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Research data keyboard_double_arrow_right Dataset 2024 Netherlands EnglishPublisher:4TU.ResearchData Authors: Helfenstein, Anatol; Mulder, Vera L.; Hack-ten Broeke, Mirjam J.D.; van Doorn, Maarten; +3 AuthorsHelfenstein, Anatol; Mulder, Vera L.; Hack-ten Broeke, Mirjam J.D.; van Doorn, Maarten; Teuling, Kees; Walvoort, Dennis J.J.; Heuvelink, Gerard B.M.;This dataset contains 206 spatially explicit environmental variables, also termed covariates, at 25m resolution that cover the entire Netherlands (national scale). The raster data are comprised of covariates related to the soil-forming factors (climate, organism/land use/land cover, relief/topography, parent material/geology) for the purpose of using them for digital soil mapping. However, since the covariates cover a wide range of environmental variables, they can potentially be used for spatial modelling in the Netherlands also outside the field of soil science. All covariates can also be found from the original source, but the potential strength and practicality of this dataset lies in the broad range of readily available, collected, prepared and harmonized raster data.The metadata of all the covariates in this dataset can be found in the "00_covariates_metadata.csv" file, including information about the names, category, value types, specific value types, type of geospatial data, file type, whether its static or dynamic, temporal coverage, date/version, resolution (all 25m), origin, source, access/license, description, processing steps and comments. The dataset includes 3 different types of files:GeoTIFF (.tif): the covariates as raster data at 25m resolution in the EPSG:28992 (Amersfoort / RD New) spatial projectionText (.txt): README files for each covariate with additional metadata information (filename ending in "_readme.txt")Tabular data (.csv): Classification and re-classification table for categorical covariates (filename ending in "_reclassify.csv")Note that the reclassification tables contain potential ways to reclassify the data provided, but can be altered by the user. Reclassification may be useful for categorical covariates with a large number of classes/categories. Note that covariates with CC BY-ND 4.0 licenses, covariates that are not open data or for which the license was unknown are not shared in this dataset.More information about these covariates can be found in the associated scientific paper "BIS-4D: Mapping soil properties and their uncertainties at 25m resolution in the Netherlands" (Helfenstein et al., 2024, under review). Different ways of pre-processing and preparing the covariates for subsequent modelling can be found in R scripts 20-25 in the associated code repository on GitLab. This includes assembling and preparing covariates using GDAL ("20_cov_prep_gdal.R"), computing digital elevation model (DEM) derivatives using SAGA GIS ("21_cov_dem_deriv_saga.R"), deriving spectral indices from RGBNIR bands of Sentinel 2 images ("22_cov_sensing_deriv.R"), preparing categorical covariates using GDAL ("23_cov_cat_recl_gdal.R"), deriving dynamic covariates ("24_cov_dyn_prep_gdal.R") and exploratory analysis of the covariates ("25_cov_expl_analysis_clorpt.Rmd", "25_cov_expl_analysis_cont_cat.Rmd").
Research@WUR; 4TU.Re... arrow_drop_down 4TU.ResearchData | science.engineering.designDataset . 2024License: CC BY NC SAData sources: Datacite4TU.ResearchData | science.engineering.designDataset . 2024License: CC BY NC SAData sources: Dataciteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert Research@WUR; 4TU.Re... arrow_drop_down 4TU.ResearchData | science.engineering.designDataset . 2024License: CC BY NC SAData sources: Datacite4TU.ResearchData | science.engineering.designDataset . 2024License: CC BY NC SAData sources: Dataciteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2023 EnglishPublisher:Zenodo Authors: Opitz, Rachel;Opitz, Rachel;This dataset contains the anonymised responses and basic analysis of responses to the survey of archaeological and heritage management professionals specialising in remote sensing, carried out in 2023 by the joint Working Party of the European Archaeological Consilium, Aerial Archaeology Research Group, and International Society for Archaeological Prospection. The survey questions, included in the dataset, focussed on the skills, capacities and resources available in the remote sensing professional community and assessments of future needs.
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For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!visibility 12visibility views 12 download downloads 3 Powered bymore_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2023 EnglishPublisher:Zenodo Authors: Vinci, Giacomo; Vanzani, Federica; Fontana, Alessandro; Campana, Stefano;Vinci, Giacomo; Vanzani, Federica; Fontana, Alessandro; Campana, Stefano;Here we present a systematic survey of works published in international journals in 2001–2022, with the aim of providing an annotated bibliography on the theme and collect quantitative information about each case study. Data collected allowed to analyze the geographic distribution of LiDAR-based studies, the specifics of acquisitions, the topography and vegetation cover of each study area, the characteristics of the material culture detected, major goals and integrated techniques.
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For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!visibility 8visibility views 8 download downloads 5 Powered bymore_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2023 GermanPublisher:Zenodo Authors: Rinne, Christoph;Rinne, Christoph;Spatialite database (SQLite) with data of the Neolithic collective grave Niedertiefenbach in Hesse (Germany). Data collected from the published images and copies of the corresponding lithographs in the archive (Wurm et al., Fundberichte aus Hessen Bd. 3, 1963, 56-78). Data collection from CRC 1266: "Scales of Transformation - Human-Environmental Interaction in Prehistoric and Archaic Societies". Project: "Regional and Local Patterns of 3rd Millennium Transformations of Social and Economic Practices in the Central German Mountain Range (D2)". Funded by the DFG. DFG project number: 2901391021 {"references": ["C. Rinne/K. Fuchs/J. Muhlack/C. D\u00f6rfer/A. Mehl/M. Nutsua/B. Krause-Kyora, Niedertiefenbach. Ein Galeriegrab der sp\u00e4tneolithischen Wartberggruppe s\u00fcdwestlich von Niedertiefenbach (Landkreis Limburg-Weilburg, Hessen). Praehistorische Zeitschrift 91, 2, 2016, 284\u2013316. DOI: https://doi.org/10.1515/pz-2016-0020."]}
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For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!visibility 12visibility views 12 download downloads 2 Powered bymore_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2023 Netherlands EnglishPublisher:4TU.ResearchData Dai, Yi; Boekee, Judith; Schilperoort, Bart; Veldhuis, Marie-Claire ten; van de Wiel, B. J. H. (Bas);***General Introduction***This dataset contains data collected during the Clarity on Fruitfrost project at Delft University of Technology, as part of Y. Dai’s PhD Thesis project.It is being made public both to act as supplementary data for publications of Y. Dai and in order for other researchers to use this data in their own work.The data in this data set was collected in Krabbendijke, The Netherlands, 7-8 May 2021.This research project was made possible by a grant from the NWO.***Purpose of the measurement campaign***The purpose of these experiments was to study frost protection by a wind machine in a fruit orchard.***Description of the data in this data set***The data included in this data set has been organised per instrument. The files follow the nomenclature system: Month_instrument_loc with loc = wind direction + number of tree rows distance to the wind machineThe precise location of the instruments is mapped in a google earth file: data_location_4TU_May.kmz. The following instruments are included: sonic-anometer, radiometer, DTS.
4TU.ResearchData; NA... arrow_drop_down 4TU.ResearchData; NARCIS; 4TU.ResearchData | science.engineering.designDataset . 2023License: CC 0add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert 4TU.ResearchData; NA... arrow_drop_down 4TU.ResearchData; NARCIS; 4TU.ResearchData | science.engineering.designDataset . 2023License: CC 0add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2023 EnglishPublisher:Zenodo Perna, Carolina; Campana, Stefano; Sarri, Daniele; Vieri, Marco; Baldwin, Eamonn; Opitz, Rachel;These data were collected as part of a case study for the ipaast project. The aim of the survey was to produce datasets interoperable for applications in archaeology and precision agriculture. The OptRx® Crop Sensors (AgLeader Technology, Ames, IO, USA) measure the reflectance in the 630–685 nm (red), 695–750 nm (RE red edge) and 760–850 nm (NIR—Near InfraRed) wavebands. Using those wavebands, NDVI and NDRE indexes are calculated. NDVI and NDRE are vegetative indexes obtained from the red, red-edge and NIR wavebands with formulas 1 and 2: NDVI = NIR−REDNIR+RED ; NDRE= NIR−RENIR+RE The two index values range from -1 (bare ground or water) to 1 (highly vigorous vegetation). To collect data, the sensor was mounted on a ground vehicle, a Kubota B2420 tractor. The sensor was paired with a GNNS receiver, GPS 6500 from AgLeader Technology (Ames, IO, USA). The instrumentation was coupled with the hardware and the rough book (Panasonic ToughPad FG-Z1, Panasonic Core. It was possible to install the sensor facing the ground using a metal bracket positioned on the front of the tractor. The sensor was positioned 1.15 m from the ground, emitting a rectangular footprint of 1.14 m in length and 20cm in width. The data were collected every 30 cm in alternate rows. 12 rows in total were analysed, covering a surface of 1.07 ha. Data were processed on QGIS. First, the data was interpolated with the Inverse Distance Weighting (IDW) function. The function was set up with a distance coefficient P of 4, with 40 rows and 98 columns. A Gaussian filter with a standard deviation value of 2 and a range of research of 3 was subsequently applied to create a representative raster.
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For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!visibility 4visibility views 4 download downloads 33 Powered bymore_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2023 EnglishPublisher:Zenodo Authors: Baldwin, Eamonn; de Smedt, Philippe; Opitz, Rachel;Baldwin, Eamonn; de Smedt, Philippe; Opitz, Rachel;These data were collected by Soyl Ltd as part of a commercial agricultural soil survey. They were reprocessed by the University of Ghent ipaast team.
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For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!visibility 7visibility views 7 download downloads 26 Powered bymore_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2023 EnglishPublisher:Zenodo Authors: Mayoral Herrera, Victorino; Baldwin, Eamonn; Terron Lopez, Jose Maria; Opitz, Rachel;Mayoral Herrera, Victorino; Baldwin, Eamonn; Terron Lopez, Jose Maria; Opitz, Rachel;VV01 (“Cerca del cementerio” sector). Data set description. One single geophysical method was used: Electromagnetic induction with a EM38Mk2 by Geonics. Although topography obliged to split the survey area in 3 independent data sets, after correction and merging of all the data in one single data set it was observed that, considering the small time lapse between each one and homogeneous weather conditions, no significant discontinuity in measured data was observed. The interest on testing EMI survey in this dehesa environment within the framework of the IPAAST project was motivated with a triple objective: The aim of exploring off-site activities around the hillfort of Villasviejas: traces of intensive agriculture, industrial activities, dumping areas, mining etc. The aim of assessing the composition and depth of soils in the area in order to evaluate the representativeness of surface finds and make a regression analysis on the potential distribution of arable lands during the Iron Age in the area. The aim of combining geophysical methods commonly used in precision agriculture and archaeology in order to evaluate their interoperability and the complementary information they can provide. VV01 sector corresponds to an area of dehesa named “Cerca del cementerio” (“cemetery enclosure”): it is a land plot 70m SW of the hillfort with a surface of 5240 sq. m. Previous knowledge of the area revealed the presence of a high density of archaeological materials, but there was no clear evidence of buried structures. A particular feature of this sector was the great depth of soil deposits within the walled enclosure, in great contrast with the surrounding fields. Data sets: EMI04. 01 Vector limits of survey area 02 Vector file of point data 03 Raster interpolation of quad-phase (conductivity) 0,5m 04 Raster interpolation of quad-phase (conductivity) 1m 05 Raster interpolation of in-phase (magnetic susceptibility) 0,5m 06 Raster interpolation of in-phase (magnetic susceptibility) 1m VV02 (Mercadillo sector). Data set description. Two main methods were used: Magnetic survey: a dual-sensor gradiometer system (Grad602 Bartington) Electromagnetic induction with a EM38Mk2 by Geonics. Dense vegetation and topography obliged to split the survey area in 3 independent data sets. Additionally several areas were surveyed with GPR (Nogging system of Sensor&Software). The interest on testing different survey methods in the framework of the IPAAST project was motivated with a triple objective: The aim of exploring off-site activities around the hillfort of Villasviejas: traces of intensive agriculture, industrial activities, dumping areas, mining etc. The aim of assessing the composition and depth of soils in the area in order to evaluate the representativeness of surface finds and make a regression analysis on the potential distribution of arable lands during the Iron Age in the area. The aim of combining geophysical methods commonly used in precision agriculture and archaeology in order to evaluate their interoperability and the complementary information they can provide. VV02 sector corresponds to an area of dehesa named “El Mercadillo (“little market”). It is located 150 m south of the hillfort of Villasviejas and covers a surface of approx. 3500 sq m. In this sector was excavated in the 1980s a funerary area corresponding to the earliest period of the hillfort (IV-II centuries B.C). Analysis of LiDAR data revealed that in the same area there were several topographic features that could be linked with off-site activity during the protohistoric and early roman period. Data sets: EMI01. 01 Vector limits of survey area 02 Vector file of point data 03 Raster interpolation of quad-phase (conductivity) 0,5m 04 Raster interpolation of quad-phase (conductivity) 1m 05 Raster interpolation of in-phase (magnetic susceptibility) 0,5m 06 Raster interpolation of in-phase (magnetic susceptibility) 1m EMI02. 01 Vector limits of survey area 02 Vector file of point data 03 Raster interpolation of quad-phase (conductivity) 0,5m 04 Raster interpolation of quad-phase (conductivity) 1m 05 Raster interpolation of in-phase (magnetic susceptibility) 0,5m 06 Raster interpolation of in-phase (magnetic susceptibility) 1m EMI03. 01 Vector limits of survey area 02 Vector file of point data 03 Raster interpolation of quad-phase (conductivity) 0,5m 04 Raster interpolation of quad-phase (conductivity) 1m 05 Raster interpolation of in-phase (magnetic susceptibility) 0,5m 06 Raster interpolation of in-phase (magnetic susceptibility) 1m MAG01. 01 Vector limits of survey area. 02 Vector point file of vertices of survey area. 03 Grid composite. 04 Raster interpolation of magnetic data.
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For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!visibility 7visibility views 7 download downloads 13 Powered bymore_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2023 EnglishPublisher:Zenodo Authors: Mayoral Herrera, Victorino; Terron Lopez, Jose Maria; Baldwin, Eamonn; Opitz, Rachel;Mayoral Herrera, Victorino; Terron Lopez, Jose Maria; Baldwin, Eamonn; Opitz, Rachel;The interest in testing different survey methods within the framework of the IPAAST project was motivated by three objectives: identifying evidence of rural life in the hinterland of the Roman colony of Augusta Emerita, with special attention to forms of resilience and diversification of agrarian activities beyond the areas of highest productivity of the alluvial plain of the Guadiana River. assessing the composition and depth of soils in the area in order to evaluate the representativeness of surface finds and perform a regression analysis to assess the potential distribution of arable lands in the area from Roman times to the present. combining geophysical methods commonly used in precision agriculture and archaeology in order to evaluate their interoperability and the complementary information they can provide. Attention was focused on a sector of the estate where two elements were coincident 1) preliminary evidence suggested the estate’s highest concentration of archaeological finds. 2) land plots within the estate used for grazing where LIFE Adapt experiments were undertaken. This area encompassed approximately. 6.5 ha. 2 geophysical methods for the exploration were used: Magnetic survey: a 2 sensors gradiometer system was used (Grad602 Bartington). Data sets: RC_MAG 01 Vector limits of survey area. 02 Vector point file of vertices of survey area. 03 Grid composite. 04 Raster interpolation of magnetic data. Electromagnetic induction with a EM38Mk2 by Geonics. Data sets: RC_EMI01. 01 Vector limits of survey area 02 Vector file of point data (raw data) 03 Raster interpolation of quad-phase (conductivity) 0,5m 04 Raster interpolation of quad-phase (conductivity) 1m 05 Raster interpolation of in-phase (magnetic susceptibility) 0,5m 06 Raster interpolation of in-phase (magnetic susceptibility) 1m RC_EMI02. 01 Vector limits of survey area 02 Vector file of point data 03 Raster interpolation of quad-phase (conductivity) 0,5m 04 Raster interpolation of quad-phase (conductivity) 1m 05 Raster interpolation of in-phase (magnetic susceptibility) 0,5m 06 Raster interpolation of in-phase (magnetic susceptibility) 1m
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For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!visibility 10visibility views 10 download downloads 8 Powered bymore_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2023 EnglishPublisher:Zenodo Authors: Baldwin, Eamonn; Opitz, Rachel;Baldwin, Eamonn; Opitz, Rachel;This data provides the basis for the report titled "Ready for integrated sustainable agricultural land management? Are practitioners in archaeology and agriculture informed, willing, enabled, and motivated to change how they work with remote and near-surface sensing data to collaboratively address contemporary challenges in sustainable agricultural land management? " Data were collected in compliance with the University of Glasgow's Research Ethics Policy (Application #100200154). As stated in the Methods section of this report: "The participatory survey was conducted between May 2021 and October 2022. Location: The preponderance of stakeholders engaged with are professional practitioners or researchers based in the UK, Belgium, Italy, Cyprus, Spain and France. Sessions occurred remotely (online/phone), as well as on site, during workshops at the University of Glasgow, the Dalswinton Estate, Dumfries, and Manor Farm, Yedingham. Participants Selection: A sub-group of 51 high-level participants were selected from a greater network of 86 stakeholders who were engaged with during the ipaast project. Sector: Farmers, researchers, heritage managers, geophysicists, remote sensing specialists, statisticians, soil scientists, service providers, sensor developers, and data archivists, who all deal directly, or indirectly with datasets relating to the measurement of soil and/or plant properties (physical, chemical, microbial) were represented (Table 1) Expertise: Engagement with mid- to late- career specialists was prioritised, with many participants having over 20 years of experience and most having over 10 years of experience (including time during the PhD). Interview method Engagement with stakeholders was primarily through one-to-one interviews and structured workshop discussions, conducted either in person, or remotely over video conference or phone. In some instances, participants provided written input (see Table 2 summary). Follow-up interviews or written exchanges were used to clarify or continue discussions when required. A semi-structured approach to interviews and discussions was preferred, with a mix of general questions (see sample questions), as well as questions specifically tailored to the participants specialist background and experience. Sample Questions: What types of sensing data do you use/collect? Where/how do you access/collect these data? What are your main aims/applications in using or collecting these data? How often do you access/collect, or anticipate accessing/collecting, these data to be useful to you? What spatial resolution is necessary for these data to be useful to you? What, if anything, would encourage/discourage you from sharing your data? What kinds of additional data types or additional information (metadata) might help you to better understand and use data which you have previously collected or received? What do you see as the main impacts, if any, of ecosystem service frameworks and/or recent changes to rural/environmental regulations on your work? What attitudes to sensing data do you see from other stakeholders in rural affairs? Documentation: Where viable, interviews and workshop discussions were recorded and transcribed; alternatively, notes were made during engagement by either the interviewer and/or dedicated participant observers (e.g. at workshops). Where notes were used, specific quotes and summary reports were checked with the participants for accuracy. " Please see the linked report for details on the analysis and key findings.
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For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!visibility 30visibility views 30 download downloads 8 Powered bymore_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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Research data keyboard_double_arrow_right Dataset 2024 Netherlands EnglishPublisher:4TU.ResearchData Authors: Helfenstein, Anatol; Mulder, Vera L.; Hack-ten Broeke, Mirjam J.D.; van Doorn, Maarten; +3 AuthorsHelfenstein, Anatol; Mulder, Vera L.; Hack-ten Broeke, Mirjam J.D.; van Doorn, Maarten; Teuling, Kees; Walvoort, Dennis J.J.; Heuvelink, Gerard B.M.;This dataset contains 206 spatially explicit environmental variables, also termed covariates, at 25m resolution that cover the entire Netherlands (national scale). The raster data are comprised of covariates related to the soil-forming factors (climate, organism/land use/land cover, relief/topography, parent material/geology) for the purpose of using them for digital soil mapping. However, since the covariates cover a wide range of environmental variables, they can potentially be used for spatial modelling in the Netherlands also outside the field of soil science. All covariates can also be found from the original source, but the potential strength and practicality of this dataset lies in the broad range of readily available, collected, prepared and harmonized raster data.The metadata of all the covariates in this dataset can be found in the "00_covariates_metadata.csv" file, including information about the names, category, value types, specific value types, type of geospatial data, file type, whether its static or dynamic, temporal coverage, date/version, resolution (all 25m), origin, source, access/license, description, processing steps and comments. The dataset includes 3 different types of files:GeoTIFF (.tif): the covariates as raster data at 25m resolution in the EPSG:28992 (Amersfoort / RD New) spatial projectionText (.txt): README files for each covariate with additional metadata information (filename ending in "_readme.txt")Tabular data (.csv): Classification and re-classification table for categorical covariates (filename ending in "_reclassify.csv")Note that the reclassification tables contain potential ways to reclassify the data provided, but can be altered by the user. Reclassification may be useful for categorical covariates with a large number of classes/categories. Note that covariates with CC BY-ND 4.0 licenses, covariates that are not open data or for which the license was unknown are not shared in this dataset.More information about these covariates can be found in the associated scientific paper "BIS-4D: Mapping soil properties and their uncertainties at 25m resolution in the Netherlands" (Helfenstein et al., 2024, under review). Different ways of pre-processing and preparing the covariates for subsequent modelling can be found in R scripts 20-25 in the associated code repository on GitLab. This includes assembling and preparing covariates using GDAL ("20_cov_prep_gdal.R"), computing digital elevation model (DEM) derivatives using SAGA GIS ("21_cov_dem_deriv_saga.R"), deriving spectral indices from RGBNIR bands of Sentinel 2 images ("22_cov_sensing_deriv.R"), preparing categorical covariates using GDAL ("23_cov_cat_recl_gdal.R"), deriving dynamic covariates ("24_cov_dyn_prep_gdal.R") and exploratory analysis of the covariates ("25_cov_expl_analysis_clorpt.Rmd", "25_cov_expl_analysis_cont_cat.Rmd").
Research@WUR; 4TU.Re... arrow_drop_down 4TU.ResearchData | science.engineering.designDataset . 2024License: CC BY NC SAData sources: Datacite4TU.ResearchData | science.engineering.designDataset . 2024License: CC BY NC SAData sources: Dataciteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert Research@WUR; 4TU.Re... arrow_drop_down 4TU.ResearchData | science.engineering.designDataset . 2024License: CC BY NC SAData sources: Datacite4TU.ResearchData | science.engineering.designDataset . 2024License: CC BY NC SAData sources: Dataciteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2023 EnglishPublisher:Zenodo Authors: Opitz, Rachel;Opitz, Rachel;This dataset contains the anonymised responses and basic analysis of responses to the survey of archaeological and heritage management professionals specialising in remote sensing, carried out in 2023 by the joint Working Party of the European Archaeological Consilium, Aerial Archaeology Research Group, and International Society for Archaeological Prospection. The survey questions, included in the dataset, focussed on the skills, capacities and resources available in the remote sensing professional community and assessments of future needs.
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You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5281/zenodo.8337801&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!visibility 12visibility views 12 download downloads 3 Powered bymore_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5281/zenodo.8337801&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2023 EnglishPublisher:Zenodo Authors: Vinci, Giacomo; Vanzani, Federica; Fontana, Alessandro; Campana, Stefano;Vinci, Giacomo; Vanzani, Federica; Fontana, Alessandro; Campana, Stefano;Here we present a systematic survey of works published in international journals in 2001–2022, with the aim of providing an annotated bibliography on the theme and collect quantitative information about each case study. Data collected allowed to analyze the geographic distribution of LiDAR-based studies, the specifics of acquisitions, the topography and vegetation cover of each study area, the characteristics of the material culture detected, major goals and integrated techniques.
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You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5281/zenodo.8174094&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!visibility 8visibility views 8 download downloads 5 Powered bymore_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2023 GermanPublisher:Zenodo Authors: Rinne, Christoph;Rinne, Christoph;Spatialite database (SQLite) with data of the Neolithic collective grave Niedertiefenbach in Hesse (Germany). Data collected from the published images and copies of the corresponding lithographs in the archive (Wurm et al., Fundberichte aus Hessen Bd. 3, 1963, 56-78). Data collection from CRC 1266: "Scales of Transformation - Human-Environmental Interaction in Prehistoric and Archaic Societies". Project: "Regional and Local Patterns of 3rd Millennium Transformations of Social and Economic Practices in the Central German Mountain Range (D2)". Funded by the DFG. DFG project number: 2901391021 {"references": ["C. Rinne/K. Fuchs/J. Muhlack/C. D\u00f6rfer/A. Mehl/M. Nutsua/B. Krause-Kyora, Niedertiefenbach. Ein Galeriegrab der sp\u00e4tneolithischen Wartberggruppe s\u00fcdwestlich von Niedertiefenbach (Landkreis Limburg-Weilburg, Hessen). Praehistorische Zeitschrift 91, 2, 2016, 284\u2013316. DOI: https://doi.org/10.1515/pz-2016-0020."]}
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For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!visibility 12visibility views 12 download downloads 2 Powered bymore_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2023 Netherlands EnglishPublisher:4TU.ResearchData Dai, Yi; Boekee, Judith; Schilperoort, Bart; Veldhuis, Marie-Claire ten; van de Wiel, B. J. H. (Bas);***General Introduction***This dataset contains data collected during the Clarity on Fruitfrost project at Delft University of Technology, as part of Y. Dai’s PhD Thesis project.It is being made public both to act as supplementary data for publications of Y. Dai and in order for other researchers to use this data in their own work.The data in this data set was collected in Krabbendijke, The Netherlands, 7-8 May 2021.This research project was made possible by a grant from the NWO.***Purpose of the measurement campaign***The purpose of these experiments was to study frost protection by a wind machine in a fruit orchard.***Description of the data in this data set***The data included in this data set has been organised per instrument. The files follow the nomenclature system: Month_instrument_loc with loc = wind direction + number of tree rows distance to the wind machineThe precise location of the instruments is mapped in a google earth file: data_location_4TU_May.kmz. The following instruments are included: sonic-anometer, radiometer, DTS.
4TU.ResearchData; NA... arrow_drop_down 4TU.ResearchData; NARCIS; 4TU.ResearchData | science.engineering.designDataset . 2023License: CC 0add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert 4TU.ResearchData; NA... arrow_drop_down 4TU.ResearchData; NARCIS; 4TU.ResearchData | science.engineering.designDataset . 2023License: CC 0add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.4121/20583801&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2023 EnglishPublisher:Zenodo Perna, Carolina; Campana, Stefano; Sarri, Daniele; Vieri, Marco; Baldwin, Eamonn; Opitz, Rachel;These data were collected as part of a case study for the ipaast project. The aim of the survey was to produce datasets interoperable for applications in archaeology and precision agriculture. The OptRx® Crop Sensors (AgLeader Technology, Ames, IO, USA) measure the reflectance in the 630–685 nm (red), 695–750 nm (RE red edge) and 760–850 nm (NIR—Near InfraRed) wavebands. Using those wavebands, NDVI and NDRE indexes are calculated. NDVI and NDRE are vegetative indexes obtained from the red, red-edge and NIR wavebands with formulas 1 and 2: NDVI = NIR−REDNIR+RED ; NDRE= NIR−RENIR+RE The two index values range from -1 (bare ground or water) to 1 (highly vigorous vegetation). To collect data, the sensor was mounted on a ground vehicle, a Kubota B2420 tractor. The sensor was paired with a GNNS receiver, GPS 6500 from AgLeader Technology (Ames, IO, USA). The instrumentation was coupled with the hardware and the rough book (Panasonic ToughPad FG-Z1, Panasonic Core. It was possible to install the sensor facing the ground using a metal bracket positioned on the front of the tractor. The sensor was positioned 1.15 m from the ground, emitting a rectangular footprint of 1.14 m in length and 20cm in width. The data were collected every 30 cm in alternate rows. 12 rows in total were analysed, covering a surface of 1.07 ha. Data were processed on QGIS. First, the data was interpolated with the Inverse Distance Weighting (IDW) function. The function was set up with a distance coefficient P of 4, with 40 rows and 98 columns. A Gaussian filter with a standard deviation value of 2 and a range of research of 3 was subsequently applied to create a representative raster.
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For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!visibility 4visibility views 4 download downloads 33 Powered bymore_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2023 EnglishPublisher:Zenodo Authors: Baldwin, Eamonn; de Smedt, Philippe; Opitz, Rachel;Baldwin, Eamonn; de Smedt, Philippe; Opitz, Rachel;These data were collected by Soyl Ltd as part of a commercial agricultural soil survey. They were reprocessed by the University of Ghent ipaast team.
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For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!visibility 7visibility views 7 download downloads 26 Powered bymore_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2023 EnglishPublisher:Zenodo Authors: Mayoral Herrera, Victorino; Baldwin, Eamonn; Terron Lopez, Jose Maria; Opitz, Rachel;Mayoral Herrera, Victorino; Baldwin, Eamonn; Terron Lopez, Jose Maria; Opitz, Rachel;VV01 (“Cerca del cementerio” sector). Data set description. One single geophysical method was used: Electromagnetic induction with a EM38Mk2 by Geonics. Although topography obliged to split the survey area in 3 independent data sets, after correction and merging of all the data in one single data set it was observed that, considering the small time lapse between each one and homogeneous weather conditions, no significant discontinuity in measured data was observed. The interest on testing EMI survey in this dehesa environment within the framework of the IPAAST project was motivated with a triple objective: The aim of exploring off-site activities around the hillfort of Villasviejas: traces of intensive agriculture, industrial activities, dumping areas, mining etc. The aim of assessing the composition and depth of soils in the area in order to evaluate the representativeness of surface finds and make a regression analysis on the potential distribution of arable lands during the Iron Age in the area. The aim of combining geophysical methods commonly used in precision agriculture and archaeology in order to evaluate their interoperability and the complementary information they can provide. VV01 sector corresponds to an area of dehesa named “Cerca del cementerio” (“cemetery enclosure”): it is a land plot 70m SW of the hillfort with a surface of 5240 sq. m. Previous knowledge of the area revealed the presence of a high density of archaeological materials, but there was no clear evidence of buried structures. A particular feature of this sector was the great depth of soil deposits within the walled enclosure, in great contrast with the surrounding fields. Data sets: EMI04. 01 Vector limits of survey area 02 Vector file of point data 03 Raster interpolation of quad-phase (conductivity) 0,5m 04 Raster interpolation of quad-phase (conductivity) 1m 05 Raster interpolation of in-phase (magnetic susceptibility) 0,5m 06 Raster interpolation of in-phase (magnetic susceptibility) 1m VV02 (Mercadillo sector). Data set description. Two main methods were used: Magnetic survey: a dual-sensor gradiometer system (Grad602 Bartington) Electromagnetic induction with a EM38Mk2 by Geonics. Dense vegetation and topography obliged to split the survey area in 3 independent data sets. Additionally several areas were surveyed with GPR (Nogging system of Sensor&Software). The interest on testing different survey methods in the framework of the IPAAST project was motivated with a triple objective: The aim of exploring off-site activities around the hillfort of Villasviejas: traces of intensive agriculture, industrial activities, dumping areas, mining etc. The aim of assessing the composition and depth of soils in the area in order to evaluate the representativeness of surface finds and make a regression analysis on the potential distribution of arable lands during the Iron Age in the area. The aim of combining geophysical methods commonly used in precision agriculture and archaeology in order to evaluate their interoperability and the complementary information they can provide. VV02 sector corresponds to an area of dehesa named “El Mercadillo (“little market”). It is located 150 m south of the hillfort of Villasviejas and covers a surface of approx. 3500 sq m. In this sector was excavated in the 1980s a funerary area corresponding to the earliest period of the hillfort (IV-II centuries B.C). Analysis of LiDAR data revealed that in the same area there were several topographic features that could be linked with off-site activity during the protohistoric and early roman period. Data sets: EMI01. 01 Vector limits of survey area 02 Vector file of point data 03 Raster interpolation of quad-phase (conductivity) 0,5m 04 Raster interpolation of quad-phase (conductivity) 1m 05 Raster interpolation of in-phase (magnetic susceptibility) 0,5m 06 Raster interpolation of in-phase (magnetic susceptibility) 1m EMI02. 01 Vector limits of survey area 02 Vector file of point data 03 Raster interpolation of quad-phase (conductivity) 0,5m 04 Raster interpolation of quad-phase (conductivity) 1m 05 Raster interpolation of in-phase (magnetic susceptibility) 0,5m 06 Raster interpolation of in-phase (magnetic susceptibility) 1m EMI03. 01 Vector limits of survey area 02 Vector file of point data 03 Raster interpolation of quad-phase (conductivity) 0,5m 04 Raster interpolation of quad-phase (conductivity) 1m 05 Raster interpolation of in-phase (magnetic susceptibility) 0,5m 06 Raster interpolation of in-phase (magnetic susceptibility) 1m MAG01. 01 Vector limits of survey area. 02 Vector point file of vertices of survey area. 03 Grid composite. 04 Raster interpolation of magnetic data.
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You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5281/zenodo.7863782&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!visibility 7visibility views 7 download downloads 13 Powered bymore_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5281/zenodo.7863782&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2023 EnglishPublisher:Zenodo Authors: Mayoral Herrera, Victorino; Terron Lopez, Jose Maria; Baldwin, Eamonn; Opitz, Rachel;Mayoral Herrera, Victorino; Terron Lopez, Jose Maria; Baldwin, Eamonn; Opitz, Rachel;The interest in testing different survey methods within the framework of the IPAAST project was motivated by three objectives: identifying evidence of rural life in the hinterland of the Roman colony of Augusta Emerita, with special attention to forms of resilience and diversification of agrarian activities beyond the areas of highest productivity of the alluvial plain of the Guadiana River. assessing the composition and depth of soils in the area in order to evaluate the representativeness of surface finds and perform a regression analysis to assess the potential distribution of arable lands in the area from Roman times to the present. combining geophysical methods commonly used in precision agriculture and archaeology in order to evaluate their interoperability and the complementary information they can provide. Attention was focused on a sector of the estate where two elements were coincident 1) preliminary evidence suggested the estate’s highest concentration of archaeological finds. 2) land plots within the estate used for grazing where LIFE Adapt experiments were undertaken. This area encompassed approximately. 6.5 ha. 2 geophysical methods for the exploration were used: Magnetic survey: a 2 sensors gradiometer system was used (Grad602 Bartington). Data sets: RC_MAG 01 Vector limits of survey area. 02 Vector point file of vertices of survey area. 03 Grid composite. 04 Raster interpolation of magnetic data. Electromagnetic induction with a EM38Mk2 by Geonics. Data sets: RC_EMI01. 01 Vector limits of survey area 02 Vector file of point data (raw data) 03 Raster interpolation of quad-phase (conductivity) 0,5m 04 Raster interpolation of quad-phase (conductivity) 1m 05 Raster interpolation of in-phase (magnetic susceptibility) 0,5m 06 Raster interpolation of in-phase (magnetic susceptibility) 1m RC_EMI02. 01 Vector limits of survey area 02 Vector file of point data 03 Raster interpolation of quad-phase (conductivity) 0,5m 04 Raster interpolation of quad-phase (conductivity) 1m 05 Raster interpolation of in-phase (magnetic susceptibility) 0,5m 06 Raster interpolation of in-phase (magnetic susceptibility) 1m
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5281/zenodo.7863891&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!visibility 10visibility views 10 download downloads 8 Powered bymore_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5281/zenodo.7863891&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2023 EnglishPublisher:Zenodo Authors: Baldwin, Eamonn; Opitz, Rachel;Baldwin, Eamonn; Opitz, Rachel;This data provides the basis for the report titled "Ready for integrated sustainable agricultural land management? Are practitioners in archaeology and agriculture informed, willing, enabled, and motivated to change how they work with remote and near-surface sensing data to collaboratively address contemporary challenges in sustainable agricultural land management? " Data were collected in compliance with the University of Glasgow's Research Ethics Policy (Application #100200154). As stated in the Methods section of this report: "The participatory survey was conducted between May 2021 and October 2022. Location: The preponderance of stakeholders engaged with are professional practitioners or researchers based in the UK, Belgium, Italy, Cyprus, Spain and France. Sessions occurred remotely (online/phone), as well as on site, during workshops at the University of Glasgow, the Dalswinton Estate, Dumfries, and Manor Farm, Yedingham. Participants Selection: A sub-group of 51 high-level participants were selected from a greater network of 86 stakeholders who were engaged with during the ipaast project. Sector: Farmers, researchers, heritage managers, geophysicists, remote sensing specialists, statisticians, soil scientists, service providers, sensor developers, and data archivists, who all deal directly, or indirectly with datasets relating to the measurement of soil and/or plant properties (physical, chemical, microbial) were represented (Table 1) Expertise: Engagement with mid- to late- career specialists was prioritised, with many participants having over 20 years of experience and most having over 10 years of experience (including time during the PhD). Interview method Engagement with stakeholders was primarily through one-to-one interviews and structured workshop discussions, conducted either in person, or remotely over video conference or phone. In some instances, participants provided written input (see Table 2 summary). Follow-up interviews or written exchanges were used to clarify or continue discussions when required. A semi-structured approach to interviews and discussions was preferred, with a mix of general questions (see sample questions), as well as questions specifically tailored to the participants specialist background and experience. Sample Questions: What types of sensing data do you use/collect? Where/how do you access/collect these data? What are your main aims/applications in using or collecting these data? How often do you access/collect, or anticipate accessing/collecting, these data to be useful to you? What spatial resolution is necessary for these data to be useful to you? What, if anything, would encourage/discourage you from sharing your data? What kinds of additional data types or additional information (metadata) might help you to better understand and use data which you have previously collected or received? What do you see as the main impacts, if any, of ecosystem service frameworks and/or recent changes to rural/environmental regulations on your work? What attitudes to sensing data do you see from other stakeholders in rural affairs? Documentation: Where viable, interviews and workshop discussions were recorded and transcribed; alternatively, notes were made during engagement by either the interviewer and/or dedicated participant observers (e.g. at workshops). Where notes were used, specific quotes and summary reports were checked with the participants for accuracy. " Please see the linked report for details on the analysis and key findings.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5281/zenodo.7831649&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!visibility 30visibility views 30 download downloads 8 Powered bymore_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5281/zenodo.7831649&type=result"></script>'); --> </script>
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