Publisher: PANGAEA - Data Publisher for Earth & Environmental Science
Project: EC | PAST4FUTURE (243908)
In this dataset, we present Fe, Na and Ca concentration and fluxes retrieved from the North Greenland Eemian Ice Drilling (NEEM) ice core project, covering the last 108 kyrs. The sampling resolution was 110 cm. To ensure an effective dissolution of Fe particles, samples were acidified to pH 1 using Suprapure nitric acid and stored at room temperature for 1 month before the analysis. The ice samples were analyzed with an Inductively Coupled Plasma Single Quadrupole Mass Spectrometer equipped with a quartz Scott spray chamber. Limits of Detection, calculated as three times the standard deviation of the blanks, were 0.8 µg L-1 for 57Fe, 1 µg L-1 for Ca and 3 µg L-1 for Na. Our results show that Holocene Fe fluxes (0.042 -11.7 kyr b2k, 0.5 mg m-2 yr-1) at the NEEM site were four times lower than the average recorded over the last glacial period (11.7– 108 kyr b2k, 2.0 mg m-2 yr-1), while they were greater during the Last Glacial Maximum (LGM, 14.5 – 26.5 kyr b2k, 3.6 mg m-2 yr-1) and Marine Isotope Stage 4 (MIS 4, 60 - 71 kyr b2k, 5.8 mg m-2 yr-1). We present Fe, Ca and Na concentration and fluxes. Dating (GICC05modelext-NEEM-1) and accumulation data are from Rasmussen et al., 2013.
This dataset contains key characteristics about the data described in the Data Descriptor Dating historical droughts from religious ceremonies, the international pro pluvia rogation database. Contents: 1. human readable metadata summary table in CSV format 2. machine readable metadata file in JSON format
This table contains the quantities of each pottery class at each site identified during archaeological surveys in Vidarbha, Maharashtra, India. The data is arranged according to the archaeological sites. For each site, the number of sherds and the MNI count are presented.
Project: EC | HeLLo (796712), EC | 20-20 3D MEDIA (215475), EC | HeLLo (796712), EC | 20-20 3D MEDIA (215475)
This record contains raw data of a 3-month monitoring period of the HeLLo project. The datafiles titled MeasLog_YYYY-MM-DD.dat correspond to the raw data used for the data analysis presented in “Hygrothermal analysis at critical points of an internally insulated historic wall without vapour barrier: in situ measurements and dynamic simulation”, submitted for publication in journal energies. Each file, format MeasLog_YYYY-MM-DD.dat, corresponds to daily registered data monitored every minute. Each file, format MeasLog_YYYY-MM-DD.dat, contains temperature (T) and relative humidity (RH) values, monitored through T-RH sensors (Telaire T9602; Amphenol). The general architecture of the acquisition system is based on a Master Slave configuratio, as described in “Development of a Compatible, Low Cost and High Accurate Conservation Remote Sensing Technology for the Hygrothermal Assessment of Historic Walls” (doi:10.3390/electronics8060643). Each file, format MeasLog_YYYY-MM-DD.dat is a text-based DAT file and can be opened with a standard text editor.
This dataset comprises the results of regional archaeological surveys carried out in Vidarbha in 2016 under the directorship of Dr. Riza Abbas, INHCRF, with official permission granted by the Archaeological Survey of India. This upload contains the following data groups: photographs, site plans, and written records of all archaeological sites and remains encountered during survey. This dataset is released under a Creative Commons Attribution 4.0 International licence (CC-BY). For the terms of the licence see: https://creativecommons.org/licenses/by/4.0/legalcode If reused, please cited as: Abbas, R., Toraskar, S. and Hawles, J. (2020). The Archaeology of Vidarbha, Maharashtra: 2016 Regional Survey Data. Dataset. http://doi.org/10.5281/zenodo.3668997. For further information about this dataset, including details of the context, methods used to collected data, and ways in which they can be reused, see: Abbas, R., Toraskar, S. and Hawkes, J. (2020 Under Review). Multi-period regional survey data from Vidarbha, Maharashtra, India. Journal of Open Archaeological Data.