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Research data keyboard_double_arrow_right Dataset 2022Embargo end date: 03 Feb 2023 Spain EnglishPublisher:CSIC-UC - Instituto de F??sica de Cantabria (IFCA) Authors: CSIC-UC - Instituto de Física de Cantabria (IFCA);CSIC-UC - Instituto de Física de Cantabria (IFCA);handle: 10261/306168
IPCC-WGI AR6 Interactive Atlas dataset: Monthly gridded data from the global (CMIP5, CMIP6) and regional (CORDEX) model projections for the impact-relevant variables and indices included in the IPCC Interactive Atlas (https://interactive-atlas.ipcc.ch). CF Standard Name Table (Version 79, 2022-03-19) Peer reviewed
Recolector de Cienci... arrow_drop_down Recolector de Ciencia Abierta, RECOLECTA; DIGITAL.CSICDataset . 2023 . 2022 . Peer-reviewedadd 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!visibility 190visibility views 190 download downloads 76 Powered bymore_vert Recolector de Cienci... arrow_drop_down Recolector de Ciencia Abierta, RECOLECTA; DIGITAL.CSICDataset . 2023 . 2022 . Peer-reviewedadd 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 2020Embargo end date: 10 Nov 2020 Spain SpanishPublisher:DIGITAL.CSIC Authors: Rodríguez, Sergio; De La Rosa, Jesús D.; López-Darias, Jessica;Rodríguez, Sergio; De La Rosa, Jesús D.; López-Darias, Jessica;handle: 10261/222577
This dataset contains observations of chemical composition of PM10 airborne particles during February 2020 at El Rio site (Tenerife, Canary Islands, 28.145140oN, 16.523732oW, 500 meters above sea level), including the period 22-24 February, when the Canary Islands were impacted by a severe dust storm. Elemental composition was determined by IPC-OES and IPC-MS (after acid HNO3 : HF : HClO4 digestion), ions and cations by ion chromatography (after leaching in ultrasound bath) and elemental and organic carbon by Thermo-Optical Transmittance. Sergio Rodríguez Jesús de la Rosa y Jessica López-Darias. Base de datos del Estudio sobre la meteorología, niveles y composición de las partículas en suspensión durante la SuperCalima de febrero de 2020 en Canarias. Informe del CSIC, la Universidad e Huelva y la Universidad de La Laguna para la Consejería de Transición Ecológica, Lucha contra el Cambio Climático y Planificación Territorial del Gobierno de Canarias. Estudio financiado por el Gobierno de Canarias. Consejería de Transición Ecológica, Lucha contra el Cambio Climático y Planificación Territorial. Peer reviewed
Recolector de Cienci... arrow_drop_down Recolector de Ciencia Abierta, RECOLECTA; DIGITAL.CSICDataset . 2020 . Peer-reviewedadd 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!visibility 44visibility views 44 download downloads 54 Powered bymore_vert Recolector de Cienci... arrow_drop_down Recolector de Ciencia Abierta, RECOLECTA; DIGITAL.CSICDataset . 2020 . Peer-reviewedadd 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 2020Embargo end date: 27 Jul 2020 Spain EnglishPublisher:Digital.CSIC Funded by:EC | CAPTOREC| CAPTORAuthors: Ferrer-Cid, Pau; Barceló-Ordinas, José María; García Vidal, Jorge; Ripoll, Anna; +1 AuthorsFerrer-Cid, Pau; Barceló-Ordinas, José María; García Vidal, Jorge; Ripoll, Anna; Viana, Mar;handle: 10261/217106
This dataset contains python scripts to calibrate tropospheric ozone sensor data obtained in the H2020 Captor project using sensor fusion techniques. Four different models are implemented; Multiple Linear Regression (MLR), K-Nearest Neighbors (KNN),Random Forest(RF) and Support Vector Regression (SVR). The methodology consists of first applying the PLS procedure to derive orthogonal components (to avoid multicollinearity problems). Afterwards, the components are used as features in the machine learning algorithms, so the models are trained. The scripts available in this repository have been used in the elaboration of the paper: "Multi-sensor data fusion calibration in IoT air pollution platforms" submitted to the IEEE Internet of Things journal. National Spanish funding; Regional Project; EU H2020 CAPTOR Project; AGAUR SGR44; 10.13039/501100011033-Agencia Estatal de Investigación; Spanish Ministry of Economy, Industry and Competitiveness The data folder is includes the five different data sets used in the paper along with a metadata file, where the different features are explained. Peer reviewed
Recolector de Cienci... arrow_drop_down Recolector de Ciencia Abierta, RECOLECTA; DIGITAL.CSICDataset . 2020 . Peer-reviewedadd 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!visibility 26visibility views 26 download downloads 4 Powered bymore_vert Recolector de Cienci... arrow_drop_down Recolector de Ciencia Abierta, RECOLECTA; DIGITAL.CSICDataset . 2020 . Peer-reviewedadd 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=10.20350/digitalcsic/12563&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2019Embargo end date: 27 Jul 2020 Spain EnglishPublisher:Digital.CSIC Funded by:EC | CAPTOREC| CAPTORPau Ferrer-Cid; Jose M. Barcelo-Ordinas; Jorge Garcia-Vidal; Ana Ripoll; Mar Viana;handle: 10261/217107
Data used in paper "A comparative study of calibration methods for low-cost ozone sensors in IoT platforms", submitted for publication. The data consists of: (i) raw data from three nodes with four MICS 2614 metal-oxide ozone sensors deployed in Spain, summer 2017, and (ii) raw data of five alphasense OX-B431 and NO2-B43F electro-chemical sensors, four deployed in Italy and one in Austria, summers 2017 and 2018. Moreover, we have added the calibrated data using four machine learning methods: Multiple Linear Regression (MLR), K-Nearest Neighbors (KNN), Random Forest (RF) and Support Vector Regression (SVR). Peer reviewed
ZENODO arrow_drop_down Recolector de Ciencia Abierta, RECOLECTA; DIGITAL.CSICDataset . 2019 . 2020 . Peer-reviewedadd 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!visibility 290visibility views 290 download downloads 80 Powered bymore_vert ZENODO arrow_drop_down Recolector de Ciencia Abierta, RECOLECTA; DIGITAL.CSICDataset . 2019 . 2020 . Peer-reviewedadd 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=10.20350/digitalcsic/12564&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2019Embargo end date: 03 Feb 2020 Spain EnglishPublisher:Elsevier BV Authors: Mercedes-Martin, Ramon; Tritlla, Jordi; Ayora, Carlos; Sanchez-Roman, Monica;Mercedes-Martin, Ramon; Tritlla, Jordi; Ayora, Carlos; Sanchez-Roman, Monica;handle: 10261/199461
Supersaturaton due to mixing: the “algebraic effect” and Single-crystal and polycrystalline calcite growth Peer reviewed
DANS-EASY arrow_drop_down Recolector de Ciencia Abierta, RECOLECTA; DIGITAL.CSICDataset . 2019 . Peer-reviewedadd 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.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!visibility 20visibility views 20 download downloads 10 Powered bymore_vert DANS-EASY arrow_drop_down Recolector de Ciencia Abierta, RECOLECTA; DIGITAL.CSICDataset . 2019 . Peer-reviewedadd 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=10.20350/digitalcsic/10542&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2018Embargo end date: 27 Jul 2020 Spain EnglishPublisher:Digital.CSIC Funded by:EC | CAPTOREC| CAPTORAuthors: Viana, Mar; Ripoll, Anna; Barceló-Ordinas, José María; García Vidal, Jorge;Viana, Mar; Ripoll, Anna; Barceló-Ordinas, José María; García Vidal, Jorge;handle: 10261/217029 , 10261/285722
Ozone concentrations in ambient air collected using low-cost sensor technologies, in the framework of EU project CAPTOR. Data collected during summer 2018 in NE Spain and N Italy. Sensors are metal-oxide. Data are calibrated using multiple linear regression, and validated against official reference data from each local air quality monitoring network. More details on the calibration and data validation may be found in A. Ripoll et al. / Science of the Total Environment 651 (2019) 1166–1179. European Commission: CAPTOR - Collective Awareness Platform for Tropospheric Ozone Pollution (688110) Peer reviewed
Recolector de Cienci... arrow_drop_down Recolector de Ciencia Abierta, RECOLECTA; DIGITAL.CSICDataset . 2020 . 2018 . Peer-reviewedRecolector de Ciencia Abierta, RECOLECTA; DIGITAL.CSICDataset . 2019 . 2022 . Peer-reviewedadd 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=10.20350/digitalcsic/12557&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 1Kvisibility views 1,144 download downloads 85 Powered bymore_vert Recolector de Cienci... arrow_drop_down Recolector de Ciencia Abierta, RECOLECTA; DIGITAL.CSICDataset . 2020 . 2018 . Peer-reviewedRecolector de Ciencia Abierta, RECOLECTA; DIGITAL.CSICDataset . 2019 . 2022 . Peer-reviewedadd 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=10.20350/digitalcsic/12557&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Film 2013 Spain SpanishPublisher:Digital.CSIC Authors: Moreno Gómez, Esteban; Cejudo Rodríguez, Salomé; Martínez de Andrés, Alejandro;Moreno Gómez, Esteban; Cejudo Rodríguez, Salomé; Martínez de Andrés, Alejandro;handle: 10261/78318
PELÍCULA DE RECURSO EDUCATIVO (KIDS.CSIC). Se pretende que los protagonistas (niños) se impliquen realicen un razonamiento inductivo a raíz del hallazgo de un fósil. La profesora les guiará y aprovechando lo que ya saben (conocimiento del medio en educación primaria) de rocas y su capacidad de observación descubrirán una parte de la historia de la tierra y la relacionaran con su entorno cotidiano (las rocas de su pueblo). Objetivos Particulares: 1) Determinar qué edades son propicias para asimilar el modelo de tierra dinámica. 2) Relacionar de forma somera y sesgada la historia del planeta tierra con la historia geológica de su pueblo. 3) Introducir el concepto de fósil. 4) Introducir el concepto de roca. 5) Inferir de forma cualitativa la relación espacio-temporal implican los conceptos de roca y fósil. 6) Poner en valor el trabajo de los docentes de Centros Rurales así como las oportunidades que brinda su entorno para la enseñanza de las ciencias naturales. RECURSO EDUCATIVO DE LA PLATAFORMA WEB KIDS.CSIC. Película de dibujos animados. Duración: 8 minutos y 22 segundos. Formato: FLV LOW RESOLUTION VIDEO, FOR HIGH RESOLUTION VISIT: http://www.kids.csic.es/cuentos/cuentos.html MINECO - SECRETARÍA DE ESTADO DE INVESTIGACIÓN, DESARROLLO E INNOVACIÓN.Acciones complementarias para los Proyectos de Investigación Fundamental no orientada REFERENCIA EDU2010-12059-E
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.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!visibility 50visibility views 50 download downloads 7 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 2022Embargo end date: 03 Feb 2023 Spain EnglishPublisher:CSIC-UC - Instituto de F??sica de Cantabria (IFCA) Authors: CSIC-UC - Instituto de Física de Cantabria (IFCA);CSIC-UC - Instituto de Física de Cantabria (IFCA);handle: 10261/306168
IPCC-WGI AR6 Interactive Atlas dataset: Monthly gridded data from the global (CMIP5, CMIP6) and regional (CORDEX) model projections for the impact-relevant variables and indices included in the IPCC Interactive Atlas (https://interactive-atlas.ipcc.ch). CF Standard Name Table (Version 79, 2022-03-19) Peer reviewed
Recolector de Cienci... arrow_drop_down Recolector de Ciencia Abierta, RECOLECTA; DIGITAL.CSICDataset . 2023 . 2022 . Peer-reviewedadd 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.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!visibility 190visibility views 190 download downloads 76 Powered bymore_vert Recolector de Cienci... arrow_drop_down Recolector de Ciencia Abierta, RECOLECTA; DIGITAL.CSICDataset . 2023 . 2022 . Peer-reviewedadd 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 2020Embargo end date: 10 Nov 2020 Spain SpanishPublisher:DIGITAL.CSIC Authors: Rodríguez, Sergio; De La Rosa, Jesús D.; López-Darias, Jessica;Rodríguez, Sergio; De La Rosa, Jesús D.; López-Darias, Jessica;handle: 10261/222577
This dataset contains observations of chemical composition of PM10 airborne particles during February 2020 at El Rio site (Tenerife, Canary Islands, 28.145140oN, 16.523732oW, 500 meters above sea level), including the period 22-24 February, when the Canary Islands were impacted by a severe dust storm. Elemental composition was determined by IPC-OES and IPC-MS (after acid HNO3 : HF : HClO4 digestion), ions and cations by ion chromatography (after leaching in ultrasound bath) and elemental and organic carbon by Thermo-Optical Transmittance. Sergio Rodríguez Jesús de la Rosa y Jessica López-Darias. Base de datos del Estudio sobre la meteorología, niveles y composición de las partículas en suspensión durante la SuperCalima de febrero de 2020 en Canarias. Informe del CSIC, la Universidad e Huelva y la Universidad de La Laguna para la Consejería de Transición Ecológica, Lucha contra el Cambio Climático y Planificación Territorial del Gobierno de Canarias. Estudio financiado por el Gobierno de Canarias. Consejería de Transición Ecológica, Lucha contra el Cambio Climático y Planificación Territorial. Peer reviewed
Recolector de Cienci... arrow_drop_down Recolector de Ciencia Abierta, RECOLECTA; DIGITAL.CSICDataset . 2020 . Peer-reviewedadd 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!visibility 44visibility views 44 download downloads 54 Powered bymore_vert Recolector de Cienci... arrow_drop_down Recolector de Ciencia Abierta, RECOLECTA; DIGITAL.CSICDataset . 2020 . Peer-reviewedadd 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 2020Embargo end date: 27 Jul 2020 Spain EnglishPublisher:Digital.CSIC Funded by:EC | CAPTOREC| CAPTORAuthors: Ferrer-Cid, Pau; Barceló-Ordinas, José María; García Vidal, Jorge; Ripoll, Anna; +1 AuthorsFerrer-Cid, Pau; Barceló-Ordinas, José María; García Vidal, Jorge; Ripoll, Anna; Viana, Mar;handle: 10261/217106
This dataset contains python scripts to calibrate tropospheric ozone sensor data obtained in the H2020 Captor project using sensor fusion techniques. Four different models are implemented; Multiple Linear Regression (MLR), K-Nearest Neighbors (KNN),Random Forest(RF) and Support Vector Regression (SVR). The methodology consists of first applying the PLS procedure to derive orthogonal components (to avoid multicollinearity problems). Afterwards, the components are used as features in the machine learning algorithms, so the models are trained. The scripts available in this repository have been used in the elaboration of the paper: "Multi-sensor data fusion calibration in IoT air pollution platforms" submitted to the IEEE Internet of Things journal. National Spanish funding; Regional Project; EU H2020 CAPTOR Project; AGAUR SGR44; 10.13039/501100011033-Agencia Estatal de Investigación; Spanish Ministry of Economy, Industry and Competitiveness The data folder is includes the five different data sets used in the paper along with a metadata file, where the different features are explained. Peer reviewed
Recolector de Cienci... arrow_drop_down Recolector de Ciencia Abierta, RECOLECTA; DIGITAL.CSICDataset . 2020 . Peer-reviewedadd 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!visibility 26visibility views 26 download downloads 4 Powered bymore_vert Recolector de Cienci... arrow_drop_down Recolector de Ciencia Abierta, RECOLECTA; DIGITAL.CSICDataset . 2020 . Peer-reviewedadd 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 2019Embargo end date: 27 Jul 2020 Spain EnglishPublisher:Digital.CSIC Funded by:EC | CAPTOREC| CAPTORPau Ferrer-Cid; Jose M. Barcelo-Ordinas; Jorge Garcia-Vidal; Ana Ripoll; Mar Viana;handle: 10261/217107
Data used in paper "A comparative study of calibration methods for low-cost ozone sensors in IoT platforms", submitted for publication. The data consists of: (i) raw data from three nodes with four MICS 2614 metal-oxide ozone sensors deployed in Spain, summer 2017, and (ii) raw data of five alphasense OX-B431 and NO2-B43F electro-chemical sensors, four deployed in Italy and one in Austria, summers 2017 and 2018. Moreover, we have added the calibrated data using four machine learning methods: Multiple Linear Regression (MLR), K-Nearest Neighbors (KNN), Random Forest (RF) and Support Vector Regression (SVR). Peer reviewed
ZENODO arrow_drop_down Recolector de Ciencia Abierta, RECOLECTA; DIGITAL.CSICDataset . 2019 . 2020 . Peer-reviewedadd 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!visibility 290visibility views 290 download downloads 80 Powered bymore_vert ZENODO arrow_drop_down Recolector de Ciencia Abierta, RECOLECTA; DIGITAL.CSICDataset . 2019 . 2020 . Peer-reviewedadd 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 2019Embargo end date: 03 Feb 2020 Spain EnglishPublisher:Elsevier BV Authors: Mercedes-Martin, Ramon; Tritlla, Jordi; Ayora, Carlos; Sanchez-Roman, Monica;Mercedes-Martin, Ramon; Tritlla, Jordi; Ayora, Carlos; Sanchez-Roman, Monica;handle: 10261/199461
Supersaturaton due to mixing: the “algebraic effect” and Single-crystal and polycrystalline calcite growth Peer reviewed
DANS-EASY arrow_drop_down Recolector de Ciencia Abierta, RECOLECTA; DIGITAL.CSICDataset . 2019 . Peer-reviewedadd 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=10.20350/digitalcsic/10542&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 20visibility views 20 download downloads 10 Powered bymore_vert DANS-EASY arrow_drop_down Recolector de Ciencia Abierta, RECOLECTA; DIGITAL.CSICDataset . 2019 . Peer-reviewedadd 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=10.20350/digitalcsic/10542&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2018Embargo end date: 27 Jul 2020 Spain EnglishPublisher:Digital.CSIC Funded by:EC | CAPTOREC| CAPTORAuthors: Viana, Mar; Ripoll, Anna; Barceló-Ordinas, José María; García Vidal, Jorge;Viana, Mar; Ripoll, Anna; Barceló-Ordinas, José María; García Vidal, Jorge;handle: 10261/217029 , 10261/285722
Ozone concentrations in ambient air collected using low-cost sensor technologies, in the framework of EU project CAPTOR. Data collected during summer 2018 in NE Spain and N Italy. Sensors are metal-oxide. Data are calibrated using multiple linear regression, and validated against official reference data from each local air quality monitoring network. More details on the calibration and data validation may be found in A. Ripoll et al. / Science of the Total Environment 651 (2019) 1166–1179. European Commission: CAPTOR - Collective Awareness Platform for Tropospheric Ozone Pollution (688110) Peer reviewed
Recolector de Cienci... arrow_drop_down Recolector de Ciencia Abierta, RECOLECTA; DIGITAL.CSICDataset . 2020 . 2018 . Peer-reviewedRecolector de Ciencia Abierta, RECOLECTA; DIGITAL.CSICDataset . 2019 . 2022 . Peer-reviewedadd 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.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!visibility 1Kvisibility views 1,144 download downloads 85 Powered bymore_vert Recolector de Cienci... arrow_drop_down Recolector de Ciencia Abierta, RECOLECTA; DIGITAL.CSICDataset . 2020 . 2018 . Peer-reviewedRecolector de Ciencia Abierta, RECOLECTA; DIGITAL.CSICDataset . 2019 . 2022 . Peer-reviewedadd 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=10.20350/digitalcsic/12557&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Film 2013 Spain SpanishPublisher:Digital.CSIC Authors: Moreno Gómez, Esteban; Cejudo Rodríguez, Salomé; Martínez de Andrés, Alejandro;Moreno Gómez, Esteban; Cejudo Rodríguez, Salomé; Martínez de Andrés, Alejandro;handle: 10261/78318
PELÍCULA DE RECURSO EDUCATIVO (KIDS.CSIC). Se pretende que los protagonistas (niños) se impliquen realicen un razonamiento inductivo a raíz del hallazgo de un fósil. La profesora les guiará y aprovechando lo que ya saben (conocimiento del medio en educación primaria) de rocas y su capacidad de observación descubrirán una parte de la historia de la tierra y la relacionaran con su entorno cotidiano (las rocas de su pueblo). Objetivos Particulares: 1) Determinar qué edades son propicias para asimilar el modelo de tierra dinámica. 2) Relacionar de forma somera y sesgada la historia del planeta tierra con la historia geológica de su pueblo. 3) Introducir el concepto de fósil. 4) Introducir el concepto de roca. 5) Inferir de forma cualitativa la relación espacio-temporal implican los conceptos de roca y fósil. 6) Poner en valor el trabajo de los docentes de Centros Rurales así como las oportunidades que brinda su entorno para la enseñanza de las ciencias naturales. RECURSO EDUCATIVO DE LA PLATAFORMA WEB KIDS.CSIC. Película de dibujos animados. Duración: 8 minutos y 22 segundos. Formato: FLV LOW RESOLUTION VIDEO, FOR HIGH RESOLUTION VISIT: http://www.kids.csic.es/cuentos/cuentos.html MINECO - SECRETARÍA DE ESTADO DE INVESTIGACIÓN, DESARROLLO E INNOVACIÓN.Acciones complementarias para los Proyectos de Investigación Fundamental no orientada REFERENCIA EDU2010-12059-E
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.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!visibility 50visibility views 50 download downloads 7 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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