Find research datasets worth reusing

Central Arizona - Phoenix Urban LTER site, station Agricultural study sites at Central Arizona-Phoenix Urban LTER, study of animal abundance of Chrysopidae in units of numberPerPitfallTrap on a yearly timescale

The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Central Arizona - Phoenix Urban LTER (CAP) contains animal abundance of Chrysopidae measurements in numberPerPitfallTrap units and were aggregated to a yearly timescale.

Central Arizona - Phoenix Urban LTER site, station Agricultural study sites at Central Arizona-Phoenix Urban LTER, study of animal abundance of Lepidoptera in units of numberPerPitfallTrap on a yearly timescale

The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Central Arizona - Phoenix Urban LTER (CAP) contains animal abundance of Lepidoptera measurements in numberPerPitfallTrap units and were aggregated to a yearly timescale.

Central Arizona - Phoenix Urban LTER site, station Agricultural study sites at Central Arizona-Phoenix Urban LTER, study of animal abundance of Diptera in units of numberPerPitfallTrap on a yearly timescale

The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Central Arizona - Phoenix Urban LTER (CAP) contains animal abundance of Diptera measurements in numberPerPitfallTrap units and were aggregated to a yearly timescale.

Central Arizona - Phoenix Urban LTER site, station Agricultural study sites at Central Arizona-Phoenix Urban LTER, study of animal abundance of Hymenoptera (ants, bees and wasps) in units of numberPerPitfallTrap on a yearly timescale

The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Central Arizona - Phoenix Urban LTER (CAP) contains animal abundance of Hymenoptera (ants, bees and wasps) measurements in numberPerPitfallTrap units and were aggregated to a yearly timescale.

Central Arizona - Phoenix Urban LTER site, station Agricultural study sites at Central Arizona-Phoenix Urban LTER, study of animal abundance of Annelida (segmented worms) in units of numberPerPitfallTrap on a yearly timescale

The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Central Arizona - Phoenix Urban LTER (CAP) contains animal abundance of Annelida (segmented worms) measurements in numberPerPitfallTrap units and were aggregated to a yearly timescale.

Central Arizona - Phoenix Urban LTER site, station Agricultural study sites at Central Arizona-Phoenix Urban LTER, study of animal abundance of Zygentoma in units of numberPerPitfallTrap on a yearly timescale

The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Central Arizona - Phoenix Urban LTER (CAP) contains animal abundance of Zygentoma measurements in numberPerPitfallTrap units and were aggregated to a yearly timescale.

Central Arizona - Phoenix Urban LTER site, station Agricultural study sites at Central Arizona-Phoenix Urban LTER, study of animal abundance of Microcoryphia in units of numberPerPitfallTrap on a yearly timescale

The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Central Arizona - Phoenix Urban LTER (CAP) contains animal abundance of Microcoryphia measurements in numberPerPitfallTrap units and were aggregated to a yearly timescale.

Central Arizona - Phoenix Urban LTER site, station Agricultural study sites at Central Arizona-Phoenix Urban LTER, study of animal abundance of Araneae (spiders) in units of numberPerPitfallTrap on a yearly timescale

The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Central Arizona - Phoenix Urban LTER (CAP) contains animal abundance of Araneae (spiders) measurements in numberPerPitfallTrap units and were aggregated to a yearly timescale.

Central Arizona - Phoenix Urban LTER site, station Agricultural study sites at Central Arizona-Phoenix Urban LTER, study of animal abundance of Araneidae in units of numberPerPitfallTrap on a yearly timescale

The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Central Arizona - Phoenix Urban LTER (CAP) contains animal abundance of Araneidae measurements in numberPerPitfallTrap units and were aggregated to a yearly timescale.

Central Arizona - Phoenix Urban LTER site, station Agricultural study sites at Central Arizona-Phoenix Urban LTER, study of animal abundance of Collembola in units of numberPerPitfallTrap on a yearly timescale

The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Central Arizona - Phoenix Urban LTER (CAP) contains animal abundance of Collembola measurements in numberPerPitfallTrap units and were aggregated to a yearly timescale.

openCustomFeb 2016View details →

KBS Stand Counts in Row Crop Agriculture on the Main Cropping System Experiment at the Kellogg Biological Station, Hickory Corners, MI (2003 to 2006)

Dataset Abstract Annual stand count data from the Main site Agronomic Plots T1 through T4. original data source http://lter.kbs.msu.edu/datasets/33

openCustomJan 2020View details →

National Agriculture Imagery Program (NAIP) Orthoimagery from 2005, Niwot Ridge LTER Project Area, Colorado

This data set contains imagery from the National AgriculturalImagery Program (NAIP). NAIP acquires digital ortho imageryduring the agricultural growing seasons in the continental U.S..A primary goal of the NAIP program is to enable availabilty ofortho imagery within a year of acquisition. NAIP provides twomain products: 1 meter ground sample distance (GSD) orthoimagery rectified to a horizontal accuracy of within +/- 5meters of reference digital ortho quarter quads (DOQQS) fromthe National Digital Ortho Program (NDOP); and, 2 meter GSDortho imagery rectified to within +/- 10 meters of referenceDOQQs. The tiling format of NAIP imagery is based on a 3.75'x 3.75' quarter quadrangle with a 360 meter buffer on all foursides. NAIP quarter quads are rectified to the UTM coordinatesystem NAD83. NAIP imagery can obtain as much as 10% cloudcover per tile. NOTE: This EML metadata file does not contain important geospatial data processing information. Before using any NWT LTER geospatial data read the arcgis metadata XML file in either ISO or FGDC compliant format, using ArcGIS software (ArcCatalog > description), or by viewing the .xml file provided with the geospatial dataset.

opencc-by-4.0Dec 2019View details →

Full list of signatories to: Pe'er et al. "Action needed for the EU Common Agricultural Policy to address sustainability challenges" (Preprint version)

This is the list of signatories to the Scientists' Statement on the EU's Common Agricultural Policy: "Action needed for the EU Common Agricultural Policy to address sustainability challenges" (Pe'er et al. 2019). The preprint version (DOI: 10.5281/zenodo.3666258) has been made available online between 4.11.2019 and 19.2.2020. Signatories were requested to read the full statement prior to adding their name in its support; and to provide a proof that they are scientists. A final version of the paper has been published in March 2020 in the journal People and Nature.

opencc-by-4.0Sep 2014View details →

Global Agricultural Land Resources – A High Resolution Suitability Evaluation and Its Perspectives until 2100 under Climate Change Conditions (v2.0)

Agricultural land resources – a global suitability evaluation An inventory is required on the changing potentially suitable areas for agriculture under changing climate conditions. Within the context of the GLUES project, researchers at the Ludwig-Maximilians University (LMU) investigated the global agricultural suitability of land under changing climate conditions at high spatial resolution. The growing demand for food, feed, fiber and bioenergy increases pressure on land and causes land use/cover change and trade-offs between different uses of land and ecosystem services. In order to ensure food security, agricultural potentials need to be used more efficiently in the future. Therefore, the agricultural suitability of land are important information e.g. in order to identify todays suitable areas and possible future changes. The potential suitability of todays forested and protected areas can be used to identify possible hotspots of land use/cover change. Therefore, LMU is working on improving the knowledge of global agricultural potentials of land and better understanding the interdependencies between ecological and socio-economic systems which are driving land use/cover change. Determining Agricultural Suitability Local climate, soil and topography determine the available energy, water and nutrient supply for agricultural crops and thus their natural suitability. In order to allow for computing the natural agricultural constraints on the globe at 30 arc seconds (1km) spatial resolution, the following high resolution data were applied: Daily data for temperature, precipitation and solar radiation from the global climate model ECHAM5. Soil data comes from the Harmonized World Soil Database (HWSD). Considered soil properties are texture, proportion of coarse fragments and gypsum, base saturation, pH content, organic carbon content, salinity, sodicity. Topography data was applied from the Shuttle Radar Topography Mission (SRTM). Irrigation has strong impact on the crop’s suitability. It is considered on todays irrigated areas as given by the FAO Aquastat Global Maps of Irrigated Areas (GMIA) dataset. The determinant factors are contrasted with the crop-specific requirements, using a fuzzy-logic approach. The crop requirements are taken from literature. Agricultural Suitability General agricultural suitability at a spatial resolution of 30 arcsec, considering rainfed conditions and irrigation on currently irrigated areas. The agricultural suitability represents for each pixel the maximum suitability value of the considered 16 plants. The dataset contains four time periods (1961-1990, 1981-2010, 2011-2040, 2071-2100). Suitability Change due to Climate until 2100 Change in agricultural suitability and crop suitability due to climate change for SRES A1B scenario conditions for 16 crops between 1981-2010 and 2071-2100 at a spatial resolution of 30 arcsec. Multiple Cropping Potential number of suitable crop cycles for 16 crops at a spatial resolution of 30 arcsec, considering rainfed conditions and irrigation on currently irrigated areas. The dataset contains four time periods (1961-1990, 1981-2010, 2011-2040, 2071-2100). Growing Cycle Start of the growing cycle for 16 crops at a spatial resolution of 30 arcsec, considering rainfed conditions and irrigation on currently irrigated areas. In case of multiple cropping, the start of the first growing cycle is shown. The dataset contains four time periods (1961-1990, 1981-2010, 2011-2040, 2071-2100). Further information Detailled information are available in the following publication: Zabel F., Putzenlechner B., Mauser W. (2014): Global agricultural land resources – a high resolution suitability evaluation and its perspectives until 2100 under climate change conditions. Online available: <a href="http://dx.plos.org/10.1371/journal.pone.0107522">PLOS ONE</a>. DOI: 10.1371/journal.pone.0107522 Improvements in v2.0 Compared to previous versions, v2.0 uses updated input data for soil and minor improvements of the statistical downscaling and the bias correction of the climate model data. Contact Please contact: Dr. Florian Zabel, <a href="mailto:f.zabel@lmu.de">f.zabel@lmu.de</a>, Department für Geographie, LMU München (<a href="http://www.geografie.uni-muenchen.de">www.geografie.uni-muenchen.de</a>)

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Trade-offs between biodiversity and agriculture are moving targets in dynamic landscapes

<ol> <li>Understanding how biodiversity responds to intensifying agriculture is critical to mitigating the trade-offs between them. These trade-offs are particularly strong in tropical and subtropical deforestation frontiers, yet it remains unclear how changing landscape context in such frontiers alters agriculture-biodiversity trade-offs.</li> <li>We focus on the Argentinean Chaco, a global deforestation hotspot, to explore how landscape context shapes trade-off curves between agricultural intensity and avian biodiversity. We use a space-for-time approach and integrate a large field dataset of bird communities (197 species, 234 survey plots), three agricultural intensity metrics (meat yield, energy yield and profit), and a range of environmental covariates in a hierarchical Bayesian occupancy framework.</li> <li>Woodland extent in the landscape consistently determines how individual bird species, and the bird community as a whole, respond to agricultural intensity. Many species switch in their fundamental response, from decreasing occupancy with increased agricultural intensity when woodland extent in the landscape is low (loser species), to increasing occupancy with increased agricultural intensity when woodland extent is high (winner species).</li> <li>This suggests that landscape context strongly mediates who wins and loses along agricultural intensity gradients. Likewise, where landscapes change, such as in deforestation frontiers, the very nature of the agriculture-biodiversity trade-offs can change as landscapes transformation progresses.</li> <li> Synthesis and applications. Schemes to mitigate agriculture-biodiversity trade-offs, such as land sparing or sharing, must consider landscape context. Strategies that are identified based on a snapshot of data risk failure in dynamic landscapes, particularly where agricultural expansion continues to reduce natural habitats. Rather than a single, fixed strategy, adaptive management of agriculture-biodiversity trade-offs is needed in such situations. Here we provide a toolset for considering changing landscape contexts when exploring such trade-offs. This can help to better align agriculture and biodiversity in tropical and subtropical deforestation <a>frontiers.</a> </li> </ol>

opencc-zeroJun 2020View details →

opencc-by-4.0Nov 2019View details →

Data produced for "Crop switching reduces agricultural losses from climate change in the United States by half"

This data archive includes all of the results from the models used to produce the paper "Crop switching reduces agricultural losses from climate change in the United States by half". It contains three main archives: 1. inputs: The temperature and water stress indicators for each crop,    along with county-level log-yields. Both the Bayesian and OLS    models are fit to this data. Static covariates are available in    us-bioclims-new.csv.        Files:        data-inputs-futureedds1.zip - data-inputs-futureedds3.zip:    GCM-specific quantifications of the exceedance degree days used as    temperature predictors.        data-inputs-other.zip: All other input files. 2. bayes: Each of the variables fit in the Bayesian model, for each    MCMC draw from the posterior distribution. The contained directory    includes for each crop versions with constant variance (-variance)    and under cross-validation (-cv). The counties are ordered    according to fips-usa.csv.    Files:    data-bayes-checks: Posterior predictive check outputs.    data-bayes-full-constvar-*.zip: MCMC draws for the all-years fit    assuming constant variance. Divided to make the files more    manageable.        data-bayes-full-varvar.zip: MCMC draws for the all-years fit    assuming county-specific variances.    data-bayes-cv-constvar.zip: MCMC draws for the cross-validation fit    assuming constant variance.    data-bayes-cv-varvar-*.zip: MCMC draws for the cross-validation fit    assuming county-specific variances. Divided to make the files more    manageable. 3. optim: Optimization model results. The results/ directory contains    the optimization results for each set of assumptions presented in    the appendix, applied to the average yield levels. The results-mc/    directory contains profit, yield, and optimization results for each    draw of the MCMC independently.    Files:        data-optim-inputs-mc.zip: Locally optimal cropping files, under    MCMC draws of the model.        data-optim-results-mc.zip: Constrainted optimization model results,    under MCMC draws of the model.        data-optim-results.zip: Constrained optimization model results,    using the average parameters of the model.        data-optim-other.zip: Other outputs of the optimization process.

opencc-by-4.0Jul 2020View details →

Agricultural Monitoring in Vojvodina, Serbia

This dataset had been collected during the LandSense agricultural demonstration pilot, which focuses on leveraging the power of Earth Observation (EO) systems and advanced crowdsourcing techniques to deliver value added services to European farmers and public authorities in the agricultural sector. Pilot activities, led by INOSENS, were localized in Vojvodina province of Serbia and were implemented over two phases. During the Phase 1 campaign (Nov, 2017-Sep, 2018), agricultural high school students and master students from University of Novi Sad were actively involved in data collection. During the Phase 2 campaign (Feb-Oct, 2019), a group of individual farmers participated in the collecting of agricultural in-situ data. The mobile and web-based <a href="https://landsense.inosens.rs/">CropSupport application</a>, developed by INOSENS was the primary tool for in-situ data collection related to crop type and farm management. Besides the functionalities for intuitive in-situ data collection, the application allows users to access (free of charge) information related to their land, such as weather forecast for the micro locations of their parcels, the LandSense Change Detection Service as well as processed satellite images that contain information on potential stress of crops due to exposure to pests, plant diseases, water scarcity or nutrient elements in the soil (e.g. NDVI, vegetation and moisture indexes). The datasets show the delineated parcels and crowdsourced in-situ photographs for crop type classification. Contributors: 1. High School students from (i) Srednja poljoprivredno-prehrambena &scaron;kola “Stevan Petrović Brile”, Ruma; (ii) Poljoprivredna &scaron;kola Bač, Bač. 2. Master Students from the University of Novi Sad 3. Farmers (“Club of farmers Selenca”, “Center for Organic production Selenca”and individual farmers from following villages: Srbobran, Zabalj) Associated files: CropSupport Attributes.csv, CropSupport images.csv, CropSupport images.geojson, CropSupport parcels.csv, CropSupport parcels.geojson This dataset is licensed under a Creative Commons Attribution 4.0 International. It is attributed to the <a href="https://landsense.eu/">LandSense Citizen Observatory</a>, <a href="https://inosens.rs/">INOSENS</a>, and <a href="https://www.sinergise.com/">SINERGISE</a>. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement no 689812.

opencc-by-4.0Aug 2020View details →

Scenario Input files for "The Domestic and International Implications of Future Climate for U.S. Agriculture in GCAM"

The GCAM scenario input files needed for the experiments described in the paper "The Domestic and International Implications of Future Climate for U.S. Agriculture in GCAM".