Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
208
datasets available to search
ShareScore release 0.7.1
Dataset results
208 results for “EPA”
Illinois EPA Ambient Lake Monitoring Program (ALMP): lake water chemistry, 2001-2004
The Illinois EPA’s Ambient Lake Monitoring Program (ALMP) was created in 1977 in cooperation with the IL Department of Conservation to assess trends in a select few IL public lakes. The Illinois EPA biologists work out of three Illinois EPA regional offices: Springfield, Marion, and Des Plaines and monitor lakes in their respective areas. Approximately fifty lakes are monitored annually and of those, twenty-five are termed “Core Lakes”. A total of 75 publicly-owned lakes were chosen throughout the state of Illinois as Core Lakes. Previously these lakes were monitored every three years in order to establish a long-term monitoring trends database. In 2008 these lakes and select others were monitored on a five year rotational basis. All lakes are monitored five times yearly; once during the spring runoff and turnover period (April or May), three times during the summer (June, July, August), and once during the fall turnover period (October). Depending on the size of the lake, usually three lake sites are monitored. Monitoring includes collection of water quality and sediment samples as well as, field observation data/measurements such as Secchi disk transparency readings, dissolved oxygen, temperature, quantity of algae, macrophytes, and other key aspects of the lake and sampling event. Water quality samples are collected from one foot below the surface at all sites and two feet above the bottom at only the deepest site. These samples are routinely analyzed for suspended solids, nutrients, and chlorophyll. Additional parameters may be added for a designated period of time at select lakes based on changing data needs.
Illinois EPA Ambient Lake Monitoring Program (ALMP): lake water chemistry for all labs, 2004-2005
The Illinois EPA’s Ambient Lake Monitoring Program (ALMP) was created in 1977 in cooperation with the IL Department of Conservation to assess trends in a select few IL public lakes. The Illinois EPA biologists work out of three Illinois EPA regional offices: Springfield, Marion, and Des Plaines and monitor lakes in their respective areas. Approximately fifty lakes are monitored annually and of those, twenty-five are termed “Core Lakes”. A total of 75 publicly-owned lakes were chosen throughout the state of Illinois as Core Lakes. Previously these lakes were monitored every three years in order to establish a long-term monitoring trends database. In 2008 these lakes and select others were monitored on a five year rotational basis. All lakes are monitored five times yearly; once during the spring runoff and turnover period (April or May), three times during the summer (June, July, August), and once during the fall turnover period (October). Depending on the size of the lake, usually three lake sites are monitored. Monitoring includes collection of water quality and sediment samples as well as, field observation data/measurements such as Secchi disk transparency readings, dissolved oxygen, temperature, quantity of algae, macrophytes, and other key aspects of the lake and sampling event. Water quality samples are collected from one foot below the surface at all sites and two feet above the bottom at only the deepest site. These samples are routinely analyzed for suspended solids, nutrients, and chlorophyll. Additional parameters may be added for a designated period of time at select lakes based on changing data needs.
Illinois EPA Ambient Lake Monitoring Program (ALMP): lake water chemistry for all labs, 2006-2008
The Illinois EPA’s Ambient Lake Monitoring Program (ALMP) was created in 1977 in cooperation with the IL Department of Conservation to assess trends in a select few IL public lakes. The Illinois EPA biologists work out of three Illinois EPA regional offices: Springfield, Marion, and Des Plaines and monitor lakes in their respective areas. Approximately fifty lakes are monitored annually and of those, twenty-five are termed “Core Lakes”. A total of 75 publicly-owned lakes were chosen throughout the state of Illinois as Core Lakes. Previously these lakes were monitored every three years in order to establish a long-term monitoring trends database. In 2008 these lakes and select others were monitored on a five year rotational basis. All lakes are monitored five times yearly; once during the spring runoff and turnover period (April or May), three times during the summer (June, July, August), and once during the fall turnover period (October). Depending on the size of the lake, usually three lake sites are monitored. Monitoring includes collection of water quality and sediment samples as well as, field observation data/measurements such as Secchi disk transparency readings, dissolved oxygen, temperature, quantity of algae, macrophytes, and other key aspects of the lake and sampling event. Water quality samples are collected from one foot below the surface at all sites and two feet above the bottom at only the deepest site. These samples are routinely analyzed for suspended solids, nutrients, and chlorophyll. Additional parameters may be added for a designated period of time at select lakes based on changing data needs.
Illinois EPA Ambient Lake Monitoring Program (ALMP): lake water chemistry for all labs, 2009
The Illinois EPA’s Ambient Lake Monitoring Program (ALMP) was created in 1977 in cooperation with the IL Department of Conservation to assess trends in a select few IL public lakes. The Illinois EPA biologists work out of three Illinois EPA regional offices: Springfield, Marion, and Des Plaines and monitor lakes in their respective areas. Approximately fifty lakes are monitored annually and of those, twenty-five are termed “Core Lakes”. A total of 75 publicly-owned lakes were chosen throughout the state of Illinois as Core Lakes. Previously these lakes were monitored every three years in order to establish a long-term monitoring trends database. In 2008 these lakes and select others were monitored on a five year rotational basis. All lakes are monitored five times yearly; once during the spring runoff and turnover period (April or May), three times during the summer (June, July, August), and once during the fall turnover period (October). Depending on the size of the lake, usually three lake sites are monitored. Monitoring includes collection of water quality and sediment samples as well as, field observation data/measurements such as Secchi disk transparency readings, dissolved oxygen, temperature, quantity of algae, macrophytes, and other key aspects of the lake and sampling event. Water quality samples are collected from one foot below the surface at all sites and two feet above the bottom at only the deepest site. These samples are routinely analyzed for suspended solids, nutrients, and chlorophyll. Additional parameters may be added for a designated period of time at select lakes based on changing data needs.
Illinois EPA Ambient Lake Monitoring Program (ALMP): lake water chemistry from the Champlaign laboratory, 2006
The Illinois EPA’s Ambient Lake Monitoring Program (ALMP) was created in 1977 in cooperation with the IL Department of Conservation to assess trends in a select few IL public lakes. The Illinois EPA biologists work out of three Illinois EPA regional offices: Springfield, Marion, and Des Plaines and monitor lakes in their respective areas. Approximately fifty lakes are monitored annually and of those, twenty-five are termed “Core Lakes”. A total of 75 publicly-owned lakes were chosen throughout the state of Illinois as Core Lakes. Previously these lakes were monitored every three years in order to establish a long-term monitoring trends database. In 2008 these lakes and select others were monitored on a five year rotational basis. All lakes are monitored five times yearly; once during the spring runoff and turnover period (April or May), three times during the summer (June, July, August), and once during the fall turnover period (October). Depending on the size of the lake, usually three lake sites are monitored. Monitoring includes collection of water quality and sediment samples as well as, field observation data/measurements such as Secchi disk transparency readings, dissolved oxygen, temperature, quantity of algae, macrophytes, and other key aspects of the lake and sampling event. Water quality samples are collected from one foot below the surface at all sites and two feet above the bottom at only the deepest site. These samples are routinely analyzed for suspended solids, nutrients, and chlorophyll. Additional parameters may be added for a designated period of time at select lakes based on changing data needs.
U.S.-EPA-BELD4-Equivalent Landuse Database for Canada – Version 2
<p>Air Quality Research Division, Environment and Climate Change Canada,</p> <p>4905 Dufferin Street, Toronto, Ontario, M3H 5T4, Canada</p> <p>Email: Junhua.zhang@canada.ca</p> <p> </p> <p>The first version of a U.S.-EPA-BELD4-equivalent landuse database for Canada was compiled in 2018 by Environment and Climate Change Canada (ECCC) based on: (1) the first version of Canada-wide tree species composition maps based on the 2001 Canadian National Forest Inventory (NFI; Beaudoin et al., 2014); (2) the 2016 Canadian Annual Crop Inventory (ACI); and (3) the Land Cover Classification System surface hydrology (LCCS3) data set contained in the Collection 6 MODIS Land Cover product MCD12Q1 (Zhang and Moran, 2018). Recently, an improved mapping approach for estimating forest attributes from MODIS imagery was applied to reprocess the 2001 NFI-based species composition maps and to create a new set of species composition maps for 2011 using 2011 MODIS imagery (Beaudoin et al., 2017a,b). The new mapping approach resulted in an improved set of 2001 species composition maps as indicated by increased correlation coefficients and decreased mean deviations (MD) and root-mean-square deviations (RMSD) between 35,305 MODIS reference pixels for 2001 and the 2001 NFI photo-plot product (Beaudoin et al., 2017b). In addition, for the new 2011 species composition maps, expected reductions in forest coverage were seen for areas of Canada that had experienced rapid development between 2001 and 2011, such as the Athabasca Oil Sands (AOS) area in northeastern Alberta and areas near major urban centres such as Toronto and Vancouver. Given the improved mapping approach and the greater recentness of the 2011 tree species composition maps, the Canadian BELD4 landuse database was updated using these new 2011 maps and the same methodology described in Zhang and Moran (2018). Note that no change was made to the ACI and MODIS Land Cover product data sets that were used to develop this new database version.</p> <p>Because the number of tree species considered in the 2001 NFI-based forest composition maps was reduced from 109 in the first version to 75 in the second version due to the least abundant tree species being lumped with other related species (Beaudoin et al., 2017b), gridded fractional-coverage fields for the U.S.-EPA-BELD4-equivalent landuse categories compiled for Canada have also been reduced, from 92 in the first version of the Canadian BELD4 database to 80 in this second version. The mapping from the 75 NFI tree species to the U.S. Environmental Protection Agency (EPA) BELD4 landuse categories is shown in the attached spreadsheet “ACI_NFI_BELD4_species_match_V2.xlsx”, along with the unchanged mapping of 62 ACI species and other landuse categories. The mapping used to link the LCCS3 categories to the BELD4 categories also remains unchanged and is described in the attached Excel file “MODIS_LCCS3_BELD4_mapping.xlsx”. </p> <p>The updated version 2 of the Canadian BELD4 landuse database is provided here in GeoTIFF format at 1-km resolution for a Lambert conformal conic projection (+proj=lcc +lat_1=49 +lat_2=77 +lat_0=0 +lon_0=-95 +x_0=0 +y_0=0 +ellps=GRS80 +units=m +no_defs) in the compressed file “CAN-BELD4_tif_V2.7z”. Note that to use this dataset in conjunction with the U.S. EPA BELD4 database (<a href="https://www.epa.gov/air-emissions-modeling/biogenic-emission-sources">https://www.epa.gov/air-emissions-modeling/biogenic-emission-sources</a>), all MODIS landuse categories in the original EPA BELD4 database must be removed for Canada to avoid double-counting. Plots of the 80 matched Canadian and U.S. BELD4 vegetation species and other landuse categories in the new Canadian BELD4 database are shown in the attached file “CAN_US_Matched_BELD4_Species_Plots_V2.pdf”. Lastly, an overview and description of the updated Canadian BELD4 landuse database was presented at a recent conference (Zhang et al., 2019, <a href="https://www.epa.gov/sites/production/files/2019-08/documents/800am_zhang_2_0.pdf">https://www.epa.gov/sites/production/files/2019-08/documents/800am_zhang_2_0.pdf</a>); this presentation is also provided in this package as file “2019EI_Updated_BELD4_Impact_on_VOC_emissions.pptx”. </p> <p> </p> <p><strong>REFERENCES</strong></p> <p>Beaudoin, A., Bernier, P.Y., Guindon, L., Villemaire, P., Guo, X.J., Stinson, G., Bergeron, T., Magnussen, S., and Hall, R.J.: Mapping attributes of Canada’s forests at moderate resolution through kNN and MODIS imagery. <em>Canadian Journal of Forest Research</em>, <strong>44</strong>, 521–532, <a href="https://doi.org/10.1139/cjfr-2013-0401">https://doi.org/10.1139/cjfr-2013-0401</a>, 2014.</p> <p>Beaudoin A., Bernier P.Y., Villemaire P., Guindon L., Guo X.-J., Species composition, forest properties and land cover types across Canada’s forests at 250m resolution for 2001 and 2011. Natural Resources Canada, Canadian Forest Service, Laurentian Forestry Centre, Quebec, Canada, <a href="https://doi.org/10.23687/ec9e2659-1c29-4ddb-87a2-6aced147a990">https://doi.org/10.23687/ec9e2659-1c29-4ddb-87a2-6aced147a990</a>, 2017a.</p> <p>Beaudoin, A., Bernier, P.Y., Villemaire, P., Guindon, L., Guo, X.-J., Tracking forest attributes across Canada between 2001 and 2011 using a kNN mapping approach applied to MODIS imagery, <em>Canadian Journal of Forest Research</em>, 48: 85–93, <a href="https://doi.org/10.1139/cjfr-2017-0184">https://doi.org/10.1139/cjfr-2017-0184</a>, 2017b.</p> <p>Zhang, J. and Moran, M. D., U.S.-EPA-BELD4-Equivalent Landuse Database for Canada [Data set]. Zenodo. <a href="http://doi.org/10.5281/zenodo.2231047">http://doi.org/10.5281/zenodo.2231047</a>, 2018.</p> <p>Zhang, J., Moran, M.D., and He, Z.: Updates to Version 4 of the Biogenic Emissions Landuse Database (BELD4) for Canada and Impacts on Biogenic VOC Emissions, <em>2019 International Emissions Inventory Conference, </em>July 29th – Aug. 2nd, Dallas, Texas, USA, <a href="https://www.epa.gov/sites/production/files/2019-08/documents/800am_zhang_2_0.pdf">https://www.epa.gov/sites/production/files/2019-08/documents/800am_zhang_2_0.pdf</a>, 2019.</p> <p> </p> <p><strong>AcknowledgementS</strong></p> <p>We are very grateful for the dedicated assistance of Dr. Zhuanshi He of SOLANA Networks Inc. in preparing this updated version of the database. </p> <p> </p> <p><strong>RELATED DATA SETS AND MATERIALS</strong></p> <ol> <li>“CAN-BELD4_tif_V2.7z” – Version 2 of the extended BELD4 GeoTIFF file for Canada</li> <li>“ACI_NFI_BELD4_species_match_V2.xlsx” – Version 2 of the NFI/ACI-BELD4 landuse-category crosswalk file</li> <li>“MODIS_LCCS3_BELD4_mapping.xlsx” – MODIS-BELD4 landuse-category crosswalk file (same as in Version 1)</li> <li>“CAN_US_Matched_BELD4_Species_Plots_V2.pdf” – Plots of 80 updated BELD4 landuse category fields over Canada.</li> <li>“2019EI_Updated_BELD4_Impact_on_VOC_emissions.pptx” – 2019 conference presentation on this new version of the Canadian BELD4 landuse database</li> </ol>
AMEE 2024 EPA tools workshop document
<p>Handout during the AMEE 2024 conference in Basel, session 4O</p>
Role of Eicosapentaenoic Acid (EPA) and Docosahexaenoic Acid (DHA) on Inflammation and Lipids
ClinicalTrials.gov study NCT02670382. IPD Sharing: NO. Countries: 1. Publications: 0.
Novel Approach to Increase EPA and DHA Levels
ClinicalTrials.gov study NCT07304921. IPD Sharing: YES. Countries: 1. Publications: 0.
Study in Healthy Subjects to Compare the Concentrations of the Omega-3 Fatty Acids EPA and DHA in Blood When Delivered as Three New Capsules in Relation to the Epanova® Capsule Under Fasting and Fed C
ClinicalTrials.gov study NCT02359045. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Comparison of EPA and DHA-Rich Fish Oils on Lipoprotein Metabolism In Adults
ClinicalTrials.gov study NCT02514070. IPD Sharing: Not stated. Countries: 1. Publications: 0.
A Pilot Study of Eicosapentaenoic Acid (EPA) in Patients With Cancer Cachexia
ClinicalTrials.gov study NCT00815685. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Data from: EPA-ng: massively parallel evolutionary placement of genetic sequences
Open the record for dataset details and reuse information.
NARSTO EPA Supersite (SS) Houston, Texas Air Quality Study 2000 (TexAQS2000) Department of Energy (DOE) G-1 Air Chemistry, Aerosol, and Met Data
NARSTO_EPA_SS_HOUSTON_TEXAQS2000_DOE_G-1_DATA is North American Research Strategy for Tropospheric Ozone (NARSTO) Environmental Protection Agency (EPA) Supersite (SS) Houston, Texas Air Quality Study 2000 (TexAQS2000) Department of Energy (DOE) G-1 Air Chemistry, Aerosol, and Met Data. Twenty research flights were made from August 18 to September 12, 2000.The Houston Supersite is one of several Supersites that was established in urban areas within the United States by the U.S. Environmental Protection Agency (EPA) to better understand the measurement, sources, and health effects of suspended particulate matter (PM). The overall goals were to characterize the composition and identify the sources of particulate matter in Southeastern Texas, to develop and test new methods for characterizing fine particulate matter, and to collect data on the physical and chemical characterization of fine particulate matter that can be used to support exposure and health effects studies.NARSTO, which has since disbanded, was a public/private partnership, whose membership spanned across government, utilities, industry, and academe throughout Mexico, the United States, and Canada. The primary mission was to coordinate and enhance policy-relevant scientific research and assessment of tropospheric pollution behavior; activities provide input for science-based decision-making and determination of workable, efficient, and effective strategies for local and regional air-pollution management. Data products from local, regional, and international monitoring and research programs are still available.
RNA-seq for High and low EPA+DHA group in the F2 population of the C. gigas and C.angulata crosses
GEO Series GSE293565. Magallana gigas. 6 samples. Type: Expression profiling by high throughput sequencing.
EPA Transcriptomic Assessment Product (ETAP) for 3:3 Fluorotelomer carboxylic acid
GEO Series GSE286156. Rattus norvegicus. 1008 samples. Type: Expression profiling by high throughput sequencing.
Genome-wide profiling by Next Generation Sequencing reveals protective effects of dietary EPA+DHA on chemotherapy-induced muscle toxicity in a clinically relevant model of colorectal cancer
GEO Series GSE281112. Rattus norvegicus. 20 samples. Type: Expression profiling by high throughput sequencing.
MicroRNAs Regulated by Eicosapentaenoic Acid (EPA) in Brown, Subcutaneous, and visceral Adipose Tissue of Diet-Induced Obese Mice
GEO Series GSE99506. Mus musculus. 6 samples. Type: Non-coding RNA profiling by high throughput sequencing.
EPA Transcriptomic Assessment Product (ETAP) for Perflurohexanesulfonamide
GEO Series GSE285856. Rattus norvegicus. 1008 samples. Type: Expression profiling by high throughput sequencing.
EPA Transcriptomic Assessment Product (ETAP) for 7:3 Fluorotelomer alcohol
GEO Series GSE293924. Rattus norvegicus. 998 samples. Type: Expression profiling by high throughput sequencing.
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.