AndreaBozzo/ceres-open-data-index huggingface dataset:
National Status and Trends: Bioeffects Program - Southwest Puerto Rico Chemical Contaminant Assessment Summary

The purpose of the project was to characterize the extent and magnitude of chemical contamination in southwest Puerto Rico, as part of a larger effort to link coral condition with chemical contamination.  The study area extended from Guanica Bay west past the town of La Parguera. The Puerto Rico Planning Board has classified the terrestrial and marine environments of the study area as a Zone of Special Planning, and the Puerto Rico Department of Natural and Environmental Resources has designated the marine environment as a Natural Reserve.  In May 2005, a reconnaissance mission resulted in the collection of 71 sediment samples that were used to characterize sediments in the study area in terms of total organic carbon (TOC).  In August 2005, sediments were collected from 43 sites, randomly selected within the high and low TOC strata, using standard NSandT Program protocols, for contaminant analysis.  A broad suite of chemical contaminants were analyzed in the sediment samples including polycyclic aromatic hydrocarbons (PAHs), chlorinated pesticides including DDT and its metabolites, polychlorinated biphenyls (PCBs), major and trace elements, butyltins, and polybrominated flame retardants (PBDEs).  Coral tissues (mustard hill coral, Porites astreoides) were collected at eight sites and were analyzed for PAHs, chlorinated pesticides including DDT and its metabolites, PCBs, major and trace elements, and butyltins.  Water samples were analyzed for total nitrogen and total phosphorus.  This project provides valuable baseline data on sediment and coral tissue chemical contamination that is georeferenced and posted on the internet through the NOAA's National Status and Trends data portal.

Tags: analytes, and restoration (simr), atlantic ocean, bioeffects/toxicity, biosphere, butyltins, caribbean sea, caribbean sea /north atlantic ocean, chemical, chemical contaminants, coastal ocean, contaminants, coral, coral reefs, corals, country/territory, date, doc/noaa/nos/nccos, earth science, environmental monitoring, field observation, geographic area, guanica bay, hydrosphere, impacts, in situ biological, in situ chemical, inorganic, la parguera, la parguera (17n067w0002), latitude, location, long-term monitoring, longitude, mitigation, monitoring, national centers for coastal ocean science, national ocean service, nccos research data type, nccos research location, nccos research priority, nccos research topic, nitrogen, noaa, nsandt, numeric data sets, ocean basin, organic, organochlorines, pah, parameter, pcb, pesticides, phosphorus, pollution, polychlorinated biphenyls, polycyclic aromatic hydrocarbons, puerto rico, puerto rico (18n066w0000), reef damage assessment, reef monitoring and assessment, region, sediment, site, state, station, stressors, tbt, u.s. caribbean, u.s. department of commerce, u.s. states and territories, united states of america, water quality, zoology
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
National Status and Trends: Bioeffects Program - Kachemak Bay Database

This study was based on the sediment quality triad (SQT) approach. A stratified probabilistic sampling design was utilized to characterize the Kachemak Bay system in terms of chemical contamination, sediment toxicity and benthic infaunal community structure. The purpose was to define the extent and magnitude of toxicity and other biological effects associated with contaminants in the Kachemak Bay system. Five strata (Homer harbor, Western intertidal, Western subtidal, Eastern intertidal, and Eastern subtidal) were established in the shallow (less than 10 fathoms) northern area of the bay.  Sediment samples were collected at multiple stations in each strata. A broad suite of sediment contaminants were analyzed at each station, including  polynuclear aromatic hydrocarbons (PAHs), chlorinated pesticides including DDT and its metabolites, polychlorinated biphenyls (PCBs), trace elements, and butyl-tins Other parameters included grain size analysis, total organic/inorganic carbon (TOC/TIC), and percent solids.  Characterization of infaunal assemblages and the abundance of organisms present in sediments provide additional information to help determine areas of degraded sediments. Whole sediment toxicity bioassays with two species of amphipod were conducted to test for overt contaminant toxicity. This project provides invaluable baseline data on sediment infauna species richness, chemical contamination and toxicity that is georeferenced and posted on the internet through the NOAA's National Status and Trends data portal.

Tags: alaska, amphipod, analytes, and restoration (simr), benthic, bioassay, bioeffects/toxicity, butyltins, chemical, chemical contaminants, coastal ocean, contaminants, date, doc/noaa/nos/nccos, environmental monitoring, estuary, field observation, geographic area, impacts, infauna, inorganic, kachemak bay, latitude, location, long-term monitoring, longitude, mitigation, monitoring, national centers for coastal ocean science, national ocean service, nccos research data type, nccos research location, nccos research priority, nccos research topic, noaa, nsandt, organic, organochlorines, pah, parameter, pcb, pesticides, polychlorinated biphenyls, polynuclear aromatic hydrocarbons, region, sediment, site, state, station, stressors, tbt, toxicity, u.s. department of commerce, u.s. states and territories
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
NOAA NCCOS Assessment: Agency priorities for mapping coral reef ecosystems in Hawaii, 2022-07-08 to 2022-08-01

NOAA's Coral Reef Conservation Program (CRCP) has identified a need for priority locations based on emerging management requirements in shallow coral reef areas (up to 40 meters) surrounding the main Hawaiian Islands. The priorities provided by participating agencies will inform research and monitoring activities, address current and future management needs, and maximize opportunities to leverage and complement existing regional efforts.

To meet this need, NOAAs National Centers for Coastal Ocean Science (NCCOS) developed a systematic, quantitative approach and online GIS application to gather seafloor mapping priorities from researchers and coral reef managers. Participants placed virtual coins into a grid overlaid on the project area to express the location of their mapping priorities. They also used pull-down menus to indicate specific mapping data needs and the rationale for their selections. Participants inputs were compiled and analyzed to identify high priority areas along with their justifications and requirements. A total of 17 participant groups entered their mapping priorities into the online tool. Identifying these high priority areas provide a critical spatial framework for prioritizing mapping efforts in shallow coral reef ecosystems in Hawaii.

Tags: bathymetry, biosphere, central pacific ocean, coastal, continent, corals, country/territory, derived data product, doc/noaa/nos/nccos, documents, earth science, ecological and biogeographic assessments, ecosystems, environmental assessments, environmental governance/management, geographic information, geospatial, habitat mapping, hawaii, hawaiian islands, human dimensions, mapping, marine ecosystems, marine managed areas, marine spatial ecology, national centers for coastal ocean science, national ocean service, nccos habitatâ mappingâ team, nccos research data type, nccos research location, nccos research priority, nccos research topic, noaa, north america, numeric data sets, observational report, ocean, ocean basin, pacific ocean, reef monitoring and assessment, region, socioeconomic, u.s. department of commerce, u.s. states and territories, united states of america, zoology
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
National Status and Trends: Bioeffects Program: Magnitude and Extent of Sediment Toxicity of South Carolina and Georgia

Surficial sediment samples were collected from 162 locations within five estuaries - Charleston Harbor, Winyah Bay, Leadenwah Creek, Savannah River, and St. Simons Sound - in coastal South Carolina and Georgia in a survey of sediment toxicity performed in 1993 and 1994.  All samples were tested for toxicity and a battery of complimentary laboratory bioassays. The laboratory bioassays consisted of amphipod survival tests in solid-phase sediments, microbial bioluminescence (Microtox) tests of organic solvent extracts, and sea urchin fertilization and embryo development tests of porewaters.  Some samples were also tested in copepod reproduction and cytochrome P-450 RGS bioassays.  Chemical analyses for a suite of trace metals, organic compounds and sedimentological factor were performed with portions of most samples.

Tags: amphipod, analytes, and restoration (simr), bioassay, bioeffects/toxicity, butyltins, charleston harbor, chemical, chemical contaminants, coastal ocean, contaminants, date, doc/noaa/nos/nccos, east coast, environmental monitoring, estuary, field observation, geographic area, georgia, impacts, inorganic, latitude, leadenwah creek, location, long-term monitoring, longitude, microtox, mitigation, monitoring, national centers for coastal ocean science, national ocean service, national status and trends, nccos research data type, nccos research location, nccos research priority, nccos research topic, noaa, nsandt, organic, organochlorines, p450 hrgs, pah, parameter, pcb, pesticides, polychlorinated biphenyls, polynuclear aromatic hydrocarbons, region, savannah river, sea urchin fertilization, sediment, site, south atlantic, south carolina, st. simons sound, state, station, stressors, toxicity, u.s. department of commerce, u.s. states and territories, winyah bay
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
National Status and Trends: Bioeffects Program - San Francisco Bay Database

This study was based on the sediment quality triad (SQT) approach. A stratified probabilistic sampling design was utilized to characterize the San Francisco Bay system in terms of chemical contamination, sediment toxicity (Microtox, amphipod bioassays; sea urchin gamete bioassay; and P450 biomarker) and benthic infaunal community structure. The purpose was to define the extent and magnitude of toxicity and other biological effects associated with contaminants in the San Francisco estuary system from the delta to the south Bay and out to the Golden Gate. This file contains data measured in the San Francisco Bay Estuary in 2000 and 2001. Samples were collected for water and sediment analyses.

Tags: amphipod, analytes, and restoration (simr), benthic, bioassay, bioeffects/toxicity, butyltins, california, chemical, chemical contaminants, coastal ocean, contaminants, date, doc/noaa/nos/nccos, environmental monitoring, estuary, field observation, geographic area, impacts, infauna, inorganic, latitude, location, long-term monitoring, longitude, microtox, mitigation, monitoring, national centers for coastal ocean science, national ocean service, nccos research data type, nccos research location, nccos research priority, nccos research topic, noaa, nsandt, organic, organochlorines, p450 human reporter gene system, pacific ocean, pah, parameter, pcb, pesticides, polychlorinated biphenyls, polynuclear aromatic hydrocarbons, region, san francisco bay, sea urchin fertilization, sediment, site, state, station, stressors, tbt, toxicity, u.s. department of commerce, u.s. states and territories, united states, west coast
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Data for Microbial community storm dynamics

Microbial DNA data and water stable isotope data used in the following paper:

URycki, D. R., Good, S. P., Crump, B. C., Ceperley, N., & Brooks, J. R. (2024). Microbial community storm dynamics signal sources of “old” stream water. Plos One, 19(9), e0306896. https://doi.org/10.1371/journal.pone.0306896. 

This dataset is associated with the following publication:
URycki, D., S. Good, B. Crump, N. Ceperley, and J.R. Brooks. Microbial community storm dynamics signal sources of “old” stream water.   PLOS ONE. Public Library of Science, San Francisco, CA, USA, 19(9): e0306896, (2024).

Tags: edna, hydrologic-tracers, pacific-northwest, river-flow, small-storm-hydrology, stable-isotope-ratios
Organization: U.S. Environmental Protection Agency
National Aquatic Resource Surveys National Lakes Assessment Data (2007, 2012, 2017) and LakeCat Watershed Data

The National Aquatic Resource Surveys National Lakes Assessment data contain lake conductivity information at lakes in the contiguous United States. The LakeCat data contain watershed metrics for lakes in the contiguous United States. 

This dataset is associated with the following publication:
Dumelle, M., J. Ver Hoef, A. Handler, R. Hill, M. Higham, and A. Olsen. Modeling lake conductivity in the contiguous United States using spatial indexing for big spatial data.   Spatial Statistics. Elsevier Ltd, Oxford,  UK, 59: 100808, (2024).

Tags: climate-change, correlation, national-lakes-assessment, prediction, salinization
Organization: U.S. Environmental Protection Agency
How vertical drainage positions of extensive green roofs affect the runoff control performance

The capacity of extensive green roofs (EGRs) in runoff reduction and pollutants control significantly decreased with increasing rainfall intensity. This is attributed to most of EGRs are the lower-drainage method and use a thinner substrate layer because of the structural load-bearing limits of buildings. Existing solutions depend on increasing the rainwater storage by thickening the substrate layer of EGRs, or replacing the substrate materials. We propose to enhance the water retention capacity of EGRs by adjusting vertical drainage positions and moving the lower-drainage at the bottom to upper-drainage over the substrate layer. To test the runoff control performance of EGRs with the upper-drainage method, we designed three EGR models with two different (upper- and lower-) drainage methods based on the common EGR’s structure in practice and carried out total 48 experiments under different rainfall intensities with an artificial rainfall simulator. The experimental design also included adjusting structural factors of the EGR to further explore the influences of roof slope, status of vegetation growth (height and canopy cover ratio), and model size. The average runoff retention rate for the upper-drainage EGR was 61.82 %, which was much higher than the 23.94 % for the lower-drainage EGR. The concentrations of TN and TP in runoff with the upper-drainage were 2.83 and 0.18 mg/L, which were much lower than the 8.47 and 2.10 mg/L for the lower-drainage EGR. EGRs with upper-drainage overall performed better in runoff control than EGRs with lower-drainage. Vegetation height and model size did not significantly affect the rainwater control performance for different drainage methods, while the change of slope affected the rainwater interception of the EGRs with upper-drainage method. This dataset is not publicly accessible because: non-EPA generated data. It can be accessed through the following means: Contact Dr. Xin Fu (fuxinuc@outlook.com). Format: non-EPA generated data. 

This dataset is associated with the following publication:
Cui, E., X. Fu, X. Yang, Q. Zhang, D. Duan, and M. Hopton. How vertical drainage positions of extensive green roofs affect the runoff control performance.   JOURNAL OF HYDROLOGY. Elsevier Science Ltd, New York, NY, USA, 642: 131855, (2024).

Tags: green-roofs, rainfall-simulator, runoff-quality
Organization: U.S. Environmental Protection Agency
Utility-Scale Solar, 2024 Edition: Analysis of Empirical Plant-level Data from U.S. Ground-mounted PV, PV+battery, and CSP Plants (exceeding 5 MWAC)

Berkeley Labs "Utility-Scale Solar", 2024 Edition presents analysis of empirical plant-level data from the U.S. fleet of ground-mounted photovoltaic (PV), PV+battery, and concentrating solar-thermal power (CSP) plants with capacities exceeding 5 MWAC. While focused on key developments in 2023, this report explores trends in deployment, technology, capital and operating costs, capacity factors, the levelized cost of solar energy (LCOE), power purchase agreement (PPA) prices, wholesale market value, net value, and interconnection queue data.

Tags: analysis, battery, berkeley-lab, capacity, capacity-factors, capital-costs, csp, data, energy, generation, ground-mounted, hourly, hourly-generation, interconnection-queue, lcoe, market, market-analysis, market-value, operating-costs, photovoltaic, plant-level, plant-level-data, power, power-purchase-agreement, power-purchase-agreements, ppa, pv, solar, solar-energy, solar-power, utility-scale, utility-scale-solar, wholesale-market-value
Organization: Department of Energy
Data for "Marginal Inference for Hierarchical Generalized Linear Mixed Models with Patterned Covariance Matrices Using the Laplace Approximation"

These data contain several publicly-available data sets that are used to elucidate the methods in the paper, including data on seal counts in Alaska, county-aggregated demographic data, and heavy metal data in Alaska. 

This dataset is associated with the following publication:
Ver Hoef, J., E. Blagg, M. Dumelle, P. Dixon, D. Zimmerman, and P. Conn. Marginal Inference for Hierarchical Generalized Linear Mixed Models with Patterned Covariance Matrices Using the Laplace Approximation.   ENVIRONMETRICS. John Wiley & Sons Incorporated, New York, NY, USA, 35(7): e2872, (2024).

Tags: correlation, generalized-linear-model, mixed-model, spatial-model, statistsics
Organization: U.S. Environmental Protection Agency
Herbicide Drift and Native Plant Reproduction

The main date set indicates the flowering response of native plant species treated with herbicides dicamba and glyphosate in field plots.  It includes the notes taken in the field, conversion of notes to a quantitative measure of flowering, and comments for 9 species at two farms on 13 observation times, for 8 replicate plots per species, farm and observation time.  The data sets also include information concerning QA for herbicide treatments and repeated measures of flowering. 

This dataset is associated with the following publication:
Olszyk, D., T. Pfleeger, T. Shiroyama, M. Blakeley-Smith, E. Lee, M. Nash, and M. Plocher. Simulated Herbicide Drift Alters Native Plant Flowering Phenology.   Ecotoxicology. Springer, New York, NY, USA,  024-02795-3, (2024).

Tags: dicamba, ecotoxicology, glyphosate, herbicide, non-target-plants
Organization: U.S. Environmental Protection Agency
Comprehensive compilation of congener profiles to support health assessment of environmental exposures to polychlorinated biphenyl mixtures

This data supports the journal publication "Comprehensive compilation of congener profiles to support health assessment of environmental exposures to polychlorinated biphenyl mixtures" which identifies and extracts published congener profiles across 29 commercial and simulated environmental PCB mixtures, including various Aroclors, Phenoclors, Clophens, and Kanechlors, among others. This work represents the most extensive effort to date to compile and make publicly available the PCB congener profiles for mixtures with toxicological data, providing a foundation for understanding toxicological potency of PCB mixtures in the environment. 

This dataset is associated with the following publication:
Schulz, B., L. Carlson, K. Christensen, C. Weitekamp, R. Marek, A. Martinez, K. Hornbuckle, and G. Lehmann. Comprehensive compilation of congener profiles to support health assessment of environmental exposures to polychlorinated biphenyl mixtures.   ENVIRONMENTAL RESEARCH. Elsevier B.V., Amsterdam,  NETHERLANDS, 263(Part 1): 120081, (2024).

Tags: aroclor, chemical-mixtures, congener, pcbs
Organization: U.S. Environmental Protection Agency
Real Property Tax - 2024

This data represents all of the County’s residential real estate properties and all of the associated tax charges and credits with that property processed at the annual billing in July of each year, excluding any subsequent billing additions and/or revisions throughout the year. This dataset excludes the names of the property owners. The addresses in this database represent the address of the property. For more information about the individual taxes and credits, please go to http://www.montgomerycountymd.gov/finance/taxes/faqs.html#credit.
Update Frequency: Updated Annually in July

Tags: 2024, bill, credits, finance, levy-year, property, real, residential, tax
Organization: Montgomery County of Maryland
Raw data underlying JGLR 2024 journal article concerning aquatic invertebrate composition at APIS 2017 and ISRO 2012within Lake Superior.

The two excel files provide zooplankton and benthic macroinvertebrate data, respectively, underlying the publication.  The data consist of sample by taxa matrices for Isle Royale in 2012, Apostle Islands in 2017, Lake Superior CSMI in 2016, and Lake Superior NCCA in 2015. 

This dataset is associated with the following publication:
Trebitz, A., G. Shepard, C. Meredith, G. Peterson, and J. Hoffman. Aquatic invertebrate diversity in Apostle Islands and Isle Royale waters: Comparison among habitats and sampling gears and to open Lake Superior.   JOURNAL OF GREAT LAKES RESEARCH. International Association for Great Lakes Research, Ann Arbor, MI, USA, 50(5): 102406, (2024).

Tags: benthic-littoral-invertebrates, biodiversity, multi-gear-surveys, national-parks, zooplankton
Organization: U.S. Environmental Protection Agency
National Transmission Planning Study - Long-Term Modeling Results

The National Transmission Planning Study (NTP Study) analyzed the transformation needed to ensure the U.S. transmission system continues to reliably meet electricity demand as the power sector evolves. The study linked several long- and short-term power systems models to test numerous interregional and regional transmission buildout scenarios. The results included in this dataset are from the long-term capacity expansion modeling, completed with NREL's ReEDS model. This includes nearly 100 future transmission scenarios with a wide range of economic, reliability, and resilience conditions. The dataset includes all the results visualized in the Tableau Public site, as linked below. 

Tags: capacity, capacity-expansion, computational-science, demand, energy, expansion, grid, long-term, model, ntp, planning, power, reeds, regional-energy-deployment-system, scenarios, transmission, u-s
Organization: Department of Energy
National Climate Database (NCDB)

The National Climate Database (NCDB) is a high resolution, bias-corrected climate dataset consisting of the three most widely used variables of solar radiation- global horizontal (GHI), direct normal (DNI), and diffuse horizontal irradiance (DHI)- as well as other meteorological data. The goal of the NCDB is to provide unbiased high temporal and spatial resolution climate data needed for renewable energy modeling. 

The NCDB is modeled using a statistical downscaling approach with Regional Climate Model (RCM)-based climate projections obtained from the North American Coordinated Regional Climate Downscaling Experiment (NA-CORDEX; linked below). Daily climate projections simulated by the Canadian Regional Climate Model 4 (CanRCM4) forced by the second-generation Canadian Earth System Model (CanESM2) for two Representative Concentration Pathways (RCP4.5 or moderate emissions scenario and RCP8.5 or highest baseline emission scenario) are selected as inputs to the statistical downscaling models. The National Solar Radiation Database (NSRDB) is used to build and calibrate statistical models.

Tags: climate, climate-scenarios, code, conus, data, dataset, dhi, dni, downscaling, emissions, energy, ghi, high-resolution, meteorology, model, ncdb, power, python, rcp, solar, solar-energy, solar-resource, statistical-downscaling, temperature, wind
Organization: Department of Energy