AndreaBozzo/ceres-open-data-index huggingface dataset:
2015 Cartographic Boundary File, State-Alaska Native Regional Corporation for Alaska, 1:500,000

The 2015 cartographic boundary shapefiles are simplified representations of selected geographic areas from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). These boundary files are specifically designed for small-scale thematic mapping. When possible, generalization is performed with the intent to maintain the hierarchical relationships among geographies and to maintain the alignment of geographies within a file set for a given year. Geographic areas may not align with the same areas from another year. Some geographies are available as nation-based files while others are available only as state-based files.

Alaska Native Regional Corporations (ANRCs) were created pursuant to the Alaska Native Claims Settlement Act (ANCSA), which is federal legislation (Pub. L. 92-203, 85 Stat. 688 (1971);
43 U.S.C. 1602 et seq. (2000)) enacted in 1971, as a "Regional Corporation" and organized under the laws of the State of Alaska to conduct both the for-profit and non-profit affairs of Alaska Natives within a defined region of Alaska.  For the Census Bureau, ANRCs are considered legal geographic entities.  Twelve ANRCs cover the entire state of Alaska except for the area within the Annette Island Reserve (a federally recognized American Indian reservation under the governmental authority of the Metlakatla Indian Community).  A thirteenth ANRC represents Alaska Natives who do not live in Alaska and do not identify with any of the twelve corporations.  The Census Bureau does not provide data for this thirteenth ANRC because it has no defined geographic extent and thus it does not appear in the Cartographic Boundary Files.  The Census Bureau offers representatives of the twelve non-profit ANRCs in Alaska the opportunity to review and update the ANRC boundaries before each decennial census.

Tags: 2015, ak, alaska, alaska native regional corporation, anrc, boundaries, cartographic boundary, generalized, shp, state
Organization: U.S. Census Bureau, Department of Commerce
H12865: NOS Hydrographic Survey , 2016-06-11

The National Oceanic and Atmospheric Administration (NOAA) has the statutory mandate to collect hydrographic data in support of nautical chart compilation for safe navigation and to provide background data for engineers, scientific, and other commercial and industrial activities. Hydrographic survey data primarily consist of water depths, but may also include features (e.g. rocks, wrecks), navigation aids, shoreline identification, and bottom type information.
							NOAA is responsible for archiving and distributing the source data as described in this metadata record.

Tags: acoustic sounders, alaska, bathymetry, bathymetry/seafloor topography, continent, doc/noaa/nesdis/ncei, doc/noaa/nesdis/ngdc, earth remote sensing instruments, earth science, global positioning system/inertial measurement unit, gps, gps receivers, gps/imu, hydrographic surveys for selected locations within the united states (hydro_bathy_2006), in situ ocean-based platforms, in situ/laboratory instruments, marine sediments, mbes, msbs, multibeam mapping system, multibeam swath bathymetry system, national centers for environmental information, national geophysical data center, nesdis, noaa, north america, ocean, oceans, passive remote sensing, positioning/navigation, profilers/sounders, seafloor topography, sediment composition, ships, sonar, sound navigation and ranging, u.s. department of commerce, united states of america, vicinity of nichols islands, water depth, west of prince of wales island
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
H12916: NOS Hydrographic Survey , 2016-06-30

The National Oceanic and Atmospheric Administration (NOAA) has the statutory mandate to collect hydrographic data in support of nautical chart compilation for safe navigation and to provide background data for engineers, scientific, and other commercial and industrial activities. Hydrographic survey data primarily consist of water depths, but may also include features (e.g. rocks, wrecks), navigation aids, shoreline identification, and bottom type information.
							NOAA is responsible for archiving and distributing the source data as described in this metadata record.

Tags: acoustic sounders, ak, alaska, bathymetry, bathymetry/seafloor topography, continent, doc/noaa/nesdis/ncei, doc/noaa/nesdis/ngdc, earth remote sensing instruments, earth science, global positioning system/inertial measurement unit, gps, gps receivers, gps/imu, hydrographic surveys for selected locations within the united states (hydro_bathy_2006), in situ ocean-based platforms, in situ/laboratory instruments, marine sediments, mbes, mesa rocks, msbs, multibeam mapping system, multibeam swath bathymetry system, national centers for environmental information, national geophysical data center, nesdis, noaa, north america, north coast of kodiak island, ocean, oceans, passive remote sensing, positioning/navigation, profilers/sounders, seafloor topography, sediment composition, ships, sonar, sound navigation and ranging, u.s. department of commerce, united states of america, water depth
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
H12881: NOS Hydrographic Survey , 2016-06-15

The National Oceanic and Atmospheric Administration (NOAA) has the statutory mandate to collect hydrographic data in support of nautical chart compilation for safe navigation and to provide background data for engineers, scientific, and other commercial and industrial activities. Hydrographic survey data primarily consist of water depths, but may also include features (e.g. rocks, wrecks), navigation aids, shoreline identification, and bottom type information.
							NOAA is responsible for archiving and distributing the source data as described in this metadata record.

Tags: acoustic sounders, alaska, bathymetry, bathymetry/seafloor topography, continent, doc/noaa/nesdis/ncei, doc/noaa/nesdis/ngdc, earth remote sensing instruments, earth science, global positioning system/inertial measurement unit, gps, gps receivers, gps/imu, hydrographic surveys for selected locations within the united states (hydro_bathy_2006), in situ ocean-based platforms, in situ/laboratory instruments, marine sediments, mbes, msbs, multibeam mapping system, multibeam swath bathymetry system, national centers for environmental information, national geophysical data center, nesdis, noaa, north america, ocean, oceans, passive remote sensing, positioning/navigation, profilers/sounders, seafloor topography, sediment composition, ships, sonar, sound navigation and ranging, u.s. department of commerce, united states of america, vicinity of mcfarland islands, water depth, west of prince of wales island
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
H12848: NOS Hydrographic Survey , 2016-06-29

The National Oceanic and Atmospheric Administration (NOAA) has the statutory mandate to collect hydrographic data in support of nautical chart compilation for safe navigation and to provide background data for engineers, scientific, and other commercial and industrial activities. Hydrographic survey data primarily consist of water depths, but may also include features (e.g. rocks, wrecks), navigation aids, shoreline identification, and bottom type information.
							NOAA is responsible for archiving and distributing the source data as described in this metadata record.

Tags: acoustic sounders, alaska, bathymetry, bathymetry/seafloor topography, continent, doc/noaa/nesdis/ncei, doc/noaa/nesdis/ngdc, earth remote sensing instruments, earth science, global positioning system/inertial measurement unit, gps, gps receivers, gps/imu, hydrographic surveys for selected locations within the united states (hydro_bathy_2006), in situ ocean-based platforms, in situ/laboratory instruments, marine sediments, mbes, msbs, multibeam mapping system, multibeam swath bathymetry system, national centers for environmental information, national geophysical data center, nesdis, noaa, north america, north coast of kodiak, ocean, oceans, passive remote sensing, positioning/navigation, profilers/sounders, seafloor topography, sediment composition, ships, sonar, sound navigation and ranging, u.s. department of commerce, uganik passage, united states of america, water depth
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
H12919: NOS Hydrographic Survey , 2016-06-30

The National Oceanic and Atmospheric Administration (NOAA) has the statutory mandate to collect hydrographic data in support of nautical chart compilation for safe navigation and to provide background data for engineers, scientific, and other commercial and industrial activities. Hydrographic survey data primarily consist of water depths, but may also include features (e.g. rocks, wrecks), navigation aids, shoreline identification, and bottom type information.
							NOAA is responsible for archiving and distributing the source data as described in this metadata record.

Tags: acoustic sounders, alaska, bathymetry, bathymetry/seafloor topography, continent, doc/noaa/nesdis/ncei, doc/noaa/nesdis/ngdc, earth remote sensing instruments, earth science, global positioning system/inertial measurement unit, gps, gps receivers, gps/imu, hydrographic surveys for selected locations within the united states (hydro_bathy_2006), in situ ocean-based platforms, in situ/laboratory instruments, marine sediments, mbes, msbs, multibeam mapping system, multibeam swath bathymetry system, national centers for environmental information, national geophysical data center, nesdis, noaa, north america, north coast of kodiak island, ocean, oceans, passive remote sensing, positioning/navigation, profilers/sounders, seafloor topography, sediment composition, ships, sonar, sound navigation and ranging, u.s. department of commerce, uganik, united states of america, water depth
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Carbaryl and PWC example data used in Pollesch et al. "Developing Integral Projection Models for Aquatic Ecotoxicology"

The dataset provides growth and toxicokinetic parameters for the simulations presented in the manuscript by Pollesch et al. Developing Integral Projection Models for Aquatic Ecotoxicology. 

This dataset is associated with the following publication:
Pollesch, N., K. Flynn, S. Kadlec, J. Swintek, S. Raimondo, and M. Etterson. Developing integral projection models for ecotoxicology.   ECOLOGICAL MODELLING. Elsevier Science BV, Amsterdam,  NETHERLANDS, 464: 109813, (2022).

Tags: pesticides, pimephales-promelas, population-model
Organization: U.S. Environmental Protection Agency
nkbdump2020Nov12

This is a dump file of the NaKnowBase - an SQL based relational database containing curated data from EPA's Office of Research and Development related to the environmental effects of engineered nanomaterials. 

This dataset is associated with the following publication:
Boyes, W., B. Beach, L. Thornton, P. Harten, H. Mortensen, and G. Chan. An EPA database on the effects of engineered nanomaterials - NaKnowBase (from the US EPA Office of Research and Development).   Scientific Data. Springer Nature Group, New York, NY,  9(12): 1, (2022).

Tags: database, engineered-nanomaterials
Organization: U.S. Environmental Protection Agency
Modeling PFAS Removal Using Granular Activated Carbon for Full-Scale System Design

This dataset consists of example model outputs for PFAS removal by GAC. Explicit descriptions of the data can be found in the associated manuscript. 

This dataset is associated with the following publication:
Burkhardt, J., N. Burns, D. Mobley, J. Pressman, M. Magnuson, and T. Speth. Modeling PFAS Removal Using Granular Activated Carbon for Full-Scale System Design.   JOURNAL OF ENVIRONMENTAL ENGINEERING. American Society of Civil Engineers  (ASCE), Reston, VA, USA, 148(3): 04021086-1, (2022).

Tags: computational-modeling, drinking-water-treatment, pfas
Organization: U.S. Environmental Protection Agency
Supply Chain GHG Emission Factors for US Commodities and Industries v1.1

Tables presenting supply chain and margin emission factors and data quality scores for US commodities and industries calculated from USEEIO models at two levels of commodity/industry categorization, detail and summary, for both industries and commodity, and annually from 2010-2016. These factors were produced with useeior v1.0.1. See the EPA report for full details on emission factor preparation. 

This dataset is associated with the following publication:
Ingwersen, W., and M. Li. Supply Chain Greenhouse Gas Emission Factors for US Industries and Commodities. U.S. Environmental Protection Agency, Washington, DC, USA, 2020.

Tags: life-cycle-ghg-emissions, life-cycle-models, scope-3, us-industry-ghgs, useeio
Organization: U.S. Environmental Protection Agency
Referenced Data Pertaining to Improving the representation of HONO chemistry in CMAQ and examining its impact on haze over China

Contact: Jia XIng, School of Environment, State Key Joint Laboratory of Environment Simulation and Pollution Control, Tsinghua University, Beijing 100084, China. This dataset is not publicly accessible because: Model simulations were performed at Tsinghua University, China. EPA does not have any data associated with the article. It can be accessed through the following means: Contact: Jia Xing, Tsinghua University, email: xingjia@mail.tsinghua.edu.cn. Format: Model simulations were performed at Tsinghua University, China. EPA does not have any data associated with the article. 

This dataset is associated with the following publication:
Zhang, S., G. Sarwar, J. Xing, B. Chu, C. Xue, A. Sarav, D. Ding, H. Zheng, Y. Mu, F. Duan, T. Ma, and H. He. Improving the representation of HONO chemistry in CMAQ and examining its impact on haze over China.   Atmospheric Chemistry and Physics. Copernicus Publications, Katlenburg-Lindau,  GERMANY, 21(20): 15809-15826, (2021).

Tags: hydroxyl-radical, nitrate, nitrous-acid, sulfate
Organization: U.S. Environmental Protection Agency
Survey of Selmun promontory, northern Malta, 2021

These data were collected with a DJI Phantom 4 Pro over the Selmun promontory which is located along the north-eastern coast of Malta, central Mediterranean.
In this area, the evident cliff retreat is linked to landslide processes involving the outcropping geological succession, characterized by the over position of stiff limestones on ductile clays. Such an instability process consists of a lateral spreading associated with toppling and fall of different-size rock blocks. Starting from the 3D model obtained from the UAV-photogrammetry, a digital geological-structural survey was performed in which have been identified the spatial geometry of the fractures that characterize the area of the Selmun promontory by measuring strike, dip and dip direction of the fractures with semi-automatic digital tools.
The data were produced as part of the doctoral thesis of Dr Emanuele Colica and in support of the European project Interreg V-A Italy-Malta NEWS (Nearshore hazard monitoring and Early Warning System). 

Organization: OpenTopography
Hydrologic Effects of Forest Restoration, WA 2021

This lidar dataset was collected as part of an NCALM Seed grant for Cassie Lumbrazo at the University of Washington. This study used airborne lidar to evaluate the hydrologic effects of forest restoration in Washington States Eastern Cascade Mountains. The study area consists of sections located northwest of Ellensburg, WA,  and covers approximately 62.7 km2.

Organization: OpenTopography
Hawke's Bay, New Zealand 2020

LiDAR was captured for the 5 Hawke's Bay Councils (Wairoa District Council, Hastings District Council, Napier City Council, Central Hawke's Bay District Council and Hawke's Bay Regional Council) and the project managed by the Regional Council. The dataset was generated by iXblue and their subcontractors. The survey area includes Napier, Hastings, Wairoa, Waipawa, Waipukurau, M&#257;hia and the surrounding area. Data management and distribution is by Toit&#363; Te Whenua Land Information New Zealand.

Organization: OpenTopography
The Dynamicity of Acute Ozone-Induced Systemic Leukocyte Trafficking and Adrenal-Derived Stress Hormones

Ozone exposure induces neuroendocrine stress response, which causes lymphopenia. We hypothesized that ozone-induced increases in stress hormones will temporally follow changes in circulating granulocytes, monocytes and lymphocyte subpopulations. The goal of this study was to chronicle the changes in circulating stress hormones, cytokines, and leukocyte trafficking during 4-hour exposure to ozone. Male Wistar Kyoto rats were exposed to air or ozone (0.4 or 0.8 ppm) for 0.5, 1, 2, or 4 hours. After each time point, we assessed, circulating stress hormones and cytokines, lung gene expression, and live and apoptotic granulocytes, monocytes (classical and non-classical), and lymphocytes (B, Th and Tc) in blood, thymus and spleen using flow cytometry. 

This dataset is associated with the following publication:
Henriquez, A., W. Williams, S. Snow, M.C. Schladweiler, C. Fisher, M. Hargrove, D. Alewel, C. Colonna, S. Gavett, C. Miller, and U. Kodavanti. The Dynamicity of Acute Ozone-Induced Systemic Leukocyte Trafficking and Adrenal-Derived Stress Hormones.   TOXICOLOGY. Elsevier Science Ltd, New York, NY, USA, 458(152823): 1, (2021).

Tags: circulating-lymphocytes, classical-monocytes, immune-response, inhaled-pollutants, lung, neuroendocrine, stress-hormones
Organization: U.S. Environmental Protection Agency
Augustine, S. (2021). Multiplex Salivary Antibodies Found in Iowa Recreational Riverine Beach Study Participants Dataset.

The data contained in this worksheet provides the Median Fluorescence Intensity (MFI) values produced by applying the bead-based multiplex immunoassay to saliva samples serially collected during the Buffalo Shores Beach, Iowa study.  MFI data was analyzed to assess exposure patterns to multiple pathogens.  In the study, we collected an initial sample (S1) at the beach and the remaining samples (S2 and S3) were self-collected by participants 10 -14 and 30 - 40 days later, respectively. Portions of this dataset are inaccessible because: The data can be included in ScienceHub. They can be accessed through the following means: Data made available online. Format: The data contained in this Excel worksheet provides the Median Fluorescence Intensity (MFI) values produced by applying the bead-based multiplex immunoassay to saliva samples serially collected during the Buffalo Shores Beach, Iowa study.  MFI data was analyzed to assess exposure patterns to multiple pathogens.  In the study, we collected an initial sample (S1) at the beach and the remaining samples (S2 and S3) were self-collected by participants 10 -14 and 30 - 40 days later, respectively. 

This dataset is associated with the following publication:
Augustine, S., T. Eason, T. Wade, S. Griffin, E. Sams, K. Simmons, M. Ramudit, K. Oshima, and A. Dufour. Salivary Antibodies against Multiple Environmental Pathogens Found in Individuals Recreating at an Iowa Beach.   International Journal of Environmental Research and Public Health. Molecular Diversity Preservation International, Basel,  SWITZERLAND, 18(11): 5797, (2021).

Tags: asymptomatic-infections, chemokines, coinfections, cytokines, environmental-exposures, immunoconversions, immunoprevalence, multiplex-immunoassay, public-health-surviellance, rapid-antibody-screening-tools, saliva, salivary-antibodies, waterborne-infection, waterborne-pathogens
Organization: U.S. Environmental Protection Agency
Generalised Read-Across Prediction using genra-py

Read-across (RAX) is a widely used data gap filling approach and the authors have developed a data-driven tool, called GenRA, to support expert-driven RAX. This work describes a stand-alone Python 3 package, called genra-py, which enables end-users to conduct hazard identification and point of departure (POD) estimation using GenRA. 

This dataset is associated with the following publication:
Shah, I., T. Tate, and G. Patlewicz. Generalised Read-Across Prediction using genra-py.   BIOINFORMATICS. Oxford University Press, Cary, NC, USA, 37(19): 3380-3381, (2021).

Tags: chemical-safety-research, curated-data, models, pharmacokinetics
Organization: U.S. Environmental Protection Agency
Main data files

Main dataset of stable isotope, analytes, and environmental parameters measured. 

This dataset is associated with the following publication:
Devereux, R., Y. Wan, J.L. Rackley, V. Fasselt, and D. Vivian. Comparative analysis of nitrogen concentrations and sources within a coastal urban bayou watershed: A multi-tracer approach.   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 776: 145862, (2021).

Tags: nitrogen, nitrogen-pollution, septic-system, sewage-tracer, stable-isotopes, urban-streams
Organization: U.S. Environmental Protection Agency
Consumer-oriented phosphorus and nitrogen footprints for the U.S.

The P footprint approach described here emulates the N footprint approach described by Leach et al (2012), with updated (circa 2013-2015 ) values for N from Leach et al (submitted). The N footprint is defined as the N release associated with food and energy consumption, where food consumption is comprised of emissions associated with the food production chain and the treatment of human excreta after consumption. Here we focus both N and P footprints only on agricultural production, food processing, food waste, and sewage components (herein collectively the ‘food footprint’) .

Leach A M, Galloway J N, Bleeker A, Erisman J W, Kohn R and Kitzes J 2012 A nitrogen footprint model to help consumers understand their role in nitrogen losses to the environment Environmental Development 1 40–66. 

This dataset is associated with the following publication:
Metson, G., G. MacDonald, A. Leach, J. Compton, J. Harrison, and J. Galloway. The U.S. consumer phosphorus footprint: where do nitrogen and phosphorus diverge?.   Environmental Research Letters. IOP Publishing LIMITED, Bristol,  UK, 15: 105022, (2020).

Tags: algal-blooms, environmental-footprint, legacies, nutrients, phosphorus, water-quality
Organization: U.S. Environmental Protection Agency
A spatially explicit, empirical estimate of biological nitrogen fixation in forests of the United States

The supplementary information provides details on the methods used to find the basal area-BNF rate regression, the specific literature that was used to derive both these regressions and the %Ndfa for different genera. The text describes further methods used to compare previous global estimates of BNF to the conterminous US scale and to examine the relevance of P. contorta as an additional source of N. 

This dataset is associated with the following publication:
Staccone, A., W. Liao, S. Perakis, J. Compton, C. Clark, and D. Menge. A spatially explicit, empirical estimate of tree-based biological nitrogen fixation in forests of the United States.   Global Biogeochemical Cycles. American Geophysical Union, Washington, DC, USA, 42(2): e2019GB006241, (2020).

Tags: monitoring, n-inputs, nitrogen, rivers, streams, watersheds
Organization: U.S. Environmental Protection Agency