AndreaBozzo/ceres-open-data-index huggingface dataset:
2018 Orthoimagery Bronx

The Department of Information Technology and Telecommunications, GIS Unit, is providing the raw orthoimagery for download. This orthoimagery is used to create the Aerial Photography Tile Layer services described in further detail here: https://maps.nyc.gov/tiles/. Full metadata on the Aerial & Orthoimagery can be found at: https://github.com/CityOfNewYork/nyc-geo-metadata/blob/master/Metadata/Metadata_AerialImagery.md

Organization: City of New York
2018 Orthoimagery Brooklyn

The Department of Information Technology and Telecommunications, GIS Unit, is providing the raw orthoimagery for download. This orthoimagery is used to create the Aerial Photography Tile Layer services described in further detail here: https://maps.nyc.gov/tiles/. Full metadata on the Aerial & Orthoimagery can be found at: https://github.com/CityOfNewYork/nyc-geo-metadata/blob/master/Metadata/Metadata_AerialImagery.md

Organization: City of New York
2018 Orthoimagery Manhattan

The Department of Information Technology and Telecommunications, GIS Unit, is providing the raw orthoimagery for download. This orthoimagery is used to create the Aerial Photography Tile Layer services described in further detail here: https://maps.nyc.gov/tiles/. Full metadata on the Aerial & Orthoimagery can be found at: https://github.com/CityOfNewYork/nyc-geo-metadata/blob/master/Metadata/Metadata_AerialImagery.md

Organization: City of New York
2018 Orthoimagery Queens

The Department of Information Technology and Telecommunications, GIS Unit, is providing the raw orthoimagery for download. This orthoimagery is used to create the Aerial Photography Tile Layer services described in further detail here: https://maps.nyc.gov/tiles/. Full metadata on the Aerial & Orthoimagery can be found at: https://github.com/CityOfNewYork/nyc-geo-metadata/blob/master/Metadata/Metadata_AerialImagery.md

Organization: City of New York
Morphodynamics of an Unvegetated Meandering River, NV 2021

This lidar dataset was collected as part of an NCALM Seed grant for Michael Hasson at  Stanford University. This dataset was collected to help analyze morphodynamics of an unvegetated meandering river in  the McLeod Springs Wash in Nevada. The study area is located north of Tonopah, Nevada and covers approximately 53 km2.

Organization: OpenTopography
Continental Europe Digital Terrain Model

This Digital Terrain Model (DTM) for Continental Europe was derived using Ensemble Machine Learning (EML) with publicly available Digital Surface Models. EML was trained using GEDI level 2B points (Level 2A; "elev_lowestmode") and ICESat-2 (ATL08; "h_te_mean"). About 9 million points were overlaid vs MERITDEM, AW3D30, GLO-30, EU DEM, GLAD canopy height, tree cover and surface water cover maps. An ensemble prediction model (mlr package in R) was fitted using random forest, Cubist and GLM, and used to predict the most probable terrain height (bare earth).  The predicted elevations are based on the GEDI data hence the reference water surface (WGS84 ellipsoid) is about 43 m higher than the sea water surface for a specific EU country. Before modeling, reference elevations were corrected to the Earth Gravitational Model 2008 (EGM2008) by using the 5-arcdegree resolution correction surface (Pavlis et al, 2012).    Details on the work to create this dataset can be found here: Hengl, Tomislav, Leal Parente, Leandro, Krizan, Josip, and Bonannella, Carmelo. 2020. "Continental Europe Digital Terrain Model at 30 M Resolution Based on GEDI, Icesat-2, AW3D, GLO-30, EUDEM, MERIT DEM and Background Layers." Zenodo. https://doi.org/10.5281/zenodo.4724549.   European Digital Terrain Models (EU DTM)    NOTE:This dataset has been converted from its original units of decimeters to meters to aid comparisons with other datasets in the OpenTopography catalog.

Organization: OpenTopography
Data for the Community Regional Atmospheric Chemistry Multiphase Mechanism (CRACMM) version 1.0

Supporting data for CRACMMv1, including the SPECIATE database mapped to CRACMM, input to the Speciation Tool, profile files output from Speciation Tool for input to SMOKE, python code for mapping species to CRACMM, chemical mechanism, and mechanism metadata is available at https://github.com/USEPA/CRACMM. Specific analyses and scripts used in the manuscript "Linking gas, particulate, and toxic endpoints to air emissions in the Community Regional Atmospheric Chemistry Multiphase Mechanism (CRACMM) version 1.0" such as the 2017 U.S. species-level inventory and code for figures is available here.

Tags: air-quality, cmaq, cracmm, hazardous-air-pollutants-haps, nitrogen-and-co-pollutants, ozone, secondary-organic-aerosol-soa
Organization: U.S. Environmental Protection Agency
Bitter Creek Analysis Pedigree Data

These data sets contain raw and processed data used in for analyses, figures, and tables in the Region 8 Memo: Characterization of chloride and conductivity levels in the Bitter Creek Watershed, WY. However, these data may be used for other analyses alone or in combination with other or new data. These data were used to assess whether chloride levels are naturally high in streams in the Bitter Creek, WY watershed and how chloride concentrations expected to protect 95 percent of aquatic genera in these streams compare to Wyoming’s chloride criteria applicable to the Bitter Creek watershed. Owing to the arid conditions, background conductivity and chloride levels were characterized for surface flow and ground water flow conditions. Natural chloride levels were found to be less than current water quality criteria for Wyoming.  Although the report was prepared for USEPA Region 8 and OST, Office of Water, the report will be of interest to the WDEQ, Sweetwater County Conservation District, and the regulated community.
No formal metadata standard was used.
Pedigree.xlsx contains:
1.	NOTES:	Description of work and other worksheets.
2.	Pedigree_Summary: Source files used to create figures and tables.	
3.	DataFiles: Data files used in the R code for creating the figures and tables
4.	R_Script: Summary of the R scripts. 
5.	DataDictionary:	Data file titles in all data files	
Folders:
_Datasets	Data file uploaded to Environmental Dataset Gateway
	"A list of subfolders:
_R:	Clean R scripts used to generate document figures and tables
_Tables_Figures:	Files generated from R script and used in the Region 6 memo
R Code and Data:	All additional files used for this project, including original files, 
	intermediate files, extra output files, and extra functions
	the ""_R"" folder stores R scripts for input and output files and an R project file..
Users can open the R project and run R scripts directly from the ""_R"" folder or the XC95 folder by installing R, RStudio, and associated R packages."




Tags: background-estimate, bitter-creek, chloride, conductivity, energy-extraction, groundwater, surface-water
Organization: U.S. Environmental Protection Agency
2018 Orthoimagery Staten Island

The Department of Information Technology and Telecommunications, GIS Unit, is providing the raw orthoimagery for download. This orthoimagery is used to create the Aerial Photography Tile Layer services described in further detail here: https://maps.nyc.gov/tiles/. Full metadata on the Aerial & Orthoimagery can be found at: https://github.com/CityOfNewYork/nyc-geo-metadata/blob/master/Metadata/Metadata_AerialImagery.md

Organization: City of New York
MagnusonMatthew_A-4xh9_dataset_20210126.xlsx

Data corresponding to graphs in paper. 

This dataset is associated with the following publication:
Hepler, K., M. Kaminski, E. VanderZee, C. VanGroningen, and M. Magnuson. Logistics Simulation of a Remediation Effort for a Hypothetical Radiological Contamination Scenario.   JOURNAL OF ENVIRONMENTAL RADIOACTIVITY. Elsevier Science Ltd, New York, NY, USA, 255: 107017, (2022).

Tags: cesium, decontamination, dirty-bomb, iwaters, radiological, waste-water
Organization: U.S. Environmental Protection Agency
Data for LeDuc et al.. Nitrogen and sulfur deposition reductions projected to partially restore forest soil conditions in the US Northeast, while understory composition continues to shift with future climate change

This dataset is for the publication of Nitrogen and sulfur deposition reductions projected to partially restore forest soil conditions in the US Northeast, while understory composition continues to shift with future climate change. Manuscript is intended for the the journal of Water, Air, & Soil Pollution. 

This dataset is associated with the following publication:
Leduc, S., C. Clark, J. Phelan, S. Belyazid, M. Bennett, K. Boaggio, J. Buckley, J. Cajka, and P. Jones. Nitrogen and Sulfur Deposition Reductions Projected to Partially Restore Forest Soil Conditions in the US Northeast, While Understory Composition Continues to Shift with Future Climate Change.   WATER, AIR, & SOIL POLLUTION. Springer, New York, NY, USA, 233(376): 1-26, (2022).

Tags: acid-deposition, atmospheric-nitrogen, biodiversity, climate-change, forests
Organization: U.S. Environmental Protection Agency
H12351: NOS Hydrographic Survey , Approaches to Kotzebue Sound, Alaska, 2011-08-27

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: 15 nautical miles west of kotzebue harbor, 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, kotzebue sound, 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, water depth
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
H12350: NOS Hydrographic Survey , Approaches to Kotzebue Sound, Alaska, 2011-08-31

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: 9 nautical miles west of cape blossom, 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, kotzebue sound, 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, water depth
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
H12349: NOS Hydrographic Survey , Approaches to Kotzebue Sound, Alaska, 2011-08-29

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, approaches to kotzebue harbor, 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, kotzebue sound, 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, water depth
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
H12327: NOS Hydrographic Survey , Approaches to Kuskokwim River, Alaska, 2011-09-16

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: 8 nautical miles west of kanektok river, acoustic sounders, alaska, approaches to kuskokwim river, 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, water depth
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Corresponding Author Contact Information for Data in How Reactive is the Bromine in Bromochloramine (NHBrCl)? V1

Corresponding author information to request data. 

This dataset is associated with the following publication:
Brodfuehrer, S., J. Goodman, D. Wahman, G. Speitel, and L. Katz. Apparent Reactivity of Bromine in Bromochloramine Depends on Synthesis Method: Implicating Bromine Chloride and Molecular Bromine as Important Bromine Species.   JOURNAL OF ENVIRONMENTAL ENGINEERING. American Society of Civil Engineers  (ASCE), Reston, VA, USA, 148(12): 06022006, (2022).

Tags: bromamines, bromochloramine, drinking-water, kinetics
Organization: U.S. Environmental Protection Agency
Datasets for manuscript: ADAM: A Web Platform for Graph-Based Modeling and Optimization of Supply Chains

# ADAM-Data-Repository
This repository contains all the data needed to run the case studies for the ADAM manuscript.

## Biogas production
The directory "biogas" contains all data for the biogas production case studies (Figs 13 and 14). Specifically, "biogas/biogas_x" contains the data files for the scenario where "x" is the corresponding Renewable Energy Certificates (RECs) value. 

## Plastic waste recycling
The directory "plastic_waste" contains all data for the plastic waste recycling case studies (Figs 15 and 16). Different scenarios share the same supply, technology site, and technology candidate data, as specified by the "csv" files under "plastic_waste". Each scenario has a different demand data file, which is contained in "plastic_waste/Elec_price" and "plastic_waste/PET_price".

## How to run the case studies
In order to run the case studies, one can create a new model in ADAM and upload appropriate CSV file at each step (e.g. upload `biogas/biogas_0/supplydata197.csv` in step 2 where supply data are specified). 

This dataset is associated with the following publication:
Hu, Y., W. Zhang, P. Tominac, M. Shen, D. Göreke, E. Martín-Hernández, M. Martín, G.J. Ruiz-Mercado, and V.M. Zavala. ADAM: A web platform for graph-based modeling and optimization of supply chains.   COMPUTERS AND CHEMICAL ENGINEERING. Elsevier Science Ltd, New York, NY, USA, 165: 107911, (2022).

Tags: nutrient-pollution, organic-waste, supply-chain, water-pollution
Organization: U.S. Environmental Protection Agency
Benchmark Dose Modeling Approaches for Volatile Organic Chemicals using a Novel Air-Liquid Interface In Vitro Exposure System

Whole transcriptomics dose response data is collected and storedthrough public facing Gene Expression Omnibus database.
Raw collected viability/cytotoxicity data for each chemical are collected and presented on separate spreadsheets. Portions of this dataset are inaccessible because: The transcriptomics full data file is too large to be uploaded alone onto ScienceHub, impeding ease of access. They can be accessed through the following means: Raw and processed transcriptomics data is available through Gene Expression Omnibus (GEO, https://www.ncbi.nlm.nih.gov/geo/) under accession GSE199794. Format: The full transcriptomics data set for all chemical conditions tested. 

This dataset is associated with the following publication:
Speen, A., J. Murray, T. Krantz, D. Davies, P. Evansky, J. Harrill, L. Everett, J. Bundy, L. Dailey, W. Zander, E. Carlsten, M. Monsees, J. Hill, J. Zavala, and M. Higuchi. Benchmark Dose Modeling Approaches for Volatile Organic Chemicals using a Novel Air-Liquid Interface In Vitro Exposure System.   TOXICOLOGICAL SCIENCES. Society of Toxicology, RESTON, VA,  188(1): 88-107, (2022).

Tags: airway-epithelial-cells, transcriptomics, volatile-organic-compound-voc
Organization: U.S. Environmental Protection Agency
Stream features chloride v3

spreadsheet of data on salinity and other ancillary variables from Minebank Run stream, Baltimore, MD. 

This dataset is associated with the following publication:
Kaushal, S.S., J.E. Reimer, P. Mayer, R.R. Shatkay, C.M. Mass, W. Nguyen, W.L. Boger, A.M. Yaculak, T.R. Doody, M. Pennino, N.W. Bailey, J.G. Galella, A. Weingrad, D.C. Collison, K.L. Wood, S. Haq, T. Newcomer-Johnson, S. Duan, and K.T. Belt. Freshwater salinization syndrome alters retention and release of chemical cocktails along flowpaths: From stormwater management to urban streams.   Freshwater Science. The Society for Freshwater Science, Springfield, IL,  41(3): 420-441, (2022).

Tags: co-pollutants, green-infrastructure, groundwater, nitrogen-and-co-pollutants, sensor, streams, urban-watersheds
Organization: U.S. Environmental Protection Agency
Data for AMORE-Isoprene v1.0: A new reduced mechanism for gas-phase isoprene oxidation

Data zip file contains the exact CMAQ code used by Wiser et al. in the development of CRACMM1AMORE. In addition, CMAQ predictions and AQS observations of formaldehyde and ozone appearing in Figure 8 are included as csv files. For information on CMAQ file conventions as well as site compare output for model/observation evaluation, see the linked github repository for CMAQ. Linked dois include the standard CMAQv5.3.3 code and AMORE supplementary files.

Tags: air-quality, cmaq, cracmm, formaldehyde, isoprene, ozone
Organization: U.S. Environmental Protection Agency
Compiled data for simulating economy-wide effects of a carbon adder in New York state.

The dataset is produced by combining information from the Wisconsin National Data Consortium (WiNDC -- open source state level input output tables) and the State Energy Data System (Department of Energy). Programs for compiling the data from source data are available upon request. Citation information for this dataset can be found in the EDG's Metadata Reference Information section and Data.gov's References section.

Tags: applied-economic-analysis, cap-and-trade-programs, computable-general-equilibrium-models, emision-taxes, energy-standards
Organization: U.S. Environmental Protection Agency
A chemical prioritization process: Applications to contaminants of emerging concern in freshwater ecosystems (Phase I)

Supporting data for "A chemical prioritization process: Applications to contaminants of emerging concern in freshwater ecosystems (Phase 1)". These data describe contaminants of emerging concern (CECs) detected in subsistence fish species and freshwater ecosystems on the Grand Portage Indian Reservation and adjacent 1854 Ceded Territory in Northeastern Minnesota, USA. They also contain chemical-specific information, including acute toxicity, endocrine activity, physicochemical properties, and frequency of occurrence data used to prioritize detected CECs based on their potential environmental hazard. Citation information for this dataset can be found in the EDG's Metadata Reference Information section and Data.gov's References section.

Tags: aquatic-toxicity-profiles, chemicals-of-emerging-concern, hazard-identification, hazard-ranking, indigenous-peoples, pollutants
Organization: U.S. Environmental Protection Agency
Lidar - DOE ARM StreamLine Doppler Lidar (Halo) - Raw Data

**Overview**

Refer to attached documentation.

**Data Details**

**Product type should be "derived" not "observed."**

**Data Quality**

Refer to attached documentation.

**Uncertainty**

Refer to attached documentation.

Tags: 00, a2e, atmosphere-to-electrons, doe-arm-streamline-doppler-lidar-halo, eere, experimental-planetary-boundary-layer-instrumentation-assessment, lidar, raw-data, weto, wind, xpia, z06
Organization: Department of Energy
USFS North Happy Camp Complex Lidar, CA 2015

Lidar data was collected within the Klamath Forest region between February 16 2105 and March 08 2015 for the USDA Forest Service between. The critical challenge for this project was to acquire the data before the leaf-on conditions but without snow on the highest peaks. For this particular reason, the Happy Camp Complex project area was split into Northern and Southern subdivisions.  This dataset covers the Northern section of the Happy Camp Complex which represents the lower elevation area of the two subdivisions.

Organization: OpenTopography
USFS Power Fire Lidar, CA 2015

Lidar was collected in the fall of 2014 and spring of 2015 for the USFS Pacific Region 5 sites in California. Data were collected to aid United States Forest Service in assessing the topographic and geophysical properties of the study area to support ecological restoration planning and to assess existing conditions of area forests. The Power Fire project area covers over 114,000 acres (> 460 km2)

Organization: OpenTopography