It is important to read all of the information below before depositing data into this collection.

Metadata should be entered using both the Deposit Template guidance and the information below. Before beginning, ensure all deposits are in the public domain to avoid copyright Infringement

A Deposit Template has been added by default to guide the process of completing the metadata information for datasets in this collection. Select the ADD DATA and New Dataset option on the right-hand side of this page (not the option at the top of the page) when ready to start depositing data.

The purpose of this sub-collection is to store critical climate and health datasets accessible at various locations in one place. Because these datasets are extracted with minimal modification, complete metadata that notes where appropriate citation data can be found is especially important to note.

Additional deposit guidance:
1) Subsets of a source dataset: If the deposit is a subset of the source data (ie: selecting subset of variables, specific geographic area, etc.), this should be noted in the Title and Description metadata fields. Include any available metadata, and other information available from the source data website.
2) Metadata About Data Sources field: Include all information that is available. Specific fields to include have been noted in the Deposit Template
3) Licensing: Licensing determines the possibility of extraction and posting in this sub-collection. Please review any relevant information to ensure data extraction and posting is permitted. By default, this collection includes "CC0" as the license. This can be modified per data deposit and before publishing by clicking on the "TERMS" tab of a DRAFT dataset.
4) Adding additional metadata: After uploading the initial requested information and saving your deposit, click the Edit Dataset option on the dataset page to add any additional metadata.
5) Submit for Review : Continue to "edit" the DRAFT dataset until you have entered all the available metadata. Once your draft is ready for review, select the "Submit for Review" option on your dataset page's top right-hand corner.

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31 to 40 of 205 Results
Apr 23, 2025
Federal Emergency Management Agency, 2025, "Extracted Data From: Open FEMA Data National Flood Insurance Program", https://doi.org/10.7910/DVN/SXJBBZ, Harvard Dataverse, V2
This submission includes publicly available data extracted in its original form. Please reference the Related Publication listed here for source and citation information If you have questions about underlying source data, contact OpenFEMA at OpenFEMA@fema.dhs.gov. For questions about metadata or this extracted data contact CAFÉ (climatecafe@bu.edu)...
Apr 23, 2025
Health Effects Laboratory Division, Allergy and Clinical Immunology Branch, 2025, "Extracted Data From: Efficacy of Do-It-Yourself Air Filtration Units in Reducing Exposure to Simulated Respiratory Aerosols", https://doi.org/10.7910/DVN/OXD7BP, Harvard Dataverse, V1, UNF:6:IN6GHiE5nI8KwaTaklkRDg== [fileUNF]
This submission includes publicly available data extracted in its original form. If you have questions about the underlying data stored here, please contact the Health Effects Laboratory Division, Allergy and Clinical Immunology Branch at sa-cin-webteam@cdc.gov. If you have questions or recommendations related to this metadata entry and extracted d...
Apr 23, 2025
National Cancer Institute, 2025, "Extracted Data From: National Childhood Cancer Registry Explorer", https://doi.org/10.7910/DVN/KVJUQ2, Harvard Dataverse, V1
This submission includes publicly available data extracted in its original form. Please reference the Related Publication listed here for source and citation information: NCCR*Explorer: An interactive website for NCCR cancer statistics [Internet]. National Cancer Institute; 2024 Sep 26. [cited 2025 Apr 23]. Available from: https://nccrexplorer.ccdi...
Apr 22, 2025
Office of Energy Efficiency & Renewable Energy, 2025, "Extracted Data from: Alternative Fueling Station Locator United States and Canada", https://doi.org/10.7910/DVN/9UNXFY, Harvard Dataverse, V1, UNF:6:WWz1KVnP8Cbh+EQVyLN9lw== [fileUNF]
This submission includes publicly available data extracted in its original form. Please reference the Related Publication listed here for source and citation information. If you have questions about the underlying data stored here, please contact the Alternative Fuels Data Center at the following form: https://afdc.energy.gov/website-contact. If yo...
Apr 22, 2025 - United States Department of Energy
Alternative Fuels Data Center, 2025, "Alternative Fuels Data Center", https://doi.org/10.7910/DVN/NZGZZI, Harvard Dataverse, V1
Data related to alternative fuels and advanced vehicles.
Apr 22, 2025 - United States Geological Survey
United States Geological Survey, 2025, "SPARROW Surface Water-Quality Modeling", https://doi.org/10.7910/DVN/ZSAIH3, Harvard Dataverse, V1
A modeling tool for the regional interpretation of water-quality monitoring data.
Apr 22, 2025 - United States Geological Survey
United States Geological Survey, 2025, "The North American Breeding Bird Survey (BBS) is a large-scale, long-term monitoring program designed to track the status and trends of North American bird populations.", https://doi.org/10.7910/DVN/QFT9HX, Harvard Dataverse, V1, UNF:6:+MyScZYOWL3PB1wa/L6krg== [fileUNF]
The Breeding Bird Survey (BBS) is a standardized and one of the rare long-term databases of ecological communities. The BBS permits us to understand long-term changes in North American bird communities, such as their responses to climate change (migration phenology), overall diversity trends (indicators of the effect of habitat loss or alteration),...
Apr 22, 2025 - United States Geological Survey
United States Geological Survey, 2025, "United States Geological Survey: Employee Phonebook", https://doi.org/10.7910/DVN/7Z78KN, Harvard Dataverse, V1, UNF:6:YTdY43QNT7ZzaeXBGWpujQ== [fileUNF]
Excel spreadsheet of the Employee Phonebook. Last modified Wednesday, January 22, 2014.
Apr 22, 2025 - United States Geological Survey
United States Geological Survey, 2025, "USGS Surface Water Information", https://doi.org/10.7910/DVN/FPRIEN, Harvard Dataverse, V1, UNF:6:ru1/w2o5G6s/P824bBaCog== [fileUNF]
USGS Hydro-Climatic Data Network (HCDN-2009). This data set is very small, consisting of just an EXCEL file with information on USGS stream gage stations that are unaffected by human interventions and therefore appropriate for use to evaluate historical hydrological observations that are attributable only to climatic variations. Updated in 2009. Th...
Apr 22, 2025 - United States Department of Energy
U.S. Energy Information Adminstration, 2025, "U.S. Energy Information Administration Projection Reports, 2017", https://doi.org/10.7910/DVN/M8MXVY, Harvard Dataverse, V1, UNF:6:hemiE0ed1nGGH4dJvGwEVQ== [fileUNF]
Reports in pdf and csv format from the US Energy Information Administration (EIA) with forecast models on crude oil and petroleum liquids, gasoline, diesel, natural gas, electricity, coal prices, supply, and demand projections. This page updates frequently - this snapshot was made Feb. 4, 2017. Includes monthly short-term forecasts (released: the f...
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