NYSERDA 2024 Soils Data for use in the Large-Scale Renewables and NY-Sun Programs

THE NYSERDA 2024 SOILS DATA IS TO BE USED FOR NYSERDA’S RENEWABLE ENERGY STANDARD (RES) REQUEST FOR PROPOSAL (RFP) ISSUED AFTER THE PUBLICATION OF THIS DATA OR THE NY-SUN PROGRAM AND IS NOT INTENDED TO REPRESENT ACTUAL IN SITU SOIL CONDITIONS. In order to facilitate the protection of agricultural lands, developers participating in RESRFPs or the NY-Sun program may be responsible for making an agricultural mitigation payment to a designated fund based on the extent to which the solar project’s facility area overlaps with an Agricultural District and New York’s highly productive agricultural soils, identified as Mineral Soil Groups (MSG) classifications 1 through 4 (MSG 1-4). This mitigation approach is designed to discourage solar projects from siting on MSG 1-4. Furthermore, this mitigation approach is designed to encourage retaining agricultural productivity on the project site. Instances where Proposers cannot avoid or minimize impacts on MSG 1-4 will result in a payment to a fund administered by NYSERDA. Disbursement of collected agricultural mitigation payment funds will be informed by consultation with the New York State Department of Agriculture and Markets (AGM) to support ongoing regional agricultural practices and/or soil conservation initiatives. This dataset contains a combination of soils data from multiple sources to serve participants of NYSERDA’s Large-Scale Renewable and NY-Sun programs. The NYSERDA 2024 Soils Data was created by converting the 2024 New York State Agricultural Land Classification master list of soils maintained by AGM to a tabular form and providing a corresponding unique identifier for each listed soil that enables the user to link the soils to the Natural Resources Conservation Service (NRCS) SSURGO soils database, allowing for a geographical representation. When the NYSERDA 2024 Soils Data is joined with spatial data from the Natural Resources Conservation Service (NRCS) SSURGO soils database, the corresponding soil unit can be mapped in a geographic information system software. The latest version of the SSURGO database should be used to get the most accurate join. Data is updated yearly from both NRCS and from AGM, however, NYSERDA will not update this dataset and it will remain intact for future reference. NYSERDA intends on creating new soils datasets for future procurements on an annual basis. The New York State Energy Research and Development Authority (NYSERDA) offers objective information and analysis, innovative programs, technical expertise, and support to help New Yorkers increase energy efficiency, save money, use renewable energy, and reduce reliance on fossil fuels. To learn more about NYSERDA’s programs, visit nyserda.ny.gov or follow us on X, Facebook, YouTube, or Instagram.

NYSERDA 2023 Soils Data for use in the Large-Scale Renewables and NY-Sun Programs

THE NYSERDA 2023 SOILS DATA IS TO BE USED FOR NYSERDA’S RENEWABLE ENERGY STANDARD (RES) REQUEST FOR PROPOSAL (RFP) ISSUED AFTER THE PUBLICATION OF THIS DATA OR THE NY-SUN PROGRAM AND IS NOT INTENDED TO REPRESENT ACTUAL IN SITU SOIL CONDITIONS. In order to facilitate the protection of agricultural lands, developers participating in RESRFPs or the NY-Sun program may be responsible for making an agricultural mitigation payment to a designated fund based on the extent to which the solar project’s facility area overlaps with an Agricultural District and New York’s highly productive agricultural soils, identified as Mineral Soil Groups (MSG) classifications 1 through 4 (MSG 1-4). This mitigation approach is designed to discourage solar projects from siting on MSG 1-4. Furthermore, this mitigation approach is designed to encourage retaining agricultural productivity on the project site. Instances where Proposers cannot avoid or minimize impacts on MSG 1-4 will result in a payment to a fund administered by NYSERDA. Disbursement of collected agricultural mitigation payment funds will be informed by consultation with the New York State Department of Agriculture and Markets (AGM) to support ongoing regional agricultural practices and/or soil conservation initiatives. This dataset contains a combination of soils data from multiple sources to serve participants of NYSERDA’s Large-Scale Renewable and NY-Sun programs. The NYSERDA 2023 Soils Data was created by converting the 2023 New York State Agricultural Land Classification (https://agriculture.ny.gov/system/files/documents/2023/01/masterlistofagriculturalsoils.pdf) master list of soils maintained by AGM to a tabular form and providing a corresponding unique identifier for each listed soil that enables the user to link the soils to the Natural Resources Conservation Service (NRCS) SSURGO soils database, allowing for a geographical representation. When the NYSERDA 2023 Soils Data is joined with spatial data from the Natural Resources Conservation Service (NRCS) SSURGO soils database (https://www.nrcs.usda.gov/wps/portal/nrcs/detail/soils/survey/?cid=nrcs142p2_053627), the corresponding soil unit can be mapped in a geographic information system software. The latest version of the SSURGO database (https://nrcs.app.box.com/v/soils) should be used to get the most accurate join. Data is updated yearly from both NRCS and from AGM, however, NYSERDA will not update this dataset and it will remain intact for future reference. NYSERDA intends on creating new soils datasets for future procurements on an annual basis. The New York State Energy Research and Development Authority (NYSERDA) offers objective information and analysis, innovative programs, technical expertise, and support to help New Yorkers increase energy efficiency, save money, use renewable energy, and reduce reliance on fossil fuels. To learn more about NYSERDA’s programs, visit nyserda.ny.gov or follow us on X, Facebook, YouTube, or Instagram.

National Flood Hazard Layer (HESS)

National Flood Hazard Layer (NFHL) for development of the Parcel Inventory dataset for the Housing Element Site Selection (HESS) Pre-Screening Tool. This NFHL data incorporates all Flood Insurance Rate Map (FIRM) databases published by the Federal Emergency Management Agency (FEMA), and any Letters of Map Revision (LOMRs) that have been issued against those databases since their publication date. It is updated on a monthly basis. The FIRM Database is the digital, geospatial version of the flood hazard information shown on the published paper FIRMs. The FIRM Database depicts flood risk information and supporting data used to develop the risk data. The primary risk classifications used are the 1-percent-annual-chance flood event, the 0.2-percent-annual-chance flood event, and areas of minimal flood risk. The FIRM Database is derived from Flood Insurance Studies (FISs), previously published FIRMs, flood hazard analyses performed in support of the FISs and FIRMs, and new mapping data, where available. The FISs and FIRMs are published by FEMA. In addition to the identification of Special Flood Hazard Areas, the risk zones shown on the FIRMs are the basis for the establishment of premium rates for flood coverage offered through the National Flood Insurance Program. The FIRM Database presents the flood risk information depicted on the FIRM in a digital format suitable for use in electronic mapping applications. The FIRM Database serves to archive the information collected during the Flood Risk Project. ** This flood zone data should not be used for flood insurance purposes, but rather hazard mapping. FIRM data retrieved directly from the FEMA should be used for insurance programs. Source data, by county, was downloaded from https://msc.fema.gov/portal/advanceSearch.

OLAS Population-based Water Stress and Risk Dataset for Latin America and the Caribbean

LAC is the most water-rich region in the world by most metrics; however, water resource distribution throughout the region does not correspond demand. To understand water risk throughout the region, this dataset provides population and land area estimates for factors related to water risk, allowing users to explore vulnerability throughout the region to multiple dimensions of water risk. This dataset contains estimates of populations living in areas of water stress and risk in 27 countries in Latin America and the Caribbean (LAC) at the municipal level. The dataset contains categories of 18 factors related to water risk and 39 indices of water risk and population estimates within each with aggregations possible at the basin, state, country, and regional level. The population data used to generate this dataset were obtained from the WorldPop project 2020 UN-adjusted population projections, while estimates of water stress and risk come from WRI’s Aqueduct 3.0 Water Risk Framework. Municipal administrative boundaries are from the Database of Global Administrative Areas (GADM). For more information on the methodology users are invited to read IADB Technical Note IDB-TN-2411: “Scarcity in the Land of Plenty”, and WRIs “Aqueduct 3.0: Updated Decision-relevant Global Water Risk Indicators”. | https://www.wri.org/data/aqueduct-global-maps-30-data | | https://www.worldpop.org/ | | https://gadm.org/ |

OLAS/SCL WASH Household Survey Dataset

The OLAS/SCL Household Survey Data Set contains 47 water and sanitation related indicators generated from microdata from national household surveys throughout the region. The data set contains information from 2003-2022 for 22 countries throughout Latin America and the Caribbean. Indicators are provided in terms of household percentage and total households that fall into each category, and can be broken down by various socioeconomic dimensions, including area (urban or rural community), income quintile, migratory status, ethnicity, and disability status. This dataset is the result of a collaboration between INE/WSA and SCL, and is a subset of the larger IDB SCL Indicators dataset.

OLAS/SCL WASH Household Survey Dataset - Regional Estimates

This dataset provides regional estimates for the indicators in the OLAS/SCL WASH Household Survey Dataset: https://mydata.iadb.org/Water-and-Sanitation/OLAS-SCL-WASH-Household-Survey-Dataset/bjat-gfsm For information on how the dataset was generated, please refer to the methodology document.

Oil and Gas Annual Production: Beginning 2001

This dataset contains annual production information of oil and gas wells in New York State from 2001 to present.

Flood Hazard Areas (DFIRM Statewide)

Guatemala Maternal health and Sanitation Data: Section 1

Data on maternal Health and household sanitation in Segamil and Paisano in Guatemala In the process of migrating data to the current DDL platform, datasets with a large number of variables required splitting into multiple spreadsheets. They should be reassembled by the user to understand the data fully.

Resident Satisfaction Survey Results 2018