Downbound Barge Grain Movements (Tons)

The Mississippi River (north of St. Louis, MO) and its tributaries (e.g., the Arkansas River, Illinois River, Ohio River, etc.) make use of a series of locks and dams to bring traffic up and down the waterways. Grain generally flows south from the relatively production-rich areas of the Midwest to export ports in Louisiana and feed markets in the southeast. This dataset provides weekly information on the amount (in tons), location, and commodity of barged grain transiting the following three major points: (1) the last lock on the Mississippi, Mississippi Locks 27 (called "Miss Locks 27" in the dataset), which captures downbound traffic from the Upper Mississippi and Missouri Rivers; (2) the last lock on the Ohio River, Olmsted Locks and Dam (called "Ohio Olmstead" in the dataset), which captures any downbound traffic on the Ohio and Tennessee Rivers; and (3) the last lock on the Arkansas River, Arkansas River Lock and Dam 1 (called "Ark Lock 1" in the dataset). Ohio Olmsted locks replaced Ohio Locks 52 beginning in November 2018. Commodities include "corn," "soybeans," "wheat," and "other" (oats, barley, sorghum, and rye). Combined, these three locks give a sense of barge grain traffic (by commodity) on the Mississippi--since grain shipments heading south from the Upper Mississippi River, Illinois River, Ohio River, and Arkansas River are captured. Note, however, that this data does not include all grain barge movements on the Mississippi Rover System, as some grain originates on the Mississippi below the locking portion (south of St. Louis, MO). Grain traffic originating below Lock 27 on the Mississippi is about 10 to 30 percent of total downbound grain shipments, which varies year to year. A similar dataset, "Upbound and Downbound Loaded and Empty Barge Movements (Count)," contains information on the count of grain barges moving down the locking system (https://agtransport.usda.gov/d/w6ip-grsn) versus this dataset that shows tonnages. Data is collected weekly from the U.S. Army Corps of Engineers' Lock Performance Monitoring System.

DWR Dam Safety Jurisdictional Dam

A Jurisdictional Dam is a dam creating a reservoir with a capacity of more than 100 acre-feet, or creates a reservoir with a surface area in excess of 20 acres at the high-water line, or exceeds 10 feet in height measured vertically from the elevation of the lowest point of the natural surface of the ground where that point occurs along the longitudinal centerline of the dam up to the crest of the emergency spillway of the dam. For reservoirs created by excavation, or where the invert of the outlet conduit is placed below the surface of the natural ground at its lowest point beneath the dam, the jurisdictional height shall be measured from the invert of the outlet at the longitudinal centerline of the embankment or from the bottom of the excavation at the longitudinal centerline of the dam, whichever is greatest. Jurisdictional height is defined in Rule 4.2.19. The State Engineer shall have final authority over determination of the jurisdictional height of the dam.

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.

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, Gas, & Other Regulated Wells: Beginning 1860

Information on oil, gas, storage, solution salt, stratigraphic, and geothermal wells in New York State

Flood Hazard Areas (DFIRM Statewide)

Resident Satisfaction Survey Results 2018