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Nimbus-7 SMMR Derived Monthly Global Snow Cover and Snow Depth
nasa-test-0.demo.socrata.com | Last Updated 2015-07-19T09:14:15.000ZThe data set consists of monthly global snow cover and snow depth derived from Nimbus-7 SMMR data for 1978 through 1987. The SMMR data are interpolated for spatial and temporal gaps, and averaged for display in polar stereographic projection. Maps are based on six-day average brightness temperature data from the middle week of each month. Data are placed into 1/2 degree latitude by 1/2 degree longitude grid cells uniformly subdividing a polar stereographic map according to the geographic coordinates of the center of the radiometers' fields of view. Overlapping data from separate orbits in the same six-day period are averaged to give a single brightness temperature assumed to be at the cell's center. Oceans and bays are masked so that only microwave data for land areas are displayed. Comparisons of SMMR snow cover maps with previous maps produced by NOAA/NESDIS and US Air Force Global Weather Center indicate that the total snow covered area derived from SMMR is usually about ten percent less than that measured by the earlier products, because passive microwave sensors often can't detect shallow dry snow less than about 5 cm deep. Snow depths are comparable, showing SMMR results to be especially good for uniform snow covered areas such as the Canadian high plains and Russian steppes. Heavily forested and mountainous areas tend to mask the microwave snow signatures, and SMMR snow depth derivations are less reliable in those areas. Formerly distributed by NASA/GSFC/NSSDC and NASA Pilot Land Data System (PLDS), these data are now available via ftp from NSIDC.
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Natural Community Biodiversity by County
data.ny.gov | Last Updated 2022-02-25T19:45:56.000ZThe NYS Department of Environmental Conservation (DEC) collects and maintains several datasets on the locations, distribution and status of species of plants and animals. Information on distribution by county from the following three databases was extracted and compiled into this dataset. First, the New York Natural Heritage Program biodiversity database: Rare animals, rare plants, and significant natural communities. Significant natural communities are rare or high-quality wetlands, forests, grasslands, ponds, streams, and other types of habitats. Next, the 2nd NYS Breeding Bird Atlas Project database: Birds documented as breeding during the atlas project from 2000-2005. And last, DEC’s NYS Reptile and Amphibian Database: Reptiles and amphibians; most records are from the NYS Amphibian & Reptile Atlas Project (Herp Atlas) from 1990-1999.
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Curb Ramps and Sidewalks on NYS-Owned Highways Map
data.ny.gov | Last Updated 2023-04-12T20:17:38.000ZThis data set includes all sidewalks and curb ramps located on the road system under the jurisdiction of New York State Department of Transportation (DOT). It contains the Regional Office responsible for the management of the feature, the state county where the feature is located and the route name and number for sidewalks on state-owned routes within New York State. The data set does not include sidewalks or curb ramps located on non-state owned routes such as those owned by cities, towns or villages within the state.
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CL Apartment new Bldg
data.lacity.org | Last Updated 2023-05-22T09:33:24.000ZThe Department of Building and Safety issues permits for the construction, remodeling, and repair of buildings and structures in the City of Los Angeles. Permits are categorized into building permits, electrical permits, and mechanical permits (which include plumbing, HVAC systems, fire sprinklers, elevators, and pressure vessels). Depending on the complexity of a project, a permit may be issued the same day with Express Permit or e-Permit ("No Plan Check" category), or a permit may require that the plans be reviewed ("Plan Check" category) by a Building and Safety Plan Check personnel.
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Permits w GA 1115
data.lacity.org | Last Updated 2023-05-22T09:33:24.000ZThe Department of Building and Safety issues permits for the construction, remodeling, and repair of buildings and structures in the City of Los Angeles. Permits are categorized into building permits, electrical permits, and mechanical permits (which include plumbing, HVAC systems, fire sprinklers, elevators, and pressure vessels). Depending on the complexity of a project, a permit may be issued the same day with Express Permit or e-Permit ("No Plan Check" category), or a permit may require that the plans be reviewed ("Plan Check" category) by a Building and Safety Plan Check personnel.
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HCD Property Investments FY10-Q1 24
data.memphistn.gov | Last Updated 2024-05-21T16:49:51.000ZAddress-level dataset of of properties receiving HCD services from July 1, 2009 - March 31, 2024 (FY10-Q1 24). Data was combined in June-July 2020 from multiple sources, including IDIS (HUD data and reimbursement system), tracking spreadsheets maintained by HCD managers, and WAPez (weatherization data system).
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Number of Treatment by Month
www.dallasopendata.com | Last Updated 2021-08-23T20:16:14.000ZDallas Animal Medical Data pertains to operational processes carried out by medical personnel who provide care and medical attention to the animals received at Dallas Animal Services. Medical personnel document their work using Chameleon software, an animal shelter management program. The Dallas Animal Medical Data is updated daily to help citizens better understand the operational processes that the medical personnel perform daily for the animals and citizens of the City of Dallas. “Helping Dallas be a safe, compassionate, and healthy place for people and animals”. The start date is October 01, 2016.
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Dallas Animals Field Data Fiscal Year 2016 - 2017
www.dallasopendata.com | Last Updated 2021-08-17T14:48:04.000ZDallas Animal Services data that pertains to operations by Animal Services Officers (ASO) who respond to calls in the field throughout the City of Dallas. ASO’s document their work using Chameleon software, an animal shelter software program. The document will be updated on a daily basis, so that citizens have a greater understanding of what ASO’s are doing in the neighborhoods of Dallas. “Helping Dallas be a safe, compassionate, and healthy place for people and animals”. Start date is October 01, 2016
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Vital Signs: Transit Cost-Effectiveness – by operator
data.bayareametro.gov | Last Updated 2018-07-06T18:04:51.000ZVITAL SIGNS INDICATOR Transit Cost-Effectiveness (T13) FULL MEASURE NAME Net cost per transit boarding (cost per boarding minus fare per boarding) LAST UPDATED May 2017 DESCRIPTION Transit cost-effectiveness refers to both the total and net costs per transit boarding, both of which are adjusted to reflect inflation over time. Net costs reflect total operating costs minus farebox revenue (i.e. operating costs that are not directly funded by system users). The dataset includes metropolitan area, regional, mode, and system tables for net cost per boarding, total cost per boarding, and farebox recovery ratio. DATA SOURCE Federal Transit Administration: National Transit Database http://www.ntdprogram.gov/ntdprogram/data.htm Bureau of Labor Statistics: Consumer Price Index http://www.bls.gov/data/ CONTACT INFORMATION vitalsigns.info@mtc.ca.gov METHODOLOGY NOTES (across all datasets for this indicator) Simple modes were aggregated to combine the various bus modes (e.g. rapid bus, express bus, local bus) into a single mode to avoid incorrect conclusions resulting from mode recoding over the lifespan of NTD. For other metro areas, operators were identified by developing a list of all urbanized areas within a current MSA boundary and then using that UZA list to flag relevant operators; this means that all operators (both large and small) were included in the metro comparison data. Financial data was inflation-adjusted to match 2015 dollar values using metro-specific Consumer Price Indices.
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Contribution to High Asia Runoff from Ice and Snow (CHARIS) Melt Model Output, 2001 - 2014, Version 1
data.nasa.gov | Last Updated 2022-01-17T05:15:59.000ZThis data set contains input and output data for temperature index (TI) model runs completed for the Contributions to High Asia Runoff from Ice and Snow (CHARIS) project at NSIDC in 2018 and 2019. The input data are the area of snow on land, snow on ice, and exposed glacier ice as well as surface air temperature. These inputs are used to model the volumes of melt runoff from the snow on land, snow on ice, and exposed glacier ice in certain areas of High Mountain Asia.