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This dataset represents the extent of urbanization (for the year indicated) predicted by the model SLEUTH, developed by Dr. Keith C. Clarke, at the University of California, Santa Barbara, Department of Geography and modified by David I. Donato of the United States Geological Survey (USGS) Eastern Geographic Science Center (EGSC). Further model modification and implementation was performed at the Biodiversity and Spatial Information Center at North Carolina State University.
This data set provides Daymet Version 3 model output data as gridded estimates of daily weather parameters for North America and Hawaii: including Canada, Mexico, the United States of America, Puerto Rico, and Bermuda. The island areas of Hawaii and Puerto Rico are available as files separate from the continental land mass. Daymet output variables include the following parameters: minimum temperature, maximum temperature, precipitation, shortwave radiation, vapor pressure, snow water equivalent, and day length. The data set covers the period from January 1, 1980 to December 31 of the most recent full calendar year. Each subsequent year is processed individually at the close of a calendar year. Daymet variables are...
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
NetCDF OPeNDAP Service,
Raster;
Tags: climate,
climatologyMeteorologyAtmosphere,
dataset,
service
This dataset contains zooplankton species distribution and abundance data collected in the Chukchi Sea during the August 2017 Arctic Marine Biodiversity Observing Network (AMBON) research cruise. The dataset is a comma separate values file (csv) exported from a Microsoft Excel spreadsheet. The data include the location, date, time, depth, abundance and biomass of zooplankton collected during the 2017 AMBON cruise. Zooplankton were caught with traditional 150µm plankton nets and taxonomically identified. Each data file include the location, date, time, depth, and identification of zooplankton taxa collected during the 2015 AMBON cruise. The data in the file named AMBON2017_Zooplankton_Abundance_150_DC.csv and AMBON2017_505_Zooplankton_Abundance_DWC.csv...
Categories: Data;
Tags: AMBON,
Acartia,
Acartia longiremis,
Aeginopsis laurentii,
Arctic Marine Biodiversity Observation Network,
Marine biodiversity is a key component of ocean health. Monitoring and understanding marine biodiversity is essential for our ability to forecast and respond to changes. The goal of the Arctic Marine Biodiversity Observing Network (AMBON) project is to demonstrate and build an operational marine biodiversity observing network from microbes to whales, integrating diversity levels from genetic to organismal. AMBON field region is located on the Chukchi Sea continental shelf in the US Arctic as a region exposed to climatic changes and anthropogenic influences. This dataset contains biomass and abundance data collected in the Chukchi Sea during the August 2017 Arctic Marine Biodiversity Observing Network (AMBON) research...
Categories: Data;
Tags: AMBON,
Amphipoda,
Annelida,
Arctic Marine Biodiversity Observation Network,
Arctic Ocean,
This layer was created from the Ecological Systems Map (ESM+, also called DSL Land) to highlight a number of habitat types specifically. We used the Summarize Zones function in ArcMap along with the Protected Areas Dataset and the ESM+ layer to identify the extent and protection status of all ecological systems (macrogroup level) across the 4 northeast states of NY, VT, NH, and ME. We also used information on potential habitats for Regional Species of Greatest Conservation Need (RSGCN) for these 4 states from a prior crosswalk of ESM+ macrogroups with Natureserve habitat types completed by Glennon and Curran (2013). The following habitat types were identified as (1) making up less than 10% of NYS (most are <...
Categories: Data;
Types: ArcGIS REST Map Service,
ArcGIS Service Definition,
Downloadable,
Map Service;
Tags: Data,
LCC Network Science Catalog,
NYS,
NYS,
New York,
Riparian areas and floodplain forests are critical to wildlife and used by large numbers of species not only for habitat but as important corridors for dispersal and migration. We created a raster from the ESM+ layer that identified lotic habitats and the adjacent areas up to 100m from them in order to denote riparian features on the landscape that may be worthy of protection. We selected a 100m distance as a buffer distance which, if protected, would enhance conservation of riparian habitats and is consistent with prior recommendations we have made about protection of these features (WCS 2010, 2013).
Categories: Data;
Types: ArcGIS REST Map Service,
ArcGIS Service Definition,
Downloadable,
Map Service;
Tags: Data,
Ecological Systems,
Ecological Systems,
Floodplains,
Floodplains,
This dataset was created using the PRISM (Parameter-elevation Regressions on Independent Slopes Model) climate mapping system, developed by Dr. Christopher Daly, PRISM Climate Group director. PRISM is a unique knowledge-based system that uses point measurements of precipitation, temperature, and other climatic factors to produce continuous, digital grid estimates of monthly, yearly, and event-based climatic parameters. Continuously updated, this unique analytical tool incorporates point data, a digital elevation model, and expert knowledge of complex climatic extremes, including rain shadows, coastal effects, and temperature inversions. PRISM data sets are recognized world-wide as the highest-quality spatial climate...
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
NetCDF OPeNDAP Service,
Raster;
Tags: PRISM Climate Group,
USGS Science Data Catalog (SDC),
air temperature,
climatologyMeteorologyAtmosphere,
dataset,
Resilience concerns the ability of a living system to adjust to climate change, to moderate potential damages, to take advantage of opportunities, or to cope with consequences; in short, its capacity to adapt. In this project we aim to identify the most resilient examples of key geophysical settings (e.g. sand plains, granite mountains, limestone valleys, etc.) in New york State to provide conservationists with a nuanced picture of the places where conservation is most likely to succeed over centuries.The project had three parts: 1) identifying and mapping the geophysical settings, 2) developing a quantitative estimate of resilience for each setting based on landscape complexity and permeability, and 3) identifying...
Categories: Data;
Types: ArcGIS REST Map Service,
ArcGIS Service Definition,
Downloadable,
Map Service;
Tags: Connectivity,
Data,
LCC Network Science Catalog,
Local Connectivity,
NYS,
This data set is a 20ft resolution raster representing the percentage of LiDAR points which fall 1 to 3 meters above ground layer for the eastern 60 counties of North Carolina. This data was derived from the 2014 and 2015 QL2 LiDAR datasets collected by USGS and the North Carolina Department of Public Safety. This data was processed using Laszip software to compress the LAS data to LASZIP format, GDAL gdalbuildvirt was used to create county mosaics of 5ft resolution. For each county, the LAZ files were aggregated and processed using GRASS GIS version 7.2 svn 11/21/2016 , using r.in.lidar with the following options: r.in.lidar --o -d file=laslist.txt output=Countyname_20ft_ch method=n base_raster=Count_5ft_DEM z_range=9.84252,22.9659...
This data set is a 20ft resolution raster representing the percentage of LiDAR points which fall 1 to 3 feet above ground layer for the eastern 60 counties of North Carolina. This data was derived from the 2014 and 2015 QL2 LiDAR datasets collected by USGS and the North Carolina Department of Public Safety. This data was processed using Laszip software to compress the LAS data to LASZIP format, GDAL gdalbuildvirt was used to create county mosaics of 5ft resolution. For each county, the LAZ files were aggregated and processed using GRASS GIS version 7.2 svn 11/21/2016 , using r.in.lidar with the following options: r.in.lidar --o -d file=laslist.txt output=Countyname_20ft_ch method=n base_raster=Count_5ft_DEM z_range=1,3...
The primary objective of the research is to develop a rule-based decision support system to predict the relative vulnerability of nearshore species to climate change. The approach is designed to be applicable to fishes and invertebrates with limited data by predicting risk from readily avialable data, including species’ biogeographic distributions and natural history attributes. By evaluating multiple species and climate stressors, the approach allows an assessment of climate vulnerability acorss habitat types and the impact of specific climate alterations as well as their cumulative impact. A website with a rule-based application for rockfish and crabs is availalble at http://cbrat.org/.
The California Basin Characterization Model (CA-BCM 2014) dataset provides historical and projected climate and hydrologic surfaces for the region that encompasses the state of California and all the streams that flow into it (California hydrologic region ). The CA-BCM 2014 applies a monthly regional water-balance model to simulate hydrologic responses to climate at the spatial resolution of a 270-m grid. The model has been calibrated using a total of 159 relatively unimpaired watersheds for the California region. The historical data is based on 800m PRISM data spatially downscaled to 270 m using the gradient-inverse distance squared approach (GIDS), and the projected climate surfaces include five CMIP-3 (GFDL,...
Categories: Data;
Types: NetCDF OPeNDAP Service;
Tags: CMIP3,
CMIP3,
CMIP5,
CMIP5,
Downscaled Climate and Hydrologic Response for California and the Great Basin,
This data set is a 20ft resolution canopy height layer for the eastern 59 counties of North Carolina. This data was derived from the 2014 and 2015 QL2 LiDAR datasets collected by USGS and the North Carolina Department of Public Safety. This data was processed using Laszip software to compress the LAS data to LASZIP format, GDAL gdalbuildvirt was used to create county mosaics of 5ft resolution. For each county, the LAZ files were aggregated and processed using GRASS GIS version 7.2 svn 11/21/2016 , using r.in.lidar with the following options: r.in.lidar --o -d file=laslist.txt output=Countyname_20ft_ch method=max base_raster=Count_5ft_DEM z_range=0,250 class_filter=1,2,3,4,5,6,8,9,10,11,12,13,14,15,16,17,18 , see...
These files include downscaled projections of decadal average monthly snowfall equivalent ("SWE", in millimeters) for each month of the decades from 2010-2019 to 2090-2099 at 771 x 771 m spatial resolution. Each file represents a decadal average monthly mean. Output is available for the NCAR-CCSM4, GFDL-CM3, GISS-E2-R, IPSL-CM5A-LR, and MRI-CGCM3 models and three emissions scenarios (RCP 4.5, RCP 6.0 and RCP 8.5). Snow-fall equivalent estimates were produced by multiplying snow-day fraction ("fs") by decadal average monthly precipitation ("Pr"). (fs*Pr)/100 Snow-day fraction data used can be found here: http://ckan.snap.uaf.edu/dataset/projected-decadal-averages-of-monthly-snow-day-fraction-771m-cmip5-ar5 Precipitation...
This data set provides Daymet Version 3 model output data as gridded estimates of daily weather parameters for North America and Hawaii: including Canada, Mexico, the United States of America, Puerto Rico, and Bermuda. The island areas of Hawaii and Puerto Rico are available as files separate from the continental land mass. Daymet output variables include the following parameters: minimum temperature, maximum temperature, precipitation, shortwave radiation, vapor pressure, snow water equivalent, and day length. The data set covers the period from January 1, 1980 to December 31 of the most recent full calendar year. Each subsequent year is processed individually at the close of a calendar year. Daymet variables are...
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
NetCDF OPeNDAP Service,
Raster;
Tags: climate,
climatologyMeteorologyAtmosphere,
dataset,
service
This elevation data was obtained from the PRISM climate group, distributed by Climate Source. From personal communication with Wayne Gibson, it was "based off of GTOPO30 data, and then Barnes filtered to the desired resolution" Wayne Gibson PRISM Group Northwest Alliance for Computational Science & Engineering (NACSE) 2000 Kelley Engineering Center Oregon State University Corvallis, Oregon, 97331-5501 Oregon State University Voice: (541) 737-2531 http://www.prism.oregonstate.edu/ http://www.climatesource.com/ http://www1.gsi.go.jp/geowww/globalmap-gsi/gtopo30/gtopo30.html SNAP resampled the 2km product to the 1km model resolution through bilinear interpolation. Spatial resolution 1000 meters Credits The following...
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: IEM,
IEM-Output,
annual,
climate,
climatologyMeteorologyAtmosphere,
Large forest blocks are important features on the landscape and worthy of conservation attention. Maintenance of large blocks of intact habitat is perhaps the most oft recommended biodiversity conservation strategy. We created a map of large forest blocks by selecting all of the forest formations from the Ecological Systems dataset and converting this raster coverage into a polygon coverage using ArcMap. We then used the area function within the resulting attribute table to calculate areas of forest habitats across the state. Last, we classified them according to parameters originally developed by the Orange County Open Space Plan (Orange County Planning Department, 2004) and further utilized by Cornell University’s...
Categories: Data;
Types: ArcGIS REST Map Service,
ArcGIS Service Definition,
Downloadable,
Map Service;
Tags: Data,
LCC Network Science Catalog,
Large Forest Blocks,
Large Forest Blocks,
NYS,
This data set is a 20ft resolution canopy height layer for the eastern 59 counties of North Carolina. This data was derived from the 2014 and 2015 QL2 LiDAR datasets collected by USGS and the North Carolina Department of Public Safety. This data was processed using Laszip software to compress the LAS data to LASZIP format, GDAL gdalbuildvirt was used to create county mosaics of 5ft resolution. For each county, the LAZ files were aggregated and processed using GRASS GIS version 7.2 svn 11/21/2016 , using r.in.lidar with the following options: r.in.lidar --o -d file=laslist.txt output=Countyname_20ft_ch method=max base_raster=Count_5ft_DEM z_rnage=0,250 class_filter=1,2,3,4,5,6,8,9,10,11,12,13,14,15,16,17,18 , see...
This data set is a 20ft resolution binary forest nonforest layer for the eastern 59 counties of North Carolina. This data was derived from the 2014 and 2015 QL2 LiDAR datasets collected by USGS and the North Carolina Department of Public Safety. This data was processed using Laszip software to compress the LAS data to LASZIP format, GDAL gdalbuildvirt was used to create county mosaics of 5ft resolution. For each county, the LAZ files were aggregated and processed using GRASS GIS version 7.2 svn 11/21/2016 , using r.in.lidar with the following options: r.in.lidar --o -d file=laslist.txt output=Countyname_20ft_ch method=max base_raster=Count_5ft_DEM z_rnage=0,250 class_filter=1,2,3,4,5,6,8,9,10,11,12,13,14,15,16,17,18...
The California Basin Characterization Model (CA-BCM 2014) dataset provides historical and projected climate and hydrologic surfaces for the region that encompasses the state of California and all the streams that flow into it (California hydrologic region ). The CA-BCM 2014 applies a monthly regional water-balance model to simulate hydrologic responses to climate at the spatial resolution of a 270-m grid. The model has been calibrated using a total of 159 relatively unimpaired watersheds for the California region. The historical data is based on 800m PRISM data spatially downscaled to 270 m using the gradient-inverse distance squared approach (GIDS), and the projected climate surfaces include five CMIP-3 (GFDL,...
Categories: Data;
Types: NetCDF OPeNDAP Service;
Tags: CMIP3,
CMIP3,
CMIP5,
CMIP5,
Downscaled Climate and Hydrologic Response for California and the Great Basin,
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