Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
22,549
datasets available to search
ShareScore release 0.9.0
Dataset results
22,549 results for “AND LTER”
30m Digital Elevation Model Shaded Relief From National Elevation Dataset, Niwot Ridge LTER Project Area, Colorado
The U.S. Geological Survey has developed a National Elevation Dataset (NED). The NED is a seamless mosaic of best-available elevation data. The 7.5-minute elevation data for the conterminous United States are the primary initial source data. In addition to the availability of complete 7.5-minute data, efficient processing methods were developed to filter production artifacts in the existing data, convert to the NAD83 datum, edge-match, and fill slivers of missing data at quadrangle seams. One of the effects of the NED processing steps is a much-improved base of elevation data for calculating slope and hydrologic derivatives. The specifications for the NED 1 arc second and 1/3 arc second data are: Geographic coordinate system Horizontal datum of NAD83, except for AK which is NAD27 Vertical datum of NAVD88, except for AK which is NAVD29 Z units of meters. NOTE: This EML metadata file does not contain important geospatial data processing information. Before using any NWT LTER geospatial data read the arcgis metadata XML file in either ISO or FGDC compliant format, using ArcGIS software (ArcCatalog > description), or by viewing the .xml file provided with the geospatial dataset.
Snow-Off Digital Terrain Model (DTM) shaded relief from 2010 LiDAR Niwot Ridge LTER Project Area, Colorado
Citation: Anderson, S.P., Qinghua, G., and Parrish, E.G., 2012, Snow-on and snow-off LiDAR point cloud data and digital elevation models for study of topography, snow, ecosystems, and environmental change at Boulder Creek Critical Zone Observatory, Colorado: Boulder Creek CZO, INSTAAR, University of Colorado at Boulder, digital media. This 1m Digital Terrain Model (DTM) shaded relief is a snow-off DTM derived from bare-ground Light Detection and Ranging (LiDAR) point cloud data from August 2010 for the Boulder Creek Critical Zone Observatory (CZO), near Boulder Colorado. This dataset is better suited for derived layers such as slope angle, aspect, and contours. The DTM was created from 1,375 LiDAR point cloud tiles subsampled from 10 points/m2 to 1-meter postings, acquired by the National Center for Airborne Laser Mapping (NCALM) project. This data was collected in collaboration between the Boulder Creek CZO and NCALM, both funded by the National Science Foundation (NSF). The DTM has the functionality of a map layer for use in Geographic Information Systems (GIS) or remote sensing software. Total area imaged is 598.92 km^2. The LiDAR point cloud data was acquired with an Optech Gemini Airborne Laser Terrain Mapper (ALTM) and mounted in a Piper Twin PA-31 Chieftain with Inertial Measurement Unit (IMU) at a flying height of 600 m. Data from four GPS (Global Positioning System) ground stations were used for aircraft trajectory determination. The continuous DTM surface was created by mosaicing and then kriging 0.5 x 1 km LiDAR point cloud LAS-formated tiles using Golden Software's Surfer 8 Kriging algorithm. Horizontal accuracy is at least, but usually better than, 11 cm RMSE at 1 sigma and vertical accuracy is 5-30 cm RMSE at 1 sigma. The layer is available in IMAGINE format approx. 4 GB of data. It has a UTM zone 13 projection, with a NAD83 horizonal datum and a NAVD88 vertical datum, with FGDC-compliant metadata. A shaded relief model was also generated. A similar la
1:10,000 Soils, Niwot Ridge LTER Project Area, Colorado
Soils data digitized from 1:10,000 soils maps for most of length of Niwot Ridge. Source maps and soil classifications taken from Scott Burns' doctoral dissertation (Burns 1980). NOTE: This EML metadata file does not contain important geospatial data processing information. Before using any NWT LTER geospatial data read the ArcGIS metadata XML file in either ISO or FGDC compliant format using ArcGIS software or by viewing the .xml file provided with the geospatial dataset.
2010 Snow Survey for Green Lakes Valley, Niwot Ridge LTER, Colorado
Yearly snow surveys were conducted in the Green Lakes Valley in the City of Boulder Watershed at the estimated peak of snowpack in late spring. Over a period of several days, surveying teams (1 to several people) traversed valley slopes measuring snow depth with avalanche probes. Locations of each depth measurement were recorded as waypoints in Garmin hand-held GPS units (eTrex Legend and eTrex Legend H models). Snow depths were recorded on standardized field sheets along with dates, recorder names, waypoint numbers, and comments. GPS locations were downloaded as text files from Garmin units using Topo! software, specifying NAD83 for surveys conducted after 2009. Download files contained waypoint number, latitude, longitude, date, and elevation. Each file was imported into a Microsoft Excel spreadsheet and snow depths corresponding to waypoints were entered manually from field sheets. Shapefiles were constructed in ArcInfo/ArcGIS from dbf files generated either directly from Excel spreadsheets (before 2008) or after importing into Microsoft Access and then exporting as dbfs. All shapefiles are provided in a UTM zone 13 projection and NAD83 horizontal datum. NOTE: This EML metadata file does not contain important geospatial data processing information. Before using any NWT LTER geospatial data read the arcgis metadata XML file in either ISO or FGDC compliant format, using ArcGIS software (ArcCatalog > description), or by viewing the .xml file provided with the geospatial dataset.
2011 Snow Survey for Green Lakes Valley, Niwot Ridge LTER, Colorado
Yearly snow surveys were conducted in the Green Lakes Valley in the City of Boulder Watershed at the estimated peak of snowpack in late spring. Over a period of several days, surveying teams (1 to several people) traversed valley slopes measuring snow depth with avalanche probes. Locations of each depth measurement were recorded as waypoints in Garmin hand-held GPS units (eTrex Legend and eTrex Legend H models). Snow depths were recorded on standardized field sheets along with dates, recorder names, waypoint numbers, and comments. GPS locations were downloaded as text files from Garmin units using Topo! software, specifying NAD83 for surveys conducted after 2009. Download files contained waypoint number, latitude, longitude, date, and elevation. Each file was imported into a Microsoft Excel spreadsheet and snow depths corresponding to waypoints were entered manually from field sheets. Shapefiles were constructed in ArcInfo/ArcGIS from dbf files generated either directly from Excel spreadsheets (before 2008) or after importing into Microsoft Access and then exporting as dbfs. All shapefiles are provided in a UTM zone 13 projection and NAD83 horizontal datum. NOTE: This EML metadata file does not contain important geospatial data processing information. Before using any NWT LTER geospatial data read the arcgis metadata XML file in either ISO or FGDC compliant format, using ArcGIS software (ArcCatalog > description), or by viewing the .xml file provided with the geospatial dataset.
2012 Snow Survey for Green Lakes Valley, Niwot Ridge LTER, Colorado
Yearly snow surveys were conducted in the Green Lakes Valley in the City of Boulder Watershed at the estimated peak of snowpack in late spring. Over a period of several days, surveying teams (1 to several people) traversed valley slopes measuring snow depth with avalanche probes. Locations of each depth measurement were recorded as waypoints in Garmin hand-held GPS units (eTrex Legend and eTrex Legend H models). Snow depths were recorded on standardized field sheets along with dates, recorder names, waypoint numbers, and comments. GPS locations were downloaded as text files from Garmin units using Topo! software, specifying NAD83 for surveys conducted after 2009. Download files contained waypoint number, latitude, longitude, date, and elevation. Each file was imported into a Microsoft Excel spreadsheet and snow depths corresponding to waypoints were entered manually from field sheets. Shapefiles were constructed in ArcInfo/ArcGIS from dbf files generated either directly from Excel spreadsheets (before 2008) or after importing into Microsoft Access and then exporting as dbfs. All shapefiles are provided in a UTM zone 13 projection and NAD83 horizontal datum. NOTE: This EML metadata file does not contain important geospatial data processing information. Before using any NWT LTER geospatial data read the arcgis metadata XML file in either ISO or FGDC compliant format, using ArcGIS software (ArcCatalog > description), or by viewing the .xml file provided with the geospatial dataset.
Stable isotope composition (d18O) of seawater from stations in the Palmer LTER Study Site
The west Antarctic Peninsula (WAP) is a region of marked climatic variability, exhibiting strong changes in sea ice extent, retreat of the majority of its glaciers, and shifts in the amount and form of precipitation. These changes can have significant impacts on the oceanic freshwater budget and marine biogeochemical processes; it is thus important to ascertain the relative balance of the drivers, and the spatial scales over which they operate. We present a new 7-year summer-season (October to March; 2011 to 2018) series of oxygen isotopes in seawater (δ18O), augmented with some winter sampling, collected adjacent to Anvers Island at the WAP. These data are used to attribute oceanic freshwater changes to sea ice and meteoric sources, and to deduce information on the spatial scales over which the changes are driven. Sea ice melt shows strong seasonality (~9% range) and marked interannual changes, with pronounced maxima in seasons 2013/14 and 2016/17. Both of these extrema are driven by anomalous winds, but reflect strongly contrasting dynamic and thermodynamic sea ice responses. Meteoric water also shows marked seasonality (~7% range), with interannual variability reflecting changes in the input of accumulated precipitation and glacial melt to the ocean. Unlike sea ice melt, meteoric water extremes are especially pronounced in thin (<10m) surface layers close to Marr Ice Piedmont, associated with enhanced ocean stratification. Isotopic tracers help to deconvolve the complex spatio-temporal scales inherent in the coastal freshwater budget, and hence improve knowledge of the separate and cumulative physical and ecological impacts.
PIE LTER eddy flux measurements during 2013 from second high marsh site (Spartina patens/short Spartina alterniflora) Tall Tower off Nelson Island Creek, Rowley, Massachusetts
We deployed an eddy covariance system to measure ecosystem-atmosphere exchange of CO2 above a high marsh system (Spartina patens, short Spartina alterniflora) located on the Parker River Wildlife Refuge in marshes of Plum Island Sound, Rowley MA. The system is located near a higher elevation rock outcroppingprotected area which allows the tower set up to remain during the Winter as it is protected from ice flows. The data represents CO2 exchange for all 12 months of 2013.
PIE LTER high marsh sediment chemistry and activity measurements, Nelson Island Creek marsh, Rowley, MA
Salt marsh sediment CHN, bulk density and gamma emission data from sediment cores are provided for calculation of high marsh sediment accumulation and accretion rates in sediments collected during the Fall of 2014 in the Nelson Island Creek marsh, off Stackyard Rd., Rowley, MA.
PIE LTER eddy flux measurements during 2014 from second high marsh site (Spartina patens/short Spartina alterniflora) Tall Tower off Nelson Island Creek, Rowley, Massachusetts
We deployed an eddy covariance system to measure ecosystem-atmosphere exchange of CO2 above a high marsh system (Spartina patens, short Spartina alterniflora) located on the Parker River Wildlife Refuge in marshes of Plum Island Sound, Rowley MA. The system is located near a higher elevation rock outcroppingprotected area which allows the tower set up to remain during the Winter as it is protected from ice flows. The data represents CO2 exchange for all 12 months of 2014.
PIE LTER year 2012, 5 minute and 15 minute measurements of conductivity, water temperature in a small headwater stream draining draining a mainly forested catchment (55% forest + 19% wetland), Cart Cr., Newbury, MA.
Year 2012, continuous measurements every 5 minutes during the first deployment and then 15 minutes for the remainder of the year, were made of conductivity, water temperature in Cart Creek, Newbury, MA, a small headwater stream draining a mainly forested catchment (55% forest + 19% wetland) in the Parker River watershed.
PIE LTER year 2013, 15 minute measurements of conductivity, water temperature in a small headwater stream draining draining a mainly forested catchment (55% forest + 19% wetland), Cart Cr., Newbury, MA.
Year 2013, continuous measurements every 15 minutes were made of conductivity, water temperature in Cart Creek, Newbury, MA, a small headwater stream draining a mainly forested catchment (55% forest + 19% wetland) in the Parker River watershed.
PIE LTER Land Cover (2005), Plum Island Sound estuary, Massachusetts - Raster
This is a seven-category land-cover map of the Plum Island Sound estuary, Massachusetts. The seven categories are: water, tidal flats and soils, Spartina alterniflora, Spartina patens, trees, grass, impervious surface. These medium resolution true color images are considered the new "basemap" for the Commonwealth by MassGIS. The photography for the entire commonwealth was captured in April 2005 when deciduous trees were mostly bare and the ground was generally free of snow. Image type is 4-band (RGBN) natural color (Red, Green, Blue) and Near infrared in 8 bits (values ranging 0-255) per band format.
PIE LTER Land Cover (2013), Plum Island Sound estuary, Massachusetts - Raster
This is a seven-category land-cover map of the Plum Island Sound estuary, Massachusetts. The seven categories are: water, tidal flats and soils, Spartina alterniflora, Spartina patens, trees, grass, impervious surface. These medium resolution true color images are considered the new "basemap" for the Commonwealth by MassGIS. The photography for the entire commonwealth was captured in April 2013 when deciduous trees were mostly bare and the ground was generally free of snow. Image type is 4-band (RGBN) natural color (Red, Green, Blue) and Near infrared in 8 bits (values ranging 0-255) per band format.
PIE LTER Water Network (2005), Plum Island Sound estuary, Massachusetts - Vector
Fine scale DEM was generated by using Terrasolid’s TerraScan Lidar processing software, based on airborne LiDAR data collected on April 19th to 25th, 2005; then a toolbox ArcHydro in the software ArcGIS is used to extract stream network from the DEM data.
SBC LTER: Beach: Dynamics of intertidal wrack consumer distributions on an SBC Beach
Distribution of Intertidal Wrack Consumer Beds Over Time Zonation of intertidal biota on sandy beaches is extremely dynamic and challenging to model due to the unstable nature of the sandy substrate and the high mobility of the biota. Distributions of these biota can shift strongly with tides, wave runup, storms, and beach conditions on a variety of temporal scales. High frequency measurements of the positions of intertidal beds of a mid and an upper shore invertebrate species, including wrack consuming talitrid amphipods (Megalorchestia spp) and a deposit feeding polychaete (Euzonus mucronata), were conducted on an SBC study beach, West Isla Vista, for one year.
SGS-LTER Standard Met Data: 1971-2010 Manually Collected Soil Temperature Data in English Units on the Central Plains Experimental Range, Nunn, Colorado, USA 1971-2008, ARS Study Number 4
This data package was produced by researchers working on the Shortgrass Steppe Long Term Ecological Research (SGS-LTER) Project, administered at Colorado State University. Long-term datasets and background information (proposals, reports, photographs, etc.) on the SGS-LTER project are contained in a comprehensive project collection within the Digital Collections of Colorado (http://digitool.library.colostate.edu/R/?func=collections&collection_id=3429). The data table and associated metadata document, which is generated in Ecological Metadata Language, may be available through other repositories serving the ecological research community and represent components of the larger SGS-LTER project collection. The objective of this study is to collect baseline meteorological data for the CPER. Datasets auto12_climdb and man11_climdb have been processed for quality and missing values. Additional information and referenced materials can be found: http://hdl.handle.net/10217/82446.
SGS-LTER Long-Term Monitoring Project: Body weights of rodents captured during SGS-LTER live-trapping on the Central Plains Experimental Range, Nunn, Colorado, USA 1994 -2011, ARS Study Number 118
This data package was produced by researchers working on the Shortgrass Steppe Long Term Ecological Research (SGS-LTER) Project, administered at Colorado State University. Long-term datasets and background information (proposals, reports, photographs, etc.) on the SGS-LTER project are contained in a comprehensive project collection within the Digital Collections of Colorado (http://digitool.library.colostate.edu/R/?func=collections&collection_id=3429). The data table and associated metadata document, which is generated in Ecological Metadata Language, may be available through other repositories serving the ecological research community and represent components of the larger SGS-LTER project collection. Additional information and referenced materials can be found: http://hdl.handle.net/10217/83452. Body size is a fundamental biological measurement that is known to be related to an organism's physiology, life-history and ecology. Estimates of body size are also widely used in comparative evolutionary and ecological studies, including food web and diet studies that require estimates of biomass. Beginning in 1994, small mammals are live-trapped twice each year on the three grassland and three shrubland trapping webs. Individuals are weighed (to nearest 0.5 g using a Pesola spring scale) when first captured during a given trapping session but not upon recapture during the same session. Weights are calculated by subtracting the weight of an empty capture (ziploc) bag from the weight of animal in the bag. Individuals are classified into age classes (adult, subadult, juvenile) in the field based on a combination of size and pelage characteristics. This dataset gives means, standard deviations, minimum and maximum values for body weight, in grams, of small mammals captured between September 1994 and September 2008. All sites and sampling periods were combined. Most individuals (~93%) were classified as new captures, although a few individuals that were captured multiple time
SGS-LTER CO2 Elevation Study: Gas exchange of the major species measured at chamber CO2 concentrations in Open Top Chambers on the Central Plains Experimental Range, Nunn, Colorado, USA 1997 - 2001
This data package was produced by researchers working on the Shortgrass Steppe Long Term Ecological Research (SGS-LTER) Project, administered at Colorado State University. Long-term datasets and background information (proposals, reports, photographs, etc.) on the SGS-LTER project are contained in a comprehensive project collection within the Digital Collections of Colorado (http://digitool.library.colostate.edu/R/?func=collections&collection_id=3429). The data table and associated metadata document, which is generated in Ecological Metadata Language, may be available through other repositories serving the ecological research community and represent components of the larger SGS-LTER project collection. Additional information and referenced materials can be found: http://hdl.handle.net/10217/82454. Single leaf gas exchange (CO2 & H2O) was measured several times per season on important grass species in the shortgrass steppe open-top-chamber experiment, to investigate physiological adaptations to elevated CO2. C3 grass displayed photosynthetic acclimation, while C4 grass did not. Leaf water-use-efficiency was improved under ECO2. Absolute assimilation rates were more dependent on soil and plant water status than on CO2. This research was conducted at the Central Plains Experimental Range, near Nunn, CO; lat.40degrees 40 minutes N; long. 104 degrees 45 minutes W in the shortgrass steppe region of NE Colorado, USA and as a collaboration between SGS-LTER and USDA-ARS researchers.
SGS-LTER CO2 Elevation Study: Leaf water potential, measured with a pressure chamber, from the Open Top Chamber experiment on the Central Plains Experimental Range, Nunn, Colorado, USA 1997 - 2001
This data package was produced by researchers working on the Shortgrass Steppe Long Term Ecological Research (SGS-LTER) Project, administered at Colorado State University. Long-term datasets and background information (proposals, reports, photographs, etc.) on the SGS-LTER project are contained in a comprehensive project collection within the Digital Collections of Colorado (http://digitool.library.colostate.edu/R/?func=collections&collection_id=3429). The data table and associated metadata document, which is generated in Ecological Metadata Language, may be available through other repositories serving the ecological research community and represent components of the larger SGS-LTER project collection. Additional information and referenced materials can be found: http://hdl.handle.net/10217/82454. Leaf water potential of the three major grass species in ambient, elevated open-top-chambers and unchambered controls, was measured nearly weekly, from 1997-2001 using a Scholander-type pressure chamber. Water potential was improved under elevated CO2, very consistently and in all species. This research was conducted at the Central Plains Experimental Range, near Nunn, CO; lat.40degrees 40 minutes N; long. 104 degrees 45 minutes W in the shortgrass steppe region of NE Colorado, USA and as a collaboration between SGS-LTER and USDA-ARS researchers.
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.