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.
148
datasets available to search
ShareScore release 0.9.0
Dataset results
148 results for “Sample locations”
Site Location and Environmental Characteristics for 83 Locations of 6-163 Years Old Black Spruce, Alaska Paper Birch, and Aspen Stands Accoss Interior Alaska. Sampled in 2008-2010 and 2013-2015.
This dataset contains the GPS location, slope, orientation, elevation, forest type based on dominant tree biomass, Age, sampling year, total vascular cover, total lchen cover, deciduous index (Alexander et al. 2012, Ecosphere), basal area of black spruce, Alaska paper birch, trembling aspen, large deciduous shrubs and trembling aspen, organic layer depth, pH, heatload, approximated moisture class for all sites (Johnstone et al. 2008), gravimetric moisture content, and volumetric moisture content. This dataset was part of the site-level covariates used in a study of bryophyte post-fire succession in deciduous and coniferous successional trajectories. NOTE: there is some overlap between the >20 years old sites that were sampled by Heather Alexander with some of the data she submitted in relation to her 2012 Ecosphere paper.
Vegetation Data Collected with Point Frame for 83 Locations of 6-163 Years Old Black Spruce, Alaska Paper Birch, and Aspen Stands Across Interior Alaska. Sampled in 2008-2010 and 2013-2015.
This dataset contains point frame data for vegetation less than 1.3 m, including vascular plants, bryophytes, lichens, leaf litter and bare ground, as well as species codes used, as described in Jean et al. 2017 Canadian Journal of Forest Research. Samples of all encountered unknown species were collected for identification in the lab. Bryophyte nomenclature followed Anderson et al. (1990).
Bryophyte Cover Summary Data for 83 Locations of 6-163 Years Old Black Spruce, Alaska Paper Birch, and Aspen Stands Across Interior Alaska. Sampled in 2008-2010 and 2013-2015.
This dataset contains the summarized bryophyte (percent cover) data obtained from point frame measurements, as used in Jean et al. 2017 Canadian Journal of Forest Research. ?Samples of all encountered unknown species were collected for identification in the lab. Bryophyte nomenclature followed Anderson et al. (1990).
Aeolian dust weights sampled by BSNE collectors in 18 locations at the Jornada Basin LTER site, 1998-ongoing
This data package contains aeolian dust weights from BSNE collectors at 18 locations at the Jornada Basin LTER. Collections are obtained at the 15 NPP study locations, the Geomet location, Scrape study location (now known as GROWES study), and Pasture 13 Burn study location. The collectors are turned into the wind with wind vanes. The amount of material collected corresponds to the horizontal flux at the height of the collector and the opening area of the collector and the duration of the sampling time. The five heights of the BSNE collectors above the soil surface are 5, 10, 20, 50, and 100 centimeters for every location where samples are taken. The vertical flux of the particles smaller than 10 micrometers is assumed to be a constant ratio of the horizontal sand flux. The objectives of the study are to find patterns of sand flux rates as related to soil and vegetation. Site info: The NPP sites were established to estimate patterns of aboveground primary production. The Geomet site is within a mesquite-dune area that has had long-term protection from cattle grazing. The scrape site (now known as the GROWES site) was originally designed to measure the abrasion of surface crust. The Pasture 13 Burn site is located in a pasture that was originally burned in 1998. Contact the data manager for additional information and site locations. This data collection is ongoing with new data added quarterly.
Palmyra Atoll soil and/or wood density sampling locations used in the carbon storage analysis
This dataset provided soil and/or wood density sampling locations and values from Palmyra Atoll (2016 and 2019). Soil samples were extracted to measure organic carbon content associated with different vegetation communities in Palmyra. Wood samples were collected to measure basic wood density values for dominant woody vegetation types found in Palmyra to calculate aboveground carbon values.
Palmyra Atoll dissolved organic carbon sampling locations and values
This package provides data for Dissolved organic carbon (DOC) sampling locations and values. DOC was sampled at 12 sites to compare DOC export in native and non-native canopies Palmyra Atoll in 2019. Two samples were taken 50 m apart at each site. Three comparison samples were taken from surface waters offshore of the atoll, on the forereef, and from lagoon away from shore. Samples were processed and sent to a lab for analysis.
BSNE aeolian dust collector sample weights from the three ConMod Pilot study locations at Jornada Basin LTER, 2008-2016
This data package contains measurements of dust collected by BSNE collectors for the Connectivity Modifier (ConMod) Pilot study plots from 2008-2016 on the Jornada Experimental Range. There were 3 sites for this study: Gravelly Ridges, Aeolian, and Dona Ana. Within each site, there were 8 plots. The plots are 8 x 8 meters and have an 8 x 8 buffer zone on both sides of the plot (up and down). There are four BSNE (aeolian dust collector) stands for each plot, 2 in each of the 2 buffer zones (8 collectors per plot). Each stand contains 2 BSNE collectors at a 30cm height with the collection opening at 10cm x 2 cm wide x 5 cm height. These BSNE collectors are in a fixed position pointing into the direction of the prevailing wind, which corresponds to the plot alignment. The collectors in the upwind buffer are facing away from the plot and the collectors in the downwind buffer are facing into the plot. Upwind BSNEs collect the amount of dust entering the plot, and the downwind BSNEs collect the amount of dust moving off the plot. These collectors estimate the effectiveness of the plot surface in obstructing wind blown dust. This study is complete (finished in 2016) and was the pilot study to the newer Cross Scale Interactions Study.
GIS30 GIS Coverages Defining Sample Locations for Abiotic Datasets on Konza Prairie (1972-present)
These data show sample locations for various abiotic data collected on Konza Prairie (rain gauges, soil moisture, and stream data). Included in these data are the locations for 12 rain gauges (GIS300) on Konza Prairie. The Konza headquarters weather station formerly consisted of two gauges which were operated year-round. The Konza headquarters weather station currently consists of one Otto-Pluvio2 gauge which is operated year-round. The remaining Konza-operated gauges run from April 1 to November 1. These data are to be used in conjunction with the APT01 (precipitation) dataset. GIS305 defines the locations where measurements of soil moisture (%volume) are taken on Konza Prairie. These data are to be used in conjunction with the ASM01 (soil moisture) dataset. GIS309 defines the locations within watershed N4D of soil sampler nests. In Jan 2020, we separated the original GIS310 file 'Wells in N4D' into GIS310 'Wells in N4D' and GIS309 'Soil Sampler Nests'. Prior to then, soil sampler nests and wells were combined in GIS310. GIS310 defines the locations within watershed N4D where samples are taken for analyzing the belowground water chemistry of the watershed. These data are to be used in conjunction with the AGW01 dataset. GIS311 defines the locations of 14 wells at two sites along Kings Creek. Depth and nutrient content of groundwater is measured at these sites. These data are to be used in conjunction with the AGW02 dataset. GIS315 defines the locations of stream sampling stations within multiple Konza watersheds. These data are to be used in conjunction with the NWC, ASS, ASD, and ASW datasets. GIS320 defines the locations of the rainfall collectors used to collect the samples analyzed as a part of the National Atmospheric Deposition Program. These data are to be used in conjunction with the ANA01 dataset. These data are available to download as zipped shapefiles (.zip), compressed Google Earth KML layers (.kmz).
GIS35 GIS Coverages Defining Sample Locations for Belowground Datasets on Konza Prairie (1982-present)
These data show the locations of research conducted at the below ground plots near Konza Headquarters. Record type 1 (GIS350) describes the 64 belowground plots receiving a variety of nutrient, burn, and mowing treatments. Data for BMS01, BMS02, and BNS01 are collected on these plots. Record type 6 (GIS355) describes the locations of the Micro-Rhizotrons. Two spatial datasets lie on the belowground plots, but are classified separately. These are the Lysimeters on belowground plots (GIS455) and Aboveground biomass on belowground plots (GIS505) datasets. GIS505 may be used alongside the BGPVC dataset, because it shares sample locations with PBB01. These data are available to download as zipped shapefiles (.zip), compressed Google Earth KML layers (.kmz), and associated EML metadata (.xml).
GIS40 GIS Coverages Defining the Sample Locations of Konza Consumer Data (1982-present)
These data show the sampling locations for the consumer datasets at Konza Prairie. GIS400 defines the starting points for sweep samples of grasshoppers across Konza Prairie. These data may be used in conjunction with the sweep sample datasets (CGR02). GIS401 defines the starting points for sweep samples of grasshoppers across Konza Prairie, focusing on grazing impact. These data may be used in conjunction with the sweep sample datasets (CGR02Z). GIS405 defines the trap locations for small mammal sampling across Konza Prairie. These data may be used in conjunction with CSM0X. GIS 406 defines the locations of small mammal host parasite sampling at Konza Prairie. These data may be used in conjunction with CSM08. GIS410 defines the stream stretches for fish sampling across Konza Prairie. These data may be used in conjunction with CFC01. These data are available to download as zipped shapefiles (.zip), compressed Google Earth KML layers (.kmz), and associated EML metadata (.xml).
GIS45 GIS Coverages Defining the Konza Nutrient Data Sample Locations (1982-present)
These data show the sample locations for soil bulk density and chemical characteristics along LTER vegetation plots. This dataset contains the transect lines (GIS450) and sample locations(GIS451) at which the soil cores are sampled. These data may be used in conjunction with the Soil Chemistry and Bulk Density (NSC01) datasets. GIS455 contains the locations of the lysimeters used to measure soil water chemistry on the belowground plots. These data may be used in conjunction with the NBS01 dataset. GIS460 contains the locations of the bulk precipitation collectors on Konza Prairie. These data may be used in conjunction with the NBP01 dataset. These data are available to download as zipped shapefiles (.zip), compressed Google Earth KML layers (.kmz), and associated EML metadata (.xml).
GIS50 Coverages Defining the Konza Producer Data Sample Locations (1982-present)
These data show the sample locations for datasets pertaining to primary production at Konza Prairie. These data reference various treatments across Konza including varying burn frequencies, belowground plots, patch burn, exclosures, etc.Record type one (GIS500) contains sample locations for estimated standing crop biomass in various burning-grazing treatments (PABXX). Record type six (GIS505) contains sample locations for peak foliage biomass measured at the belowground plot experiments (PBBXX).Record type 11 and 12 contain the transect (GIS510) and plot (GIS511) locations for plots in the patch-burn experiments (PBGXX). Record type 16 (GIS515) contains the locations of exclosures used to sample primary productivity in bison grazed watersheds (PEB01). Record type 21 (GIS520) contains the locations of exclosures used to sample primary productivity in cattle grazed watersheds (PEB01X). Record type 26 (GIS525) contains the locations of sample sites for litterfall (PGLXX) collectors in the gallery forest. Record type 31 (GIS530) contains species composition transects, and (GIS531) provides locations for species transect plots in the patch-burn experiments for Konza Prairie. These data may be used in conjunction species composition (PVC01 and PVC02), primary production in grazing exclosures (PEB01, PEB01_X), soil chemistry and bulk density (NSC01) and primary production (PAB01). These data are available to download as zipped shapefiles (.zip), compressed Google Earth KML layers (.kmz).
CSM08 Small mammal host-parasite sampling data for 16 linear trapping transects located in 8 LTER burn treatment watersheds at Konza Prairie
Data set contains summaries (summer) of the number of individuals of each species of small mammal captured (relative abundance) on each transect. Each record contains date, treatment, transect, trap station, species, specimen number, recapture status, specimen disposition, external body measurements (where applicable), reproductive information, and miscellaneous associated comments. These sampling records are based on nightly captures during one 4-night trapping period in summer (June through August) for each of 16 permanent transects established on eight fire treatments (two transects per treatment). These treatments include two seasonal burn watersheds (SpB, SuB), two reversal burn watersheds (R1A, R20A), one annual burn watershed (1D), two 4-year burn watersheds (4B, 4F, and one 20-year burn watershed (20B). None of these treatments implement bison grazing.
Plot descriptions and location data from datalogger, 1m x 1m chamber flux and point frame plots sampled near Toolik Field Station in Alaska the summer of 2012.
"2012_GS_PFandCH_GPS" contains GPS locations of all datalogger, 1m x 1m chamber flux and point frame plots sampled IVO Toolik Field Station in Alaska during the summer of 2012. The sorting variables (YEAR, DATE, SITE, GROUP, PLOT, TREAT, PLOT SIZE) are identical to those in other files with data collected that season. The main purpose of this file is for reference and as an aid in interpretation of data analyses and among-site comparisons.
Coweeta LTER Synoptic Data from 56 sampling sites located in the Upper Little Tennessee River Basin from 2009 (geomorphological)
Coweeta LTER researchers sampled fifty-eight stream sites in the Upper Little Tennessee River Basin in February and June of 2009. Sites were selected to represent the range of land cover and land use within the basin. Samples were taken over three days of stable weather and discharge during periods of baseflow. They were used to characterize conditions across the basin during the growing and the non-growing seasons without the influence of elevated discharge. Each entity represents a table found in the downloadable relational database. NOTE: There is only 1 database to download regardless of which entity you choose. A whitepaper on the Synoptic field sampling activites can be found at: http://coweeta.uga.edu/publications/white%20paper%20summary%20of%20synoptic%20sampling.pdf
Weekly grab samples and manual specific conductivity, temperature, and turbidity measurements of streams at the LTER intensive and hillslope sites located in Macon County, North Carolina, within the Little Tennessee River Basin
Weekly grab samples and manual specific conductivity, temperature, and turbidity measurements were taken at 21 streams and rivers in Macon County, NC. Nine intensive sites were monitored weekly in 2010-2011, nine hillslope sites were monitored biweekly in 2012-2013, and three river sites were monitored weekly in 2010-2011 and biweekly in 2012-2013. Data from a brief study of three streams at the Buck Creek Pine Barrens in Clay County, NC, also was completed, as well as one grab sample at Porters Creek, Mountain View Intermediate School. Water samples were analyzed for chemistry at the Coweeta Analytical Lab. Specific conductivity and temperature data were collected using a YSI 30 handheld conductivity meter. Turbidity data were collected using a Hach 2100P turbidimeter.
PIE LTER site names and locations associated with synoptically sampled study sites within the Parker and Ipswich watersheds, Massachusetts.
Data set of locations and drainage areas of locations within the Ipswich and Parker Rivers in Massachusetts that have been sampled between December 1998 and July 2017 by MBL, UNH and/or members of the Ipswich and Parker River.watershed associations. Watershed synoptic nutrient file associated with WAT-UNH-IPPR-Synoptic-Sites file can be found in WAT-UNH-IPPR-Synoptic file.
Рис. 1. Карто-схема реки БоΛьшая Пёра с указанием мест отбора проб (обозначены кружками) Fig. 1. Maps of the Bolshaya Pyora River with sampling locations (marked by circles) in The Taxonomic Composition And Quantitative Indicators Of Zoobenthos In The Downstream Of The Bolshaya Pyora River (Zeya River Basin, Amur Region)
Рис. 1. Карто-схема реки БоΛьшая Пёра с указанием мест отбора проб (обозначены кружками) Fig. 1. Maps of the Bolshaya Pyora River with sampling locations (marked by circles)
Рис. 1. Карта-схема распоΛожения станций отбора проб на р. Амазар Fig.1. Location of sampling stations on the Amazar River in Species Composition And Quantitative Indicators Of Rotifers And Crustaceans In The Middle And Lower Streams Of The Amazar River (Zabaikalskiy Kray)
Рис. 1. Карта-схема распоΛожения станций отбора проб на р. Амазар Fig.1. Location of sampling stations on the Amazar River
Рис. 1. РаспоΛожение стационаров вбΛизи насеΛенных пунктов, в окрестностях которых собираΛись воΑные и почвенные пробы: 1 —ЗакатаΛа (41.755469 N, 46.658248 E; 2 — ИсмаиΛΛы (40.971043 N, 48.133806 E; 3 — ПиргуΛи (40.868328 N, 48.599481 E); 4 — АΛтыагач (40.942707 N, 49.027354 E); 5 — Шемаха (40.742370 N, 48.639842 E); 6 — Куба (41.424798 N, 48.487536 E) Fig 1. Location of Permanent Sampling Points near the settlements in the vicinity of which water and soil samples were collected: 1 — Zagatala (41.755469 N, 46.658248 E; 2 — Ismayilli (40.971043 N, 48.133806 E; 3 — Pirguli (40.868328 N, 48.599481 E); 4 — Altiagach (40.942707 N, 49.027354 E); 5 — Shemakha (40.742370 N, 48.639842 E); 6 — Сuba (41.424798 N, 48.487536 E) in Ciliates of fresh waters and soils of the Greater Caucasus (within Azerbaijan)
Рис. 1. РаспоΛожение стационаров вбΛизи насеΛенных пунктов, в окрестностях которых собираΛись воΑные и почвенные пробы: 1 —ЗакатаΛа (41.755469 N, 46.658248 E; 2 — ИсмаиΛΛы (40.971043 N, 48.133806 E; 3 — ПиргуΛи (40.868328 N, 48.599481 E); 4 — АΛтыагач (40.942707 N, 49.027354 E); 5 — Шемаха (40.742370 N, 48.639842 E); 6 — Куба (41.424798 N, 48.487536 E) Fig 1. Location of Permanent Sampling Points near the settlements in the vicinity of which water and soil samples were collected: 1 — Zagatala (41.755469 N, 46.658248 E; 2 — Ismayilli (40.971043 N, 48.133806 E; 3 — Pirguli (40.868328 N, 48.599481 E); 4 — Altiagach (40.942707 N, 49.027354 E); 5 — Shemakha (40.742370 N, 48.639842 E); 6 — Сuba (41.424798 N, 48.487536 E)
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.