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.
322
datasets available to search
ShareScore release 0.9.0
Dataset results
322 results for “Census”
Supplementary material 1 from: Seropian A, Arsenashvili E, Bulbulashvili N, Shubashishvili A, Iankoshvili G, Todua M, Ananiashvili A, Japarashvili S, Chkhartisvhili T, Memishishi A, Balkhamishvili S, Chitadze B, Karalashvili E, Mumladze L, Hein N, Rulik B (2023) Into the unknown: the first barcode-assisted checklist of Psocoptera (Insecta, Psocodea) of Georgia with a census on country species richness. ZooKeys 1168: 77-105. https://doi.org/10.3897/zookeys.1168.103666
Details for sampling locations
Figure 4 in Visual census, photographic records and the trial of a video network provide first evidence of the elusive Sicyopterus cynocephalus in Australia
Figure 4. – Cumulative number of Sicyopterus spp. in view at any one time during the recording period across the ten cameras (i.e. NetworkN) deployed on 18 September, 2014.
Figure 2 in Visual census, photographic records and the trial of a video network provide first evidence of the elusive Sicyopterus cynocephalus in Australia
Figure 2. – Benthic habitat use and appearance of select species. A: Brown morph of male Sicyopterus cynocephalus as seen in the plunge pool initially on the first visit (however, this image was obtained in the Solomon Islands), with all other images captured from the study site; B: White morph of a large (~180 mm TL) male S. cynocephalus grazing; C: Another large male (~200 mm TL) at the front of the crevice that it consistently occupied during active searches by researchers; D: A female S. cynocephalus in a crevice; E: S. lagocephalus in a small cave/crevice; F: A freshwater crab occupying a crevice. All images photographed with a Canon G10 still camera. Date of photographs. A: September 2015; B-E: 30 June, 2014; F: 18 September, 2014.
Figure 3 in Visual census, photographic records and the trial of a video network provide first evidence of the elusive Sicyopterus cynocephalus in Australia
Figure 3. – Number of Sicyopterus spp. observed at a second-by-second reso- lution on each of ten video cameras (a-j) based on a one-hour deployment in the field on 18 September, 2014.
Figure 1. – Study site. A in Visual census, photographic records and the trial of a video network provide first evidence of the elusive Sicyopterus cynocephalus in Australia
Figure 1. – Study site. A: Waterfall and bedrock section of stream immediately upstream of the plunge pool; B: Upper section of the plunge pool; C: Lower section of the plunge pool. All photographs taken from the right stream bank, and note that there is an underwater cave underneath the slab of rock upon which the photographer was standing.
Data from: A critical assessment of estimating census population size from genetic population size (or vice versa) in three fishes
Open the record for dataset details and reuse information.
Data from: Allometry of animal-microbe interactions and global census of animal-associated microbes
Open the record for dataset details and reuse information.
Census data of growth, mortality and size stage transitions of nests of leaf-cutting ant species before and after fires
Open the record for dataset details and reuse information.
Drones, automatic counting tools and artificial neural networks in wildlife population censusing
Open the record for dataset details and reuse information.
Data from: Census parcels cropping system classification from multitemporal remote imagery: a proposed universal methodology
Open the record for dataset details and reuse information.
Data from: Effective number of breeders, effective population size and their relationship with census size in an iteroparous species, Salvelinus fontinalis
Open the record for dataset details and reuse information.
Data from: Genetic versus census estimators of the opportunity for sexual selection in the wild
Open the record for dataset details and reuse information.
At-sea seabird censuses. Data on the species encountered (including marine mammals), their abundance, distribution and behavior. Data collected aboard cruises off the coast of the Western Antarctic Penninsula, 1993 - present.
The objectives of the LTER seabird component during the 92-93 season cruises were similar. These objectives included 1) determining the pelagic abundance and distribution of Adelie Penguins, 2) examining how the physical and biological characteristics of the marine environment influence these parameters and, 3) using these data to identify foraging areas that may be important to Adelie populations being studied as part of land-based work at Palmer Station. Secondary objectives included documenting the abundance and distribution of other seabirds and marine mammals within the LTER study area. The focus of the January cruise was the nearshore foraging habitat,which required sampling at smaller scales. All seabird censuses were thus conducted within approximately 100 kms of Palmer Station while traversing a sampling grid with stations at 10km intervals. The first two days (18-20 January) of this cruise were spent covering the selected grid as rapidly as possible resulting in 45 transects spaced at 45-60 minute intervals. There were no stops at the 10km stations during this Fast Grid phase. Upon completion of the Fast Grid, a force 12 gale suspended data collection for 24 hours. From January 22-25 the grid direction was reversed and the grid repeated. During this Slow Grid phase, 2-M net tows were done at 10km intervals and BOPS and 1-M and 2-M net tows every 20 km. All seabird censusesduring the cruise were done using the procedures outlined in theprevious paragraph.
At-sea seabird censuses. Data on the species encountered (including marine mammals), their abundance, distribution and behavior. Data collected aboard cruises off the coast of the Western Antarctic Penninsula, 1993, 1999 and 2001.
The objectives of the LTER seabird component during the 92-93 season cruises were similar. These objectives included 1) determining the pelagic abundance and distribution of Adelie Penguins, 2) examining how the physical and biological characteristics of the marine environment influence these parameters and, 3) using these data to identify foraging areas that may be important to Adelie populations being studied as part of land-based work at Palmer Station. Secondary objectives included documenting the abundance and distribution of other seabirds and marine mammals within the LTER study area. The focus of the January cruise was the nearshore foraging habitat,which required sampling at smaller scales. All seabird censuses were thus conducted within approximately 100 kms of Palmer Station while traversing a sampling grid with stations at 10km intervals. The first two days (18-20 January) of this cruise were spent covering the selected grid as rapidly as possible resulting in 45 transects spaced at 45-60 minute intervals. There were no stops at the 10km stations during this Fast Grid phase. Upon completion of the Fast Grid, a force 12 gale suspended data collection for 24 hours. From January 22-25 the grid direction was reversed and the grid repeated. During this Slow Grid phase, 2-M net tows were done at 10km intervals and BOPS and 1-M and 2-M net tows every 20 km. All seabird censusesduring the cruise were done using the procedures outlined in theprevious paragraph.
LBA-ECO LC-04 Satellite/Census-Based 5-Minute Land Use Data, Amazonia: 1980 and 1995
Amazonia has been under considerable development pressure as croplands and pasture are established in areas formerly occupied by tropical forest and cerrado. Although this region is an important part of several important planetary biogeochemical cycles, the location and impact of human land use are not well understood. In particular, there is no existing satellite-based map of agriculture across the Amazon or Tocantins river drainage basins. Recent efforts have classified land cover across this vast region, although they disagree on the location and amount of cropland and do not directly address pasture, a land use that has grown in importance in the last 2 decades. Here we present an analysis of land cover and land use practices over the Amazon and Tocantins basins of South America. In this study, we demonstrate how satellite imagery and agricultural censuses can be merged in order to provide a geographically explicit, fine- scale description of land cover and land use practices. The result depicts the fraction of each 5-min (9 x 9 km) grid cell that was devoted to agricultural activity during the mid-1990s. The resultant map retains many of the characteristics of the agricultural census data, but with a much finer spatial resolution. During the mid-1990s, cultivated area is estimated to have been 1.7 x 10(7) ha (2.5% of the basin), natural pasture is estimated at 3.3 x 10(7) ha (4.9% of the basin), and planted pasture is estimated to cover 3.3 x 10(7) ha (4.9% of the basin). Perhaps more important than the quantities, however, is that these data sets provide a new blend of ground- based and satellite-based spatially explicit data. This snapshot can be used as a basis to project either forward or backward in time, as a new check of finer scale land use classifications or as a driver of ecosystem models.
Annual Summary of Artificial Light At Night from VIIRS/S-NPP at CONUS County and Census Tract V1 (ALAN_VIIRS_CONUS) at GES DISC
This product provides detailed information about the satellite-based data on artificial light at night (ALAN). The Suomi National Polar-orbiting Partnership (S-NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) Day/Night Band (DNB) nighttime lights (NTL) product (VNP46A4, DOI: 10.5067/VIIRS/VNP46A4.001 ) in NASA’s Black Marble suite is used to derive annual summary of ALAN levels throughout the CONUS at both county and tract level for the period of 2012-2020. The PI Dr. Qian Xiao is a member of NASA Heath and Air Quality Applied Sciences Team (HAQAST).
A Molecular Census of Arcuate Hypothalamus and Median Eminence Cell Types
GEO Series GSE93374. Mus musculus. 11 samples. Type: Expression profiling by high throughput sequencing.
Single cell RNAseq of mouse olfactory bulb reveals cellular heterogeneity and activity dependent molecular census of adult-born neurons
GEO Series GSE121891. Mus musculus. 6 samples. Type: Expression profiling by high throughput sequencing.
A Molecular Census of Arcuate Hypothalamus and Median Eminence Cell Types
GEO Series GSE90806. Mus musculus. 25 samples. Type: Expression profiling by high throughput sequencing.
Colonic single epithelial cell census reveals goblet cell drivers of barrier breakdown in inflammatory bowel disease
GEO Series GSE116222. Homo sapiens. 9 samples. Type: Expression profiling by high throughput sequencing.
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.