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.
113
datasets available to search
ShareScore release 0.7.1
Dataset results
113 results for “Forestry”
Data from: The role of predation, forestry and productivity in moose harvest at different spatial levels of management units
Open the record for dataset details and reuse information.
Short-term effects of continuous cover forestry on forest biomass production and biodiversity: Applying single-tree selection in forests dominated by Picea abies
Open the record for dataset details and reuse information.
Forestry influences on salmonid habitat in the North Thompson River Watershed, British Columbia
Open the record for dataset details and reuse information.
Data for: How do harvesting methods applied in continuous-cover forestry and rotation forest management impact soil carbon storage and degradability in boreal Scots pine forests?
Open the record for dataset details and reuse information.
Retention forestry can maintain epiphytic lichens on living pine trees, but provides impoverished habitat for deadwood-associated lichens
Open the record for dataset details and reuse information.
Impacts of pastures and forestry plantations on herpetofauna: a global meta-analysis
Open the record for dataset details and reuse information.
Metabarcoding of canopy arthropods reveals negative impacts of forestry insecticides on community structure across multiple taxa
Open the record for dataset details and reuse information.
Best-practice forestry management delivers diminishing returns for coral reefs with increased land-clearing
Open the record for dataset details and reuse information.
Species- and trait-based responses of carabids to rotation and closer-to-nature forestry in a temperate forest under changing climate
Open the record for dataset details and reuse information.
Data from: Forestry impacts on stream flows and temperatures: A quantitative synthesis of paired catchment studies across the Pacific salmon range
Open the record for dataset details and reuse information.
Ruffed grouse (Bonasa umbellus) drumming surveys, 1987-2017, Adirondack Long-Term Ecological Monitoring Program Project No. 9 by Adirondack Ecological Center of the State University of New York College of Environmental Science and Forestry, Newcomb, New York. Environmental Data Initiative
The objective is to document long-term population trends of ruffed grouse in a northern hardwood ecosystem. The survey area is the Huntington Wildlife Forest, a 6,000 ha field station which receives no hunting pressure. Routes are surveyed starting an hour prior to sunrise on 2-5 mornings each year between April 14 and May 9 (occasionally later), on days when wind and rain are minimal to absent. Counts are standardized relative to weather conditions and timing. Observers count the number of individual ruffed grouse heard drumming (""drummers"") at 32-50 route stations during a 4-minute period. Trends at stations over time as well as overall drummer index are calculated and compared to independent datasets.
Seed Production Survey, 1988-2009, Adirondack Long-Term Ecological Monitoring Program Project No. 26 by Adirondack Ecological Center of the State University of New York College of Environmental Science and Forestry, Newcomb, New York, USA
The purpose of this project is to 1) estimate number of seeds per unit area in a mature northern hardwood/mixed conifer forest stand and 2) document changes over time in selected tree and shrub seed production. Permanent seed traps were established in 1988 in two forest types. Seed traps (13.9 L [5 gal] capacity buckets) are installed 0.5 m off the ground on two metal stakes in the center of each forested plot. Buckets are open to the tree canopy and have small (< 2cm) holes near the bottom edges for drainage. Fifty collection buckets are placed approximately 30 m (100 feet) apart and distributed along painted grid lines in the Huntington Wildlife Forest Natural Area. Twenty-five plots are northern hardwood upland forest (dominated by sugar maple, American beech and yellow birch with some conifers) and 25 plots are in the mixed hardwood/conifer lakeshore forest type (dominated by red maple, yellow birch, red spruce and eastern hemlock). Tree and shrub seeds are collected annually during two periods: July to November (Fall) and November to July (Spring). The spring and autumn collections are based on tree species’ seed phenology. If a bucket was tipped over due to disturbance by a bear or some other factor, it was censored from the survey for that year. Mice or other seed predators that were physically found/present in buckets also resulted in sample censoring. Animal scat or partly-consumed seeds are not censored, as these may have fallen from the tree canopy during seed predators’ normal activities.
White-tailed Deer Population Study, 1962-2008, Adirondack Long-Term Ecological Monitoring Program by Adirondack Ecological Center of the State University of New York College of Environmental Science and Forestry, Newcomb, New York, USA
From 1962-2008, White-tailed deer (Odocoileus virginianus) were studied at the SUNY ESF Huntington Wildlife Forest (HWF) and adjacent private and public lands in Essex and Hamilton Counties, New York, USA. Social group membership, migration and dispersal, reproductive biology, and many other objectives were studied over the course of the study period. Deer were captured, individually marked with ear tags or streamers, fitted with radio collars (later, GPS collars), and released to be tracked for a variety of research objectives. Deer were located by visual observation, recapture, and/or their location was estimated with ground, air or tower-based radio telemetry. Physical condition of deer was recorded at capture and at subsequent recapture or visual observation select variables were documented (e.g., deer group size; presence of fawns with does). Physiological, demographic, social organization, home range and behavior data were collected. HWF is a no-hunting area but deer could be harvested if they moved to huntable parts of the study area; there was a managed hunt on HWF in 1966-1970 and in 1984 to meet deer density and forest management objectives at that time. Unmarked deer were incorporated into the dataset if they were roadkilled, harvested or otherwise encountered during field activity; these deer did not receive individual identifications but may have been incorporated into select projects.
Continuous Forest Inventory (CFI), 1970-2017, Long-term Forest Property Monitoring by State University of New York College of Environmental Science and Forestry, New York, USA
SUNY College of Environmental Science and Forestry (ESF) based in Syracuse, New York, maintains a series of Continuous Forest Inventory (CFI) permanent plots on their Forest Properties. ESF has over 700 CFI plots located on 5 different properties, four properties in the Adirondack Mountains of northern New York and one property south of Syracuse. Plots cover northern hardwood species including sugar maple, red maple, yellow birch, beech, white ash, red oak, white pine, hemlock, red spruce, and pine/softwood plantations of various species. Data is collected at ten year intervals on each property starting from initial plot establishment. Plot information collected includes: location information, slope, aspect, forest type, cutting history, and photo of plot. Tree information/measurements include (in general, trees greater than 3.6 inches diameter at breast height): tree tag number, species, tree history, diameter at breast height, sawlog height, bole height, total height, crown vigor, crown class, tree location, and tree notes. Data is collected/field checked/edited according to detailed written procedures by ESF professional staff with assistance of students. Data is collected to monitor general forest health, growth rates, mortality, and overall forest metrics. Data is used to calculate standing volumes, stocking of forest trees, carbon stocking in addition to other information. ESF Forest Properties with CFI plots:
List of tissue specimens of Hipposideros spp. used for cytochrome b sequencing and phylogenetic inference, with geographical data. Voucher refers to the location and/or accession number of the voucher, and tissue collection refers to the collection where the tissue is kept, and accession or collector numbers. Acronyms are as follows: Estación Biológica de DoZana, Sevilla, Spain (EBD), South Australia Museum, Adelaide, Australia (SAM), Senckenberg Museum, Frankfurt am Main, Germany (SMF), Instituto de Ecología, Xalapa, México (IEX), Louisiana State University, Baton Rouge, Louisiana, USA (LSU), Charles M. Francis, Canadian Wildlife Service, Ottawa, Ontario, Canada (CMF), Lao Department of Forestry, Vientiane, Lao PDR, no catalogued (LAO). Next column indicates GenBank accession numbers. More information about the specimens is available in the GenBank records in A new species of bat of the Hipposideros bicolor group (Chiroptera: Hipposideridae) from Central Laos, with evidence of convergent evolution with Sundaic taxa
List of tissue specimens of Hipposideros spp. used for cytochrome b sequencing and phylogenetic inference, with geographical data. Voucher refers to the location and/or accession number of the voucher, and tissue collection refers to the collection where the tissue is kept, and accession or collector numbers. Acronyms are as follows: Estación Biológica de DoZana, Sevilla, Spain (EBD), South Australia Museum, Adelaide, Australia (SAM), Senckenberg Museum, Frankfurt am Main, Germany (SMF), Instituto de Ecología, Xalapa, México (IEX), Louisiana State University, Baton Rouge, Louisiana, USA (LSU), Charles M. Francis, Canadian Wildlife Service, Ottawa, Ontario, Canada (CMF), Lao Department of Forestry, Vientiane, Lao PDR, no catalogued (LAO). Next column indicates GenBank accession numbers. More information about the specimens is available in the GenBank records
Forest-Forward: Identifing future suitable areas for forestry in Indonesia, Spain, and Sweden.
<p>This dataset includes the original data and modelling results used to create the interactive platform <a href="https://forest-forward.com">Forest-forward</a>.</p> <p>These include; climatic variables (historical reanalysis ERA-5, and the future CMIP5 projections) derived from the <a href="https://cds.climate.copernicus.eu">Copernicus Climate Data Store</a> that have been converted to 19 standard <a href="http://www.worldclim.com/bioclim">bioclimatic variables</a>; species occurrence data for a limited number of tree species derived from <a href="https://www.gbif.org/">GBIF</a>; and, the results of ensemble Species Distribution Modelling (SDM) using historical and future bioclimatic variables as predictors, created using the R package <a href="https://github.com/biomodhub/biomod2">biomod2</a> that have been assigned to a hexagonal grid for display. Code used for the full processing pipeline is available at <a href="https://github.com/Vizzuality/vspt">GitHub</a>.</p> <p>Data files are organised by region; Indonesia (IDN), mainland Spain (ESP), and Sweden (SWE). Bioclimatic variables are GeoTIFF files grouped per region in zipped directories representing historical reanalysis (1980-2019) and future predictions (further divided into 10 y time-intervals between 2020 and 2090). SDM results (and resampled bioclimatic variables) are supplied as CSV files with WKT geometries ("<iso3>_zonal_spp_uuid.csv", and "<iso3>_zonal_bv_uuid.csv", respectively). Species occurrence point data is supplied as a single CSV file with WKT geometries ("all_spp_occurrence.csv"); the field 'iso3' can be used to filter by region. Summaries of the total proportion of area of a country with suitable habitat for each species, and the area weighted mean of each bioclimatic variable per country are supplied as CSV files ("<iso3>_spp_summary_stats.csv", and "<iso3>_bv_summary_stats.csv", respectively).</p>
Data from: A high-density exome capture genotype-by-sequencing panel for forestry breeding in Pinus radiata
Development of genome-wide resources for application in genomic selection or genome-wide association studies, in the absences of full reference genomes, present a challenge to the forestry industry, where longer breeding cycles could benefit from the accelerated selection possible through marker-based breeding value predictions. In particular, large conifer megagenomes require a strategy to reduce complexity, whilst ensuring genome-wide coverage is achieved. Using a transcriptome-based reference template, we have successfully developed a high density exome capture genotype-by-sequencing panel for radiata pine (Pinus radiata D.Don), capable of capturing in excess of 80,000 single nucleotide polymorphism (SNP) markers with a minor allele frequency above 0.03 in the population tested. This represents approximately 29,000 gene models from a core set of 48,914 probes. A set of 704 SMP markers capable of pedigree reconstruction and differentiating individual genotypes were tested within two full-sib mapping populations. While as few as 70 markers could reconstruct parentage in almost all cases, the impact of missing genotypes was noticeable in several offspring. Therefore, sets of 60 sets of 110 randomly selected SNP markers were compared for both parentage reconstruction and clone differentiation. The performance in parentage reconstruction showed little variation over 60 iterations. However, there was notable variation in discriminatory power between closely related individuals, indicating a higher density SNP marker panel may be required to elucidate hidden relationships in complex pedigrees.
:E ،روفوتنودا و لیاتساوتنودا:D ، روفوتنودا و لیاتساوتنودا:C ،ایدراک و یرم ،رس:B ،ندب یلک یامن:A. Tylencholaimus tahatikus -6 لکش دیفمآ Figure 6- Tylencholaimus tahatikus. A: Entire body, B: Head and anterior part of body, Esophagus and Cardia, C: Head, odontostyle and odontophore, D: Vulva and posterior genital system, E: Amphid, F: Tail, pre-rectum and rectum in Report of Six Dorylaim Nematodes from Arasbaran Forestry- Iran
:E ،روفوتنودا و لیاتساوتنودا:D ، روفوتنودا و لیاتساوتنودا:C ،ایدراک و یرم ،رس:B ،ندب یلک یامن:A. Tylencholaimus tahatikus -6 لکش دیفمآ Figure 6- Tylencholaimus tahatikus. A: Entire body, B: Head and anterior part of body, Esophagus and Cardia, C: Head, odontostyle and odontophore, D: Vulva and posterior genital system, E: Amphid, F: Tail, pre-rectum and rectum
و هدورتسارشیپ ،مد:E ،هدور و یرم لاصتا لحم:D ،دیفمآ:C ،لیاتساوتنودا و رس:B ،ندب یلک لکش:Crassolabium himalum هنوگ -4 لکش یبقع یسنج هلول و یلسانت فاکش:F ،هدورتسار Figure 4- Crassolabium himalum. A: Entire body, B: Head and odontostyle, C: Amphid, D: Cardia, E: Tail, pre-rectum and rectum, F: Vulva and posterior genital system in Report of Six Dorylaim Nematodes from Arasbaran Forestry- Iran
و هدورتسارشیپ ،مد:E ،هدور و یرم لاصتا لحم:D ،دیفمآ:C ،لیاتساوتنودا و رس:B ،ندب یلک لکش:Crassolabium himalum هنوگ -4 لکش یبقع یسنج هلول و یلسانت فاکش:F ،هدورتسار Figure 4- Crassolabium himalum. A: Entire body, B: Head and odontostyle, C: Amphid, D: Cardia, E: Tail, pre-rectum and rectum, F: Vulva and posterior genital system
شیپ ،مد:E ،ندب یلک لکش:D ،یبقع یسنج هلول و یلسانت فاکش:C ،دیفمآ:B ،یرم و رس:A.Crassolabium ettersbergense هنوگ -3 لکش هدورتسار و هدورتسار Figure 3- Crassolabium ettersbergense. A: Entire body, B: Amphid, C: Vulva and posterior genital branch, D: Cardia, E: Tail, pre–rectum and rectum in Report of Six Dorylaim Nematodes from Arasbaran Forestry- Iran
شیپ ،مد:E ،ندب یلک لکش:D ،یبقع یسنج هلول و یلسانت فاکش:C ،دیفمآ:B ،یرم و رس:A.Crassolabium ettersbergense هنوگ -3 لکش هدورتسار و هدورتسار Figure 3- Crassolabium ettersbergense. A: Entire body, B: Amphid, C: Vulva and posterior genital branch, D: Cardia, E: Tail, pre–rectum and rectum
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.