Skip to main content
Powered by ShareScore

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.

49

datasets available to search

ShareScore release 0.9.0

Reset

Dataset results

49 results for “Pheasant”

Learn how ShareScore rates datasets ↗
zenodo40/100

Figs 1–12 in A new species of pheasant shell from the south-western Indian Ocean (Mollusca: Gastropoda: Vetigastropoda: Phasianellidae: Tricolia)

Figs 1–12. Tricolia retrolineata sp. n., variation in shell colour and pattern: (1, 2) holotype, length 6.5 mm, width 3.5 mm, NMSA L5938/T2238, Ponta do Ouro, Mozambique; (3–12) paratypes: (3, 4) length 5.8 mm, width 3.3 mm, NMSA S2851/T2242, between Bhanga Nek and Kosi Bay, KwaZulu-Natal; (5, 6) length 7.1 mm, width 3.8 mm, NMSA L7357/T3339, Ponta do Ouro, Mozambique; (7, 8) length 6.0 mm, width 3.4 mm, NMSA L6904/T2240, Malongane, Mozambique; (9, 10) length 6.5 mm, width 3.4 mm, NMSA W1935/T2243, Mzamba, Eastern Cape; (11, 12) length 7.4 mm, width 4.1 mm, NMSA E2476/T2241, Leadsman Shoal, KwaZulu- Natal.

opencc-by-4.0Dec 2008View details →
dryad40/100

Data from: Pheasants 365: A review of seasonal ring-necked pheasant habitat in central North America

Open the record for dataset details and reuse information.

publicAug 2025View details →
dryad40/100

Hot-headed peckers: thermographic changes during aggression among juvenile pheasants (Phasianus colchicus)

Open the record for dataset details and reuse information.

publicJan 2022View details →
dryad40/100

Data from: Remote sensing and landcover in ring-necked pheasant research: A review of data sources and scales

Open the record for dataset details and reuse information.

publicJul 2025View details →
zenodo36/100

Fig. 5 in The First Records Of The Common Pheasant, P H A S I A N U S C O L C H I C U S (Av E S: G A L L I F O R M E S: Phasianidae), And Its Group In South-Eastern Latvia

Fig. 5. The distribution of observation places of Phasianus colchicus in Latvia since 2005.

opencc-by-4.0Dec 2015View details →
zenodo36/100

Fig. 4 in The First Records Of The Common Pheasant, P H A S I A N U S C O L C H I C U S (Av E S: G A L L I F O R M E S: Phasianidae), And Its Group In South-Eastern Latvia

Fig. 4. Phasianus colchicus female, Ainavas, Kalkunes parish, Daugavpils district; 2015.04.06.

opencc-by-4.0Dec 2015View details →
zenodo36/100

Fig. 3 in The First Records Of The Common Pheasant, P H A S I A N U S C O L C H I C U S (Av E S: G A L L I F O R M E S: Phasianidae), And Its Group In South-Eastern Latvia

Fig. 3. Phasianus colchicus female, Ainavas, Kalkunes parish, Daugavpils district; 2015.03.27.

opencc-by-4.0Dec 2015View details →
zenodo36/100

Tables and Appendix indicate population density and distribution of Cheer Pheasant (Catreus wallichii) in different localities of AJ&K

<p><strong>Table 5 </strong>Population density (per sq. km.) of Cheer Pheasant <em>(Catreus wallichii) </em>in different localities of AJ&amp;K.</p> <p><strong>Table 6 </strong>Population density (per sq. km.) of Cheer Pheasant <em>(Catreus wallichii) </em>in different sub-localities of AJ&amp;K.</p> <p><strong>Table 7 </strong>Population density (per sq. km.) of Cheer Pheasant <em>(Catreus wallichii) </em>across the months in AJ&amp;K.</p> <p><strong>Appendix-I </strong>Distribution and Population density of Cheer Pheasant (<em>Catreus wallichi</em>) in &nbsp;&nbsp;&nbsp;Jhelum Velley, AJ&amp;K.</p> <p><strong>Appendix-II </strong>Distribution and Population density of Cheer Pheasant (<em>Catreus wallichii</em>) at Machiara National Park, Muzaffarabad AJ&amp;K.</p> <p><strong>Appendix-III </strong>Distribution and Population density of Cheer Pheasant (<em>Catreus wallichii</em>) at Phalla Game Reserve, Haveli, AJ&amp;K.</p> <p><strong>Appendix-IV </strong>Distribution and Population density of Cheer Pheasant (<em>Catreus wallichii</em>) at Nar Sher Ali Khan, Bagh, Azad Jammu &amp; Kashmir.</p> <p>&nbsp;</p> <p>&nbsp;</p>

opencc-by-4.0Aug 2021View details →
zenodo36/100

Fig. 3. A in Sub-Montane Habitat Selection By A Lowland Pheasant

Fig. 3. A comparison of slope between nest site locations (n=10) and random areas (n=90).

opencc-by-4.0Aug 2010View details →
zenodo36/100

Fig. 2 in Estimating Population Size And Distribution Of Hume'S Pheasant In Northern Thailand

Fig. 2. Predicted habitat of Hume's Pheasant in northern Thailand.

opencc-by-4.0Aug 2008View details →
zenodo36/100

Fig. 17 in A new species of pheasant shell from the south-western Indian Ocean (Mollusca: Gastropoda: Vetigastropoda: Phasianellidae: Tricolia)

Fig. 17. Distribution of T. retrolineata sp. n. (9) and T. elongata (•).

opencc-by-4.0Dec 2008View details →
edi36/100

North Temperate Lakes site, station USGS Station 05427948, Pheasant Branch at Middleton, WI, study of mean daily streamflow in units of litersPerSecond on a monthly timescale

The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from North Temperate Lakes (NTL) contains mean daily streamflow measurements in litersPerSecond units and were aggregated to a monthly timescale.

openOpenJan 2020View details →
edi36/100

North Temperate Lakes site, station USGS Station 05427948, Pheasant Branch at Middleton, WI, study of mean daily streamflow in units of litersPerSecond on a yearly timescale

The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from North Temperate Lakes (NTL) contains mean daily streamflow measurements in litersPerSecond units and were aggregated to a yearly timescale.

openOpenJan 2020View details →
dryad32/100

Regionally divergent drivers of historical diversification in the late Quaternary in a widely distributed generalist species, the common pheasant Phasianus colchicus

<p>Aim: Pleistocene climate and associated environmental changes have influenced phylogeographic patterns of many species. These not only depend on a species' life history but also vary regionally. Consequently, populations of widespread species that occur in several biomes might display different evolutionary trajectories. We aimed to identify regional drivers of diversification in the common pheasant, a widely distributed ecological generalist. <br> <br> Study location Asia<br> <br> Taxon common pheasant Phasianus colchicus<br> <br> Methods Using a comprehensive geographic sampling of 204 individuals from the species' entire range genotyped at seven nuclear and two mitochondrial loci, we reconstructed spatio-temporal diversification and demographic history of the common pheasant. We applied Bayesian phylogenetic inference to describe phylogeographic structure, generated a species tree, and inferred demographic history within and migration between lineages. Moreover, to establish a taxonomic framework, we conducted a species delimitation analysis.<br> Results The common pheasant diversified during the late Pleistocene into eight distinct lineages. It originated at the edge of the Qinghai-Tibetan plateau and spread to East and Central Asia. Only the widely distributed lowland lineage of East Asia displayed recent range expansion. Greater phylogeographic structure was identified elsewhere, with lineages showing no sign of recent demographic changes. One lineage in south-central China is the result of long-term isolation within a climatically stable but topographically complex region. In lineages from arid Central Asia and China, range expansions were impeded by repeated population fragmentation during dry glacial periods and by recent aridification. <br> <br> Main conclusions  <br> Spatio-temporal phylogeographic frameworks of widespread taxa such as the common pheasant provide valuable opportunities to identify divergent drivers of regional diversification. Our results suggest that diversification and population histories in the eight distinct evolutionary lineages were shaped by regionally variable effects of past climate and associated environmental changes. The evolutionary history of the common pheasant is best reflected by its being split into three species.</p>

opencc-zeroAug 2021View details →
zenodo32/100

Conflict between Cultural Development and Wildlife Conservation: A Potential Threat to Reeves's Pheasant (Syrmaticus reevesii)

<p>Dataset for analyses perfomed in the study accepted in Conservation Letters entitled Conflict between Cultural Development and Wildlife Conservation: A Potential Threat to Reeves's Pheasant (Syrmaticus reevesii).</p>

opencc-by-4.0Nov 2023View details →
dryad32/100

Regionally divergent drivers of historical diversification in the late Quaternary in a widely distributed generalist species, the common pheasant Phasianus colchicus

Open the record for dataset details and reuse information.

publicOct 2020View details →
dryad32/100

Data from: Phylogeography of Silver Pheasant (Lophura nycthemera L.) across China: aggregate effects of refugia, introgression and riverine barriers

Open the record for dataset details and reuse information.

publicMar 2013View details →
dryad32/100

The draft genome of the blood pheasant (Ithaginis cruentus): phylogeny and high-altitude adaptation

Open the record for dataset details and reuse information.

publicFeb 2021View details →
dryad28/100

Data from: The quick are the dead: pheasants that are slow to reverse a learned association survive for longer in the wild

Cognitive abilities likely evolve through natural selection if they provide individuals with fitness benefits. A growing number of studies demonstrate a positive relationship between performance in psychometric tasks and (proxy) measures of fitness. We assayed the performance of 154 Common Pheasant Phasianus colchicus chicks on tests of acquisition and reversal learning, using a different set of chicks and different set of cue types (spatial location and colour) in each of two years and then followed their fates after release into the wild. Across all birds, individuals that were slow to reverse previously learned associations were more likely to survive to four months old. For heavy birds, individuals that rapidly acquired an association had improved survival to four months, whereas for light birds, slow acquirers were more likely to be alive. Slow reversers also exhibited less exploratory behaviour in assays when five weeks old. Fast acquirers visited more artificial feeders after release. By contrast to most other studies, we showed that apparently 'poor' cognitive performance (slow reversal speed suggesting low behavioural flexibility) correlates with fitness benefits in at least some circumstances. This correlation suggests a novel mechanism by which continued exaggeration of cognitive abilities may be constrained.

opencc-zeroDec 2017View details →
dryad28/100

Data from: Diet complexity in early life affects survival in released pheasants by altering foraging efficiency, food choice, handling skills and gut morphology

1. Behavioural and physiological deficiencies are major reasons why reintroduction programmes suffer from high mortality when captive animals are used. Mitigation of these deficiencies is essential for successful reintroduction programmes. 2. Our study manipulated early developmental diet to better replicate foraging behaviour in the wild. Over 2 years, we hand-reared 1800 pheasants (Phasianus colchicus), from 1 day old, for 7 weeks under different dietary conditions. In year one, 900 pheasants were divided into three groups and reared with (i) commercial chick crumb, (ii) crumb plus 1% live mealworm or (iii) crumb plus 5% mixed seed and fruit. In year two, a further 900 pheasants were divided into two groups and reared with (i) commercial chick crumb or (ii) crumb plus a combination of 1% mealworm and 5% mixed seed and fruit. In both years, the commercial chick crumb acted as a control treatment, whilst those with live prey and mixed seeds and fruits mimicking a more naturalistic diet. After 7 weeks reared on these diets, pheasants were released into the wild. 3. Postrelease survival was improved with exposure to more naturalistic diets prior to release. We identified four mechanisms to explain this. Pheasants reared with more naturalistic diets (i) foraged for less time and had a higher likelihood of performing vigilance behaviours, (ii) were quicker at handling live prey items, (iii) were less reliant on supplementary feed which could be withdrawn and (iv) developed different gut morphologies. 4. These mechanisms allowed the pheasants to (i) reduce the risk of predation by reducing exposure time whilst foraging and allowing more time to be vigilant; (ii) be better at handling and discriminating natural food items and not be solely reliant on supplementary feed; and (iii) have a better gut system to cope with the natural forage after the cessation of supplementary feeding in the spring. 5. Learning food discrimination, preference and handling skills by the provision of a more naturalistic diet is essential prior to the release of pheasants in a reintroduction programme. Subsequent diet, foraging behaviour, gut morphology and digestive capabilities all work together as one nutritional complex. Simple manipulations during early development can influence these characteristics to better prepare an individual for survival upon release.

opencc-zeroDec 2014View details →

ScienceDex guides

Understand access before you commit

These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.

Compare curated 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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record