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.
227
datasets available to search
ShareScore release 0.9.0
Dataset results
227 results for “Provenance”
Data from: Does origin always matter? Evaluating the influence of nonlocal seed provenances for ecological restoration purposes in a widespread and outcrossing plant species
For restoration purposes, nature conservation generally enforces the use of local seed material based on the "local-is-best" (LIB) approach. However, in some cases recommendations to refrain from this approach have been made. Here we test if a common widespread species with no obvious signs of local adaptation may be a candidate species for abandoning LIB during restoration. Using 10 microsatellite markers we compared population genetic patterns of the generalist species Daucus carota in indigenous and formerly restored sites (nonlocal seed provenances). Gene diversity overall ranged between He = 0.67 and 0.86 and showed no significant differences between the two groups. Hierarchical AMOVA and principal component analysis revealed very high genetic population admixture and negligible differentiation between indigenous and restored sites (FCT = 0.002). Moreover, differentiation between groups was caused by only one outlier population, where inbreeding effects are presumed. We therefore conclude that the introduction of nonlocal seed provenances in the course of landscape restoration did not jeopardize regional species persistence by contributing to inbreeding or outbreeding depressions, or any measurable adverse population genetic effect. On the basis of these results, we see no obvious objections to the current practice to use the 10-fold cheaper, nonlocal seed material of D. carota for restoration projects.
Data from: Application of ITS2 metabarcoding to determine the provenance of pollen collected by honey bees in an agroecosystem
Premise of the study: Melissopalynology, the identification of bee-collected pollen, provides insight into the flowers exploited by foraging bees. Information provided by melissopalynology could guide floral enrichment efforts aimed at supporting pollinators, but it has rarely been used because traditional methods of pollen identification are laborious and require expert knowledge. We approach melissopalynology in a novel way, employing a molecular method to study the pollen foraging of honey bees (Apis mellifera) in a landscape dominated by field crops, and compare these results to those obtained by microscopic melissopalynology. Methods: Pollen was collected from honey bee colonies in Madison County, Ohio, USA, during a two-week period in mid-spring and identified using microscopic methods and ITS2 metabarcoding. Results: Metabarcoding identified 19 plant families and exhibited sensitivity for identifying the taxa present in large and diverse pollen samples relative to microscopy, which identified eight families. The bulk of pollen collected by honey bees was from trees (Sapindaceae, Oleaceae, and Rosaceae), although dandelion (Taraxacum officinale) and mustard (Brassicaceae) pollen were also abundant. Discussion: For quantitative analysis of pollen, using both metabarcoding and microscopic identification is superior to either individual method. For qualitative analysis, ITS2 metabarcoding is superior, providing heightened sensitivity and genus-level resolution.
Data from: Revisiting the provenance delineation of a widespread shrub, Frangula alnus—the role of spatial, temporal and environmental patterns
Including population genetic aspects into the selection of planting material within the framework of conservation and restoration measures is of vital importance for the long-term persistence of populations. This is especially true facing climate change since genetic diversity and the spread of potentially beneficial alleles are important for the adaptability of populations. Therefore, knowledge about genetic variability within and between populations is a critical aspect when determining provenance regions. In our study, we investigated the population genetic structure of a widespread, insect-pollinated and mainly bird-dispersed shrub species, Frangula alnus, on the basis of seven microsatellites and two chloroplast DNA markers throughout Germany. The aim was to determine the spatial, temporal and ecological processes genetically structuring populations to critically revise existing provenance regions. Therefore, we conducted analyses on different spatial scales (country-wide, regional and local) using the two different marker sets in addition to environmental variables. We detected distinct patterns on all spatial scales which indicated influences of historic recolonization processes, regional differences of seed dispersal across the landscape, as well as small-scale spatial genetic structures attributable to local dispersal processes. No relation of underlying environmental gradients such as temperature or precipitation and genetic patterns was found. We conclude that different aspects of historic and more recent gene flow shape population genetic structures and that a thorough analysis on a variety of spatial, temporal and environmental scales is necessary to appropriately select planting material for conservation and restoration measures. Correspondingly, management advice regarding provenance delineations will be provided.
FIGURE 7 in On the mammals collected by Friedrich Sellow in Brazil and Uruguay (1814 – 1831), with special reference to the types and their provenance
FIGURE 7. Four callitrichid monkeys supposedly collected by Sellow in Brazil: a) Callithrix aurita (ZMB_MAM 283); b) Leontopithecus chrysopygus (ZMB_MAM 304); c) Mico argentatus (ZMB_MAM 284); d) Saguinus niger (ZMB_MAM 289). See text for discussion on locality and collector data.
FIGURE 8 in On the mammals collected by Friedrich Sellow in Brazil and Uruguay (1814 – 1831), with special reference to the types and their provenance
FIGURE 8. Two Cervidae skulls collected by Sellow: a) Blastoceros dichotomus (ZMB_MAM 2052); b) Ozotoceros bezoarticus (ZMB_MAM 2057). See text for locality data.
FIGURE 6 in On the mammals collected by Friedrich Sellow in Brazil and Uruguay (1814 – 1831), with special reference to the types and their provenance
FIGURE 6. Lectotype of Dasyprocta azarae Lichtenstein (ZMB_MAM 1044), from São Paulo. Note the greenish-blue label, used in the old ZMB labeling as the color-code for America (Voss and Angermann 1997).
FIGURE 5 in On the mammals collected by Friedrich Sellow in Brazil and Uruguay (1814 – 1831), with special reference to the types and their provenance
FIGURE 5. Page of ZMB mammal collection catalog, handwritten by Wilhelm Peters, with the entry for the types of Thaptomys nigrita (ZMB_MAM 1698) and Kunsia tomentosus (ZMB_MAM 1699).
FIGURE 4 in On the mammals collected by Friedrich Sellow in Brazil and Uruguay (1814 – 1831), with special reference to the types and their provenance
FIGURE 4. Type specimens of small rodents collected by Friedrich Sellow in Brazil: a) Mus auritus Lichtenstein; b) Mus nigrita Lichtenstein; c) Mus vulpinus Brants, and d) Mus leptosoma Brants. Scale bar = 10 mm.
FIGURE 3 in On the mammals collected by Friedrich Sellow in Brazil and Uruguay (1814 – 1831), with special reference to the types and their provenance
FIGURE 3. Page of ZMB mammal collection catalog, handwritten by Wilhelm Peters, with the entries for the three bat specimens supposedly collected by Friedrich Sellow in eastern Brazil (ZMB_MAM 408, 411, 412). The asterisk denotes type material.
FIGURE 2 in On the mammals collected by Friedrich Sellow in Brazil and Uruguay (1814 – 1831), with special reference to the types and their provenance
FIGURE 2. Bats supposedly collected by Friedrich Sellow in eastern Brazil. a) Sturnira lilium (ZMB_MAM 412), mistakenly labeled as the type of Phyllostoma spiculatum Lichtenstein; b) Lectotype of Chiroderma villosum (ZMB_MAM 408); c) Lectotype of Uroderma bilobatum (ZMB_MAM 411); d) detail of the anterior dentition of ZMB_MAM 408; e) detail of the anterior dentition of ZMB_MAM 411 (Photo: Hwa Ja Götz). White scale bar = 10 mm, graduated bar = 1mm each division.
FIGURE 1 in On the mammals collected by Friedrich Sellow in Brazil and Uruguay (1814 – 1831), with special reference to the types and their provenance
FIGURE 1. Localities traveled by Friedrich Sellow between 1814 and 1831, and main vegetation types along the route. For locality coordinates, see Gazetteer in Appendix I.
Figs. 1–2 in On the Provenance of Boheman's "Eugenies Resa" Carabidae (Coleoptera) Allegedly Described from Hawaii
Figs. 1–2. Boheman type specimens described as Polynesian taxa (scale bars = 1.0 mm). 1) Calleida amoenula male lectotype, dorsal view; 2) Calleida insularis male lectotype, dorsal view.
Workflow Run RO-Crate capturing provenance from WSI conversion
<p>Example of <a href="https://www.researchobject.org/workflow-run-crate/profiles/">Workflow Run RO-Crate</a> capturing provenance data from an execution of the <a href="https://github.com/crs4/fair-crcc-img-convert/tree/main">fair-crcc-img-convert</a> workflow on a whole-slide image from the <a href="https://doi.org/10.7937/25T7-6Y12">Cancer Moonshot Biobank - Prostate Cancer Collection (CMB-PCA)</a>.</p><ul><li>Slide ID: MSB-02917-01-02, generated by Natasha Honomichl</li><li>Image License: <a href="https://creativecommons.org/licenses/by/4.0/">CC BY 4.0</a></li></ul><p>Note that the license for the RO-Crate is CC BY 4.0, except for the workflow, which is licensed under the <a href="https://www.gnu.org/licenses/gpl-3.0.en.html">GPL-3.0</a>.</p>
Recording provenance of workflow runs with RO-Crate (RO-Crate and mapping)
<p>RO-Crate for the manuscript that describes Workflow Run Crate, includes mapping to PROV using SKOS/SSSOM.</p>
Uranium isotope constraints on the pre-deposition time of Asian dust to the North Pacific Ocean: Implications for provenance and iron supply
<p>This dataset presents uranium isotope data covering a 300,000-year period retrieved from Ocean Drilling Program site 1209B in the North Pacific Ocean. Additionally, it incorporates uranium-neodymium isotope data sourced from multiple deserts in China, providing a comprehensive reexamination of the origin of dust in the North Pacific region.</p>
Betula ermanii range-wide provenance trial: Survival, height, diameter, and productivity data
<p>Understanding the response of <em>Betula ermanii</em> populations to climate change is crucial for conservation efforts. Range-wide provenance trials provide valuable insights into local adaptation and phenotypic plasticity, aiding in the maintenance of productivity in boreal and alpine forest ecosystems. This study aimed to evaluate the impact of climate change on survival and productivity of <em>B. ermanii</em>, and to formulate conservation strategies for future climates. Using survival and growth data from provenance trials, models were developed and applied to projected climate scenarios obtained from WorldClim. Results indicated that populations at the southern edge and thermal limit experienced more pronounced declines in survival and productivity compared to others. Particularly, the southern-edge population struggled to survive <em>in situ</em> under severe climate warming, while the high-altitude edge population faced challenges in surviving <em>ex situ</em>. These findings emphasize the necessity of integrating both <em>in situ</em> and <em>ex situ</em> conservation measures tailored to source populations and the severity of climate change. Range-wide provenance trial data provide valuable insights into how climatic responses affect populations, guiding conservation efforts for <em>Betula ermanii</em> in the face of changing environmental conditions.</p>
Dataset for ''Provenance of aeolian sand in the Kumtagh Sand Sea: A systematic perspective''
<p>This dataset includes compositions of grain size, geochemical elements and minerals for the aeolian sand in the Kumtagh Sand Sea and its potential source regions.</p>
Dataset: Geochemical - mineralogical constraints on the provenance of sediment supplied from South African river catchments draining into the southwestern Indian Ocean
<p>Supplementary Information Table 1 from manuscript in AGU <span>Geochemistry, Geophysics, Geosystems, titled</span>: Geochemical - mineralogical constraints on the provenance of sediment supplied from South African river catchments draining into the southwestern Indian Ocean.</p> <p>Pryor, E.J<span>1,†*</span>; Hall, I.R<span>1</span>; Simon, M.H<span>2,3</span>; Andersen, M<span>1</span>; Babin, D<span>4</span>; Starr, A<span>5</span>; Lipp, A<span>6</span>; van der Lubbe, H.J.L<span>7</span></p> <p><span>1</span>Cardiff University, School of Earth and Environmental Sciences, Main Building, United Kingdom</p> <p><span>2</span>NORCE Norwegian Research Centre, Bjerknes Centre for Climate Research, Bergen, Norway</p> <p><span>3</span> SFF Centre for Early Sapiens Behaviour (SapienCE), Bergen, Norway</p> <p><span>4</span><span>Lamont-Doherty </span>Earth Observatory of Columbia University, 61 Rt 9W, Palisades, New York 10964-8000, USA</p> <p><span>5</span>Department of Geography, University of Cambridge, United Kingdom</p> <p><span>6</span>Department of Earth Sciences, University College London, United Kingdom</p> <p><span>7</span>Department of Earth Sciences, Cluster Geochemistry & Geology, Vrije Universiteit Amsterdam</p> <p>(VU).</p> <p>†Now at Department of Earth Sciences, University of Bergen, Norway; SFF Centre for Early Sapiens Behaviour (SapienCE), Bergen, Norway</p> <p>*Corresponding author: Ellie Pryor (ellie.pryor@uib.no)</p> <p>This table provides the bedrock geology data for each river catchment between Durban and Cape Town, South Africa which was required for the endmember mixing model discussed in the submitted manuscript. This data can be used for endmember mixing calculations or used for GIS mapping. </p> <p>We also provide the grain size data measured on a Sympatec HELOS KR laser diffraction particle sizer. This grain size was inputted into the grain size endmember mixing model Analysize package within MATLAB 2022b (from Paterson and Heslop, 2015).</p>
Subspecies and Distribution. S. w. weddelli Deville, 1849 — W Brazil (between the rios Purus and Madeira in the states of Amazonas, Acre, and NW Rondonia, as far N as the Rio Pixuna) to SE Peru (from the Rio Abujao, E tributary of the Rio Ucayali, to the S along both banks of the Rio Ucayali, E of the Andes, E of the Rio Apurimac, and along the upper reaches of the Apurimac, Inambari, Urubamba, and Tambopata), and to N Bolivia (rios Madeira and Beni or Mamoré); it crosses the upper Rio Madeira to its right bank in Rondonia in the region of the Rio Jamari, S of the Rio Ji-parana, being sympatric there with Rondon's Marmoset (Mico rondonz). S. w. crandalli Hershkovitz, 1966 — provenance unknown but possibly near the headwaters of the rios Jurua and Tarauaca in W Brazil. S. w. melanoleucus Miranda Ribeiro, 1912 — Brazilian Amazon, along the right bank of the upper Rio Jurua, S from the mouth of the Rio Eira, up to its headwaters, E to the left bank of the Rio Tarauaca (no saddle-back tamarins have been recorded to the E of the Rio Tarauaca in Acre State as far as the upper Rio Purus), in SE Peru from the upper reaches of the Rio Breu and the Quebrada Breu, right bank affluents of the upper Rio Yurua. in Callitrichiade
Subspecies and Distribution. S. w. weddelli Deville, 1849 — W Brazil (between the rios Purus and Madeira in the states of Amazonas, Acre, and NW Rondonia, as far N as the Rio Pixuna) to SE Peru (from the Rio Abujao, E tributary of the Rio Ucayali, to the S along both banks of the Rio Ucayali, E of the Andes, E of the Rio Apurimac, and along the upper reaches of the Apurimac, Inambari, Urubamba, and Tambopata), and to N Bolivia (rios Madeira and Beni or Mamoré); it crosses the upper Rio Madeira to its right bank in Rondonia in the region of the Rio Jamari, S of the Rio Ji-parana, being sympatric there with Rondon's Marmoset (Mico rondonz). S. w. crandalli Hershkovitz, 1966 — provenance unknown but possibly near the headwaters of the rios Jurua and Tarauaca in W Brazil. S. w. melanoleucus Miranda Ribeiro, 1912 — Brazilian Amazon, along the right bank of the upper Rio Jurua, S from the mouth of the Rio Eira, up to its headwaters, E to the left bank of the Rio Tarauaca (no saddle-back tamarins have been recorded to the E of the Rio Tarauaca in Acre State as far as the upper Rio Purus), in SE Peru from the upper reaches of the Rio Breu and the Quebrada Breu, right bank affluents of the upper Rio Yurua.
Subspecies and Distribution. S. J. fuscicollis Spix, 1823 — W Brazil (states of Acre & Amazonas) and Peru, S of the Rio Solimoes, between the Rio Javari in the W, E through the Rio Jutai Basin to the Rio Jurua (left bank), also in Peru, W of the Rio Yavari as far as the Rio Tapiche, an E tributary of the Rio Ucayali, and extending N from there as far as the Rio Blanco (left bank), where it meets the distribution of Geoffroy's Saddle-back Tamarin, S. nigrifrons (right bank of the Rio Blanco). S. f. auvilapiresi Hershkovitz, 1966 — W Brazil in the Amazonas State (type locality is the mouth of the Lago de Tefé, Rio Solimoes), found along the S of the Rio Solimoes between the rios Jurua and Purus, including the basins of the rios Urucu and Coari, and probably the Rio Tefé; the S limits are not known but possibly in the region of the N bank of the Rio Tapaua, an affluent of the Rio Purus. S. f. eruzlimai Hershkovitz, 1966 — W Brazil, described by Hershkovitz without provenance (based on a single individual "said to be from the upper Rio Purus"); M. G. M. van Roosmalen reported in 2003 that it had been observed by T. van Roosmalen on 21 June 2002, on the W bank of the Rio Purus, opposite the mouth of the Rio Sepatini, and noted that Hershkovitz was correct in supposing that it occurred between the rios Pauini and Tapaua, W of the Rio Purus. S. J. mura Rohe et al, 2009 — C Brazil (Amazonas State), interfluvium of the rios Madeira and Purus, S of the Rio Amazonas, probably S to the Rio Igapo-Acu. S. f. primitivus Hershkovitz, 1977 — W Brazil (Amazonas State), the distribution is believed to extend from the left bank of the Rio Pauini, along the left bank of the upper Rio Purus, N to the Rio Tapaua (right bank), as far W the right bank of the Rio Jurua, and the Rio Tarauaca. in Callitrichiade
Subspecies and Distribution. S. J. fuscicollis Spix, 1823 — W Brazil (states of Acre & Amazonas) and Peru, S of the Rio Solimoes, between the Rio Javari in the W, E through the Rio Jutai Basin to the Rio Jurua (left bank), also in Peru, W of the Rio Yavari as far as the Rio Tapiche, an E tributary of the Rio Ucayali, and extending N from there as far as the Rio Blanco (left bank), where it meets the distribution of Geoffroy's Saddle-back Tamarin, S. nigrifrons (right bank of the Rio Blanco). S. f. auvilapiresi Hershkovitz, 1966 — W Brazil in the Amazonas State (type locality is the mouth of the Lago de Tefé, Rio Solimoes), found along the S of the Rio Solimoes between the rios Jurua and Purus, including the basins of the rios Urucu and Coari, and probably the Rio Tefé; the S limits are not known but possibly in the region of the N bank of the Rio Tapaua, an affluent of the Rio Purus. S. f. eruzlimai Hershkovitz, 1966 — W Brazil, described by Hershkovitz without provenance (based on a single individual "said to be from the upper Rio Purus"); M. G. M. van Roosmalen reported in 2003 that it had been observed by T. van Roosmalen on 21 June 2002, on the W bank of the Rio Purus, opposite the mouth of the Rio Sepatini, and noted that Hershkovitz was correct in supposing that it occurred between the rios Pauini and Tapaua, W of the Rio Purus. S. J. mura Rohe et al, 2009 — C Brazil (Amazonas State), interfluvium of the rios Madeira and Purus, S of the Rio Amazonas, probably S to the Rio Igapo-Acu. S. f. primitivus Hershkovitz, 1977 — W Brazil (Amazonas State), the distribution is believed to extend from the left bank of the Rio Pauini, along the left bank of the upper Rio Purus, N to the Rio Tapaua (right bank), as far W the right bank of the Rio Jurua, and the Rio Tarauaca.
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.