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.
74
datasets available to search
ShareScore release 0.7.1
Dataset results
74 results for “Herbarium data”
Linked collectors and determiners for: Data generated from the digitization of CRSN herbarium with support from API project and JRS Biodiversity Foundation.
Natural history specimen data linked to collectors and determiners held within, "Data generated from the digitization of CRSN herbarium with support from API project and JRS Biodiversity Foundation". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/22252fe5-d06e-46d3-8f6d-dc1aa57de904">https://bionomia.net/dataset/22252fe5-d06e-46d3-8f6d-dc1aa57de904</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/22252fe5-d06e-46d3-8f6d-dc1aa57de904">https://gbif.org/dataset/22252fe5-d06e-46d3-8f6d-dc1aa57de904</a>. Formatted as a Frictionless Data package.
Linked collectors and determiners for: La Trobe University Herbarium (LTB) AVH data.
Natural history specimen data linked to collectors and determiners held within, "La Trobe University Herbarium (LTB) AVH data". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/ea0df0c3-fe1f-43d1-bf97-f4a7753cc049">https://bionomia.net/dataset/ea0df0c3-fe1f-43d1-bf97-f4a7753cc049</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/ea0df0c3-fe1f-43d1-bf97-f4a7753cc049">https://gbif.org/dataset/ea0df0c3-fe1f-43d1-bf97-f4a7753cc049</a>. Formatted as a Frictionless Data package.
Data from: Accelerating plant DNA barcode reference library construction using herbarium specimens: improved experimental techniques
A well-covered reference library is crucial for successful identification of species by DNA barcoding. The biggest difficulty in building such a reference library is the lack of materials of organisms. Herbarium collections are potentially an enormous resource of materials. In this study, we demonstrate that it is likely to build such reference libraries using the reconstructed (self-primed PCR amplified) DNA from the herbarium specimens. We used 179 rosaceous specimens to test the effects of DNA reconstruction, 420 randomly sampled specimens to estimate the usable percentage and another 223 specimens of true cherries (Cerasus, Rosaceae) to test the coverage of usable specimens to the species. The barcode rbcLb (the central four-sevenths of rbcL gene) and matK was each amplified in two halves and sequenced on Roche GS 454 FLX+. DNA from the herbarium specimens was typically shorter than 300 bp. DNA reconstruction enabled amplification fragments of 400–500 bp without bringing or inducing any sequence errors. About one-third of specimens in the national herbarium of China (PE) were proven usable after DNA reconstruction. The specimens in PE cover all Chinese true cherry species and 91.5% of vascular species listed in Flora of China. It is very possible to build well-covered reference libraries for DNA barcoding of vascular species in China. As exemplified in this study, DNA reconstruction and DNA-labelled next-generation sequencing can accelerate the construction of local reference libraries. By putting the local reference libraries together, a global library for DNA barcoding becomes closer to reality.
Figure 6 from: Nelson W, Dalen J, Neill K (2013) Insights from natural history collections: analysing the New Zealand macroalgal flora using herbarium data. PhytoKeys 30: 1-21. https://doi.org/10.3897/phytokeys.30.5889
Figure 6 - Number of taxa unique to each region by division (BAAC = Bounty, Antipodes, Auckland, Campbell Islands).
Figure 4 from: Nelson W, Dalen J, Neill K (2013) Insights from natural history collections: analysing the New Zealand macroalgal flora using herbarium data. PhytoKeys 30: 1-21. https://doi.org/10.3897/phytokeys.30.5889
Figure 4 - Number of taxa in the collections by decade of collection and division (green, brown, and red algae).
Figure 1 from: Nelson W, Dalen J, Neill K (2013) Insights from natural history collections: analysing the New Zealand macroalgal flora using herbarium data. PhytoKeys 30: 1-21. https://doi.org/10.3897/phytokeys.30.5889
Figure 1 - Map of New Zealand indicating the boundaries of the regions investigated in this study (1 Kermadec Is 2 Three Kings Is 3 North I. (NI) North 4 NI Bay of Plenty (BOP) 5 NI East 6 NI West 7 Wairarapa-Cook 8 South I. (SI) Northwest (NW) 9 SI Kaikoura 10 Chatham Is 11 SI Southeast (SE) 12 SI Westland 13 SI Fiordland 14 SI Southern 15 Stewart I. 16 Snares Is 17 Bounty Is 18 Antipodes Is 19 Auckland Is 20 Campbell I).
Figure 5 from: Nelson W, Dalen J, Neill K (2013) Insights from natural history collections: analysing the New Zealand macroalgal flora using herbarium data. PhytoKeys 30: 1-21. https://doi.org/10.3897/phytokeys.30.5889
Figure 5 - Annual (solid line) and cumulative (dashed line) new taxa from selected regions: a Kermadec Is b NI North c Wairarapa-Cook d Chatham Is e Bounty Is f Campbell I.
Data from: The changing uses of herbarium data in an era of global change: an overview using automated content analysis
Open the record for dataset details and reuse information.
Data from: Robust DNA isolation and high-throughput sequencing library construction for herbarium specimens
Open the record for dataset details and reuse information.
Data from: Accelerating plant DNA barcode reference library construction using herbarium specimens: improved experimental techniques
Open the record for dataset details and reuse information.
Figure 2 from: Canhos D (2017) Data Management Plan: Brazil's Virtual Herbarium. Research Ideas and Outcomes 3: e14675. https://doi.org/10.3897/rio.3.e14675
Figure 2 - Information and data flows in the BVH system.
Figure 1 from: Canhos D (2017) Data Management Plan: Brazil's Virtual Herbarium. Research Ideas and Outcomes 3: e14675. https://doi.org/10.3897/rio.3.e14675
Figure 1 - System architecture of the BVH and supporting systems.
Figure 3 from: Nelson W, Dalen J, Neill K (2013) Insights from natural history collections: analysing the New Zealand macroalgal flora using herbarium data. PhytoKeys 30: 1-21. https://doi.org/10.3897/phytokeys.30.5889
Figure 3 - Cumulative total of taxa in the collections.
Figure 2 from: Nelson W, Dalen J, Neill K (2013) Insights from natural history collections: analysing the New Zealand macroalgal flora using herbarium data. PhytoKeys 30: 1-21. https://doi.org/10.3897/phytokeys.30.5889
Figure 2 - Number of new taxa represented in the collection by year of collection.
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.