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226 results for “Grooming”

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zenodo32/100

Supplementary material 1 from: Uludağ A, Aksoy N, Yazlık A, Arslan ZF, Yazmış E, Üremiş I, Cossu TA, Groom Q, Pergl J, Pyšek P, Brundu G (2017) Alien flora of Turkey: checklist, taxonomic composition and ecological attributes. NeoBiota 35: 61-85. https://doi.org/10.3897/neobiota.35.12460

Alien flora of Turkey: checklist, taxonomic composition and ecological attributes : Explanation note: List of alien taxa in the flora of Turkey. Taxa are ordered alphabetically. Each taxon is listed together with its family, residence time, invasion status, life-form according to Raunkiaer, growth for according to the Thesaurus of Plant Characteristics for Ecology and Evolution, simplified growth-form, life history, reasons for intentional and accidental introduction. The last five columns on the right list habitats where the species is found in Turkey. This list includes also 47 frequently planted taxa.

opencc-by-4.0Jun 2017View details →
zenodo32/100

Supplementary material 2 from: Runnel V, Wetzel F, Groom Q, Koch W, Pe'er I, Valland N, Panteri E, Kõljalg U (2016) Summary report and strategy recommendations for EU citizen science gateway for biodiversity data. Research Ideas and Outcomes 2: e11563. https://doi.org/10.3897/rio.2.e11563

EU BON conducted a survey to assess how willing are researchers to recruit volunteers in their work, what are the main effects, motivators and hindrances.

opencc-zeroDec 2016View details →
zenodo32/100

Supplementary material 3 from: Runnel V, Wetzel F, Groom Q, Koch W, Pe'er I, Valland N, Panteri E, Kõljalg U (2016) Summary report and strategy recommendations for EU citizen science gateway for biodiversity data. Research Ideas and Outcomes 2: e11563. https://doi.org/10.3897/rio.2.e11563

Citizen science and biodiversity observations – EU BON best practice cases of initiatives, systems and tools.

opencc-zeroDec 2016View details →
zenodo32/100

Supplementary material 3 from: Groom Q, Desmet P, Reyserhove L, Adriaens T, Oldoni D, Vanderhoeven S, Baskauf SJ, Chapman A, McGeoch M, Walls R, Wieczorek J, Wilson JR.U, Zermoglio PFF, Simpson A (2019) Improving Darwin Core for research and management of alien species. Biodiversity Information Science and Standards 3: e38084. https://doi.org/10.3897/biss.3.38084

The Convention on Biological Diversity pathway vocabulary adapted from Harrower et al. 2017. Including proposed simple labels for these terms.

opencc-zeroOct 2019View details →
zenodo32/100

Supplementary material 1 from: Groom Q, Desmet P, Reyserhove L, Adriaens T, Oldoni D, Vanderhoeven S, Baskauf SJ, Chapman A, McGeoch M, Walls R, Wieczorek J, Wilson JR.U, Zermoglio PFF, Simpson A (2019) Improving Darwin Core for research and management of alien species. Biodiversity Information Science and Standards 3: e38084. https://doi.org/10.3897/biss.3.38084

Distinct values for dwc:establishmentMeans and their frequency from observations on the Global Biodiversity Information Facility on 27 February 2017. Taken from GitHub repository of the Darwin Core Questions & Answers Site (https://github.com/tdwg/dwc-qa/tree/master/data/GBIFDistinctValues).

opencc-zeroOct 2019View details →
zenodo32/100

Supplementary material 2 from: Groom Q, Desmet P, Reyserhove L, Adriaens T, Oldoni D, Vanderhoeven S, Baskauf SJ, Chapman A, McGeoch M, Walls R, Wieczorek J, Wilson JR.U, Zermoglio PFF, Simpson A (2019) Improving Darwin Core for research and management of alien species. Biodiversity Information Science and Standards 3: e38084. https://doi.org/10.3897/biss.3.38084

A tab-delimited file mapping values (synonyms; orthographic and language variations) found in Darwin Core dwc:establishmentMeans to a controlled vocabulary.

opencc-zeroOct 2019View details →
zenodo32/100

Supplementary material 1 from: Penev L, Koureas D, Groom Q, Lanfear J, Agosti D, Casino A, Miller J, Arvanitidis C, Cochrane G, Barov B, Hobern D, Banki O, Addink W, Kõljalg U, Ruch P, Copas K, Mergen P, Güntsch A, Benichou L, Benito Gonzalez Lopez J (2021) Towards Interlinked FAIR Biodiversity Knowledge: The BiCIKL perspective. Biodiversity Information Science and Standards 5: e74233. https://doi.org/10.3897/biss.5.74233

The BiCIKL (Biodiversity Community Integrated Knowledge Library) Project Presentation: Goals and Ambitions

opencc-zeroSep 2021View details →
dryad32/100

Data from: Role of grooming in reducing tick load in wild baboons (Papio cynocephalus)

Open the record for dataset details and reuse information.

publicMay 2013View details →
dryad32/100

Data from: Impact of external odor on self-grooming of lesser flat-headed bats, Tylonycteris pachypus

Open the record for dataset details and reuse information.

publicJun 2019View details →
dryad32/100

Data from: Epizoochorous dispersal by ungulates depends on fur, grooming and social interactions

Open the record for dataset details and reuse information.

publicDec 2018View details →
zenodo28/100

Adult_Hooded_Rat_Grooming

Drawing uploaded to scidraw.io on: 18 November 2019

opencc-by-4.0Jun 2020View details →
zenodo28/100

Figure 1d from: Owen D, Livermore L, Groom Q, Hardisty A, Leegwater T, van Walsum M, Wijkamp N, Spasić I (2020) Towards a scientific workflow featuring Natural Language Processing for the digitisation of natural history collections. Research Ideas and Outcomes 6: e55789. https://doi.org/10.3897/rio.6.e55789

Figure 1d A range of sample specimens that demonstrate the wide taxonomic range of specimens encountered in collections. They also demonstrate the diversity of label types, which include handwritten, typed, and printed labels. Note the presence of various barcodes, rulers, and a colour chart in addition to labels describing the origin of the specimen and its identity. - Fossilised animal skin (Natural History Museum 2009)

opencc-by-4.0Jul 2020View details →
zenodo28/100

Figure 1b from: Owen D, Livermore L, Groom Q, Hardisty A, Leegwater T, van Walsum M, Wijkamp N, Spasić I (2020) Towards a scientific workflow featuring Natural Language Processing for the digitisation of natural history collections. Research Ideas and Outcomes 6: e55789. https://doi.org/10.3897/rio.6.e55789

Figure 1b A range of sample specimens that demonstrate the wide taxonomic range of specimens encountered in collections. They also demonstrate the diversity of label types, which include handwritten, typed, and printed labels. Note the presence of various barcodes, rulers, and a colour chart in addition to labels describing the origin of the specimen and its identity. - Pinned insect specimen (Natural History Museum 2018)

opencc-by-4.0Jul 2020View details →
zenodo28/100

Figure 1c from: Owen D, Livermore L, Groom Q, Hardisty A, Leegwater T, van Walsum M, Wijkamp N, Spasić I (2020) Towards a scientific workflow featuring Natural Language Processing for the digitisation of natural history collections. Research Ideas and Outcomes 6: e55789. https://doi.org/10.3897/rio.6.e55789

Figure 1c A range of sample specimens that demonstrate the wide taxonomic range of specimens encountered in collections. They also demonstrate the diversity of label types, which include handwritten, typed, and printed labels. Note the presence of various barcodes, rulers, and a colour chart in addition to labels describing the origin of the specimen and its identity. - Microscope slide (Natural History Museum 2017)

opencc-by-4.0Jul 2020View details →
zenodo28/100

Figure 1a from: Owen D, Livermore L, Groom Q, Hardisty A, Leegwater T, van Walsum M, Wijkamp N, Spasić I (2020) Towards a scientific workflow featuring Natural Language Processing for the digitisation of natural history collections. Research Ideas and Outcomes 6: e55789. https://doi.org/10.3897/rio.6.e55789

Figure 1a A range of sample specimens that demonstrate the wide taxonomic range of specimens encountered in collections. They also demonstrate the diversity of label types, which include handwritten, typed, and printed labels. Note the presence of various barcodes, rulers, and a colour chart in addition to labels describing the origin of the specimen and its identity. - Herbarium specimen (Natural History Museum 2007a)

opencc-by-4.0Jul 2020View details →
zenodo28/100

Figure 11 from: Owen D, Livermore L, Groom Q, Hardisty A, Leegwater T, van Walsum M, Wijkamp N, Spasić I (2020) Towards a scientific workflow featuring Natural Language Processing for the digitisation of natural history collections. Research Ideas and Outcomes 6: e55789. https://doi.org/10.3897/rio.6.e55789

Figure 11 The distribution of languages across the specimen and herbaria. EN=English, FR=French, LA=Latin, ET=Estonian, DE=German, NL=Dutch, PT=Portuguese, ES=Spanish, SV=Swedish, RU=Russian, FI=Finnish, IT=Italian, ZZ=Unknown. The codes for the contributing herbaria are listed in Table 11 (from Dillen et al. 2019).

opencc-by-4.0Jul 2020View details →
zenodo28/100

Supplementary material 1 from: Owen D, Livermore L, Groom Q, Hardisty A, Leegwater T, van Walsum M, Wijkamp N, Spasić I (2020) Towards a scientific workflow featuring Natural Language Processing for the digitisation of natural history collections. Research Ideas and Outcomes 6: e55789. https://doi.org/10.3897/rio.6.e55789

Appendices

opencc-zeroJul 2020View details →
zenodo28/100

Figure 1e from: Owen D, Livermore L, Groom Q, Hardisty A, Leegwater T, van Walsum M, Wijkamp N, Spasić I (2020) Towards a scientific workflow featuring Natural Language Processing for the digitisation of natural history collections. Research Ideas and Outcomes 6: e55789. https://doi.org/10.3897/rio.6.e55789

Figure 1e A range of sample specimens that demonstrate the wide taxonomic range of specimens encountered in collections. They also demonstrate the diversity of label types, which include handwritten, typed, and printed labels. Note the presence of various barcodes, rulers, and a colour chart in addition to labels describing the origin of the specimen and its identity. - Liquid preserved specimen (Natural History Museum 2010)

opencc-by-4.0Jul 2020View details →
zenodo28/100

Figure 7 from: Walton S, Livermore L, Dillen M, De Smedt S, Groom Q, Koivunen A, Phillips S (2020) A cost analysis of transcription systems. Research Ideas and Outcomes 6: e56211. https://doi.org/10.3897/rio.6.e56211

Figure 7 Distribution of the time to transcribe a single herbarium sheet. All times greater than 1000 seconds have been aggregated in a single bar. Graph generated in R 3.6.1.

opencc-by-4.0Jul 2020View details →
zenodo28/100

Supplementary material 4 from: Seebens H, Clarke DA, Groom Q, Wilson JRU, García-Berthou E, Kühn I, Roigé M, Pagad S, Essl F, Vicente J, Winter M, McGeoch M (2020) A workflow for standardising and integrating alien species distribution data. NeoBiota 59: 39-59. https://doi.org/10.3897/neobiota.59.53578

Intermediate output files of the case study applying the SInAS workflow

opencc-zeroAug 2020View details →

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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