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.

2,025

datasets available to search

ShareScore release 0.9.0

Reset

Dataset results

2,025 results for “R&D”

Learn how ShareScore rates datasets ↗
zenodo28/100

Figure 1 from: Borremans C, Durden J, Schoening T, Curtis EJ, Adams L, Branzan Albu A, Arnaubec A, Ayata S-D, Baburaj R, Bassin C, Beck M, Bigham KT, Boschen-Rose RE, Collett C, Contini M, Correa PVF, Dominguez-Carrió C, Dreyfus G, Duncan G, Ferrera M, Foulon V, Friedman A, Gaikwad S, Game C, Gaytán-Caballero A, Girard F, Giusti M, Hanafi-Portier M, Howell K, Hulevata I, Itiowe K, Jackett C, Jansen J, Karthäuser C, Katija K, Kernec M, Kim G, Kitahara M, Langenkämper D, Langlois T, Lanteri N, Jianping Li C, Li Q-R, Liabot P-O, Lindsay D, Loulidi A, Marcon Y, Marini S, Marranzino A, Massot-Campos M, Matabos M, Menot L, Moreno B, Morrissey M, Nakath D, Nattkemper T, Neufeld M, Obst M, Olu K, Parimbelli A, Pasotti F, Pelletier D, Perhirin M, Piechaud N, Pizarro O, Purser A, Rodrigues CF, Ceballos Romero E, Schlining B, Song Y, Sosik HM, Sourisseau M, Taormina B, Taucher J, Thornton B, Van Audenhaege L, von der Meden C, Wacquet G, Williams J, Witting K, Zurowietz M (2024) Report on the Marine Imaging Workshop 2022. Research Ideas and Outcomes 10: e119782. https://doi.org/10.3897/rio.10.e119782

Figure 1 In-person participants of the Marine Imaging Workshop 2022 (photo credit: Olivier Dugornay, Ifremer).

opencc-by-4.0Mar 2024View details →
zenodo28/100

Figure 12 from: Borremans C, Durden J, Schoening T, Curtis EJ, Adams L, Branzan Albu A, Arnaubec A, Ayata S-D, Baburaj R, Bassin C, Beck M, Bigham KT, Boschen-Rose RE, Collett C, Contini M, Correa PVF, Dominguez-Carrió C, Dreyfus G, Duncan G, Ferrera M, Foulon V, Friedman A, Gaikwad S, Game C, Gaytán-Caballero A, Girard F, Giusti M, Hanafi-Portier M, Howell K, Hulevata I, Itiowe K, Jackett C, Jansen J, Karthäuser C, Katija K, Kernec M, Kim G, Kitahara M, Langenkämper D, Langlois T, Lanteri N, Jianping Li C, Li Q-R, Liabot P-O, Lindsay D, Loulidi A, Marcon Y, Marini S, Marranzino A, Massot-Campos M, Matabos M, Menot L, Moreno B, Morrissey M, Nakath D, Nattkemper T, Neufeld M, Obst M, Olu K, Parimbelli A, Pasotti F, Pelletier D, Perhirin M, Piechaud N, Pizarro O, Purser A, Rodrigues CF, Ceballos Romero E, Schlining B, Song Y, Sosik HM, Sourisseau M, Taormina B, Taucher J, Thornton B, Van Audenhaege L, von der Meden C, Wacquet G, Williams J, Witting K, Zurowietz M (2024) Report on the Marine Imaging Workshop 2022. Research Ideas and Outcomes 10: e119782. https://doi.org/10.3897/rio.10.e119782

Figure 12 Polling results of discussion session 5 "Future of marine imaging", question 1: "Where have you seen the biggest progress of marine imaging during this workshop?.

opencc-by-4.0Mar 2024View details →
zenodo28/100

Figure 4 from: Borremans C, Durden J, Schoening T, Curtis EJ, Adams L, Branzan Albu A, Arnaubec A, Ayata S-D, Baburaj R, Bassin C, Beck M, Bigham KT, Boschen-Rose RE, Collett C, Contini M, Correa PVF, Dominguez-Carrió C, Dreyfus G, Duncan G, Ferrera M, Foulon V, Friedman A, Gaikwad S, Game C, Gaytán-Caballero A, Girard F, Giusti M, Hanafi-Portier M, Howell K, Hulevata I, Itiowe K, Jackett C, Jansen J, Karthäuser C, Katija K, Kernec M, Kim G, Kitahara M, Langenkämper D, Langlois T, Lanteri N, Jianping Li C, Li Q-R, Liabot P-O, Lindsay D, Loulidi A, Marcon Y, Marini S, Marranzino A, Massot-Campos M, Matabos M, Menot L, Moreno B, Morrissey M, Nakath D, Nattkemper T, Neufeld M, Obst M, Olu K, Parimbelli A, Pasotti F, Pelletier D, Perhirin M, Piechaud N, Pizarro O, Purser A, Rodrigues CF, Ceballos Romero E, Schlining B, Song Y, Sosik HM, Sourisseau M, Taormina B, Taucher J, Thornton B, Van Audenhaege L, von der Meden C, Wacquet G, Williams J, Witting K, Zurowietz M (2024) Report on the Marine Imaging Workshop 2022. Research Ideas and Outcomes 10: e119782. https://doi.org/10.3897/rio.10.e119782

Figure 4 Polling results of discussion session 1 "Extent of imaging", question 3: "Which area/volume does all image data you have ever worked with cover?".

opencc-by-4.0Mar 2024View details →
zenodo28/100

Figure 11 from: Borremans C, Durden J, Schoening T, Curtis EJ, Adams L, Branzan Albu A, Arnaubec A, Ayata S-D, Baburaj R, Bassin C, Beck M, Bigham KT, Boschen-Rose RE, Collett C, Contini M, Correa PVF, Dominguez-Carrió C, Dreyfus G, Duncan G, Ferrera M, Foulon V, Friedman A, Gaikwad S, Game C, Gaytán-Caballero A, Girard F, Giusti M, Hanafi-Portier M, Howell K, Hulevata I, Itiowe K, Jackett C, Jansen J, Karthäuser C, Katija K, Kernec M, Kim G, Kitahara M, Langenkämper D, Langlois T, Lanteri N, Jianping Li C, Li Q-R, Liabot P-O, Lindsay D, Loulidi A, Marcon Y, Marini S, Marranzino A, Massot-Campos M, Matabos M, Menot L, Moreno B, Morrissey M, Nakath D, Nattkemper T, Neufeld M, Obst M, Olu K, Parimbelli A, Pasotti F, Pelletier D, Perhirin M, Piechaud N, Pizarro O, Purser A, Rodrigues CF, Ceballos Romero E, Schlining B, Song Y, Sosik HM, Sourisseau M, Taormina B, Taucher J, Thornton B, Van Audenhaege L, von der Meden C, Wacquet G, Williams J, Witting K, Zurowietz M (2024) Report on the Marine Imaging Workshop 2022. Research Ideas and Outcomes 10: e119782. https://doi.org/10.3897/rio.10.e119782

Figure 11 Polling results of discussion session 4 "Reproducibility", question 2: "Can we reproduce studies at all?".

opencc-by-4.0Mar 2024View details →
zenodo28/100

Figure 3 from: Borremans C, Durden J, Schoening T, Curtis EJ, Adams L, Branzan Albu A, Arnaubec A, Ayata S-D, Baburaj R, Bassin C, Beck M, Bigham KT, Boschen-Rose RE, Collett C, Contini M, Correa PVF, Dominguez-Carrió C, Dreyfus G, Duncan G, Ferrera M, Foulon V, Friedman A, Gaikwad S, Game C, Gaytán-Caballero A, Girard F, Giusti M, Hanafi-Portier M, Howell K, Hulevata I, Itiowe K, Jackett C, Jansen J, Karthäuser C, Katija K, Kernec M, Kim G, Kitahara M, Langenkämper D, Langlois T, Lanteri N, Jianping Li C, Li Q-R, Liabot P-O, Lindsay D, Loulidi A, Marcon Y, Marini S, Marranzino A, Massot-Campos M, Matabos M, Menot L, Moreno B, Morrissey M, Nakath D, Nattkemper T, Neufeld M, Obst M, Olu K, Parimbelli A, Pasotti F, Pelletier D, Perhirin M, Piechaud N, Pizarro O, Purser A, Rodrigues CF, Ceballos Romero E, Schlining B, Song Y, Sosik HM, Sourisseau M, Taormina B, Taucher J, Thornton B, Van Audenhaege L, von der Meden C, Wacquet G, Williams J, Witting K, Zurowietz M (2024) Report on the Marine Imaging Workshop 2022. Research Ideas and Outcomes 10: e119782. https://doi.org/10.3897/rio.10.e119782

Figure 3 Polling results of discussion session 1 "Extent of imaging", question 2: "Have you used crowd-sourced marine image data?".

opencc-by-4.0Mar 2024View details →
zenodo28/100

Figure 10 from: Borremans C, Durden J, Schoening T, Curtis EJ, Adams L, Branzan Albu A, Arnaubec A, Ayata S-D, Baburaj R, Bassin C, Beck M, Bigham KT, Boschen-Rose RE, Collett C, Contini M, Correa PVF, Dominguez-Carrió C, Dreyfus G, Duncan G, Ferrera M, Foulon V, Friedman A, Gaikwad S, Game C, Gaytán-Caballero A, Girard F, Giusti M, Hanafi-Portier M, Howell K, Hulevata I, Itiowe K, Jackett C, Jansen J, Karthäuser C, Katija K, Kernec M, Kim G, Kitahara M, Langenkämper D, Langlois T, Lanteri N, Jianping Li C, Li Q-R, Liabot P-O, Lindsay D, Loulidi A, Marcon Y, Marini S, Marranzino A, Massot-Campos M, Matabos M, Menot L, Moreno B, Morrissey M, Nakath D, Nattkemper T, Neufeld M, Obst M, Olu K, Parimbelli A, Pasotti F, Pelletier D, Perhirin M, Piechaud N, Pizarro O, Purser A, Rodrigues CF, Ceballos Romero E, Schlining B, Song Y, Sosik HM, Sourisseau M, Taormina B, Taucher J, Thornton B, Van Audenhaege L, von der Meden C, Wacquet G, Williams J, Witting K, Zurowietz M (2024) Report on the Marine Imaging Workshop 2022. Research Ideas and Outcomes 10: e119782. https://doi.org/10.3897/rio.10.e119782

Figure 10 Polling results of discussion session 4 "Reproducibility", question 1: "Which part of Findable/Accessible/Interoperable/Reusable is most important to improve reproducibility?".

opencc-by-4.0Mar 2024View details →
zenodo28/100

Figure 6 from: Borremans C, Durden J, Schoening T, Curtis EJ, Adams L, Branzan Albu A, Arnaubec A, Ayata S-D, Baburaj R, Bassin C, Beck M, Bigham KT, Boschen-Rose RE, Collett C, Contini M, Correa PVF, Dominguez-Carrió C, Dreyfus G, Duncan G, Ferrera M, Foulon V, Friedman A, Gaikwad S, Game C, Gaytán-Caballero A, Girard F, Giusti M, Hanafi-Portier M, Howell K, Hulevata I, Itiowe K, Jackett C, Jansen J, Karthäuser C, Katija K, Kernec M, Kim G, Kitahara M, Langenkämper D, Langlois T, Lanteri N, Jianping Li C, Li Q-R, Liabot P-O, Lindsay D, Loulidi A, Marcon Y, Marini S, Marranzino A, Massot-Campos M, Matabos M, Menot L, Moreno B, Morrissey M, Nakath D, Nattkemper T, Neufeld M, Obst M, Olu K, Parimbelli A, Pasotti F, Pelletier D, Perhirin M, Piechaud N, Pizarro O, Purser A, Rodrigues CF, Ceballos Romero E, Schlining B, Song Y, Sosik HM, Sourisseau M, Taormina B, Taucher J, Thornton B, Van Audenhaege L, von der Meden C, Wacquet G, Williams J, Witting K, Zurowietz M (2024) Report on the Marine Imaging Workshop 2022. Research Ideas and Outcomes 10: e119782. https://doi.org/10.3897/rio.10.e119782

Figure 6 Polling results of discussion session 2 "Interoperability in marine imaging", question 2: "Who has a mandate to define interfaces for interoperability between marine imaging software tools?".

opencc-by-4.0Mar 2024View details →
zenodo28/100

Figure 5 from: Borremans C, Durden J, Schoening T, Curtis EJ, Adams L, Branzan Albu A, Arnaubec A, Ayata S-D, Baburaj R, Bassin C, Beck M, Bigham KT, Boschen-Rose RE, Collett C, Contini M, Correa PVF, Dominguez-Carrió C, Dreyfus G, Duncan G, Ferrera M, Foulon V, Friedman A, Gaikwad S, Game C, Gaytán-Caballero A, Girard F, Giusti M, Hanafi-Portier M, Howell K, Hulevata I, Itiowe K, Jackett C, Jansen J, Karthäuser C, Katija K, Kernec M, Kim G, Kitahara M, Langenkämper D, Langlois T, Lanteri N, Jianping Li C, Li Q-R, Liabot P-O, Lindsay D, Loulidi A, Marcon Y, Marini S, Marranzino A, Massot-Campos M, Matabos M, Menot L, Moreno B, Morrissey M, Nakath D, Nattkemper T, Neufeld M, Obst M, Olu K, Parimbelli A, Pasotti F, Pelletier D, Perhirin M, Piechaud N, Pizarro O, Purser A, Rodrigues CF, Ceballos Romero E, Schlining B, Song Y, Sosik HM, Sourisseau M, Taormina B, Taucher J, Thornton B, Van Audenhaege L, von der Meden C, Wacquet G, Williams J, Witting K, Zurowietz M (2024) Report on the Marine Imaging Workshop 2022. Research Ideas and Outcomes 10: e119782. https://doi.org/10.3897/rio.10.e119782

Figure 5 Polling results of discussion session 2 "Interoperability in marine imaging", question 1: "Which improvements to interoperability would be most useful to you?".

opencc-by-4.0Mar 2024View details →
zenodo28/100

Figure 8 from: Borremans C, Durden J, Schoening T, Curtis EJ, Adams L, Branzan Albu A, Arnaubec A, Ayata S-D, Baburaj R, Bassin C, Beck M, Bigham KT, Boschen-Rose RE, Collett C, Contini M, Correa PVF, Dominguez-Carrió C, Dreyfus G, Duncan G, Ferrera M, Foulon V, Friedman A, Gaikwad S, Game C, Gaytán-Caballero A, Girard F, Giusti M, Hanafi-Portier M, Howell K, Hulevata I, Itiowe K, Jackett C, Jansen J, Karthäuser C, Katija K, Kernec M, Kim G, Kitahara M, Langenkämper D, Langlois T, Lanteri N, Jianping Li C, Li Q-R, Liabot P-O, Lindsay D, Loulidi A, Marcon Y, Marini S, Marranzino A, Massot-Campos M, Matabos M, Menot L, Moreno B, Morrissey M, Nakath D, Nattkemper T, Neufeld M, Obst M, Olu K, Parimbelli A, Pasotti F, Pelletier D, Perhirin M, Piechaud N, Pizarro O, Purser A, Rodrigues CF, Ceballos Romero E, Schlining B, Song Y, Sosik HM, Sourisseau M, Taormina B, Taucher J, Thornton B, Van Audenhaege L, von der Meden C, Wacquet G, Williams J, Witting K, Zurowietz M (2024) Report on the Marine Imaging Workshop 2022. Research Ideas and Outcomes 10: e119782. https://doi.org/10.3897/rio.10.e119782

Figure 8 Polling results of discussion session 3 "Automation", question 2: "Is AI for underwater images fundamentally different to existing "in-air" methods?".

opencc-by-4.0Mar 2024View details →
zenodo28/100

Supplementary material 2 from: Wang L-H, Li S, Zhang D-N, Liu Q-R (2024) A new combination and synonym in Bupleurum (Apiaceae, Apioideae), based on morphological, molecular and cytological evidence. PhytoKeys 239: 239-253. https://doi.org/10.3897/phytokeys.239.116877

Traits selected for subsequent principal component and cluster analysis after the first PGA

opencc-zeroMar 2024View details →
zenodo28/100

Figure 4 from: Wang L-H, Li S, Zhang D-N, Liu Q-R (2024) A new combination and synonym in Bupleurum (Apiaceae, Apioideae), based on morphological, molecular and cytological evidence. PhytoKeys 239: 239-253. https://doi.org/10.3897/phytokeys.239.116877

Figure 4 Cluster plot for the morphological variations among four taxa. C = Bupleurum commelynoideum var. commelynoideumF = B. commelynoideum var. flaviflorumP = B. smithii var. parvifoliumS = B. smithii var. smithii.

opencc-by-4.0Mar 2024View details →
zenodo28/100

Figure 3 from: Wang L-H, Li S, Zhang D-N, Liu Q-R (2024) A new combination and synonym in Bupleurum (Apiaceae, Apioideae), based on morphological, molecular and cytological evidence. PhytoKeys 239: 239-253. https://doi.org/10.3897/phytokeys.239.116877

Figure 3 Fruit morphology ABupleurum smithii var. smithiiBB. smithii var. auriculatumCB. smithii var. parvifoliumDB. commelynoideum var. flaviflorum

opencc-by-4.0Mar 2024View details →
zenodo28/100

Figure 2 from: Wang L-H, Li S, Zhang D-N, Liu Q-R (2024) A new combination and synonym in Bupleurum (Apiaceae, Apioideae), based on morphological, molecular and cytological evidence. PhytoKeys 239: 239-253. https://doi.org/10.3897/phytokeys.239.116877

Figure 2 Umbel and bract ABupleurum smithii var. smithiiBB. smithii var. parvifoliumCB. commelynoideum var. flaviflorumDB. commelynoideum var. commelynoideum.

opencc-by-4.0Mar 2024View details →
zenodo28/100

Figure 1 from: Wang L-H, Li S, Zhang D-N, Liu Q-R (2024) A new combination and synonym in Bupleurum (Apiaceae, Apioideae), based on morphological, molecular and cytological evidence. PhytoKeys 239: 239-253. https://doi.org/10.3897/phytokeys.239.116877

Figure 1 Comparison of the characters A width of middle leaves B width of bracteoles C length of bracteoles D number of rays. BS = Bupleurum smithii var. smithiiBP = B. smithii var. parvifoliumBF = B. commelynoideum var. flaviflorumBC = B. commelynoideum var. commelynoideum.

opencc-by-4.0Mar 2024View details →
zenodo28/100

Supplementary material 1 from: Wang L-H, Li S, Zhang D-N, Liu Q-R (2024) A new combination and synonym in Bupleurum (Apiaceae, Apioideae), based on morphological, molecular and cytological evidence. PhytoKeys 239: 239-253. https://doi.org/10.3897/phytokeys.239.116877

Specimens for measurements and initial measurements of traits data

opencc-zeroMar 2024View details →
zenodo28/100

Figure 7 from: Wang L-H, Li S, Zhang D-N, Liu Q-R (2024) A new combination and synonym in Bupleurum (Apiaceae, Apioideae), based on morphological, molecular and cytological evidence. PhytoKeys 239: 239-253. https://doi.org/10.3897/phytokeys.239.116877

Figure 7 Distribution area based on specimen records and our field investigation ABupleurum smithii var. smithiiBB. smithii var. parvifoliumCB. commelynoideum var. flaviflorumDB. commelynoideum var. commelynoideum

opencc-by-4.0Mar 2024View details →
zenodo28/100

Figure 5 from: Wang L-H, Li S, Zhang D-N, Liu Q-R (2024) A new combination and synonym in Bupleurum (Apiaceae, Apioideae), based on morphological, molecular and cytological evidence. PhytoKeys 239: 239-253. https://doi.org/10.3897/phytokeys.239.116877

Figure 5 Metaphase chromosomes ABupleurum smithii var. smithiiBB. smithii var. auriculatumCB. smithii var. parvifoliumDB. commelynoideum var. flaviflorum.

opencc-by-4.0Mar 2024View details →
zenodo28/100

Figure 6 from: Xu R-F, Karunarathna SC, Phukhamsakda C, Dai D-Q, Elgorban AM, Suwannarach N, Kumla J, Wang X-Y, Tibpromma S (2024) Four new species of Dothideomycetes (Ascomycota) from Pará Rubber (Hevea brasiliensis) in Yunnan Province, China. MycoKeys 103: 71-95. https://doi.org/10.3897/mycokeys.103.117580

Figure 6 Pseudochaetosphaeronema xishuangbannaensis (ZHKU 23–0107, holotype) a–c appearance of ascomata on host substrate d section of an ascoma e peridium f pesudoparaphyses g–j asci m–t ascospores u ascospore stained with Indian ink k, l colonies on PDA (k-front and l-reverse view). Scale bars: 200 µm (d); 100 µm (e); 50 µm (f–j); 10 µm (m–t); 20 µm (u).

opencc-by-4.0Mar 2024View details →
zenodo28/100

Figure 5 from: Xu R-F, Karunarathna SC, Phukhamsakda C, Dai D-Q, Elgorban AM, Suwannarach N, Kumla J, Wang X-Y, Tibpromma S (2024) Four new species of Dothideomycetes (Ascomycota) from Pará Rubber (Hevea brasiliensis) in Yunnan Province, China. MycoKeys 103: 71-95. https://doi.org/10.3897/mycokeys.103.117580

Figure 5 Pseudochaetosphaeronema lincangensis (ZHKU 23–0105, holotype) a, b appearance of ascomata on host substrate c vertical section of an ascoma d section of peridium e pseudoparaphyses f–i asci j a germinated ascospore l–q ascospores k ascospore stained with Indian ink r, s colonies on PDA (r-front and s-reverse views). Scale bars: 100 µm (c); 50 µm (d); 30 µm (e–j); 200 µm (g); 10 µm (k, l–q).

opencc-by-4.0Mar 2024View details →
zenodo28/100

Figure 4 from: Xu R-F, Karunarathna SC, Phukhamsakda C, Dai D-Q, Elgorban AM, Suwannarach N, Kumla J, Wang X-Y, Tibpromma S (2024) Four new species of Dothideomycetes (Ascomycota) from Pará Rubber (Hevea brasiliensis) in Yunnan Province, China. MycoKeys 103: 71-95. https://doi.org/10.3897/mycokeys.103.117580

Figure 4 Nigrograna lincangensis (ZHKU 23–0104, holotype) a–c appearance of ascomata on the host surface d vertical section of an ascoma e vertical section of ostiole f hamathecium and asci g section of peridium h–k asci l ascospores m a germinated ascospore n, o colonies on PDA (n-front and o-reverse views). Scale bars: 100 µm (d); 50 µm (e); 30 µm (f); 200 µm (g); 10 µm (h–k); 5 µm (l); 20 µm (m).

opencc-by-4.0Mar 2024View 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