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.
1,453
datasets available to search
ShareScore release 0.9.0
Dataset results
1,453 results for “Outcome research”
Figure 5 from: Gerovasileiou V, Martínez A, Álvarez F, Boxshall G, Humphreys W, Jaume D, Becking L, Muricy G, van Hengstum P, Dekeyzer S, Decock W, Vanhoorne B, Vandepitte L, Bailly N, Iliffe T (2016) World Register of marine Cave Species (WoRCS): a new Thematic Species Database for marine and anchialine cave biodiversity. Research Ideas and Outcomes 2: e10451. https://doi.org/10.3897/rio.2.e10451
Figure 5 - Example of an image in WoRCS, showing the habitus and some aspects of the biology of a cave species.
Figure 4 from: Gerovasileiou V, Martínez A, Álvarez F, Boxshall G, Humphreys W, Jaume D, Becking L, Muricy G, van Hengstum P, Dekeyzer S, Decock W, Vanhoorne B, Vandepitte L, Bailly N, Iliffe T (2016) World Register of marine Cave Species (WoRCS): a new Thematic Species Database for marine and anchialine cave biodiversity. Research Ideas and Outcomes 2: e10451. https://doi.org/10.3897/rio.2.e10451
Figure 4 - The WoRCS taxon details page includes taxonomic information, references, vernacular names and distribution data, along with a series of attributes gathering information about morphology, biology, reproduction and ecology of each cave species.
Figure 9 from: Faulwetter S, Pafilis E, Fanini L, Bailly N, Agosti D, Arvanitidis C, Boicenco L, Catapano T, Claus S, Dekeyzer S, Georgiev T, Legaki A, Mavraki D, Oulas A, Papastefanou G, Penev L, Sautter G, Schigel D, Senderov V, Teaca A, Tsompanou M (2016) EMODnet Workshop on mechanisms and guidelines to mobilise historical data into biogeographic databases. Research Ideas and Outcomes 2: e10445. https://doi.org/10.3897/rio.2.e10445
Figure 9 - Top: to retrieve a scanned BHL book document from BHL click on the "Download Contents" icon on the top-right and select to browse the corresponding web page on the Internet Archive ("View at Internet Archive"). Bottom: The link to the jpeg2000 (JP2) image is found on the bottom right. Sources: top: http://biodiversitylibrary.org/page/9663476; bottom: https://archive.org/details/mittheilungenaus17staz.
Figure 3 from: Faulwetter S, Pafilis E, Fanini L, Bailly N, Agosti D, Arvanitidis C, Boicenco L, Catapano T, Claus S, Dekeyzer S, Georgiev T, Legaki A, Mavraki D, Oulas A, Papastefanou G, Penev L, Sautter G, Schigel D, Senderov V, Teaca A, Tsompanou M (2016) EMODnet Workshop on mechanisms and guidelines to mobilise historical data into biogeographic databases. Research Ideas and Outcomes 2: e10445. https://doi.org/10.3897/rio.2.e10445
Figure 3 - Examples of stylistic and typographic elements in legacy publications that delay the structured extraction of data: a) ranges or more than one value in one field; b) non-metric units which have to be converted to the SI system; c and d) unclear meaning of symbols; e) font type may cause problems in reading and/or optical character recognition (e.g. misinterpreting an "e" as "c" or "o"; "ll" as "11" or "U", "C" as "C" or "O") (based on a slide by Aglaia Legaki, Gabriella Papastefanou and Marilena Tsompanou).
Figure 10 from: Faulwetter S, Pafilis E, Fanini L, Bailly N, Agosti D, Arvanitidis C, Boicenco L, Catapano T, Claus S, Dekeyzer S, Georgiev T, Legaki A, Mavraki D, Oulas A, Papastefanou G, Penev L, Sautter G, Schigel D, Senderov V, Teaca A, Tsompanou M (2016) EMODnet Workshop on mechanisms and guidelines to mobilise historical data into biogeographic databases. Research Ideas and Outcomes 2: e10445. https://doi.org/10.3897/rio.2.e10445
Figure 10 - Open Data: an emerging landscape of data and other academic publications (based on a slide by Dmitry Schigel).
Figure 8 from: Faulwetter S, Pafilis E, Fanini L, Bailly N, Agosti D, Arvanitidis C, Boicenco L, Catapano T, Claus S, Dekeyzer S, Georgiev T, Legaki A, Mavraki D, Oulas A, Papastefanou G, Penev L, Sautter G, Schigel D, Senderov V, Teaca A, Tsompanou M (2016) EMODnet Workshop on mechanisms and guidelines to mobilise historical data into biogeographic databases. Research Ideas and Outcomes 2: e10445. https://doi.org/10.3897/rio.2.e10445
Figure 8 - Plazi workflow: from the publication through different levels of data processing to final availability of structured data.
Figure 5 from: Faulwetter S, Pafilis E, Fanini L, Bailly N, Agosti D, Arvanitidis C, Boicenco L, Catapano T, Claus S, Dekeyzer S, Georgiev T, Legaki A, Mavraki D, Oulas A, Papastefanou G, Penev L, Sautter G, Schigel D, Senderov V, Teaca A, Tsompanou M (2016) EMODnet Workshop on mechanisms and guidelines to mobilise historical data into biogeographic databases. Research Ideas and Outcomes 2: e10445. https://doi.org/10.3897/rio.2.e10445
Figure 5 - Biodiversity related articles and instructions to the authors available on the Biodiversity Literature Repository home page.
Figure 2 from: Faulwetter S, Pafilis E, Fanini L, Bailly N, Agosti D, Arvanitidis C, Boicenco L, Catapano T, Claus S, Dekeyzer S, Georgiev T, Legaki A, Mavraki D, Oulas A, Papastefanou G, Penev L, Sautter G, Schigel D, Senderov V, Teaca A, Tsompanou M (2016) EMODnet Workshop on mechanisms and guidelines to mobilise historical data into biogeographic databases. Research Ideas and Outcomes 2: e10445. https://doi.org/10.3897/rio.2.e10445
Figure 2 - Stations without coordinates (red box) are commonly listed, as well as non-SI units, here: depth as fathoms (based on a slide by Aglaia Legaki, Gabriella Papastefanou and Marilena Tsompanou).
Figure 4 from: Faulwetter S, Pafilis E, Fanini L, Bailly N, Agosti D, Arvanitidis C, Boicenco L, Catapano T, Claus S, Dekeyzer S, Georgiev T, Legaki A, Mavraki D, Oulas A, Papastefanou G, Penev L, Sautter G, Schigel D, Senderov V, Teaca A, Tsompanou M (2016) EMODnet Workshop on mechanisms and guidelines to mobilise historical data into biogeographic databases. Research Ideas and Outcomes 2: e10445. https://doi.org/10.3897/rio.2.e10445
Figure 4 - Complex natural language features that can lead to incorrect species-occurrence extraction (based on a slide by Aglaia Legaki, Gabriella Papastefanou and Marilena Tsompanou).
Figure 6 from: Faulwetter S, Pafilis E, Fanini L, Bailly N, Agosti D, Arvanitidis C, Boicenco L, Catapano T, Claus S, Dekeyzer S, Georgiev T, Legaki A, Mavraki D, Oulas A, Papastefanou G, Penev L, Sautter G, Schigel D, Senderov V, Teaca A, Tsompanou M (2016) EMODnet Workshop on mechanisms and guidelines to mobilise historical data into biogeographic databases. Research Ideas and Outcomes 2: e10445. https://doi.org/10.3897/rio.2.e10445
Figure 6 - Calman (1906) is available in BLR as https://zenodo.org/record/14941. The taxonomic treatment of Leucon longirostris G.O. Sars (shown above) extracted from this expedition document is also avaible in BLR: https://zenodo.org/record/14942. Both links have unique DOIs assigned to them and thus are also retrievable as https://doi.org/10.5281/zenodo.14941, and https://doi.org/10.5281/zenodo.14942, accordingly.
Figure 1 from: Faulwetter S, Pafilis E, Fanini L, Bailly N, Agosti D, Arvanitidis C, Boicenco L, Catapano T, Claus S, Dekeyzer S, Georgiev T, Legaki A, Mavraki D, Oulas A, Papastefanou G, Penev L, Sautter G, Schigel D, Senderov V, Teaca A, Tsompanou M (2016) EMODnet Workshop on mechanisms and guidelines to mobilise historical data into biogeographic databases. Research Ideas and Outcomes 2: e10445. https://doi.org/10.3897/rio.2.e10445
Figure 1 - Workflow depicting the process of manually extracting data from legacy literature workflow, as currently performed in in EMODnet WP4. Abbreviations: OCR = Optical Character Recognition; OBIS = Ocean Biogeographic Information System; DwC = Darwin Core; IPT = Integrated Publishing Toolkit; medOBIS = Mediterranean Ocean Biogeographic Information System, GBIF = Global Biodiversity Information Facility
Figure 1 from: Madan C (2016) Improved understanding of brain morphology through 3D printing: A brief guide. Research Ideas and Outcomes 2: e10398. https://doi.org/10.3897/rio.2.e10398
Figure 1 - Illustration of the processing pipeline involved in converting a structural MRI volume to a print-ready surface mesh.
Figure 2 from: Madan C (2016) Improved understanding of brain morphology through 3D printing: A brief guide. Research Ideas and Outcomes 2: e10398. https://doi.org/10.3897/rio.2.e10398
Figure 2 - Photos of a resulting 3D-printed surface. (A) View of the full models. (B) Close-up of the coronal cross-section. (C) Close-up of the lateral surface. (D) Photo of the Machina Mk2 X20 printers used to print the models, located at the University of Alberta Libraries.
Figure 2 from: Madan C (2016) Improved understanding of brain morphology through 3D printing: A brief guide. Research Ideas and Outcomes 2: e10266. https://doi.org/10.3897/rio.2.e10266
Figure 2 - Photos of a resulting 3D-printed surface. (A) View of the full models. (B) Close-up of the coronal cross-section. (C) Close-up of the lateral surface. (D) Photo of the Machina Mk2 X20 printers used to print the models, located at the University of Alberta Libraries.
Figure 1 from: Madan C (2016) Improved understanding of brain morphology through 3D printing: A brief guide. Research Ideas and Outcomes 2: e10266. https://doi.org/10.3897/rio.2.e10266
Figure 1 - Illustration of the processing pipeline involved in converting a structural MRI volume to a print-ready surface mesh.
Figure 1 from: Smith C, Todd M, Patiny L, Swain C, Southan C, Williamson A, Clark A (2016) SCINDR - The SCience INtroDuction Robot that will Connect Open Scientists. Research Ideas and Outcomes 2: e9995. https://doi.org/10.3897/rio.2.e9995
Figure 1 - SCINDR, the Science Introduction Robot, watches health research being carried out and, like a good host, introduces people with shared interests, so they can do better work together.
Figure 2 from: Smith C, Todd M, Patiny L, Swain C, Southan C, Williamson A, Clark A (2016) SCINDR - The SCience INtroDuction Robot that will Connect Open Scientists. Research Ideas and Outcomes 2: e9995. https://doi.org/10.3897/rio.2.e9995
Figure 2 - Example of currently functioning Electronic Laboratory Notebook (ELN) entry to which SCINDR will be added. Further enhancements such as real time NMR, LCMS and IR data visualization have been developed and will be added to extend the ELN capability.
Figure 1 from: Irawan D, Priyambodho A, Rachmi C, Wibowo D, Fahmi A (2016) Bibliometric study to assist research topic selection: a case from research design on Jakarta's groundwater (part 1). Research Ideas and Outcomes 2: e9841. https://doi.org/10.3897/rio.2.e9841
Figure 1 - Density map of the papers based on the key words (Red: dense paper population, green: less dense). Dataset is available as Suppl. material 1 (in Irawan et al. 2016).
Figure 1d from: Datry T, Singer G, Sauquet E, Jorda-Capdevilla D, Von Schiller D, Subbington R, Magand C, Pařil P, Miliša M, Acuña V, Alves M, Augeard B, Brunke M, Cid N, Csabai Z, England J, Froebrich J, Koundouri P, Lamouroux N, Martí E, Morais M, Munné A, Mutz M, Pesic V, Previšić A, Reynaud A, Robinson C, Sadler J, Skoulikidis N, Terrier B, Tockner K, Vesely D, Zoppini A (2017) Science and Management of Intermittent Rivers and Ephemeral Streams (SMIRES). Research Ideas and Outcomes 3: e21774. https://doi.org/10.3897/rio.3.e21774
Figure 1d - Two examples of IRES during contrasting hydrological phases. <br> The Calavon River in Mediterranean during dry phase
Figure 1a from: Datry T, Singer G, Sauquet E, Jorda-Capdevilla D, Von Schiller D, Subbington R, Magand C, Pařil P, Miliša M, Acuña V, Alves M, Augeard B, Brunke M, Cid N, Csabai Z, England J, Froebrich J, Koundouri P, Lamouroux N, Martí E, Morais M, Munné A, Mutz M, Pesic V, Previšić A, Reynaud A, Robinson C, Sadler J, Skoulikidis N, Terrier B, Tockner K, Vesely D, Zoppini A (2017) Science and Management of Intermittent Rivers and Ephemeral Streams (SMIRES). Research Ideas and Outcomes 3: e21774. https://doi.org/10.3897/rio.3.e21774
Figure 1a - Two examples of IRES during contrasting hydrological phases. <br> The Clauge River in the temperate Jura, France, during dry phase
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.