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1,453 results for “Outcome research”
Figure 9 from: Faulwetter S, Pafilis E, Fanini L, Bailly N, Agosti D, Arvanitidis C, Boicenco L, Capatano 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: e9774. https://doi.org/10.3897/rio.2.e9774
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 8 from: Faulwetter S, Pafilis E, Fanini L, Bailly N, Agosti D, Arvanitidis C, Boicenco L, Capatano 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: e9774. https://doi.org/10.3897/rio.2.e9774
Figure 8 - Plazi workflow: from the publication through different levels of data processing to final availability of structured data.
Figure 10 from: Faulwetter S, Pafilis E, Fanini L, Bailly N, Agosti D, Arvanitidis C, Boicenco L, Capatano 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: e9774. https://doi.org/10.3897/rio.2.e9774
Figure 10 - Open Data: an emerging landscape of data and other academic publications (based on a slide by Dmitry Schigel).
Figure 1 from: Faulwetter S, Pafilis E, Fanini L, Bailly N, Agosti D, Arvanitidis C, Boicenco L, Capatano 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: e9774. https://doi.org/10.3897/rio.2.e9774
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.
Figure 5 from: Faulwetter S, Pafilis E, Fanini L, Bailly N, Agosti D, Arvanitidis C, Boicenco L, Capatano 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: e9774. https://doi.org/10.3897/rio.2.e9774
Figure 5 - Biodiversity related articles and instructions to the authors available on the Biodiversity Literature Repository home page.
Figure 4 from: Faulwetter S, Pafilis E, Fanini L, Bailly N, Agosti D, Arvanitidis C, Boicenco L, Capatano 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: e9774. https://doi.org/10.3897/rio.2.e9774
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 3 from: Faulwetter S, Pafilis E, Fanini L, Bailly N, Agosti D, Arvanitidis C, Boicenco L, Capatano 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: e9774. https://doi.org/10.3897/rio.2.e9774
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 2 from: Pezzani R (2016) Saxifraga aizoides extract: novel potential effects on tumor cell models. Research Ideas and Outcomes 2: e9632. https://doi.org/10.3897/rio.2.e9632
Figure 2 - Saxifraga aizoides: the characteristic yellow flowers punctuated by orange spots on the petals.
Figure 1 from: Pezzani R (2016) Saxifraga aizoides extract: novel potential effects on tumor cell models. Research Ideas and Outcomes 2: e9632. https://doi.org/10.3897/rio.2.e9632
Figure 1 - Saxifraga aizoides is a flowering herb of the genus Saxifraga, which lives in Europe and North America.
Figure 1 from: Chen R, Yu W (2016) Matrix Proteins and Proteinases Network in Human Cardiovascular Diseases Explored By Cytoscape. Research Ideas and Outcomes 2: e9617. https://doi.org/10.3897/rio.2.e9617
Figure 1 - Cytoscape network, derived from MMP7, ADAM17, SDC, COL1, and VCAN (see Abstract for full spellings of abbreviations).
Figure 2 from: Joschinski J (2016) Benefits and costs of aphid phenological bet-hedging strategies. Research Ideas and Outcomes 2: e9580. https://doi.org/10.3897/rio.2.e9580
Figure 2 - Maintenance and production costs of bet-hedging. I expect that aphids which invest into bet-hedging produce offspring of lower quality, irrespective of environmental conditions (maintenance costs). In addition, I expect that the costs increase when the bet-hedging trait is expressed (production costs). To test these hypotheses, the data will be analysed separately for sexual and parthenogenetic parents (dashed line = critical day length).
Figure 1 from: Joschinski J (2016) Benefits and costs of aphid phenological bet-hedging strategies. Research Ideas and Outcomes 2: e9580. https://doi.org/10.3897/rio.2.e9580
Figure 1 - Phenotypic variance in sexual offspring production. When aphids are subjected to different day lengths, the induction of sexual offspring follows a logistic curve. Near the critical day length (were 50% of the offspring are sexual) there is a transient period in which the choice of offspring type is stochastic. I expect that clones from predictable (black, circles) and unpredictable (red, triangles) environments differ in slope of day length response and thus in the extent of the transient period. In total, 12 clones, each from a different environment, will be tested.
Figure 3 from: Joschinski J (2016) Benefits and costs of aphid phenological bet-hedging strategies. Research Ideas and Outcomes 2: e9580. https://doi.org/10.3897/rio.2.e9580
Figure 3 - Intended setup of the main experiment. The focal generation will be kept on individual plants for its full lifetime (middle column), starting two days before birth (left column). All offspring will be raised into adults (right column) to determine the reproductive mode of their parents.
Figure 1 from: Sabuncu M, Yilmazlar İ (2016) Speckle Contrast Reduction with a Visible VCSEL Projector. Research Ideas and Outcomes 2: e9597. https://doi.org/10.3897/rio.2.e9597
Figure 1 - The circuit that allows for triangular wave modulation of the VCSEL drive current. The corresponding block diagram of the circuit scheme that drives the VCSEL is given below the drive circuit.
Figure 8 from: Smirnova L, Mergen P, Groom Q, De Wever A, Penev L, Stoev P, Pe'er I, Runnel V, Camacho A, Vincent T, Agosti D, Arvanitidis C, Bonet F, Saarenmaa H (2016) Data sharing tools adopted by the European Biodiversity Observation Network Project. Research Ideas and Outcomes 2: e9390. https://doi.org/10.3897/rio.2.e9390
Figure 8 - The patchiness of survey coverage in Europe illustrated by the distribution map of Plantago lanceolata taken from GBIF in 2016. This species is one of the commonest and most widespread in Europe, it should occur in almost all areas of this map, but in fact the data traces out the borders of countries and area who have published data on GBIF.
Figure 9 from: Smirnova L, Mergen P, Groom Q, De Wever A, Penev L, Stoev P, Pe'er I, Runnel V, Camacho A, Vincent T, Agosti D, Arvanitidis C, Bonet F, Saarenmaa H (2016) Data sharing tools adopted by the European Biodiversity Observation Network Project. Research Ideas and Outcomes 2: e9390. https://doi.org/10.3897/rio.2.e9390
Figure 9 - Information flows between EU BON and LTER Europe, as envisaged on the 3rd EU BON Stakeholder Roundtable in Granada on 9-11 December 2015.
Figure 6 from: Smirnova L, Mergen P, Groom Q, De Wever A, Penev L, Stoev P, Pe'er I, Runnel V, Camacho A, Vincent T, Agosti D, Arvanitidis C, Bonet F, Saarenmaa H (2016) Data sharing tools adopted by the European Biodiversity Observation Network Project. Research Ideas and Outcomes 2: e9390. https://doi.org/10.3897/rio.2.e9390
Figure 6 - Individual Metacat instances can be connected to DataOne which replicates public files. Thus the data is still available if a single instance goes offline. https://search.dataone.org/#data/page/0
Figure 5 from: Smirnova L, Mergen P, Groom Q, De Wever A, Penev L, Stoev P, Pe'er I, Runnel V, Camacho A, Vincent T, Agosti D, Arvanitidis C, Bonet F, Saarenmaa H (2016) Data sharing tools adopted by the European Biodiversity Observation Network Project. Research Ideas and Outcomes 2: e9390. https://doi.org/10.3897/rio.2.e9390
Figure 5 - PPBio has installed a Metacat instance for their researchers to upload and make publicly available the results of work related to biodiversity in the Western Amazon. https://ppbiodata.inpa.gov.br/metacatui/
Figure 3 from: Smirnova L, Mergen P, Groom Q, De Wever A, Penev L, Stoev P, Pe'er I, Runnel V, Camacho A, Vincent T, Agosti D, Arvanitidis C, Bonet F, Saarenmaa H (2016) Data sharing tools adopted by the European Biodiversity Observation Network Project. Research Ideas and Outcomes 2: e9390. https://doi.org/10.3897/rio.2.e9390
Figure 3 - The implementation of Darwin Core Archive in Plazi to transfer treatment data. Observation data described with Darwin Core terms.
Figure 4 from: Smirnova L, Mergen P, Groom Q, De Wever A, Penev L, Stoev P, Pe'er I, Runnel V, Camacho A, Vincent T, Agosti D, Arvanitidis C, Bonet F, Saarenmaa H (2016) Data sharing tools adopted by the European Biodiversity Observation Network Project. Research Ideas and Outcomes 2: e9390. https://doi.org/10.3897/rio.2.e9390
Figure 4 - The public data repository provided by the Knowledge Network for Biocomplexity (KNB). https://knb.ecoinformatics.org/#data/page/0
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.