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1,291 results for “gap”

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dryad32/100

Data from: Data gaps and opportunities for comparative and conservation biology

Open the record for dataset details and reuse information.

publicApr 2019View details →
dryad32/100

Data from: Food and nutrient gaps in rural Northern Ghana: does production of smallholder farming households support adoption of food-based dietary guidelines?

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publicSep 2019View details →
dryad32/100

Data from: Towards an integrated database on Canadian ocean resources: benefits, current states, and research gaps

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publicMar 2017View details →
dryad32/100

Data from: Closing the gap: avian lineage splits at a young, narrow seaway imply a protracted history of mixed population response

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publicAug 2017View details →
dryad32/100

Data from: Population genomics and history of speciation reveal fishery management gaps in two related redfish species (Sebastes mentella and Sebastes fasciatus)

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publicMay 2021View details →
dryad32/100

Analysis of localized cAMP perturbations within a tissue reveal the effects of a local, dynamic gap junction state on ERK signaling

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publicMar 2022View details →
dryad32/100

Field courses narrow demographic achievement gaps in ecology and evolutionary biology

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publicApr 2021View details →
zenodo28/100

MiRoR1 - P1 - A scoping review describes methods used to identify, prioritize and display gaps in health research

<p>Data extraction, data set and protocol of a scoping review on&nbsp; describes methods used to identify, prioritize and display gaps in health research</p>

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

Figure 4 from: Balke M, Ribera I (2020) A subterranean species of Exocelina diving beetle from the Malay Peninsula filling a 4,000 km distribution gap between Melanesia and southern China. Subterranean Biology 34: 25-37. https://doi.org/10.3897/subtbiol.34.50148

Figure 4 Exocelina sugayai sp. nov. male, ventral side A prosternal process and mesocoxal area B metacoxa and metacoxal processes C metaventrite and metaxoca DExocelina abdita, metacoxa and metacoxal processes. Lines in B and D inserted to highlight outline of metacoxal processes.

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

Figure 5 from: Balke M, Ribera I (2020) A subterranean species of Exocelina diving beetle from the Malay Peninsula filling a 4,000 km distribution gap between Melanesia and southern China. Subterranean Biology 34: 25-37. https://doi.org/10.3897/subtbiol.34.50148

Figure 5 Exocelina sugayai sp. nov. male genital, A median lobe of aedeagus in lateral view B paramere lateral inner view.

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

Figure 6 from: Balke M, Ribera I (2020) A subterranean species of Exocelina diving beetle from the Malay Peninsula filling a 4,000 km distribution gap between Melanesia and southern China. Subterranean Biology 34: 25-37. https://doi.org/10.3897/subtbiol.34.50148

Figure 6 Habitat of Exocelina sugayai sp. nov. A overview B detailed, with a beetle crawling about in the center of the image.

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

Figure 1 from: Balke M, Ribera I (2020) A subterranean species of Exocelina diving beetle from the Malay Peninsula filling a 4,000 km distribution gap between Melanesia and southern China. Subterranean Biology 34: 25-37. https://doi.org/10.3897/subtbiol.34.50148

Figure 1 Exocelina sugayai sp. nov. A habitus dorsal of male B same of female C foretarsus of male, arrow pointing at expanded anterior ventral angle of tarsomere IV D surface sculpture on male elytral disc, cropped from A. Length of left beetle: 2.7 mm.

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

Figure 7 from: Balke M, Ribera I (2020) A subterranean species of Exocelina diving beetle from the Malay Peninsula filling a 4,000 km distribution gap between Melanesia and southern China. Subterranean Biology 34: 25-37. https://doi.org/10.3897/subtbiol.34.50148

Figure 7 Simplified phylogenetic tree obtained with IQ-TREE using the DNA sequence dataset of Toussaint et al. (2014, 2015 as well as 2020 in preparation) plus the newly obtained sequences of Exocelina sugayai sp. nov. Non-relevant clades are collapsed to genus or other major clades. Numbers in nodes, ultrafast bootstrap / SH-like aLRT support.

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

Figure 2 from: Balke M, Ribera I (2020) A subterranean species of Exocelina diving beetle from the Malay Peninsula filling a 4,000 km distribution gap between Melanesia and southern China. Subterranean Biology 34: 25-37. https://doi.org/10.3897/subtbiol.34.50148

Figure 2 Exocelina sugayai sp. nov. male A eye in lateral view B detail of head and pronotum C surface sculpture on base of head and anterior margin of pronotum D detail of posterior angle of pronotum E detail of surface sculpture on base of elytron F detail of lateral view of elytral and pronotal base and head.

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

Non-local Impacts of Gaps on Submerged Canopy Flow

<p>The folders include all the Vectrino measurements/records used for the paper, &quot;Non-local Impacts of Gaps on Submerged Canopy Flow&quot;. Each folder has the the&nbsp;filtered data with the naming convention, &#39;[gapsize]_[dist downstream]_[z(height from bed].mat&#39;.&nbsp;There are separate folders for Set A and Set B experiments, which separate into the medium and fast flow speeds. There are homogenous measurements as well.</p>

opencc-by-4.0Dec 2019View details →
zenodo28/100

Filling gaps of occurrence data for Colombia: case of birds

<p>Biological databases from collections, museums, and inventories present gaps and biases as some species and geographical areas remain poorly known. Biological expeditions are thus crucial to increase the knowledge of biodiversity and should be planned carefully. Using 1-km2 spatial resolution, this dataset provides which locations of Colombia that have been surveyed at least one time for the bird group.</p> <p><br> The first two columns describe the latitudinal (lat) and longitudinal (long) coordinate of the locations. Meanwhile, the last column (observed) describes whether the location has been surveyed at least one time, e.g., if the location has at least a point record, its value is 1; otherwise, its value is 0.</p>

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

Supplementary material 1 from: Duarte S, Vieira PE, Costa FO (2020) Assessment of species gaps in DNA barcode libraries of non-indigenous species (NIS) occurring in European coastal regions. Metabarcoding and Metagenomics 4: e55162. https://doi.org/10.3897/mbmg.4.55162

Supplementary figures and tables used to analyse the data

opencc-zeroAug 2020View details →
dryad28/100

Mobilisation of data to stakeholder communities: Bridging the research-practice gap using a commercial shellfish species model

<p>Knowledge mobilisation is required to "bridge the gap" between research, policy and practice. This activity is dependent on the amount, richness and quality of the data published. To understand the impact of a changing climate on commercial species, stakeholder communities require better knowledge of their past and current situations. The common cockle (<i>Cerastoderma edule</i>) is an excellent model species for this type of analysis, as it is well-studied due to its cultural, commercial and ecological significance in west Europe. Recently, <i>C. edule</i> harvests have decreased, coinciding with frequent mass mortalities, due to factors such as a changing climate and diseases. In this study, macro and micro level marine historical ecology techniques were used to create datasets on topics including: cockle abundance, spawning duration and harvest levels, as well as the ecological factors impacting those cockle populations. These data were correlated with changing climate and the Atlantic Multidecadal Oscillation (AMO) index to assess if they are drivers of cockle abundance and harvesting. The analyses identified the key stakeholder communities involved in cockle research and data acquisition. It highlighted that data collection was sporadic and lacking in cross-national/stakeholder community coordination. A major finding was that local variability in cockle populations is influenced by biotic (parasites) and abiotic (temperature, legislation and harvesting) factors, and at a global scale by climate (AMO Index). This comprehensive study provided an insight into the European cockle fishery but also highlights the need to identify the type of data required, the importance of standardised monitoring, and dissemination efforts, taking into account the knowledge, source, and audience. These factors are key elements that will be highly beneficial not only to the cockle stakeholder communities but to other commercial species.</p>

opencc-zeroAug 2020View details →
zenodo28/100

Supplementary material 1 from: Ancin-Murguzur FJ, Hausner VH (2020) Research gaps and trends in the Arctic tundra: a topic-modelling approach. One Ecosystem 5: e57117. https://doi.org/10.3897/oneeco.5.e57117

Supplementary table 1

opencc-zeroSep 2020View details →
zenodo28/100

SbD4Nano D4.1 - Data gaps and stakeholders' needs in available exposure measurement data and RMMs (Database)

<p>The present deliverable D4.1 is a public report of the SbD4Nano project delivered in the context of WP4 (Safe by process design: exposure assessment and risk management). The main objective of WP4 is to evaluate current gaps in exposure measurement data needed by regulators, industry and academics to support the risk assessment process. The identification of data gaps is based on a complete review of data collected from available data repositories from different finished and ongoing EU projects and from the NECID-PEROSH exposure database.</p>

opencc-by-4.0Sep 2020View details →

ScienceDex guides

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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.

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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

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