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2,107 results for “margin;”

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zenodo36/100

Sanguisorba stipulata (Rosaceae) - leaf - margin of upper + lower surface

Image of Sanguisorba stipulata (Rosaceae) - leaf - margin of upper + lower surface

opencc-by-4.0Dec 2014View details →
zenodo36/100

Heracleum maximum (Apiaceae) - leaf - margin of upper + lower surface

Image of Heracleum maximum (Apiaceae) - leaf - margin of upper + lower surface

opencc-by-4.0Dec 2014View details →
zenodo36/100

Marinoan Snowball Earth: The Impact of Deglaciation Duration on the Sea-Level History of Continental Margins

<p>Paleogeographies, ice histories, and predicted relative sea level output are available here as Matlab (.mat) files. Complementary text (.txt) files are included for latitude, longitude, and time. For different file formats or any questions to their use, please contact the corresponding author, Freya K Morris at: morrisfreya15@outlook.com</p>

opencc-by-4.0Jan 2025View details →
zenodo36/100

Data presented in Stress regimes and dynamic implications of the southeastern margin of the Tibetan Plateau: Insights from a refined focal mechanism catalog

<p>The dataset includes thewaveform data required for source mechanism inversion presented in the paper Stress regimes and dynamic implications of the southeastern margin of the Tibetan Plateau: Insights from a refined focal mechanism catalog</p>

opencc-by-4.0Sep 2024View details →
zenodo36/100

Unwrapping reworked crust at the Columbia supercontinent margin within Amazonian Craton using satellite potential field data synergy

<p>This file contains the geochronology data inventory (Supplementary Material Table 1) as a MS Excel (*.xls) table used for interpretation in the&nbsp; the original publication of &#39;Unwrapping reworked crust at the Columbia supercontinent margin within Amazonian Craton using satellite potential field data synergy&#39;. Paper published in Geoscience Frontiers in early 2022.</p>

opencc-by-4.0Aug 2020View details →
dryad36/100

Environmental variation and biotic interactions limit adaptation at ecological margins: lessons from rainforest Drosophila and European butterflies

<p>Models of local adaptation to spatially varying selection predict that maximum rates of evolution are determined by the interaction between increased adaptive potential owing to increased genetic variation, and the cost genetic variation brings by reducing population fitness. We discuss existing and new results from our laboratory assays and field transplants of rainforest Drosophila and UK butterflies along environmental gradients, which try to test these predictions in natural populations. Our data suggest that: (i) local adaptation along ecological gradients is not consistently observed in time and space, especially where biotic and abiotic interactions affect both gradient steepness and genetic variation in fitness; (ii) genetic variation in fitness observed in the laboratory is only sometimes visible to selection in the field, suggesting that demographic costs can remain high without increasing adaptive potential; and (iii) antagonistic interactions between species reduce local productivity, especially at ecological margins. Such antagonistic interactions steepen gradients and may increase the cost of adaptation by increasing its dimensionality. However, where biotic interactions do evolve, rapid range expansion can follow. Future research should test how the environmental sensitivity of genotypes determines their ecological exposure, and its effects on genetic variation in fitness, to predict the probability of evolutionary rescue at ecological margins. This article is part of the theme issue 'Species' ranges in the face of changing environments (Part II)'.</p>

opencc-zeroFeb 2022View details →
zenodo36/100

Dataset for "Protracted subduction of the European hyperextended margin revealed by rutile U-Pb geochronology across the Dora-Maira massif (W. Alps)"

<p>Dataset for &quot;Protracted subduction of the European hyperextended margin revealed by rutile U-Pb geochronology across the Dora-Maira massif (W. Alps)&quot;</p> <p>- Sample location</p> <p>- Rutile U-Pb-trace-element analyses</p> <p>- Titanite U-Pb-trace-element analyses</p>

opencc-by-4.0Mar 2022View details →
dryad36/100

Dataset for manuscript entitled: Switchgrass cropping systems affect soil carbon and nitrogen and microbial diversity and activity on marginal lands

<p class="MsoListParagraph">Switchgrass (<em>Panicum virgatum</em> L.),<span> </span>as a dedicated bioenergy crop, can provide cellulosic feedstock for biofuel production while improving or maintaining soil quality. However, comprehensive evaluations of how switchgrass cultivation and nitrogen (N) management impact soil and plant parameters remain incomplete. We conducted<span> </span>field trials in three years (2016–2018) at six locations in the North Central Great Lakes Region to evaluate the effects of cropping systems (switchgrass, restored prairie, undisturbed control) and N rates (0, 56 kg N ha<sup>-1</sup> yr<sup>-1</sup>) on biomass yield and soil physicochemical, microbial, and enzymatic parameters. Switchgrass cropping system yielded an aboveground biomass 2.9–3.3 times higher than the other two systems (Jayawardena et al., In submission) but our study found that this biomass accumulation didn't reduce soil dissolved organic C (DOC), total dissolved N (TDN), or bacterial diversity. The annual aboveground biomass removal for bioenergy feedstock, however, reduced soil microbial biomass C (MBC) and N (MBN) and bacterial richness in the 2<sup>nd</sup> and 3<sup>rd</sup> years; despite this, continuous monocropping of switchgrass improved soil TDN, inorganic N, bacterial diversity, and shoot biomass in the 2<sup>nd</sup> and/or 3<sup>rd</sup> years when compared to the 1<sup>st</sup> year. N fertilization increased aboveground biomass yield by 1.2 times and significantly increased soil TDN, MBN, and the shoot biomass of switchgrass when compared to the unfertilized control. Locations with higher C and N contents and lower C:N ratio had higher aboveground biomass, MBC, MBN, and the activity of BG, CBH, and UREA enzymes; by contrast, locations with higher pH had higher soil TDN and activity of NAG and LAP enzymes. Our research demonstrates that switchgrass cultivation could improve or maintain soil N content and N fertilization can increase plant biomass yield. The comprehensive data also can inform future biogeochemical models to successfully implement switchgrass for bioenergy production.</p>

opencc-zeroApr 2022View details →
zenodo36/100

Event Data used in Seismic anisotropy along the Haida Gwaii margin from receiver function analysis

<p>This CSV file contains metadata for earthquake events used in the study: Seismic anisotropy along the Haida Gwaii margin from receiver function analysis</p> <p>Event start time (UTC), latitude, longitude, depth, magnitude and the seismic station at which the event is recorded are included.</p>

opencc-by-4.0May 2022View details →
zenodo36/100

Hourly average and marginal electricity mixes for Spain for assessing systems with variable load or power

<p>This upload contains the Supplementary Information file and the underlying data as Excel-file for the referenced Journal article (&quot;Hourly marginal electricity mixes and their relevance for assessing the environmental performance of installations with variable load or power&quot;)</p> <p>More specifically, it provides</p> <ul> <li>time series of the Spanish electricity generation mix for the year 2021 for energy system analysis (as used as basis for the underlying publication), including imports and environmental impacts of the hourly generation mix for all EF3.0 impact categories (<em>Marginal_Electricity_Results_Analysis_2021_V17.xls)</em></li> <li>a spreadshhet calculator for determining the average and marginal hourly benefits of a generator with variable load (a PV installation, but the generation profile can be substituted by any other) <em>Load-Gen_Balancing__V15.xlsm</em></li> <li>life cycle inventory data for import into openLCA and re-use in combination with the ecoinvent databse (Version 3.7.1).</li> </ul> <p>Further details are available on request to the main author.</p>

opencc-by-4.0Jun 2022View details →
dryad36/100

Ecological and geographical marginality in rear edge populations of Palaearctic forest birds (data)

<p>The centre–periphery hypothesis predicts that habitat suitability will decrease at the edge of a species' range, a pattern often questioned by empirical data. Here we explore if habitat suitability decreases southwards and shapes the abundance distribution of rear edge populations of forest birds within the restricted geographical setting of the south-western Palaearctic. We also test if birds endemic to the area fit more poorly to the latitudinal decrease of habitat suitability due to the putative effect of adaptations to regional conditions. Location: North-western Africa (Morocco) Time period: Present day Major taxa studied: Passerines (11 species) Methods: Bird occurrences were used to model species distribution and line transects were used to estimate bird abundance. Occurrence probabilities provided by species distribution models were used to display the spatial patterning of habitat suitability. Habitat suitability was employed to predict abundance after controlling for the effect of the distance to some regional source areas of forest birds (tree covered large areas). The species were classified as North African endemic according to an updated review of their taxonomic status. Results: Habitat suitability decreased southwards, supporting the predicted relationship between ecological and geographical marginality in most species. Abundance was positively correlated to habitat suitability and negatively correlated to distance to source areas. The taxonomic status of birds did not affect the patterns. Main conclusions: The southward decrease of habitat suitability predicted by the centre–periphery hypothesis shapes the distribution of rear edge populations of forest birds within the south-western Palaearctic. As most of these populations are endemic, the results suggest that they track the gradients in isolation within the geographical setting of north-western Africa. These results support the vulnerability of these isolated, peripheral populations of forest birds to large-scale environmental changes in a region under the effect of increasing drought and temperature.</p>

opencc-zeroJun 2022View details →
dryad36/100

Transient amplification enhances the persistence of tropicalising coral assemblages in marginal high latitude environments

<p>Predicting the viability of species exposed to increasing climatic stress requires an appreciation for the mechanisms underpinning the success or failure of marginal populations. Rather than traditional metrics of long-term population performance, here we illustrate that short-term (<em>i.e.</em>, transient) demographic characteristics, including measures of resistance, recovery, and compensation, are fundamental in the poleward range expansion of hard corals, facilitating the establishment of coral populations at higher latitudes. Through the annual census of tropical and subtropical <em>Acropora</em> spp. colonies in Japan between 2017-2019, we show how enhanced transient amplification (<em>i.e.</em>, short-term increases in population growth following disturbance) supports the persistence of coral assemblages within more variable high-latitude environments. The transient dynamics of both the tropical and subtropical assemblages were strongly influenced by their corresponding recruitment patterns. However, we demonstrate that variation in colony survival and fragmentation patterns between the two assemblages determines their relative capacities for transient amplification. This latitudinal variation in the transient dynamics of <em>Acropora</em> spp. assemblages emphasises that coral populations can possess the demographic plasticity necessary for exploiting more variable, marginal conditions.</p>

opencc-zeroJun 2022View details →
zenodo36/100

Fig. 7 in Abyssal vent field habitats along plate margins in the Central Indian Ocean yield new species in the genus Anatoma (Vetigastropoda: Anatomidae)

Fig. 7. Radula of Anatoma declivis sp. nov., South-East Indian Ridge, INDEX19_127RO, (I19_Ma_78).

opencc-by-4.0Jun 2022View details →
dryad36/100

Site impacts nutrient translocation efficiency in intra- and interspecies miscanthus hybrids on marginal lands

<p class="MsoNormal"><span>Miscanthus</span><span>, a C<sub>4</sub> perennial rhizomatous grass, is capable of growing in varied climates and soil types in Europe, including on marginal lands. It can produce high yields with low nutrient inputs when harvested after complete senescence. Senescence induction and rate depend on complex genetic, environmental, and management interactions. To explore these interactions, we analysed four miscanthus hybrids </span><span>(two novel seed-based hybrids, GRC 3<em> (M. sinensis × sinensis</em>) and GRC 14 (<em>M. sacchariflorus × sinensis)</em>; GRC 15, a<em> </em>novel <em>M. sacchariflorus × sinensis </em>clone; and GRC 9, a standard <em>M.</em></span><em><span> </span></em><em><span>× giganteus</span></em><span> clone</span><span>)</span><span> in Italy, Croatia, Germany and the UK.</span></p> <p class="MsoNormal"><span>Over all trial locations and hybrids, the average aboveground biomass of the three-year-old stands in August 2020 was 15 t DM ha<sup>-1</sup> with nutrient contents of 7.6 mg N g<sup>-1</sup> and 14.6 mg K g<sup>-1</sup>. As expected, delaying the harvest until spring reduced overall yield and nutrient contents (12 t DM ha<sup>-1</sup>,<sup> </sup>3.3 mg N g<sup>-1</sup> and 5.5 mg K g<sup>-1</sup>). At lower latitudes, the late-ripening <em>M.</em> </span><em><span>sacchariflorus × sinensis</span> </em><span>GRC 14 and GRC 15 combined high yields with low nutrient contents. At the most elevated latitude location (UK), the early-ripening </span><em><span>M. sinensis × sinensis</span> </em><span>combined high biomass yields with low nutrient offtakes. The clonal <em>M. × giganteus</em> with intermediate flowering and senescence attained similar low nutrient contents by spring harvest at all four locations.</span></p> <p><span>Seasonal changes in yield and</span><span> nutrie</span><span>nt </span><span>levels analysed in this study provide: 1) a first step towards recommending hybrids for specific locations and end uses in Europe; 2) crucial data for determination of harvest time and practical steps in the valorisation of biomass; and 3) key sustainability data for life cycle assessments. Identification of trade-offs resulting from genetic × environment × management interactions are critical for increasing sustainable biomass supply from miscanthus grown on marginal lands.</span></p>

opencc-zeroDec 2021View details →
zenodo36/100

Low-fold seismic reflection data acquired across the Northern Hikurangi subduction margin and incoming Hikurangi Plateau, New Zealand

<p>Two-dimensional seismic reflection data were acquired on two surveys of the Northern Hikurangi subduction margin, New Zealand in 2011 and 2015. The survey data were collected to support research of tectonic structure, slow slip processes, stratigraphic architecture, and thermal state of the subduction margin and incoming plate, as well as to support ocean-floor drilling associated with IODP Expeditions 372 and 375. The surveys include (1) R/V <em>Tangaroa</em> NIWA voyage TAN1114 undertaken in 2011 by the National Institute of Water and Atmospheric Research (NIWA) and GNS Science, as part of the <em>OS2020 Northern Hikurangi Margin Geohazards</em> survey; and (2) R/V <em>Rodger Revelle</em> cruise RR1508 undertaken in 2015 by Oregon State University as part of the <em>Subduction Thrust Investigation of New Zealand using Geothermics and Seismics (STINGS)</em> project (see Figure 1). TAN1114 voyage was funded by the New Zealand Government Oceans 2020 Programme, and core research programme funding by NIWA and GNS Science. Cruise RR1508 was funded by NSF grants OCE-1355878 and OCE-1355870.</p> <p>&nbsp;</p> <p><strong>R/V <em>Tangaroa</em> TAN1114 Seismic Data</strong></p> <p><strong>Data Acquisition:</strong> &nbsp;The seismic system used on R/V <em>Tangaroa</em> during the 2011 National Institute of Water and Atmospheric Research (NIWA) survey TAN1114 included a source comprising two Sodera 45/105 GI guns operated in true GI mode. The guns were deployed 35 m behind the vessel RV <em>Tangaroa</em> at 5 m water depth. Lines TAN1114-01 to -13, and part of line 14 were acquired with a shot interval of 10.8 seconds (~25 m sailing at 4.5 knots), providing a nominal coverage of 12-fold data. Part of line TAN1114-14 and lines 15-23 were acquired with a shot interval of 21.6 seconds (~50 m sailing at 4.5 knots), providing a nominal 6-fold coverage. Data were recorded on a Geometrics GeoEel 48-channel seismic streamer with 6 X 100 m active sections, and a group interval of 12.5 m. The streamer was deployed at a depth of 7.5 m, apart from line TAN1114-01 where it was towed at 5 m depth. Depth control was maintained with a CSMX depth control system including three DigiCourse 5011 compass birds. The record length was 8 s and the sample rate 2 ms. Differential GPS was used for positioning. Table 1 summarises TAN1114 recording parameters and Table 2 lists TAN1114 lines acquired and processed. TAN1114 line coordinates are detailed in Table 3.</p> <p><strong>Data Processing:</strong> &nbsp;A total of 29 seismic lines were processed providing 1350 km of multichannel seismic reflection data. The lines were processed to post-stack time-migrated SEGY sections, using GNS Science GLOBE CLARITAS. With allowance for overlap of line segments the data were grouped into 51167 shot-point locations. Raw data were written to disk as IBM standard SEG-Y files. IBM Claritas Extended SEG-Y data were written to disk after geometry was added, after stack, and after migration. Shots were CDP sorted from disk during the stacking process to avoid creating large and unnecessary separate CDP sorted files.&nbsp;</p> <p>Post-stack migration (finite difference migration) has been applied to the stacked sections to produce a dip-true image, this results in clearer resolution of structural features such as faults and folds, and of detailed sedimentary features such as on-lapping and truncated reflections. Sea-floor multiple reflections disturb structural imaging especially in water depths less than 500 m.&nbsp; All seismic data are written to disk as processed sections in SEG-Y format. Line TAN1114-A is a composite splice including parts of lines TAN1114-4A, -6A and 7A.&nbsp;Details of the TAN1114 processing parameters are given in Table 4 and SEG-Y trace headers in Table 5.</p> <p>&nbsp;</p> <p><strong>R/V <em>Rodger Revelle</em> RR1508 Seismic Data</strong></p> <p><strong>Data Acquisition:</strong> The 2015 R/V <em>Rodger Revelle</em> survey RR1508 used a seismic system operated by Scripps Institute of Oceanography. Of two sub-regions surveyed during this cruise, only data from the northern Hikurangi margin are presented here. The seismic system used was similar to that on <em>Tangaroa</em> TAN1114, including a source comprising two Sodera 45/105 GI guns operated in true GI mode. The guns were deployed at a depth of 3.5 m and the shot spacing was 25 m. &nbsp;Data were recorded on a Geometrics GeoEel 48-channel seismic streamer with 6 X 100 m active sections, and a group interval of 12.5 m. The streamer was deployed at a depth of 3.5 m. During acquisition of the HKS01 lines, only the nearest 40 data channels were recorded. The record length was 8 s and the sample rate 1 ms. Differential GPS was used for positioning. Table 6 summarises RR1508 recording parameters and Table 7 lists RR1508 lines acquired and processed.</p> <p><strong>Data Processing: </strong>A total of 13 HKS01 seismic lines were processed to post-stack time-migrated SEGY sections, using GNS Science GLOBE CLARITAS. Data processing included application of geometry, sorting, trace editing, normal moveout correction, stack, filtering and finite difference migration. All seismic data are written to disk as processed sections in SEG-Y format. Details of the RR1508 processing parameters are given in Table 8 and SEG-Y trace headers in Table 9.</p> <p>&nbsp;</p> <p><strong>List of files</strong></p> <p>Figure 1. TAN1114 and RR1508 seismic line locations on the northern Hikurangi margin.</p> <p>Table 1. Summary of TAN1114 recording parameters.</p> <p>Table 2. Summary of TAN1114 lines acquired and processed.</p> <p>Table 3. Summary of TAN1114 line coordinates.</p> <p>Table 4.&nbsp; Summary of TAN1114 seismic processing sequence.</p> <p>Table 5.&nbsp; Summary of TAN1114 SEG-Y trace headers.</p> <p>Table 6. Summary of RR1508 recording parameters.</p> <p>Table 7. Summary of RR1508 lines acquired and processed.</p> <p>Table 8.&nbsp; Summary of RR1508 seismic processing sequence.</p> <p>Table 9.&nbsp; Summary of RR1508 SEG-Y trace headers.</p> <p>&nbsp;</p> <p>Processed SEGY seismic data</p> <p>TAN1114-01.sgy</p> <p>TAN1114-02.sgy</p> <p>TAN1114-03.sgy</p> <p>TAN1114-04.sgy</p> <p>TAN1114-04A.sgy</p> <p>TAN1114-05.sgy</p> <p>TAN1114-06.sgy</p> <p>TAN1114-06A.sgy</p> <p>TAN1114-07.sgy</p> <p>TAN1114-07A.sgy</p> <p>TAN1114-08.sgy</p> <p>TAN1114-09.sgy</p> <p>TAN1114-10.sgy</p> <p>TAN1114-10B.sgy</p> <p>TAN1114-11.sgy</p> <p>TAN1114-12.sgy</p> <p>TAN1114-12T.sgy</p> <p>TAN1114-13.sgy</p> <p>TAN1114-14.sgy</p> <p>TAN1114-15.sgy</p> <p>TAN1114-16.sgy</p> <p>TAN1114-17.sgy</p> <p>TAN1114-18.sgy</p> <p>TAN1114-19.sgy</p> <p>TAN1114-20.sgy</p> <p>TAN1114-21.sgy</p> <p>TAN1114-22.sgy</p> <p>TAN1114-23.sgy</p> <p>TAN1114-A.sgy</p> <p>RR1508-HKS01_01.sgy</p> <p>RR1508-HKS01_02.sgy</p> <p>RR1508-HKS01_02A.sgy</p> <p>RR1508-HKS01_03.sgy</p> <p>RR1508-HKS01_04.sgy</p> <p>RR1508-HKS01_05.sgy</p> <p>RR1508-HKS01_05A.sgy</p> <p>RR1508-HKS01_06.sgy</p> <p>RR1508-HKS01_07.sgy</p> <p>RR1508-HKS01_08.sgy</p> <p>RR1508-HKS01_09.sgy</p> <p>RR1508-HKS01_09A.sgy</p> <p>RR1508-HKS01_10.sgy</p>

opencc-by-4.0Jun 2022View details →
zenodo36/100

Evolved transcriptional responses and their trade-offs after long-term adaptation of Bemisia tabaci to a marginally-suitable host

<p>Scripts and data used in the work &quot;Evolved transcriptional responses and their trade-offs after long-term adaptation of Bemisia tabaci to a marginally-suitable host&quot;.</p> <p><strong>Abstract: </strong>Although generalist insect herbivores can migrate and rapidly adapt to a broad range of host plants, they can face significant difficulties when accidentally migrating to novel and marginally-suitable hosts. What happens, at both the performance and transcriptional levels, if these marginally-suitable hosts must be used for multiple generations before migration to a suitable host can take place, largely remains unknown. In this study, we established multigenerational colonies of the whitefly <em>Bemisia tabaci</em>, a generalist phloem-feeding species, adapted to a marginally-suitable host (habanero pepper) or an optimal host (cotton). We used reciprocal host tests to estimate the differences in performance of the populations on both hosts under optimal (30 <sup>o</sup>C) and mild-stressful (24 <sup>o</sup>C) temperature conditions, and documented the associated transcriptomic changes. The habanero pepper-adapted population greatly improved its performance on habanero pepper but did not reach its performance level on cotton, the original host. It also showed reduced performance on cotton, relative to the non-adapted population, and an antagonistic effect of the lower-temperature stressor. The transcriptomic data revealed that most of the expression changes, associated with long-term adaptation to habanero pepper, can be categorized as &ldquo;evolved&rdquo; with no initial plastic response. Three molecular functions dominated: enhanced formation of cuticle structural constituents, enhanced activity of oxidation-reduction processes involved in neutralization of phytotoxins and reduced production of proteins from the cathepsin B family. Taken together, these findings indicate that generalist insects can adapt to novel host plants by modifying the expression of a relatively small set of specific molecular functions.</p>

opencc-by-4.0Jun 2022View details →
zenodo36/100

Pore water and headspace gas data from Sites J1005 and J1006 on the south Chilean Margin

<p>Pore water elemental and isotopic measurements, and headspace gas data, from Sites J1005 and J1006 on the south Chilean Margin.</p> <p>Tab 1: Site J1005 pore water chemistry</p> <p>Tab 2: Site J1006 pore water chemistry</p> <p>Tab 3: Headspace gas data at J1005 and J1006</p> <p>Tab 4: Na/K geothermometer estimates</p> <p>Tab 5: Pore water sulfate diffusive flux calculations</p>

opencc-by-4.0Oct 2022View details →
zenodo36/100

Quercus chrysolepis (Fagaceae) - leaf - margin of upper + lower surface

Image of Quercus chrysolepis (Fagaceae) - leaf - margin of upper + lower surface

opencc-by-4.0Dec 2009View details →
zenodo36/100

Quercus chrysolepis (Fagaceae) - leaf - margin of upper + lower surface

Image of Quercus chrysolepis (Fagaceae) - leaf - margin of upper + lower surface

opencc-by-4.0Dec 2009View details →
zenodo36/100

Cornus (Cornaceae) - leaf - margin of upper + lower surface

Image of Cornus (Cornaceae) - leaf - margin of upper + lower surface

opencc-by-4.0Dec 2009View 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

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