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1,840 results for “Representative”

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zenodo32/100

Source data of Hyperexcited limbic neurons represent sexual satiety and reduce mating motivation

<p>The processed data of Hyperexcited limbic neurons represent sexual satiety and reduce mating motivation</p>

opencc-by-4.0Dec 2022View details →
dryad32/100

Data from: Graduate health professions education programs as they choose to represent themselves: A website review

<p>Introduction: In an age of increasingly face-to-face, blended, and online Health Professions Education, students have more selections of where they will receive a degree. For an applicant, oftentimes, the first step is to learn more about a program through its website. Websites allow programs to convey their unique voice and to share their mission and values with others, such as applicants, researchers, and academics. Additionally, as the number of Health Professions Education programs rapidly grows, websites can share the priorities of these programs. </p> <p>Methods: In this study, we conducted a website review of 158 Health Professions Education websites to explore their geographical distributions, missions, educational concentrations, and various programmatic components.</p> <p>Results: We compiled this information and synthesized pertinent aspects, such as program similarities and differences, or highlighted the omission of critical data.</p> <p>Conclusion: Given that websites are often the first point of contact for prospective applicants, curious collaborators, and potential faculty, the digital image of HPE programs matters. We believe our findings demonstrate opportunities for growth within institutions and assist the field in identifying the priorities of HPE programs. As programs begin to shape their websites with more intentionality, they can reflect their relative divergence/convergence compared to other programs as they see fit and, therefore, attract individuals to best match this identity. Periodic reviews of the breadth of programs, such as those undergone here, are necessary to capture diversifying goals, and serve to help advance the field of Health Professions Education as a whole.</p>

opencc-zeroFeb 2023View details →
zenodo32/100

FIG. 5.—Phylogenetic tree reconstructed for representative hylodid anurans from a in A New Species of Hŋlodes (Anura, Hylodidae) from Serra do Mar, Southeastern Brazil: The Fourth with Nuptial Thumb Tubercles

FIG. 5.—Phylogenetic tree reconstructed for representative hylodid anurans from a Bayesian inference analysis of the complete 16S mitochondrial gene. Values adjacent to each node are posterior probabilities.

opennotspecifiedMay 2017View details →
zenodo32/100

FIGURE:1 Map of Sampling sites, the green dots represent the Shogran and brown dot represents Khanspur, from where the specimens of Hypholoma himalayense were collected in Hypholoma himalayense, a new and noteworthy species from the Himalayan moist temperate forests of Pakistan

FIGURE:1 Map of Sampling sites, the green dots represent the Shogran and brown dot represents Khanspur, from where the specimens of Hypholoma himalayense were collected

opennotspecifiedMar 2023View details →
zenodo32/100

SCM data for "Representing the subgrid surface heterogeneity of precipitation in a general circulation model"

<p>Single Column Model output from simulations described in the paper, &quot;Representing the subgrid surface heterogeneity of precipitation in a general circulation model,&quot; by Nathan Arnold, Randal Koster, and Atanas Trayanov.&nbsp;&nbsp;</p>

opencc-by-4.0Apr 2023View details →
zenodo32/100

Represent project UC2 Land Cover Dataset

<p>The dataset is composed of Sentinel-2 data, while the ground truths come from Copernicus Land Monitoring Service &ndash; Hot Spot Mapping (HSM), that provides high resolution land cover maps over several Natural Protected Areas mainly in Africa. The land cover legend is based on the FAO Land Cover Classification System (LCCS). These labels have been produced and validated mainly through photointerpretation of HR data.<br> The mapped area of interest (AOI) represents a key landscape for conservation area (KLC). The KLC has a total size of almost 14,000,000 140,000 km2 and is covering a vast area in southern Tanzania all the way to northern Mozambique.<br> In Tanzania the AOI is covering the entire Selous game reserve, an area of around 50,000 km2, representing 6% of Tanzania&rsquo;s land surface. This world heritage site is not only the oldest, but also the largest single protected area in Africa. It is characterised by an extensive area of natural miombo woodlands representing also one of the most extensive forest areas under protection. the reserve contains some of the most important populations of elephants, buffalos, antelopes, lions, wild dogs and other predators in Africa.<br> Located in northern Mozambique, the Niassa reserve is with 42,400 km2 the largest conservation area of the country, containing also the greatest concentration of wildlife of the country. the two reserved are connected by the Selous &ndash; Niassa wildlife corridor, an area of approximately 9000 km2 located entirely on the Tanzanian side which represents an important biological link between the two reserves and consequently for the miombo woodland eco-system. the Selous - Niassa ecosystem is one of the largest trans-boundary natural dry forest eco-regions in Africa. It constitutes one of the largest elephant ranges in the world and contains half of the world remaining wild dog population. it enables migration of wildlife and gene flow and contributing to the conservation of biodiversity.</p> <p>The dataset is organised in tiles, thus there is one folder for each of the Sentinel-2 tiles used. For each of these folders, there are the labels (both in vector and raster format) and the acquisitions organised in different acquisitions times.<br> Specifically, the dataset has the following folder structure:</p> <ul> <li>LandCover_Train_v2: directory for the training dataset of UC2 <ul> <li>00XXX (e.g.: 37MCN): folders with Sentinel-2 tile name. <ul> <li>labels: folder with raster and vector labels. The name of the label files in both format is the name of the Sentinel-2 tile to which they refer to (e.g.: 37MCN.tif/37MCN.shp) <ul> <li>raster: labels in raster format (.tif)</li> <li>vector: labels in vector format (.shp)</li> </ul> </li> <li>AAAAMMDD (e.g.: 20170630): folders with datetime of the Sentinel-2 acquisition. It contains all the 13 bands of the acquisition plus the TCI (True Color Image) in jp2 format.</li> </ul> </li> </ul> </li> <li>LandCover_Test: directory for the test dataset of UC2 <ul> <li>00XXX (e.g.: 37MCN): folders with Sentinel-2 tile name. <ul> <li>labels: folder with raster and vector labels. The name of the label files in both format is the name of the Sentinel-2 tile to which they refer to (e.g.: 37MCN.tif/37MCN.shp) <ul> <li>raster: labels in raster format (.tif)</li> <li>vector: labels in vector format (.shp)</li> </ul> </li> <li>AAAAMMDD (e.g.: 20170630): folders with datetime of the Sentinel-2 acquisition. It contains all the 13 bands of the acquisition plus the TCI (True Color Image) in jp2 format.</li> </ul> </li> </ul> </li> <li>GT_legend.xlsx: excel file with the association between the classes and the assigned number value in the raster version of the labels</li> </ul>

opencc-by-4.0May 2023View details →
zenodo32/100

Data from: Decision and response monitoring during working memory are sequentially represented in the human insula

<p>This dataset is associated with the manuscript &quot;Decision and response monitoring during working memory are sequentially represented in the human insula&quot;,&nbsp;and provides all preprocessed files necessary to replicate&nbsp;the results.</p> <p>In this study,&nbsp;we recorded&nbsp;intracranial EEG data (specifically, SEEG) from the insula of&nbsp;12 patients with pharmacoresistant epilepsy while they were performing a verbal working memory task.</p> <p>The present dataset consists of preprocessed neural activity (Time-Frequency Representation, 4-150 Hz), electrode coordinates (in MNI template space),&nbsp;related insula&nbsp;subregion&nbsp;labels, and 3D mesh of bilateral insula. TFR data is sampled at 200 Hz, and epoched into 12-second trials.</p> <p>The code we used to preprocess and analyze the data is hosted <a href="https://github.com/ludovicbellier/InsulaWM">on Github</a>.</p>

opencc-by-4.0May 2023View details →
zenodo32/100

Two representative triggered lightning flashes recorded at Langmuir Lab and their polarity asymmetries

<p>This data set contains Lightning Mapping Array (LMA)&nbsp;and shunt current measurements&nbsp;for two representative triggered lightning flashes recorded at Langmuir Lab &mdash; one of each polarity. Use the script&nbsp;loadNplot_triggered_flash_zenodo.m to load and plot the data.</p>

opencc-by-4.0Jun 2023View details →
zenodo32/100

Surface EMG data from seven representative forearm areas during seven grasps relevant for personal autonomy

<p>This dataset contains 3150 data of four sEMG characteristics: muscle activity, zero crossing, enhanced wavelength and enhanced mean absolute value. while performing seven grasp types. Data were recorded using surface EMG electrodes from seven representative forearm areas.&nbsp;</p> <p>Data are presented as a&nbsp; Matlab data structure (<em>.mat</em>&nbsp;file). This structure contains the four sEMG characteristics classified as: subject, grasp, repetition and spot area. The fields contained in the structure are those detailed in the following scheme:</p> <ul> <li>Subject: subject ID;</li> <li>Grasp: Grasp ID;</li> <li>Repetition: Repetition of each grasp,&nbsp;from 1 to 3.</li> <li>Spot area: Spot ID for the seven representative spot areas, according to [1].</li> <li>FZC:&nbsp;zero crossing</li> <li>EWL:&nbsp;enhanced wavelength</li> <li>EMAV:&nbsp;enhanced mean absolute value</li> <li>AM: Muscle activity</li> </ul> <p>[1] Jarque-Bou, N. J., Vergara, M., Sancho-Bru, J. L., Alba, R.-S. &amp; Gracia-Ib&aacute;&ntilde;ez, V. Identification of forearm skin zones with similar muscle activation patterns during activities of daily living.&nbsp;<em>J. NeuroEngineering Rehabil.&nbsp;</em>(2018).</p>

opencc-by-4.0Jun 2023View details →
zenodo32/100

Turning to Religion as a Mediator of the Relationship Between Hopelessness and Job Satisfaction During the COVID-19 Pandemic Among Individuals Representing the Uniformed Services or Working in Professions of Public Trust in Poland

<p><strong>Introduction.</strong> During the COVID-19 pandemic individuals performing uniformed service or working in a profession of public trust are particularly exposed to chronic stress.&nbsp; The consequences of stress in turn translate into a decrease in quality of life across various domains, including professional functioning. The perceived mental difficulties can lead to feeling of hopelessness, which in turn can generate a decrease in job satisfaction. Religiosity is a factor which, in stress-inducing conditions, not only stops the spiral of perceived resource losses but also triggers gains in the resources possessed.</p> <p><strong>Aim.</strong> In this study, we tested - in the light of Conservation of resources theory (COR) - whether during the COVID-19 pandemic, the preference for positive religious coping strategies (turning to religion) by people declaring religiosity is a mediator for the relationship between perceived hopelessness and job satisfaction.</p> <p><strong>Methods.</strong> The study covered 238 individuals representing the uniformed services or working in professions of public trust in Poland. The Inventory for Measuring Coping with Stress (MINI-COPE) and The&nbsp;Beck Hopelessness Scale&nbsp;(BHS) and were employed in the research. <strong>Results.</strong> The mediating role of turning to religion in relationship between perceived hopelessness and job satisfaction was confirmed only in the group of women. The relationship found in this group indicates that perceived hopelessness is alleviated by turning to religion, which at the same time leads to an increase in job satisfaction.</p> <p><strong>Conclusion.</strong> The obtained results prove that it should be standard practice to offer specialist help after potentially traumatic events in the workplace not only in the form of emotional and/or instrumental support but also in the form of spiritual help.</p>

opencc-by-4.0Jun 2023View details →
zenodo32/100

FIGURE 5. Representative Rhytiphora species, dissections. A in The Australian genus Rhytiphora (Coleoptera: Cerambycidae: Lamiinae) with a revision of the Rhytiphora collaris group

FIGURE 5. Representative Rhytiphora species, dissections. A: Clade 1 head, lateral. B: Clade 1 prothorax, lateral. C: Clade 2 head, lateral. D: foreleg. E: mid leg. F: Clade 1 male abdomen, ventral. G: Clade 2 male abdomen, ventral.

opennotspecifiedJul 2023View details →
zenodo32/100

FIGURE 3 in A new species of Kana Distant representing the first record of Evacanthinae (Hemiptera: Cicadellidae) from Madagascar

FIGURE 3. Male terminalia of Kana species from Asia and Africa. A-C, K. decora, specimen from Gunung Mulu National Park, Sarawak, Malaysia (INHS): A, genital capsule, lateral view; B, genitalia, lateral view; C, aedeagus, posterior view. D-G, K. semela, specimen from Central African Republic (AMNH): D, genital capsule, lateral view; E, detail of pygofer apex, lateral view; F, genitalia, lateral view; G, aedeagus, posterior view.

opennotspecifiedJul 2023View details →
zenodo32/100

FIGURE 9 in Cis occamy sp. nov, the first representative of the Cis bilamellatus species-group (Coleoptera, Ciidae) in the Neotropical region

FIGURE 9. Distribution map of Cis occamy sp. n. (red triangles) in the South and Southeast Regions of Brazil.

opennotspecifiedJul 2023View details →
zenodo32/100

FIGURE 9. Zetorchella arsiensis Ermilov, 2023 in First data on ontogeny of the oribatid mite family Caloppiidae (Acari, Oribatida) with description of juvenile instars of the representative of the genus Zetorchella

FIGURE 9. Zetorchella arsiensis Ermilov, 2023, larva (A) and deutonymph (B–G), microscope images: A, B—dorsal view; C—some setae of prodorsum, left lateral view; D—part of subcapitulum, ventral view; E—part of epimeral region, ventral view; F—microsclerites at the base of some notogastral setae; G—microsclerite at the base of adanal seta.

opennotspecifiedAug 2023View details →
zenodo32/100

FIGURE 2. Zetorchella arsiensis Ermilov, 2023 in First data on ontogeny of the oribatid mite family Caloppiidae (Acari, Oribatida) with description of juvenile instars of the representative of the genus Zetorchella

FIGURE 2. Zetorchella arsiensis Ermilov, 2023, protonymph: A—dorsal view (some notogastral setae not shown); B—ventral view (gnathosoma and legs except trochanters not shown). Scale bar 50 μm.

opennotspecifiedAug 2023View details →
zenodo32/100

FIGURE 1. Zetorchella arsiensis Ermilov, 2023 in First data on ontogeny of the oribatid mite family Caloppiidae (Acari, Oribatida) with description of juvenile instars of the representative of the genus Zetorchella

FIGURE 1. Zetorchella arsiensis Ermilov, 2023, larva: A—dorsal view; B—ventral view (gnathosoma and legs except trochanters not shown). Scale bar 50 μm.

opennotspecifiedAug 2023View details →
zenodo32/100

FIGURE 8. Zetorchella arsiensis Ermilov, 2023 in First data on ontogeny of the oribatid mite family Caloppiidae (Acari, Oribatida) with description of juvenile instars of the representative of the genus Zetorchella

FIGURE 8. Zetorchella arsiensis Ermilov, 2023, deutonymph: A—leg II, right, antiaxial view; B—leg IV, left, antiaxial view. Scale bar 50 μm.

opennotspecifiedAug 2023View details →
zenodo32/100

FIGURE 5. Zetorchella arsiensis Ermilov, 2023 in First data on ontogeny of the oribatid mite family Caloppiidae (Acari, Oribatida) with description of juvenile instars of the representative of the genus Zetorchella

FIGURE 5. Zetorchella arsiensis Ermilov, 2023, larva (A, C, D, F) and deutonymph (B, E): A, B—right lateral view (gnathosoma and legs except trochanters not shown); C—subcapitulum, ventral view; D—palp, left, paraxial view; E—palp, right, antiaxial view. Scale bars 100 μm (B), 50 μm (A), 10 μm (C–F).

opennotspecifiedAug 2023View details →
zenodo32/100

FIGURE 7. Zetorchella arsiensis Ermilov, 2023 in First data on ontogeny of the oribatid mite family Caloppiidae (Acari, Oribatida) with description of juvenile instars of the representative of the genus Zetorchella

FIGURE 7. Zetorchella arsiensis Ermilov, 2023, deutonymph: A—leg I, right, antiaxial view; B—leg III, left, antiaxial view. Scale bar 50 μm.

opennotspecifiedAug 2023View details →
zenodo32/100

FIGURE 6. Zetorchella arsiensis Ermilov, 2023 in First data on ontogeny of the oribatid mite family Caloppiidae (Acari, Oribatida) with description of juvenile instars of the representative of the genus Zetorchella

FIGURE 6. Zetorchella arsiensis Ermilov, 2023, larva: A—leg I, right, antiaxial view; B—leg II, left, dorsal view; C—leg III, right, paraxial view. Scale bar 20 μm.

opennotspecifiedAug 2023View 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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