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8,375 results for “nationalism”
Fig. 34 in Catalogue of type specimens of braconid wasps (Hymenoptera: Braconidae) deposited in the National Museum, Prague, Czech Republic
Fig. 34. Characteristic determination labels used by Maximilian Fischer which are under the type material deposited in NMPC.
Fig. 33 in Catalogue of type specimens of braconid wasps (Hymenoptera: Braconidae) deposited in the National Museum, Prague, Czech Republic
Fig. 33. Different types of locality labels used by P. Starý in 1950s and locality label used by A. Hoffer with paratype labels by A. Taeger.
Fig. 8 in Catalogue of type specimens of braconid wasps (Hymenoptera: Braconidae) deposited in the National Museum, Prague, Czech Republic
Fig. 8. Paratype of Ropalophorus wisconsinensis Shenefelt, 1960 with its labels (scale bar = 2.5 mm).
Code for the publication "DOSE - Global data set of reported sub-national economic output"
<p>The zipped file of this repository contains code and auxiliary data to reproduce the results of the publication:</p> <p>Wenz et al, "DOSE - Global data set of reported sub-national economic output"</p> <p>The respective DOSE database, version2 can be found here: <a href="http://doi.org/10.5281/zenodo.4681305">https://zenodo.org/record/7573249#.Y_RYTnbMI2w</a></p> <p>Please see the README document for descriptions of the required dependencies.</p>
Results from a National Survey of Canadian Perspectives on Predicting River Channel Migration and River Bank Erosion
<p>This dataset contains findings from a national survey of Canadian perspectives on predicting river channel migration and river bank erosion. The online survey was conducted by researchers from the University of Guelph from November 2, 2021 through January 31, 2022 and received more than 40 responses from regions across Canada.</p>
National Open Access Monitor Survey: Defining Requirements: Responses Dataset
<p>This dataset contains the response data from the ‘National Open Access Monitor Survey: Defining Requirements’ which was carried out between February 2-28th 2023 under the National Open Access Monitor Project: <a href="https://doi.org/10.5281/zenodo.7588787">https://doi.org/10.5281/zenodo.7588787</a></p> <p>To note: </p> <ul> <li>Email addresses have been redacted. </li> <li>Responses have been pseudonymised to the level of stakeholder-group e.g. Contributor 1, Research Funding Organisation #, where requested by the participant in the participant consent form: <a href="https://doi.org/10.5281/zenodo.7589770">https://doi.org/10.5281/zenodo.7589770</a>. </li> <li>Detail within responses by individuals who requested pseudonymisation, which might identify the individual or the organisation has been removed and marked "[redacted]".</li> <li>Responses by individuals who did not provide a signed consent form in advance of contributing to the survey were deleted immediately on receipt, as advised in the survey text: <a href="https://doi.org/10.5281/zenodo.7588787">https://doi.org/10.5281/zenodo.7588787</a>. Such responses are not included in these files.</li> </ul> <p>There are five files within in this dataset:</p> <p>- <em>Results.NationalOpenAccessMonitorSurvey.DefiningRequirements.README - </em>this PDF details the changes made to the raw data, as specified in the bullet points above and a description of the files within the dataset.</p> <p>- <em>Results.NationalOpenAccessMonitorSurvey.DefiningRequirements.Pseudonymised.100323</em> - this is the original raw data, in csv format, as downloaded from the Online Surveys platform and subsequently pseudonymised and redacted.</p> <p>- <em>NationalOpenAccessMonitor.DefiningRequirements.Contributor3Government1.270223 - </em>this PDF file contains a single pseudonymised stakeholder response to the survey, obtained by the Project Manager by email and not through the Online Surveys platform.</p> <p>- <em>NationalOpenAccessMonitorSurvey.MasterChangeFile.080323 </em>- this is a change file, in csv format, which documents the changes which participants requested to be made to their submissions after they were received and the survey was closed.</p> <p>- <em>Results.NationalOpenAccessMonitorSurvey.DefiningRequirements.Pseudonymised.Updated.100323 - </em>this is the original raw data, pseudonymised and redacted, with the requested changes implemented. This is the file on which analysis was carried out for the purposes of the <a href="http://doi.org/10.5281/zenodo.7822367">survey outcome report</a> and the resulting National Open Access Monitor tender documents. </p> <p>------------------------</p> <p>The context for the survey files is detailed in the National Open Access Monitor Project Plan: <a href="https://doi.org/10.5281/zenodo.7331431">https://doi.org/10.5281/zenodo.7331431</a></p> <p>This project is managed by <a href="http://www.irel.ie/">IReL </a>and has received funding from Ireland’s National Open Research Forum under the NORF Open Research Fund. <a href="https://norf.ie/funding/">https://norf.ie/funding/</a> <a href="https://norf.ie/orf-projects-announcement/">https://norf.ie/orf-projects-announcement/</a></p>
NATIONAL CYBER VULNERABILITIES DATASET
<pre>This dataset contains relevant information on the set of cyber vulnerabilities cataloged so far that can affect different applications or software. This contains information about: their names, affected products, inclusion date, severity, score, affectations, among others. It is of vital importance in the world of cybersecurity. </pre>
Power of Place - National - Environmental and social impact score datasets
<p>Raster environmental and social datasets for Power of Place - National study as rasters for wind and solar PV. See technical slide deck on the Power of Place National website (The Nature Conservancy) for more details on how rasters were developed. </p>
Consensus recommendations for opioid agonist treatment following the introduction of emergency clinical guidelines in Ireland during the COVID-19 pandemic: A national Delphi study
<p>Anonymous Delphi survey likert scale responses (round 1 (S1-S32) and 2 (R2S1-R2S15)) <a href="https://zenodo.org/api/files/92371fe3-6af6-4044-ba3f-83a26b2fe471/Delphi_likert_responses_ano.csv?versionId=7c3aaa7b-8b43-43da-bfeb-fe644f33d3e2">Delphi_likert_responses_ano.csv</a> and corresponding statements in <a href="https://zenodo.org/api/files/92371fe3-6af6-4044-ba3f-83a26b2fe471/STATEMENTS_REPO.csv?versionId=ada85e7c-ba48-4f61-8e1a-d90dab9b4f05">STATEMENTS_REPO.csv</a>.</p>
Passive acoustic monitoring applied to black-and-white ruffed lemurs (Varecia variegata) in Ranomafana National Park, Madagascar
<p>Data accompanying the paper: <strong>"An integrated passive acoustic monitoring and deep learning pipeline applied to black-and-white ruffed lemurs (\textit{Varecia variegata}) in Ranomafana National Park, Madagascar"</strong></p> <p>Fieldwork was conducted at Mangevo (21.3833S, 47.4667E), an isolated and undisturbed forest location within Ranomafana National Park (RNP), located in southeastern Madagascar, during the period of May to July 2019. To facilitate passive acoustic monitoring, we deployed a total of two SongMeter SM4 devices (manufactured by Wildlife Acoustics) and two Swift units (provided by the Cornell Yang Center for Conservation Bioacoustics). The placement of these recorders was strategically chosen within the central regions of known subgroups, ensuring a minimum distance of 300 meters between each device. The SongMeter devices operated at a sampling rate of 48 kHz, while the Swift units operated at 32 kHz, respectively, enabling comprehensive audio data collection throughout the study period.</p> <p>We provide the audio data (.wav) used to train and test our neural network classifier along with the corresponding labelled text files (.data).</p> <p><strong>Files provided</strong></p> <ul> <li><strong>Test_Audio.zip </strong>-- contains (.wav) testing audio files</li> <li><strong>Test_Annotations.zip </strong>-- contains (.svl) manually annotated testing files which can be read in using Sonic Visualiser or by parsing the XML file in Python or another programming language. Load in the audio file into Sonic Visualiser and then drag-and-drop the corresponding .svl file.</li> <li><strong>Training_Audio_batch_x.zip -</strong>- several .zip files were created to simplify downloading. There are 10 batches, each is roughly 4GB. Each batch contains (.wav) training audio files</li> <li><strong>Training_Annotations.zip</strong> -- contains (.svl) manually annotated training files which can be read in using Sonic Visualiser or by parsing the XML file in Python or another programming language. Load in the audio file into Sonic Visualiser and then drag-and-drop the corresponding .svl file.</li> <li><strong>model_weights_tensorflow.hdf5 </strong>-- the Tensorflow model. Load the model using: model = tf.keras.models.load_model(model_filepath) note that the model expects a three channel input as explained in the research article.</li> </ul>
Fig. 63 in Survey of Linyphiidae spiders (Arachnida: Araneae) from Wulipo National Nature Reserve, Chongqing, China
Fig. 63. Wuliphantes trigyrus gen. et sp. nov., habitus, dorsal view. A. Holotype, ♂ (SWUC-T-LIN-25-01). B. Paratype, ♀ (SWUC-T-LIN-25-02).
Fig. 62 in Survey of Linyphiidae spiders (Arachnida: Araneae) from Wulipo National Nature Reserve, Chongqing, China
Fig. 62. Wuliphantes trigyrus gen. et sp. nov., ♀ (SWUC-T-LIN-25-02). A–B. Epigyne, ventral view. C. Vulva, anterior view.
Fig. 61 in Survey of Linyphiidae spiders (Arachnida: Araneae) from Wulipo National Nature Reserve, Chongqing, China
Fig. 61. Wuliphantes trigyrus gen. et sp. nov., ♂ holotype (SWUC-T-LIN-25-01), left palp. A. Prolateral view. B. Retrolateral view. C. Dorsal view. D. Ventral view.
Fig. 60 in Survey of Linyphiidae spiders (Arachnida: Araneae) from Wulipo National Nature Reserve, Chongqing, China
Fig. 60. Wuliphantes tongluensis (Chen & Song, 1988) gen. et comb. nov., habitus, dorsal view. A. ♂ (SWUC-T-LIN-24-01). B. ♀ (SWUC-T-LIN-24-02).
Fig. 59 in Survey of Linyphiidae spiders (Arachnida: Araneae) from Wulipo National Nature Reserve, Chongqing, China
Fig. 59. Wuliphantes tongluensis (Chen & Song, 1988) gen. et comb. nov., ♀ (SWUC-T-LIN-24-02). A–B. Epigyne, ventral view. C. Vulva, anterior view.
Fig. 58 in Survey of Linyphiidae spiders (Arachnida: Araneae) from Wulipo National Nature Reserve, Chongqing, China
Fig. 58. Wuliphantes tongluensis (Chen & Song, 1988) gen. et comb. nov., ♂ (SWUC-T-LIN-24-01), left palp. A. Prolateral view. B. Retrolateral view. C. Dorsal view. D. Ventral view.
Fig. 57 in Survey of Linyphiidae spiders (Arachnida: Araneae) from Wulipo National Nature Reserve, Chongqing, China
Fig. 57. Wuliphantes guanshan (Irfan, Wang & Zhang, 2022) gen. et comb. nov., habitus, dorsal view. A. ♂ (SWUC-T-LIN-01-01). B. ♀ (SWUC-T-LIN-01-02).
Fig. 46 in Survey of Linyphiidae spiders (Arachnida: Araneae) from Wulipo National Nature Reserve, Chongqing, China
Fig. 46. Stemonyphantes bifurcus sp. nov., holotype ♂ (SWUC-T-LIN-19-01), left palp. A. Prolateral view. B. Retrolateral view. C. Ventral view. D. Dorsal view.
Fig. 52. Walckenaeria asymmetrica Song & Li, 2011 in Survey of Linyphiidae spiders (Arachnida: Araneae) from Wulipo National Nature Reserve, Chongqing, China
Fig. 52. Walckenaeria asymmetrica Song & Li, 2011, ♂ (SWUC-T-LIN-23-01), left palp. A. Prolateral view. B. Retrolateral view. C. Dorsal view. D. Ventral view.
Fig. 54. Walckenaeria asymmetrica Song & Li, 2011. A–B in Survey of Linyphiidae spiders (Arachnida: Araneae) from Wulipo National Nature Reserve, Chongqing, China
Fig. 54. Walckenaeria asymmetrica Song & Li, 2011. A–B. ♂ (SWUC-T-LIN-23-01). C. ♀ (SWUC-T-LIN-23-02). A, C. Habitus, dorsal view. B. Habitus, lateral view.
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.