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1,298 results for “Archive”
University Archives Literature Review Dataset | A detailed exploration of the produced research studies of the last 15 years
<p>Based on this retrieved dataset, an effort is given to provide clarity, up-to-date knowledge, and ongoing insights into University Archives research studies over the last 15 years. This will give a clear view to the university archivists and researchers regarding the nature of the topic and how it is investigated and evolved until now by prior relevant research efforts (Hart, 2018). To achieve this goal, in this literature review, we deployed the proposed methodology of Kitchenham (2004). This methodology involves five sequential steps: i)the identification of related studies, ii)the studies selection, iii)the studies quality assessment, the iv)data extraction and data synthesis.</p> <p>The dataset contains information regarding 49 papers and their metadata. That is, title of the study, the year of publication, the type of publication, document type (journal, conference paper, or book chapter etc.), the URL link where the study could be found, the full citation at APA style, and lastly the abstract.of each research document.</p>
MARIDA: Marine Debris Archive
<p>MARIne Debris Archive (MARIDA) is a marine debris-oriented dataset on Sentinel-2 satellite images. It also includes various sea features that co-exist. MARIDA is primarily focused on the weakly supervised pixel-level semantic segmentation task. </p> <p><strong>Citation: </strong>Kikaki K, Kakogeorgiou I, Mikeli P, Raitsos DE, Karantzalos K (2022) MARIDA: A benchmark for Marine Debris detection from Sentinel-2 remote sensing data. PLoS ONE 17(1): e0262247. <a href="https://doi.org/10.1371/journal.pone.0262247">https://doi.org/10.1371/journal.pone.0262247</a></p> <p>For the quick start guide visit <a href="https://marine-debris.github.io">marine-debris.github.io</a></p> <p> </p> <p>The dataset contains:</p> <p>i. 1381 patches (256 x 256) structured by Unique Dates and S2 Tiles. Each patch is provided along with the corresponding masks of pixel-level annotated classes (*_cl) and confidence levels (*_conf). Patches are given in GeoTiff format.</p> <p>ii. Shapefiles data in WGS’84/ UTM projection, with file naming convention following the scheme: s2_dd-mm-yy_ttt, where s2 denotes the S2 sensor, dd denotes the day, mm the month, yy the year and ttt denotes the S2 tile. Shapefiles include the class of each annotation along with the confidence level and the marine debris report description.</p> <p>iii. Train, Validation and Test split for evaluating machine learning algorithms.</p> <p>iv. The assigned multi-labels for each patch (labels_mapping.txt).</p> <p>The mapping between Digital Numbers and Classes is:</p> <blockquote> <p>1: Marine Debris<br> 2: Dense Sargassum<br> 3: Sparse Sargassum<br> 4: Natural Organic Material<br> 5: Ship<br> 6: Clouds<br> 7: Marine Water<br> 8: Sediment-Laden Water<br> 9: Foam<br> 10: Turbid Water<br> 11: Shallow Water<br> 12: Waves<br> 13: Cloud Shadows<br> 14: Wakes<br> 15: Mixed Water</p> </blockquote> <p>The mapping between Digital Numbers and Confidence level is:</p> <blockquote> <p>1: High<br> 2: Moderate<br> 3: Low</p> </blockquote> <p>The mapping between Digital Numbers and marine debris Report existence is:</p> <blockquote> <p>1: Very close<br> 2: Away<br> 3: No</p> </blockquote> <p> </p> <p>The final uncompressed dataset requires 4.38 GB of storage.</p>
Serbo-Croatian DBnary archive in original Lemon format
<p>The DBnary dataset is an extract of Wiktionary data from many language editions in RDF Format. Until July 1st 2017, the lexical data extracted from Wiktionary was modeled using the lemon vocabulary.</p> <p>This dataset contains the full archive of all DBnary dumps in Lemon format containing lexical information from Serbo-Croatian language edition, ranging from 16th April 2015 to 1st July 2017.</p> <p>After July 2017, DBnary data has been modeled using the ontolex model and will be available in another Zenodo entry. </p>
Fig. 6 in Phylogeography of three endemic birds of Maratua Island, a potential archive of Bornean biogeography
Fig. 6. Borneo map showing possible Pleistocene rainforest refuges (yellow and orange) and the modern distribution of Copsychus stricklandii (orange).
Fig. 5 in Phylogeography of three endemic birds of Maratua Island, a potential archive of Bornean biogeography
Fig. 5. ND2 phylogeographic tree and haplotype network of Blacknaped Monarch (Hypothymis azurea) populations. A, Maximum likelihood bootstrap tree. Numbers by branches are bootstrap support (70% and above). B, Haplotype network. Circle size indicates proportion of individuals with a given haplotype, and cross hatches indicate nucleotide changes (larger numbers of changes are noted in square boxes).
Fig. 2 in Phylogeography of three endemic birds of Maratua Island, a potential archive of Bornean biogeography
Fig. 2. Distribution (dark areas) of the three species or species groups whose Maratua populations were examined in this study (Collar, 2005; Fishpool & Tobias, 2005; Coates et al., 2006). In (B), the distribution of Copsychus stricklandii stricklandii in northeast Borneo is indicated in black.
Fig. 3 in Phylogeography of three endemic birds of Maratua Island, a potential archive of Bornean biogeography
Fig. 3. ND2 phylogeographic tree and haplotype network of populations of White-rumped Shama, Copsychus malabaricus (top figure), and White-crowned Shama, C. stricklandii (bottom two figures). A, Maximum likelihood bootstrap tree. Numbers by branches are bootstrap support (70% and above). Labels are specimen numbers; B, Haplotype network. Circle size indicates proportion of individuals with a given haplotype, and cross hatches indicate nucleotide changes (larger numbers of changes are noted in square boxes).
Fig. 1 in Phylogeography of three endemic birds of Maratua Island, a potential archive of Bornean biogeography
Fig. 1. Location of Maratua Island off the east coast of Borneo (inset). Bathymetric contours are, from shallowest to deepest, -40 m, -120 m, and -200 m. Water depth data are from GEBCO One Minute Grid—a global one arc-minute grid; data updated in 2008 (http:// www.gebco.net/data_and_products/gridded_bathymetry_data/). Inset from www.maps-for-free.com.
Code and data archive to accompany "A derivative-free optimisation method for global ocean biogeochemical models", Oliver et. al. 2021
<p>This archive is to accompany the article:</p> <p>A derivative-free optimisation method for global ocean biogeochemical models,<br> Sophy Oliver, Coralia Cartis, Iris Kriest, Simon Tett, and Samar Khatiwala.</p> <p>The optimisation framework used in this study can be found here: https://doi.org/10.5281/zenodo.5517610</p> <p>The original source code of MOPS were from the Supplement of Kriest et al. (2017).<br> The most recent TMM source code is available at https://github.com/samarkhatiwala/tmm.</p> <p>In this archive:</p> <p>Supplement/Configurations/OxfordMOPS_Configs contains:<br> - ReadOnlyFiles (Files and Code specifically used to run the global ocean biogeochemical model MOPS model with<br> the Transport Matrix Method, which have been edited to differ from the versions downloaded from the sources above.)<br> - RunCode (runscripts to run the MOPS model with the TMM)<br> - TWIN_Configs (JSON files required by each optimisation experiment carried out).</p> <p>Supplement/OxfordMOPS_EXP contains data for each iteration of all optimisation experiments carried out.</p> <p>Supplement/OPTCLIMSO_PlottingScripts contains MATLAB plotting scripts used to create results figures of these experiments.</p>
Vertically pointing doppler radar profiles (24 GHz Metek MRR-2) at Mario Zucchelli Station (Terra Nova Bay, Antarctica), aggregated to 5min, monthly netCDF archive
<p>Vertical profiles along the first kilometre of atmosphere above the ground (from 105 to 1050 m AGL) of equivalent radar reflectivity factor (Ze), Doppler velocity (W) and Doppler spectral width (Sw) from a 24-GHz vertically pointing Micro Rain Radar MRR-2 by METEK GmbH positioned at Mario Zucchelli Station (Terra Nova Bay, Antarctica).</p> <p>Metadata available at <a href="https://antarcticdatacenter.cnr.it/geonetwork/srv/api/records/6fe32f1f-247e-493d-9cd3-88714e5b38ef" target="_blank" rel="noopener">https://antarcticdatacenter.cnr.it/geonetwork/srv/api/records/6fe32f1f-247e-493d-9cd3-88714e5b38ef</a></p> <p>--------------------------------------------------------------------</p> <p>Example of netCDF file structure: </p> <h2>File "MZS_MRR_MeK_201912_5min.nc"</h2> <pre><strong> dimensions</strong>: <em>range </em>= 31; <em>time </em>= UNLIMITED; // (8928 currently) <strong>variables</strong>: float <em>Ze</em>(range=31, time=8928); :description = "Equivalent reflectivity factor relative to the most significant peak, dealiased, 5min non-logarithmic average. NaN means clear sky at the specified height."; :units = "dBZ"; :_ChunkSizes = 31U, 1U; // uint long <em>time_UTC</em>(time=8928); :description = "Measurement time. Timestamp indicates the end of the aggregation interval, e.g. 01-Mar-2020 00:05:00 represents the average of the variables between 01-Mar-2020 00:00:01 and 01-Mar-2020 00:05:00."; :time_zone = "UTC"; :units = "Seconds since 1970-01-01 00:00:00 (Unix time)."; :_ChunkSizes = 512U; // uint float <em>W</em>(range=31, time=8928); :description = "Mean Doppler Velocity of the most significant peak, dealiased, 5min average. Value not available in clear-sky conditions."; :units = "m s^-1"; :_ChunkSizes = 31U, 1U; // uint float <em>height</em>(range=31, time=8928); :description = "Height above instrument."; :units = "m"; :_ChunkSizes = 31U, 1U; // uint float <em>spectralWidth</em>(range=31, time=8928); :description = "Doppler Spectral Width of the most significant peak, dealiased, 5min average. Value not available in clear-sky conditions."; :units = "m s^-1"; :_ChunkSizes = 31U, 1U; // uint // <strong>global attributes</strong>: :<em>title </em>= "Micro rain radar data processed with IMProToo (Maahn, M. and Kollias, P., 2012), aggregated to 5min, monthly netCDF archive."; :<em>comment </em>= "IMProToo has been developed for improved snow measurements. Note that this data has been processed regardless of precipitation type."; :<em>time_label </em>= "Dec 2019"; :<em>source </em>= "Micro Rain Radar 2 (MRR-2), METEK GmbH, at MZS (Antarctica), frequency: 24 GHz, power: 50 mW, antenna diameter: 60 cm [https://metek.de/product/mrr-2/]"; :<em>institution </em>= "CNR-ISAC, Rome (IT)"; :<em>contact_person </em>= "Luca Baldini, CNR-ISAC, Rome (IT), l.baldini@isac.cnr.it"; :<em>location </em>= "Mario Zucchelli Station (Terra Nova Bay, Antarctica, 74°42\'S, 164°07\'E, 15 m a.s.l.)"; :<em>author </em>= "Giacomo Roversi, Ca\' Foscari University, Venice (IT) and CNR-ISAC, Rome (IT), g.roversi@isac.cnr.it"; :<em>creation_date </em>= "22-Oct-2024 17:40:46 UTC"; :<em>coverage </em>= "Monthly coverage (Dec 2019): 100 %"; :<em>time_resolution </em>= "5 minutes"; :<em>history </em>= "Created with IMProToo v0.107 [https://github.com/maahn/IMProToo], aggregated to 5 minutes temporal resolution with an average of the 1-minute values if least 3 out of 5 are not NaN."; </pre>
Discover the Data Archiving Guide (DAG) - a training event for new(ish) staff members [Workshop recording]
<p>The CESSDA Data Archiving Guide (https://dag.cessda.eu/) is a new resource developed by CESSDA and is designed to provide employees at data archives and repositories with an understanding of the work a data archive performs. The information in the DAG was collected by experts from CESSDA social science data archives reflecting the procedures and policies at their local archives. While the context of these archives varies — in size, the underlying technical architecture or in the specific services provided to researchers — the DAG focuses on common ground and is a useful tool for professionals new to data archiving or those who are knowledgeable in one domain and now seek to broaden their expertise.<br> <br> The full-day workshop was targeted mainly for new employees in data archives; people generally interested in the DAG were welcome as well.<br> <br> This workshop focused specifically on the Chapters Pre-Ingest, Ingest and FAIR with an additional excursion into the glossary to deepen participant's knowledge in a playful way.</p> <p>The video is also available on the <a href="https://www.youtube.com/watch?v=yzPzVK5UZKE">CESSDA Training YouTube Channel</a>.</p>
FIGURE 78 in An inordinate fondness for inconspicuous brown frogs: integration of phylogenomics, archival DNA analysis, morphology, and bioacoustics yields 24 new taxa in the subgenus Brygoomantis (genus Mantidactylus) from Madagascar
FIGURE 78. Mantidactylus manerana fotaka ssp. nov. in life. (a,b) Adult female from Sorata in dorsolateral and ventral view. Specimen probably corresponding to a voucher deposited in the UADBA collection.
FIGURE 77 in An inordinate fondness for inconspicuous brown frogs: integration of phylogenomics, archival DNA analysis, morphology, and bioacoustics yields 24 new taxa in the subgenus Brygoomantis (genus Mantidactylus) from Madagascar
FIGURE 77. Audiospectrogram and corresponding oscillogram of one advertisement call of the holotype of Mantidactylus manerana manerana, recorded on 17 November 2016 at Camp Simpona, Marojejy National Park (ca 20°C air temperature). Recording bandpass-filtered at 350–6000 Hz.
FIGURE 76 in An inordinate fondness for inconspicuous brown frogs: integration of phylogenomics, archival DNA analysis, morphology, and bioacoustics yields 24 new taxa in the subgenus Brygoomantis (genus Mantidactylus) from Madagascar
FIGURE 76. Mantidactylus manerana manerana sp. nov. from Marojejy in life, in dorsolateral and ventral view. (a,b) Adult male (holotype ZSM 500/2016 = ZCMV 15162), photographed in 2016. (c,d). Adult male (ZSM 209/2005 = FGZC 2881), photographed in 2005. (e,f) Adult male (ZSM 207/2005 = FGZC 2846), photographed in 2005.
FIGURE 73 in An inordinate fondness for inconspicuous brown frogs: integration of phylogenomics, archival DNA analysis, morphology, and bioacoustics yields 24 new taxa in the subgenus Brygoomantis (genus Mantidactylus) from Madagascar
FIGURE 73. Preserved lectotype of Mantidactylus inaudax, and holotype specimens of newly named species and subspecies in the M. inaudax clade. Scale bars equal 5 mm.
FIGURE 71 in An inordinate fondness for inconspicuous brown frogs: integration of phylogenomics, archival DNA analysis, morphology, and bioacoustics yields 24 new taxa in the subgenus Brygoomantis (genus Mantidactylus) from Madagascar
FIGURE 71. Audiospectrogram and corresponding oscillogram of a 1000 ms section of a series of advertisement calls (three calls figured) tentatively allocated to Mantidactylus glosi, recorded on 26 February 2006 at Ambatovory (air temperature not measured). Recording bandpass-filtered at 640–2300 Hz.
FIGURE 70 in An inordinate fondness for inconspicuous brown frogs: integration of phylogenomics, archival DNA analysis, morphology, and bioacoustics yields 24 new taxa in the subgenus Brygoomantis (genus Mantidactylus) from Madagascar
FIGURE 70. Mantidactylus glosi sp. nov. (a) Adult female (possibly corresponding to ZSM 433/2006 = ZCMV 3364), from Ambatovory, Ranomafana, in dorsolateral view, photographed in 2003. (b). Specimen from Ambatovory, Ranomafana, in dorsolateral view, photographed in 2003 and only tentatively attributed to this species. (c, d) Female JCR328 from Andalangina, Ranomafana, in dorsolateral and ventral views.
FIGURE 75 in An inordinate fondness for inconspicuous brown frogs: integration of phylogenomics, archival DNA analysis, morphology, and bioacoustics yields 24 new taxa in the subgenus Brygoomantis (genus Mantidactylus) from Madagascar
FIGURE 75. Audiospectrogram and corresponding oscillogram of one advertisement call of Mantidactylus inaudax, recorded on 23 June 2009 at Makira West (air temperature estimated at 20–25°C). Recording bandpass-filtered at 640–6500 Hz.
FIGURE 69 in An inordinate fondness for inconspicuous brown frogs: integration of phylogenomics, archival DNA analysis, morphology, and bioacoustics yields 24 new taxa in the subgenus Brygoomantis (genus Mantidactylus) from Madagascar
FIGURE 69. Mantidactylus eulenbergeri sp. nov. in life, in dorsolateral and ventral view. (a,b) Adult male (holotype ZSM 85/2002 = FGMV 2001.1092) from Andasibe.
FIGURE 68 in An inordinate fondness for inconspicuous brown frogs: integration of phylogenomics, archival DNA analysis, morphology, and bioacoustics yields 24 new taxa in the subgenus Brygoomantis (genus Mantidactylus) from Madagascar
FIGURE 68. Mantidactylus brevirostris sp. nov. from Betampona in life, in dorsolateral view. (a) Unsexed individual (ACP5444 = Bet76). (b) Unsexed individual (ACP5463 = Bet101). (c) Unsexed individual (ACP5463 = Bet68). (d) Unsexed individual (ACP5467 = Bet91).
ScienceDex guides
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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.