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3,101 results for “Historical”
Figure 3 in CHIPS: a database of historic fish distribution in the Seine River basin (France)
Figure 3. - Waterbodies with historical fish data.
Figure 1 in CHIPS: a database of historic fish distribution in the Seine River basin (France)
Figure 1. - Historical data: origin and percentages for observations from all sources.
Dataset from Osika and Jania (2024): Geomorphological and historical records of the surge-type behaviour of Hansbreen (Svalbard)
<h2>Geomorphological map of the terrestrial and submarine forefield of Hansbreen</h2> <p>This dataset contains shapefiles of geomorphological features in the terrestrial and submarine forefield of Hansbreen, a marine-terminating glacier in Hornsund (southern Spitsbergen, Svalbard), associated and described further in Osika and Jania (2024).</p> <p>Field investigation was conducted in 2021-2023. Mapping was performed in QGIS 3.22 using the WGS84/UTM33N spatial reference system and based on several datasets:</p> <ul> <li>a very high-resolution orthophotomap and DEM generated and published by Błaszczyk et al. (2022),</li> <li>bathymetric data generated and published by Błaszczyk et al. (2021) and from Kartverket.</li> </ul> <p>For detailed information about data sources used for mapping, see:</p> <p>Błaszczyk M and 12 others (2021) Factors controlling terminus position of Hansbreen, a tidewater glacier in Svalbard. J. Geophys. Res.: Earth Surf., 126(2), e2020JF005763 (doi: 10.1029/2020JF005763).</p> <p>Błaszczyk M, Laska M, Sivertsen A and Jawak SD (2022) Combined Use of Aerial Photogrammetry and Terrestrial Laser Scanning for Detecting Geomorphological Changes in Hornsund, Svalbard. Remote Sens., 14(3), 601. (doi: 10.3390/rs14030601).</p> <p> </p> <p><em>This work was funded by the National Science Centre of Poland (grant no. 2021/41/N/ST10/02070).</em></p> <p>Please cite the database alongside this resource: Osika A., Jania J., 2024: Geomorphological and historical records of the surge-type behaviour of Hansbreen (Svalbard). Annals of Glaciology 65, e31. doi:10.1017/aog.2024.32</p>
Vs30 and f0 values from the Project: Study of Historical Seismicity in Azuay and Seismic Microzonation of the Soils in Cuenca, Ecuador
<p>This study presents 100 Vs30 values and 530 f0 values derived from the project: Study of Historical Seismicity in Azuay and Seismic Microzonation of the Soils in Cuenca, Ecuador. The article, titled 'Seismic Microzonation of Cuenca: Soil Classification Based on Fundamental Frequency and Shear Wave Velocity,' explores the implications of these measurements for understanding local soil behavior under seismic conditions.</p>
Table 2 Unidentified species with a in Checklist of Water mites in Mexico. Historical background and DNA barcoding perspectives
<p><b>Table 2</b> Unidentified species with a DNA barcode in BOLD database. BINs indicate putative species. * Unique BINs this database.</p><table><tbody><tr><th><i>Taxa</i></th><th>BIN</th><th><i>Taxa</i></th><th>BIN</th><th><i>Taxa</i></th><th>BIN</th></tr></tbody><tbody><tr><th>Arrenuridae</th><td></td><td>Limnesiidae</td><td></td><td><b>Pionidae</b></td><td></td></tr><tr><th>Arrenuridae</th><td>AEA 4828*</td><td><i>Limnesiidae</i></td><td>AEA 4382*</td><td><i>Pionidae</i></td><td>AEA 4809*</td></tr><tr><th><i>Arrenurus cristinae</i></th><td>AEA 7842*</td><td><i>Centrolimnesia</i></td><td>AEA 3914*</td><td><i>Piona</i></td><td>AEA 5358*</td></tr><tr><th><i>Arrenurus eduardoi</i></th><td>AEA 7844*</td><td><i>Limnesia</i></td><td>AEA 6471*</td><td><i>Piona</i></td><td>AEE 5501*</td></tr><tr><th><i>Arrenurus federicoi</i></th><td>AEB 7095*</td><td><i>Limnesia</i></td><td>ACX 7759</td><td><i>Piona</i></td><td>AEN 6046*</td></tr><tr><th><i>Arrenurus ecosur</i></th><td>ACX 8463</td><td><i>Limnesia</i></td><td>ACY 7380</td><td><i>Piona</i></td><td>AEO 7290*</td></tr><tr><th><i>Arrenurus marshallae</i></th><td>ACL2521</td><td><i>Limnesia</i></td><td>AEA 5595</td><td><i>Piona</i></td><td>AER1599 *</td></tr><tr><th><i>Arrenurus</i></th><td>ACX 8462*</td><td><b>Hygrobatidae</b></td><td></td><td><i>Piona</i></td><td>AER1600 *</td></tr><tr><th><i>Arrenurus</i></th><td>ACX 8788*</td><td>Hygrobatidae</td><td>AEA 5236*</td><td><i>Piona</i></td><td>AER1601 *</td></tr><tr><th><i>Arrenurus</i></th><td>ACX 8789*</td><td>Hygrobatidae</td><td>AEA 4089*</td><td><b>Mideopsidae</b></td><td></td></tr><tr><th><i>Arrenurus</i></th><td>ACY 6809*</td><td><i>Atractides</i></td><td>ACX 7786*</td><td>Mideopsidae</td><td>AEB 4633*</td></tr><tr><th><i>Arrenurus</i></th><td>ADI 3752*</td><td><i>Hygrobates</i></td><td>AEA 3689*</td><td><i>Mideopsis</i></td><td>ACY 7169*</td></tr><tr><th><i>Arrenurus</i></th><td>ADI 4458*</td><td><i>Hygrobates</i></td><td>AEA 3690*</td><td><i>Mideopsis</i></td><td>AEA 6512*</td></tr><tr><th><i>Arrenurus</i></th><td>AEA 3972*</td><td><i>Hygrobates</i></td><td>AEA 3924*</td><td><i>Mideopsis</i></td><td>ACX 8679</td></tr><tr><th><i>Arrenurus</i></th><td>AEA 7182*</td><td><i>Hygrobates</i></td><td>ACX 7887</td><td><b>Krendowskiidae</b></td><td></td></tr><tr><th><i>Arrenurus</i></th><td>AEA 7843*</td><td><i>Hygrobates</i></td><td>ADO 7098</td><td><i>Krendowskia</i></td><td>ACX 8435*</td></tr><tr><th><i>Arrenurus</i></th><td>AEA 8234*</td><td><b>Unionicolidae</b></td><td></td><td><i>Geayia</i></td><td>ACT 6195</td></tr><tr><th><i>Arrenurus</i></th><td>AEF1989 *</td><td>Unionicolidae</td><td>AEA 6658*</td><td><b>Hydrachnidia</b></td><td>AEA3823*</td></tr><tr><th><i>Arrenurus</i></th><td>AEF 8444*</td><td>Unionicolidae</td><td>ACY 7381</td><td></td><td>AEA4343*</td></tr><tr><th><i>Arrenurus</i></th><td>ACL2418</td><td>Unionicolidae</td><td>AEB1594 *</td><td></td><td>AEF3494*</td></tr><tr><th><i>Arrenurus</i></th><td>ACX 8464</td><td>Unionicolidae</td><td>AEA 7951*</td><td></td><td>AEF8255*</td></tr><tr><th><b>Limnocharidae</b></th><td></td><td>Unionicolidae</td><td>AEA 6062*</td><td></td><td>AEF0324*</td></tr><tr><th>Limnocharidae</th><td>AEA 4515*</td><td>Unionicolidae</td><td>AEA 4829*</td><td></td><td>AEI2293*</td></tr><tr><th><i>Limnochares</i></th><td>ACY 6840*</td><td>Unionicolidae</td><td>AEA 3726*</td><td></td><td>AEI2954*</td></tr><tr><th><i>Limnochares</i></th><td>ADI 4862*</td><td>Unionicolidae</td><td>AEA 4514*</td><td></td><td>AEI4296*</td></tr><tr><th><i>Eylaidae</i></th><td></td><td><i>Unionicola</i></td><td>ACX 8035*</td><td></td><td>AEI4327*</td></tr><tr><th><i>Eylaidae</i></th><td>AEA 4696*</td><td><i>Unionicola</i></td><td>ADM 7936*</td><td></td><td>AEI4328*</td></tr><tr><th><i>Eylaidae</i></th><td>AEA 5669*</td><td><i>Unionicola</i></td><td>AEB 4634*</td><td></td><td>AEI4329*</td></tr><tr><th><i>Eylais</i></th><td>ADD 9174*</td><td><i>Unionicola</i></td><td>AEE 0841*</td><td></td><td>AEI8266*</td></tr><tr><th><b>Hydryphantidae</b></th><td></td><td><i>Unionicola</i></td><td>ACX 9008</td><td></td><td>AEI8707*</td></tr><tr><th><i>Hydryphantes</i></th><td>AEA 5005*</td><td><i>Unionicola</i></td><td>AEF2345</td><td></td><td>AEI 9124*</td></tr><tr><th><b>Hydrodromidae</b></th><td></td><td><i>Unionicola</i></td><td>ACX 8034</td><td></td><td>AEJ2119*</td></tr><tr><th><i>Hydrodroma</i></th><td>ADF 3732</td><td><i>Neumania</i></td><td>AEA 8101*</td><td></td><td>AEN6047*</td></tr><tr><th><b>Anisitsiellidae</b></th><td></td><td><i>Neumania</i></td><td>ACY 6829</td><td></td><td>AEN8226*</td></tr><tr><th><i>Mamersellides</i></th><td>AEA 6955*</td><td><i>Koenikea</i></td><td>ACY 7384*</td><td></td><td>AEN8227*</td></tr><tr><th><i>Mamersellides</i></th><td>AEA 6956*</td><td><i>Koenikea</i></td><td>ACB 9299</td><td></td><td>AEO5260*</td></tr><tr><th><i>Torrenticolidae</i></th><td></td><td><i>Koenikea</i></td><td>ADI2928</td><td></td><td>AER2566 *</td></tr><tr><th><i>Torrenticolidae</i></th><td>AEA 4395*</td><td><i>Koenikea</i></td><td>ADI 3114</td><td></td><td>AEB1898</td></tr><tr><th><i>Torrenticola</i></th><td>AEA 7372*</td><td></td><td></td><td></td><td></td></tr></tbody></table>
DWUG DE Sense: A data set of historical word sense annotations in German
<p>This data collection contains a subset of <a href="https://zenodo.org/record/5543723">DWUG DE</a> word usage data annotated with classical word sense definitions (<em>DWUG DE Sense</em>, see <code>data/*/judgments_senses.csv</code>). From these annotations aggregated and cleaned sense labels were derived (<code>labels/*/labels_senses.csv</code>). From these labels we derived additional binary semantic proximity labels between use pairs ('0' for different sense, '1' for same sense, <code>labels/*/labels_proximity.csv</code>) and change labels reflecting sense changes between the two time periods from which word usages were sampled (<code>stats/*/stats_groupings.csv</code>).</p> <p>The sense labels were derived from the sense annotation by removing instances where not at least 2/3 annotators agree on the label (<code>maj_2</code>/<code>maj_3</code>). Note that the binary proximity labels were <em>derived</em> from the sense annotation, and not directly judged by humans (in contrast to other <a href="https://www.ims.uni-stuttgart.de/data/wugs">WUG data sets</a>). Note that consequently also the change scores EARLIER, LATER and COMPARE were not calculated directly from human judgments, but from the inferred binary proximity labels. Please find the code aggregating and cleaning the data, deriving proximity labels and deriving change labels in the <a href="https://github.com/Garrafao/WUGs">WUG repository</a>.</p> <p>Please find more information on the provided data in the paper referenced below.</p> <p>Version: 1.0.1, 01.11.2024. Correct or remove some normalization and lemmatization errors in the uses. Updated references.</p> <h3>Reference</h3> <p>Dominik Schlechtweg, Frank D. Zamora-Reina, Felipe Bravo-Marquez, Nikolay Arefyev. 2024. <a href="https://doi.org/10.1007/s10579-024-09771-7">Sense Through Time: Diachronic Word Sense Annotations for Word Sense Induction and Lexical Semantic Change Detection</a>. Language Resources and Evaluation.</p> <p>Dominik Schlechtweg. 2023. <a href="http://dx.doi.org/10.18419/opus-12833">Human and Computational Measurement of Lexical Semantic Change</a>. PhD thesis. University of Stuttgart.</p>
MFCC Chroma features from "A New Curated Corpus of Historical Electronic Music"
<p>Audio Feature data to accompany the paper </p> <p>(2018) Nick Collins, Peter Manning and Simone Tarsitani "A New Curated Corpus of Historical Electronic Music: Collation, Data and Research Findings" Transactions of the International Society for Music Information Retrieval 1(1): 34-43</p> <p>https://transactions.ismir.net/articles/10.5334/tismir.5</p>
Mapping discrete forest age classes of Mediterranean pinelands since the pre-satellite era using historical orthoimage mosaics and machine learning.
<p>Data and sripts for Journal of Forestry Research submitted manuscript. Authors: Vicent Agustí Ribas Costa, Andrew Trlica, & Aitor Gastón González.</p> <p>This data and scripts are part of Vicent's PhD project at Universidad Politécnica de Madrid, supervised by Dr. Aitor. Contact Vicent for any queries at va.ribas@upm.es.</p> <p>The PNOA LiDAR and 1956 and 2021 orthophotos are openly available at the Centro de Descargas of the Instituto Geográfico Nacional (<a href="https://centrodedescargas.cnig.es/CentroDescargas/index.jsp">https://centrodedescargas.cnig.es/CentroDescargas/index.jsp</a>). The 1989 orthophoto is available under request at the Institut Cartogràfic i Geogràfic de les Illes Balears (<a href="https://www.caib.es/webgoib/institut-cartografic-i-geografic-de-les-illes-balears-icgib-">https://www.caib.es/webgoib/institut-cartografic-i-geografic-de-les-illes-balears-icgib-</a>).</p> <p>Forest inventory data is property of the landowners and managed by Terrapi World Ltd.</p>
Data from: Species tree estimation using ddRADseq data from historical specimens confirms the monophyly of highly disjunct species of Chloropyron (Orobanchaceae)
Sequence data exist for only about 1/5 of plant species; therefore we are at risk of losing many branches of the tree of life even before they are placed into a molecular evolutionary context. This necessitates methods for phylogeny estimation of understudied, rare, and threatened taxa, which often forces researchers to utilize historical collections. The restriction site-associated DNA sequencing (RADseq) family of reduced representation sequence generation has provided a flexible and efficient method for the rapid generation of hundreds to tens of thousands of loci, and has recently seen adoption for phylogeny estimation. However, these methods have been primarily utilized with freshly collected or well preserved tissue. Here we sample all taxa of a genus of rare flowering plants, Chloropyron (Orobanchaceae), from herbarium sheets dating up to 25 yr and use double digest restriction site-associated DNA sequencing (ddRADseq) to resolve intraspecific relationships. We find all species in Chloropyron to be monophyletic, with the inland taxon C. maritimum ssp. canescens sister to the rest of the coastal C. maritimum (ssp. maritimum + ssp. palustre), and the two distinct subspecies of C. molle to be each other's closest relative with strong support. In addition, we demonstrate the utility of reduced representation libraries to address phylogenomic problems in a group of rare species and address pitfalls of accurately inferring relationships when the amount of missing data is large, as is often the case when using historical specimens and rare taxa.
Metapopulation connectivity retains genetic diversity following historical bottleneck in a federally endangered seabird
<p>Despite intensive management since the 1970s, recovery of the endangered northwestern Atlantic population of the Roseate Tern (<i>Sterna dougallii dougallii</i>) has not offset low productivity from a female-biased sex ratio, low adult survival, and habitat constriction. Now, >90% of individuals breed at three sites within 200 km from Long Island, NY to Buzzards Bay, MA (warm-water subregion). To characterize the impact of historical bottlenecks, metapopulation structure, and demographic fluctuations on genetic variation, Roseate Terns from the warm-water (1870s, 1970s, 1997, 2016) and cold-water (Nova Scotia, Canada; 2018) subregions were genotyped at 8-16 microsatellites and two-three mitochondrial regions. Diversity declined in the warm-water subregion from the 1870s (H<sub>E</sub>= 0.44, A<sub>R</sub>= 2.86) and 1970s (H<sub>E</sub> = 0.53, A<sub>R </sub>= 3.25) to 1997 (H<sub>E</sub> = 0.38, A<sub>R </sub>= 2.58). Genetic signatures of bottlenecks persisted in 1997 (<i>P</i> = 0.001 – 0.003) and 2016 (<i>P</i> = <0.001 – 0.005), but an increase in variation occurred by 2016 (H<sub>E</sub>= 0.50, A<sub>R</sub>= 2.85). Weak structure was detected between contemporary warm- and cold-water subregions (θ = 0.06) and within the warm-water subregion (θ = 0.04). Both demographic (<span><span></span></span>= 3439-3821) and genetic (<span><span></span></span>= 3040) estimates suggested effective population size stability over the last 100 years, despite large fluctuations in census size (4000 – 8662). Results suggest that 50 years of management (restoring habitat, preventing gull encroachment, controlling predators) at colony sites supported a small, stable <i>N<sub>e</sub></i> and maintained a hierarchical metapopulation that allowed gene flow to redistribute genetic variation throughout the NW Atlantic. The metapopulation remains highly vulnerable to stochastic events but harbors resiliency and redundancy through gene flow and a stable <i>Ne</i>. For long-term persistence from a genetic perspective, managers must maintain the major source colonies, increase availability of high-quality peripheral breeding sites, and protect concentrated non-breeding sites that facilitate gene flow.</p>
Data Appendix for Lack, P., "Using Word Analysis to Track the Evolution of Emotional Well-being in Nineteenth-Century Industrializing Britain", Historical Methods (forthcoming)
<p>This file contains the data associated with the publication Lack, P., "Using Word Analysis to Track the Evolution of Emotional Well-being in Nineteenth-Century Industrializing Britain", <em>Historical Methods</em> (forthcoming). It quantifies the trend in emotional well-being expressed in a corpus of British pamphlets published between 1800 and 1900. The first page of the excel document presents this key data on the trend in emotional well-being. Sheet 1A presents summary statistics on the trend in emotional well-being and its correlation with GDP per capita and real wages. </p>
Supplemental material to 'A variational rigid-block modelling approach to nonlinear elastic and kinematic analysis of failure mechanisms in historic masonry structures subjected to lateral actions'
<p>This repository contains the data necessary to reproduce the content of the article:</p> <blockquote> <p>A variational rigid-block modelling approach to nonlinear elastic and kinematic analysis of failure mechanisms in historic masonry structures subjected to lateral actions (2021). Earthquake Engineering & Structural Dynamics, 1–23. <a href="https://onlinelibrary.wiley.com/doi/full/10.1002/eqe.3512">https://doi.org/10.1002/eqe.3512</a></p> </blockquote> <p>The file <strong>01_Dataset.zip</strong> contains the dataset. The companion document <strong>00_Dataset_description.pdf </strong>describes the content of the dataset, guiding the analyst to its use in order to (i) reproduce the article's results and (ii) compare the article's results to new results brought by the analyst, e.g. by comparison with other numerical models.</p> <p>Version history</p> <p>v2: updated references in 00_dataset description.pdf </p>
FIG. 3 in Historical insights on nearly 130 years of research on Paleozoic radiolarians
FIG. 3. — Number of synonymised new Paleozoic genera introduced yearly.
FIG. 2 in Historical insights on nearly 130 years of research on Paleozoic radiolarians
FIG. 2. — Number of new Paleozoic genera introduced yearly since 1890.
Replication package for: The real effects of monetary expansions: evidence from a large-scale historical experiment
<p>The replication materials contain a README file, STATA datasets and do-files. This replication package for Palma (2021) constructs the entire analysis from the data sources described in the published paper, using STATA. The replicator should expect the code to run for less than 10 minutes.</p> <p>Palma, N. (2021). The real effects of monetary expansions: evidence from a large-scale historical experiment. Review of Economic Studies, forthcoming</p> <p> </p>
Fig. 30 in Taxonomy and historical biogeography of the genus Rhyacophila P , 1834 on the Philippines (Insecta, Trichoptera)
Fig. 30: Tistribution map of the spinosellataspinosellata group in East and Southeast Asia.
Fig. 29 in Taxonomy and historical biogeography of the genus Rhyacophila P , 1834 on the Philippines (Insecta, Trichoptera)
Fig. 29: Tistribution map of the castaneacastanea group in Southeast Asia.
Fig. 28 in Taxonomy and historical biogeography of the genus Rhyacophila P , 1834 on the Philippines (Insecta, Trichoptera)
Fig. 28: Map of known localities of the spinosellata group in the Philippines.
Fig. 27 in Taxonomy and historical biogeography of the genus Rhyacophila P , 1834 on the Philippines (Insecta, Trichoptera)
Fig. 27: Map of known localities of the castaneacastanea group in the Philippines.
Figs 1-7 in Taxonomy and historical biogeography of the genus Rhyacophila P , 1834 on the Philippines (Insecta, Trichoptera)
Figs 1-7: Male genitalia, Rhyacophila baldensis sp. n., 1 – lateral view, 2 – dorsal
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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.
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.