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3,101 results for “Historical”
Logo of Historical Archive Aspra Spitia
<p>Logo of the digital community Aspra Spitia.<br> Historical archive from collections of the residents of Aspra Spitia, Antikyra and the people of the hellenic aluminium industry.</p> <p> </p> <p>Λογότυπο της ψηφιακής κοινότητας Άσπρα Σπίτια.<br> Ιστορικό αρχείο από συλλογές των κατοίκων των Άσπρων Σπιτιών, της Αντίκυρας και των ανθρώπων της ελληνικής βιομηχανίας αλουμινίου.</p>
A historic global ground-based monthly seasonal aerosol climatology based in AERONET data: a database 1993-2013
<table class="ds-includeSet-table detailtable table table-striped table-hover"> <tbody> <tr class="ds-table-row odd "> <td class="metadata-key label-cell" title="dc.description.abstract"> </td> <td class="metadata-field word-break">We present an aerosol classification based upon AERONET level 2.0 almucantar retrieval products from the period 1993 to 2012. In the initial phase of this research we opto-physically identified five major types of Bulk Columnar Aerosol (BCA) - based solely upon intensive optical properties of spectral Single Scattering Albedo (SSA), spectral Indices of Refraction (real – RRI and imaginary - IRI), and two Angstrom Exponents (extinction – EAE and absorption - AAE). These BCA we classified as Maritime Aerosol, Dust Aerosol, Urban Industrial Aerosol, Biomass Burning Aerosol, and Mixed Aerosol. The classification of a particular observation as one of these aerosol types is determined by its five-dimensional Mahalanobis distance (MD) to the centroid of each reference cluster (itself a 5-D hyperellipsoid). To retain a greater number of AERONET sites in the study (200+), we kept the variable space to 5-D. To generate reference clusters, we only retained data points that lie within 2 MD from the data centroid. Our typology is based on AERONET retrieved quantities, which do not include low optical depth values (AOD=440nm < 0.4 as per AERONET criteria for almucantar scan inversion). The classifications obtained will be useful in interpreting aerosol retrievals from satellite borne instruments and as input for regional climate models. The result is a dataset describing the types of aerosol particles that are distinct from one another in optical properties, and a geographic distribution of those aerosol types. We used the typology scheme upon the qualifying AERONET data archive, and produced seasonal aerosol climatologies by aerosol type for each of the AERONET sites included in the study, regional aerosol climatology maps, and a time-integrated global aerosol climatology map based entirely upon ground-based photometric data. An internally hyperlinked compendium of the individual AERONET site aerosol climatologies was produced to contain the results of the first phase of this work [available at https://ars.els-cdn.com/content/image/1-s2.0-S1352231016304265-mmc1.pdf]. Each of these five aerosol types can be further discriminated into specific sub-types by this same scheme. For example, optical discrimination into specific sub-types of Biomass Burning aerosol may provide insight into sources exhibiting spectrally distinct smoke properties. We then use the mathematical strategies to sort the global AERONET data retrievals into the aerosol type classified against the reference standards. We believe these strategies regarding aerosol differentiation using polarization data will be useful for analysis of the newer AERONET version 3 data retrievals, and data collected from the deployment of newer CIMEL sun-photometers (with enhanced polarization measurement capabilities) to the network. The resulting AERONET-based aerosol typology is useful for applications in aerosol optics, including forward modeling or radiative transfer for remote sensing algorithms, or evaluating radiative forcing calculations in atmospheric models.</td> </tr> </tbody> </table> <p>Necessary Reference Material:</p> <p><span><span><span><span><span><span><span><span><span><span>[1] Giordano, M. E.,<em> </em><em>On Interactions of Matter and Energy: Light and Particles in a Terrestrial Atmosphere Progress on Opto-Physical Recognition and Classification of Aerosols: </em>A PhD dissertation, University of Nevada, copyright M.E. Giordano, 294 pages, December 2019. URI: <a href="http://hdl.handle.net/11714/6686" title="http://hdl.handle.net/11714/6686">http://hdl.handle.net/11714/6686</a></span></span></span></span></span></span></span></span></span></span><span><span><span><span><span><span><span><span><span><span> <a href="https://scholarworks.unr.edu/handle/11714/6686?show=full" title="https://scholarworks.unr.edu/handle/11714/6686?show=full">https://scholarworks.unr.edu/handle/11714/6686?show=full</a></span></span></span></span></span></span></span></span></span></span></p> <p>[2]<span><span><span><span><span><span><span><span><span><span> Giordano, M.E., Ward, C.S., and Hamill, P.: <em>A Compendium of Aerosol Types Based on Mahalanobis Distances and AERONET data. </em>[An internally hyperlinked compendium of seasonal aerosol and local aerosol compositions] Atmospheric Environment, 140, 213-233,2016. </span></span></span></span></span></span></span></span></span></span><span><span><span><span><span><span><span><span><span><span><a href="https://doi.org/10.1016/j.atmosenv.2016.06.002" title="https://doi.org/10.1016/j.atmosenv.2016.06.002">https://doi.org/10.1016/j.atmosenv.2016.06.002</a></span></span></span></span></span></span></span></span></span></span><span><span><span><span><span><span><span><span><span><span> <a href="https://ars.els-cdn.com/content/image/1-s2.0-S1352231016304265-mmc1.pdf" title="https://ars.els-cdn.com/content/image/1-s2.0-S1352231016304265-mmc1.pdf">https://ars.els-cdn.com/content/image/1-s2.0-S1352231016304265-mmc1.pdf</a></span></span></span></span></span></span></span></span></span></span></p> <p><span><span><span><span><span><span><span><span><span><span>[3] </span></span></span></span></span></span></span></span></span></span><span><span><span><span><span><span><span><span><span><span>Hamill, P. J., Giordano, M. E., Ward, C.S., Giles, D., Holben, B.: <em>An AERONET - based aerosol</em></span></span></span></span></span></span></span></span></span></span><span><span><span><span><span><span><span><span><span><span><em> classification using the Mahalanobis distance,</em> Atmospheric Environment, Volume 140, September, pgs 213 -233, 2016. <a href="http://dx.doi.org/10.1016/j.atmosenv.2016.06.002">http://dx.doi.org/10.1016/j.atmosenv.2016.06.002</a>and also at</span></span></span></span></span></span></span></span></span></span><span><span><span><span><span><span><span><span><span><span> <a href="https://ars.els-cdn.com/content/image/1-s2.0-S1352231016304265-mmc1.pdf">https://ars.els-cdn.com/content/image/1-s2.0-S1352231016304265-mmc1.pdf</a></span></span></span></span></span></span></span></span></span></span></p> <p><span><span><span><span><span><span><span><span><span><span>[4] Hamill, Patrick, Piedra, Patricio G., Giordano, Marco, E., 2020: <em>Simulated Polarization as a Signature of Aerosol Type</em>. Atmospheric Environment, Volume 224, 117348 article ATMENVD- 19-01763, 2020. </span></span></span></span></span></span></span></span></span></span><a href="https://doi.org/10.1016/j.atmosenv.2020.117348" title="Persistent link using digital object identifier">https://doi.org/10.1016/j.atmosenv.2020.117348</a></p> <p><span><span><span><span><span><span><span><span><span><span> </span></span></span></span></span></span></span></span></span></span></p>
Millstätter See seismic and core data for the publication "High-resolution calibration of seismically-induced lacustrine deposits with historical earthquake data in the Eastern Alps (Carinthia, Austria)"
<p>This dataset comprises the core data and the 3.5 kHz seismic data of Millstätter See, a lake in the Eastern European Alps, Austria. Together with a bathymetric dataset (10.5281/zenodo.5875923) and a core/seismic dataset from Wörthersee (10.5281/zenodo.5875576), this is the basis for the publication Daxer et al. "High-resolution calibration of seismically-induced lacustrine deposits with historical earthquake data in the Eastern Alps (Carinthia, Austria)".</p> <p>28 core sections (individual short cores or sections of long cores - see <em>MillstaetterSee_core_data.xlsx</em> for information) were analysed with a multi-sensor core logger (MSCL) and photographed with a smartcube camera image scanner and an ITRAX core scanner. The generated data are available in the folders <em>MSCL.zip</em> and <em>Photos.zip</em>. Some core sections were also analysed with a Malvern Mastersizer 3000 and/or CT scanning. The generated data are provided in the folders <em>Grain Size.zip </em>and<em> CT data MI17-04.zip </em>(as .dcm files).</p> <p>The seismic profiles are provided as .SGY files (<em>Seismic Pinger Data.zip</em>).</p>
Woerthersee seismic and core data for the publication "High-resolution calibration of seismically-induced lacustrine deposits with historical earthquake data in the Eastern Alps (Carinthia, Austria)"
<p>This dataset comprises the core data and the 3.5 kHz seismic data of Wörthersee, a lake in the Eastern European Alps, Austria. Together with a dataset from Millstättersee (core and seismic data: 10.5281/zenodo.5875911; bathymetric data: 10.5281/zenodo.5875923), this is the basis for the publication Daxer et al. "High-resolution calibration of seismically-induced lacustrine deposits with historical earthquake data in the Eastern Alps (Carinthia, Austria)".</p> <p>24 short cores were analysed with a multi-sensor core logger (MSCL) and photographed with a smartcube camera image scanner and an ITRAX core scanner. The generated data are available in the folders <em>MSCL.zip</em> and <em>Photos.zip</em>. Some core sections were also analysed with a Malvern Mastersizer 3000. The generated grain-size data are provided in the folder <em>Grain Size.zip</em>.</p> <p>The seismic profiles are provided as .SGY files (<em>Seismic Pinger Data.zip</em>).</p>
Statistically Determined Global Fire Regimes (GFRs) Empirically Characterized Using Historical MODIS Hotspots
<p><strong>Statistically Determined Global Fire Regimes (GFRs) Empirically Characterized Using Historical MODIS Hotspots</strong></p> <p>Fire regimes are areas having similar fire characteristics, and show the spatial pattern, frequency and intensity of fires that prevail in that area over long periods of time. Fire regimes are created and maintained by multivariate interactions between climate, vegetation/fuels, and ignitions. Like ecoregions, fire regimes indicate the extent and overlap of particular vegetative/fuel communities and climatic conditions, and are important for understanding, monitoring, predicting and managing fire.</p> <p>More than 83M MODIS “hotspot” thermal detections from 2002-2019 were grouped into 10km cells, and 21 derived variables describing fire characteristics of fire intensity, return frequency, and seasonality within each cell were developed and subjected to unsupervised Multivariate Geographic Clustering to produce world maps of Global Fire Regimes (GFRs), each having similar fire intensity and timing characteristics.</p> <p>Methodology behind these datasets are described in manuscript currently in review.</p> <p><strong>W. W. Hargrove, Jitendra Kumar, Steven P. Norman, Forrest M. Hoffman (2022), "Empirical Characterization of Global Fire Regimes Show Shared Fire Relationships" 2022 (in review)</strong></p> <p>This data collection includes:</p> <p>1. Multivariate Geographic Clustering Global Fire Regimes at 3000, 1000, 500, 100, 50, 20, 10 levels of divisions in form of geospatial raster in IMG formats, and associated color tables.</p> <p>2. Characteristics of GFRs</p> <p>3. Location groups</p> <p>4. Geospatial maps of global fire frequency modes, global seasonality strength, and 12 types of global fires.</p> <p>5. PNG maps for all data products </p> <p>6. Description and script for global date transform algorithm.</p>
FIG. 1. — Micropora mikesmithi n in Cretaceous microporid cheilostome bryozoans from the Campanian historical stratotype of southwest France
FIG. 1. — Micropora mikesmithi n. sp.: A-C, paratype, NHMUK PI BZ 8363, Aubeterre Fm, rock face behind car-park, Aubeterre-sur-Dronne, Charente: A, part of the colony; B, group of autozooids with avicularia distal of the orifices; C, autozooid at the growing edge; D-E, holotype, NHMUK PI BZ 8809, Aubeterre Fm, Archiac, Charente-Maritime: D, part of the colony; E, three ovicellate autozooids lacking an associated avicularium, and one infertile autozooid (left) with an avicularium; F, paratype, NHMUK PI BZ 8655, Aubeterre Fm, roadcutting at junction of D5 and C18, east of Saint-Privat-des-Prés, Dordogne, orifice and avicularium. Scale bars: A, D, 500 μm; B, E, 200 μm; C, F, 100 μm.
FIG. 3 in Cretaceous microporid cheilostome bryozoans from the Campanian historical stratotype of southwest France
FIG. 3. — Dimorphomicropora voigti Ducasse & Vigneaux, 1960: A, lectotype, UB C.B.993 (Ducasse & Vigneaux 1960: fig. 1), probably Aubeterre Fm, Meschers, Charente-Maritime, branch with large polymorphic zooid near base; B, E, F, NHMUK PI BZ 8767, Aubeterre Fm, Pointe de Suzac, Meschers; B, branch; E, autozooids near base of branch; F, detail of an orifice; C, G, NHMUK PI BZ 8768, Aubeterre Fm, Pointe de Suzac, Meschers; C, branch with a large polymorphic zooid near the centre; G, detail of polymorph; D, paralectotype, UB C.B.994 (Ducasse & Vigneaux 1960: fig. 2), probably Aubeterre Fm, Meschers, Charente-Maritime; H, NHMUK PI BZ 8769, Aubeterre Fm, Pointe de Suzac, Meschers, Charente-Maritime, dilated branch with a cluster of ovicellate zooids. Scale bars: A, B, C, D, H, 500 μm; E, 200 μm; F, G, 100 μm.
FIG. 4 in Cretaceous microporid cheilostome bryozoans from the Campanian historical stratotype of southwest France
FIG. 4. — Dimorphomicropora crestulata (Ducasse, 1958): A, holotype (Ducasse 1958: pl. 7, fig. 3), UB C.B.917 Ducasse Collection, probably Barbezieux Fm (foram biozone CVI), RN 730, close to police station, Mirambeau, Charente-Maritime, dilated branch with ovicellate zooids; B, C, NHMUK PI BZ 8271, Aubeterre Fm, cliff north of town, Meschers, Charente-Maritime; B, well-preserved branch; C, detail of autozooids; D, NHMUK PI BZ 8272, Aubeterre Fm, cliff north of town, Meschers, branch. Scale bars: A, 500 μm; B, C, D, 200 μm.
FIG. 2. — Platelinella solea n. gen. et n in Cretaceous microporid cheilostome bryozoans from the Campanian historical stratotype of southwest France
FIG. 2. — Platelinella solea n. gen. et n. sp.: A-E, holotype, NHMUK PI BZ 8564, Biron Fm, Caillaud (north side), Talmont, Charente-Maritime: A, part of the colony; B, group of zooids; C, zooid with narrow distal opercular shelf; D, group of zooids, one with a slightly enlarged orifice (upper centre); E, broken zooid revealing two distal and two distolateral septular pores; F, paratype, NHMUK PI BZ 8848, Biron Fm, Caillaud (south side), Talmont, Charente-Maritime, group of zooids. Scale bars: A, 1 mm; B, D, F, 500 μm; C, E 100 μm.
Historic machines from 'prams' to 'Parliament': new avenues for collaborative linguistic research
<p>Recording of presentation of long paper, DH Benelux 2022: RE-MIX. Creation and alteration in DH (Hybrid), 1-3 June 2022.</p> <p>Research in computational linguistics has made successful attempts at modelling word meaning at scale, but much remains to be done to put these computational models to the test of historical scholarship. More importantly, a lot of computational research looks at texts in a historical vacuum, 'synchronically', as linguists would say. <em>Living with Machines</em> is an interdisciplinary research project that rethinks the impact of technology on the lives of ordinary people during the Industrial Revolution. During this project, we decided to address a fundamental question: what did people mean by ‘machine’ and how has this meaning changed over time?</p> <p>This paper outlines how a simple research question like 'what was a machine?' can provide an opportunity to engage the public with our work while also generating data for analysis and new avenues of research in a radically collaborative way.</p>
Historic data of the national electricity system transitions in Europe in 1990–2019 for retrospective evaluation of models [dataset]
<p>This data package supports empirical analysis of national electricity system transitions and retrospective evaluation of electricity system models in 1990–2019 in 31 European countries, including the EU27, Switzerland, Iceland, Norway, and the United Kingdom. The data package covers two types of content. Firstly, we provide an annotated list of 528 original data sources and references relevant for retrospective electricity system modeling with emphasis on open-access sources. Secondly, we provide a total of 1359 processed and harmonized data files in a format that is suitable as inputs to electricity system models. Four types of data files are included for each country: (i) a country file documenting national demand and economic data, (ii) technology files describing techno-economic data for each major generation technology in the country's electricity mix, (iii) resource files describing fuel prices and CO2 emissions for each fuel, and (iv) load profiles describing 24-hour national load curves for each available year. We provide these data files as comma-separated files to enable their wider reuse for retrospective evaluation of models as well as for empirical analyses of the European electricity system transitions. </p>
Historical and future climate change fosters expansion of Australian harvester termites, Drepanotermes
<p>Past evolutionary adaptations to Australia's aridification can help us to understand potential responses of species in the face of global climate change. Here, we focus on the Australian-endemic termite genus <em>Drepanotermes</em>, which is widespread in semi-arid and arid regions of Australia. We used species delineation, phylogenetic inference, and ancestral state reconstruction to investigate the evolution of mound-building and in relation to reconstructed past climatic conditions. Our results suggest that mound-building evolved several times independently, apparently facilitating expansion into tropical and mesic regions of Australia. Strong phylogenetic signal of bioclimatic variables, especially of limiting environmental factors (e.g. precipitation of warmest quarter), indicates that climate exerts a strong selective pressure. Finally, we used environmental niche modeling to predict present and future habitat suitability for eight <em>Drepanotermes</em> species. Abiotic factors such as annual temperature contributed disproportionately to calibrations, while the inclusion of biotic factors like vegetation cover improved ecological niche models in some species. A comparison between present and future habitat suitability under two different emission scenarios revealed continued suitability of current ranges as well as substantial habitat gains for most studied species, irrespective of nesting habit, yet extensive range expansions in the near future are likely precluded by low dispersal abilities.</p>
3D models (4) of historic buildings Marine Etablissement Amsterdam
<p>These are some rough 3D models of buildings that used to stand at the Marinewerfkade (now around Oosterdok). These historic buildings used to be part of the Marine Etablissement Amsterdam but were demolished in the 1960s for the construction of the IJtunnel. The 3D models were made in Blender and based on historic maps and images from the Amsterdam City Archives, which are referenced in the CSV.</p> <p>The models include (Screenshot_Front from right to left) the MarinePalace (Marine sleeping barrack called the Marine Palace, Dutch: 'Marinepaleis' or 'Officierspaleis', which existed roughly between 1882 and juli 1968); the MarineBetween (small factory building in between MarinePalace and MarineExercise, which existed roughly between 1942 and 1965); the MarineExercise (Exercise Barrack, Dutch: 'Exercitieloods', which existed roughly between 1909 and 1965); and the MarineSchool (School for the marine, Dutch: 'Marinemonteursschool' or 'Opleidingsschool', which existed roughly between 1909 and 1965).</p> <p>The 3D models were used in a thematic standalone version of https://3d.amsterdam.nl/ during an exhibition in the Architecture Centre of Amsterdam (Arcam). </p>
Data from: Historic deforestation and non-native plant invasions determine vegetation trajectories across an oceanic archipelago
<p>This archive contains data produced in a study of the vegetation trajectories of Ogasawara Islands in 77 years related to following article:</p> <p>Ohashi, H., Kato, H., Murao, M., Kato, H., Kawakami, K., Kurokawa, H., Oguro, M., Kimura, F., Niiyama, K., Matsui, T., and Shibata, M. (2024) Historic deforestation and non-native plant invasions determine vegetation trajectories across an oceanic archipelago. <em>Applied Vegetation Science</em>, 27 (1), e12767. <a href="https://doi.org/10.1111/avsc.12767">https://doi.org/10.1111/avsc.12767</a></p> <p> </p> <p><strong>Archive contents</strong><br>The archive contents are organized into five parts, each stored as a .zip compressed file.</p> <p><strong>X1_tif_original_vegmap_scan_georeference</strong></p> <p>Scanned and georeferenced original vegetation maps in GeoTiff format, which was drawn in 1935, scanned at 300 dpi. Coordinate reference system was set at WGS84 (ESPG: 4326).</p> <p>This directory includes:</p> <p><em>kitanoshima_isl_WGS84.tif<br>mukojima_isl_WGS84.tif<br>yomejima_isl_WGS84.tif<br>ototojima_isl_WGS84.tif<br>anijima_isl_WGS84.tif<br>nishijima_isl_WGS84.tif<br>chichijima_isl_WGS84.tif<br>hahajima_isl_WGS84.tif<br>mukohjima_isl_WGS84.tif<br>kitaiwoto_isl_WGS84.tif<br>iwoto_isl_WGS84.tif</em></p> <p> </p> <p><strong>X2_shp_vegmap</strong></p> <p>Shapefile of the geospatial polygon data of vegetation map of Ogasawara Islands surveyed in 1935, and stored as a .zip compressed file. Coordinate reference system was set at WGS84 (ESPG: 4326).</p> <p>This directory includes:</p> <p><em>VegetationMap_OgasaawraIsl_1935_en_UTF8_v0.dbf<br>VegetationMap_OgasaawraIsl_1935_en_UTF8_v0.prj<br>VegetationMap_OgasaawraIsl_1935_en_UTF8_v0.shp<br>VegetationMap_OgasaawraIsl_1935_en_UTF8_v0.shx<br>attribute_ForSect_code_en.csv<br>attribute_Veg_name_en.csv<br>metadata_vegmap_shp_ogasawara1935_en.csv</em></p> <p>Following files includes Japanese character (which may corrupt in non-Japanese environment):</p> <p><em>attribute_ForSect_jp.csv<br>attribute_Veg_name_jp.csv<br>metadata_vegmap_shp_ogasawara1935_jp.csv</em></p> <p> </p> <p><strong>X3_tif_vegmap_converted_from_shp</strong></p> <p>Rasterized data of polygon data of vegetation map for analysis. Coordinate reference system was set at JGD2000 / Japan Plane Rectangular CS XIV (EPSG: 2456)</p> <p>This directory includes:</p> <p><em>vegmap_1935.zip (compressed “vegmap_1935.tif (0.7GB)”)<br>vegnap_1979.zip (compressed “vegmap_1979.tif (1.5GB)”)<br>vegmap_2011.zip (compressed “vegmap_2011.tif (1.5GB)”)<br>islcode_raster.zip (compressed “vegmap_2011.tif (1.5GB)”)<br>attribute_integratedveg_ecoltype.csv<br>attribute_vegid_1935.csv<br>attribute_vegid_1979.csv<br>attribute_vegid_2011.csv</em></p> <p> </p> <p><strong>X4_scanned_image_vegdata</strong></p> <p>Scanned images of original vegetation data in 1935.</p> <p>The directory includes:<br><em>vegetation_survey_sheet_1.pdf<br>vegetation_survey_sheet_2.pdf</em><br><em>vegetation_survey_sheet_3.pdf</em></p> <p> </p> <p><strong>X5_digitized_vegdata</strong></p> <p>Digitized vegetation data.</p> <p>The directory includes:<br><em>plot_species_abundance_matrix_v0.csv<br>plotinfo_v0.csv<br>attribute_Species_en_v0.csv</em></p> <p>Following file includes Japanese character (which may corrupt in non-Japanese environment)<br><em>attribute_Species_jp_v0.csv</em><br> </p> <p><strong>X6_code_for_analysis</strong></p> <p>Tentative.</p> <p> </p> <p>このアーカイブには、小笠原諸島の77年間の植生の変遷(1935年、1979年、2012年)に関するデータが含まれています。</p> <p> </p>
Historical Mine Register & Place Gazetteer: Schwaz / Rottenburg / Rattenberg, Tyrol; 17th Century
<p>The data of the historical registers is based on the historical document “Bergbeschau Schwaz/Rottenburg/Rattenberg” of the 17<sup>th</sup> century (approx. 1666). The document is currently stored by the Salinenarchiv Bad Ischl) using the Identifier XXD6.The document contains 6 coloured maps of the mining areas in the mining district of Schwaz (Falkenstein, Ringenwechsel, Mehren/Merach, Reichental, Palleiten) as well as the mining district of Rattenberg (Groß-, Kleinkogel, Geyer). Furthermore, it contains detailed mine descriptions and localisations of the mines in the maps.</p> <p>Historical Mine Register: Sorting is done by mining area, main pit / mine and associated mine sections. The historical writings of the mines and mine sections are summarized in separate columns (alternate writing). Mines written in capital letters symbolize latin characters within the historical document. All mines received an Identifier and URIs which lead to a Knowledge Graph (graph_Link). In a separate column the mines also received a standard spelling (mine_name_standard). The mentioned mines were compared to two geological maps created by Herwig Pirkl (1961). Mines that could be also be georeferenced by comparison also received a geo_link to OpenStreetMap as well as HIK (‘Historische Kartenwerke Tirol’). Finally, the historical mines of the “Bergbeschau” are also linked to the Knowledge Graph TMMMT (DOI: 10.5281/zenodo.6276586) of the UIBK Project „Text Mining Medieval Mining Texts“, whenever possible.</p> <p>The historical place gazetteer is in alphabetical order by place_standard. The historical writings of the place names are summarized in a separate column (alternate writing). Places written in capital letters symbolize latin characters within the historical document. All places received an Identifier and URIs which lead to a Knowledge Graph (graph_Link). In a separate column the places received their current standard spelling (place_standard). Places that could be also be georeferenced also received coordinates as well as a geo_link to OpenStreetMap. Finally, the historical places of the “Bergbeschau” are also linked to the Knowledge Graph TMMMT (DOI: 10.5281/zenodo.6276586) of the UIBK Project „Text Mining Medieval Mining Texts“, whenever possible.</p>
Historical specimens and the limits of subspecies phylogenomics in the New World quails (Odontophoridae)
<p>As phylogenomics focuses on comprehensive taxon sampling at the species and population/subspecies levels, incorporating genomic data from historical specimens has become increasingly common. While historical samples can fill critical gaps in our understanding of the evolutionary history of diverse groups, they also introduce additional sources of phylogenomic uncertainty, making it difficult to discern novel evolutionary relationships from artifacts caused by sample quality issues. These problems highlight the need for improved strategies to disentangle artifactual patterns from true biological signal as historical specimens become more prevalent in phylogenomic datasets. Here, we tested the limits of historical specimen-driven phylogenomics to resolve subspecies-level relationships within a highly polytypic family, the New World quails (Odontophoridae), using thousands of ultraconserved elements (UCEs). We found that relationships at and above the species level were well-resolved and highly supported across all analyses, with the exception of discordant relationships within the two most polytypic genera which included many historical specimens. We examined the causes of discordance and found that inferring phylogenies from subsets of taxa resolved the disagreements, suggesting that analyzing subclades can help remove artifactual causes of discordance in datasets that include historical samples. At the subspecies-level, we found well-resolved geographic structure within the two most polytypic genera, including the most polytypic species in this family, Northern Bobwhites (<em>Colinus virginianus</em>), demonstrating that variable sites within UCEs are capable of resolving phylogenetic structure below the species level. Our results highlight the importance of complete taxonomic sampling for resolving relationships among polytypic species, often through the inclusion of historical specimens, and we propose an integrative strategy for understanding and addressing the uncertainty that historical samples sometimes introduce to phylogenetic analyses.</p>
Data repository for "3D coseismic surface displacements from historical aerial photographs of the 1987 Edgecumbe earthquake, New Zealand"
<p>This data repository includes supplementary files used in the accompanying manuscript: </p> <p>Delano, J. E, Howell, A., Stahl, T. A., Clark, K. (<em>submitted 2022</em>). 3D coseismic surface displacements from historical aerial photographs of the 1987 Edgecumbe earthquake, New Zealand. Journal of Geophysical Research: Solid Earth.</p> <p>Contents:</p> <ol> <li>Supplementary Text S1, containing additional methods and discussion</li> <li>Supplementary Figures S1-S9</li> <li>Supplementary Tables S1-S6 </li> <li>Raster files (TIFF) of SfM results and differenced DSM</li> <li>Raster files of orthophoto mosaics (pre- and post-earthquake)</li> <li>Shapefiles containing fault trace mapping and displacement locations</li> </ol> <p>See README for individual file descriptions.</p>
Data for "Impact of Gaussian transformation on cloud cover data assimilation for historical weather reconstruction"
<p>This dataset contains the simulation results in "Impact of Gaussian transformation on cloud cover data assimilation for historical weather reconstruction".</p>
Historical Arabidopsis thaliana genomes from Germany
<p>We report short-read Illumina sequencing of 35 <em>Arabidopsis thaliana</em> herbarium specimens collected in Southern Germany from 1817 to 1957. The historical genomes were sequenced to an average depth of ~7X. The herbarium-derived sequences showed patterns of degradation typical of ancient DNA with average read lengths of 78 bp, endogenous DNA content between 26%-93% (mean 72%; median 74%) and enrichment of cytosine to thymine substitutions at the read’s termini. We provide the sequences to the public with open access.</p>
CESM2 MDM data for "Historical changes in wind driven ocean circulation can accelerate global warming" - submitted to GRL
<p>CESM2 Experiment names:</p> <ul> <li>MD = mechanically decoupled model (referred to as MDM in paper), CESM2</li> <li>FC = fully coupled model (referred to as FCM in paper), CESM2</li> </ul> <p>Decoding file names:</p> <p>Variables that are a single value per time step (e.g. global means and globally integrated values) are given in dimensions of time by ensemble member. Variables that include values at every grid point at each point in time are provided with an ensemble mean trend and an ensemble standard deviation of the trend. </p> <ul> <li>ensmean refers to ensemble mean</li> <li>ensstd refers to ensemble standard deviation</li> <li>trend refers to linear trend over 1979-2014</li> <li>annual refers to annual mean anomalies, relative to reference period of 1941-1970</li> </ul> <p>Variables:</p> <ul> <li>aice = ice area</li> <li>AMOC = Atlantic meridional overturning circulation</li> <li>N_HEAT = northward heat transport </li> <li>BSF = barotropic streamfunction </li> <li>TREFHT = reference level air temperature </li> <li>Qnet = net surface heat flux (defined as FSNS - FLNS - LHFLX - SHFLX)</li> <li>TOA = top of atmosphere radiation </li> <li>TOAC = top of atmosphere radiation, clearsky </li> <li>FLNT = net longwave flux at top of model</li> <li>FLNTC = net longwave flux at top of model, clearsky</li> <li>FSUTOA = upwelling solar flux at top of atmosphere</li> <li>FSNTOA = net solar flux at top of atmosphere</li> <li>FSNTOAC = net solar flux at top of atmosphere, clearsky</li> </ul> <p> </p> <p> </p> <p> </p>
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.