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558 results for “Austria”
Spatio-temporal water surplus and evapotranspiration in the catchment area of the Vögelsberg landslide (Tyrol, Austria)
<p>Multi-temporal maps of daily water surplus and evapotranspiration in the catchment area of the Vögelsberg landslide (Tyrol, Austria) based on the SVAT model LWF-Brook90 from 01/01/2008 to 31/12/2019. The spatio-temporal results represent the hydrological forcing of acceleration phases of the deep-seated landslide (see also Pfeiffer et al. 2021, <a href="https://doi.org/10.1002/esp.5129">https://doi.org/10.1002/esp.5129</a>). To investigate the feasibility of a modified land cover as nature-based solutions to reduce the landslide's activity, three land cover scenarios were considered (under current climatic conditions):</p> <p>- Current land cover conditions classified based on air-borne laser scanning data</p> <p>- Forest scenario: catchment area completely covered by forests (hypothetical scenario)</p> <p>- Pole timber scenario: open land above agricultural areas is replaced by areas of pole timber (considered realistic)</p> <p>Three land cover classes (open land, pole timber, mature forest), 11 soil types and 5 vertical meteorological domains were distinguished. Maps were produced with a spatial resolution of 10m (Projection: Austria GK West, EPSG: 31254). The maps are provided as raster stacks in tif-format with each layer representing one day.</p> <p>For further details see OPERANDUM deliverables D4.5 and D4.6.</p>
Multi-temporal digital terrain models of the active deep-seated Vögelsberg landslide (OAL-Austria)
<p>Multi-temporal digital terrain models of the active deep-seated Vögelsberg landslide in OAL Austria (Lat: 47.272°, Lon: 11.597°) with a spatial resolution of 50cm. Raster were derived from classified 3D point clouds acquired with a Riegl VUX-1LR unmanned aerial vehicle laser scanner on August 3<sup>rd</sup> 2018, August 14<sup>th</sup> 2019 and November 6<sup>th</sup> 2020 (Projection: EPSG 31254). Ground classification after Axelsson (2000). Data was used to assess topographic changes at the toe of the active deep-seated Vögelsberg landslide in OAL-Austria.</p>
[Dataset] One year of high-precision operational data including measurement uncertainties from a large-scale solar thermal collector array with flat plate collectors, located in Graz, Austria
<p><strong>Highlights:</strong></p> <ul> <li>High-precision measurement data acquired within a scientific research project, using high-quality measurement equipment and implementing extensive data quality assurance measures.</li> <li>The dataset includes data from one full operational year in a 1-minute sampling rate, covering all seasons.</li> <li>Measured data channels include global, beam and diffuse irradiances in horizontal and collector plane. Heat transfer fluid properties were determined in a dedicated laboratory test.</li> <li>In addition to the measured data channels, calculated data channels, such as thermal power output, mass flow, fluid properties, solar incidence angle and shadowing masks are provided to facilitate further analysis.</li> <li>Uncertainties of data channels are provided based on data sheet specifications and GUM error propagation.</li> <li>The dataset refers to a real-scale application which is representative of typical large-scale solar thermal plant designs (flat plate collectors, common hydraulic layout).</li> <li>Additional information is provided in a "Data in Brief" journal article: <a href="https://doi.org/10.1016/j.dib.2023.109224">https://doi.org/10.1016/j.dib.2023.109224</a></li> </ul> <p> </p> <p><strong>Collector array description: </strong>The data is from a flat plate collector array with a total gross collector area of 516 m<sup>2</sup> (361 kW nominal thermal power). The array consists of four parallel collector rows with a common inlet and outlet manifold. Large-area flat-plate collectors from Arcon-Sunmark A/S are used in the plant. Collectors are all oriented towards the south (180°), have a tilt angle of 30° and a row spacing of 3.1 m. The collector array is part of a large-scale solar thermal plant located at Fernheizwerk Graz, Austria (latitude: 47.047294 N, longitude: 15.436366 E). The plant feeds into the local district heating network and is one of the largest Solar District Heating installations in Central Europe.</p> <p> </p> <p><strong>Data files:</strong></p> <ul> <li><strong>FHW_ArcS__main__2017.csv</strong> – This is the main dataset. It is advised to use this file for further analysis. The file contains the full time series of all measured and all calculated data channels and their (propagated) measurement uncertainty (53 data channels in total). Calculated data channels are derived from measured channels (see script make_data.py below) and have the suffix __calc in their channel names. Uncertainty information is given in terms of standard deviation of a normal distribution (suffix __std); some data channels are assumed to have no uncertainty (e.g., sun azimuth or shadowing).</li> <li><strong>FHW_ArcS__main__2017.parquet</strong> – Same as FHW_ArcS__main__2017.csv, but in parquet file format for smaller file size and improved performance when loading the dataset in software.</li> <li><strong>FHW_ArcS__parameters.json</strong> – Contains various metadata about the dataset, in both human and machine-readable format. Includes plant parameters, data channel descriptions, physical units, etc.</li> <li><strong>FHW_ArcS__raw__2017.csv </strong>– Dataset with time series of all measured data channels and their measurement uncertainty. The main dataset FHW_ArcS__main__2017.csv, which includes all calculated data channels, is a superset of this file.</li> </ul> <p> </p> <p><strong>Scripts: </strong></p> <ul> <li><strong>make_data.py</strong> – This Python script exposes the calculation process of the calculated data channels (suffix __calc), including error propagation. The main calculations are defined as functions in the module utils_data.py.</li> <li><strong>make_plots.py</strong> – This Python script, together with utils_plots.py, generates several figures based on the main dataset.</li> </ul> <p> </p> <p><strong>Data collection and preparation</strong>: AEE — Institute for Sustainable Technologies (AEE INTEC), Feldgasse 19, 8200 Gleisdorf, Austria; and SOLID Solar Energy Systems GmbH (SOLID), Am Pfangberg 117, 8045 Graz, Austria</p> <p> </p> <p><strong>Data owner</strong>: solar.nahwaerme.at Energiecontracting GmbH, Puchstrasse 85, 8020 Graz, Austria</p> <p> </p> <p><strong>Additional information</strong> is provided in a journal article in "Data in Brief", titled <a href="https://doi.org/10.1016/j.dib.2023.109224">"One year of high-precision operational data including measurement uncertainties from a large-scale solar thermal collector array with flat plate collectors in Graz, Austria"</a>.</p> <p> </p> <p><strong>Note: </strong>A Gitlab repository is associated with this dataset, intended as a companion to facilitate maintenance of the Python code that is provided along with the data. If you want to use or contribute to the code, please do so using the Gitlab project: <a href="https://gitlab.com/sunpeek/zenodo-fhw-arconsouth-dataset-2017">https://gitlab.com/sunpeek/zenodo-fhw-arconsouth-dataset-2017</a></p> <p> </p>
AT10 - Primary school - Bad Vöslau (Austria)
<p>Data files for building: AT10 - Primary school - Bad Vöslau (Austria)</p><p>Languages: German, English</p><p>These files are part of the public benchmark repository created as a part of the crossCert EU project. </p><p>This repository contains curated building data, certificate results and, where available, measured performance results. The repository is publicly available so that it can be used as a testbench for new Energy Performance Certificate (EPC) procedures.</p><p>The files are organised in the following folders (note that not all files are always provided):</p><ol><li>Main data and Results, with:<ol><li>Neutral data inventory.</li><li>Neutral results report.</li><li>Original EPC certificate.</li></ol></li><li>Energy Consumption Data, with:<ol><li>Files, where available, with energy consumption data for the building, which can be used for validation of models and EPC results.</li></ol></li><li>Drawings<ol><li>Building drawings which can be used as an aid for generating the EPC, or for creating dynamic energy consumption models.</li></ol></li><li>Other Data<ol><li>Any other data that can be useful for the purposes of creating or validating an EPC or an energy consumption dynamic model for the building.</li></ol></li><li>Dynamic Model<ol><li>Data to run a dynamic model of the building, if available.</li></ol></li></ol><p>The files have been redacted to exclude confidential information. </p>
AT04 - Multi-apartment building - Brunn am Gebirge (Austria)
<p>Data files for building: AT04 - Multi-apartment building - Brunn am Gebirge (Austria)</p><p>Languages: German, English</p><p>These files are part of the public benchmark repository created as a part of the crossCert EU project. </p><p>This repository contains curated building data, certificate results and, where available, measured performance results. The repository is publicly available so that it can be used as a testbench for new Energy Performance Certificate (EPC) procedures.</p><p>The files are organised in the following folders (note that not all files are always provided):</p><ol><li>Main data and Results, with:<ol><li>Neutral data inventory.</li><li>Neutral results report.</li><li>Original EPC certificate.</li></ol></li><li>Energy Consumption Data, with:<ol><li>Files, where available, with energy consumption data for the building, which can be used for validation of models and EPC results.</li></ol></li><li>Drawings<ol><li>Building drawings which can be used as an aid for generating the EPC, or for creating dynamic energy consumption models.</li></ol></li><li>Other Data<ol><li>Any other data that can be useful for the purposes of creating or validating an EPC or an energy consumption dynamic model for the building.</li></ol></li><li>Dynamic Model<ol><li>Data to run a dynamic model of the building, if available.</li></ol></li></ol><p>The files have been redacted to exclude confidential information. </p>
AT05 - Multi-apartment building - Brunn am Gebirge (Austria)
<p>Data files for building: AT05 - Multi-apartment building - Brunn am Gebirge (Austria)</p><p>Languages: German, English</p><p>These files are part of the public benchmark repository created as a part of the crossCert EU project. </p><p>This repository contains curated building data, certificate results and, where available, measured performance results. The repository is publicly available so that it can be used as a testbench for new Energy Performance Certificate (EPC) procedures.</p><p>The files are organised in the following folders (note that not all files are always provided):</p><ol><li>Main data and Results, with:<ol><li>Neutral data inventory.</li><li>Neutral results report.</li><li>Original EPC certificate.</li></ol></li><li>Energy Consumption Data, with:<ol><li>Files, where available, with energy consumption data for the building, which can be used for validation of models and EPC results.</li></ol></li><li>Drawings<ol><li>Building drawings which can be used as an aid for generating the EPC, or for creating dynamic energy consumption models.</li></ol></li><li>Other Data<ol><li>Any other data that can be useful for the purposes of creating or validating an EPC or an energy consumption dynamic model for the building.</li></ol></li><li>Dynamic Model<ol><li>Data to run a dynamic model of the building, if available.</li></ol></li></ol><p>The files have been redacted to exclude confidential information. </p>
AT02 - Single family house - Schönkirchen (Austria)
<p>Data files for building: AT02 - Single family house - Schönkirchen (Austria)</p><p>Languages: German, English</p><p>These files are part of the public benchmark repository created as a part of the crossCert EU project. </p><p>This repository contains curated building data, certificate results and, where available, measured performance results. The repository is publicly available so that it can be used as a testbench for new Energy Performance Certificate (EPC) procedures.</p><p>The files are organised in the following folders (note that not all files are always provided):</p><ol><li>Main data and Results, with:<ol><li>Neutral data inventory.</li><li>Neutral results report.</li><li>Original EPC certificate.</li></ol></li><li>Energy Consumption Data, with:<ol><li>Files, where available, with energy consumption data for the building, which can be used for validation of models and EPC results.</li></ol></li><li>Drawings<ol><li>Building drawings which can be used as an aid for generating the EPC, or for creating dynamic energy consumption models.</li></ol></li><li>Other Data<ol><li>Any other data that can be useful for the purposes of creating or validating an EPC or an energy consumption dynamic model for the building.</li></ol></li><li>Dynamic Model<ol><li>Data to run a dynamic model of the building, if available.</li></ol></li></ol><p>The files have been redacted to exclude confidential information. </p>
(POST) Socio-economic and cultural dataset in relation to Persuasive Strategies to boost Energy Efficiency and in the UK, Spain, Greece and Austria
<p>The dataset has been created from obtaining post-pilot answers from 106 participants of four different countries in the EU (the questionnaire can be studied in <strong>GreenSoul_Validation_Questionnaire-POST.pdf</strong>). It is composed by several factors which are explained in<strong> POST-coding.ods </strong>file. All these factors are contained in: "<strong>POST-results-socio-economic-model.ods</strong>" and "<strong>POST-results-treatments-evaluation.ods</strong>" along with their answers by participants.</p> <p>Finally, we provided a cleaned version of the dataset to study how can a researcher is able to forecast the ranking that a user will give to different persuasion strategies according to user profiles: "<strong>POST-results-ranking-model.ods</strong>"</p>
Fig. 1 in Malacological mapping in Austria distribution of the Austrian spring snail Bythinella austriaca (v. F , 1857) in the federal state of Salzburg
Fig. 1: Geographical map of the federal state of Salzburg including all sample points with registered occurrence of the Austrian spring snail B. austriaca. Open circles mark sample locations published in literature, whereas filled circles represent sample points of own field investigations.
Proportion of Open Access Papers Published in Peer-Reviewed Journals in Austria 2008-2013
<p>In 2014, Archambault et al. published a report which provided data about Open Access publishing for the years 2008-2013 for all countries of the European Research Area (ERA) as well as for Brazil, Canada, Japan and the USA. They differentiated not only by disciplines but also by three OA categories: Golden, Green and a residual category. For the dataset, the data for Austria and the whole area examined has been extracted and modified. The results show above-average rates for Austria in almost all disciplines.</p>
FIGURE 3 in A new iphiculid crab (Crustacea, Brachyura, Leucosioidea) from the Middle Miocene of Austria, with notes on palaeobiogeography of Iphiculus
FIGURE 3. Type material of Iphiculus eliasi sp. nov. A – D, holotype UMJGP 75.612 in dorsal (A), posterodorsal (B), frontal (C), and posterior view (D); E, paratype UMJGP 75.613 in dorsal view. Specimens were coated with ammonium chloride prior the photography. All specimens to scale.
FIGURE 4 in A new iphiculid crab (Crustacea, Brachyura, Leucosioidea) from the Middle Miocene of Austria, with notes on palaeobiogeography of Iphiculus
FIGURE 4. Additional material of Iphiculus eliasi sp. nov. A – C, UMJGP 21.1339 with partially degraded cuticular surfaces (B – C). Specimen in A was coated with ammonium chloride prior the photography.
Results from national testing programs on the occurrence of chemical contaminants in food and feed - Austria
<p>In the framework of Articles 23 and 33 of Regulation (EC) No 178/2002 EFSA has received from the European Commission a mandate (M-2010-0374) to collect all available data on the occurrence of chemical contaminants in food and feed. These data are used in EFSA’s scientific opinions and reports on contaminants in food and feed. </p> <p>The presence of unauthorised substances or chemical contaminants in food may pose a risk factor for public health and can cause a negative impact on the quality of food. </p> <p>Commission Recommendations and Regulations on occurrence monitoring are in place for several contaminants of interest, some of which can be found here below: </p> <ul> <li>Commission Regulation (EU) 625/2017, on the application of food and feed law</li> <li>Commission Delegated Regulation (EU) 2022/931</li> <li>Commission Implementing Regulation (EU) 2022/932</li> <li>Commission Regulation (EU) 2023/915, on maximum levels for certain contaminants in food and repealing Regulation (EC) No 1881/2006</li> </ul> <p>These datasets contain the results of sampling that was designed according to national testing programs for a variety of contaminants in food and feed, as reported under the Chemical Monitoring Data Collection 2024, 2023, 2022, 2021, and 2020, split by sampling year (data element ‘sampY’). </p> <p>More details are available in last year's finalised call for data ‘<span><a href="https://www.efsa.europa.eu/en/call/annual-call-continuous-collection-chemical-contaminants-occurrence-data-food-and-feed">Annual call for continuous collection of chemical contaminants occurrence data in food and feed | EFSA</a></span>’.</p> <p>REPORTING AUTHORITIES CONTRIBUTING TO EACH DATA COLLECTION: </p> <p>OCC-CHEMMON2020 – Austrian Agency for Health and Food Safety</p> <p>OCC-CHEMMON2021 – Austrian Agency for Health and Food Safety</p> <p>OCC-CHEMMON2022 – Austrian Agency for Health and Food Safety</p> <p>OCC-CHEMMON2023 – Austrian Agency for Health and Food Safety</p> <p>OCC-CHEMMON2024 – Austrian Agency for Health and Food Safety</p>
Abb. Ap1-Ap6:(Ap1) Parnassius phoebus (FABRICIUS, 1793). Populationstype 3♂♂ 3♀♀. Austria, Vorarlberg, Verwall, Zeinisjoch, 1820 m, div. Jahre, leg. Aistleitner. (Ap2) Parnassius phoebus styriacus ♂ FRUHSTORFER, 1851. Austria, Steirische Kalkalpen. (Ap3) Parnassius phoebus styriacus ♀ FRUHSTORFER, 1851. Austria, Steirische Kalkalpen. (Ap4) Rosenwurz (Rhodiola rosea). Larvalsubstrat von P. phoebus styriacus. (Ap5) Parnassius phoebus styriacus, Raupe, Austria, Stmk., Eisenerzer Alpen. (Ap6) Parnassius phoebus styriacus, Puppe, Austria, Stmk., Eisenerzer Alpen. Abb. Ap1 © Aistleitner,Abb.Ap2-Ap6 © Hatzenbichler. in Zur Chorologie und Faunistik der Tagfalter in den Ost- und Südalpen 1. Tagfalter (Papilionoidea) aus der Sammlung von Herbert Meier † sowie Daten aus den Sammlungen des Entomologischen Forschungsmuseums EFMEA in Feldkirch
Abb. Ap1-Ap6:(Ap1) Parnassius phoebus (FABRICIUS, 1793). Populationstype 3♂♂ 3♀♀. Austria, Vorarlberg, Verwall, Zeinisjoch, 1820 m, div. Jahre, leg. Aistleitner. (Ap2) Parnassius phoebus styriacus ♂ FRUHSTORFER, 1851. Austria, Steirische Kalkalpen. (Ap3) Parnassius phoebus styriacus ♀ FRUHSTORFER, 1851. Austria, Steirische Kalkalpen. (Ap4) Rosenwurz (Rhodiola rosea). Larvalsubstrat von P. phoebus styriacus. (Ap5) Parnassius phoebus styriacus, Raupe, Austria, Stmk., Eisenerzer Alpen. (Ap6) Parnassius phoebus styriacus, Puppe, Austria, Stmk., Eisenerzer Alpen. Abb. Ap1 © Aistleitner,Abb.Ap2-Ap6 © Hatzenbichler.
Fig. 1 in The aquatic malacofauna (Gastropoda et Bivalvia) in the Bluntau Valley in the Federal State of Salzburg (Austria)
Fig. 1: (a) View into the Bluntau Valley with its larger lake positioned in the center; (b) Geographic map exhibiting the main water bodies of the Bluntau Valley as well as the 20 sampling locations defined for this study.
Text-fig. 1. Situation of Early Miocene plant localities. a: Central Europe with Brno area and other fossil sites mentioned in text (1 – Znojmo and Přímětice, 2 – Oberdorf, 3 – Modrý Kameň Basin, 4 – Lipovany, 5 – Ipolytarnóc; CZ – the Czech Republic, PL – Poland, SK – Slovakia, H – Hungary, A – Austria, D – Germany). b: Brno area with Líšeň municipal district indicated. c: Líšeň municipal district with fossil sites indicated by asterisk. in A New Early Miocene (Ottnangian) Flora Of The "Rzehakia Beds" From Brno-Líšeň
Text-fig. 1. Situation of Early Miocene plant localities. a: Central Europe with Brno area and other fossil sites mentioned in text (1 – Znojmo and Přímětice, 2 – Oberdorf, 3 – Modrý Kameň Basin, 4 – Lipovany, 5 – Ipolytarnóc; CZ – the Czech Republic, PL – Poland, SK – Slovakia, H – Hungary, A – Austria, D – Germany). b: Brno area with Líšeň municipal district indicated. c: Líšeň municipal district with fossil sites indicated by asterisk.
Figs 1–8 in Three New Microthoracids (Ciliophora, Nassophorea) from Austria and Venezuela
Figs 1–8. Drepanomonas minuta (1–6) and Drepanomonas revoluta (7, 8) from life (1–3, 7, 8) and after protargol impregnation (4–6). 1, 2 – right and left side view of a representative specimen, length 20 µm, showing the flat cortex and the crenellations along the somatic kineties. This species has only 1 or 2 extrusomes and several non-ciliated basal bodies (arrowheads) in kineties 6 and 7; 3 – dorsal view showing the slightly convex right and left side; 4 – ventral view of a paratype specimen, showing the ventral ciliary pattern and the postoral complex. The anterior portion of kinety 2 is blended by the deeply impregnated macronucleus; 5, 6 – right and left side view of holotype specimen, length 20 µm. The kinetids of kinety 6 form widely spaced pairs; 7, 8 – Drepanomonas revoluta, right and left side view (from Foissner 1987). Note the deep furrow on the left side and the widely spaced kinetids of the postoral complex. E – extrusomes, K1–9 – somatic kineties, M – adoral membranelles, MA – macronucleus, MI – micronucleus, PC – postoral complex, PO(1–3) – preoral kineties, R – cortical ridges. Scale bars: 10 µm.
Figs 33–40 in Three New Microthoracids (Ciliophora, Nassophorea) from Austria and Venezuela
Figs 33–40. Drepanomonas multidentata from life (33–36) and after protargol impregnation (37–40). 33–36 – left side views of different specimens at four focal planes, showing the two conspicuous spines left and posterior of the oral opening, the left side ridges each forming an anterior spine, and the two anterior spines of the tridentate pattern; 37, 38 – right and left side view of holotype and of a paratype specimen, showing the ciliary and nuclear pattern. The posterior portion of kinety 9 is either absent or in line with kinety 2. The posterior cilium of kinety 6 appears slightly thickened in the basal portion (arrowhead); 39 – ventral view of a paratype specimen, showing the oblique preoral kineties and the postoral complex; 40 – ventral view of a late divider, showing that kineties 8 and 9 consist of two and three segments, respectively, of which the posterior segment of kinety 9 will possibly align with kinety 2 (see Fig. 37). The left segment of the postoral complex consists of four ciliated monokinetids. A – anterior body end, K1–9 – somatic kineties, LAS – left anterior spines, LVS – left ventro-lateral spines, M – adoral membranelles, MA – macronucleus, MI – micronucleus, NK – nasse kinetosomes, PC – postoral complex, PO(1–3) – preoral kineties, R – ridges, T – excretory tube, TP – spines of the tridentate pattern. Scale bars: 15 µm (Figs 33–36) and 10 µm (Figs 37–40).
Figs 9–15 in Three New Microthoracids (Ciliophora, Nassophorea) from Austria and Venezuela
Figs 9–15. Drepanomonas minuta after protargol (9–13) and Klein-Foissner silver nitrate impregnation (14, 15). 9, 10 – right and left side view of the holotype and a paratype specimen, showing the kinetid pattern and the nuclear apparatus; 11 – ventral view of a paratype specimen, showing the obliquely arranged preoral kineties and the postoral complex; 12, 13 – right and left side view of paratype specimens, showing the slenderly semi-ellipsoidal body and the characteristic posterior extrusome; 14, 15 – right and left side view, showing the kinetid pattern and the cytopyge. CY – cytopyge, E – extrusomes, K1–9 – somatic kineties, M – adoral membranelles, MA – macronucleus, MI – micronucleus, PC – postoral complex, PO(1–3) – preoral kineties. Scale bars: 10 µm.
Figs 16–24 in Three New Microthoracids (Ciliophora, Nassophorea) from Austria and Venezuela
Figs 16–24. Drepanomonas multidentata (16–21) and D. dentata (22–24) from life (16, 17, 22–24) and after protargol impregnation (18–21). 16, 17 – right and left side view of a representative specimen, length 45 µm, showing the crescentic body and the cortical ridges. The right side ridges form an obfalcate plate with a subapical spine and a shallow concavity in the posterior portion (asterisk); the two left side ridges, each with a spine anteriorly, produce a tridentate pattern posteriorly. Note the three highly characteristic ventro-lateral spines in the surrounding of the oral opening. 18, 19 – right and left side view of holotype specimen, length 35 µm, showing the kinetid pattern and the nuclear apparatus; 20 – ventral view of a paratype specimen, showing the obliquely arranged preoral kineties, the circumoral basal bodies, and the postoral complex. The posterior segment of somatic kinety 1 cannot be seen in this specimen because it is over the deeply impregnated macronucleus (outline dotted); 21 – in dividing specimens, three adoral membranelles are recognizable both in proter and opisthe. The arrowheads mark the ventro-lateral spines; 22–24 – D. dentata (22, 23, from Fresenius 1858; 24, from Kreutz 1998), showing the crescentic body, the tooth-like projection on the ventral side (triangle), the serrate dorsal (arrows) and ventral (arrowhead) margin, and the cortical ridges. A – anterior body end, K(1–9) – somatic kineties, LAS – left anterior spines, LVS – left ventro-lateral spines, M(1–3) – adoral membranelles, MA – macronucleus, MI – micronucleus, NK – nasse kinetosomes, P – posterior body end, PC – postoral complex, PO(1–3) – preoral kineties, R – ridges, RVS – right ventro-lateral spine, SAS – subapical spine, T – excretory tube of contractile vacuole, TP – spines of the tridentate pattern. Scale bars: 10 µm.
ScienceDex guides
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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.