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651 results for “netherlands”
FIGURE 2. NHG 27 001 in The whale barnacle Cryptolepas rhachianecti (Cirripedia: Coronulidae), a phoront of the grey whale Eschrichtius robustus (Cetacea: Eschrichtiidae), from a sandy beach in The Netherlands
FIGURE 2. NHG 27 001, Cryptolepas rhachianecti Dall, 1872, single left compartment (latus or carinolatus) collected from Recent beach deposits in Zoutelande (Walcheren, The Netherlands): a, alar view; b, external view; c, internal view; d, radial view; e, apical view. Scale bar: 5 mm. Scanning electron microscope (SEM) images by Julien Cillis, Koninklijk Belgisch Instituut voor Natuurwetenschappen, Brussels.
Netherlands Synthetic Ecosystem
Netherlands synthetic ecosystem dataset consisting of tables for persons and households. This dataset was created by the SPEW R Package using the following input data sources: GeoHive counts and IPUMS-I shapefiles and microdata.
GBIF data summaries: GBIF national node type records: Netherlands
GBIF—the Global Biodiversity Information Facility—is an international network and research infrastructure funded by the world__s governments and aimed at providing anyone, anywhere, open access to data about all types of life on Earth. <p></p>https://www.gbif.org
MH_WATERLAND - Western marsh harriers (Circus aeruginosus, Accipitridae) breeding near the Belgium-Netherlands border
<p><em>MH_WATERLAND - Western marsh harriers (Circus aeruginosus, Accipitridae) breeding near the Belgium-Netherlands border</em> is a bird tracking dataset published by the <a href="https://www.inbo.be/en">Research Institute for Nature and Forest (INBO)</a>. It contains animal tracking data collected by the LifeWatch GPS tracking network for large birds (<a href="http://lifewatch.be/en/gps-tracking-network-large-birds">http://lifewatch.be/en/gps-tracking-network-large-birds</a>) for the project/study <strong>MH_WATERLAND</strong>, using trackers developed by the University of Amsterdam Bird Tracking System (UvA-BiTS, <a href="http://www.uva-bits.nl">http://www.uva-bits.nl</a>). The study was operational from 2013 until 2018. In total 7 individuals of western marsh harrier (<em>Circus aeruginosus</em>) have been tagged in their breeding area near the Belgium-Netherlands border (provinces of East Flanders in Belgium and Zeeland in the Netherlands), mainly to study their habitat use and migration behaviour. Data are uploaded from the UvA-BiTS database to Movebank and from there archived on Zenodo (see <a href="https://github.com/inbo/bird-tracking">https://github.com/inbo/bird-tracking</a>). No new data are expected.</p> <p>See Milotic et al. (2020, <a href="https://doi.org/10.3897/zookeys.947.52570">https://doi.org/10.3897/zookeys.947.52570</a>) for a more detailed description of this dataset.</p> <h2>Files</h2> <p>Data in this package are exported from Movebank study <a href="https://www.movebank.org/cms/webapp?gwt_fragment=page=studies,path=study604806671">604806671</a>. Fields in the data follow the <a href="http://vocab.nerc.ac.uk/collection/MVB">Movebank Attribute Dictionary</a> and are described in <code>datapackage.json</code>. Files are structured as a <a href="https://specs.frictionlessdata.io/data-package/">Frictionless Data Package</a>. You can access all data in R via <code>https://zenodo.org/records/10053583/files/datapackage.json</code> using <a href="https://frictionlessdata.github.io/frictionless-r/">frictionless</a>.</p> <ul> <li><strong>datapackage.json</strong>: technical description of the data files.</li> <li><strong>MH_WATERLAND-reference-data.csv</strong>: reference data about the animals, tags and deployments.</li> <li><strong>MH_WATERLAND-gps-yyyy.csv.gz</strong>: GPS data recorded by the tags, grouped by year.</li> </ul> <h2>Acknowledgements</h2> <p>This dataset was collected using infrastructure provided by INBO and funded by Research Foundation - Flanders (FWO) as part of the Belgian contribution to LifeWatch.</p>
O_BALGZAND - Eurasian oystercatchers (Haematopus ostralegus, Haematopodidae) wintering on Balgzand (the Netherlands)
<p><em>O_BALGZAND - Eurasian oystercatchers (Haematopus ostralegus, Haematopodidae) wintering on Balgzand (the Netherlands)</em> is a bird tracking dataset published by <a href="http://www.sovon.nl">Sovon</a>, the <a href="https://ibed.uva.nl">University of Amsterdam</a> and the <a href="https://www.inbo.be/en">Research Institute for Nature and Forest (INBO)</a>. It contains animal tracking data collected during <a href="https://chirpscholekster.nl">CHIRP</a> (Cumulative Human Impact on biRd Populations) for the study <strong>O_BALGZAND</strong> using trackers developed by the University of Amsterdam Bird Tracking System (UvA-BiTS, <a href="http://www.uva-bits.nl">http://www.uva-bits.nl</a>). The study was operational from 2010 to 2014. In total 22 individuals of Eurasian oystercatchers (<em>Haematopus ostralegus</em>) have been tagged while overwintering in the Balgzand area in the Western Wadden Sea (the Netherlands), mainly to study how they utilize intertidal flats in relation to food availability in winter. Data are uploaded from the UvA-BiTS database to Movebank and from there archived on Zenodo (see <a href="https://github.com/inbo/bird-tracking">https://github.com/inbo/bird-tracking</a>). No new data are expected.</p> <p>See van der Kolk et al. (2022, <a href="https://doi.org/10.3897/zookeys.1123.90623">https://doi.org/10.3897/zookeys.1123.90623</a>) for a more detailed description of this dataset.</p> <h2>Files</h2> <p>Data in this package are exported from Movebank study <a href="https://www.movebank.org/cms/webapp?gwt_fragment=page=studies,path=study1605798640">1605798640</a>. Fields in the data follow the <a href="http://vocab.nerc.ac.uk/collection/MVB">Movebank Attribute Dictionary</a> and are described in <code>datapackage.json</code>. Files are structured as a <a href="https://specs.frictionlessdata.io/data-package/">Frictionless Data Package</a>. You can access all data in R via <code>https://zenodo.org/records/10053932/files/datapackage.json</code> using <a href="https://frictionlessdata.github.io/frictionless-r/">frictionless</a>.</p> <ul> <li><strong>datapackage.json</strong>: technical description of the data files.</li> <li><strong>O_BALGZAND-reference-data.csv</strong>: reference data about the animals, tags and deployments.</li> <li><strong>O_BALGZAND-gps-yyyy.csv.gz</strong>: GPS data recorded by the tags, grouped by year.</li> <li><strong>O_BALGZAND-acceleration-yyyy.csv.gz</strong>: acceleration data recorded by the tags, grouped by year.</li> </ul> <h2>Acknowledgements</h2> <p>These data were collected by Sovon in collaboration with the University of Amsterdam (UvA). Funding was provided by the project Monitoring abundance, composition, development and spatial variation in macrozoobenthos and birds of the national programme for sea and coastal research (ZKO) of the Netherlands Organization for Scientific Research (NWO). Additional funding was provided by NAM and supported by the UvA-BiTS virtual lab on the Dutch national e-infrastructure, built with support of LifeWatch, the Netherlands eScience Center, SURFsara and SURFfoundation. The dataset was published with funding from Stichting NLBIF - Netherlands Biodiversity Information Facility.</p>
SPI3/6/12 for Netherlands based on E-OBS v28.0e
Open the record for dataset details and reuse information.
C3S ERA5 for Netherlands - daily data for air temperature (daily avg, min, max) 1950-2022
<p>Data downloaded for the target area [53.9, 3, 50.7, 7.4] and then aggregated to daily. </p>
Data from: Arthropod abundance is most strongly driven by crop and semi-natural habitat type rather than management in an intensive agricultural landscape in the Netherlands
<p>The dataset supporting the publication "Arthropod abundance is most strongly driven by crop and semi-natural habitat type rather than management in an intensive agricultural landscape in the Netherlands" is provided. Methods of data collection can be found in the respective publication.</p>
Thermo-staat project citizen science indoor temperature and humidity measurements for researching heat stress in the Netherlands
<p>These datasets contains raw data collected within the Thermo-staat citizen science project per the full year.<br>The aim of the project was to get insight in heat stres and if this problem is subject to social inequality.<br>Measurements contain indoor temperature and humidity data. Sensors in the dataset are bound to different rooms in a home and have different periods of activity. Each sensor has metadata about the room/situation attached. The aim was to get most sensors active in the summer.<br>Measurements where not done at a constant frequency, depending on the connectivity sensors did send up to once every 20 seconds.</p> <p>More information on the project on the website of the <a href="https://thermo-staat.nl/">Thermo-staat project</a></p> <p>More infromation on the <a href="https://thermo-staat.nl/download">data</a> </p> <p>Live data collection <a href="https://thermo-staat.waag.org/api/status_all">status</a> </p>
Subspecies and Distribution. N. p. procyonoides Gray, 1834 — W & SW China and N Indochina. N. p. albus Hornaday, 1904 — Japan (Hokkaido). N. p. koreensis Mori, 1922 — Korean Peninsula. N. p. orestes Thomas, 1923 — C & S China. N. p. ussuriensis Matschie, 1907 — NE China, E Mongolia, and SE Russia. N. p. viverrinus Temminck, 1839 — Japan. Introduced (ussuriensis) to the Baltic states, Belarus, Bulgaria, Czech Republic, Finland, Germany, Hungary, Moldova, Poland, Romania, W Russia, Serbia, Slovakia, Sweden, and Ukraine, occasionally seen in Austria, Bosnia, Denmark, France, the Netherlands, Norway, Slovenia, and Switzerland. in Canidae
Subspecies and Distribution. N. p. procyonoides Gray, 1834 — W & SW China and N Indochina. N. p. albus Hornaday, 1904 — Japan (Hokkaido). N. p. koreensis Mori, 1922 — Korean Peninsula. N. p. orestes Thomas, 1923 — C & S China. N. p. ussuriensis Matschie, 1907 — NE China, E Mongolia, and SE Russia. N. p. viverrinus Temminck, 1839 — Japan. Introduced (ussuriensis) to the Baltic states, Belarus, Bulgaria, Czech Republic, Finland, Germany, Hungary, Moldova, Poland, Romania, W Russia, Serbia, Slovakia, Sweden, and Ukraine, occasionally seen in Austria, Bosnia, Denmark, France, the Netherlands, Norway, Slovenia, and Switzerland.
Subspecies and Distribution. N. v. vison Schreber, 1776 — E Canada and NE USA (Allegheny Mts). N. v. aestuarina Grinnell, 1916 — SW USA (California & W Nevada). N. v. aniakensis Burns, 1964 — W Alaska. N. v. energumenos Bangs, 1896 — W Canada and NW USA. N. v. evagor Hall, 1932 — SW Canada (Vancouver I). N. v. evergladensis Hamilton, 1948 — SE USA (SW Florida). N. v. ingens Osgood, 1900 — most of Alaska and NW Canada (N Mackenzie & Yukon). N. v. lacustris Preble, 1902 — C Canada (Keewatin Region, Manitoba & Ontario). N. v. letifera Hollister, 1913 — Great Plains of USA. N. v. low Anderson, 1945 — E Canada (Labrador & Quebec). N. v. lutensis Bangs, 1898 — USA (S Carolina to Florida). N. v. melampeplus Elliot, 1903 — Alaska (Kenai Peninsula). N. v. mink Peale & Palisot de Beauvois, 1796 — SE USA. N. v. nesolestes Heller, 1909 — SW Alaska. N. v. vulgivaga Bangs, 1895 — USA (Arkansas & Louisiana). Introduced to Belarus, Belgium, China, Czech Republic, Denmark, Estonia, Finland, France, Germany, Great Britian, Iceland, Ireland, Italy, Japan (Hokkaido), Latvia, Lithuania, Netherlands, Norway, Poland, Portugal, Russia, Spain, and Sweden. in Mustelidae
Subspecies and Distribution. N. v. vison Schreber, 1776 — E Canada and NE USA (Allegheny Mts). N. v. aestuarina Grinnell, 1916 — SW USA (California & W Nevada). N. v. aniakensis Burns, 1964 — W Alaska. N. v. energumenos Bangs, 1896 — W Canada and NW USA. N. v. evagor Hall, 1932 — SW Canada (Vancouver I). N. v. evergladensis Hamilton, 1948 — SE USA (SW Florida). N. v. ingens Osgood, 1900 — most of Alaska and NW Canada (N Mackenzie & Yukon). N. v. lacustris Preble, 1902 — C Canada (Keewatin Region, Manitoba & Ontario). N. v. letifera Hollister, 1913 — Great Plains of USA. N. v. low Anderson, 1945 — E Canada (Labrador & Quebec). N. v. lutensis Bangs, 1898 — USA (S Carolina to Florida). N. v. melampeplus Elliot, 1903 — Alaska (Kenai Peninsula). N. v. mink Peale & Palisot de Beauvois, 1796 — SE USA. N. v. nesolestes Heller, 1909 — SW Alaska. N. v. vulgivaga Bangs, 1895 — USA (Arkansas & Louisiana). Introduced to Belarus, Belgium, China, Czech Republic, Denmark, Estonia, Finland, France, Germany, Great Britian, Iceland, Ireland, Italy, Japan (Hokkaido), Latvia, Lithuania, Netherlands, Norway, Poland, Portugal, Russia, Spain, and Sweden.
FIGURE. Euphorbia guillemetii in cultivation in the National Tree Museum Gimborn, The Netherlands. A. branch showing the spines, leaves, and young brachyblasts; B, C. cyathium variation from different individuals; D. main stems. Credits: W.L.A. Hetterscheid. in Novelties in Malagasy Euphorbia (Euphorbiaceae)
FIGURE. Euphorbia guillemetii in cultivation in the National Tree Museum Gimborn, The Netherlands. A. branch showing the spines, leaves, and young brachyblasts; B, C. cyathium variation from different individuals; D. main stems. Credits: W.L.A. Hetterscheid.
FIGURE. Euphorbia fanjahiraensis in cultivation in the National Tree Museum Gimborn, The Netherlands. A. habit; B. detail of the inflorescence. Credits: W.L.A. Hetterscheid (A and B). in Novelties in Malagasy Euphorbia (Euphorbiaceae)
FIGURE. Euphorbia fanjahiraensis in cultivation in the National Tree Museum Gimborn, The Netherlands. A. habit; B. detail of the inflorescence. Credits: W.L.A. Hetterscheid (A and B).
FIGURE. Euphorbia crassicaulis, reddish form in cultivation in the National Tree Museum Gimborn, The Netherlands. A. flowering branch; B. detail of a cyathium and cyathophylls. Credits: W.L.A. Hetterscheid (A and B). in Novelties in Malagasy Euphorbia (Euphorbiaceae)
FIGURE. Euphorbia crassicaulis, reddish form in cultivation in the National Tree Museum Gimborn, The Netherlands. A. flowering branch; B. detail of a cyathium and cyathophylls. Credits: W.L.A. Hetterscheid (A and B).
FIGURE. Euphorbia neobosseri in cultivation in the National Tree Museum Gimborn, The Netherlands. A. succulent rootstock and stem base; B, D. details of inflorescences; C. branch habit. Credits: W.L.A. Hetterscheid (A–D). in Novelties in Malagasy Euphorbia (Euphorbiaceae)
FIGURE. Euphorbia neobosseri in cultivation in the National Tree Museum Gimborn, The Netherlands. A. succulent rootstock and stem base; B, D. details of inflorescences; C. branch habit. Credits: W.L.A. Hetterscheid (A–D).
FIGURE. Euphorbia tsihombensis, plants in cultivation at the National Tree Museum Gimborn, The Netherlands. A. detail of the young spination with accessory spines at the base; B. branch in cultivation showing brachyblast leaves; C. branch with young spines and flat leaves with reddish and widely undulating margin. Credits. W.L.A.Hetterscheid (A–C). in Taxonomic changes and new species in Malagasy Euphorbia (Euphorbiaceae)
FIGURE. Euphorbia tsihombensis, plants in cultivation at the National Tree Museum Gimborn, The Netherlands. A. detail of the young spination with accessory spines at the base; B. branch in cultivation showing brachyblast leaves; C. branch with young spines and flat leaves with reddish and widely undulating margin. Credits. W.L.A.Hetterscheid (A–C).
Recordings of aquatic macroinvertebrates by volunteers (2018-2020) and professionals (2013-2019) in the Netherlands
<p>Volunteers have become more and more involved in monitoring the quality of the environment in which they live. Traditionally, water quality monitoring is the field of professionals at water authorities, however, community initiatives have been undertaken to monitor abiotic conditions in waterbodies. To date, biological water quality assessment based on data collected by volunteers remains scarce. A citizen science project on biological water quality assessment was launched in the Netherlands in 2018. In this project, volunteers collect macroinvertebrates from in a nearby waterbody, identify and count the number of specimens, and register their catch through a web portal to instantaneously receive a water quality score based on their data. This study compares the data from the volunteers with the data from professionals focussing on type of sampled waterbody, sampling period, observed animals and water quality.</p> <p>The analyses show that volunteers and professionals seldomly sample the same waterbody, that there is some overlap in sampling period, and that volunteers more frequently sampled smaller water bodies and more urban waters. The citizen science project is thus yielding useful spatially and temporally complementarity data. The assessments by volunteers and professionals likely differ in character and thoroughness. Volunteers collected significantly lower numbers of animals per sample and fewer animals from soft sediments but more mobile individuals from the open water column. As a result, the water quality scores between volunteers and professionals differ. To bridge these differences, new tools and processes may need to be developed to further increase the value of monitoring biological water quality by volunteers for professionals.</p>
Supplementary Figure 1: The road to FAIR genomes: a gap analysis of NGS data generation and sharing in the Netherlands
<p><em>Supplementary Figure 1: a flow chart conceptualizing the gap analysis. A generic NGS process diagram was created, based on a commonly used care workflow (Step 1). Next, a questionnaire about the inventory of (meta)data standards and retrieval of gaps was drafted (Step 2), which together with the process diagram was used as a basis for the subsequent interviews (Step 3). In parallel with the first three steps, a short literature review was performed (Step 4). The interviews were processed and current gaps were identified, anonymized and classified (Step 5). Finally, the results are shared with the community through presentations, publications and suggestions for next steps for addressing the identified gaps.</em></p>
Subspecies and Distribution. N. p. procyonoides Gray, 1834 — W & SW China and N Indochina. N. p. albus Hornaday, 1904 — Japan (Hokkaido). N. p. koreensis Mori, 1922 — Korean Peninsula. N. p. orestes Thomas, 1923 — C & S China. N. p. ussuriensis Matschie, 1907 — NE China, E Mongolia, and SE Russia. N. p. viverrinus Temminck, 1839 — Japan. Introduced (ussuriensis) to the Baltic states, Belarus, Bulgaria, Czech Republic, Finland, Germany, Hungary, Moldova, Poland, Romania, W Russia, Serbia, Slovakia, Sweden, and Ukraine, occasionally seen in Austria, Bosnia, Denmark, France, the Netherlands, Norway, Slovenia, and Switzerland. in Canidae
Subspecies and Distribution. N. p. procyonoides Gray, 1834 — W & SW China and N Indochina. N. p. albus Hornaday, 1904 — Japan (Hokkaido). N. p. koreensis Mori, 1922 — Korean Peninsula. N. p. orestes Thomas, 1923 — C & S China. N. p. ussuriensis Matschie, 1907 — NE China, E Mongolia, and SE Russia. N. p. viverrinus Temminck, 1839 — Japan. Introduced (ussuriensis) to the Baltic states, Belarus, Bulgaria, Czech Republic, Finland, Germany, Hungary, Moldova, Poland, Romania, W Russia, Serbia, Slovakia, Sweden, and Ukraine, occasionally seen in Austria, Bosnia, Denmark, France, the Netherlands, Norway, Slovenia, and Switzerland.
Subspecies and Distribution. M.m.myotisBorkhausen,1797—S&CentralEurope,fromPortugaltoTurkey,alsoinBalearicIsandSicily,withthelimitsofitsdistributioninNofGermany,SofDenmark,Netherlands,NofPolandandWUkraine. M. m. macrocephalicus D. L. Harrison & Lewis, 1961 — E Mediterranean countries. in Vespertilionidae
Subspecies and Distribution. M.m.myotisBorkhausen,1797—S&CentralEurope,fromPortugaltoTurkey,alsoinBalearicIsandSicily,withthelimitsofitsdistributioninNofGermany,SofDenmark,Netherlands,NofPolandandWUkraine. M. m. macrocephalicus D. L. Harrison & Lewis, 1961 — E Mediterranean countries.
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.