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651 results for “netherlands”
Implementation of Hysteroscopy in Flanders and the Netherlands
ClinicalTrials.gov study NCT02853695. IPD Sharing: Not stated. Countries: 0. Publications: 5.
Data from: Assessing species richness trends: declines of bees and bumblebees in the Netherlands since 1945.
Open the record for dataset details and reuse information.
Data from: Woodland ectomycorrhizal fungi benefit from large-scale reduction of nitrogen deposition in the Netherlands
Open the record for dataset details and reuse information.
Fragmentation and translocation distort the genetic landscape of ungulates: red deer in the Netherlands
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Figure 5 from: Milotic T, Desmet P, Anselin A, De Bruyn L, De Regge N, Janssens K, Klaassen R, Koks B, Schaub T, Schlaich A, Spanoghe G, T'jollyn F, Vanoverbeke J, Bouten W (2020) GPS tracking data of Western marsh harriers breeding in Belgium and the Netherlands. ZooKeys 947: 143-155. https://doi.org/10.3897/zookeys.947.52570
Figure 5 Number of acceleration records per year and per dataset.
Figure 4 from: Milotic T, Desmet P, Anselin A, De Bruyn L, De Regge N, Janssens K, Klaassen R, Koks B, Schaub T, Schlaich A, Spanoghe G, T'jollyn F, Vanoverbeke J, Bouten W (2020) GPS tracking data of Western marsh harriers breeding in Belgium and the Netherlands. ZooKeys 947: 143-155. https://doi.org/10.3897/zookeys.947.52570
Figure 4 Number of GPS fixes per year and per dataset.
Figure 3 from: Milotic T, Desmet P, Anselin A, De Bruyn L, De Regge N, Janssens K, Klaassen R, Koks B, Schaub T, Schlaich A, Spanoghe G, T'jollyn F, Vanoverbeke J, Bouten W (2020) GPS tracking data of Western marsh harriers breeding in Belgium and the Netherlands. ZooKeys 947: 143-155. https://doi.org/10.3897/zookeys.947.52570
Figure 3 Tracking effort: number of observations per day and per individual.
Data suppository for 'The flower preference of beneficial insects in the agricultural area of Hollands Kroon in the Netherlands'
<p>Data suppository including management plan, R script, excel files and all data.</p>
Agroforestry walnut allometry data from 5 locations in the Netherlands (n=263)
<p>Allometry data on walnut (<em>Juglans regia</em>) in agroforestry-like systems (7-10 meters spacing) with different age (7-29 years old) was collected in the summer of 2024 across 5 locations (sandy and clayey soils) in the Netherlands. In total for 263 trees the diameter at breast height (DBH), the merchantable stem height, and total tree height were measured. For a selection of 42 out of the 263 trees, the canopy diameter in two directions, the stem diameter at the stem base, and the stem diameter at the stem top were measured. The data was collected in order to provide training and validation data for artificial intelligence (AI) models that use field-data combined with satellite data (hyperspectral, LiDAR) with the aim to predict carbon storage in the aboveground biomass (AGB) of walnut trees. The overarching goal was to contribute to cost-efficient yet reliable methods for monitoring, reporting, and verification (MRV) for agroforestry carbon farming certification schemes. The data was collected as part of the project: “Verdienmodellen voor koolstofvastlegging; gebiedsgerichte pilot in Zuid-Nederland”. The project was requested by BoerenNatuur Brabant West, executed by the Zuidelijke Land- en Tuinbouworganisatie (ZLTO) and Louis Bolk Instituut (LBI), with contributions from Space4Good on the AI model development hosted by a web-based platform "CarboCatch". The project was funded under the subsidy “Samenwerken aan groen-economisch herstel” and was granted by the Rijksdienst van Ondernemend Nederland (RVO). The data was collected by Waas Thissen (LBI) and Zarah Tomesen. Contact person for requesting the dataset is Waas Thissen.</p>
Supplementary Tables S1 and S2 - Wild bird densities and landscape variables predict spatial patterns in HPAI outbreak risk across the Netherlands
<p>Table S1: Overview of candidate variables in order of (Rank) decreasing feature importance, including a selection of high risk bird species for HPAIV infection and land cover variables.</p> <p>Table S2: Aggregation of land cover classes to 5 major classes used in the random forest algorithms.</p>
Data from: Survival and phenology of ducklings of Mallard, Domestic Duck and Gadwall in The Netherlands
<p>Previous analysis of demographic parameters of the Mallard (<em>Anas platyrhynchos</em>) population hinted at low duckling survival driving the decline, but no empirical data on duckling survival in the Netherlands were available. To address this knowledge gap, we initiated a citizen science project in 2016 to collect basic information about Mallard breeding biology and duckling survival. In the slipstream of this project, we also collected data for Domestic Duck (<em>A. platyrhynchos forma domestica</em>) and Gadwall (<em>Mareca strepera</em>) for comparison. </p> <p>Here we archive the research data underlying the analyses and graphs of the this publication in Limosa (2024, 97:49-61): "Survival and phenology of dablings of Mallard <em>Anas platyrhynchos</em>, Domestic Duck <em>A. platyrhynchos forma domestica</em> and Gadwall <em>Mareca strepera</em> in The Netherlands" (Dutch title: "Overleving en fenologie van kuikens van Wilde Eend, Soepeend en Krakeend in Nederland") by Erik Kleyheeg, Loes van den Bremer, Chris van Turnhout, Ties Maris, Eelke Jongejans & Niek van Rabenswaaij.</p> <p> </p> <p>The data file <strong><span>“waarnemingen 2016-2020 Limosa.csv”</span></strong><span> contains the following variables:</span></p> <p><span>year: Year of the study (2016 up to 2020)</span></p> <p><span>date: Date of observation</span></p> <p><span>time: Time of observation</span></p> <p><span>ID: Identifier of observation</span></p> <p><span>ID_family: Identifier of mallard family/brood (useful in case of successive observations)</span></p> <p><span>species: Species (dom = domestic duck/feral mallard, gad = gadwall, mal = mallard)</span></p> <p><span>N_chicks: Reported number of chicks</span></p> <p><span>age: Estimated age in weeks (1 = 0 to 1 week old, etc.)</span></p> <p><span>age_days: Estimated age in days</span></p> <p><span>observer: Anonymized observer</span></p> <p><span>remark: Remark</span></p> <p><span>latitude: Latitude of observation</span></p> <p><span>longitude: Longitude of observation</span></p> <p><span>surface: Whether ducklings were on land or water</span></p> <p><span>shore: Type of shoreline nearest to ducklings (emb = timbering/revetment, nhv = high vegetation, nlv = low </span><span>vegetation, nno = no vegetation, oth = other)</span></p> <p><span>water: Water quality (cle = clear, tur = turbid, wee = covered with duckweed, oth = other) </span></p> <p><span>N_deaths: Number of ducklings observed perishing during the observation</span></p> <p><span>cause_deaths: Observed cause of death (agg = aggression, bre = grey heron, bui = buzzard, hon = dog, kat = cat, nijl = Egyptian goose, pre = predator unknown, sno = pike, zkr = carrion crown, zon = mammal unknown, oth = other)</span></p> <p><span>breadfeeding: Whether or not ducks are fed with bread regularly at the site of the observation</span></p>
Figure 2 from: Sparrius LB, van Heeswijk J, Dirkse GM, Verhofstad MJJM (2019) The FLORIVON flora survey in the Netherlands between 1902 and 1950. PhytoKeys 135: 11-20. https://doi.org/10.3897/phytokeys.135.30069
Figure 2 Number of surveys per 5 year period during the course of FLORIVON project.
Local vs. regional wind data at the beach of Egmond aan Zee, The Netherlands
<p>This dataset includes wind measurements in the coastal area of the Netherlands. </p> <p>Local winddata (SA01 up to and including SA08) were measured using ultrasonic anemometers in 2015 and 2017 at the beach of Egmond aan Zee, The Netherlands. Regional winddata were derived from a weather station at IJmuiden, The Netherlands.</p> <p>All settings-files contain metadata of the corresponding instruments. </p>
Figure 1 from: Felix R, Wielink P (2011) Calodromius bifasciatus and other Carabidae on 26 oak-trunks in a nature reserve in the Netherlands. ZooKeys 100: 533-544. https://doi.org/10.3897/zookeys.100.1544
Figure 1 - Paper bands at several heights. Photo: Paul van Wielink
Resuscitation Outcomes in the Netherlands Flashmob Questionnaire
ClinicalTrials.gov study NCT03807206. IPD Sharing: NO. Countries: 1. Publications: 0.
Netherlands 10 mL Bronchoscopic Lung Volume Reduction (BLVR) Phase 1/2 Emphysema Study - Initial Formulation
ClinicalTrials.gov study NCT00205920. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Abdominal Aortic Aneurysm Sac Healing and Prevention of Endoleaks - Netherlands
ClinicalTrials.gov study NCT04751578. IPD Sharing: NO. Countries: 1. Publications: 0.
Resuscitation Outcomes in the Netherlands
ClinicalTrials.gov study NCT03120507. IPD Sharing: NO. Countries: 1. Publications: 0.
UCAN CAN-DU: Canada-Netherlands Personalized Medicine Network in Childhood Arthritis and Rheumatic Disease
ClinicalTrials.gov study NCT06560606. IPD Sharing: YES. Countries: 2. Publications: 0.
Multiple Sclerosis Treatment With Autologous Hematopoietic Stem Cell Transplantation in the Netherlands
ClinicalTrials.gov study NCT06567197. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
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.