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6,830 results for “O”
O. mykiss passages at the Stanislaus River weir, 2005-2025
The Central Valley Project Improvement Act (CVPIA) provides funds to aid the San Joaquin Basin Steelhead Collaborative and initiate a Steelhead Life-Cycle Monitoring Program. This dataset includes observations of O. mykiss in the Stanislaus River during the steelhead spawning migration period, September through May. Fish are observed at an Alaskan-style weir outfitted with a VAKI Riverwatcher fish counting device. The counting device provides visual records of upstream passing individuals that are later reviewed by an experienced biologist. During times when the counting device is offline, a continuous video feed is reviewed to provide counts and identifications of passing fish. The length of passing fish is estimated using a known body depth to length ratio derived from individuals trapped and measured at the weir. The weir also has a trap box that, when closed, allows investigators to physically capture fish for measurements, biological sample collection, and injection of a PIT tag. There is also a PIT tag antenna affixed to the weir allowing detection of PIT tagged fish. There are three datasets currently associated with this project, 1) passage data for all O. mykiss from 2005 through 2025, 2) O. mykiss that were captured and processed from the trap, and 3) PIT tag detections from the PIT antenna.
Monitoring O. mykiss Life Stages on the Stanislaus River 2021-2025
This study is designed to partly address steelhead conservation measures outlined in the U.S. Bureau of Reclamation's Proposed Action for the Long-Term Operation of the CVP. This effort is funded under the Central Valley Project Improvement Act (CVPIA) authority Provision 3046 (g)(4), which states the primary purpose of this effort shall be to support the Secretary's efforts in fulfilling the requirements of this title through improved scientific understanding concerning, but not limited to, measures needed to restore anadromous fisheries to optimum and sustainable levels in accordance with the restored carrying capacities of Central Valley rivers, streams, and riparian habitats. Conceptual and quantitative work described in this report encompass multiple O. mykiss life-stages and transitions among life stages. The geographic scope of the report includes the Lower Stanislaus River, extending from Goodwin Dam down to the confluence of the San Joaquin River. The goal of this study is to develop a framework for monitoring life stages, and transitions among life stages, to quantify how water project operations and environmental variation influence life history expression, abundance, and population productivity. Data is recorded in a combination of paper to computer files and electronic-only files. Annual reports summarize the survey findings. While this project is ongoing, this is a completed dataset for the collection sessions performed in the years 2021- 2025.
Orbicella faveolata and O. franksi coral metagenome assemblies from the Lower Florida Keys region of Florida, USA
<div> <p>The enclosed files include mostly <em>Orbicella faveolata</em> and three <em>Orbicella franksi</em> coral metagenome assemblies collected from the Lower Keys in Florida’s Coral Reef, USA. Metadata for the files is included in this repository. Apparently healthy coral tissue cores were collected between May 28 and June 21, 2021. The DNA was extracted from the host and associated microorganisms and sequenced in a paired-end 150 bp format on an Illumina NovaSeq. Trimming and quality filtering of DNA sequence reads proceeded, followed by host and photoendosymbiotic dinoflagellate DNA removal. The host-cleaned reads were assembled individually by coral sample into longer contigs using MegaHit v1.1.4. The “Assembly_Fastas” zipped file contains 41 metagenome assemblies from the individual <em>Orbicella faveolata</em> corals and 3 assemblies from the individual <em>Orbicella franksi </em>colonies for a total of 44 assemblies. In addition, these assemblies were annotated with eggnog-mapper v2.1.6 to generate both predicted gene regions and annotation output files. The “Predicted_Gene_Fastas” zipped file contains nucleotide fasta files of the predicted gene regions for all 44 coral metagenome assemblies. The fasta header of each gene includes the contig ID it originated from in the associated “Assembly_Fasta”. The “Predicted_Gene_Annotations” zipped file contains either .csv or .xlsx files with the eggnog-mapper-based annotations. These files contain a “query contig” that corresponds to the contig ID in the fasta header of the “Predicted_Gene_Fasta”. </p> <p>In addition to individual assemblies, a co-assembly was generated that included all 41 <em>Orbicella faveolata</em> coral samples. Prior to co-assembly, further removal of eukaryotic DNA proceeded by splitting the indiviudual assemblies into eukaryotic and prokaryotic content with the program EukRep v0.6.7, followed by mapping of the host-clean reads to the eukaryotic DNA to remove them. The eukaryote-clean reads from all 41 corals were input into MegaHit to generate a co-assembly. The co-assembly is included (FLK_OFAV_MG_coassembly_final.contigs.fa). Predicted genes from the co-assembly were generated with Prodigal v2.6.3 and the nucleotide fasta of the output is included in this repository (FLK_OFAV_MG_pred.fna). Like with the indiviudal assemblies, eggnog-mapper was used to generate annotations of the predicted genes from Prodigal (FLK_OFAV_MG.emapper.annotations.xlsx). Additionally, the abundance of each predicted gene was generated using Salmon to map the eukaryote-clean reads to the predicted genes. The number of reads (counts) for each gene across each coral sample were aggregated as integers into one table and included in this repository (FLK_OFAV_MG_pred_NumReads.tsv). </p> </div> <div> <p>These data were processed and generated by Julie Meyer’s Lab at the University of Florida, using funding from the Florida Department of Environmental Protection. </p> </div>
Photosynthetic quotients in aquatic ecosystems: data and code supporting Trentman et al. 2023 manuscript in L&O Letters
This study provides a summary of the mismatch between our current knowledge and the application of the photosynthetic quotient (PQ). We use data from the Upper Clark Fork River (UCFR) as a case study example of how the PQ may vary in space and time based on environmental conditions. Surface water sample measurements of dissolved oxygen (DO), temperature (T), nutrients (NO3-N, NH4-N, SRP), and several metabolism indicators are represented in this data product. Figures represent data from two sites on the mainstem of the Upper Clark Fork River (UCFR) over a roughly two-year period, from 2019 to 2021. Some measurements are derived from existing data products or manuscripts, including DOT (Valett, et al., 2023); nutrients (H. M. Valett, Dec. 2, 2022, pers. comm); air pressure (Deer Lodge Weather Station, 2023); underlying data for Trentman et al. (2023) Figure 2 and Figure 4e and 4f (via Burris, 1981); and SI-Figure2 USGS gage data (USGS, 2023). Products unique to this data product include metabolism data (Trentman, et al., 2023 (Figure 5)), chamber data supporting Trentman, et al., (2023) Figure 6, and code simulations/data. All analytes and variables are documented in the project data dictionary. For details on data collection methods, see the methods section, the manuscript, and/or referenced data products.
Hubbard Brook Experimental Forest: Relations of the O-horizon with canopy tree species and hydropedologic soil types, 2021
As the interface between plants and soil, the organic horizon is the foundation of forest ecosystems. Two potential predictors of O-layer properties, vegetation and mineral soil type, are difficult to separate because they typically covary. We conducted a factorial study involving four canopy tree species and two soil types with distinctly different hydrology and topographic position to parse patterns in chemistry and microbiota of the O-layer in a north-temperate deciduous forest. These data were gathered as part of the Hubbard Brook Ecosystem Study (HBES). The HBES is a collaborative effort at the Hubbard Brook Experimental Forest, which is operated and maintained by the USDA Forest Service, Northern Research Station.
Stable isotope (δ¹⁸O and δ²H) measurements of water column and benthic samples from Lake Joyce, McMurdo Dry Valleys, Antarctica, November 2014
Water column and benthic samples were collected from Lake Joyce, a perennially ice-covered lake in the McMurdo Dry Valleys of Antarctica, to support stable isotope analyses. Water column samples were collected in November 2014 at depths ranging from 6 to 53 m using a Niskin bottle deployed through a borehole in the lake ice. The deepest sample (53 m) was collected with concurrent live-drop camera observations to ensure that sampling did not disrupt the underlying sediments. Benthic water samples were collected by divers along the delta front on the north side of the lake, targeting topographic low points at depths between 10 and 28.2 m to assess potential pooling of hyporheic discharge. These samples were taken within ~5 cm of the sediment-water interface using 60 mL syringes. This data package includes stable water isotope measurements (δ¹⁸O and δ²H) to support investigations of spatial variability in lake water isotopic composition and potential hydrologic inputs.
ChinaHighO₃: Daily Seamless 1 km Ground-Level O₃ Dataset for China (2000–Present)
<p>ChinaHighO<sub>3</sub> is part of a series of long-term, seamless, high-resolution, and high-quality datasets of air pollutants for China (i.e., ChinaHighAirPollutants, CHAP). It is generated from big data sources (e.g., ground-based measurements, satellite remote sensing products, atmospheric reanalysis, and model simulations) using artificial intelligence, taking into account the spatiotemporal heterogeneity of air pollution.</p> <p>Here is the big data-derived seamless (spatial coverage = 100%) daily, monthly, and yearly 1 km (i.e., D1K, M1K, and Y1K) ground-level maximum daily 8-hour average (MDA8) O<sub>3</sub> dataset for China <strong>from 2000 to the present</strong>. This dataset exhibits high quality, with a cross-validation coefficient of determination (CV-R<sup>2</sup>) of 0.89, a root-mean-square error (RMSE) of 15.77 µg m<sup>-3</sup>, and a mean absolute error (MAE) of 10.48 µg m<sup>-3</sup> on a daily basis.</p> <p>If you use the ChinaHighO<sub>3</sub> dataset in your scientific research, please cite the following references (Yang et al., RSE, 2025; Wei et al., RSE, 2022):</p> <ul> <li>Yang, Z., Li, Z., Cheng, F., Lv, Q., Li, K., Zhang, T., Zhou, Y., Zhao, B., Xue, W., and Wei, J. <a href="https://weijing-rs.github.io/publications/Yang_et_al-RSE-2025.pdf" target="_blank" rel="noopener">Two-decade surface ozone (O<sub>3</sub>) pollution in China: enhanced fine-scale estimations and environmental health implications</a>. <em>Remote Sensing of Environment</em>, 2025, 317, 114459. https://doi.org/10.1016/j.rse.2024.114459</li> </ul> <ul> <li> <p>Wei, J., Li, Z., Li, K., Dickerson, R., Pinker, R., Wang, J., Liu, X., Sun, L., Xue, W., and Cribb, M. <a href="https://weijing-rs.github.io/publications/Wei_et_al-RSE-2022.pdf">Full-coverage mapping and spatiotemporal variations of ground-level ozone (O<sub>3</sub>) pollution from 2013 to 2020 across China</a>. <em>Remote Sensing of Environment</em>, 2022, 270, 112775. https://doi.org/10.1016/j.rse.2021.112775</p> </li> </ul> <p><strong>More CHAP datasets for different air pollutants are available at: <a href="https://weijing-rs.github.io/product.html">https://weijing-rs.github.io/product.html</a></strong></p>
San Jorge o la política del dragón - AmadissigloXX
<p>AmadissigloXX. Base de datos de las reescrituras modernas de los libros de caballerías y del <em>Don Quijote (</em>dir. Elisabetta Sarmati)</p> <p>Ficha de: Ángel María Pascual, "San Jorge o la política del dragón", 1949.</p> <p>Se ofrecen dos ficheros:</p> <ul> <li>formato JSON: contiene los metadatos asociados a la obra (autor, fuente, año de publicación, idioma, sinopsis del argumento, anotaciones, fuentes caballerescas, bibliografía crítica, enlaces externos)</li> <li>formato XML: contiene la base de datos completa con indicación de la versión.</li> </ul>
EFSA Project on the use of NAMs to explore the immunotoxicity of PFAS (Annexes B, C, D1, E, G, I, K, M, O)
<p>In vitro raw data, RIN values and RNA concentrations, DNA quality assessment, RNAseq outputs and analysis of EFSA Project on the use of NAMs to explore the immunotoxicity of PFAS (OC/EFSA/SCER/2021/13). </p>
LatticeQuarkProp/Vertex: Quark propagator and quark-gluon vertex with O(a) improved Wilson fermions
<p>Data for the quark propagator and quark-gluon vertex, from lattice simulations with Nf=2 Wilson-clover fermions.</p> <p>Files M_hyb_*.dat and Z_*.dat are data used in figs 3 and 4 of arXiv:1809.05421. These are plain text (3 columns, legend at top of each file).</p> <p>VertexData.zip contains the form factors lambda_1, lambda_2, lambda_3 in the soft gluon limit, presented in arXiv:2103.02945. The content and format of the files is explained in the document VertexData_Info.pdf</p> <p> </p>
Optimized structures of the stationary points on the potential energy surface of the O(3P, 1D) + HCCCN(X1Σ+) reaction
<p>This Zip file contains the cartesian coordinates of optimized stationary points of the O(<sup>3</sup>P, <sup>1</sup>D) + HCCCN(X<sup>1</sup>Σ<sup>+</sup>) potential energy surface published in our article “Reactions O(<sup>3</sup>P, <sup>1</sup>D) + HCCCN(X<sup>1</sup>Σ<sup>+</sup>) (Cyanoacetylene): Crossed-Beam and Theoretical Studies and Implications for the Chemistry of Extraterrestrial Environments” (<em>J. Phys. Chem. A</em> 2023, 127, 3, 685–703), that can be found in <a href="https://doi.org/10.1021/acs.jpca.2c07708">https://doi.org/10.1021/acs.jpca.2c07708</a>.</p> <p>All calculations have been performed with Gaussian 09, Revision D.01.</p> <p>All structures have been optimized at B3LYP/aug-cc-pVTZ level of theory.</p>
Resin-available nutrients in the O horizon in the MELNHE study at Hubbard Brook Experimental Forest, Bartlett Experimental Forest and Jeffers Brook, central NH USA, 2011- ongoing
The MELNHE study looks at patterns of resource limitation through nutrient manipulations in three study sites in New Hampshire: Bartlett Experimental Forest, Hubbard Brook Experimental Forest, and Jeffers Brook, located in the White Mountain National Forest. The investigation is monitoring stem diameter, leaf area, sap flow, foliar chemistry, leaf litter production and chemistry, foliar nutrient resorption, root biomass and production, mycorrhizal associations, soil respiration, heterotrophic respiration, N and P availability, N mineralization, soil phosphatase activity, soil carbon and nitrogen, nutrient uptake capacity of roots, and mineral weathering. This data set includes phosphate, nitrate and ammonium availability measured using resin exchange strips. Additional detail on the MELNHE project, including a datatable of site descriptions and a pdf file with the project description and diagram of plot configuration can be found in this data package: https://portal.edirepository.org/nis/mapbrowse?scope=knb-lter-hbr&identifier=344 These data were gathered as part of the Hubbard Brook Ecosystem Study (HBES). The HBES is a collaborative effort at the Hubbard Brook Experimental Forest, which is operated and maintained by the USDA Forest Service, Northern Research Station. The following papers describe and make use of these data: Fisk MC, Ratliff TJ, Goswami S, Yanai RD. 2014. Synergistic soil response to nitrogen plus phosphorus fertilization in hardwood forests. Biogeochemistry 118:195-204. https://doi.org/10.1007/s10533-013-9918-1 Goswami S, Fisk MC, Vadeboncoeur MA, Johnston M, Yanai RD, and Fahey TJ. 2018. Phosphorus limitation of aboveground production in northern hardwood forests. Ecology 99: 438-449. https://doi.org/10.1002/ecy.2100 Shan S, Fisk MC, Fahey TJ. 2018. Contrasting effects of N on rhizosphere processes in two northern hardwood species. Soil Biology and Biochemistry 126: 219-227. https://doi.org/10.1016/j.soilbio.2018.09.007 Shan S, Devens H, Fahey TJ
Wood alpha-cellulose stable C and O isotope ratios from New Hampshire and Vermont
To quantify the effects of tree height and canopy position on delta13C and delta18O of wood cellulose, we sampled 399 trees and saplings of eight species at nine forest stands across New Hampshire and Vermont, along with nearby saplings growing in the open. Samples were collected in 2017-18, and we analyzed the combined alpha-cellulose from growth rings formed in 2013-2017 for each tree. Carbon data are published in: Vadeboncoeur, M., K. Jennings, A. Ouimette, and H. Asbjornsen. (2020) Correcting tree-ring d13C time series for tree-size effects in eight temperate tree species. Tree Physiology. https://doi.org/10.1093/treephys/tpz138
4prim-O-beta-D-apiosyl_glucomatronaline
<p>NMR Data of 4'-O-beta-D-apiosyl glucomatronaline</p> <p>1 1D 1H<br> 3 2D 1H-1H COSY<br> 4 2D 1H-13C HSQC<br> 5 2D 1H-13C HMBC<br> 6 2D 1H-1H ROESY<br> 102 1D 13C{1H}</p> <p> </p>
O Mediterrâneo Somos Nós
<p>PT: Doze pessoas falam-nos do mediterrâneo, ou melhor, do(s) seus mediterrâneos. Do mediterrâneo que está nas suas memórias mais ou menos longínquas e daquele que (re)encontram e descobrem na cidade onde vivem agora - Lisboa. Falam para a câmara de olhos bem abertos e, às vezes, de olhos fechados, na sua língua materna e em português, discorrendo sobre os sons, os cheiros, as comidas, as cores e os objetos que associam ao Mare Nostrum. O filme é uma incursão sensorial e emocional à diversidade e à unidade da(s) cultura(s) do mediterrâneo.</p> <p>EN: Twelve people speak to us about the Mediterranean, or rather about their Mediterraneans. From the Mediterranean that is in their more or less distant memories and from the one they (re)find and discover in the city where they now live - Lisbon. They speak to the camera with their eyes wide open and sometimes with their eyes closed, in their mother tongue and in Portuguese, discussing the sounds, smells, foods, colors and objects they associate with Mare Nostrum. The film is a sensory and emotional foray into the diversity and unity of the Mediterranean culture(s).</p> <p>Apoio / Supported by: Fundação INATEL, para o Festival CIOFF Culturas Mediterrânicas, que decorreu no Parque de Jogos 1.º de Maio, INATEL, Lisboa, 12-16 de setembro de 2018 / INATEL Foundation, for CIOFF Mediterranean Cultures Festival, Lisbon, 12-16 September 2018.</p> <p>Realização / Directed by: Filipe Reis, Filipe Ferraz, Emiliano Dantas</p> <p>Produção /Production: Filipe Reis, Emiliano Dantas, Mafalda Melo Sousa</p> <p>Legendas / Subtitles: PT, FR, EN</p>
Holly Church of Saint Spyridon. Saint Spyridon the Miracle-worker and Keeper of Corfu City. Old Town of Corfu. Greece. Bell tower at night (en). Ιερός Ναός Αγίου Σπυρίδωνα. Άγιος Σπυρίδων ο Θαυματουργός και Πολιούχος της Πόλης της Κέρκυρας. Παλαιά Πόλη της Κέρκυρας. Ελλάδα. Κωδονοστάσιο τη νύχτα (ελ). Ierós Naós Agíou Spyrídōna. Ágios Spyrídōn o Thaumatourgós kai Polioúchos tēs Pólēs tēs Kérkyras. Palaiá Pólē tēs Kérkyras. Elláda. Kōdonostásio tē nýchta (el).
<p>Holly Church of Saint Spyridon.</p> <p>Saint Spyridon the Miracle-worker and Keeper of Corfu City.</p> <p>Old Town of Corfu.</p> <p>Greece.</p> <p>Bell tower at night </p>
41CP5_O NAGPRA 2012.1.238
<p>In 2014-2015, Caddo vessels from the Tuck Carpenter (41CP5) collection were scanned at the Center for Regional Heritage Research. These scans were generated for use in a study of 3D geometric morphometrics and for public outreach. </p> <p>Many thanks to the Caddo Nation of Oklahoma and the Anthropology and Archaeology Laboratory for the requisite permissions and access.</p> <p>This project was funded by PTT grant #P14AP00138 from the National Center for Preservation Technology and Training (NCPTT).</p>
O(3P)+CO2 scattering cross sections at superthermal collision energies for planetary aeronomy: Raw data release
<p>Raw data and codes used in M. Gacesa, R. J. Lillis, and K. J. Zahnle, "O(3P)+CO2 scattering cross sections at superthermal collision energies for planetary aeronomy", MNRAS 491, 5650-5659 (2020).</p> <ul> <li>v1.1 includes <strong>differential cross section</strong> data for inelastic scattering: O(3P)+CO2(v=0,j=ji) -> O(3P)+CO2(v=0,jf) and energy transfer to the internal degrees of freedom calculated as in Gacesa & Kharchenko, Geophys. Res. Lett. 39, L10203 (2012).</li> </ul> <p>These files are distributed under GNU General Public License v3.0 and include NO liability or warranty of any kind. No support is provided by the authors. We cannot promise to answer any questions related to this dataset nor to prepare different products for you.</p> <p>Please cite this work as: Marko Gacesa, Lillis, Robert J., & Zahnle, Kevin J. (2019). O(3P)+CO_2 scattering cross sections at superthermal collision energies for planetary aeronomy: Raw data pre-release (Version v0.9-beta) [Data set]. Zenodo. <a href="http://doi.org/10.5281/zenodo.3256699">http://doi.org/10.5281/zenodo.3256699</a></p>
O_ASSEN - Eurasian oystercatchers (Haematopus ostralegus, Haematopodidae) breeding in Assen (the Netherlands)
<p><em>O_ASSEN - Eurasian oystercatchers (Haematopus ostralegus, Haematopodidae) breeding in Assen (the Netherlands)</em> is a bird tracking dataset published by the <a href="https://assen.knnv.nl/werkgroep/vogel-werkgroep/">Vogelwerkgroep Assen</a>, <a href="https://nioo.knaw.nl">Netherlands Institute of Ecology (NIOO-KNAW)</a>, <a href="http://www.sovon.nl">Sovon</a>, <a href="http://www.ru.nl">Radboud University</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 for the study <strong>O_ASSEN</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 2018 to 2019. In total 6 individuals of Eurasian oystercatchers (<em>Haematopus ostralegus</em>) have been tagged as a breeding bird in the city of Assen (the Netherlands), mainly to study space use of oystercatchers breeding in urban areas. 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=study1605797471">1605797471</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/10053903/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_ASSEN-reference-data.csv</strong>: reference data about the animals, tags and deployments.</li> <li><strong>O_ASSEN-gps-yyyy.csv.gz</strong>: GPS data recorded by the tags, grouped by year.</li> <li><strong>O_ASSEN-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 Bert Dijkstra and Rinus Dillerop from Vogelwerkgroep Assen, in collaboration with the Netherlands Institute of Ecology (NIOO-KNAW), Sovon, Radboud University and the University of Amsterdam (UvA). Funding was provided by the Prins Bernard Cultuurfonds Drenthe, municipality of Assen, IJsvogelfonds (from Birdlife Netherlands and Nationale Postcodeloterij) and the Waterleiding Maatschappij Drenthe. The dataset was published with funding from Stichting NLBIF - Netherlands Biodiversity Information Facility.</p>
O_AMELAND - Eurasian oystercatchers (Haematopus ostralegus, Haematopodidae) breeding on Ameland (the Netherlands)
<p><em>O_AMELAND - Eurasian oystercatchers (Haematopus ostralegus, Haematopodidae) breeding on Ameland (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 for the study <strong>O_AMELAND</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 2013. In total 15 individuals of Eurasian oystercatchers (<em>Haematopus ostralegus</em>) have been tagged as a breeding bird on the Wadden island Ameland (the Netherlands), mainly to study their space use during the breeding season. 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="1605803389">1605803389</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/10053853/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_AMELAND-reference-data.csv</strong>: reference data about the animals, tags and deployments.</li> <li><strong>O_AMELAND-gps-yyyy.csv.gz</strong>: GPS data recorded by the tags, grouped by year.</li> <li><strong>O_AMELAND-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 and University of Amsterdam (UvA). 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>
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.