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253 results for “data publishing”
Data supporting the manuscript: "Influence of modern environmental gradients on foraminiferal faunas in the inner Kongsfjorden (Svalbard)" published in Marine Micropaleontology
<p>Here we provide data about living benthic foraminifera related to the manuscript "Influence of modern environmental gradients on foraminiferal faunas in the inner Kongsfjorden (Svalbard)" published in Marine Micropaleontology.</p> <p>This excel file contains four sheets:</p> <ol> <li><strong>readme</strong></li> <li><strong>KING18_station_infos:</strong> includes sampling coordinates and related information.</li> <li><strong>KING18_abundances10cm3_0-1cm:</strong> includes living benthic foraminiferal absolute abundances (individuals 10cm<sup>-3</sup>) in the 0-0.5 and 0.5-1 cm sediment layers and four different size fractions (i.e., 63-100, 100-125, 125-150 and >150 µm).</li> <li><strong>KING18_abundances10cm3_0-5cm: </strong>includes living benthic foraminiferal absolute abundances (individuals 10cm<sup>-3</sup>) in seven sediment layers (i.e., 0-0.5, 0.5-1, 1-1.5, 1.5-2, 2-3, 3-4 and 4-5 cm) and the >150 µm size fraction.</li> </ol>
Data for "The APC-Barrier and its effect on stratification in open access publishing"
<p>Dataset to reproduce the analysis of the paper "The APC-Barrier and its effect on stratification in open access publishing". An earlier version of the manuscript with the title "The APC-Effect: Stratification in Open Access Publishing" is available at <a href="https://doi.org/10.31222/osf.io/w5szk">https://doi.org/10.31222/osf.io/w5szk</a>.</p> <p>Data is licensed under CC-BY-SA International (4.0), see the file LICENSE.</p> <p>A full description of the dataset is provided in the README.md.</p>
Published and new Geochronology, Thermochronology, Geodetic, and Earthquake Data from the Fairweather Transform Region
<p>Published and new Geochronology, Thermochronology, Geodetic, and Earthquake Data from the Fairweather Transform Region used in <strong>Benowitz, J., </strong>Lease, R., Hauessler, P., Pavlis, P., Mann, M., Fairweather Transform Orogenesis: 25 million years of Crustal-block vertical extrusion and double indenter tectonics since ca. 3 Ma., for <i>Tectonophysics</i>.</p>
IR data of the compounds published in "Bioinspired Nucleophilic Attack on a Tungsten-Bound Acetylene: Formation of Cationic Carbyne and Alkenyl Complexes"
Open the record for dataset details and reuse information.
Withdrawn: DZD Core Data Set - first Version published at DZD Website for internal use (obsoleted by DOI 10.21961/mdm:45923)
<p>The German Center for Diabetes Research (DZD) conducts large clinical multicenter studies in the field of diabetes and metabolic research. In this vein, a core data set (CDS) which contains a list of clinical parameters relevant for joint studies in diabetes research was established in 2021 and published for internal use at the DZD website (https://www.dzd-ev.de/en/). In 2022 a FAIRified version of the data set was published at MDM portal (https://medical-data-models.org/). This entry shows the very first version of the core data set, published as an excel file before the FAIRification. It is intended as a supplement for an article about the FAIRification process: "The Journey to a FAIR CORE DATA SET for Diabetes Research in Germany"</p>
Data pertaining to the published article "Detection of pathological contrast enhancement with synthetic brain imaging from quantitative multiparametric MRI" by Donatelli et al., 2024
<p>Data pertaining to the published article "Detection of pathological contrast enhancement with synthetic brain imaging from quantitative multiparametric MRI" by Donatelli et al., 2024. <a href="https://doi.org/10.1111/jon.13201">https://doi.org/10.1111/jon.13201</a></p>
FAIRmat Tutorial 1: Publish and Explore Data with NOMAD
<p>This tutorial is dedicated to FAIR data management of materials science data based on the NOMAD platform.</p> <p>We will cover the whole data-life cycle: starting with data on your hard drive, we learn how to prepare, upload, publish data, and reference them with a DOI. Furthermore, we will learn how to explore, download, and use data that were published on NOMAD before. We will perform these steps with NOMAD's graphical user interface and its APIs. This is just one installment in a series of tutorials; other tutorials will cover data analysis, lab notebooks, using NOMAD locally (NOMAD Oasis), workflows, and much more.<br><br><strong>Disclaimer:</strong> NOMAD is being continuously developed based on input and feedback from the scientific community. Hence the features, services or interface may have changed since the time of recording of this video. For up-to-date information please consult our latest tutorials and the NOMAD documentation <a href="https://nomad-lab.eu/prod/v1/docs/">https://nomad-lab.eu/prod/v1/docs/</a></p>
Coral growth data from Dongsha Atoll - published in DeCarlo et al. (2017) in Scientific Reports
<p>Coral growth data (annual extension, density, and calcification) for massive <em>Porites</em> corals from the eastern reef flat and lagoon of Dongsha Atoll, South China Sea. The data are derived from computed tomography (CT) scans of coral skeletons. Please cite the following paper when using these data:</p> <p>DeCarlo, T. M. <em>et al</em>. Mass coral mortality under local amplification of 2 °C ocean warming. <em>Sci. Rep</em> <strong>7</strong>, 44586 (2017).</p>
Data showcase papers published in the Mining Software Repositories (MSR) conference
<p>Data regarding data showcase papers published in the Mining Software Repositories (MSR) conference.</p> <p>The following data files are included.</p> <p>citation-table.csv: SWEBOK areas of citing studies<br> citations.bib: Bibliographic details of citing studies<br> citing_dp_dois_citations.txt: Citations of citing studies<br> data_papers.bib: MSR data papers<br> dp_dois_citations.txt: Citations of data papers<br> false_citations.bib: Citing studies that don't actuall use data papers<br> msr-all: Bibliographic details of all MSR papers<br> ndp_dois_citations.txt: Citations of non-data papers<br> ndp_rand_dois_citations.txt: Citations of a randomly chose non-data paper weighted sample<br> self-citations.csv: Data papers citations by their authors</p> <p> </p>
Compilation of LA-ICP-MS data from published literature of SMS and VMS deposits
<p>Compilation of LA-ICP-MS data from published literature of SMS and VMS deposits. Data was compiled as part of a PhD thesis by Hannah L. J. Grant (University of Kiel, 2019). References are contained within the file.</p>
Replication Data for: Diversidade de Gênero nos Conselhos de Administração e sua Relação com Desempenho e Risco Financeiro nas Empresas Familiares. Published by Journal of Contemporary Administration, 23(6), 2019.
<p>This paper analyzes the influence of female participation on the performance and financial risk considering a sample of 218 public companies traded on B3 (Bovespa) from 2010 a 2016. The study also analyzes the influence of female participation on family control companies. Using a random effects methodology and family control dummy and percentage of female presence in boards of director, the study sought to analyze how theses variables and their interactions affect the financial performance of companies. Although the female representation has grown more than 50% in recent years, this share, however, in the board of directors of Brazilian companies is still a minority, close to 9% of the total surveyed. The ownership structure in the family firms is very relevant, with the percentage of 63%. The results suggest a positive relation between female participation and the Tobin-Q, used by value’s proxy, however, this relationship is weaker for firms with a family control. Another result found is that volatility, taken here as a risk’s proxy, is reduced in family run-business.</p>
Underlying data of the project "Are CONSORT checklists submitted by authors adequately reflecting what information is actually reported in published papers?"
<p><em><strong>Supplementary file 3.xlsx</strong></em> contains the evaluations for the 12 papers included in the study.</p>
Compilation of mean monthly water table depth data (2015-2023) and linkages to further published sources of water table data, from European peatlands
<p>This dataset (WH_D1_4_meanmonthly.csv) contains mean monthly water table depth data for 211 point locations, for which the data were originally captured at a higher temporal resolution and were additionally clipped to the temporal window (2015 onwards) of the available Earth Observations in the Sentinel-1 and Sentinel-2 archive. Links to higher resolution/longer time series of these source data, where these are already in the public domain, have been identified in the data submission in case future data users require more detailed water table datasets.Information on site co-ordinates, data period, condition class, and other details, are provided in the associated metadata file (WH_D1_4_metadata.csv). Further links to 165 additional water table dynamics data have been provided for future users, but were not summarised as monthly means in this data submission in case the source data are updated in future. Please refer to the README file for methodological details and important disclaimers.</p>
Data Outputs: An analysis of proper nouns in Marian Keyes published novels 1995-2020.xlsx
<p>A data set analysing proper nouns in Marian Keyes' published novels 1995-2020 conducted for my Irish Research Council funded PhD thesis: </p> <ol> <li>Watermelon</li> <li>Lucy Sullivan is Getting Married</li> <li>Rachel's Holiday</li> <li>Last Chance Saloon</li> <li>Sushi for Beginners</li> <li>Angels</li> <li>The Other Side of the Story</li> <li>Anybody Out There?</li> <li>This Charming Man</li> <li>The Brightest Star in the Sky</li> <li>The Mystery of Mercy Close</li> <li>The Woman Who Stole My Life</li> <li>The Break</li> <li>Grown Ups</li> </ol> <p>The results are not statistically significant and therefore not incorporated into my final write up. </p> <p>The list of character names may be useful to incoroprate into a STOP list for anyone else seeking to analyse Keyes' novels via distant reading methods.</p>
LFP and single-unit data published in Olafsdottir, Carpenter and Barry (2016) Nature Neuroscience 19: 792-794
<p><strong>OVERVIEW</strong></p> <p>All data are recorded using tetrodes - eight in MEC (deep layers) and eight in hippocampus - and the DACQ system from Axona Ltd</p> <p>For all recording files (except R2142), tetrodes 1-8 are in MEC (for R2142 it's the other way around)</p> <p>Filenames indicate the recording date, animal ID and whether the animal was running on the Z-track ('track1'), resting ('sleepPOST'), or foraging in the open field ('Training') - e.g. 20151201_R2337_track1 indicates that this file is from animal R2337 running on the Z-track on 1st December 2015</p> <p>Rest recordings were recorded immediately after animals were exposed to the track; foraging was carried out in a 1m square arena</p> <p>All files ending with .cut have spike sorted data - e.g. 20151127_R2337_track1_11.cut, contains the spike sorted data for tetrode 11; files ending with .pos contain position data (sampled at 50Hz); files ending with .egf contain LFP data (sampled at 4.8kHz); files ending with .set contain the header information; files ending with a number contain tetrode data - e.g. '20151127_R2337_track1.1' contains tetrode data from tetrode 1; and some folder have .clu files (the output of KlustaKwik), but these should be ignored as they are superseded by the .cut files</p> <p><br> <strong>RAT SPECIFIC NOTES</strong></p> <p>R2142</p> <p>>>2014-08-06</p> <p>Screening, Track1 and SleepPost present</p> <p> </p> <p>R2192</p> <p>>>2104-09-17</p> <p>Track1 and SleepPost sessions present</p> <p>>>2014-10-01</p> <p>Note this animal has a typo in the file name for the track session, indicating the wrong date - i.e. 20140110 should be 20141001, as this recording was made on 1st October 2014 NOT 10th January 2014. Note that this digit switch applies to all files for that session (i.e. track) but not to the other files from that day (i.e. sleepPost)</p> <p> </p> <p>R2217</p> <p>>>2014-12-13</p> <p>Screening, Track1 and SleepPost present</p> <p>>>2014-12-18</p> <p>Screening, Track1 and SleepPost present</p> <p><br> R2335</p> <p>>>2015-10-26</p> <p>Screening, Track1 and SleepPost present<br> </p> <p>R2336</p> <p>>>2015-11-01</p> <p>Track1 and SleepPost present</p> <p>>>2015-11-04</p> <p>Track1 and SleepPost present</p> <p> </p> <p>R2337</p> <p>>>2015-11-27</p> <p>Track1 and SleepPost present</p> <p>>>2015-12-01</p> <p>Track1 and SleepPost present</p>
Data for the article on 'Non-syntactic factors and accessibility to relativization: evidence from Armenian', published in Linguistics
<p>Data for the article on 'Non-syntactic factors and accessibility to relativization: evidence from Armenian', published in Linguistics</p>
Data sources for the manuscript on groundwater stress indicators published in Water Resources Research
<p>We computed seven global-scale groundwater stress indicators at the 0.5° grid-cell level and for transboundary aquifers> 20,000 km². All indicators were calculated for current conditions (1981-2010 or 2001-2010) based on a homogenized version of the concatenated WATCH Forcing Data ERA-40 (WFD) and WFD ERA-Interim data sets (WFDEI). In addition, four of the indicators were computed for the 2050s (2041-2070) under the worst-case greenhouse gas emissions scenario RCP8.5 applying ten climate and irrigation scenarios. The scenarios were derived by combining two irrigation scenarios (“AAI constant” and “AAI LandSHIFT”) with model output from the five global climate models GFDL-ESM2M, HadGEM2 -ES, IPSL-CM5A-LR, MIROC-ESM-CHEM, and NorESM1-M.</p> <p>Here, we provide the WaterGAP model output used to compute the groundwater stress indicators. A description of the indicators and the underlying data can be found in the reference below. Moreover, a table with coordinates and grid-cell area [km²] used in WaterGAP is provided for the conversion of units.</p> <p>The model output comprises:</p> <p>1. Monthly groundwater recharge (GWR and GWRswb) 1981-2010 and 2041-2070 [mm/month, km³/month]</p> <p>2. Monthly groundwater withdrawals (WWg) 1981-2010 (constWU, transWU) and 2041-2070 (constWU) [m³/month]</p> <p>3. Monthly net abstractions from groundwater (NAg) 1981-2010 (constWU, transWU) and 2041-2070 (constWU) [m³/month]</p> <p>4. Monthly groundwater discharge (“gwrunoff”) 2001-2010 from a model run with human water use (transWU) [mm/month]</p> <p>5. Monthly groundwater discharge (“gwrunoff”) 2001-2010 from a model run without human water use (NAT) [mm/month]</p> <p>6. Monthly groundwater storage 2001-2010 from a model run with human water use (transWU) [mm]</p> <p>7. Monthly groundwater storage 2001-2010 from a model run without human water use (NAT) [mm]</p>
Stability of iridium single atoms on Fe3O4(001) in the mbar pressure range - Published and reference data
<p>Collection of data used in the publication in title, sorted for different conditions and pressures. Baselines included for pristine Fe3O4(001), in addition to Ir1-deposited surfaces.</p>
Factors influencing surface carbon contamination in ambient-pressure X-ray photoelectron spectroscopy experiments - Published data
<p>Collection of data used in the publication in title. Data sorted according to figures. Additional data has been acquired, but was not utilized in the publication.</p>
Data from: Thermal springs and active fault network of the central Colca River basin, Western Cordillera, Peru, published in Journal of Volcanology and Geothermal Research
<p>We used hydrogeochemical analysis of 35 water samples from springs and geysers, together with isotopic (δ<sup>18</sup>O and δD) analysis, chemical and mineral studies of precipitates collected in the field around these outflows, and field observations to study the thermal system of the Colca River basin in S Peru. We aimed to determine the geochemistry of thermal waters, identify fluid sources and their origin, estimate reservoir temperature, and discuss the regional tectonic and volcanic framework. Our findings presented in Tyc et al. (2022; https://doi.org/10.1016/j.jvolgeores.2022.107513) corroborate a heterogeneous and complex geothermal system in the central region of the Colca River basin. This system exhibits contrasting hydrogeochemical and physical characteristics, variable isotope compositions, distinct reservoir temperatures, and associated precipitates near thermal springs. The control of water chemistry in this area is closely linked to the activity of the Ampato-Sabancaya magmatic chamber and the presence of tectonic structures, which enable intricate interactions between meteoric waters, magmatic fluids, and gases.</p> <p>Here, we present datasets used in the article (Tyc et al., 2022; https://doi.org/10.1016/j.jvolgeores.2022.107513), including:</p> <p>- Physicochemical characteristics of water samples collected by authors in the field in September 2012 and August–September 2017 (Table 1)</p> <p>- Chemical and isotopic composition of water samples collected by authors in the field in September 2012 and August–September 2017 (Table 2) and those monitored by INGEMMET in years 2013-2018 (Table 3)</p> <p>- Chosen molecular ratios discussed in Tyc et al., 2022 (Table 4)</p> <p>- Calculated reservoir temperature with the use of different Na/K geothermometers (Table 5)</p> <p>- Mineral phases in efflorescences precipitating at the water sampling sites (Table 6).</p> <p>Thirty-five sets of water samples were collected in the field in September 2012 and August–September 2017 using polyethylene bottles of high density (Table 1). Consequently, these were analyzed in the Water Analysis Laboratory at the University of Silesia in Katowice (Poland; Table 2). Water temperatures, pH, and electrical conductivity were measured in the field using portable pH meter CP-315 and conductivity meter CC-315, both with temperature sensors, with an accuracy of ±0.1 °C, ±0.01 pH, and ± 0.1% (up to 19.999 mS/cm) or ± 0.25% (above 20.00 mS/cm), respectively. Discharge of springs was estimated if possible (Table 1). Both cations and anions were analyzed by ion chromatography using Methron 850 Professional Ion Chromatograph with separate Metrosept C4–150 and A-supp 7–250 columns for cations and anions, respectively (Tables 2 and 4). Analysis of water analyses collected by INGEMMET in years 2013-2018 was performed at the INGEMMET Chemical Laboratory in Lima with the use of ion chromatography (Dionex ICS 5000) for the determination of anions and inductively coupled plasma optical emission spectrometry (ICP-OES) – VARIAN for cations (Table 3). Isotopic analyses (δ<sup>2</sup>H, δ<sup>18</sup>O) of 17 water samples collected in 2017 were performed at the Stable Isotope Laboratory Institute of Geological Sciences Polish Academy of Sciences (Table 2). The δ<sup>2</sup>H values of studied H<sub>2</sub>O were measured using the H-Device peripheral coupled to MAT 253 IRMS (Thermo Scientific) in a dual inlet system. For the determination of δ<sup>18</sup>O in H<sub>2</sub>O, an equilibration technique was used. The analysis used the GasBench II peripheral device (Thermo Scientific) coupled to MAT 253 IRMS with a continuous He flow. The AquaChem 4.0.284 software was used to evaluate the water samples' geochemical properties and calculate reservoir temperature for thermal waters (Table 5). Precipitates found at the water sampling sites were collected separately into plastic bags with strings and sealed boxes. These samples were subsequently analyzed at the Institute of Earth Sciences, University of Silesia in Katowice. The qualitative chemical composition and mineral characteristics were examined using a Philips XL 30 ESEM/TMP scanning electron microscope coupled with an energy-dispersive spectrometer (EDS; EDAX type Sapphire). The phase composition of the precipitates was determined through X-ray diffraction (XRD) using a Philips PW 3710 diffractometer. The XRD data were analyzed and interpreted using the X'Pert HIGHScore Plus software (Table 6).</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.