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253 results for “data publishing”
Data published in manuscript "Highest methane concentrations in an Arctic River linked to local terrestrial inputs"
<p>This data is published in the manuscript:</p> <p>Castro-Morales, K., Canning, A., Arzberger, S., Overholt, W.A., Küsel, K., Kolle, O., Göckede, M., Zimov, N. and Körtzinger, A. (2022). Highest methane concentrations in an Arctic River linked to local terrestrial inputs. <em>Biogeosciences.</em> XX, XXX-XXX. https://doi.org/10.5194/bg-XX-XXX-2022.</p> <p>The data contains the water properties, the dissolved gas concentrations and flux densities at 1-min resolution corresponding to two transects in the Kolyma River main channel and two tributaries (Ambolikha and Leonid). The data was collected between 15 and 17 June, 2019.<strong> </strong></p> <p>This folder contains four data files and the file "README_Data_access_Castro-Morales_etal_CH4_Kolyma_River.txt" provides more details on the data.</p> <p> </p> <p> </p>
REMODEL. WP5. Cable Manipulation Planning, Execution and Interactive Perception. T5-2. Cable grasping. Data related to a paper published on RA-L (2022)
<p>The dataset contains data related to the following publication:</p> <p>Costanzo, M., De Maria, G., Natale, C., Russo, A., “Stability and Convergence Analysis of 3D Feature-Based Visual Servoing”, (2022) IEEE Robotics and Automation Letters, pp. 1-8. (DOI: 10.1109/LRA.2022.3211154)</p>
Supplementary data accompanying Hess et al. (2025) 'The I/Ca paleo-oxygenation proxy in planktonic foraminifera: A multispecies core-top calibration' published in Geochimica et Cosmochimica Acta
<p>This data accompanies Hess et al. (2025) 'The I/Ca paleo-oxygenation proxy in planktonic foraminifera: A multispecies core-top calibrations' published in Geochimica et Cosmochimica Acta.</p> <p>Data columns and explanation:</p> <table> <tbody> <tr> <td>reference</td> <td>reference for the I/Ca and Mg/Ca data</td> </tr> <tr> <td>site</td> <td>site name</td> </tr> <tr> <td>sample_depth_cm</td> <td>sample depth (cm below sediment surface)</td> </tr> <tr> <td>basin</td> <td>ocean basin</td> </tr> <tr> <td>site_depth_km</td> <td>site water depth (km)</td> </tr> <tr> <td>species</td> <td>foraminifera species</td> </tr> <tr> <td>calcification_depth</td> <td>foraminifera calcification depth</td> </tr> <tr> <td>size_fraction</td> <td>foraminifera size fraction</td> </tr> <tr> <td>cleaning_oxidative_reductive</td> <td>cleaning applied to sample before trace element analysis (O = oxidative, O+R = oxidative and reductive)</td> </tr> <tr> <td>local_O2_variability</td> <td>indication of whether the site experiences local O2 variability, rows with "yes" are excluded from Figure 4</td> </tr> <tr> <td>MgCa</td> <td>Mg/Ca (mmol/mol)</td> </tr> <tr> <td>MgCa_corr</td> <td>Mg/Ca corrected for effect of reductive cleaning, as necessary (mmol/mol)</td> </tr> <tr> <td>T_anand</td> <td>calcification temperature calculated from Mg/Ca using Anand et al. (2003) multispecies equation</td> </tr> <tr> <td>T_Hollstein_multispec</td> <td>calcification temperature calculated from Mg/Ca using Hollstein et al. (2017) multispecies equation</td> </tr> <tr> <td>T_Hollstein_spec</td> <td>calcification temperature calculated from Mg/Ca using species-specific Hollstein et al. (2017) equations</td> </tr> <tr> <td>T_Cleroux</td> <td>calcification temperature calculated from Mg/Ca using species-specific Cléroux et al. (2008) equations</td> </tr> <tr> <td>depth_anand</td> <td>calcification depth from water column temperature data (Moffett et al., 2020) and T_anand</td> </tr> <tr> <td>depth_Hollstein_multispec</td> <td>calcification depth from water column temperature data (Moffett et al., 2020) and T_Hollstein_multispec</td> </tr> <tr> <td>depth_Hollstein_spec</td> <td>calcification depth from water column temperature data (Moffett et al., 2020) and T_Hollstein_spec</td> </tr> <tr> <td>depth_Cleroux</td> <td>calcification depth from water column temperature data (Moffett et al., 2020) and T_Cleroux</td> </tr> <tr> <td>ICa</td> <td>I/Ca (µmol/mol)</td> </tr> <tr> <td>ICa_corr</td> <td>I/Ca corrected for effect of reductive cleaning, as necessary (µmol/mol)</td> </tr> <tr> <td>O2av_0-500m</td> <td>average oxygen concentration in the top 500 m of the water column at this site, calculated from Moffett et al. (2020) CTD data</td> </tr> <tr> <td>O2min_0-500m</td> <td>minimum oxygen concentration in the top 500 m of the water column at this site, calculated from Moffett et al. (2020) CTD data</td> </tr> <tr> <td>O2min_alldepths</td> <td>minimum oxygen concentration at any depth in the water column at this site, calculated from Moffett et al. (2020) CTD data</td> </tr> <tr> <td>O2av_0-100m</td> <td>average oxygen concentration in the top 100 m of the water column at this site, calculated from Moffett et al. (2020) CTD data</td> </tr> <tr> <td>O2min_0-100m</td> <td>minimum oxygen concentration in the top 100 m of the water column at this site, calculated from Moffett et al. (2020) CTD data</td> </tr> </tbody> </table>
IR data of the compounds published in "Synthesis and Reactivity of Molybdenum and Tungsten Alkyne Complexes Containing 6-Methylpyridine-2-thiolate Ligands"
<p>Here, the uploaded data are associated with the manuscript "Synthesis and Reactivity of Molybdenum and Tungsten Alkyne Complexes Containing 6-Methylpyridine-2-thiolate Ligands," published in Helvetica Chimica Acta under the following DOI: https://doi.org/10.1002/hlca.202100137<br>The .dpt files represent IR spectra of the compounds published in the manuscript. The labeling used consists of two parts, e.g., 1b – ME162, where 1b represents the label of the compound as presented in the manuscript, and ME162 represents the crystallographic label found in the supplementary information (SI).</p>
Spectroscopic data for the compounds and reactions published in "Vinyl-pyrazole as a biomimetic acetaldehyde surrogate"
<p>Here, the uploaded data are associated with the manuscript "Vinyl-pyrazole as a biomimetic acetaldehyde surrogate" published in Chem. Comm. under the following DOI: https://doi.org/10.1039/D4CC01305K</p> <p>The .dpt files represent IR spectra of the compounds published in the manuscript.</p> <p>The .scv files represent NMR spectra of the compounds published in the manuscript.</p> <p>HPLC-MS data is presented as .pdf files.</p> <p>The labeling of the compounds and reactions follows the one in the published manuscript.</p>
Spectroscopic data for the compounds and reactions published in "Nucleophiles Target the Tungsten Center Over Acetylene in Biomimetic Models"
<p>Here, the uploaded data are associated with the manuscript "Nucleophiles Target the Tungsten Center Over Acetylene in Biomimetic Models" published in Inorg. Chem. under the following https://doi.org/10.1021/acs.inorgchem.4c00286<br>The .dpt files represent IR spectra of the compounds published in the manuscript. Gas IR spectrum is reported as .scv file. The .scv files represent NMR spectra of the compounds and reactions published in the manuscript. Line Shape Analysis calculation is presented in the excel file.<br>The labeling of the compounds and reactions follows the one in the published manuscript.</p>
Spectroscopic data of the compounds published in "The Effect of Selenium-Based Ligands on Tungsten Acetylene Complexes"
<p>Here, the uploaded data are associated with the manuscript "The Effect of Selenium-Based Ligands on Tungsten Acetylene Complexes" published in Inorg. Chem. under the following doi/10.1021/acs.inorgchem.4c01636<br>The .dpt files represent IR spectra of the compounds published in the manuscript. The .scv files represent NMR spectra of the compounds and reactions published in the manuscript.<br>The labeling of the compounds and reactions follows the one in the published manuscript.</p>
Associated data for "The Roasting Marshmallows Program with IGRINS on Gemini South II -- WASP-121 b has super-stellar C/O and refractory-to-volatile ratios" Published in The Astronomical Journal
<table> <tbody> <tr> <td>File Name</td> <td>Description</td> </tr> <tr> <td>w121_1DRC_H2O_ONLY.txt</td> <td>Self consistent, solar composition model spectrum with only H2O opacity.</td> </tr> <tr> <td>w121_1DRC_OH_ONLY.txt</td> <td>Self consistent, solar composition model spectrum with only OH opacity.</td> </tr> <tr> <td>w121_1DRC_CO_ONLY.txt</td> <td>Self consistent, solar composition model spectrum with only CO opacity.</td> </tr> <tr> <td>w121_1DRC_EVERYTHING.txt</td> <td>Self consistent, solar composition model spectrum with all sources of opacity.</td> </tr> <tr> <td>pre_.pic</td> <td>Pre-eclipse data in data cuboid of shape N_order, N_frame, N_pixel</td> </tr> <tr> <td>pre_variance.pic</td> <td>Associated per-pixel variance for the pre-eclipse data.</td> </tr> <tr> <td>post_cube.pic</td> <td>Post-eclipse data in data cuboid of shape N_order, N_frame, N_pixel</td> </tr> <tr> <td>pre_time_BJD.pic</td> <td>Average frame time in BJD for the pre-eclipse sequence.</td> </tr> <tr> <td>pre_rvel.pic</td> <td>Stellar radial velocity, including barycentric correction, per frame for the pre-eclipse sequence.</td> </tr> <tr> <td>post_ph.pic</td> <td>Orbital phase per frame for the post-eclipse sequence.</td> </tr> <tr> <td>post_time_BJD.pic</td> <td>Average frame time in BJD for the post-eclipse sequence.</td> </tr> <tr> <td>post_rvel.pic</td> <td>Stellar radial velocity, including barycentric correction, per frame for the post-eclipse sequence</td> </tr> </tbody> </table>
Fig. 1. Heracleum verticillatum, general Fig. 2 in Flower visitation of fungus gnats from the genera Antlemom, Asindulum and Macrorrhyncha (Diptera: Keroplatidae): published data and a new record
Fig. 1. Heracleum verticillatum, general Fig. 2. Specimens of Macrorrhyncha flava view. (marked with arrow) on the flowers.
Рис. 1. Карта-схема пунктов сборов Gynaephora (rossii) в Якутии: 1 — о-в КотеΛьный; 2 — о-в СтоΛбовой; 3 — о-в МаΛый Αяховский; 4 — о-в БоΛьшой Αяховский; 5 — п-ов Быковский в устье Αены; 6 — СеΛΛяхская губа, р. СеΛях, низовья Яны; 7 — КоΛымская протока, низовья ИнΔигирки; 8 — озеро ХомоΛох, бассейн р. БёрёΛёх, низовья ИнΔигирки; 9 — о-в Крестовский; 10 — о-в ЧетырехстоΛбовой; 11 — устье р. Энюмчувеем, южное побережье Восточно-Сибирского моря; 12 — хребет СунтарХаята; 13 — р. ÀжеΛинΔа в системе Станового хребта (точками обозначены ранее опубΛикованные точки, треугоΛьниками — новые местообитания) Fig. 1. Chart of Gynaephora (rossii) collection sites in Yakutia: 1 — Kotelny island; 2 — Stolbovoy island; 3 — Maly Lyakhovsky island; 4 — Bolshoi Lyakhovsky island; 5 — Bykovsky peninsula at the mouth of the Lena river; 6 — Sellakhskaya bay, Selyakh river, lower reaches of the Yana river; 7 — Kolymskaya channel, lower reaches of the Indigirka river; 8 — Lake Homolokh, Berelekh river basin, lower reaches of the Indigirka river; 9 — Krestovsky island; 10 — Chetyrekhstolbovoy island; 11 — the mouth of the Enyumchuveem river, southern coast of the East Siberian sea; 12 — Suntar-Khayata ridge; 13 — Gelinda river in the Stanovoy ridge system (dots indicate previously published localities, triangles indicate new localities) in New data on the distribution of the Gynaephora (rossii) species group in Northern Yakutia
Рис. 1. Карта-схема пунктов сборов Gynaephora (rossii) в Якутии: 1 — о-в КотеΛьный; 2 — о-в СтоΛбовой; 3 — о-в МаΛый Αяховский; 4 — о-в БоΛьшой Αяховский; 5 — п-ов Быковский в устье Αены; 6 — СеΛΛяхская губа, р. СеΛях, низовья Яны; 7 — КоΛымская протока, низовья ИнΔигирки; 8 — озеро ХомоΛох, бассейн р. БёрёΛёх, низовья ИнΔигирки; 9 — о-в Крестовский; 10 — о-в ЧетырехстоΛбовой; 11 — устье р. Энюмчувеем, южное побережье Восточно-Сибирского моря; 12 — хребет СунтарХаята; 13 — р. ÀжеΛинΔа в системе Станового хребта (точками обозначены ранее опубΛикованные точки, треугоΛьниками — новые местообитания) Fig. 1. Chart of Gynaephora (rossii) collection sites in Yakutia: 1 — Kotelny island; 2 — Stolbovoy island; 3 — Maly Lyakhovsky island; 4 — Bolshoi Lyakhovsky island; 5 — Bykovsky peninsula at the mouth of the Lena river; 6 — Sellakhskaya bay, Selyakh river, lower reaches of the Yana river; 7 — Kolymskaya channel, lower reaches of the Indigirka river; 8 — Lake Homolokh, Berelekh river basin, lower reaches of the Indigirka river; 9 — Krestovsky island; 10 — Chetyrekhstolbovoy island; 11 — the mouth of the Enyumchuveem river, southern coast of the East Siberian sea; 12 — Suntar-Khayata ridge; 13 — Gelinda river in the Stanovoy ridge system (dots indicate previously published localities, triangles indicate new localities)
Books per Publisher: Data from the Directory of Open Access Books (DOAB)
<p>Quantitative information on publishers and published books from the Directory of Open Access Books (DOAB).</p>
data and model associated with "Generalization of learned responses in the mormyrid electrosensory lobe" published in eLife
<p>Data and code for model of negative image formation associated with "Generalization of learned responses in the mormyrid electrosensory lobe" published in eLife.</p>
Supplementary data for "Collision-induced absorptions by pure CO2 in the infrared: New measurements in the 1150–4500 cm−1 spectral range and empirical modeling for applications" published in Icarus. https://doi.org/10.1016/j.icarus.2024.116265
<p>Supplementary data for the paper entitled ""Collision-induced absorptions by pure CO2 in the infrared: New measurements in the 1150–4500 cm−1 spectral range and empirical modeling for applications" published in <em>Icarus</em>. https://doi.org/10.1016/j.icarus.2024.116265</p> <p>These data files contain the coefficients needed to compute the shape of a pure CO2 CIA band at a given temperature (see Eq. (3)) of the paper https://doi.org/10.1016/j.icarus.2024.116265</p> <p>"CIA_shape_coeff.dat" involves a CIA band shape without dimer signatures </p> <p>"CIA_dimer_shape_coeff.dat" involves a CIA band shape with dimer signatures </p> <p>"CIA_Fermi_doublet_shape_coeff.dat" involves the Fermi doublet band shape</p> <p>First column is wavenumber in cm-1, the rest of the columns contain the coefficients.</p>
Text-fig. 7. Stratigraphic ranges of selected, biostratigraphically relevant taxa from Late Pennsylvanian and Early Permian of Saar-Nahe Basin. Based on data from Kerp and Fichter (1985), Lausberg et al. (2003), Schindler et al. (2004), Kerp et al. (2007a, b), Cleal (2008) and Uhl (2008). Absolute age of 300.0 ± 1.2 Ma in middle of Remigiusberg Formation based on Ar-Ar dating of sanidins published by Burger et al. (1997). in New Data On The Macroflora Of The Basal Rotliegend Group (Remigiusberg Formation; Gzhelian) In The Saar-Nahe Basin (Sw-Germany)
Text-fig. 7. Stratigraphic ranges of selected, biostratigraphically relevant taxa from Late Pennsylvanian and Early Permian of Saar-Nahe Basin. Based on data from Kerp and Fichter (1985), Lausberg et al. (2003), Schindler et al. (2004), Kerp et al. (2007a, b), Cleal (2008) and Uhl (2008). Absolute age of 300.0 ± 1.2 Ma in middle of Remigiusberg Formation based on Ar-Ar dating of sanidins published by Burger et al. (1997).
Monitoring open access publishing of NWO funded research (data)
<p>This is the dataset underlying the report "Monitoring open access publishing of NWO funded research" (https://doi.org/10.5281/zenodo.5055609). </p> <p>The report presents statistics on the extent to which publications from the period 2015–2020 funded by NWO are available in Open Access . The analyses presented in this report also cover publications funded by the Netherlands Organisation for Health Research and Development ZonMw.</p> <p>This report builds on an <a href="https://doi.org/10.5281/zenodo.4446042">earlier report</a> published in 2020 covering publications from the period 2015–2018.</p> <p> </p>
REMODEL. WP4. Vision-Based Perception. T4-2. Dynamic environment reconstruction. Data related to a paper published on IEEE Access (2022)
<p>Dataset with evaluation results of the paper "Point Cloud Registration With Object-Centric Alignment"; DOI: 10.1109/access.2022.3191352</p>
REMODEL. WP4. Vision-Based Perception. T4-2. Dynamic environment reconstruction. Data related to a paper published on RA-L (2020)
<p>Dataset with evaluation results of the paper "Extrinsic Calibration of an Eye-In-Hand 2D LiDAR Sensor in Unstructured Environments Using ICP" 10.1109/LRA.2020.2965878</p>
Supplementary data for eEDM study (to be published) and thesis
<p>The full output data for the eEDM project.</p> <p>Contains 4 iterations with different settings and the study on the impact of a single phase. Each iteration has a separate folder.</p> <p>The results after running SPheno, FeynHiggs, MicrOMEGAS and our in-house codes are then saved to a .csv file. These files can be found here. Each .csv file contains columns describing the parameter or observable that is taken from the output file of the relevant software package. Names are assumed to be self-explanatory (e.g. mn1 for the mass of the first neutralino).</p> <p>FT refers to fine-tuning as defined in our own in-house code.</p> <p>More details can be obtained upon request.</p>
Source Data for Published Study "Are changes in nociceptive withdrawal reflex magnitude a viable central sensitization proxy? Implications of a replication attempt"
<p>Upload version NWR_v01_20230409</p> <p>Authors: Alexandros Guekos, Alince Catrine Grata, Michèle Hubli, Martin Schubert, and Petra Schweinhardt</p> <p>The present data was collected from August to October 2019 as part of a replication attempt of a previously published study (Ellrich, J., and R-D. Treede. "Convergence of nociceptive and non-nociceptive inputs onto spinal reflex pathways to the tibialis anterior muscle in humans." Acta physiologica scandinavica 163.4 (1998): 391-401, https://doi.org/10.1046/j.1365-201X.1998.t01-1-00392.x). </p> <p>The results of the replication study have been published under open access (Guekos, A., et al. "Are changes in nociceptive withdrawal reflex magnitude a viable central sensitization proxy? Implications of a replication attempt" Clinical Neurophysiology 145 (2023): 139-150, https://doi.org/10.1016/j.clinph.2022.09.011).</p> <p>Details of the paradigm, the experimental setup, and the analysis can be found there.</p> <p>In brief, 16 healthy adults (8 men and 8 women) underwent a single experimental session during which a tonic heat stimulus was applied on one leg to the foot sole and on the other to the calf muscle. Both legs were tested consecutively in pseudorandom order. Concurrently, subjects received transcutaneous electrical stimuli to elicit the nociceptive withdrawal reflex (NWR). The muscle responses were recorded via surface electromyography (sEMG) from the biceps femoris (BF), rectus femoris (RF), and tibialis anterior (TA).</p> <p>The protocol consisisted of eight blocks per leg. During the first two blocks no temperature stimulation was applied. These two blocks served to identify the NWR threshold at the BF. For threshold determination, a single ascending staircase with either single electrical stimulations or triplets (at 2Hz) were used. From the triplets, only the muscle response to the third stimulation was analysed. The higher of the two obtained currents was used as the threshold. The following six blocks used six different temperatures (one per block) of 32, 36, 39, 42, 45 and 46 centigrade. During each block eight transcutaneous electrical stimuli were applied, either to the medial plantar nerve (MP) on the foot sole or to the retromalleolar pathway of the sural nerve (SU). The stimulations increased from -4 mA w.r.t. threshold to 200% threhold. Participants verbally rated perceived pain for every stimulation during these six blocks.</p> <p>Every electrical stimulation consisted of a train of five rectangular stimuli of 1 ms duration delivered at 200 Hz. Muscle responses were recorded from 120 pre- to 380 ms post-stimulation. The recorded sEMG signals were sampled at 48 kHz and downsampled to 6 kHz, rectified, band-pass filtered from 10 Hz to 500 Hz and amplified up to 125 times. Between 120 ms pre- and 380 ms post-stimulation, traces for all applied stimulations were automatically saved into separate txt files.</p> <p>Please consult the README.txt file for details on the structure of the uploaded data and for information w.r.t. potential instances of incompleteness or unusability.</p> <p>The study was funded by the Swiss National Science Foundation as part of a grant to PS (grant number 320030_179191/1).</p>
Nanomaterial genotoxicity evaluation using the high-throughput p53-binding protein 1 (53BP1) assay - data from the article published in PlosOne
<p>Data that have been used in the manuscript "Nanomaterial genotoxicity evaluation using the high-throughput p53-binding protein 1 (53BP1) assay" by M. Fontaine et al., published in PlosOne in 2023.</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.