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IODP Expedition 371 P-wave velocity logger (whole round)
P-wave velocity data were measured on whole-round sections on the Whole-Round Multisensor Logger (WRMSL) using pairs of piezoelectric transducers mounted on a caliper system. Measurements may be affected by degassing of pore fluid and microfracturing during core recovery. Report includes P-wave velocity in x-y plane and distance and traveltime between transducers.
IODP Expedition 371 P-wave velocity caliper (section/discrete)
P-wave velocity data were measured on undisturbed section halves (JRSO-defined x-axis) and/or discrete cube and cylinder samples (x, y, or z-axis) using pairs of piezoelectric transducers mounted on a caliper system. Report includes P-wave velocity in x, y, and/or z-direction, caliper separation, traveltime between transucers, and first arrival picks.
IODP Expedition 371 Portable X-ray fluorescence (p-XRF)
Energy-Dispersive X-Ray Fluorescence (ED-XRF) is a rapid, non-destructive technique for determining qualitative and quantitative changes in chemical composition. Aboard the JOIDES Resolution, pXRF is used for measuring points on section halves, rock pieces, and sometimes powders. Spots are typically irradiated at multiple conditions to excite and measure a wide range of elements. The peak intensity changes (we do not provide concentrations) are then used to help recognize and define major chemo-stratigraphic units without the need for destructive sampling.
P. Castro (c0927)
<b>-- <a href="https://doi.org/10.5281/zenodo.11582199">Documentation</a> --</b><br><br><u>Name</u>: P. Castro<br><u>musiXplora-ID</u>: c0927<br><u>musiXplora-URI</u>: <a href="https://musixplora.de/mxp/c0927">https://musixplora.de/mxp/c0927</a><br><u>Gender</u>: m<br><u>First Mentioned</u>: 1670<br><u>Last Mentioned</u>: 1720<br><u>Sectors</u>: Instrumentenbau<br><u>Professions (Historical)</u>: Kontrabassbauer<br><u>Professions (Musical)</u>: Geigenbauer<br><u>Other Places of Activity</u>: Venedig<br><br><br><br><u>Changelog</u>:<br> - v0.0.1: Initial Upload.<br>
C. P. Blumenhagen (b3987)
<b>-- <a href="https://doi.org/10.5281/zenodo.11582199">Documentation</a> --</b><br><br><u>Name</u>: C. P. Blumenhagen<br><u>musiXplora-ID</u>: b3987<br><u>musiXplora-URI</u>: <a href="https://musixplora.de/mxp/b3987">https://musixplora.de/mxp/b3987</a><br><u>Gender</u>: m<br><u>Date of Birth</u>: 1753<br><u>Place of Birth</u>: Hannover<br><u>First Mentioned</u>: 1800<br><u>Sectors</u>: Instrumentenbau<br><u>Professions (Musical)</u>: Geigenbauer, Lautenmacher<br><u>Main Place of Activity</u>: Hannover<br><br><br><u>Titel/Medien:</u><br><table><tbody><tr><th>Role</th><th>Sigel</th><th>Title</th><th>mXp-ID</th></tr><tr><td>Related</td><td>Lütgendorff 1922</td><td>Die Geigen- und Lautenmacher vom Mittelalter bis zur Gegenwart. 2 Bände. Lüt2</td><td><a href="https://musixplora.de/mxp/5002059">5002059</a></td></tr></tbody></table><br><br><u>Changelog</u>:<br> - v0.0.1: Initial Upload.<br>
C. P. Blumenhagen (b3982)
<b>-- <a href="https://doi.org/10.5281/zenodo.11582199">Documentation</a> --</b><br><br><u>Name</u>: C. P. Blumenhagen<br><u>musiXplora-ID</u>: b3982<br><u>musiXplora-URI</u>: <a href="https://musixplora.de/mxp/b3982">https://musixplora.de/mxp/b3982</a><br><u>Gender</u>: m<br><u>First Mentioned</u>: 1753<br><u>Sectors</u>: Geigenbau, Zupfinstrumentenbau<br><u>Professions (Musical)</u>: Geigenbauer, Lautenmacher<br><u>Other Places of Activity</u>: Hannover<br><br><br><u>Portfolio:</u><br><table><tbody><tr><th>Group</th><th>Role</th><th>Name</th><th>mXp-ID</th></tr><tr><td>Sortimente</td><td>Sortiment</td><td>Pochette</td><td><a href="https://musixplora.de/mxp/2001476">2001476</a></td></tr></tbody></table><br><u>Titel/Medien:</u><br><table><tbody><tr><th>Role</th><th>Sigel</th><th>Title</th><th>mXp-ID</th></tr><tr><td>Related</td><td>Lütgendorff 1922</td><td>Die Geigen- und Lautenmacher vom Mittelalter bis zur Gegenwart. 2 Bände. Lüt2</td><td><a href="https://musixplora.de/mxp/5002059">5002059</a></td></tr></tbody></table><br><br><u>Changelog</u>:<br> - v0.0.1: Initial Upload.<br>
P. Bovenschen (b3003)
<b>-- <a href="https://doi.org/10.5281/zenodo.11582199">Documentation</a> --</b><br><br><u>Name</u>: P. Bovenschen<br><u>musiXplora-ID</u>: b3003<br><u>musiXplora-URI</u>: <a href="https://musixplora.de/mxp/b3003">https://musixplora.de/mxp/b3003</a><br><u>Gender</u>: m<br><u>First Mentioned</u>: 1795<br><u>Last Mentioned</u>: 1815<br><u>Sectors</u>: Instrumentenbau<br><u>Professions (Historical)</u>: Flötenspielbauer<br><u>Professions (Musical)</u>: Instrumentenbauer<br><u>Other Places of Activity</u>: Hannover<br><br><br><br><u>Changelog</u>:<br> - v0.0.1: Initial Upload.<br>
P. Charles Prévôt (p1575)
<b>-- <a href="https://doi.org/10.5281/zenodo.11582199">Documentation</a> --</b><br><br><u>Name</u>: P. Charles Prévôt<br><u>musiXplora-ID</u>: p1575<br><u>musiXplora-URI</u>: <a href="https://musixplora.de/mxp/p1575">https://musixplora.de/mxp/p1575</a><br><u>Gender</u>: m<br><u>First Mentioned</u>: 1775<br><u>Last Mentioned</u>: 1789<br><u>Sectors</u>: Instrumentenbau<br><u>Professions (Musical)</u>: Geigenbauer<br><u>Other Places of Activity</u>: Mirecourt, Paris<br><br><br><u>Titel/Medien:</u><br><table><tbody><tr><th>Role</th><th>Sigel</th><th>Title</th><th>mXp-ID</th></tr><tr><td>Related</td><td>Lütgendorff 1922</td><td>Die Geigen- und Lautenmacher vom Mittelalter bis zur Gegenwart. 2 Bände. Lüt2</td><td><a href="https://musixplora.de/mxp/5002059">5002059</a></td></tr></tbody></table><br><br><u>Changelog</u>:<br> - v0.0.1: Initial Upload.<br>
P. Robert Penzel (p1510)
<b>-- <a href="https://doi.org/10.5281/zenodo.11582199">Documentation</a> --</b><br><br><u>Name</u>: P. Robert Penzel<br><u>musiXplora-ID</u>: p1510<br><u>musiXplora-URI</u>: <a href="https://musixplora.de/mxp/p1510">https://musixplora.de/mxp/p1510</a><br><u>Gender</u>: m<br><u>Date of Birth</u>: 02 January 1873<br><u>Place of Birth</u>: Markneukirchen<br><u>Date of Death</u>: 20 July 1938<br><u>Place of Death</u>: Markneukirchen<br><u>First Mentioned</u>: 1892<br><u>Sectors</u>: Instrumentenbau<br><u>Professions (Musical)</u>: Geigenbauer<br><u>Main Place of Activity</u>: Markneukirchen<br><u>Other Places of Activity</u>: Frankreich, Großbritannien, Schwerin<br><br><br><u>Ausbildung:</u><br><table><tbody><tr><th>Group</th><th>Role</th><th>Name</th><th>mXp-ID</th></tr><tr><td>LehrerInnen und AusbilderInnen</td><td>Schüler</td><td>Otto Carl Paul Schünemann</td><td><a href="https://musixplora.de/mxp/s4281">s4281</a></td></tr></tbody></table><br><u>Institutionen:</u><br><table><tbody><tr><th>Role</th><th>Title</th><th>mXp-ID</th></tr><tr><td>Related</td><td>Deutsche Geigenmacherschule</td><td><a href="https://musixplora.de/mxp/3030405">3030405</a></td></tr></tbody></table><br><u>Titel/Medien:</u><br><table><tbody><tr><th>Role</th><th>Sigel</th><th>Title</th><th>mXp-ID</th></tr><tr><td>Related</td><td>Lütgendorff 1922</td><td>Die Geigen- und Lautenmacher vom Mittelalter bis zur Gegenwart. 2 Bände. Lüt2</td><td><a href="https://musixplora.de/mxp/5002059">5002059</a></td></tr></tbody></table><br><br><u>Changelog</u>:<br> - v0.0.1: Initial Upload.<br>
P. W. Meinel (m2293)
<b>-- <a href="https://doi.org/10.5281/zenodo.11582199">Documentation</a> --</b><br><br><u>Name</u>: P. W. Meinel<br><u>musiXplora-ID</u>: m2293<br><u>musiXplora-URI</u>: <a href="https://musixplora.de/mxp/m2293">https://musixplora.de/mxp/m2293</a><br><u>Gender</u>: m<br><u>First Mentioned</u>: 1957<br><u>Sectors</u>: Instrumentenbau<br><u>Professions (Musical)</u>: Geigenbauer<br><u>Other Places of Activity</u>: Zürich<br><br><br><u>Arbeitsumfeld:</u><br><table><tbody><tr><th>Group</th><th>Role</th><th>Name</th><th>mXp-ID</th></tr><tr><td>KollegInnen</td><td>Kollege</td><td>Gustav Senn</td><td><a href="https://musixplora.de/mxp/s4581">s4581</a></td></tr></tbody></table><br><u>Titel/Medien:</u><br><table><tbody><tr><th>Role</th><th>Sigel</th><th>Title</th><th>mXp-ID</th></tr><tr><td>Related</td><td>Kirsch 2023</td><td>The Long Lives of Old Lutes. The Cultural and Material History of the Veneration of Old Musical Instruments. Dissertation der Universität Leipzig 2022. . Erschienen als Enhanced Publication. LM-enc Band 2. Schriftenreihe der Forschungsstelle DIGITAL ORGANOLOGY am Musikinstrumentenmuseum der Universität Leipzig. herausgegeben von Josef Focht</td><td><a href="https://musixplora.de/mxp/5034090">5034090</a></td></tr></tbody></table><br><u>Ereignisse:</u><br><table><tbody><tr><th>Role</th><th>Sigel</th><th>Title</th><th>mXp-ID</th></tr><tr><td>Reparateur</td><td></td><td>Reparatur</td><td><a href="https://musixplora.de/mxp/6017691">6017691</a></td></tr></tbody></table><br><br><u>Changelog</u>:<br> - v0.0.1: Initial Upload.<br>
P. Köhler (k3064)
<b>-- <a href="https://doi.org/10.5281/zenodo.11582199">Documentation</a> --</b><br><br><u>Name</u>: P. Köhler<br><u>musiXplora-ID</u>: k3064<br><u>musiXplora-URI</u>: <a href="https://musixplora.de/mxp/k3064">https://musixplora.de/mxp/k3064</a><br><u>Gender</u>: m<br><u>First Mentioned</u>: 1906<br><u>Last Mentioned</u>: 1907<br><u>Sectors</u>: Automatenbau<br><u>Professions (Historical)</u>: Patentinhaber<br><u>Other Places of Activity</u>: Liegnitz<br><br><br><u>Tradition:</u><br><table><tbody><tr><th>Group</th><th>Role</th><th>Name</th><th>mXp-ID</th></tr><tr><td>Interessensbereich</td><td>Interessensbereich</td><td>Archiv Norbert Kottenstede</td><td><a href="https://musixplora.de/mxp/3080538">3080538</a></td></tr></tbody></table><br><u>Patentrecht:</u><br><table><tbody><tr><th>Group</th><th>Role</th><th>Name</th><th>mXp-ID</th></tr><tr><td>ErfinderInnen</td><td>Erfinder</td><td>Patentschrift. Mechanisches Musikwerk mit Stimmenkamm. Anmeldedatum</td><td><a href="https://musixplora.de/mxp/5080843">5080843</a></td></tr><tr><td>ErfinderInnen</td><td>Erfinder</td><td>Patentschrift. Mechanisches Musikwerk mit Stimmenkamm. Anmeldedatum</td><td><a href="https://musixplora.de/mxp/5080844">5080844</a></td></tr><tr><td>ErfinderInnen</td><td>Erfinder</td><td>Patentschrift. Vorrichtung zum Einstellen der Geschwindigkeit mechanischer Musikwerke. Anmeldedatum</td><td><a href="https://musixplora.de/mxp/5081470">5081470</a></td></tr></tbody></table><br><u>Begriffe:</u><br><table><tbody><tr></tr><tr><td>Related</td><td></td><td>Anregungsmechanismus</td><td>2003654</td></tr></tbody></table><br><u>Titel/Medien:</u><br><table><tbody><tr><th>Role</th><th>Sigel</th><th>Title</th><th>mXp-ID</th></tr><tr><td>Related</td><td>Patent DRP 190327</td><td>Patentschrift. Mechanisches Musikwerk mit Stimmenkamm. Anmeldedatum</td><td><a href="https://musixplora.de/mxp/5080843">5080843</a></td></tr><tr><td>Related</td><td>Patent DRP 192801</td><td>Patentschrift. Mechanisches Musikwerk mit Stimmenkamm. Anmeldedatum</td><td><a href="https://musixplora.de/mxp/5080844">5080844</a></td></tr></tbody></table><br><br><u>Changelog</u>:<br> - v0.0.1: Initial Upload.<br>
IODP Expedition 360 P-wave velocity caliper (section/discrete)
P-wave velocity data were measured on undisturbed section halves (JRSO-defined x-axis) and/or discrete cube and cylinder samples (x, y, or z-axis) using pairs of piezoelectric transducers mounted on a caliper system. Report includes P-wave velocity in x, y, and/or z-direction, caliper separation, traveltime between transucers, and first arrival picks.
IODP Expedition 397 P-wave velocity caliper (section/discrete)
P-wave velocity data were measured on undisturbed section halves (JRSO-defined x-axis) and/or discrete cube and cylinder samples (x, y, or z-axis) using pairs of piezoelectric transducers mounted on a caliper system. Report includes P-wave velocity in x, y, and/or z-direction, caliper separation, traveltime between transucers, and first arrival picks.
IODP Expedition 397 Portable X-ray fluorescence (p-XRF)
Energy-Dispersive X-Ray Fluorescence (ED-XRF) is a rapid, non-destructive technique for determining qualitative and quantitative changes in chemical composition. Aboard the JOIDES Resolution, pXRF is used for measuring points on section halves, rock pieces, and sometimes powders. Spots are typically irradiated at multiple conditions to excite and measure a wide range of elements. The peak intensity changes (we do not provide concentrations) are then used to help recognize and define major chemo-stratigraphic units without the need for destructive sampling.
GPP: Site-scale and global model outputs from P-model used for Stocker et al. (2019) Nature Geosci.
<p><strong>Data from article Stocker et al. (in review) *Nature Geosci.*</strong></p> <p>The datasets provided here include:</p> <ul> <li>Site-level GPP model results from the P-model (Wang et al., 2017)</li> <li>Model outputs from global simulations with the P-model (Wang et al., 2017) as implemented for the study by Stocker et al. (2019)</li> </ul> <p>This data may be used to partly reproduce results presented in Stocker et al. (2019) <em>Nature Geosci</em>. "Partly" because we used data for our analysis that was not open access but was confidentially shared with us. This includes remote sensing-based GPP estimates from the BESS and VPM models. Other open access data that was used for the analysis may not be distributed under this DOI. This includes FLUXNET 2015 data and MODIS data.</p> <p>For reproducing results of Stocker et al. (2019) regarding site-scale evaluations, run for example the scripts `plot_bias_all.R` and `plot_bias_problem.R`, available from <a href="https://github.com/stineb/soilm_global">Github</a> or <a href="http://doi.org/10.5281/zenodo.1423328">Zenodo</a>, using CSV files provided here (see comments in scripts). For more insight, including analysis of global simulation outputs, see RMarkdown file `si_soilm_global.Rmd`. This renders the supplementary information PDF document provided along with Stocker et al. (2019), which is available also on <a href="http://rpubs.com/stineb/si_soilm_global2">RPubs</a>.</p> <p>The present datasets are prepared by script `prepare_data_openaccess.R ` on <a href="https://github.com/stineb/soilm_global">Github</a> or <a href="https://zenodo.org/record/1286966#.W6TFipMzbUI">Zenodo</a>.</p> <p><strong>Data description</strong></p> <p><em>Site-level data</em></p> <p>Data is provided as CSV files:</p> <ul> <li>`gpp_daily_fluxnet_stocker18natgeo.csv`: Daily data for full time series (not including MODIS GPP)</li> <li>`gpp_8daily_fluxnet_stocker18natgeo.csv`: Data aggregated to 8-day periods corresponding to MODIS dates (including MODIS GPP)</li> <li>`gpp_alg_daily_fluxnet_stocker18natgeo.csv`: Data filtered to periods with substantial soil moisture effects ("fLUE droughts" following Stocker et al. (2018a))</li> <li>`gpp_alg_8daily_fluxnet_stocker18natgeo.csv`: Data aggregated to 8-day periods and filtered to periods with substantial soil moisture effects.</li> </ul> <p>Each column is a variable with the following name and units (not all variables are available in all files):</p> <ul> <li>`site_id`: FLUXNET site ID </li> <li>`date`: Date of measurement, units: YYYY-MM-DD</li> <li>`gpp_pmodel` and `gpp_modis`: Simulated GPP from the P-model and MODIS (see Stocker et al. (2018b), Methods, RS models), units: g C m-2 d-1 (mean across 8 day periods in respective files)</li> <li>`aet_splash`: Simulated actual evapotranspiration from the SPLASH model (Davis et al., 2017), units: mm d-1</li> <li>`pet_splash`: Simulated potential evapotranspiration from the SPLASH model (Davis et al., 2017), units: mm d-1</li> <li>`soilm_splash`: Soil moisture simulated by the SPLASH model (Davis et al., 2017), normalised to vary between zero and one at the maximum water holding capacity, unitless.</li> <li>`flue`: fLUE estimate from Stocker et al. (2018). Estimates soil moisture stress on light use efficiency from flux data, unitless.</li> <li>`beta_a`, `beta_b`, and `beta_c`: Empirical soil moisture stress, used as multiplier to simulated GPP as described in Stocker et al. (2018b), unitless.</li> </ul> <p><em>Global P-model simulation outputs</em></p> <p>GPP and soil moisture output is provided as NetCDF files for simulations s0, and s1b (see Stocker et al. (2018b)). All meta information is provided therein. Files for simulation s1b are names as follows (for outputs from other simulations replace s1b with other simulation name). The fraction of each gridcell covered by land (not open water or ice) is given by separate file `s1b_fapar3g_v2_global.fland.nc`.</p> <ul> <li>`s1b_fapar3g_v2_global.d.gpp.nc`: Daily GPP from simulation s1b.</li> <li>`s1b_fapar3g_v2_global.d.wcont.nc`: Daily soil moisture from simulation s1b (is identical in other simulations, therefore not provided.)</li> </ul> <p>Due to limited total file size allowed for uploads to Zenodo, only outputs from s1b are provided here. Other outputs may be obtained upon request addressed to benjamin.stocker@gmail.com. </p> <p><strong>References</strong></p> <p>Davis, T. W. et al. Simple process-led algorithms for simulating habitats (SPLASH v.1.0): robust indices of radiation, evapotranspiration and plant-available moisture. Geoscientific Model Development 10, 689–708 (2017).<br> Hufkens, K. khufkens/gee_subset: Google Earth Engine subset script & library. (2017). doi:10.5281/zenodo.833789Running, S. W. et al. A Continuous Satellite-Derived Measure of Global Terrestrial Primary Production. Bioscience 54, 547–560 (2004).<br> Stocker, B. et al., Quantifying soil moisture impacts on light use efficiency across biomes, New Phytologist, doi: 10.1111/nph.15123 (2018a).<br> Stocker, B. et al., Satellite monitoring underestimates the impact of drought on terrestrial primary productivity, Nature Geoscience (2019).<br> Wang, H. et al. Towards a universal model for carbon dioxide uptake by plants. Nat Plants 3, 734–741 (2017).<br> </p>
Herbarium specimen image of Stipa leiophylla P. A. Smirn., part of the collection of Botanic Garden and Botanical Museum Berlin
Part of a training dataset of scanned herbarium specimens. The data paper and a summary landing page will be published on Zenodo as it gets published.<br><br>Content of this deposition:<br><br>- A JSON-LD datafile listing the label data associated with this herbarium specimen. The Darwin and Dublin Core data standards are used for most values.<br>- A JPEG image file of the scanned herbarium sheet.<br>- A lossless TIFF image from which the JPEG image has been derived.
Herbarium specimen image of Stipa anisotricha P. A. Smirn., part of the collection of Botanic Garden and Botanical Museum Berlin
Part of a training dataset of scanned herbarium specimens. The data paper and a summary landing page will be published on Zenodo as it gets published.<br><br>Content of this deposition:<br><br>- A JSON-LD datafile listing the label data associated with this herbarium specimen. The Darwin and Dublin Core data standards are used for most values.<br>- A JPEG image file of the scanned herbarium sheet.<br>- A lossless TIFF image from which the JPEG image has been derived.
Relate-estimated coalescence rates, allele ages, and selection p-values for the 1000 Genomes Project
<p><strong>Overview</strong></p> <p>Coalescence rates, allele ages, and p-values for evidence of positive selection calculated for 2478 samples of the 1000 Genomes Project using Relate.</p> <p>We estimated the joint genealogy of all 1000 GP populations and then extracted the embedded genealogy for each population.<br> For the genealogy of each population, we jointly estimated the population size history and branch lengths. <br> Variants segregating in more than one population therefore have correlated but different allele ages in each population.</p> <p>Please refer to <a href="https://www.nature.com/articles/s41588-019-0484-x">Speidel et al. Nature Genetics (2019)</a> for more details or email leo.speidel@outlook.com for any queries.</p> <p><strong>Coalescence rates</strong></p> <p>The zipped directory coalescence_rates.zip contains coalescence rates for 26 populations in the 1000 Genomes Project data set.</p> <ul> <li>The .coal files show the haploid coalescence rates, please refer to the <a href="https://myersgroup.github.io/relate/modules.html#PopulationSizeScript_FileFormats">Relate documentation</a> for the file format.</li> <li>The popsize.RData file is an R data frame storing the diploid population sizes (0.5/coalescence rate) calculated using the .coal files. The columns of this data frame, named "pop_size", are <ul> <li>gens_ago: Time in generations at which epoch starts. (To get years from generations, we multiply by 28.)</li> <li>population_size: Diploid population size in this epoch.</li> <li>population: Name of population </li> <li>region: Name of region (AFR, AMR, EAS, EUR, SAS)</li> </ul> </li> </ul> <p><strong>Allele ages and selection p-values</strong></p> <p>The zipped directories allele_ages_*.zip contain R data frames for each 1000GP population storing allele ages and selection p-values.<br> Please note that only mutations that segregate in the population and map to a unique branch in the Relate-estimated marginal trees are included. Selection p-values are only provided for mutations of DAF > 2 that pass quality filters (see Speidel et al., 2019). </p> <p>To get an age estimate for a neutral mutation, use 0.5*(lower_age + upper_age). To get years from generations, we multiply by 28.</p> <p>The columns of these data frames, named "allele_ages", are</p> <ul> <li>CHR: chromosome index</li> <li>BP: base-pair position (GRCh37)</li> <li>ID: id of SNP</li> <li>lower_age: Age in generations of coalescence event at the lower end of the branch onto which the mutation maps</li> <li>upper_age: Age in generations of coalescence event at the upper end of the branch onto which the mutation maps</li> <li>ancestral/derived: Ancestral/derived allele</li> <li>upstream: Upstream (5') allele</li> <li>downstream: Downstream (3') allele</li> <li>DAF: Derived-allele frequency</li> <li>pvalue: log10 p-value for selection evidence</li> </ul>
Teleseismic P-wave Tomography Beneath the Pantanal, Paraná and Chaco-Paraná Basins, SE South America: Delimiting Lithospheric Blocks of the SW Gondwana Assemblage.
<p>Tomographic data set for different depths (CSV-files with Longitude, Latitude anda Velocity Perturbation in percentage), Interpreted limit of the São Francisco Paleocontinent and the Abstract for the paper "Teleseismic P-wave Tomography Beneath the Pantanal, Paraná and Chaco-Paraná Basins, SE South America: Delimiting Lithospheric Blocks of the SW Gondwana Assemblage." submitted to Journal of Geophysical Research: Solid Earth.</p>
Delimiting the Neoproterozoic São Francisco Paleocontinental Block with P-wave travel-time tomography
<p>Tomographic data set for different depths (CSV-files with Longitude, Latitude anda Velocity Perturbation in percentage), Interpreted limit of the São Francisco Paleocontinent and the Abstract for the paper "Delimiting the Neoproterozoic São Francisco paleocontinental block with P-wave travel-time tomography" accepted by Geophysical Journal International.</p>
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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.