Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
15,520
datasets available to search
ShareScore release 0.9.0
Dataset results
15,520 results for “r”
R. Langlotz (l1619)
<b>-- <a href="https://doi.org/10.5281/zenodo.11582199">Documentation</a> --</b><br><br><u>Name</u>: R. Langlotz<br><u>musiXplora-ID</u>: l1619<br><u>musiXplora-URI</u>: <a href="https://musixplora.de/mxp/l1619">https://musixplora.de/mxp/l1619</a><br><u>Gender</u>: m<br><u>Date of Birth</u>: 1900<br><u>Place of Birth</u>: Undefined<br><u>First Mentioned</u>: 1930<br><u>Last Mentioned</u>: 1934<br><u>Sectors</u>: Instrumentenbau<br><u>Professions (Historical)</u>: Inhaber einer Firma für mechanische Musikwerke<br><u>Professions (Musical)</u>: Instrumentenbauer<br><u>Professions (Non-Musical)</u>: Unternehmer<br><u>Main Place of Activity</u>: Leipzig<br><br><br><u>Begriffe:</u><br><table><tbody><tr></tr><tr><td>Related</td><td></td><td>Musikautomat</td><td>2001669</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>HSM 2009</td><td>Dier Hersteller von selbst spielenden Musikinstrumenten aus Leipzig von 1876 bis 1930. Datenbank. Gemeinschaftsprojekt des Museums für Musikinstrumente der Universität Leipzig mit der Gesellschaft für Selbstspielende Musikinstrumente</td><td><a href="https://musixplora.de/mxp/5002026">5002026</a></td></tr><tr><td>Related</td><td>Heise 2018a</td><td>Leipzig als Zentrum des Musikautomatenbaus von 1880 bis 1930</td><td><a href="https://musixplora.de/mxp/5002052">5002052</a></td></tr></tbody></table><br><br><u>Changelog</u>:<br> - v0.0.1: Initial Upload.<br>
Engelbert R. Kaltenbacher (k3160)
<b>-- <a href="https://doi.org/10.5281/zenodo.11582199">Documentation</a> --</b><br><br><u>Name</u>: Engelbert R. Kaltenbacher<br><u>musiXplora-ID</u>: k3160<br><u>musiXplora-URI</u>: <a href="https://musixplora.de/mxp/k3160">https://musixplora.de/mxp/k3160</a><br><u>Gender</u>: m<br><u>First Mentioned</u>: 1908<br><u>Last Mentioned</u>: 1917<br><u>Sectors</u>: Handel, Instrumentenbau<br><u>Professions (Historical)</u>: Musikinstrumenten- und Musikalienhändler<br><u>Professions (Musical)</u>: Musikalienhändler<br><u>Other Places of Activity</u>: Steyr<br><br><br><br><u>Changelog</u>:<br> - v0.0.1: Initial Upload.<br>
Bernhard R. Kiessig (k2990)
<b>-- <a href="https://doi.org/10.5281/zenodo.11582199">Documentation</a> --</b><br><br><u>Name</u>: Bernhard R. Kiessig<br><u>musiXplora-ID</u>: k2990<br><u>musiXplora-URI</u>: <a href="https://musixplora.de/mxp/k2990">https://musixplora.de/mxp/k2990</a><br><u>Gender</u>: m<br><u>First Mentioned</u>: 1911<br><u>Sectors</u>: Instrumentenbau<br><u>Professions (Historical)</u>: Patentinhaber<br><u>Other Places of Activity</u>: Chicago<br><br><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. Keyed Zither. Anmeldedatum</td><td><a href="https://musixplora.de/mxp/5080490">5080490</a></td></tr></tbody></table><br><u>Begriffe:</u><br><table><tbody><tr></tr><tr><td>Related</td><td></td><td>Zither</td><td>2001457</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 US 1015896</td><td>Patentschrift. Keyed Zither. Anmeldedatum</td><td><a href="https://musixplora.de/mxp/5080490">5080490</a></td></tr></tbody></table><br><br><u>Changelog</u>:<br> - v0.0.1: Initial Upload.<br>
Stefan R. Hackl (h3220)
<b>-- <a href="https://doi.org/10.5281/zenodo.11582199">Documentation</a> --</b><br><br><u>Name</u>: Stefan R. Hackl<br><u>musiXplora-ID</u>: h3220<br><u>musiXplora-URI</u>: <a href="https://musixplora.de/mxp/h3220">https://musixplora.de/mxp/h3220</a><br><u>Gender</u>: m<br><u>Date of Birth</u>: 03 June 1954<br><u>Place of Birth</u>: Sillian<br><u>First Mentioned</u>: 1979<br><u>Sectors</u>: Alte Musik, Hochschule, Kammermusik, Musikforschung<br><u>Professions (Musical)</u>: Autor, Bearbeiter, Gitarrenlehrer, Gitarrist, Herausgeber<br><u>Professions (Non-Musical)</u>: Professor<br><u>Other Places of Activity</u>: Innsbruck, Salzburg, Wien<br><br><br><u>Persönlicher Umkreis:</u><br><table><tbody><tr><th>Group</th><th>Role</th><th>Name</th><th>mXp-ID</th></tr><tr><td>Netzwerk</td><td>Netzwerkpartner</td><td>Erik Pierre Hofmann</td><td><a href="https://musixplora.de/mxp/h3868">h3868</a></td></tr></tbody></table><br><u>Ereignisse:</u><br><table><tbody><tr></tr><tr><td>Related</td><td></td><td>Workshop</td><td>6003439</td></tr></tbody></table><br><br><u>Changelog</u>:<br> - v0.0.1: Initial Upload.<br>
R. Gündel (g2495)
<b>-- <a href="https://doi.org/10.5281/zenodo.11582199">Documentation</a> --</b><br><br><u>Name</u>: R. Gündel<br><u>musiXplora-ID</u>: g2495<br><u>musiXplora-URI</u>: <a href="https://musixplora.de/mxp/g2495">https://musixplora.de/mxp/g2495</a><br><u>Gender</u>: m<br><u>First Mentioned</u>: 1877<br><u>Sectors</u>: Harmonikabau<br><u>Professions (Historical)</u>: Patentinhaber<br><u>Professions (Musical)</u>: Handzuginstrumentenbauer<br><u>Other Places of Activity</u>: Klingenthal<br><br><br><br><u>Changelog</u>:<br> - v0.0.1: Initial Upload.<br>
G. R. Gerbert (g2360)
<b>-- <a href="https://doi.org/10.5281/zenodo.11582199">Documentation</a> --</b><br><br><u>Name</u>: G. R. Gerbert<br><u>musiXplora-ID</u>: g2360<br><u>musiXplora-URI</u>: <a href="https://musixplora.de/mxp/g2360">https://musixplora.de/mxp/g2360</a><br><u>Gender</u>: m<br><u>First Mentioned</u>: 1909<br><u>Last Mentioned</u>: 1912<br><u>Sectors</u>: Instrumentenbau<br><u>Professions (Historical)</u>: Zithermacher<br><u>Professions (Musical)</u>: Zupfinstrumentenbauer<br><u>Other Places of Activity</u>: Plauen<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>Henkel 2013</td><td>Zitherbauer und -händler nach den Weltadreßbüchern von Paul de Wit. Unveröffentliches Ms.</td><td><a href="https://musixplora.de/mxp/5001813">5001813</a></td></tr></tbody></table><br><br><u>Changelog</u>:<br> - v0.0.1: Initial Upload.<br>
Joseph R. Green (g2214)
<b>-- <a href="https://doi.org/10.5281/zenodo.11582199">Documentation</a> --</b><br><br><u>Name</u>: Joseph R. Green<br><u>musiXplora-ID</u>: g2214<br><u>musiXplora-URI</u>: <a href="https://musixplora.de/mxp/g2214">https://musixplora.de/mxp/g2214</a><br><u>Gender</u>: m<br><u>First Mentioned</u>: 1916<br><u>Sectors</u>: Instrumentenbau<br><u>Professions (Historical)</u>: Patentinhaber<br><u>Other Places of Activity</u>: Wakefield<br><br><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. Keyed Zither. Anmeldedatum</td><td><a href="https://musixplora.de/mxp/5080477">5080477</a></td></tr></tbody></table><br><u>Begriffe:</u><br><table><tbody><tr></tr><tr><td>Related</td><td></td><td>Zither</td><td>2001457</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 US 1299704</td><td>Patentschrift. Keyed Zither. Anmeldedatum</td><td><a href="https://musixplora.de/mxp/5080477">5080477</a></td></tr></tbody></table><br><br><u>Changelog</u>:<br> - v0.0.1: Initial Upload.<br>
Data and R script for 'Evaluating the cyclic ratio schedule as an assay of feeding behaviour in the European starling (Sturnus vulgaris)'
<p>Data files and R script for Dunn et al. "Evaluating the cyclic ratio schedule as an assay of feeding behaviour in the European starling (<em>Sturnus vulgaris</em>)"</p> <p>Includes a single R script that produces all the analyses in the paper. The script makes use of three different .csv data files.</p>
R-code for publication: Ensembles of Ensembles: Combining the Predictions from Multiple Machine Learning Methods
<p>This is the R-code as well as the underlying data needed to reproduce the results of the springer book chapter: "Ensembles of Ensembles: Combining the Predictions from Multiple Machine Learning Methods"</p> <p>For more information contact: dlieske@mta.ca</p> <p> </p>
Body size convergence in Sturnira - R Code and supporting data
<p>R Code and supporting data for: Co-occurrence and character convergence in two Neotropical bats. Journal of Mammalogy</p>
Herbarium specimen image of Libinhania fontinalis A. G. Mill., R. Sommerer & N. Kilian, 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 Dioscorea delicata R. Knuth, 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 Dioscorea delicata R. Knuth, 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.
SLAFEEL: R scripts and reformatted data analyzed by Alamil et al. (2019)
<p>SLAFEEL: Statistical Learning Approach For Estimating Epidemiological Links from deep sequencing data</p> <p>This archive contains R scripts for running analyses proposed by Alamil et al. (2019; Inferring epidemiological links from deep sequencing data: a statistical learning approach for human, animal and plant diseases), namely<br> - functions.R that contains R functions required for computations,<br> - influenza.R, ebola.R and potyvirus.R where the analyses are implemented for each case study, and<br> - influenza-format-genomic-data.R giving an example of how to format data to be used in the statistical learning approach.</p> <p>This archive also contains the reformatted data analyzed by Alamil et al. (2019). The datasets that are provided concern swine influenza virus (reformatted from Murcia et al., 2012), Ebola virus (reformatted from Gire et al., 2014) and a wild salsify potyvirus. Two rds files are provided for swine influenza, the first one for the naive chain, the second one for the vaccinated chain. Ebola rds files are compressed into the archive ebolaRDS.zip. rds files can be loaded in the R statistical software with the command "readRDS(filename)", which returns a list. The list contains a "readme" item describing the contents of the list, as well as a "host.table" item providing metadata about host units and a "set.of.sequences" item providing sequencing data formatted in numeric matrices.</p> <p>Murcia PR, Hughes J, Battista P, Lloyd L, Baillie GJ, Ramirez-Gonzalez RH, et al. Evolution of an Eurasian avian-like influenza virus in naive and vaccinated pigs. PLoS Pathogens. 2012;8(5):e1002730.</p> <p>Gire SK, Goba A, Andersen KG, Sealfon RS, Park DJ, Kanneh L, et al. Genomic surveillance elucidates Ebola virus origin and transmission during the 2014 outbreak. Science. 2014;345:1369–1372</p> <p> </p> <p>Funded by the ANR - Project name: SMITID (2016-2020) - Grant number: ANR-16-CE35-0006</p>
Partial bibliography on J.E.Eielson and R. Deustua in Italy.
<p>Partial bibliography about J.E.Eielson and R. Deustua in Italy. LATILMA studied the relationship between Italy and Peru and this led to a focus on the work of some poets belonging to the “Generation of 50” who lived in Italy. These include J.E.Eielson and R.Deustua, about whom I have written two papers that are currently being evaluated.</p> <p>This bibliography includes information about the corpus, secondary bibliography but also theoretical and methodological references cited in the aforementioned articles, not exclusively related to the corpus.</p>
R scripts for analyzing LiDAR data to assess forest canopy structure and perform Principal Component Analysis (PCA) on derived metrics
<p>This repository contains R scripts for analyzing LiDAR data to assess forest canopy structure and perform Principal Component Analysis (PCA) on spectral and LiDAR-derived metrics. The scripts cover LiDAR data processing, canopy height model (CHM) generation, calculation of forest canopy metrics, and PCA analysis.</p>
Dataset for flavour tagging R&D
<p>This is a dataset for flavour tagging R&D.</p> <p>It consists of b-jets, c-jets and light-jets in equal number and equal distributions of transverse momentum, pseudo-rapidity and track multiplicity. </p> <p>The jets are sampled from ttbar events produced from proton-proton collisions at 14 TeV, using Pythia8. An ATLAS-like detector is parameterized using Delphes. The anti-kT R=0.4 algorithm with calorimeter inputs is used to define the jets.</p> <p>Jets are labelled as b-jets if there is a b-hadron within dR<0.3 of the jet, otherwise as c-jets if there is a c-hadron within dR<0.3, otherwise as light-jets. </p> <p>Tracks are associated to jets if they are within dR<0.4. If this condition holds for more than one jet, only the closest one is considered. Tracks are represented by their perigee parameters (d0, z0, pt, phi, cotan(theta)), which are smeared according to track pt and track eta dependent uncertainties.</p> <p>This dataset is heavily based on the <a href="../records/4044628" target="_blank" rel="noopener">Secondary Vertex Finding in Jets Dataset</a> and we thank J. Shlomi for the code and input.</p>
Ferry et al. 2024 - Prey that is attractive but not repelled by predators suggests an asymmetric investment in the encounter-avoid-escape sequence. - R Code and Datasets
<p>R code for formating data and running PAMMs for all different combinations of predator-prey.</p> <p>Data of camera trap observation.</p> <p>Data of environmental variable associated to camera trap sites.</p>
Dataset: Mask R-CNN Based C. Elegans Detection with a DIY Microscope
<p>The dataset consists of images of C. elegans in Petri Dish that were captured at a frequency of 1 Hz at 3280 × 2464 pixels via a Raspberry Pi based DIY Microscope. Further details of the recording setup and the dataset can be found in the corresponding article.</p> <p>Up on use, please cite the following article <a href="https://doi.org/10.3390/bios11080257">https://doi.org/10.3390/bios11080257</a> such as:</p> <p>Fudickar, S.; Nustede, E.J.; Dreyer, E.; Bornhorst, J. Mask R-CNN Based C. Elegans Detection with a DIY Microscope. <em>Biosensors</em> <strong>2021</strong>, <em>11</em>, 257. https://doi.org/10.3390/bios11080257</p> <p> </p> <p><br> </p>
Data and R-scripts for "Land-use trajectories for sustainable land system transformations: identifying leverage points in a global biodiversity hotspot" (V2)
<p>Sustainable land system transformations are necessary to avert biodiversity and climate collapse. However, it remains unclear where entry points for transformations exist in complex land systems. Here, we conceptualize land systems along land-use trajectories, which allows us to identify and evaluate leverage points; i.e., entry points on the trajectory where targeted interventions have particular leverage to influence land-use decisions. We apply this framework in the biodiversity hotspot Madagascar. In the Northeast, smallholder agriculture results in a land-use trajectory originating in old-growth forests, spanning forest fragments, and reaching shifting hill rice cultivation and vanilla agroforests. Integrating interdisciplinary empirical data on seven taxa, five ecosystem services, and three measures of agricultural productivity, we assess trade-offs and co-benefits of land-use decisions at three leverage points along the trajectory. These trade-offs and co-benefits differ between leverage points: two leverage points are situated at the conversion of old-growth forests and forest fragments to shifting cultivation and agroforestry, resulting in considerable trade-offs, especially between endemic biodiversity and agricultural productivity. Here, interventions enabling smallholders to conserve forests are necessary. This is urgent since ongoing forest loss threatens to eliminate these leverage points due to path-dependency. The third leverage point allows for the restoration of land under shifting cultivation through vanilla agroforests and offers co-benefits between restoration goals and agricultural productivity. The co-occurring leverage points highlight that conservation and restoration are simultaneously necessary. Methodologically, the framework shows how leverage points can be identified, evaluated, and harnessed for land system transformations under the consideration of path-dependency along trajectories.</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.