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.
23,176
datasets available to search
ShareScore release 0.9.0
Dataset results
23,176 results for “notes”
Study of Calabrian Sounding Objects. Interviews and Field Notes - Festa della Pita
<p>This dataset contains the ethnomusicological data concerning the study of traditional sounding objects in Calabria generated for the EU-funded research LoMus - Local Sound for a New Musicality. </p><p> </p><p>LoMus - Local Sound for a New Musicality. Enhancing Musical Participation through a Local Sonic Practice is a research project funded under the Marie Skłodowska Curie Action. LoMus investigates ways of expanding musical participation through the use of sounding objects and contemporary music techniques.</p>
Study of Calabrian Sounding Objects. Field Notes - G. Orlando
<p>This dataset contains the ethnomusicological data concerning the study of traditional sounding objects in Calabria generated for the EU-funded research LoMus - Local Sound for a New Musicality. </p><p> </p><p>LoMus - Local Sound for a New Musicality. Enhancing Musical Participation through a Local Sonic Practice is a research project funded under the Marie Skłodowska Curie Action. LoMus investigates ways of expanding musical participation through the use of sounding objects and contemporary music techniques.</p>
Study of Calabrian Sounding Objects. Interview and Field Notes - G. Guidoccio
<p>This dataset contains the ethnomusicological data concerning the study of traditional sounding objects in Calabria generated for the EU-funded research LoMus - Local Sound for a New Musicality. </p><p> </p><p>LoMus - Local Sound for a New Musicality. Enhancing Musical Participation through a Local Sonic Practice is a research project funded under the Marie Skłodowska Curie Action. LoMus investigates ways of expanding musical participation through the use of sounding objects and contemporary music techniques.</p>
Study of Calabrian Sounding Objects. Field Notes - S. Trunzo
<p>This dataset contains the ethnomusicological data concerning the study of traditional sounding objects in Calabria generated for the EU-funded research LoMus - Local Sound for a New Musicality. </p><p> </p><p>LoMus - Local Sound for a New Musicality. Enhancing Musical Participation through a Local Sonic Practice is a research project funded under the Marie Skłodowska Curie Action. LoMus investigates ways of expanding musical participation through the use of sounding objects and contemporary music techniques.</p>
Study of Calabrian Sounding Objects. Field Notes - S. Mancini
<p>This dataset contains the ethnomusicological data concerning the study of traditional sounding objects in Calabria generated for the EU-funded research LoMus - Local Sound for a New Musicality. </p><p> </p><p>LoMus - Local Sound for a New Musicality. Enhancing Musical Participation through a Local Sonic Practice is a research project funded under the Marie Skłodowska Curie Action. LoMus investigates ways of expanding musical participation through the use of sounding objects and contemporary music techniques.</p>
Study of Calabrian Sounding Objects. Interview and Field Notes - G. Vaccaro
<p>This dataset contains the ethnomusicological data concerning the study of traditional sounding objects in Calabria generated for the EU-funded research LoMus - Local Sound for a New Musicality. </p><p> </p><p>LoMus - Local Sound for a New Musicality. Enhancing Musical Participation through a Local Sonic Practice is a research project funded under the Marie Skłodowska Curie Action. LoMus investigates ways of expanding musical participation through the use of sounding objects and contemporary music techniques.</p>
Study of Calabrian Sounding Objects. Interview and Field Notes - A. Vescio & G. Lucia
<p>This dataset contains the ethnomusicological data concerning the study of traditional sounding objects in Calabria generated for the EU-funded research LoMus - Local Sound for a New Musicality. </p><p> </p><p>LoMus - Local Sound for a New Musicality. Enhancing Musical Participation through a Local Sonic Practice is a research project funded under the Marie Skłodowska Curie Action. LoMus investigates ways of expanding musical participation through the use of sounding objects and contemporary music techniques.</p>
Study of Calabrian Sounding Objects. Interview and Field Notes - A. Trunzo, S. Trunzo and T. Vaccaro
<p>This dataset contains the ethnomusicological data concerning the study of traditional sounding objects in Calabria generated for the EU-funded research LoMus - Local Sound for a New Musicality. </p><p> </p><p>LoMus - Local Sound for a New Musicality. Enhancing Musical Participation through a Local Sonic Practice is a research project funded under the Marie Skłodowska Curie Action. LoMus investigates ways of expanding musical participation through the use of sounding objects and contemporary music techniques.</p>
Study of Calabrian Sounding Objects. Field Notes - E. Ruperto
<p>This dataset contains the ethnomusicological data concerning the study of traditional sounding objects in Calabria generated for the EU-funded research LoMus - Local Sound for a New Musicality. </p><p> </p><p>LoMus - Local Sound for a New Musicality. Enhancing Musical Participation through a Local Sonic Practice is a research project funded under the Marie Skłodowska Curie Action. LoMus investigates ways of expanding musical participation through the use of sounding objects and contemporary music techniques.</p>
Study of Calabrian Sounding Objects. Interview and Field Notes - E. Curcio
<p>This dataset contains the ethnomusicological data concerning the study of traditional sounding objects in Calabria generated for the EU-funded research LoMus - Local Sound for a New Musicality. </p><p> </p><p>LoMus - Local Sound for a New Musicality. Enhancing Musical Participation through a Local Sonic Practice is a research project funded under the Marie Skłodowska Curie Action. LoMus investigates ways of expanding musical participation through the use of sounding objects and contemporary music techniques.</p>
Study of Calabrian Sounding Objects. Interview and Field Notes - C. Macchione
<p>This dataset contains the ethnomusicological data concerning the study of traditional sounding objects in Calabria generated for the EU-funded research LoMus - Local Sound for a New Musicality. </p><p> </p><p>LoMus - Local Sound for a New Musicality. Enhancing Musical Participation through a Local Sonic Practice is a research project funded under the Marie Skłodowska Curie Action. LoMus investigates ways of expanding musical participation through the use of sounding objects and contemporary music techniques.</p>
Study of Calabrian Sounding Objects. Field Notes - D. Mastroianni
<p>This dataset contains the ethnomusicological data concerning the study of traditional sounding objects in Calabria generated for the EU-funded research LoMus - Local Sound for a New Musicality. </p><p> </p><p>LoMus - Local Sound for a New Musicality. Enhancing Musical Participation through a Local Sonic Practice is a research project funded under the Marie Skłodowska Curie Action. LoMus investigates ways of expanding musical participation through the use of sounding objects and contemporary music techniques.</p>
Multi-head CRF classifier for biomedical multi-class Named Entity Recognition on Spanish clinical notes
<p>This contains the merged dataset as described in the work "<strong>Multi-head CRF classifier for biomedical multi-class Named Entity Recognition on Spanish clinical notes"</strong>.</p> <p>This dataset consists of 4 seperate datasets:</p> <ul> <li><a href="../records/8224056" target="_blank" rel="noopener">MedProcNer</a></li> <li><a href="../records/7614764" target="_blank" rel="noopener">DisTEMIST</a></li> <li><a href="../records/4270158" target="_blank" rel="noopener">PharmaCoNER</a></li> <li><a href="../records/10635215" target="_blank" rel="noopener">SympTEMIST</a></li> </ul> <p>The dataset contains two tasks:</p> <p><strong>Task 1:</strong> This task is related to multi-class Named Entity Recognition. This dataset contains 5 possible classes: SYMPTOM, PROCEDURE, DISEASE, CHEMICAL and PROTEIN.</p> <p><strong>Task 2:</strong> This task is related to Named Entity Linking, where each code corresponds to a code within the SNOMED-CT corpus. The exact corpus used can be obtained <a href="https://download.nlm.nih.gov/umls/kss/IHTSDO20190131/SnomedCT_SpanishRelease-es_PRODUCTION_20190430T120000Z.zip" target="_blank" rel="noopener">here</a>. Further for the MedProcNER, SympTEMIST and DisTEMIST datasets, a gazetteer is provided in the original datasets. </p> <p>For more information on the construction of the dataset, aswell as dataloaders, we refer you to our <a href="https://github.com/ieeta-pt/Multi-Head-CRF" target="_blank" rel="noopener">GitHub repository</a>.<br><br>Further this also contains the embeddings from the <a href="https://huggingface.co/cambridgeltl/SapBERT-UMLS-2020AB-all-lang-from-XLMR-large" target="_blank" rel="noopener">SapBERT</a> model.</p> <p><strong>Please, cite:</strong></p> <div> <div> <div> <div> <div> <div> <div> <div> <div> <div> <div> <div> <blockquote> <div>@article{jonker2024a, title = {Multi-head {{CRF}} classifier for biomedical multi-class named entity recognition on {{Spanish}} clinical notes}, author = {Jonker, Richard A. A. and Almeida, Tiago and Antunes, Rui and Almeida, Jo{\~a}o R. and Matos, S{\'e}rgio}, year = {2024}, journal = {Database}, publisher = {Oxford University Press} }</div> </blockquote> <div>Jonker, R. A. A., Almeida, T., Antunes, R., Almeida, J. R., & Matos, S. (2024). Multi-head CRF classifier for biomedical multi-class named entity recognition on Spanish clinical notes. (Submitted.) </div> <div> </div> <div> <p><strong>License</strong></p> <p>This work is licensed under a <a href="http://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution 4.0 International License</a>.</p> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div>
Institutional Dimensions of Restoring Everglades Water Quality -Interview Notes (FCE), September 2014-July 2015
These data were compiled through semi-structured and open-ended interviews as part of the Institutional Dimensions of Restoring Everglades Water Quality research project. The notes represent responses from farmers, agricultural extension agents, state and federal government officials, private water consultants, and nonprofit officials involved in the implementation of the Everglades Forever Act regulations. These mandate that farms in the Everglades Agricultural Area implement best management practices to reduce phosphorus enrichment. Since the regulations started in 1994, water quality has steadily improved. The research sought to explain why the regulations have been effective.
OrchideaSOL: an audio dataset of isolated musical notes, including mutes and extended playing techniques
<p>OrchideaSOL<br> ==========<br> Version 2.0, April 2020.<br> </p> <p> </p> <p>Created By<br> --------------</p> <p>Carmine-Emanuele Cella (1), Daniele Ghisi (1), Vincent Lostanlen (2), Fabien Lévy (3), Joshua Fineberg (4), Yan Maresz (5)<br> <br> (1): UC Berkeley<br> (2): New York University<br> (3): Columbia University<br> (4): Boston University<br> (5): Conservatoire de Paris</p> <p> </p> <p>Description<br> ---------------</p> <p><br> OrchideaSOL is a dataset of 13265 samples, each containing a single musical note from one of 14 different instruments:</p> <ol> <li>Bass Tuba</li> <li>French Horn</li> <li>Trombone</li> <li>Trumpet in C</li> <li>Accordion</li> <li>Contrabass</li> <li>Violin</li> <li>Viola</li> <li>Violoncello</li> <li>Bassoon</li> <li>Clarinet in B-flat</li> <li>Flute</li> <li>Oboe</li> <li>Alto Saxophone</li> </ol> <p> </p> <p>These sounds were originally recorded at Ircam in Paris (France) between 1996 and 1999, as part of a larger project named Studio On Line (SOL). One asset of OrchideaSOL is that it contains many combinations of mutes and extended playing techniques.<br> <br> The OrchideaSOL audio data can be used for creative purposes insofar at the use complies with the Ircam Forum License. Please visit: https://forum.ircam.fr/legal/contrat-de-licence-forum-ircam/</p> <p><br> The OrchideaSOL metadata can be used for creative purposes insofar at the use complies with the Creative Commons Attribution 4.0 International license (see below).<br> <br> OrchideaSOL can be used for education and research purposes. In particular, it can be employed as a dataset for training and/or evaluating music information retrieval (MIR) systems, for tasks such as instrument recognition, playing technique recognition, or fundamental frequency estimation. For this purpose, we provide an official 5-fold split of OrchideaSOL. This split has been carefully balanced in terms of instrumentation, pitch range, and dynamics. For the sake of research reproducibility, we encourage users of OrchideaSOL to adopt this split and report their results in terms of average performance across folds.</p> <p> </p> <p>Data Files<br> --------------</p> <p>OrchideaSOL contains 13265 audio clips as WAV files, sampled at 44.1 kHz, with a single channel (mono), at a bit depth of 16. This is equivalent to the audio quality of a compact disc. Audio clips vary in duration between two and ten seconds.</p> <p>Every audio file has a file path of the form:<br> <FAMILY>/<INSTRUMENT><+MUTE>/<TECHNIQUE>/<INSTR><+M>-<TECH>-<PITCH>-<DYN>-<INSTANCE>-<MISC>.wav</p> <p><br> where:</p> <ul> <li><FAMILY> corresponds to the instrument family: "Brass", "Keyboards" (includes accordion), "Strings", and "Winds" (i.e., woodwinds).</li> <li><INSTRUMENT> is the full name of the instrument.</li> <li><+MUTE> is the type of mute being used, such as "wah", "harmon", "piombo", or "sordina". If there is no mute, this field is absent.</li> <li><TECHNIQUE> is the type of playing technique.</li> <li><INSTR> is the abbreviation of the instrument.</li> <li><+M> is the abbreviation of the type of mute, if applicable.</li> <li><TECH> is the abbreviation of playing technique.</li> <li><PITCH> denotes the pitch of the musical note. This pitch is encoded in the American standard pitch notation: pitch class (C means "do") followed by pitch octave. According to this convention, A4 has a fundamental frequency of 440 Hz.</li> <li><DYN> denotes the intensity dynamics, ranked from pp (pianissimo) to ff (fortissimo).</li> <li><INSTANCE> contains additional information, when applicable. For example, for bowed string instruments, the same pitch may sometimes be achieved on different positions and different strings, resulting in small timbre differences. In this case the label "1c", "2c", "3c", or "4c" denotes the string which is being bowed. (The letter c originates from the word "corde", which means string in French.) By convention, the first string is the one with the highest pitch when played as an open string. Furthermore, on some wind instruments, the same note was played multiple times, e.g. at multiple durations. In this case, we use the label "alt1", "alt2", etc. to denote alternative instances of the note. If none of these tags apply, the <INSTANCE> field becomes "N", which stands for "Not Applicable".</li> <li><MISC> contains additional information, if applicable. In OrchideaSOL, some pitches were never recorded, and thus missing from the chromatic scale. In this case, the <MISC> tag contains a letter "R", to denote the fact that the corresponding WAV file has been obtained by transforming a different audio clip via some digital frequency transposition (similar to Auto-Tune). The letter "R" stands for "resampled". Furthermore, some pitches were slightly out of tune in comparison with the A440 tuning standard. Again, we applied some digital frequency transposition to correct them and put them exactly in tune. The amount of frequency transposition is measured in "cents" of an equal-tempered semitone. The letter "T" stands for "tuned". Because we employed a high-fidelity algorithm for frequency transposition, and because the amount of digital frequency transposition is small, the timbre of pitch-corrected notes remains faithful to the instrument. If none of these tags apply, the <MISC> field becomes "N", which stands for "natural"; in this case, the note is distributed exactly as it was recorded in the studio.</li> </ul> <p>For example, "Strings/Violin+sordina/tremolo/Vn+S-trem-A4-mf-4c-T13d_R200d.wav" corresponds to:</p> <ul> <li>a violin sound;</li> <li>equipped with a sordina mute;</li> <li>played in the tremolo playing technique;</li> <li>at pitch A4 (440 Hz);</li> <li>with mezzoforte dynamics;</li> <li>on the fourth string (i.e. the lowest);</li> <li>resampled from a B4 by lowering pitch by a semitone, i.e. 100 cents (R100d)</li> <li>lowered by 13 cents (T22d) to match the A440 tuning standard.</li> </ul> <p> </p> <p>The audio data for OrchideaSOL is not directly downloadable on Zenodo. Rather, it can be downloaded for free after registering to the Ircam forum. Please visit: https://forum.ircam.fr/</p> <p> </p> <p>Metadata File<br> -------------------</p> <p>The OrchideaSOL_metadata.csv file contains 13265 rows, one for each audio clip. It can be opened by a text editor or by a spreadsheet software application. It contains 13 columns:</p> <ol> <li>Path to the WAV file, in UNIX filesystem format. For Windows compatibility, replace the slashes ("/") by backslashes ("\"). Ex: "Strings/Violin+sordina/tremolo/Vn+S-trem-A4-mf-4c-T13d_R200d.wav"</li> <li>Fold ID. Either equal to 0, 1, 2, 3, or 4.</li> <li>Family. Ex: "Brass"</li> <li>Instrument abbreviation. Ex: "BTb"</li> <li>Instrument name in full. Ex: "Bass Tuba"</li> <li>Technique abbreviation.</li> <li>Technique name in full.</li> <li>Pitch. Ex: "A#1"</li> <li>Pitch ID in MIDI format. Ex: 34. Integer in the range 0-127.</li> <li>Dynamics. Ex: "ff".</li> <li>Dynamics ID. Integer. pp maps to 0 and ff maps to 4. The higher, the louder.</li> <li>Instance ID. Integer in the range 0-4</li> <li>String ID. Equal to 1, 2, 3, 4, or empty if not applicable.</li> <li>"Needed digital retuning". TRUE if the file has been pitch-shifted with digital audio effects; FALSE otherwise.</li> </ol> <p> </p> <p>Conditions of Use<br> ------------------------</p> <p>OrchideaSOL was created in 2020 by Carmine-Emanuele Cella, Daniele Ghisi, Vincent Lostanlen, Fabien Lévy, Joshua Fineberg, and Yan Maresz.</p> <p>OrchideaSOL is a derivative of SOL. We wish to thank Hugues Vinet, Greg Beller, and all coordinators of the Ircam Forum for their authorization to upload the metadata of OrchideaSOL to Zenodo.</p> <p>The audio samples in OrchideaSOL are offered free of charge under the Ircam Forum License. Please visit: https://forum.ircam.fr/legal/contrat-de-licence-forum-ircam/</p> <p>The dataset and its contents are made available on an "as is" basis and without warranties of any kind, including without limitation satisfactory quality and conformity, merchantability, fitness for a particular purpose, accuracy or completeness, or absence of errors. Subject to any liability that may not be excluded or limited by law, the authors are not liable for, and expressly exclude all liability for, loss or damage however and whenever caused to anyone by any use of the OrchideaSOL dataset or any part of it.</p> <p> </p> <p>Versions<br> -----------<br> 1.0 was released on February 24th, 2020.<br> 2.0 was released on April 4th, 2020. It fixes a bug in the instance IDs of oboe sounds in the "blow without reed" technique.</p> <p> </p> <p>Feedback<br> -------------</p> <p>Please help us improve OrchideaSOL by sending your feedback to:<br> carmine.cella@berkeley.edu</p> <p>For issues regarding the metadata encoding, the five-fold split, or the OrchideaSOL module in mirdata, please write to:<br> vincent.lostanlen@nyu.edu</p> <p>In case of a problem, please include as many details as possible.</p>
Supplementary data for the manuscript "Technical note: Estimating aqueous solubilities and activity coefficients of mono- and α,ω-dicarboxylic acids using COSMO-RS-DARE"
<p>.cosmo files (BP-TZVPD-FINE) of dicarboxylic acids (C2-C8), dimers and monohydrates of mono- (C1-C6) and dicarboxylic acids, and water dimer.</p>
Disclosure UK Methodological Notes Data 2015, 2017, 2019
<p>Data extracted from Disclosure UK methodological notes for the years 2015, 2017 and 2019 for companies who made payment disclosures on Disclosure UK in the years 2015, 2017 and 2019. Data extracted relates to guidance from the The Prescription Medicines Code of Practice Authority and requirements in the code of conduct developed by the Association of the British Pharmaceutical Industry.</p>
Samples used for MeStanG Technical Note Publication in Biology MDPI
<p>Samples for MeStanG analysis as a resource for High throughput sequencing standard datasets generation for bioinformatic methods evaluation and validation.</p> <ul> <li>Sample_101 - Metagenomic Bacterial-only Sample simulated using MeStanG</li> <li>Samples_2.tar - 15 Samples resembling Host/Pathogen wheat plant sequencing outputs simulated using MeStanG</li> <li>Sample_301 - Metagenomic Bacterial-only Sample simulated using NanoSim</li> <li>Samples_4.tar - 15 Samples resembling Host/Pathogen wheat plant sequencing outputs simulated using NanoSim</li> <li>Sample_501.tar - 20 replicates for Pathogen absolute abundance 500</li> <li>Sample_502.tar - 20 replicates for Pathogen absolute abundance 100</li> <li>Sample_503.tar - 20 replicates for Pathogen absolute abundance 50</li> <li>Sample_504.tar - 20 replicates for Pathogen absolute abundance 10</li> <li>Sample_505.tar - 20 replicates for Pathogen absolute abundance 5</li> </ul> <p>All files are compressed in gzip format and all sequences in fasta format</p>
Evidence for Early Mesozoic diversification of Hypsimetopidae Nicholls, 1943 (Isopoda), with the description of a new genus from Andhra Pradesh and notes on threats to Indian cave environments
<p>Datafiles and scripts for https://doi.org/10.1093/jcbiol/ruac052</p> <p>Evidence for Early Mesozoic diversification of Hypsimetopidae Nicholls, 1943 (Isopoda), with the description of a new genus from Andhra Pradesh and notes on threats to Indian cave environments</p> <p>George D. F. Wilson1,2 and Shabuddin Shaik 3</p> <p>1 Saugatuck Natural History Laboratory, Saugatuck, MI, USA; gdfw@snhlab.com</p> <p>3 Department of Life Science, Central University of Karnataka, Kadaganchi, 585 367, India; shabu.biologist@gmail.com</p> <p>2 Corresponding author: George D. F. Wilson, P. O. Box 714, Saugatuck, Michigan 49453, USA. e-mail: gdfw@snhlab.com </p> <p>File List:</p> <p>Phreatoi20220525.nex <br> Mesquite data file that contains all data from the DELTA taxonomic database that were used for data presentation, organization, analysis, as well as trees resulting from all analyses. For Mesquite version 3.70; Maddison WP, Maddison DR. 2021. Mesquite: a modular system for evolutionary analysis. Version 3.6 University of British Columbia & Oregon State University., http://www.mesquiteproject.org/ <br> <br> The DELTA database is still being edited and changed so it is not included here<br> For DELTA, see website https://www.delta-intkey.com/<br> publications:<br> Dallwitz MJ. 1980. A general system for coding taxonomic descriptions. TAXON 29: 41-46.<br> Dallwitz MJ, Paine TA, Zurcher EJ. 2000. User's guide to the DELTA system: a general system for processing taxonomic descriptions. CSIRO: Canberra.</p> <p> <br> Phreatoi20220525.tnt - the TNT data file generated by Mesquite<br> Analyses were performed using TNT-64bit, version 1.5, Goloboff PA, Catalano SA. 2016. TNT version 1.5, including a full implementation of phylogenetic morphometrics. Cladistics 32: 221-238.<br> Note: TNT counts zero as a number so the first tree, taxon or k paramter is 0, the second is 1, the third is 2 and so on </p> <p>TNT Scripts were written or modified for this project by George D. F. Wilson. They were run using the console in Ubuntu 20.04 but should work using the console version of TNT in other operating systems available from http://www.lillo.org.ar/phylogeny/tnt/. I recommend using the console because it allows you do to multiple analysis with one script. </p> <p>Each script has a banner that explains what is being done. If this fails to appear the first time, enter n and restart the script</p> <p>These are easily modified in a text editor to change the analysis<br> -- tnt.run : standard run of tnt. <br> -- tnt-jacK.run : symmetric jackknife analysis with concavity parameter, select file, concavity and prob parameter <br> -- piwe_rangeK.run : A range of concavity parameters are selected at the beginning and run sequentially<br> -- setk_trans.run : Modified from setk.run by Salvador Arias, Instituto Miguel Lillo, San Miguel de Tucuman, Argentina<br> -- aquickie_bt1000.run : Modified from the standard script distributed with TNT with more iterations of jackknifing<br> <br> If you are new to using TNT, see the information available on http://www.lillo.org.ar/phylogeny/tnt/ as well as these articles:<br> Goloboff PA. 1993. Estimating character weights during tree search. Cladistics 9: 83-91.<br> Goloboff PA. 1997. Self-Weighted Optimization: Tree Searches and Character State Reconstructions under Implied Transformation Costs. Cladistics 13: 225-245.<br> Goloboff PA, Carpenter JM, Arias JS, Esquivel DRM. 2008. Weighting against homoplasy improves phylogenetic analysis of morphological data sets. Cladistics 24: 758-773.<br> Goloboff PA, Catalano SA. 2016. TNT version 1.5, including a full implementation of phylogenetic morphometrics. Cladistics 32: 221-238.<br> Goloboff PA, Farris JS. 2001. Methods for Quick Consensus Estimation. Cladistics 17: S26-S34.<br> Goloboff PA, Farris JS, Källersjö M, Oxelman B, Ramírez MJ, Szumik CA. 2003. Improvements to resampling measures of group support. Cladistics 19: 324-332.<br> Goloboff PA, Farris JS, Nixon KC. 2008. TNT, a free program for phylogenetic analysis. Cladistics 24: 774-786.</p>
Data for the "Technical Note: assessing predicted cirrus ice properties between two deterministic ice formation parameterizations" manuscript
<p>This repository contains the post-processed ECHAM-HAM data files for comparing KM21_GCM and ML20 of "Technical Note: assessing predicted cirrus ice properties between two deterministic ice formation parameterizations" study.</p> <p>The files are all netCDF4.</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.