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.
40,091
datasets available to search
ShareScore release 0.9.0
Dataset results
40,091 results for “Record”
Supplementary dataset for "Magnetic recording fidelity of basalts through 3D nanotomography, 2024"
<p>This repository contains raw data and scripts needed to reproduce the results presented in "Magnetic recording fidelity of basalts through 3D nanotomography, 2024". These include slice-and-view image stacks (<a href="../api/records/11369780/draft/files/VesuviusSnVTiffStack.tif/content" target="_blank" rel="noopener noreferrer">VesuviusSnVTiffStack.tif</a> for the Vesuvius dataset and <a href="../api/records/11369780/draft/files/HeklaSnVTiffStack.tif/content" target="_blank" rel="noopener noreferrer">HeklaSnVTiffStack.tif</a> for the Hekla Volume) for the samples discussed in the manuscript. These were used to generate 3D meshes of magnetite grains in the volume using the methodology described in the manuscript. <a href="../api/records/11369780/draft/files/Individual%20Meshes%20Vesuvius.7z/content" target="_blank" rel="noopener noreferrer">Individual Meshes Vesuvius.7z</a> and <a href="../api/records/11369780/draft/files/Individual%20Meshes%20Hekla.7z/content" target="_blank" rel="noopener noreferrer">Individual Meshes Hekla.7z</a> contain the individual 3D mesh .pat files, while <a href="../api/records/11369780/draft/files/Hekla%20Full%20Volume.stl/content" target="_blank" rel="noopener noreferrer">Hekla Full Volume.stl</a> and <a href="../api/records/11369780/draft/files/Vesuvius%20Full%20Volume.stl/content" target="_blank" rel="noopener noreferrer">Vesuvius Full Volume.stl</a> show full 3D representations of the studied volumes. The individual mesh files can be used as geometry inputs for micromagnetic simulations using the MERRILL suite . Example MERRILL scripts are also included, with <a href="../api/records/11369780/draft/files/LEM_StateMerrilScript.merrill/content" target="_blank" rel="noopener noreferrer">LEM_StateMerrilScript.merrill</a> showing an example of a script used to determine the local energy minimum (LEM) state of a magnetic grain and <a href="../api/records/11369780/draft/files/NEB_Merril_Script.merrill/content" target="_blank" rel="noopener noreferrer">NEB_Merril_Script.merrill</a> showing a script to determine the energy barriers between LEM states used in the calculation of relaxation times. Finally ".csv" files containing grain metrics are also included for both of the studied samples ( <a href="../api/records/11369780/draft/files/HeklaGrainMetrics.csv/content" target="_blank" rel="noopener noreferrer">HeklaGrainMetrics.csv</a> and <a href="../api/records/11369780/draft/files/VesuviusGrainMetrics.csv/content" target="_blank" rel="noopener noreferrer">VesuviusGrainMetrics.csv</a> ). These contain information on the size of the individual particles, their morphology, the LEM states they support and the energy barries from the NEB calculation.</p>
Recordings Q&A and matchmaking sessions for call for proposals 'Open Science Infrastructure'
<p>On Thursday, July 11, and Tuesday, July 16, 2024, Open Science NL organised two online Q&A sessions combined with a matchmaking opportunity for the Open Science NL call 'Open Science Infrastructure'.</p> <p>These are the two recordings of the two Q&A sessions. The Open Science NL team has drafted a Frequently Asked Questions document addressing all the questions that came up during the meetings. This is added as a seperate text-file (PDF). The slides presented during both meetings are shared as well as a PDF.</p> <p>For more information about the call and how to apply, please go to: <a href="https://www.openscience.nl/en/calls/open-science-infrastructure" target="_blank" rel="noopener">https://www.openscience.nl/en/calls/open-science-infrastructure</a></p>
Ground truth recordings for validation of spike sorting algorithms
<p><strong>Ground-truth recordings for validation of spike sorting algorithms</strong><br> </p> <p>This datasets is composed of simultaneous loose patch recordings of Ganglion Cells in mice retina, combined with dense extra-cellular recordings (252 channels). The details of the dataset can be found here <a href="https://elifesciences.org/articles/34518">https://elifesciences.org/articles/34518</a></p> <p><strong>Probe layout</strong></p> <p>The probe layout can be found as mea_256.prb. This is a 16x16 Multi Electrode Array with 30um spacing. Only 252 channels are extra-cellular signals, and the 4 corners are devoted to triggers/sync/juxta.</p> <p><strong>Struture of the data</strong></p> <p>In this dataset, you will find several individual recordings, at max 5min long each (but please do not hesitate to contact us if interested by longer recordings). The extra-cellular data are saved as 16bits unsigned integer, with a variable offset at the beginning of the file. The value of this offset is given, for every datafile, in the additional text file (padding value (see following for more details)). The files have already been filtered with a Butterworth filter of order 3 with a cut-off frequency at 100Hz</p> <p><strong>Structure of a given dataset</strong></p> <p>Please read carefully the following to understand how to load and perform spike sorting with the data. In every .tar.gz file, you will find:</p> <ul> <li> a jpg image, displaying a small chunk of the juxta-cellular signal (top left), with detected peaks and threshold. The extra-cellular spike triggered waveform, across all channels, for the juxta-spike times (top right). In the bottom, you can see the juxta-cellular spikes, for all the detected triggers (left), and on the right the voltage on the channel where the Spike Triggered Average of the extra-cellular waveform is peaking the most.</li> <li>a file .juxta.raw, as float32, with the juxta-cellular trace at 20kHz, no data offset</li> <li>a file .raw, as uint16, with the extra-cellular signals recorded for 256 channels at a sampling rate of 20kHZ. In fact, only 252 channels are extra-cellular signals, the 4 corners of the arrays are devoted to juxta-cellular and sync signals (see probe layout mea_256.prb)</li> <li>a file .triggers.npy containing the spike times of the juxta-cellular spikes, detected using a threshold of k.MAD. The exact value of k can vary on a per dataset basis, and is written in the .txt file (threshold)</li> <li>a .txt file describing some information for a given dataset, such as the threshold value used to detect the spikes, the channel in the raw file where the juxta-cellular signal is located, the minimal value of the peak for the STA (and on which channel it is located), and the header size to read the raw data</li> <li>a .params file, if you want to analyze the data with SpyKING CIRCUS</li> </ul> <p><strong>How to load the raw data in numpy</strong></p> <pre><code class="language-python">#Using the offset value from the txt file, we can load the data with memmap arrays data=numpy.memmap('mydata.raw', dtype='uint16', offset=offset, mode='r') data=data.reshape(len(data)//256, 256) #Then for example, to display the first second of channel 0 one_channel = data[:20000, 0].astype('float32') #If we want to center data around 0 one_channel -= 2**15 - 1 #And if we want to display data in micro volt, we must use the gain factor of 0.1042 provided in the header one_channel *= 0.1042</code></pre> <p> </p>
Data and materials for Wallace et al (2018) Self-report versus electronic medical record recorded healthcare utilisation in older community-dwelling adults: comparison of two prospective cohort studies v1.2
<p>This comprises the data and materials for the study: Wallace E, Moriarty F, McGarrigle C, Smith SM, Kenny RA, Fahey T. (2018) Self-report versus electronic medical record recorded healthcare utilisation in older community-dwelling adults: Comparison of two prospective cohort studies. PLOS ONE 13(10): e0206201. <a href="https://doi.org/10.1371/journal.pone.0206201">https://doi.org/10.1371/journal.pone.0206201</a></p> <p>The anonymised TILDA dataset is publicly available to researchers who meet the criteria for access, at no monetary cost, from the Irish Social Science Data Archive (ISSDA) at University College Dublin (<a href="https://emea01.safelinks.protection.outlook.com/?url=http%3A%2F%2Fwww.ucd.ie%2Fissda%2Fdata%2Ftilda%2F&data=02%7C01%7C%7Ccc2345c4f5c543bbcddc08d5fd28200c%7C607041e7a8124670bd3030f9db210f06%7C0%7C0%7C636693271128219875&sdata=%2Fcochi1RuRtYSUa5sF9uA%2BjOOoNYIg7DPpk0mZl5D2s%3D&reserved=0">http://www.ucd.ie/issda/data/tilda/</a>) and the Interuniversity Consortium for Political and Social Research (ICPSR) at the University of Michigan (<a href="https://emea01.safelinks.protection.outlook.com/?url=http%3A%2F%2Fwww.icpsr.umich.edu%2Ficpsrweb%2FICPSR%2Fstudies%2F34315&data=02%7C01%7C%7Ccc2345c4f5c543bbcddc08d5fd28200c%7C607041e7a8124670bd3030f9db210f06%7C0%7C0%7C636693271128219875&sdata=7LHSSqU8xotACMsalpAjVrV5m95DlapgQViyr4P%2FsXY%3D&reserved=0">http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/34315</a>). For the CPCR cohort, no provision for data sharing was included in the original ethical approval and participant consent form. As a minimal data set necessary to replicate the present study could not be deidentified due to the large number of demographic variables considered, a synthetic version of the study dataset was produced using the synthpop package in R: <a href="https://emea01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fcran.r-project.org%2Fweb%2Fpackages%2Fsynthpop%2Findex.html&data=02%7C01%7C%7Ccc2345c4f5c543bbcddc08d5fd28200c%7C607041e7a8124670bd3030f9db210f06%7C0%7C0%7C636693271128229884&sdata=j3If%2FNe%2F1eGsGAt9hyg3ICMqmLec4aOrjRVKppaRSFU%3D&reserved=0">https://cran.r-project.org/web/packages/synthpop/index.html</a>. This dataset and the analytical code for the present study are presented here. Code developed on the synthetic data can be sent to frankmoriarty@rcsi.ie or <a href="mailto:enquiries.cpcr@rcsi.ie">enquiries.cpcr@rcsi.ie</a> to be run on the original data.</p> <p>v1.2 includes a more detailed description of how the dataset was synthesised.</p>
ISO TR 21965 Information and documentation -- Records management in enterprise architecture - Archi tool project file
<p>This file is a project file, in XML format, of the freeware too Archi (version 4.2.0) modeling the ArchiMate diagrams present in the ISO/DTR 21965:2019.</p> <p>Archi tool is freely available from https://www.archimatetool.com</p> <p>The purpose of the ISO/TR 21965:2019 is to provide a common reference for Records managers (or information managers in general) and Enterprise architects about requirements for records processes and systems. The goal is to establish the Records manager as a key stakeholder in Enterprise Architecture, by expressing the related Records Management Viewpoint.</p> <p>This viewpoint makes use of the concepts of “concerns” and “system of concerns” as defined in ISO/IEC/IEEE 42010:2011, and of the concepts of “stakeholders”, “viewpoint, “view” and “model” as also defined coherently in that standard and in the main Enterprise Architecture references of TOGAF and ArchiMate. With reference to ArchiMate, the main scope of this viewpoint is the Motivational aspect and the layers Strategy and Business, with minor considerations for the layers of Application and Implementation. The Open Group Architecture Framework (TOGAF) is used to inform how this Records Management Viewpoint relates to the Architecture Development Method (ADM).</p> <p>The edition of the file is work of the author, but the intelectual content of the file is the resulting of the work of the ISO working group responsible by the production of the Technical Report: ISO/TC 46/SC 11/WG 14 - Records requirements in Enterprise Architecture</p> <p> </p>
WWV Centennial N1IRO 5 MHz Recording
<p>Festival of Frequency Measurement 1 October 2019</p> <p>N1IRO, William McGrath</p> <p>43.935242, -72.657349</p> <p>Start time 22:15 UTC<br> End Fed 130ft Dipole pointed SE (SW max reception)</p> <p>Kenwood TS-2000 receiver</p> <p>GPSDO reference</p> <p>FLDIGI recording as instructed.</p> <p>24 hour recording of 5 MHz at station N1IRO, Randolph, VT.</p> <p> </p>
3D Microphone Array Recording Comparison (3D-MARCo)
<p>3D-MARCo is an open-access database of 3D sound recordings of musical performances and room impulse responses. The recordings were made in the St. Paul’s concert hall in Huddersfield, UK using a total of 71 microphones simultaneously. The main microphone arrays included in the database comprise PCMA-3D, OCT-3D, 2L-Cube, Decca Cubioid, First-order Ambisonics (FOA), Higher-order Ambisonics (HOA) and Hamasaki Square with height. In addition, ORTF, side/height, Voice of God and floor channels as well as a dummy head and spot microphones are included. The sound sources recorded are string quartet, piano trio, piano solo, organ, a cappella group, various single sources and room impulse responses of a virtual ensemble with 13 source positions captured by all of the microphones. 3D-MARCo would be useful for spatial audio research, recording education, critical ear training, etc.</p>
Maintenance of Wakefulness Test (MWT) recordings
<p>Each file contains a MWT trial (first trial after noon) recording of a patient. The data contains occipital EEG and EOG data. All signals were bandpass filtered between 0.5-45 Hz.</p> <p>In each file, the data is structured as the following:</p> <ul> <li>fs: sampling rate.</li> <li>eeg_O1: EEG channel O1-M2 where M2 is the mastoid electrode on the opposite side.</li> <li>eeg_O2: EEG channel O2-M1 where M1 is the mastoid electrode on the opposite side.</li> <li>E1 and E2: EOG channels for left and right eye, both referenced to M1.</li> <li>labels_O1 and labels_O2: arrays with expert scoring (0-wake, 1-MSE, 2-MSEc, 3-ED, according to the BERN scoring criteria published in Hertig-Godeschalk et al. doi:10.1093/sleep/zsz163.); length of the arrays is the same as for other signals, i.e. there is a label per sample.</li> <li>prec: amount of signal samples per label, in this case it is 1. variables prec and half_prec were not used.</li> <li>num_Labels: length of the signal in samples.</li> </ul> <p>Further descriptions, details, and outcomes can be found in the related studies. The published studies which are based on this data and address the borderland between wakefulness and sleep, i.e. microsleep episodes, are listed under related/alternative identifiers.</p>
Trait records sample: Carnivora traits from traitdb (ZIP of CSV files)
This file is part of an API design process and is placed here for internal review. It contains trait records for Carnivora, and neighboring files.<p></p>This is going to similar to the previous set of CSV files, but with fewer tables and fewer columns, since it is derived from the neo4j traitdb instead of the whole back-end SQL database
Trait records sample: Carnivora traits (JSON tarball)
This file is part of an API design process and is placed here for internal review. It contains trait records for Carnivora, and neighboring files.<p></p>This is a gzipped tar file containing a single .json file
Trait records sample: Carnivora traits tarball
This file is part of an API design process and is placed here for internal review. It contains trait records for Carnivora, and neighboring files.<p></p>This tarball contains CSV files for pages, traits, and metadata.
Vertebrate traits: Vertebrate trait records, 5 November 2018
<p>This zip archive records all of the current trait records in EOL__s graph database, for vertebrate taxa. It contains four .csv files: pages.csv listing taxa and their names, traits.csv with trait records, metadata.csv with auxiliary records referred to by trait records, and terms.csv listing all of the relationship URIs in the database. For a description of the schema, see</p> <p>https://github.com/EOL/eol_website/blob/master/doc/trait-schema.md</p> <p>See dataset description. Generated 5 November 2018 from the live graph database. Uploaded 10 December 2018.</p>
CITES species records: cites_taxa.tar.gz
<p></p>https://eol-jira.bibalex.org/browse/DATA-1790<p></p>CITES (the Convention on International Trade in Endangered Species of Wild Fauna and Flora) is an international agreement between governments. Its aim is to ensure that international trade in specimens of wild animals and plants does not threaten their survival. <p></p>https://www.cites.org
5405 MHz SigMF baseband recording of RCM-2 (Radarsat Constellation) using PlutoPlus SDR and four log periodic array (LPA) antennas
<p>This dataset contains a recording of the <a href="https://www.asc-csa.gc.ca/eng/satellites/radarsat/technical-features/radarsat-comparison.asp">RCM-2</a> (<a href="https://en.wikipedia.org/wiki/RADARSAT_Constellation">Radarsat Constellation</a>) satellite as it passed over Berkeley, California. The recording was made on 2024-08-13 and is about 15 seconds long, containing acquisition of signal pulses and loss of signal at the tail end of the recording. The dataset is stored in SigMF format. The data files are compressed with xz to reduce their size. The IQ sample rate is 20.0 Msps and the center frequency is 5405 MHz.</p> <p>The linear antenna array used to record contained four HT5 antennas, labeled as: "HT5 antenna UWB log-periodic antenna 1300MHz-10GHz". These four antennas were spaced 21 cm apart. The input from these four antennas was combined with a SP-TX-4B splitter/combiner using equal lengths of LMR400 coax, then amplified using an LNA labeled as "RF AMP 04A: TQP3M9037 0.1-6GHz". The LNA was powered via a +5 volt bias-tee. A "Pluto+" or Pluto Plus SDR was used to sample, with SatDump software. </p> <p> </p>
Daily river flow records for the River Lochy (Mucomir Cut) at Gairlochy, Scotland
<p>Daily river flows of the River Lochy (Mucomir Cut) at Gairlochy. Approx grid reference NN183840</p> <p>Data collected by Capt. W. N. McClean via his organisation River Flow Records.</p> <p>Record spans the period 1935-10-01 to 1944-09-30 with no gaps.</p> <p>Units cubic feet per second. Based on a calibration developed from curret meter measurements applied to stage measurements taken once per day.</p> <p>We acknowledge the sponsorship of Scottish Hydro-Electric and the Scottish Environment Protection Agency in suporting the costs of creating digital time series.</p> <p>The catchment is in many respects natural, but Loch Lochy has the Caledonian Canal running through it, completed in 1822.</p> <p>Subsequent to McClean's colletion of these records, the flow of the River Lochy via the Mucomir Cut was harnessed by the North of Scotland Hydro-Electric Board by the construction of the Mucomir Power Station, commissioned in 1962.</p> <p>At the time of writing (2024), the Scottish Environment Protection Agency (SEPA) operate gauges in the Lochy system at Gairlochy and Camisky.</p>
Revised marine fossil record of the Mediterranean before and after the Messinian Salinity Crisis
<p>This is a unified and revised marine fossil record of the Mediterranean covering the Tortonian stage, the pre-evaporitic Messinian and the Zanclean stage and encompassing 23032 occurrences of calcareous nannoplankton, dinoflagellates, foraminifera, corals, ostracods, bryozoans, echinoids, mollusks, fishes, and marine mammals. It consists of four files in .csv format: 1) 'MessinianDB' contains the fossil occurrences; 2) 'coord' has the list of fossiliferous localities with their coordinates and the groups of organisms reported from each one; 3) 'DBrefs' contains the full citations of the references in the database; 4) 'corals' contains the list of coral genera in the database, indicating whether or not they include zooxanthellate (z-corals) or azooxanthellate (az-corals) species, or both. In the latter case, we further indicate if the species found in the database should be considered z- or az-corals, based on the accompanying fauna. </p>
Photographic record of land degradation and resilience in Dogu'a Tembien after the shock of the Tigray war (northern Ethiopia)
<p><span>Following two years of combat, blockade, and power outage, the Tigray war in northern Ethiopia has had a substantial negative impact on the environment (2020–2022). This photographic dataset, part of a rare study carried out by the same research team before and after a war, compares 26-year legacy data on land degradation, with post-war observations at 56 sites in the Dogu'a Tembien district of Tigray (13°39'N, 39°30'E), at elevations ranging from 1600 to 2800 meters.</span></p> <p><span>With 30 years of environmental research experience in Tigray, we remained as a lone research team after the start of the war and collected ground data at previous research sites during the war. This culminated in international partners returning to the Dogu'a Tembien district in 2023 after they had been absent for four years due to coronavirus restrictions and the Tigray War. We visited 56 previously investigated sites—which have been documented in 45 prior publications—through transect walks, where we mostly made qualitative observations and discussions regarding the processes of land degradation and recovery. This included degradation processes like sheet and rill erosion</span><span>, gully erosion</span><span>, landslides</span><span></span><span>, deforestation</span><span>, as well as the most common rehabilitation approaches, i.e. stone bunds</span><span>, check dams</span><span>, exclosures</span><span>, improved hydrological cycle</span><span>, and integrated catchment management</span><span>. Local farmers and other village residents, along with experts who either reside in or have a good understanding of the research area, participated in the group observations.</span></p>
Cows, Pigs and People: Example data of cubic insulin from three different species recorded on Diamond Light Source I24
<p>Data collected at 100K on 10th May 2024 at I24 (Diamond Light Source) to investigate automatic grouping of datasets containing very subtle differences. Crystals grown by Cicely Tam following standard techniques with coordination from Felicity Bertram. For each of bovine, porcine, and human insulin, 10 degree wedges are included. Insulin from these three sources differ by 1-3 amino acids, but are otherwise structurally isomorphous. </p> <p>The purpose of the data upload is to make data available for tutorials using the DIALS toolchain (see e.g. examples at https://github.com/graeme-winter/dials_tutorials) however data are available for all purposes without limitation. </p> <p>Key:</p> <p>CIX - bovine insulin</p> <p>PIX - porcine insulin</p> <p>X - human insulin</p>
Eye image data with gaze labels recorded using custom video-oculography hardware at 120Hz
<p>The repository of eye image data with corresponding gaze labels collected from 40 subjects. The preview contains a collage of random image samples, one per subject. </p> <p>All recorded subjects gave informed consent under an experimental protocol approved by the Institutional Research Board of Texas State University (approval code 2018044) and their data were anonymized prior to public release.</p> <p>The data were recorded using the custom video-oculography (VOG) desktop hardware setup at 120Hz. The full description of this eye-tracking system's capabilities is provided at https://doi.org/10.48550/arXiv.1904.07361.</p> <p>This VOG set contains recordings of the random oblique saccades task. It is comprised of 174 on-screen fixation targets that densely cover the range of ±20.51° horizontally and ±16.7° vertically (in degrees of visual angle). More detail on the presented stimuli can be found at https://doi.org/10.1145/3379156.3391370.</p> <p>The data were also used in Dmytro Katrychuk's Ph.D. thesis "Generating Realistic Eye Images to Evaluate Photosensor Oculography Eye-Tracking for Portable Headsets" (https://hdl.handle.net/10877/19437); with the release for public use in the upcoming publication "An appearance-based gaze estimation as a benchmark for eye image data generation methods" accepted to MDPI Journal of Applied Sciences. </p> <p>Each .zip archive represents a recording from one subject, which includes:</p> <ul> <li>Video of the close eye capture in ".avi" format</li> <li>Calibration data in ".xml" format</li> <li>Gaze data in ".tsv" format</li> <li>On-screen target stimulus position in ".tsv" format</li> </ul> <p>The "src.zip" provides a Python script to unpack each ".avi" video recording to a set of ".png" images. The direct playback of ".avi"s may require special codecs and is not supported. </p> <p>Any additional code will be uploaded to https://github.com/dkatrychuk/psog-eval-diss2023</p> <p>The authors can be contacted at their corresponding emails: Dmytro Katrychuk - d_k139@txstate.edu; Oleg Komogortsev - ok@txstate.edu.</p>
Mammal occurrence records (2024) in the Valparai Plateau and Anamalai Tiger Reserve, Western Ghats, India
<p>This dataset contains Mammal occurrence records (November 2023 - October 2024) in the Valparai Plateau and Anamalai Tiger Reserve, Western Ghats, India. It includes a few occurrence records from other parts of southern India. Occurrence records were gathered in the field by researchers of the Nature Conservation Foundation, India, using a mobile data collection application (EpiCollect5). Suggested citation is:<br>Nature Conservation Foundation (2024). Mammal occurrence records (2024) in the Valparai Plateau and Anamalai Tiger Reserve, Western Ghats, India. Nature Conservation Foundation, India. Dataset, Zenodo. DOI: 10.5281/zenodo.13910696<br> <br><strong>CONTACT #1</strong><br>1. Name: T. R. Shankar Raman <br>2. Work Address: Nature Conservation Foundation, 1311, 12th A Main, Vijayanagar 1st Stage, Mysuru 570017, Karnataka, India<br>3. Work Phone: +91 821 2515601<br>4. Email address: trsr@ncf-india.org <br>5. ORCID: https://orcid.org/0000-0002-1347-3953</p> <p><strong>CONTACT #2</strong><br>1. Name: Divya Mudappa <br>2. Work Address: Nature Conservation Foundation, 1311, 12th A Main, Vijayanagar 1st Stage, Mysuru 570017, Karnataka, India<br>3. Work Phone: +91 821 2515601<br>4. Email address: divya@ncf-india.org <br>5. ORCID: https://orcid.org/0000-0001-9708-4826</p> <p><strong>Keywords: </strong>tropical rainforest, plantations, Anamalai Hills, Western Ghats, animal distribution, mammals </p> <p><br><strong>Geographic Coverage:</strong><br>1. Location/Study Area: Valparai Plateau, Tamil Nadu, India; Anamalai Tiger Reserve, Tamil Nadu, India<br>2. GPS coordinates: Valparai Plateau (10°15'- 10°22'N, 76°52' - 76°59'E); Anamalai Tiger Reserve (10°12' - 10°35'N, 76°49' - 77°24'E)</p> <p><strong>Temporal Coverage:</strong><br>1. Begins: 2023-11-01 (Year, Month, Day)<br>2. Ends: 2024-10-01 (Year, Month, Day)</p> <p>Besides the 00_readMe.txt file containing this information, the dataset includes 23 images (photographs) and two comma-delimited text (csv) files as explained below:<br><strong>1) 01_anamalai-mammals-2024.csv </strong>-- This file has the main mammal occurrence data with relevant and renamed columns derived from the original downloaded csv file from the EpiCollect5 application website.</p> <p><strong>2) 02_nameMatch.csv</strong> -- This file matches the vernacular name as originally recorded with the correct common name and scientific name</p> <p>+23 image files (with ".jpg" file extension)</p> <p><strong>FILES INCLUDED IN DATASET</strong></p> <p><strong>01_anamalai-mammals-2024.csv</strong><br>This file has the main mammal occurrence data with relevant and renamed columns derived from the original downloaded csv file from the EpiCollect5 application website.<br>ec5_uuid: Unique ID for each observation<br>created_at: Automatic time stamp of date and time when record was created on the mobile app<br>uploaded_at: Automatic time stamp of date and time when record was uploaded using the mobile app<br>recordedBy: Name of observer<br>title: Title assigned to each record (composite of date, species, and type of observation)<br>lat_gps: Latitude in decimal degrees N<br>long_gps: Longitude in decimal degrees E<br>accuracy_gps: Horizontal accuracy of GPS location in metres<br>UTM_Northing_gps: Latitude in UTM<br>UTM_Easting_gps: Longitude in UTM<br>UTM_Zone_gps: UTM Zone<br>eventDate: Date in ISO format (yyyy-mm-dd)<br>verbatimEventDate: Date in format originally recorded (dd/mm/yyyy)<br>eventTime: Time of observation<br>vernacularName: Species common name as initially recorded<br>individualCount: Number of individuals observed<br>occurrenceRemarks: type of observation<br>habitat: Habitat type<br>photo: Filename of photo if available (NA otherwise)<br>eventRemarks: Notes or remarks about the observation</p> <p><strong>02_nameMatch.csv</strong><br>This file matches the name as originally recorded with the correct common name and scientific name.<br>vernacularName: Common or English name as initially recorded <br>scientificName: Scientific name of the species</p> <p>+23 image files (.jpg extension)</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.