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 “recordings”
Extracellular recordings from the locust, Schistocerca americana, olfactory pathway
<p>This depository contains raw data from 14 experiments performed on adult locusts. The data are contained in HDF5 files (http://www.hdfgroup.org/HDF5/). They are stored as compressed integers coded on 16 bits as they came out of the A/D card. Recording details can be found in Pouzat, Mazor and Laurent (2002) Using noise signature to optimize spike-sorting and to assess neuronal classification quality. <em>Journal of Neuroscience Methods</em> <strong>122</strong>: 43-57 (a pre-print version is available: http://xtof.perso.math.cnrs.fr/pdf/Pouzat+:2002.pdf). Each data file is subdivided in Groups corresponding the type of acquisition performed: one or several epochs of spontaneous activity recording; repetitive stimulation with a given odor. Each group is made of one (if say a single epoch of 60 seconds of spontaneous recording was made) or several (if say 100 stimulation with Citral were made) (sub-)groups containing the data of all the channels that were recorded during that epoch. Each of these sub-groups is made of 4 to 16 data sets: 1 dimensional arrays containing the raw data recorded from one of the 16 channels of our probe (made of 4 tetrodes) during a single acquisition epoch. All channels were sampled at 15 kHz. Each data file has attributes (metadata) README and LabBook. The first, README contains a shortened version of the present text; the second, LabBook contains a transcript of the lab book corresponding to the experiment. Most groups have a log_file_content attribute. This attribute contains a copy a text file that was automatically generated during data acquisition. Some recording details can be found there as well as the precise time and data of each recorded epoch. The data were kept for 14 years on CDs and about a third of the recordings got lost because of CD corruption! What's left still make 15 GBytes of data after compression: a substantial amount. This CD corruption explains why some groups don't have a log_file_content attribute: it was on a corrupted CD.</p> <p>Of the 14 experiments, 12 contain antennal lobe (the first olfactory relay of insects) recordings, 1 contains antennal lobe and alpha lobe recordings and 1 contains only alpha lobe recordings. Here the alpha lobe location should be taken with a little bit of caution since the latter is not as easy to locate as the antennal lobe in the locust. All data files start with the locust prefix, followed by the experiment year, month and date, like locust20000214.hdf5 an experiment performed on February 14 2000. Due to file size restriction on Zenodo, two experiments are split into two data files: locust20010124b_part1.hdf5 and locust20010124b_part2.hdf5 as well as locust20010214_part1.hdf5 and locust20010214_part2.hdf5. On two dates, two different experiments were performed: locust20010124a.hdf5 and locust20010124b_part1.hdf5 / locust20010124b_part2.hdf5 as well as locust20010208a.hdf5 and locust20010208b.hdf5. When a stimulation was applied, the following code is used: Odor name / Number of stimulation / Inter-stimulation interval / duration before the odor pulse / odor pulse duration / post pulse duration [odor dilution when several dilutions were used]. All times are in seconds.</p> <p>A very brief description at the group level of the files content follows (see the LabBook attribute of each individual file for details):</p> <ol> <li><strong>locust20000214.hdf5</strong>: <ul> <li>Citral / 70 / 30 / 3 / 0.5 / 6.5</li> <li>Cherry / 120 / 30 / 3 / 0.5 / 6.5</li> <li>Octaldehyde / 60 / 30 / 3 / 0.5 / 6.5</li> </ul> </li> <li><strong>locust20000421.hdf5</strong>: <ul> <li>Spontaneous: 60 seconds of spontaneous activity</li> <li>1-Hexanol / 30 / 10 / 3 / 1 / 5.5</li> <li>Hexanal / 25 / 10 / 3 / 1 / 5.5</li> <li>Cis-3-hexen-1-ol / 25 / 10 / 3 / 1 / 5.5</li> <li>Trans-2-hexen-1-ol / 25 / 10 / 3 / 1 / 5.5</li> <li>1-Hexen-3-ol / 25 / 10 / 3 / 1 / 5.5</li> <li>3-Pentanone / 25 / 10 / 3 / 1 / 5.5</li> <li>1-Heptanol / 25 / 10 / 3 / 1 / 5.5</li> <li>1-Octanol / 25 / 10 / 3 / 1 / 5.5</li> <li>2-Heptanone / 25 / 10 / 3 / 1 / 5.5</li> <li>3-Heptanone / 25 / 10 / 3 / 1 / 5.5</li> <li>Citral / 25 / 10 / 3 / 1 / 5.5</li> <li>Apple / 25 / 10 / 3 / 1 / 5.5</li> <li>Mint / 25 / 10 / 3 / 1 / 5.5</li> <li>Strawberry / 25 / 10 / 3 / 1 / 5.5</li> <li>Octaldehyde / 25 / 10 / 3 / 1 / 5.5</li> <li>1-Octanol / 25 / 10 / 3 / 1 / 5.5 [10^-5]</li> <li>1-Octanol / 25 / 10 / 3 / 1 / 5.5 [10^-4]</li> <li>1-Octanol / 25 / 10 / 3 / 1 / 5.5 [10^-3]</li> <li>1-Octanol / 25 / 10 / 3 / 1 / 5.5 [10^-2]</li> <li>1-Octanol / 25 / 10 / 3 / 1 / 5.5 [10^-1]</li> <li>1-Octanol / 25 / 10 / 3 / 1 / 5.5 [1]</li> </ul> </li> <li><strong>locust20000423.hdf5</strong>: <ul> <li>Spontaneous first: 60 seconds of spontaneous activity</li> <li>1-Hexanol / 25 / 10 / 3 / 1 / 5.5</li> <li>Hexanal / 25 / 10 / 3 / 1 / 5.5</li> <li>Cis-3-hexen-1-ol / 25 / 10 / 3 / 1 / 5.5</li> <li>1-Hexen-3-ol / 25 / 10 / 3 / 1 / 5.5</li> <li>1-Heptanol / 25 / 10 / 3 / 1 / 5.5</li> <li>2-Heptanone / 25 / 10 / 3 / 1 / 5.5</li> <li>3-Heptanone / 25 / 10 / 3 / 1 / 5.5</li> <li>Citral / 25 / 10 / 3 / 1 / 5.5</li> <li>Apple / 25 / 10 / 3 / 1 / 5.5</li> <li>Amyl Acetate / 25 / 10 / 3 / 1 / 5.5</li> <li>1-Hexanol / 25 / 10 / 3 / 1 / 5.5</li> <li>Spontaneous second: 60 seconds of spontaneous activity</li> </ul> </li> <li><strong>locust20000613.hdf5</strong>: <ul> <li>Cis-3-hexen-1-ol / 50 / 30 / 3 / 1 / 16 [1]</li> <li>Cis-3-hexen-1-ol / 10 / 30 / 3 / 1 / 16 [1/100]</li> <li>Cis-3-hexen-1-ol / 50 / 30 / 3 / 1 / 16 [1/10]</li> <li>Cis-3-hexen-1-ol / 50 / 30 / 3 / 1 / 16 [1]</li> <li>Cherry / 21 / 30 / 3 / 1 / 16</li> </ul> </li> <li><strong>locust20000616.hdf5</strong>: <ul> <li>Spontaneous first: 60 seconds of spontaneous activity</li> <li>Cis-3-hexen-1-ol / 50 / 30 / 3 / 1 / 16 [1]</li> <li>Spontaneous second: 60 seconds of spontaneous activity</li> <li>Spontaneous third: 60 seconds of spontaneous activity</li> <li>Cis-3-hexen-1-ol / 50 / 30 / 3 / 1 / 16 [1/100]</li> <li>Cis-3-hexen-1-ol / 50 / 30 / 3 / 1 / 16 [1/10]</li> </ul> </li> <li><strong>locust20000901.hdf5</strong>: <ul> <li>Vanilla / 5 / 30 / 3 / 1 / 16</li> <li>Spontaneous: 60 seconds of spontaneous activity</li> <li>Cherry / 30 / 30 / 3 / 1 / 16</li> <li>Spontaneous: 60 seconds of spontaneous activity</li> <li>Benzaldehyde / 30 / 30 / 3 / 1 / 16</li> <li>Spontaneous: 60 seconds of spontaneous activity</li> <li>Mint / 20 / 30 / 3 / 1 / 16</li> <li>Hexanal / 15 / 30 / 3 / 1 / 16</li> <li>Spontaneous: 60 seconds of spontaneous activity</li> <li>Cis-3-hexen-1-ol / 30 / 30 / 3 / 1 / 16</li> <li>Spontaneous: 60 seconds of spontaneous activity</li> <li>Trans-2-hexen-1-ol / 30 / 30 / 3 / 1 / 16</li> </ul> </li> <li><strong>locust20010124a.hdf5</strong>: <ul> <li>Spontaneous: 2x29 seconds of spontaneous activity</li> <li>Spontaneous: 60x29 seconds of spontaneous activity</li> <li>Spontaneous: 80x29 seconds of spontaneous activity</li> </ul> </li> <li><strong>locust20010124b_part1.hdf5</strong> and <strong>locust20010124b_part2.hdf5</strong>: <ul> <li>Spontaneous: 60x29 seconds of spontaneous activity</li> <li>Spontaneous: 191x29 seconds of spontaneous activity</li> <li>Spontaneous: 59x29 seconds of spontaneous activity</li> </ul> </li> <li><strong>locust20010131.hdf5</strong>: <ul> <li>Spontaneous: 90x29 seconds of spontaneous activity</li> <li>Spontaneous: 70x29 seconds of spontaneous activity</li> <li>Spontaneous: 5x59 seconds of spontaneous activity</li> <li>Spontaneous: 3x59 seconds of spontaneous activity</li> <li>Spontaneous: 3x59 seconds of spontaneous activity</li> <li>Spontaneous: 3x59 seconds of spontaneous activity</li> <li>Spontaneous: 3x59 seconds of spontaneous activity</li> <li>Spontaneous: 3x59 seconds of spontaneous activity</li> <li>Spontaneous: 3x59 seconds of spontaneous activity</li> <li>WithoutAntenna: 3x59 seconds of spontaneous activity (after antennal nerve cut)</li> <li>WithoutAntenna: 3x59 seconds of spontaneous activity (after antennal nerve cut)</li> <li>WithoutAntenna: 3x59 seconds of spontaneous activity (after antennal nerve cut)</li> </ul> </li> <li><strong>locust20010201</strong>: <ul> <li>Continuous: 90x29 seconds of spontaneous activity</li> <li>Continuous: 20x29 seconds of spontaneous activity</li> <li>Citral / 50 / 30 / 3 / 1 / 25</li> <li>Citral / 50 / 30 / 10 / 1 / 18</li> <li>Citral / 50 / 30 / 10 / 1 / 18</li> <li>Continuous: 50x29 seconds of spontaneous activity</li> <li>Continuous: 45x29 seconds of spontaneous activity</li> </ul> </li> <li><strong>locust20010208a.hdf5</strong>: <ul> <li>Spontaneous: 50x29 seconds of spontaneous activity</li> <li>Spontaneous: 80x29 seconds of spontaneous activity</li> </ul> </li> <li><strong>locust20010208b.hdf5</strong>: <ul> <li>Spontaneous: 50x29 seconds of spontaneous activity</li> <li>Spontaneous: 50x29 seconds of spontaneous activity</li> <li>Citral / 50 / 30 / 10 / 1 / 18</li> <li>Citral / 120 / 30 / 10 / 1 / 18</li> <li>Citral / 50 / 30 / 10 / 1 / 18</li> <li>Citral / 25 / 30 / 10 / 1 / 18</li> </ul> </li> <li><strong>locust20010214_part1.hdf5</strong> and <strong>locust20010214_part2.hdf5</strong>: <ul> <li>Spontaneous: 30x29 seconds of spontaneous activity</li> <li>Spontaneous: 30x29 seconds of spontaneous activity</li> <li>Cis-3-hexen-1-ol / 25 / 30 / 10 / 1 / 18</li> <li>Citral / 25 / 30 / 10 / 1 / 18</li> <li>Vanilla / 25 / 30 / 10 / 1 / 18</li> <li>Octanol / 25 / 30 / 10 / 1 / 18</li> <li>Mint / 25 / 30 / 10 / 1 / 18</li> <li>Cis-3-hexen-1-ol / 25 / 30 / 10 / 1 / 18</li> <li>Spontaneous: 30x29 seconds of spontaneous activity</li> <li>Spontaneous: 30x29 seconds of spontaneous activity</li> <li>Cis-3-hexen-1-ol / 30 / 30 / 10 / 1 / 18</li> <li>Cis-3-hexen-1-ol / 11 / 30 / 10 / 1 / 18</li> <li>Cis-3-hexen-1-ol / 30 / 30 / 10 / 1 / 18</li> <li>Cis-3-hexen-1-ol / 30 / 30 / 10 / 1 / 18</li> </ul> </li> <li><strong>locust20010217.hdf5</strong>: <ul> <li>Spontaneous: 10x29 seconds of spontaneous activity</li> <li>Spontaneous: 2x29 seconds of spontaneous activity</li> <li>Spontaneous: 30x29 seconds of spontaneous activity</li> <li>Spontaneous: 10x29 seconds of spontaneous activity</li> <li>Spontaneous: 10x29 seconds of spontaneous activity</li> <li>Spontaneous: 10x29 seconds of spontaneous activity</li> <li>Spontaneous: 10x29 seconds of spontaneous activity</li> <li>Spontaneous: 10x29 seconds of spontaneous activity</li> <li>Spontaneous: 10x29 seconds of spontaneous activity</li> </ul> </li> </ol>
Recordings for loudness analysis of the music mixes for comparison of wave field synthesis, surround, and stereo
<p>Mat files of live recordings of the music mixes for the comparison of wave field synthesis, surround, and stereo listening test. The recordings were performed at different levels and were analyzed with a loudness model afterwards for adjusting the levels. For details, see</p> <p>C. Hold, H. Wierstorf, A. Raake, The Difference Between Stereophony and Wave Field Synthesis in the Context of Popular Music, in 140th AES Convention, 2016.</p>
Binaural room impulse responses recorded with KEMAR of a 19-channel linear loudspeaker array
<p>BRIRs for 19 different loudspeakers placed in room Calypso at the Telefunken-building of TU Berlin were measured. The room is a studio listening room. The 19 loudspeakers constituted a linear loudspeaker array with a inter-loudspeaker distance of roughly 15cm. The measurement was done with the KEMAR (type 45BA) with the corresponding large ears (type KB0065 and KB0066) and Fostex PM0.4 loudspeakers. The dummy head was rotated from −90° to 90° in 1° steps. The measurement was repeated with the head wearing AKG K601 open headphones.</p>
Binaural room impulse responses recorded with KEMAR in a mid-size lecture hall
<p>The binaural room impulse responses (BRIRs) were measured at the mid-size lecture room Auditorium 3 at the<br> Telefunken-building of TU Berlin. They were measured for six different loudspeaker positions. The head of the dummy head was rotated with a resolution of 1° ranging from -90° to 90°. The measurement equipment was the same as described in Wierstorf et al. [1]</p> <p> </p> <p>[1] Wierstorf, H., Geier, M., Raake, A., Spors, S. (2011) “A Free Database of Head-Related Impulse Response Measurements in the Horizontal Plane with Multiple Distances,” 130th AES Convention, eBrief 6</p>
Children speech recording (English, spontaneous speech + pre-defined sentences)
<p>The dataset contains audio recordings (lossless WAV) of 11 young children (age M=4.9 years old; 5 females, 6 males).</p> <p>Recordings include:</p> <ul> <li>free speech (retelling a picture book, ‘Frog, Where Are You?’ by Mercer Mayer)</li> <li>repeating 5 pre-defined short sentences (like 'the horse is in the stable')</li> <li>telling the numbers from 1 to 10</li> </ul> <p>The recordings are in English and the participants include both native and non-native speakers.</p> <p>Each sample is recorded from 3 sources:</p> <ul> <li>A studio-grade microphone (Rode NT1-A)</li> <li>A portable microphone (Zoom H1)</li> <li>The two front microphones of the Aldebaran NAO robot</li> </ul> <p>(note that, due to technical issues, a few (sample/microphone) combinations are missing).</p> <p> </p> <p>For the free-speech recording, a manual segmentation of the utterances is provided as well.</p>
Country Compendium of the Global Register of Introduced and Invasive Species: Standardization to Records in World Flora Online or the World Checklist of Vascular Plants
<p>The <strong>Country Compendium of the Global Register of Introduced and Invasive Species (GRIIS)</strong> is a collation of data across 196 individual country checklists of alien species, along with a designation of those species associated with evidence of impact at a country level. This compendium is available via <a href="https://zenodo.org/records/6348164">Zenodo</a> and was described by Pagad et al. <a href="https://www.nature.com/articles/s41597-022-01514-z">2022</a>:</p><ul><li>Shyama Pagad, Stewart Bisset, & Melodie A. McGeoch. (2022). Country Compendium of the Global Register of Introduced and Invasive Species. Dataset. (V1_0) [Data set]. Zenodo. <a href="https://doi.org/10.5281/zenodo.6348164">https://doi.org/10.5281/zenodo.6348164</a></li><li>Pagad, S., Bisset, S., Genovesi, P. <i>et al.</i> Country Compendium of the Global Register of Introduced and Invasive Species. <i>Sci Data</i> <strong>9</strong>, 391 (2022). <a href="https://doi.org/10.1038/s41597-022-01514-z">https://doi.org/10.1038/s41597-022-01514-z</a></li></ul><p> </p><p>Here I provide direct and fuzzy matches for species listed for the Plantae Kingdom in GRIIS with accepted plant names in <strong>World Flora Online</strong> (<a href="https://www.worldfloraonline.org/downloadData">version 2023.03</a>; Borsch et al. <a href="https://doi.org/10.1002/tax.12373">2020</a>) or the <strong>World Checklist of Vascular Plants</strong> (<a href="https://doi.org/10.34885/nswv-8994">version 10</a>; Govaerts et al. <a href="https://www.nature.com/articles/s41597-021-00997-6">2021</a>). Matching was done in <i>R</i> through the <a href="https://cran.r-project.org/package=WorldFlora">WorldFlora</a> package (Kindt <a href="https://bsapubs.onlinelibrary.wiley.com/doi/full/10.1002/aps3.11388">2020</a>). The taxonomic standardization process was similar to the one completed <a href="https://www.worldagroforestry.org/output/agroforestry-species-switchboard-30">during the preparation of the third major release</a> of the <a href="https://apps.worldagroforestry.org/products/switchboard">Agroforestry Species Switchboard</a> and when preparing the <strong>GlobalUsefulNativeTrees database</strong> (GlobUNT; <a href="https://worldagroforestry.org/output/globalusefulnativetrees">https://worldagroforestry.org/output/globalusefulnativetrees</a>) .</p><p>Where a matching species was found in GlobUNT, the species name in the GlobUNT database has been shown. GlobUNT has been described in the following publication: Kindt et al. (<a href="https://www.nature.com/articles/s41598-023-39552-1">2023</a>) <strong>GlobalUsefulNativeTrees, a database of 14,014 tree species, supports synergies between biodiversity recovery and local livelihoods in restoration</strong>. <i>Sci Rep</i> <strong>13</strong>, 12640. <a href="https://doi.org/10.1038/s41598-023-39552-1">https://doi.org/10.1038/s41598-023-39552-1</a>.</p><p>The developments of this dataset and GlobUNT were supported by the Darwin Initiative to project DAREX001 of <a href="https://www.darwininitiative.org.uk/project/DAREX001/"><i>Developing a Global Biodiversity Standard certification for tree-planting and restoration</i></a> and by Norway's International Climate and Forest Initiative through the Royal Norwegian Embassy in Ethiopia to the <a href="https://www.worldagroforestry.org/project/provision-adequate-tree-seed-portfolio-ethiopia"><i>Provision of Adequate Tree Seed Portfolio</i></a> project in Ethiopia. </p>
Original Recording of Freiburg Words for Testing Hearing with Speech
<p>The files contain recordings of the monosyllabic words, polysyllabic numbers, and CCITT noise (ITU, 1993) of the Freiburg Speech Test (Hahlbrock, 1953). The words are given in DIN 45621-1:1995. The 400 monosyllables are organized in 20 test lists à 20 nouns. They are stored in "Einsilbige Wörter.zip". The name of each wav-file includes the number of the test list (L01, L02, …) and the position of the word within the test list (W01, W02, …). The 100 polysyllables are organized in 10 test lists à 10 numbers. They are stored in "Mehrsilbige Wörter (Zahlen).zip" with similar nomenclature. DIN 45626-1:1995 describes the recordings. Speech signals were recorded in 1969 in the studios of Norddeutscher Rundfunk, Hamburg, Germany, with the speaker Claus Wunderlich (Brinkmann, 1974). The recordings were processed by Physikalisch-Technische Bundesanstalt, Braunschweig, Germany, and Polygram International, Hannover, Germany. Later, the recordings were digitalized by Siemens AG and distributed on compact disc by "Siemens Audiologische Technik GmbH" (legal successor WS Audiology A/S) with the title "Wörter für Gehörprüfung mit Sprache" ("Words for hearing tests with speech") under item no. 7970155. The words were cut out as accurately as possible, i.e., with as little background before and after each word as possible (see Winkler and Holube, 2016a). The CCITT noise was originally included for calibration purposes, but is often used as noise masker when the monosyllables are presented in background noise.</p>
Trees of India Version 1: Standardization to Records in World Flora Online and the World Checklist of Vascular Plants, with matches in GlobalTreeSearch and GlobalUsefulNativeTrees
<p>The <strong>Trees of India (ToI, Version-I)</strong> includes data on 3708 tree species distributed across 35 states/union territories of India. The database is based on systematic review of 313 literature sources published from 1872-2022.This compendium is available via <a href="https://figshare.com/articles/dataset/ToI_Ver_-I_Trees_of_India_Version-I/23226281">Figshare</a> and was described by Mugal et al. <a href="https://link.springer.com/article/10.1007/s10531-023-02659-y">2023</a>:</p> <ul> <li>Khuroo, Anzar Ahmad; Mugal, Muzamil Ahmad; Wani, Sajad Ahmad (2023). ToI, Ver.-I : Trees of India, Version-I. figshare. Dataset. <a href="https://doi.org/10.6084/m9.figshare.23226281.v1">https://doi.org/10.6084/m9.figshare.23226281.v1</a></li> <li>Mugal, M.A., Wani, S.A., Dar, F.A. <em>et al.</em> Bridging global knowledge gaps in biodiversity databases: a comprehensive data synthesis on tree diversity of India. <em>Biodivers Conserv</em> <strong>32</strong>, 3089–3107 (2023). <a href="https://doi.org/10.1007/s10531-023-02659-y">https://doi.org/10.1007/s10531-023-02659-y</a></li> </ul> <p> </p> <p>Here I provide direct and fuzzy matches for taxa listed with accepted plant names in <strong>World Flora Online</strong> (<a href="https://www.worldfloraonline.org/downloadData">version 2023.03</a>; Borsch et al. <a href="https://doi.org/10.1002/tax.12373">2020</a>) and the <strong>World Checklist of Vascular Plants</strong> (WCVP <a href="https://doi.org/10.34885/nswv-8994">version 10</a>; Govaerts et al. <a href="https://www.nature.com/articles/s41597-021-00997-6">2021</a>). Matching was done in <em>R</em> through the <a href="https://cran.r-project.org/package=WorldFlora">WorldFlora</a> package (Kindt <a href="https://bsapubs.onlinelibrary.wiley.com/doi/full/10.1002/aps3.11388">2020</a>). The taxonomic standardization process was similar to the one completed <a href="https://www.worldagroforestry.org/output/agroforestry-species-switchboard-30">during the preparation of the third major release</a> of the <a href="https://apps.worldagroforestry.org/products/switchboard">Agroforestry Species Switchboard</a> and when preparing the <strong>GlobalUsefulNativeTrees database</strong> (GlobUNT; <a href="https://worldagroforestry.org/output/globalusefulnativetrees">https://worldagroforestry.org/output/globalusefulnativetrees</a>).</p> <p>After matching species with the WCVP, information was compiled on the <strong>native distribution</strong> documented in the WCVP for level-3 units of the <a href="https://github.com/tdwg/wgsrpd">World Geographical Scheme for Recording Plant Distributions</a> that correspond to India, including India (IND), Assam (ASS), West Himalaya (WHM), East Himalaya (EHM), Laccadive Is. (LDV), Andaman Is. (AND) and Nicobar Is. (NCB). Also included after matching with the WCVP is information on the geographic area, lifeform and main biome. Similar information is available when searching for species from <a href="https://powo.science.kew.org/">Plants of the World Online</a>.</p> <p>Where a matching species was found in <strong>GlobalTreeSearch</strong> (Beech et al. <a href="https://www.tandfonline.com/doi/full/10.1080/10549811.2017.1310049">2017</a>; <a href="https://tools.bgci.org/global_tree_search.php">https://tools.bgci.org/global_tree_search.php</a>; accessed on 28th June 2023) filtered for India, the species name in GlobalTreeSearch is shown. Note that GlobalTreeSearch documents the <strong>native country distribution</strong> of tree species.</p> <p>Where a matching species was found in the <strong>GlobalUsefulNativeTrees</strong> database (GlobUNT, version 2023.11) filtered for India, the species name in the GlobUNT database is shown. GlobUNT has been described in the following publication: Kindt et al. (<a href="https://www.nature.com/articles/s41598-023-39552-1">2023</a>) <strong>GlobalUsefulNativeTrees, a database of 14,014 tree species, supports synergies between biodiversity recovery and local livelihoods in restoration</strong>. <em>Sci Rep</em> <strong>13</strong>, 12640. <a href="https://doi.org/10.1038/s41598-023-39552-1">https://doi.org/10.1038/s41598-023-39552-1</a>.</p> <p>See the metadata for information on versions.</p> <p> </p> <ul> <li>Borsch, T., Berendsohn, W., Dalcin, E., Delmas, M., Demissew, S., Elliott, A., Fritsch, P., Fuchs, A., Geltman, D., Güner, A., Haevermans, T., Knapp, S., le Roux, M.M., Loizeau, P.-A., Miller, C., Miller, J., Miller, J.T., Palese, R., Paton, A., Parnell, J., Pendry, C., Qin, H.-N., Sosa, V., Sosef, M., von Raab-Straube, E., Ranwashe, F., Raz, L., Salimov, R., Smets, E., Thiers, B., Thomas, W., Tulig, M., Ulate, W., Ung, V., Watson, M., Jackson, P.W. and Zamora, N. (2020), World Flora Online: Placing taxonomists at the heart of a definitive and comprehensive global resource on the world's plants. TAXON, 69: 1311-1341. <a href="https://doi.org/10.1002/tax.12373">https://doi.org/10.1002/tax.12373</a></li> <li>Govaerts, R., Nic Lughadha, E., Black, N. <em>et al.</em> The World Checklist of Vascular Plants, a continuously updated resource for exploring global plant diversity. <em>Sci Data</em> <strong>8</strong>, 215 (2021). <a href="https://doi.org/10.1038/s41597-021-00997-6">https://doi.org/10.1038/s41597-021-00997-6</a></li> <li>E. Beech, M.Rivers, S. Oldfield & P. P. Smith (2017)GlobalTreeSearch: The first complete global database of tree species and country distributions, Journal of Sustainable Forestry, 36:5, 454-489, DOI: <a href="https://doi.org/10.1080/10549811.2017.1310049">10.1080/10549811.2017.1310049</a></li> <li>Kindt, R. 2020. WorldFlora: An R package for exact and fuzzy matching of plant names against the World Flora Online taxonomic backbone data. <em>Applications in Plant Sciences</em> 8(9): e11388. <a href="https://doi.org/10.1002/aps3.11388">https://doi.org/10.1002/aps3.11388</a></li> </ul> <p> </p> <p>The developments of this dataset and GlobUNT were supported by the Darwin Initiative to project DAREX001 of <a href="https://www.darwininitiative.org.uk/project/DAREX001/"><em>Developing a Global Biodiversity Standard certification for tree-planting and restoration</em></a>.</p>
Code and data to "Climate change contribution to the 2023 autumn temperature records in Vienna"
<p>The dataset consists of the code and data used for the preprint "Climate change contribution to the 2023 autumn temperature records in Vienna". </p> <p>It contains two objects:</p> <ul> <li>The station data of mean monthly temperature for Vienna Hohe-Warte from 1750 to 2023 (vienna_hohe-warte.csv), which also can be downloaded here: http://www.zamg.ac.at/histalp/dataset/station/csv.php. </li> <li>The code for modeling and producing the figures of the preprint (autumn_temperature.R).</li> </ul>
Subglacial valleys preserved in the highlands of south and east Greenland record restricted ice extent during past warmer climates: Datasets
<p>This dataset contains the following files:</p><ul><li><strong>mountain_glacial_valleys_2km.shp (and ancillary files: .dbf, .prj, .shx)</strong>: ESRI shapefile of the subglacial valleys mapped along the southern and eastern highlands of Greenland using MODIS Mosaic of Greenland imagery and radio-echo sounding data.</li><li><strong>mountain_glacial_limit.shp (and ancillary files: .dbf, .prj, .shx)</strong>: ESRI shapefile of the interpreted palaeo-glacial valley limit along the southern and eastern highlands of Greenland based on the distribution and morphology of the mapped subglacial valleys.</li><li><strong>ex_g5km_10ka_hy_east.nc</strong>: NetCDF file of the Parallel Ice Sheet Model output spatially variable fields for the best-fitting simulation for the eastern highlands (run at 5 km horizontal resolution for 10,000 model years).</li><li><strong>ts_g5km_10ka_hy_east.nc</strong>: NetCDF file of the Parallel Ice Sheet Model output scalar time series for the best-fitting simulation for the eastern highlands (run at 5 km horizontal resolution for 10,000 model years).</li><li><strong>ex_g5km_10ka_hy_south.nc</strong>: NetCDF file of the Parallel Ice Sheet Model output spatially variable fields for the best-fitting simulation for the southern highlands (run at 5 km horizontal resolution for 10,000 model years).</li><li><strong>ts_g5km_10ka_hy_south.nc</strong>: NetCDF file of the Parallel Ice Sheet Model output scalar time series for the best-fitting simulation for the southern highlands (run at 5 km horizontal resolution for 10,000 model years).</li></ul>
Age-depth model ensembles for SISAL v3 speleothem records
<p>Depth-age model ensembles created for the SISAL database v3 (version for publication), in supplement to <strong><a href="https://essd.copernicus.org/preprints/essd-2023-364/" target="_blank" rel="noopener">Kaushal et al., 2024</a></strong> and building on <a href="https://www.earth-syst-sci-data-discuss.net/essd-2020-39/">Comas-Bru, Rehfeld, Roesch et al., 2020</a>.</p> <p>This upload includes ensemble data for 5 methods (interpolation, linear regression, copRa, Bchron and Bacon) created following the protocol in previous versions but for newly included entities in the database.</p> <p>Each file contains a matrix with the first column giving the row number, the second the SISAL v3 sample ID, the third the depth in the speleothem (in mm), and the fourth to 2003rd column contains the 2000 age model ensemble members.</p>
Temperature data on forest plots recorded with hourly measurements in LandKlif Project
<p><span>Temperature data on forest plots in LandKlif project recorded with hourly measurements (EasyLOG USB, measured accurate to 0.5°C). Thermologgers were attached to the wildlife cameras within the forest. Due to battery leakage, corrosion, and programming errors, only 39 out of 56 loggers collected temperature data.</span></p> <p><span>LandKlif is funded by the Bavarian State Ministry of Science and the Arts within the Bavarian Climate Research Network (bayklif). Within the five year funding period of bayklif, five interdisciplinary senior research associations and five junior research groups are be financed with a total sum of 18 million Euro. LandKliF, as one of the five interdisciplinary senior research associations, addresses the effects of climate change on biodiversity and ecosystem services in semi-natural, agricultural and urban landscapes.</span></p>
Compilation of parallel measurements comparing the temperatures recorded in Stevenson screens with those recorded in pre-Stevenson screen thermometer exposures
<p>Compilation of parallel measurements comparing the temperatures recorded in Stevenson screens with those recorded in pre-Stevenson screen thermometer exposures. This dataset accompanies Wallis et al. (2024); further details of the dataset and its creation can be found in the attached readme file and Wallis et al. (2024).</p> <p>---</p> <p><strong>References</strong></p> <p>Wallis, E.J., Osborn, T.J., Taylor, M., Jones, P.D., Joshi, M. & Hawkins, E. (2024) Quantifying exposure biases in early instrumental land surface air temperature observations. <em>International Journal of Climatology, </em>https://doi.org/10.1002/joc.8401</p>
German own voice recordings with hearable microphones
<p>This dataset is supplementary material to the article "Modeling of Speech-dependent Own Voice Transfer Characteristics for Hearables with an In-ear Microphone" published in Acta Acustica, vol. 8 (2024).</p> <p>The dataset consists of recordings of own voice speech of 18 talkers (5 female, 13 male) wearing hearable devices in both ears. All talkers were native German speakers. The dataset was recorded in a sound-proof listening booth using the Hearpiece prototype device (closed vent variant) [1].</p> <p>The speech uttered by the talkers is pre-determined text read from a screen. The talkers press a button on the screen to start the recording, read the sentence out loud in a normal voice, and press another button to stop the recording. It was possible for the talkers to re-record a sentence if desired. The sentences read by the talkers originate from the following sources:</p> <ul> <li>The north wind and the sun (German), 6 sentences</li> <li>Berlin and Marburg Sentences [2] (German), 2x100 sentences</li> <li>100 sentences for language learners [3] (German), 100 sentences</li> <li>Some held-out vowels and consonants</li> <li>[some seconds of silence]</li> </ul> <p>The full text read by each talker is written in <code>full_text.txt</code>.</p> <p>The recordings are contained in the folder <code>speech</code>. Each subfolder contains recordings from a different talker (e.g., <code>VP_01</code>). The sentences uttered by each talker are numbered following this scheme: <code>VP_01_0.wav</code> to <code>VP_01_313.wav</code>. Talkers where the device could not be inserted, or where the fit did not provide sufficient attenuation of external sounds to the in-ear microphone, were excluded.</p> <p>A DPA 6060 lavalier clip microphone and a Tbone SC140 cardiod microphone were recorded as reference signals. From two Hearpiece devices (closed vent), the concha and in-ear microphones were recorded. Audio was recorded at a sampling frequency of 44100 Hz.</p> <p>The channels of the recordings, counting from 0, recorded the following microphones:</p> <ul> <li>0: Lavalier-microphone clipped to the shirt neck, shirt collar etc. of the talker</li> <li>1: Reference microphone about 50 cm in front of the talker</li> <li>2: Left in-ear microphone Hearpiece</li> <li>3: Left concha microphone Hearpiece</li> <li>4: Right in-ear microphone Hearpiece</li> <li>5: Right concha microphone Hearpiece</li> </ul> <p>[1] F. Denk, M. Lettau, H. Schepker, S. Doclo, R. Roden, M. Blau, J.-H. Bach, J. Wellmann, and B. Kollmeier: "A One-Size-Fits-All Earpiece with Multiple Microphones and Drivers for Hearing Device Research". In: Proc. AES International Conference on Headphone Technology. San Francisco, USA, Aug. 2019.</p> <p>[2] A. P. Simpson, K. J. Kohler, and T. Rettstadt. "The Kiel Corpus of Read/Spontaneous Speech: Acoustic Data Base, Processing Tools, and Analysis Results". In: Arbeitsberichte Institut für Phonetik Und Digitale Sprachverarbeitung Universität Kiel. Vol. 32. IPDS, Nov. 1997, pp. 243-247.</p> <p>[3] A. Neustein. "100 Sätze Reichen Für Ein Ganzes Leben" (Blog-post). https://deutschlernerblog.de/100-saetze-reichen-fuer-ein-ganzes-leben/. Aug. 2019.</p> <p> </p> <p> </p>
Records of Artema atlanta Walckenaer, 1837 from South Africa (Araneae: Pholcidae)
<p>Records of the spider <em>Artema atlanta </em>Walckenaer, 1837 from South Africa are presented. The general morphol-ogy of live specimens is discussed, and photographs are provided, with notes on their behaviour and distribution.</p>
3-hourly water level records (selected high flow events) for the River Garry at Invergarry (Inverness-shire), Scotland
<p>3-hourly records of stage (water level) for the River Garry at Invergarry (Inverness-shire), Gauge A2, for selected high-flow events 1936-1940. Extracts from a record spanning the period 1936-10-01 to 1944-09-30.</p> <p>Data collected by Capt. W. N. McClean via his organisation River Flow Records and with the assistance of local observers.</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>Subsequent to the colletion of these records, the River Garry was developed by the construction of dams and hydro power stations below Loch Quoich and Loch Garry.</p> <p>The Scottish Environment Protection Agency (SEPA) subsequently opened a river flow gauging station on the River Garry at Craigard in 1997, approximately 3 km upstream of McClean's gauge, operated until 2011.</p>
A collection of annotated soundscape recordings from western Kenya
<p>This collection contains 35 soundscape recordings of 32 hours total duration, which have been annotated with 10,294 labels for 176 different bird species from western Kenya. The data were recorded in 2021 and 2022 west and southwest of Lake Baringo in Baringo County, Kenya. This collection has partially been featured as test data in the 2023 BirdCLEF competition and can primarily be used for training and evaluation of machine learning algorithms.</p> <p><strong>Data collection</strong></p> <p>For this collection, AudioMoths and SWIFT recording units were deployed at multiple locations west and southwest of Lake Baringo, Baringo County, Kenya between Dezember 2021 and February 2022. Recording locations cover a variety of habitats from open grasslands to semi-arid scrubland and mountain forests. Recordings were originally sampled at 48 kHz and converted to MP3 for faster file transfer. For publication, all files were resampled to 32 kHz and converted to FLAC.</p> <p><strong>Sampling and annotation protocol</strong></p> <p>A total of 32 hours of audio from various sites west and southwest of Lake Baringo were selected for annotation. Annotators were tasked with identifying and labeling each bird call they could discern, excluding any calls that were too weak or indiscernible. The annotation process was carried out using Audacity. Provided labels mark the center of each bird call. In this collection, we use eBird species codes as labels, following the 2021 eBird taxonomy (Clements list). Parts of this dataset have previously been used in the 2023 BirdCLEF competition. </p> <p><strong>Files in this collection</strong></p> <p>Audio recordings can be accessed by downloading and extracting the “soundscape_data.zip” file. Soundscape recording filenames contain a sequential file ID, recording date and timestamp in EAT (UTC+3). As an example, the file “KEN_001_20211207_153852.flac” has sequential ID 001 and was recorded on December 7th 2021 at 15:38:52 EAT. Ground truth annotations are listed in “annotations.csv” where each line specifies the corresponding filename, start and end time in seconds, and an eBird species code. These species codes can be assigned to scientific and common name of a species with the “species.csv” file. The approximate recording location with longitude and latitude can be found in the “recording_location.txt” file.</p> <p><strong>Acknowledgements</strong></p> <p>Compiling this extensive dataset was a major undertaking, and we are very thankful to the domain experts who helped to collect and manually annotate the data for this collection. In particular, our thanks go to Francis Cherutich for setting up recording units, collecting and annotating data, and to Alain Jacot for assisting in programming the units and transporting the recorders to Kenya.</p>
Wikipedia: Wikipedia English - traits (inferred records)
Wikipedia is a multilingual, web-based, free-content encyclopedia project supported by the Wikimedia Foundation and based on a model of openly editable content. EOL harvests articles from wikipedia that are indexed as species or higher taxa.<p></p>
Charters and Records of Königsfelden Abbey and Bailiwick (1308-1662)
<p>The data has been published online as a scholarly edition: <a href="https://www.koenigsfelden.uzh.ch/">www.koenigsfelden.uzh.ch</a>.</p> <p>The charters and records have been digitized in cooperation with the <a href="https://www.ag.ch/de/bks/kultur/archiv_bibliothek/staatsarchiv/staatsarchiv.jsp">State Archives of the Aargau</a> (StAAG). All images are available in public domain. The cartularies are available via <a href="http://e-codices.ch/en/search/?aSelectedFacets=%7B%22collection_facet%22%3A%5B%22Aarau%2C+Staatsarchiv+Aargau%22%5D%7D&sQueryString=cartulary&sSearchField=fullText&sSortField=score">e-codices</a>.</p> <p>The data set has been manually prepared as a scholarly edition with information about layout and text. The data is available as <a href="https://ocr-d.de/de/gt-guidelines/trans/trPage.html">PageXML</a> and as TEI XML, prepared according to the <a href="https://tei-c.org/">TEI</a> (Text Encoding Initiative, specified by the Swiss Law Sources: <a href="https://www.ssrq-sds-fds.ch/wiki/">www.ssrq-sds-fds.ch/wiki/</a>). Further information about the scholarly edition can be found online: <a href="https://www.koenigsfelden.uzh.ch/exist/apps/ssrq/intro.html">www.koenigsfelden.uzh.ch/exist/apps/ssrq/intro.html</a>.</p> <p>The PageXML are structured in 28 collections. The identification of TEI to PageXML (and back) is given by the file names.</p> <p>The textual data is licensed under a <a href="https://creativecommons.org/licenses/by/4.0/">CC-BY 4.0 International</a> license.</p> <p>The data set is split into</p> <ul> <li>all images (except cartularies) as JPG</li> <li>all files in TEI XML</li> <li>PageXML of charters and records</li> <li>PageXML of the cartularies</li> </ul> <p>[German Abstract]</p> <p>Das Projekt «Urkunden und Akten des Klosters und Oberamts Königsfelden» will den historischen Königsfelder Urkunden- und Aktenbestand aus der Zeit bis 1662 online und als print-on-demand Buch edieren und das gesamte klösterliche Verwaltungsschriftgut digital zugänglich machen. Die Arbeiten erfolgen in Zusammenarbeit mit dem Staatsarchiv des Kantons Aargau und sind auf vier Jahre angelegt. Mit Unterstützung des Zürcher Rechtsquellenprojekts der Schweizerischen Rechtsquellenstiftung streben wir eine digitale Edition an, welche die wesentlichen Vorteile aktueller technischer Möglichkeiten nutzt, die Dokumente adäquat auszeichnet, gezielt miteinander verknüpft und für neue Zugriffsmöglichkeiten aufbereitet. Das Rückgrat des Unternehmens bildet der verhältnismässig geschlossene Bestand der überlieferten mittelalterlichen und frühneuzeitlichen Einzelblattdokumente des Klosters (STAAG U.17, 1291-1789), der - erweitert um auswärtige Stücke aus dem einstigen Kloster - in seiner historischen Entwicklung und in seinen wandelbaren Ordnungen nachvollziehbar gemacht werden soll. Aufgrund von nachträglich auf den Urkunden aufgebrachten Dorsualnotizen und Signaturen sollen historische Archivordnungen rekonstruiert sowie die späteren Abschriften dieser Urkunden nachgewiesen und verlinkt werden. So kann die Edition zugleich die Umorganisation und Umdeutung dieses Bestandes erschliessen. Wir nutzen die besondere Beweglichkeit einer digitalen Edition, um der Forschung in neuartiger Weise Entwicklungen eines Bestandes und dahinterliegende Umbrüche in der Schrift- und Administrationskultur zugänglich zu machen. Zugleich soll das Projekt Möglichkeiten digitalen Edierens im fachlichen Austausch reflektieren und vorantreiben.Mit dem historisch herausragenden Dokumenten- und Kopialbuchbestand der habsburgischen Klosterstiftung und der späteren Berner Landvogtei stellt die Edition bislang weitgehend fehlende Arbeitsgrundlagen für aktuelle Forschungsrichtungen bereit. Die Königsfelder Dokumente sind von höchstem Interesse für die Kunst-, Kultur-, Sozial- und Wirtschaftsgeschichte (vom Klosteralltag über den Klosterhaushalt bis hin zu Hofhaltung und Armenfürsorge), für die historischen Gender Studies und die Ordens- und Reformationsgeschichte. Zugleich wird unsere Edition neuen Ansätzen der Schweizer Geschichte entgegenkommen. Denn sie macht Gemengelagen zwischen unterschiedlichen Herrschaften (Habsburg, Kloster als Territorialherr, eidgenössische Orte) ebenso wie lokale Dimensionen von Staatsbildung, Territorialisierung und Konfessionalisierung fassbar. Das Projekt wird an der Universität Zürich angesiedelt, zielt auf eine enge Verkopplung von Editionsarbeit mit wissenschaftlicher Forschung und Lehre und wird Studierende mit Editionstechniken und archivalischen Gegebenheiten vertraut machen. Ausserdem wird das Projekt in Kooperation mit dem Staatsarchiv Aargau, dem Museum Aargau sowie weiteren Institutionen einen Beitrag zur Geschichtsvermittlung und Kulturgüterpflege leisten.</p> <p>Das Projekt…</p> <ul> <li>rekonstruiert und ediert einen historischen Dokumentenbestand und erschliesst weitere bislang kaum edierte Typen klösterlicher und herrschaftlicher Quellen</li> <li>unterstützt neue, über das «Werden und Wachsen der Eidgenossenschaft» hinausblickende Zugänge zur Geschichte der Schweiz</li> <li>leistet einen Beitrag zur Weiterentwicklung der offenen digitalen Edition</li> <li>wendet sich mit akademischer Lehre und über Kooperationen direkt an Studierende und ein grösseres Publikum</li> </ul>
Audio recordings of COVID-19 positive individuals from the prospective Predi-COVID cohort study with their ageusia and anosmia status
<p>We uploaded 1636 audio recordings originating from 259 distinct participants in the prospective Predi-COVID cohort study recruited between May 2020 and May 2021. The audios have been converted from their original format into WAV files. The audio name structure integrates the participant ID, the recording date and time of the audio recording, the type of audio (Type 1: reading of a text, Type2: hold the [a] vowel), the original audio format, and the symptomatic status for ageusia and anosmia (1: symptomatic, 0: asymptomatic) as such:</p> <p>predi-covid_{participant}{recording date and time}{type of audio}{original format}{sympyomatic status}.wav</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.