Find research datasets worth reusing

Point locations for spatial and morphological analyses of barchans in swarms

<div>This dataset contains the long-lat coordinates of seven points on ~6000 barchans located in six swarms.</div> <div> </div> <div>Four of the locations are on Earth (three in the Tarfaya region of the Western Sahara, one in Mauritania).</div> <div>The other two swarms are from high latitudes of the northern hemisphere of Mars.</div> <div> </div> <div>In each location between 850 and 1112 barchans were measured.</div> <div> </div> <div>The measurements were carried out manually by Dominic T Robson and Andreas CW Baas according to the method described in</div> <div>Robson, D. T., Annibale, A., & Baas, A. C.W. (2022). Reproducing size distributions of swarms of barchan dunes on Mars and Earth using a mean-field model. Physica A: Statistical Mechanics and its Applications, 606, 128042.</div> <div> </div> <div>The included metadata file lists the copyrights and dates (DD/MM/YYYY) for the imagery used, all imagery was accessed through Google Earth.  </div> <div> </div> <div>The metadata file also includes descriptions of the format of the data.  The data themselves are provided in separate comma delimited files for each location.  Only the bedforms identified as barchans are included although other bedforms in the locations were also measured (see Robson et al. Physica A (2022)).</div> <div> </div> <div>Using the seven points recorded for each dune it is possible to calculate:</div> <div>Body length</div> <div>Total length</div> <div>Horn lengths</div> <div>Total width</div> <div>Horn-to-horn width</div> <div>Port flank width</div> <div>Starboard flank width</div> <div>Slipface length</div> <div>Dune orientation</div> <div> </div> <div>The area of the polygons formed by the points also provides an estimate for the basal area of the dune though it is not a perfect match.</div> <div> </div> <div>We hope that these data will be of use to those seeking to study the morphology, size, asymmetry, and spatial distribution of barchans in swarms.</div> <div> </div> <div>Dominic T Robson and Andreas CW Baas.</div>

Research in Svalbard international projects edgelist

<p>This dataset lists all the country to country ties derived from the <a href="https://www.researchinsvalbard.no/">Research in Svalbard</a> (RIS) database using the country of origin of the organisations with joint research projects in Svalbard and the projects year. This edgelist is broken down into two time periods: 1972-2004 ; 2005-2022. Per each pair of countries, it gives the number of joint research projects registered in the RIS database per period of time. It can be used for network analysis purposes. It has been created and analysed using a core-periphery approach within the publication: Strouk, M. & Maisonobe, M. (2024). "Field science and scientific collaboration in the Svalbard Archipelago: beyond science diplomacy<em>". Science and Public Policy.</em> DOI: <a href="https://doi.org/10.1093/scipol/scae012">https://doi.org/10.1093/scipol/scae012/</a></p>

Datasets for: Generalizing Monin-Obukhov Similarity Theory (1954) for Complex Atmospheric Turbulence, Stiperski and Calaf 2023, PRL

<p>Scaling variables for the generalized flux-variance scaling relations that include turbulence anisotropy. Dataset is a companion to the manuscript  Stiperski, I., Calaf, M., 2023: Generalizing Monin-Obukhov similarity theory (1954) for complex atmospheric turbulence. Physical Review Letters, 130 (12), 124001,   https://doi.org/10.1103/PhysRevLett.130.124001</p> <p>The dataset contains the turbulence statistics from 13 datasets:  AHATS, Cabauw, CASES-99, METCRAX II campaign (NEAR  and RIM towers), T-Rex campaign (Central tower - TRexC, West tower - TRexW) and i-Box measurement network (CCS-VF0 tower - i-Box0, CS-SF1 tower - i-Box1, CS-NF10 tower - i-Box10, CS-NF27 tower - i-Box27, CS-MT21 tower - i-BoxTop, im Hinteren Eis tower - imHint).</p> <p><br>Data are organized in csv files for each datasets and only contain high quality (for applied criteria see the Supplemental Material of the companion paper, https://journals.aps.org/prl/supplemental/10.1103/PhysRevLett.130.124001) data with 30 min averaging for unstable stratification and 1 min for stable stratification. Since the data were used for scaling, there is no reference to time, but the measurement height is provided as an additional variable. </p> <p>Meaning of variables:</p> <p>zeta - z/L where z is height above ground and L is the local Obukhov length</p> <p>SigmaU - $\overline{u'u'}/u_*$ scaled standard deviation of streamwise velocity, where $u_*$ is the local friction velocity</p> <p>SigmaU - $\overline{v'v'}/u_*$ scaled standard deviation of spanwise velocity</p> <p>SigmaU - $\overline{v'v'}/u_*$ scaled standard deviation of surface-normal velocity</p> <p>SigmaT - $\overline{T'T'}/T_*$ scaled standard deviation of sonic temperature, where $T_*$ is the local temperature scale</p> <p>SigmaEpsU - scaled dissipation rate of the streamwise velocity</p> <p>SigmaEpsW - scaled dissipation rate of the surface-normal velocity </p>

UAV-based colour-infrared orthomosaics and digital elevation models of basalts and rock glaciers on Disko Island, West Greenland

<p><span>This data set contains multispectral surveys conducted with an unoccupied aerial vehicle over rock glaciers and steep mafic outcrops (intrusive and flood volcanics) near the coastline of Disko Island.</span></p> <ul> <li><span>Acquisition date: 07.08.2019 – 10.08.2019</span></li> <li><span>Location: Illukunnguaq, Disko Island, Greenland</span></li> <li><span>UAV: SenseFly eBee Plus</span></li> <li><span>Flight altitude above ground level: >100m</span></li> <li><span>Image Overlap forward/side: various</span></li> <li><span>Camera: Parrot Sequoia multispectral</span></li> <li><span>EPSG: 32622</span></li> <li><span>Center coordinates: 69.885277°N, -52.577724°E</span></li> <li><span>Flight mode: automatic flight plan</span></li> </ul> <p><span>Data products: </span></p> <ul> <li><span>Orthomosaic colour-infrared, 10-16 cm pixel resolution</span></li> <li><span>Colour-infrared spectral bands: 790nm, 660nm, 550nm</span></li> <li><span>DEM, 20-30cm pixel resolution</span></li> <li><span>Data coverage: approx. 5500 x 2500 m</span></li> <li><span>Elevation profile: 20-680m </span></li> <li><span>Processing in Agisoft Metashape</span></li> </ul> <p><span>Additional data supplement for article:<br>Barnes, E. (2020). Assessment of Drone-Borne Multispectral Mapping in the Exploration of Magmatic Ni-Cu Sulphides–an Example from Disko Island, West Greenland. <br><em>URN: urn:nbn:se:uu:diva-418858</em></span></p> <p>MULSEDRO field campaign was conducted under scientific survey licence (VU-00158-2019) within mineral exploration licence MEL 2018-16 by Blue Jay Mining PLC. This research has been supported by the project MULSEDRO, funded by HZDR-HIF & EITRawMaterials (project ID 16193) and the European Union.</p>

BehaviouralTraitExpressionUnderClimaticForcing-V1.0

<p>R code used to generate statistical results, figures and models for williams et al. - <span>Species from regions of rapid climate transition show functionally important intra- and interspecific differences in trait expression</span>. Please see readme file for explanation of which scripts correspond to which results and figures.</p>

Meiobenthos GeoEcoMar DOORS 2023

<p>The dataset contains the taxonomic and quantitative analysis of meiobenthic samples (free-living nematodes and harpacticoida groups), collected within the DOORS Leg 1 cruise carried out within 1-10 September 2023 in the framework of Horizon 2020 Project ‘Developing Optimal and Open Research Support for the Black Sea’ (DOORS). The samples have been collected with a Multiple Corer Mark II device. 3 out of the 6 samples that contain in their ID the word "inc" represent the incubated cores (for fluxes experiments), while the other 3 the "control" samples collected in the same station. The latter were washed through a 63 µm mesh sieve on board and preserved in buffered formaldehyde 4% for further laboratory analysis (Giere, 2009)</p>

Tipos de Estudios de Investigación en Implementación - Checklist

<p>El Grupo de Investigación en Ciencias de la Diseminación e Implementación en Servicios de Salud del Instituto de Investigación Sanitaria Biobizkaia (IIS Biobizkaia) y Red de Investigación en Cronicidad, Atención Primaria y Promoción de la Salud (RICAPPS), ha creado esta herramienta para facilitar a la comunidad científica la identificación de estudios de investigación en implementación.</p> <p> </p>

opencc-zeroDec 2023View details →

Acoustic noise radiation measurements of three disel-electric ferries

<p>This dataset contains measured noise radiation for three diesel-electric hybrid ferries, both in air and in water. The ferries have been measured in fully electric battery powered propulsion as well as in hybrid propulsion with the on-board diesel generator running.</p>

StopptCOVID-Studie - Daten, Analyse und Ergebnisse

<p>Die getroffenen Maßnahmen zur Kontrolle von Severe Acute Respiratory Syndrome Coronavirus Type 2 (SARS-CoV-2) haben während der Coronavirus Disease 2019-(COVID-19-) Pandemie zu starken Einschränkungen des öffentlichen Lebens in Deutschland geführt. Das übergeordnete Ziel des Projekts "StopptCOVID" bestand darin, die Evidenzgrundlage für die Beurteilung der Effektivität verschiedener antipandemischer, nicht-pharmazeutischer Maßnahmen (NPI) zu verbessern. Dabei war die Frage, inwiefern verordnete Maßnahmen einen Anstieg der COVID-19-Inzidenz bremsen konnten. An dieser Stelle veröffentlichen wir Daten und Code für die Analyse der NPI in Deutschland.</p>

Shoreline series of the Doniños coastal system, NW Iberia (1945-2020): A Geospatial Dataset

<p>This repository stores shoreline data spanning from 1945 to 2020, derived from aerial photography and orthophotos, for the Doniños coastal system in NW Iberia. The shoreline indicator is defined as the boundary between vegetated dunes and bare beach sand. The methodology and dataset are detailed in the following publication:</p> <p><em><strong>Rita González-Villanueva, Martiño Pastoriza, Armand Hernández, Rafael Carballeira, Alberto Sáez, Roberto Bao. "Primary drivers of dune cover and shoreline dynamics: A conceptual model based on the Iberian Atlantic coast." Geomorphology, Volume 423, 2023, 108556, ISSN 0169-555X. <a href="https://doi.org/10.1016/j.geomorph.2022.108556" target="_new">https://doi.org/10.1016/j.geomorph.2022.108556</a>.</strong></em></p> <p>The shoreline dataset is encapsulated in a single GEOJSON file: <code>SHORES_1945_2020.geojson</code>. This dataset encompasses the shorelines mapped from all available aerial data for the Doniños coastal system, on the Galician coast, NW Iberia, from 1945 to 2020. It comprises a total of 15 shorelines. The geospatial layer employs the ETRS89/UTM zone 29N coordinate system (EPSG: 25829).</p> <p><strong>SHORES_1945_2020.geojson</strong>: This layer presents the shorelines, where each feature is a MultiLinestring with the following attributes:</p> <ul> <li><code>objectid</code>: Identifier of the shoreline.</li> <li><code>date</code>: Date of the shoreline capture, in month/year format (mm/yyyy).</li> <li><code>SHAPE_Leng</code>: Length of the mapped shoreline, in meters.</li> <li><code>Source</code>: Source of the original image from which the shoreline was derived, including the Centro Nacional de Información Geográfica (CNIG) and the Centro Cartográfico y Fotográfico del Ejército del Aire (CECAF).</li> <li><code>Type</code>: 'O' signifies an orthophotograph, and 'AP' signifies an aerial photograph.</li> <li><code>GEO_Error</code>: Georeferencing error for each manually georeferenced photograph.</li> <li><code>geometry</code>: The type of geometry used in the file, specified as MultiLineString.</li> <li><code>coordinates</code>: UTM coordinates for each node in the multiline.</li> </ul>

Data from Phenocam (PHE) measurements at Freiburg–Chemiehochhaus (FRCHEM) from 2023-07-04 to 2023-12-31 [RAW]

<p>Original phenocam images separated into near-infrared (NIR) and visible (VIS).</p>

Dataset for "The influence of the amount of recycled material on the microstructure and properties of the second generation of single-domain YBCO bulks"

<p>The development of a recycling process for various REBCO materials is crucial considering both environmental sustainability and economic efficiency, particularly in light of the upcoming large-scale applications. In this paper, a novel general recycling process based on chemical dissolution was employed to grow REBCO bulks; recycled material obtained by recycling defective YBCO single-domain bulks was added (15 wt. %, 30 wt. % and 45 wt. %) to raw materials to prepare recycled YBCO precursor powder. Subsequently, recycled single-domain YBCO bulks were produced using Top-Seeded Melt Growth. The waste recycling related to of single-domain bulks growth was chosen, as it represents the most challenging form of waste in the context of REBCO superconductor production. The properties and microstructure of recycled bulks were further analyzed to determine the influence of the amount of recycled material used and compared to commercially produced bulks. Single-domain YBCO bulks were grown successfully from the recycled precursor powder. Furthermore, it was found that their properties could be tuned by varying the amount of the added recycled powder, allowing the use of vast amounts of REBCO waste for the preparation of bulks, when achieving the best possible properties is not essential for a given application. Given that the underlying recycling process is designed to work for all REBCO systems and any form of waste, it has significant implications for the sustainability and cost-effectiveness of REBCO superconductor production. </p>

Dataset to Schiedung et al. (2024): Millennial-aged pyrogenic carbon in high-latitude mineral soils

<p>Dataset to Schiedung et al. (2024, Communications Earth & Environment): Pyrogenic Carbon is Aged at Millennial Scale in High-Latitude Mineral Soils</p> <p>DOI: <a href="https://doi.org/10.1038/s43247-024-01343-5">10.1038/s43247-024-01343-5</a></p> <p>This repository includes the following files: </p> <p><strong><em>dd_all.csv</em> </strong>- Includes all data for the individual samples that are presented in the manuscript.</p> <p><strong><em>Var_names_dd_all.csv</em> </strong>- Describes all variables in <em>dd_all</em> with corresponding unit </p> <p><strong><em>dd_site_average.csv</em></strong> - Includes all data that has been determined on composite samples for each site or the average of all samples per site </p> <p><strong><em>Var_names_dd_site_average.csv</em></strong>  -  Describes all variables in <em>dd_site_average.csv</em> with corresponding unit</p> <p>All .csv use "," as separator. </p> <p>This data set is also connected to Schiedung et al. (2022, Catena <a href="https://doi.org/10.1016/j.catena.2022.106194"> https://doi.org/10.1016/j.catena.2022.106194</a> ) and the corresponding repository: <a href="../records/10609291">https://zenodo.org/records/10609291</a></p>

Raw data for the submitted manuscript entitled "Mapping and Disposal of Irrigation Pipes for a Sustainable Management of Agricultural Plastic Waste", authors Ileana Blanco, Giuliano Vox, Fabiana Convertino, and Evelia Schettini

<p><span>The file regards the evaluation of plastic indexes and agricultural plastic waste quantities in Apulia region due to the use of irrigation pipes. The data is used to identify the critical areas for plastic waste production due to irrigation pipes.</span></p>

Raw data for the submitted manuscript entitled "Prospective Scenarios for Addressing the Agricultural Plastic Waste Issue: Results of a Territorial Analysis"

<p><span>Agricultural activities have been positively affected by the use of plastic products, but this has resulted in the production of plastic waste and led to an increase in environmental pollution.  </span><span>This file concerns plastic waste indices to different crop types and plastic products allowed quantifying and georeferencing actual plastic waste production. Two improved scenarios were considered, the first consisted of extending the lifespan of some plastics, and the second entailed the introduction of some biodegradable alternatives. </span></p>

Bioactivity of small-molecule compounds against Haemonchus contortus

<div> <div> <div> <p>This dataset of small-molecule compounds and their effects on <em>H. contortus </em>was assembled based on the results obtained from screening two compound libraries (Medicines for Malaria Venture Pathogen Box, Compounds Australia Open Scaffolds set) to assess the effect of compounds on the motility of exsheathed third-stage larvae (xL3) of <em>H. contortus </em>(Preston et al., 2016, 2017). Additionally, select literature data were included to augment the in-house generated data.</p> </div> </div> </div>

opencc-by-4.0May 2024View details →

Data for: "Continental-scale patterns in diel flight timing of high-altitude migratory insects"

<p>This dataset contains the proportional migratory insect intensity and traffic data used in Haest <em>et al.</em> (2024) to quantify patterns in diel flight periodicity of migratory insects between 50-500m above ground level during March-October 2021 using a network of seventeen vertical-looking radars across Europe. Please see the Materials and Methods section in Haest <em>et al.</em> (2024) for more details on the dataset. </p>

On the Moreau–Jean scheme with the Frémond impact law: energy conservation and dissipation properties for elastodynamics with contact, impact and friction — data

<p>This deposit contains the data output of the systems described in <a href="https://hal.science/hal-04230941">On the Moreau–Jean scheme with the Frémond impact law. Energy conservation and dissipation properties for elastodynamics with contact impact and friction.</a> The codes that generated this data are available in another <a href="../records/10953181">deposit</a> archived on Zenodo, as well as in a GitHub repository archived on <a href="https://archive.softwareheritage.org/swh:1:dir:33ff6d960b70505c7939c0ce21c039cabbe1351c;origin=https://github.com/nickcollins-craft/On-the-Moreau-Jean-scheme-with-the-Fremond-impact-law;visit=swh:1:snp:72aede3d3a464732a36ef79c20ef07eebd1f9918;anchor=swh:1:rev:b63b68c25e72d23d7d9ee30225165fa0ebffb3c2">Software Heritage</a>, which is the preferred method of obtaining the codes. Two of the files in this deposit ("deformed_sliding_block_mesh.png" and "sliding_block_mesh.png") are required for one of the codes in the code deposit to run successfully ("block_mesh_plot.py", with the files assumed to be located in the folder specified in the data_folder variable of the file "path_file.py"), but the deposits are otherwise independent.</p>

Labelled acoustic dataset of roding Eurasian Woodcock (Scolopax rusticola)

<p>This dataset contains manually labelled audio data of roding Eurasian Woodcock  (<em>Scolopax rusticola</em>). </p> <h2><strong>Description</strong></h2> <p>Bioacoustic surveys of roding Eurasian Woodcock were conducted in Baden-Württemberg, Germany in May and June in 2020 and 2021. The audio data of this collection was used for the evaluation of BirdNET as a means for the automated analysis of large quantities of audio data. The original dataset consisted of 12.236 minutes of recording, which were reviewed manually. Each call element of a male roding Woodcock (i.e. croak, whistle, chasing male) was annotated. Individual call elements were subsequently clustered into so called roding events, which are ecologically more meaningful. BirdNET was then tested against this manually labelled dataset.</p> <p>The dataset uploaded to zenodo contains:</p> <ul> <li>audio data of 2545 woodcock call element selections with a duration of 145 minutes</li> <li>audio data of 782 aggregated woodcock roding events with a duration of 115 minutes </li> <li>selection tables for call elements and roding events</li> <li>associated metadata</li> </ul> <p>Audio information in between roding events (i.e. non woodcock audio) ist not included due to data privacy reasons (see below). </p> <h3>Selections</h3> <p>Woodcock call elements were manually selected/annotated in Raven Pro with bounding boxes. For this dataset, all selections with a duration of less than 3 seconds were extended symmetrically until 3 seconds were reached. This may result in overlapping selections in the case of croaks that are directly followed by a whistle. Signals at the beginning or end of these selections may thus be included twice.</p> <h3>Roding events</h3> <p>A roding event was defined as a continuous series of Woodcock call elements with a maximum gap of six seconds between consecutive elements. Each event can be interpreted as a roding bird that passes by the recording location, similar to a typical woodcock roding survey conducted by a human observer. Roding events were not created with the extended 3 seconds clips described above, but with the original bounding box selections drawn in Raven Pro.</p> <h3>Audio files</h3> <ul> <li>selections.zip: each wav-file contains a single selections. Filenames correspond to the column selec in the table <em>selections.csv</em></li> <li>events.zip: each wav-file contains a single roding event, typically consisting of multiple call elements (croaks and/or whistles). In the case of faint signals of distant birds, roding events may consist of a single call element only. Filenames correspond to the column <em>event.id</em> in the table<em> events.csv</em>.</li> </ul> <h2><strong>Data collection</strong></h2> <p>All wav-files in this dataset originate from audio files that were recorded with autonomous recording units of the type AudioMoth. ARUs were housed in  custom made waterproof casings (See details and files for 3D-printing: https://www.thingiverse.com/thing:6428228). ARUs were programmed to record continuously for 2 hours during dusk and were placed at edges of forest clearings. The devices were mounted to tree trunks at a height of approximately 1.5m above ground. </p> <h2><strong>Metadata files</strong></h2> <table> <tbody> <tr> <td><strong>filename</strong></td> <td><strong>content</strong></td> </tr> <tr> <td>sites.csv</td> <td> <p>contains locations of the recording sites. Since exact recording locations can not be made public, only recording sites (= cells of the 1km² UTM-grid) are provided. CRS: EPSG - 25832, ETRS89 / UTM 32N </p> <p>Data source of the underlying ETRS89 UTM 32N grid: https://gdz.bkg.bund.de/index.php/default/digitale-geodaten/nicht-administrative-gebietseinheiten/geographische-gitter-fur-deutschland-in-utm-projektion-geogitter-national.html</p> <p><strong>columns</strong></p> <p>site.id = unique id of recording sites,</p> <p>cellcode = official cellcode of the 1km²-UTM-grid</p> <p>elevation = mean elevation a.s.l.</p> <p>x.centroid = x-coordinate of centroid (EPSG: 25832)</p> <p>y.centroid = y-coordinate of centroid (EPSG: 25832)</p> <p>wkt.geometry = polygon geometry of the grid cell</p> </td> </tr> <tr> <td>arus.csv</td> <td> <p>metadata of the recording hardware</p> <p> </p> <p><strong>columns</strong></p> <p>aru.id = unique id of recording device</p> <p>type = recorder type</p> <p>manufacturer = manufacturer of recording hardware</p> <p>hardware.version = hardware version of the recording device</p> <p>acquisition.date = date the device was purchased (for reasons of microphone degradation)</p> </td> </tr> <tr> <td>deploys.csv</td> <td> <p>information on recorder deployment, includes aru settings, location, recording times </p> <p> </p> <p><strong>columns</strong></p> <p>deploy.id = unique id of recorder deployment</p> <p>aru.id = unique id of deployed aru</p> <p>start.date = date the aru was deployed in the field (YYYY-MM-DD)</p> <p>end.date = date the aru was collected (YYYY-MM-DD)</p> <p>firmware = firmware version used in this deployment</p> <p>rec.periods = number of daily recording periods (corresponds to start.rec1, start.rec2 ...)</p> <p>sample.rate = sample rate in kHz</p> <p>gain = gain setting</p> <p>sleep.duration = duration off stand-by phases in seconds, when set on a sleep/record-cycle</p> <p>rec.duration = duration of each recording in seconds, when set on a sleep/record-cycle</p> <p>start.rec1 = start of first recording period (UTC, hh:mm:ss)</p> <p>end.rec1 = end of first recording period (UTC, hh:mm:ss)</p> <p>start.rec2 = start of secondrecording period (UTC, hh:mm:ss)</p> <p>end.rec2 = end of second recording period (UTC, hh:mm:ss)</p> <p>site.id = unique id of recording site</p> </td> </tr> <tr> <td>recordings.csv</td> <td> <p>metadata of the audio files from which the roding events originate</p> <p> </p> <p> <strong>columns</strong></p> <p>recording.id = unique id of the recording</p> <p>deploy.id = unique id of aru deployment, during which the recording was made</p> <p>date = date on which the recording was made (YYYY-MM-DD)</p> <p>time = time of day at which the recording started (UTC, hh:mm:ss)</p> <p>duration = duration in seconds</p> <p>sampler.rate = sample rate in kHz</p> <p>channels = number of channels</p> <p>bits = bit depth</p> <p>samples = number of audio samples</p> <p>gain = gain setting of the aru</p> <p>voltage = battery voltage of the aru during recording</p> <p>temperature = ambient temperature during recording </p> <p>reviewer = anonymous id of staff who reviewed the file and annotated calls</p> <p> </p> </td> </tr> <tr> <td>selections.csv</td> <td> <p>manually labelled woodcock call elements (i.e. croaks, whistles, chases). Short selections were extended to 3 seconds by symmetrically adding time before and after the original selection. In the format of raven pro selection tables.</p> <p> </p> <p> <strong>columns</strong></p> <p>selec = unique id of the selection. Corresponds to the filename of the wav-files in the archive <em>selections.zip</em></p> <p><em>deploy.id = unique id of the aru deployment during which the roding event was recorded</em></p> <p>channel = audio channel</p> <p>start = start of the event in seconds from the start of the recording</p> <p>end = end of the event in seconds from the start of the recording</p> <p>bottom.freq = bottom frequency of the annotation bounding box</p> <p>top.frequency = top frequency of the annotation bounding box</p> <p>species.code = species code as used by BirdNET</p> <p>common.name = English common name as used by BirdNET</p> <p>annotation = contains annotations of call elements that are pooled in the roding event. Thus typcally equal to the number of annotated call element </p> <p>recording.id = id of the recording this roding eventoriginates from</p> </td> </tr> <tr> <td>events.csv</td> <td> <p>aggregated roding events consisting of contiuous sequences of manually labelled call elements. In the format of raven pro selection tables</p> <p> </p> <p> <strong>columns</strong></p> <p>event.id = unique id of roding event. Corresponds to the filename of the wav-files in the archive <em>events.zip </em></p> <p>channel = audio channel</p> <p>start = start of the event in seconds from the start of the recording</p> <p>end = end of the event in seconds from the start of the recording</p> <p>bottom.freq = bottom frequency of the annotation bounding box</p> <p>top.frequency = top frequency of the annotation bounding box</p> <p>species.code = species code as used by BirdNET</p> <p>common.name = English common name as used by BirdNET</p> <p>annotation = contains annotations of call elements that are pooled in the roding event. Thus typcally equal to the number of annotated call element </p> <p>recording.id = id of the recording this roding eventoriginates from</p> <p>deploy.id = unique id of the aru deployment during which the roding event was recorded</p> </td> </tr> <tr> <td>removed_audio_files.txt</td> <td>selection ids and event ids of audio files that were deleted because they included voices. Their metadata is still included in the files described above</td> </tr> </tbody> </table> <p> </p> <h2><strong>Data privacy</strong></h2> <p>Selections and roding events were checked for human voices and audio information was removed, in case it contained any. Audio segments that did not contain woodcock calls were not completely checked for human voices  and can thus not be made available.</p>