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1,838 results for “location”
Daily location data for pronghorn collared on the Modoc Plateau, CA
<p>The data set contains the average daily location of pronghorn collared on the Modoc Plateau in northern California. The location data represent the average UTM easting and northing of all locations recorded for each animal on a given day. Locations were recorded every 1-6 hours. All data points were collected in North American UTM zone 10.</p> <p>There are 8 columns of data:</p> <p>Pronghorn.ID: Unique identifier for each individual pronghorn. First letter corresponds to the animal's sex (F=female, M=male).</p> <p>day.ave.Easting: the average UTM Easting value of all GPS locations recorded for the day.</p> <p>day.ave.Northing:the average UTM Northing value of all GPS locations recorded for the day.</p> <p>Year: The year data point was collected.</p> <p>Month: The month data point was collected.</p> <p>week: The week of the year that the data point was collected.</p> <p>Day: Day of the month the data point was collected.</p> <p>post.capt: Number of days since the animal was captured and collared.</p> <p>day.ave.Easting: the average UTM Easting value of all GPS locations recorded for the day. Data points are all in North American UTM zone 10.</p> <p> </p>
Global Dam Tracker: A database of more than 35,000 dams with location, catchment, and attribute information
<p><strong>Citation</strong></p> <p>Zhang, Alice Tianbo, and Vincent Xinyi Gu. 2023. “Global Dam Tracker: A Database of More than 35,000 Dams with Location, Catchment, and Attribute Information.” <em>Scientific Data</em> 10 (1): 111.</p> <p><a href="https://www.nature.com/articles/s41597-023-02008-2">https://www.nature.com/articles/s41597-023-02008-2</a></p> <p> </p> <p><strong>Description</strong></p> <p>We present one of the most comprehensive geo-referenced global dam databases to date. The Global Dam Tracker (GDAT) contains 35,000 dams with cross-validated geo-coordinates, satellite-derived catchment areas, and detailed attribute information. Combining GDAT with fine-scaled satellite data spanning three decades, we demonstrate how GDAT improves upon existing databases to enable the inter-temporal analysis of the costs and benefits of dam construction on a global scale. Our findings show that over the past three decades, dams have contributed to a dramatic increase in global surface water coverage, especially in developing countries in Asia and South America. This is an important step toward a more systematic understanding of the worldwide impact of dams on local communities. By filling in the data gap, GDAT would help inform a more sustainable and equitable approach to energy access and economic development.</p>
Synaptic gradients transform object location to action: data and outputs
<p>Data an outputs associated with the following article:</p> <p>Dombrovski, M., Peek, M.Y., Park, JY. <em>et al.</em> Synaptic gradients transform object location to action. <em>Nature (2023)</em>. <a href="https://doi.org/10.1038/s41586-022-05562-8">https://doi.org/10.1038/s41586-022-05562-8</a></p> <p>and the following software:</p> <p><a href="https://github.com/avaccari/DrosophilaVPNWiring">https://github.com/avaccari/DrosophilaVPNWiring</a></p>
datset related to article "THE NOVEL I213S MUTATION IN PSEN1 GENE IS LOCATED IN A HOTSPOT CODON ASSOCIATED WITH FAMILIAL EARLY-ONSET ALZHEIMER'S DISEASE"
<p><strong>Electropherogram of the proband psen1 exon 7</strong></p> <p><strong>ngs analysis of causal and risk genes associated to dementia</strong></p>
Locating undocumented orphaned oil and gas wells with smartphones
<p>Majority of the estimated 3 million abandoned oil and gas wells in the U.S. have missing documents and lack surface equipment making them difficult to locate. However, most of them have casings made of iron alloys which are magnetic and can be sensed by magnetometers. Here we utilize an iPhone 12 mini smartphone as a magnetometer to locate two abandoned wells. We designed a simple unmanned aerial vehicle (UAV) survey setup where the iPhone 12 mini was hung from an inexpensive small drone. We surveyed the two sites by flying the drone at altitudes, 10 m, 15 m, and 20 m above ground level. Our results show that at altitude of 10 magl the smartphone magnetometer could pick the magnetic anomaly of either of the wells at intensities ≥ 52 μT; sufficient to accurately locate the wells. At altitude of 15 magl the smartphone could locate the wells within ~5 m radius of the actual wells’ location, and it was unable to detect any magnetic anomalies at 20 magl. Simplicity of the setup, minimal required scientific knowledge and low cost of the setup makes this setup an ideal tool for locating orphaned wells by citizen scientists.</p>
DATA7: A dataset that uses synthetic trajectories of vehicles and real cellular tower locations to simulate the workload of Edge nodes in the city of Pisa
<p><strong>Description</strong></p> <p>The dataset contains observations of vehicles in the range of edge nodes (cellular towers). The trajectories of vehicles are synthetically generated with <a href="https://www.eclipse.org/sumo/">SUMO</a>. The cellular tower positions have been taken from <a href="https://opencellid.org/">OpenCelliD</a>. The dataset is in the comma-separated values (CSV) format, and is around 220MB decompressed.</p> <p><br> The CSV contains the following fields:<br> * edge_id: unique identifier of the edge devices<br> * edge_lat: latitude coordinate of the edge device<br> * edge_lon: longitude coordinate of the edge device<br> * time: simulation step of the observation<br> * vehicle_id: unique identifier of the vehicle<br> * vehicle_lat: latitude coordinate of the vehicle<br> * vehicle_lon: longitude coordinate of the vehicle<br> * distance: geodesic distance in meters from the vehicle and the edge device</p>
Consensual videos of potentially re-identifiable individuals recorded at the Autonomous Driving Test Area Baden-Württemberg (raw images with location and IMU data).
<p>For the purpose of research on data intermediaries and data anonymisation, it is necessary to test these processes with realistic video data containing personal data. For this purpose, the <a href="http://treumoda.de">Treumoda</a> project, funded by the German Federal Ministry of Education and Research (BMBF), has created a dataset of different traffic scenes containing identifiable persons.</p> <p>This video data was collected at the <a href="https://taf-bw.de/">Autonomous Driving Test Area Baden-Württemberg</a>. On the one hand, it should be possible to recognise people in traffic, including their line of sight. On the other hand, it should be usable for the demonstration and evaluation of anonymisation techniques.</p> <p><strong>The legal basis for the publication of this data set the consent given by the participants as documented in the file Consent.pdf (all purposes) in accordance with Art. 6 1 (a) and Art. 9 2 (a) GDPR. Any further processing is subject to the GDPR.</strong></p> <p>We make this dataset available for non-commercial purposes such as teaching, research and scientific communication. Please note that this licence is limited by the provisions of the GDPR. Anyone downloading this data will become an independent controller of the data. This data has been collected with the consent of the identifiable individuals depicted.</p> <p>Any consensual use must take into account the purposes mentioned in the uploaded consent forms and in the privacy terms and conditions provided to the participants (see Consent.pdf). All participants consented to all three purposes, and no consent was withdrawn at the time of publication. KIT is unable to provide you with contact details for any of the participants, as we have removed all links to personal data other than that contained in the published images.</p>
Instances and detailed results for the whole testbed of "The Storage Location Assignment and Picker Routing Problem: A Generic Branch-Cut-and-Price Algorithm"
<p>This repository contains the instances and detailed results used for the computational experiments in the article "The Storage Location Assignment and Picker Routing Problem: A Generic Branch-Cut-and-Price Algorithm". Two sets of instances are used:</p> <p><br> The first set of instances comes from the paper "Integrating storage location and order picking problems in warehouse planning" authored by Allyson Silva, Leandro C. Coelho, Maryzam Darvish and Jacques Renaud.<br> https://doi.org/10.1016/j.tre.2020.102003<br> Their instances are available on the following website: https://www.leandro-coelho.com/slot-assignment-and-order-picking/</p> <p><br> The second set of instances comes from the paper "Storage assignment for newly arrived items in forward picking areas with limited open locations" authored by Xiaolong Guo, Ran Chen, Shaofu Du and Yugang Yu.<br> https://doi.org/10.1016/j.tre.2021.102359<br> The set of small instances is made available on this repository, with the kind permission of the authors.</p>
Locations of dog waste bins in Zagreb, Croatia
<p>Locations of dog waste bins (point vector layer), dog parks, and green areas for walking dogs off-leash (both polygon vector layers) in the city of Zagreb were collected during the field survey in 2020 based on available government sources. The upload consists of .shp, .geojson, and .csv files for the point vector layer and .shp and .geojson files for polygon vector layers. The CRS for all layers is WGS84 (EPSG:4326).</p>
Replication Package for: Mapping Firms' Locations in Technological Space: A Topological Analysis of Patent Statistics
<p>This replication package contains the data and the code to generate the paper’s main results, as well as the Online Appendix, for “Mapping Firms’ Locations in Technological Space: A Topological Analysis of Patent Statistics” by Emerson G. Escolar, Yasuaki Hiraoka, Mitsuru Igami, and Yasin Ozcan (published in <em>Research Policy</em>, volume 52, issue 8, October 2023; full text available online at https://doi.org/10.1016/j.respol.2023.104821).</p>
Figure 2. Goulburn Valley Highway fossil location F103 in Taungurungia gen. nov., from the Lower Devonian of Yea, central Victoria, Australia
Figure 2. Goulburn Valley Highway fossil location F103 (Garratt 1980): a, F103 located about 5 km west of Yea; b, part of F103 exposure (37° 12' 30" S; 145° 21' 56" E) with arrow at location where Taungurungia garrattii gen. et sp. nov. was found in situ. Map after Garratt (1978) and positioning of Strathbogie Batholith after VandenBerg (1997).
Endingless Locatives in Vedic Sanskrit by Stress Type
<p>Data for the forthcoming paper "The Unexceptional Stress of the 'Endingless Locative' in Indo-European" (to appear in the <em>Proceedings of the 33rd Annual UCLA Indo-European Conference</em>). Collection of attested "endingless locatives" in Vedic Sanskrit, organized by paradigmatic stress type and whether their stress pattern is consistent with the principles hypothesized in the paper.</p>
Рис. 1. Основная точка сбора материаΛа, окрестности Ростова-на-Αону. Fig. 1. Location of study area in Rostov-on-Don vicinity. in To the fauna of chewing lice (Insecta: Phthiraptera) of birds (Aves: Falconiformes, Strigiformes) in the Lower Don region, Russia
Рис. 1. Основная точка сбора материаΛа, окрестности Ростова-на-Αону. Fig. 1. Location of study area in Rostov-on-Don vicinity.
Рис. 1. Наурзумский заповеΑник и его распоΛожение в Костанайской обΛасти (Казахстан). Fig. 1. Naurzum Reserve and its location in the Kostanay Region (Kazakhstan). in New data on spiders (Aranei) of the Naurzum State Natural Reserve (Kostanay Region, Kazakhstan)
Рис. 1. Наурзумский заповеΑник и его распоΛожение в Костанайской обΛасти (Казахстан). Fig. 1. Naurzum Reserve and its location in the Kostanay Region (Kazakhstan).
Supplementary data of article Integrating Data-Driven and Hydraulic Modelling with Acoustic Sensor Information for Improved Leak Location in Water Distribution Networks
<p>This dataset was generated within the research thesis of Axel Hutomo, under the supervision of Leonardo Alfonso and Ioana Popescu at IHE Delft, and it is published as supplementary data for the article <em>Integrating Data-Driven and Hydraulic Modelling with Acoustic Sensor Information for Improved Leak Location in Water Distribution Networks, </em>currently under review. </p> <p>The Excel sheet provides information about the datasets produced to integrate acoustic sensor data and hydraulic model output data, to be used by the Machine Learning model. The acoustic sensor data were obtained by extracting several features in time and frequency domains from each audio file coming from acoustic sensors, whereas hydraulic model data was obtained by modelling these leaks using a pressure-independent analysis.</p> <p>The Python code shows the building of the ANN for leakage modelling prediction, integrating the two datasets above, for different leak rates.</p>
Resting-state fMRI data for locating causal hubs of memory consolidation in spontaneous brain network
<p>The mouse fMRI data for the paper "<strong>Locating causal hubs of memory consolidation in spontaneous brain network in male mice</strong>"<strong> </strong>published in <strong>Nature Communications </strong>(DOI: 10.1038/s41467-023-41024-z)<strong>. </strong>This includes longitudinal resting-state fMRI data in mice after behavioural training for 1-Day or 5-Day Active Place Avoidance (APA) task, acquired at post-training day 1 and day 8. Due to the large datasets, each group has been packed into several 2GB zip files. They need to be downloaded into the same folder and unpacked together (e.g. 1-Day APA Post training day 1 has five zip files starting with "1DAPA_PostDay1"). The structural and EPI templates and the ROI labels in the AMBMC atlas space are provided in the AMBMC_label.zip. </p>
Fig. 2. Sampling locations, 2011–2020 in Notes on the Occurrence of Tintinnid Ciliates, and the Nasselarian Radiolarian Amphimelissa setosa of the Marine Microzooplankton, in the Chukchi Sea (Arctic Ocean) Sampled each August from 2011 to 2020
Fig. 2. Sampling locations, 2011–2020 in Chukchi Sea. See supplementary file for details of station locations and sampling dates. Colored zones indicate water column depth.
"I'm something of an untrained, unofficial cultural anthropologist myself. Ihave a business interviewing people to capture their personal histories. I'm always interested how people fit into their world and how they affect their world. I'm a graphic designer who works in the same building as the printing presses that I recorded. Iwalk past the presses every day on my way to talk to the folks in the prepress department. I'm on friendly but not drinking terms with the pressmen. I'm a friend with the prepress manager. Three Heidelberg presses are installed side by side in an open warehouse-like room. The presses are about twenty feet long and about five feet high. With their series of four humps or mounds where each printing cylinder is located, the presses remind one of giant, gray, mechanical caterpillars. Each press has a cyan cylinder, a magenta cylinder, a yellow cylinder and a black cylinder – so the humps are brightly colored. The presses are well lit by banks of fluorescent lights hanging from the ceiling over each press. When you walk into the press room you hear the sound of rock music blaring from a boom box radio mixed with the general din of the presses. It is only when you walk up to a press like Idid for the recordings that you really start to hear the individual strains of clicking, clacking and mechanical, syncopated chattering. When I made my recordings I was intrigued by the subtle variations in the sounds produced by these machines that aren't apparent when you first walk through the door. The pressmen were kind enough to allow me to walk right up to the presses and poke my microphone quite close to the rotating press cylinders. Iuse a Danish Pro Audio microphone about the size of a pencil eraser. An extremely sensitive mic with the capacity for capturing loud sounds such as the presses up close. Rotating the mic to one side or the other focused on the unique sounds coming from one cylinder or the other." [Kevin/KMerrell]18 in Collecting Sounds. Online Sharing of Field Recordings as Cultural Practice
"I'm something of an untrained, unofficial cultural anthropologist myself. Ihave a business interviewing people to capture their personal histories. I'm always interested how people fit into their world and how they affect their world. I'm a graphic designer who works in the same building as the printing presses that I recorded. Iwalk past the presses every day on my way to talk to the folks in the prepress department. I'm on friendly but not drinking terms with the pressmen. I'm a friend with the prepress manager. Three Heidelberg presses are installed side by side in an open warehouse-like room. The presses are about twenty feet long and about five feet high. With their series of four humps or mounds where each printing cylinder is located, the presses remind one of giant, gray, mechanical caterpillars. Each press has a cyan cylinder, a magenta cylinder, a yellow cylinder and a black cylinder – so the humps are brightly colored. The presses are well lit by banks of fluorescent lights hanging from the ceiling over each press. When you walk into the press room you hear the sound of rock music blaring from a boom box radio mixed with the general din of the presses. It is only when you walk up to a press like Idid for the recordings that you really start to hear the individual strains of clicking, clacking and mechanical, syncopated chattering. When I made my recordings I was intrigued by the subtle variations in the sounds produced by these machines that aren't apparent when you first walk through the door. The pressmen were kind enough to allow me to walk right up to the presses and poke my microphone quite close to the rotating press cylinders. Iuse a Danish Pro Audio microphone about the size of a pencil eraser. An extremely sensitive mic with the capacity for capturing loud sounds such as the presses up close. Rotating the mic to one side or the other focused on the unique sounds coming from one cylinder or the other." [Kevin/KMerrell]18
Figure 5. The two locations where periodical cicadas, Magicicada septendecim Brood X in Protandrous Arrival in a Population of the Periodical Cicada Magicicada septendecim (Linnaeus) (Hemiptera: Cicadidae) in Montgomery County, Maryland
Figure 5. The two locations where periodical cicadas, Magicicada septendecim Brood X, were counted in Silver Spring, Maryland, May–June 2004.
LiDAR reveals a preference for intermediate visibility by a forest-dwelling ungulate species: Deer locational data
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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)
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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.