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25 results for “Gothenburg”
Activity based synthetic population of residents for Gothenburg, Sweden
<p>A synthetic population is a distribution of synthetic agents that replicates the demographic distribution of a real-world population according to census records.<br>This dataset contains a synthetic population of residents in the city of Gothenburg in Sweden, along with activity schedules and mobility patterns for 2019. The synthetic population model is designed for applications in neighbourhood planning and includes detailed replicas of people in different neighbourhoods of Gothenburg organized as persons, households, houses, buildings, and daily activity chains. While the persons, households, and houses are synthetic replicas, they are connected to existing buildings.<br>The model considers the allocation of primary and secondary locations based on a gravity model, realistic routing for active, public and private motorised modes of transportation and allows users to introduce new buildings and amenities if needed. The population data is provided as an SQLite3 database file for each neighbourhood of Gothenburg.</p>
Linked collectors and determiners for: Living Collection of the Gothenburg Botanical Garden.
Natural history specimen data linked to collectors and determiners held within, "Living Collection of the Gothenburg Botanical Garden". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/ea05dcbd-0d05-4785-9313-0ec68cb90426">https://bionomia.net/dataset/ea05dcbd-0d05-4785-9313-0ec68cb90426</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/ea05dcbd-0d05-4785-9313-0ec68cb90426">https://gbif.org/dataset/ea05dcbd-0d05-4785-9313-0ec68cb90426</a>. Formatted as a Frictionless Data package.
Linked collectors and determiners for: Vertebrates of the Gothenburg Natural History Museum (GNM).
Natural history specimen data linked to collectors and determiners held within, "Vertebrates of the Gothenburg Natural History Museum (GNM)". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/ed3dff78-fb73-4b77-909a-b78f9ef78d34">https://bionomia.net/dataset/ed3dff78-fb73-4b77-909a-b78f9ef78d34</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/ed3dff78-fb73-4b77-909a-b78f9ef78d34">https://gbif.org/dataset/ed3dff78-fb73-4b77-909a-b78f9ef78d34</a>. Formatted as a Frictionless Data package.
Linked collectors and determiners for: Invertebrates of the Gothenburg Natural History Museum (GNM).
Natural history specimen data linked to collectors and determiners held within, "Invertebrates of the Gothenburg Natural History Museum (GNM)". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/be07e8c1-0d79-4e39-9697-2a9ec687f8f8">https://bionomia.net/dataset/be07e8c1-0d79-4e39-9697-2a9ec687f8f8</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/be07e8c1-0d79-4e39-9697-2a9ec687f8f8">https://gbif.org/dataset/be07e8c1-0d79-4e39-9697-2a9ec687f8f8</a>. Formatted as a Frictionless Data package.
Linked collectors and determiners for: Molluscs of the Gothenburg Natural History Museum (GNM).
Natural history specimen data linked to collectors and determiners held within, "Molluscs of the Gothenburg Natural History Museum (GNM)". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/7fcf98b0-0c63-11dd-84d0-b8a03c50a862">https://bionomia.net/dataset/7fcf98b0-0c63-11dd-84d0-b8a03c50a862</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/7fcf98b0-0c63-11dd-84d0-b8a03c50a862">https://gbif.org/dataset/7fcf98b0-0c63-11dd-84d0-b8a03c50a862</a>. Formatted as a Frictionless Data package.
Linked collectors and determiners for: Herbarium GB, University of Gothenburg.
Natural history specimen data linked to collectors and determiners held within, "Herbarium GB, University of Gothenburg". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/f8f35535-8c10-43fc-89dc-eb0843f25394">https://bionomia.net/dataset/f8f35535-8c10-43fc-89dc-eb0843f25394</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/f8f35535-8c10-43fc-89dc-eb0843f25394">https://gbif.org/dataset/f8f35535-8c10-43fc-89dc-eb0843f25394</a>. Formatted as a Frictionless Data package.
ADCP Gothenburg 2018
<p><strong>Note: </strong>This is version two of the data set. In a previous version (https://doi.org/10.5281/zenodo.5066997), the vertical beam velocities were missing.</p> <p>A bottom mounted mooring with a fixed upward-looking Nortek Signature 500 ADCP was deployed under the ship lane to Gothenburg Harbour at 32 m depth, position (57.61178 N, 11.66102 E) in the period 28 August to 25 September 2018. The ADCP was set up to measure and store single ping, along beam current velocities, using four slanted beams (25° angle) and one vertical beam (ping frequency 1 Hz, vertical cell size 1 m on all beams). The instrument was set up with 38 bins numbered from 1 to 38 with #1 closest to the instrument centered 1 m above the transducers.</p> <p>The data set contains raw data from the instrument, converted to csv format with the Nortek Deployment software.</p> <p><strong>Processing:</strong> This is raw data, so no processing has been performed.</p> <p><strong>Notes</strong>:</p> <p>- Beam #2 is not working, so those data do not make sense.</p> <p>- Data from about 10% of the depth below the surface and above should not be used.</p> <p><strong>Files:</strong> </p> <p>*#B0_#.csv: Data from the four slanted beams. Each row is one ping. Header in first row.</p> <p>*#IB0_#.csv: Data from the vertical beam. Each row is one ping. Header in first row.</p> <p><strong>Parameters:</strong></p> <p>DateTime: Date and time in format MM/DD/YYYY hh:mm:ss</p> <p>Ensemble: Ping number</p> <p>Battery: Battery voltage</p> <p>Heading: Instrument heading in deg.</p> <p>Pitch: Instrument pitch in deg.</p> <p>Roll: Instrument roll in deg.</p> <p>Pressure: Pressure in dBar</p> <p>Temperature: Temperature in deg C.</p> <p>Vel#N: Vertical beam velocity (m/s) for bin N</p> <p>VelM#N: Beam velocity (m/s) for beam M and bin N </p> <p>Amp#N: Vetical beam amplitude for bin N</p> <p>AmpM#N: Beam amplitude for beam M and bin N </p> <p>CorrM#N: Correlation for beam M and bin N </p> <p>AltimeterDistanceLE: Distance from transducer to surface (m)</p> <p> </p> <p> </p>
Utilization of outdoor spaces for specific activities (Barcelona, Rotterdam, Gothenburg): ratings and reasoning
<p>What outdoor spaces are more likely to be used for different activities?</p> <p>In this repository, we share the data we collected and analysed to explore the impact of physical characteristics of outdoor spaces on<br>the probability of utilization across diverse individuals, considering various age and gender groups.</p> <p>To collect this data we performed a crowdsourcing campaign. We recruited 409 participants from 21 European countries. To ensure a diverse range of outdoor spaces’ physical characteristics, our selection includes a range of spaces such as public squares, open marketplaces, greenspaces, pocket parks, play spaces, and streets, sourced from three European cities: Rotterdam, Barcelona, and Gothenburg. In our experiments, we presented to participants five different outdoor spaces and asked them to indicate to what degree, and why, they consider them suitable for any of the aforementioned activities.</p> <p>In total we collected data for 413 spaces representing 102 public open spaces, 107 streets, 114 greenspaces, 91 pocket parks, and 84 play spaces.</p> <p>In particular this dataset includes:</p> <ul> <li>9700 ratings of outdoor spaces likely use for different activities (Likert scale 1-5)</li> <li>6388 short explanations of these ratings</li> <li>Each space is assigned a geolocation and a gsv_id which links this location to its corresponding google street view image</li> </ul>
Wrecks 5 Gothenburg
Wrecks 5 from Gothenburg Source: Objaverse 1.0 / Sketchfab
Supplementary material 3 from: Abarenkov K, Adams RI, Irinyi L, Agan A, Ambrosio E, Antonelli A, Bahram M, Bengtsson-Palme J, Bok G, Cangren P, Coimbra V, Coleine C, Gustafsson C, He J, Hofmann T, Kristiansson E, Larsson E, Larsson T, Liu Y, Martinsson S, Meyer W, Panova M, Pombubpa N, Ritter C, Ryberg M, Svantesson S, Scharn R, Svensson O, Töpel M, Unterseher M, Visagie C, Wurzbacher C, Taylor AFS, Kõljalg U, Schriml L, Nilsson RH (2016) Annotating public fungal ITS sequences from the built environment according to the MIxS-Built Environment standard – a report from a May 23-24, 2016 workshop (Gothenburg, Sweden). MycoKeys 16: 1-15. https://doi.org/10.3897/mycokeys.16.10000
Krona chart : Explanation note: Interactive Krona chart for visualizing the taxonomic distribution of annotated BMS sequences down to order level. Sequences classified as Fungi sp. (36.4%) or non-fungal (0.9%) were excluded from this dataset.
Supplementary material 1 from: Abarenkov K, Adams RI, Irinyi L, Agan A, Ambrosio E, Antonelli A, Bahram M, Bengtsson-Palme J, Bok G, Cangren P, Coimbra V, Coleine C, Gustafsson C, He J, Hofmann T, Kristiansson E, Larsson E, Larsson T, Liu Y, Martinsson S, Meyer W, Panova M, Pombubpa N, Ritter C, Ryberg M, Svantesson S, Scharn R, Svensson O, Töpel M, Unterseher M, Visagie C, Wurzbacher C, Taylor AFS, Kõljalg U, Schriml L, Nilsson RH (2016) Annotating public fungal ITS sequences from the built environment according to the MIxS-Built Environment standard – a report from a May 23-24, 2016 workshop (Gothenburg, Sweden). MycoKeys 16: 1-15. https://doi.org/10.3897/mycokeys.16.10000
Keywords used to identify fungal sequences from the built environment in the INSDC : Explanation note: Keywords used to identify fungal sequences from the built environment in the INSDC.
Supplementary material 2 from: Abarenkov K, Adams RI, Irinyi L, Agan A, Ambrosio E, Antonelli A, Bahram M, Bengtsson-Palme J, Bok G, Cangren P, Coimbra V, Coleine C, Gustafsson C, He J, Hofmann T, Kristiansson E, Larsson E, Larsson T, Liu Y, Martinsson S, Meyer W, Panova M, Pombubpa N, Ritter C, Ryberg M, Svantesson S, Scharn R, Svensson O, Töpel M, Unterseher M, Visagie C, Wurzbacher C, Taylor AFS, Kõljalg U, Schriml L, Nilsson RH (2016) Annotating public fungal ITS sequences from the built environment according to the MIxS-Built Environment standard – a report from a May 23-24, 2016 workshop (Gothenburg, Sweden). MycoKeys 16: 1-15. https://doi.org/10.3897/mycokeys.16.10000
Annotations made during the workshop : Explanation note: The annotations made during the workshop shown with original INSDC data. For the BMS, we targeted nine MIxS-BE items plus country of collection, host of collection, host association, and a general "Comment" field. For the OMS, we targeted country of collection, host of collection, host association, and a general "Comment" field.
Effectiveness of Insoles Provided to Patients With Diabetes. A Longitudinal Randomized Controlled Study in Gothenburg
ClinicalTrials.gov study NCT01663519. IPD Sharing: Not stated. Countries: 1. Publications: 2.
Uterus Transplantation From Live Donors With Robotic Assisted Surgery - Gothenburg II
ClinicalTrials.gov study NCT02987023. IPD Sharing: NO. Countries: 1. Publications: 5.
GOThenburg Very Early Supported Discharged
ClinicalTrials.gov study NCT01622205. IPD Sharing: Not stated. Countries: 1. Publications: 6.
SALGOT; Stroke Arm Longitudinal Study at the University of GOThenburg
ClinicalTrials.gov study NCT01115348. IPD Sharing: Not stated. Countries: 1. Publications: 9.
Fall Study in Gothenburg (FallsGOT)
ClinicalTrials.gov study NCT02264470. IPD Sharing: Not stated. Countries: 1. Publications: 4.
GotNet Study, The Gothenburg Nurse-led Tight Control Study
ClinicalTrials.gov study NCT02019901. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Figure 3 from: Abarenkov K, Adams RI, Irinyi L, Agan A, Ambrosio E, Antonelli A, Bahram M, Bengtsson-Palme J, Bok G, Cangren P, Coimbra V, Coleine C, Gustafsson C, He J, Hofmann T, Kristiansson E, Larsson E, Larsson T, Liu Y, Martinsson S, Meyer W, Panova M, Pombubpa N, Ritter C, Ryberg M, Svantesson S, Scharn R, Svensson O, Töpel M, Unterseher M, Visagie C, Wurzbacher C, Taylor AFS, Kõljalg U, Schriml L, Nilsson RH (2016) Annotating public fungal ITS sequences from the built environment according to the MIxS-Built Environment standard – a report from a May 23-24, 2016 workshop (Gothenburg, Sweden). MycoKeys 16: 1-15. https://doi.org/10.3897/mycokeys.16.10000
Figure 3 - Analysis of the MIxS-BE "building occupancy type" (type of building where the underlying sample was taken).
Figure 2 from: Abarenkov K, Adams RI, Irinyi L, Agan A, Ambrosio E, Antonelli A, Bahram M, Bengtsson-Palme J, Bok G, Cangren P, Coimbra V, Coleine C, Gustafsson C, He J, Hofmann T, Kristiansson E, Larsson E, Larsson T, Liu Y, Martinsson S, Meyer W, Panova M, Pombubpa N, Ritter C, Ryberg M, Svantesson S, Scharn R, Svensson O, Töpel M, Unterseher M, Visagie C, Wurzbacher C, Taylor AFS, Kõljalg U, Schriml L, Nilsson RH (2016) Annotating public fungal ITS sequences from the built environment according to the MIxS-Built Environment standard – a report from a May 23-24, 2016 workshop (Gothenburg, Sweden). MycoKeys 16: 1-15. https://doi.org/10.3897/mycokeys.16.10000
Figure 2 - Krona chart of the taxonomic affiliation of the BMS sequences down to order level. The Krona chart lists all annotated BMS sequences except those classified as Fungi sp. (36.4%) and those of non-fungal origin (0.9%). An interactive version of the Krona chart is provided as Suppl. material 3. The figure includes pre-existing data plus the data added during the workshop, such that these charts indicate the scientific state of ITS-based Sanger-derived sequencing of the built mycobiome as of spring 2016. Sequences that were not annotated with a single built environment-related term in the INSDC were not included in this effort, and are not represented in these charts.
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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)
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.