Find research datasets worth reusing

opencc-by-4.0Apr 2024View details →

Plant Atlas 2020 — British and Irish vascular plant and charophyte 10 x 10 km grid square locations, subdivided by survey period, up to 2019

This resource provides the data behind the 10 × 10 km grid square (hectad) British and Irish distribution maps, for 3,497 taxa, presented in both the Plant Atlas 2020 book and website (<a href="http://www.plantatlas2020.org">www.plantatlas2020.org</a>), subdivided by time period<a>.</a> These are presence-only data, indicating where a taxon was reported from a hectad, within a given multi-year period, up to 2019. These time periods cover the 20th Century, but also extend back to the earliest botanical records known for Britain and Ireland in the first period (pre-1930). These 10 km square presences are based on over 30 million records, collected mainly by volunteer recorders of the Botanical Society of Britain and Ireland (BSBI) between 2000 and 2019, as well as previous nationwide surveys undertaken in the 1950s and 1990s.

opencc-by-4.0Nov 2023View details →

European Truck Parking Locations

### KAMO Update (v04) This updated dataset comprises N=13,323 real-world truck parking locations across Europe (EU-27, EFTA, and the UK), filtered for location alongside the TEN-T network. Locations origintate from from the previously published (N=19,713) and unpublished (N=32,251) locations and additional sources to refine and enhance the dataset. Documenation and methods are provided in the attached documentation. KAMO and Fraunhofer ISI does not assume any liability for completeness, correctness and accuracy of the information.  This dataset aims to support in identifying attractive, real-world charging infrastructure locations in Europe, facilitating the planning of national and European charging networks to boost e-truck diffusion and promote sustainable road freight transport. It benefits scientists, industry players, grid operators, and public authorities by providing precise local information as well as insights for infrastructure planning, energy demand modeling, and deployment along key transport corridors (TEN-T network) as prescribed per the EU's Alternative Fuels Infrastructure Regulation (AFIR). We have incorporated feedback from stakeholders compared to the previously published version. The update shall: <blockquote> Add missing locations and increase TEN-T coverage Supplement planning information Allow conclusions on the attractiveness of locations </blockquote> We recommend using this location data as input (or candidate locations) for coverage or optimization algorithms to identify a highly condensed set of optimal / most attractive locations. More information is available upon request. More information is available upon request.  ### Older versions (v01-v03) This geospatial dataset comprises N=19,713 real-world truck parking locations across Europe (EU-27, EFTA, and the UK). Data origintated from various sources including OpenStreetMap and commercial truck routing / geocoding software to identify publicly accessible and truck-certified parking locations. Using geospatial clustering helped to condense the dataset and reduce redundancies. Refining and enhancing the dataset involved supplementary datasets and several filters to obtain the final subset. Accordingly, GPS coordinates may not match exact locations but should be considered as reference point for detailed local analyses of ambient conditions and truck accessibility. Coverage and completeness varies among countries. Fraunhofer ISI does not assume any liability for completeness, correctness and accuracy of the information.  This dataset plays a pivotal role in identifying viable real-world locations for future alternative infrastructure sites for heavy-duty trucks, thereby acting as a crucial resource in promoting low-carbon road freight transport facilitated by electrified truck fleets. Infrastructure sites may comprise charging infrastructure for battery-electric trucks and hydrogen refuelling stations (HRS) for fuel-cell electric or hydrogen combustion trucks. Consequently, it can serve as a valuable asset for research in traffic science, future energy systems, and alternative truck powertrains. Its value extends to assisting industry stakeholders such as Charge Point Operators (CPOs), truck manufacturers, and grid network operators but also public authorities in aligning their efforts towards the deployment of alternative infrastructure.

opencc-by-4.0Oct 2024View details →

Integrated Datasets for analyses on potentially hazardous locations for women in Valencia, Dublin, San Francisco, and Toluca

This dataset provides a compilation of the data used to analyze and identify potentially dangerous places for women. Multiple data collection techniques, including official data downloads, web scraping, and participatory mapping, were combined for integration, applying specific processing. The datasets refer to four cities: Valencia (Spain), Dublin (Ireland), San Francisco (United States), and Toluca (Mexico). Depending on the availability and context of each city, the datasets are classified into three categories: DATA, TWT, and MAP. The DATA prefix refers to files containing the results of the analysis of socioeconomic variables downloaded from official sources; for the mapping, the standard territorial unit was a 25x25 m grid for Valencia and 50x50 m for Dublin and San Francisco. The files with the prefix TWT are composed of datasets containing tweets collected through web scraping and analyzed using natural language processing (NLP) algorithms and neural networks; the purpose is to identify and classify tweets related to gender violence, feelings of fear, or perceptions of insecurity. For MAP files, participants gathered them through participatory mapping processes, using specific calls to public space users and a supporting web application designed for this purpose. The files with the prefix POL contain datasets used for crime prediction based on crime density for the city of Valencia.

opencc-by-4.0Mar 2022View details →

Data for: What's in a game: Video game visual-spatial demand location exhibits a double dissociation with reading speed

The aggregate data in these datasets were used in analyses for "What’s in a game: Video game visual-spatial demand location exhibits a double dissociation with reading speed".

opencc-by-4.0Sep 2022View details →

MHD Model of Ganymede's Magnetosphere: Predicted OCFB and magnetic footprint surface locations for Juno's flyby

This dataset contains model results from a magnetohydrodynamic (MHD) model of Ganymede's magnetosphere adapted to Juno's PJ34 flyby in 2021. Here we publish coordinates for the predicted location of the open-closed-field line-boundary (OCFB) on Ganymede's surface. Additionally we provide coordinates of Juno's magnetic footprint, namely the surface locations that connect to Juno's trajectory through magnetic field lines. For the surface locations we use a western longitude planetographic coordinate system where 0° longitude is in direction of the y-axis and 90° in direction of the x-axis of the cartesian GPhiO system. The GPhiO system is defined by the primary direction z parallel to Jupiter’s rotation axis, the secondary direction y is pointing towards Jupiter barycenter and x completes the right-handed system approximately in direction of plasma flow. Duling2022_JunoGanymede_modeled_surface_OCFB.txt Columns: Longitude [°] Northern OCFB latitude [°] Southern OCFB latitude [°] Duling2022_JunoGanymede_modeled_magnetic_footprint.txt Columns: Spacecraft time [UTC] Magnetic footprint longitude [°] Magnetic footprint latitude [°] Length of field line between Juno and surface [radii] Length of field line between Juno and surface [km] r coordinate of Juno [radii] Latitude of Juno [°] Longitude of Juno [°] x of Juno in GPhiO [km] y of Juno in GPhiO [km] z of Juno in GPhiO [km] Duling2022_JunoGanymede_surface_map.png A plot that visualizes the data of this repository.

opencc-by-4.0Dec 2017View details →

ORCID data to accompany Study of ORCID Adoption Across Disciplines and Locations

Data gathered in January 2017 from the ORCID registry in support of Study of ORCID Adoption Across Disciplines and Locations. Study conducted as part of Horizon 2020 project THOR (http://project-thor.eu). ORCID uptake by discipline and region.xlsx : Master file of all processed metrics with breakdowns by discipline and region. (For description of selection of disciplinary taxonomy and processing steps, see associated paper.) All other .csv files : Underlying data for processed metrics. (For description of "full counts" and other factors of data gathering, see associated paper.)

opencc-by-4.0Jul 2023View details →

Joint Microseismic Event Detection and Location with a Detection Transformer

Synthetic passive seismic data and their corresponding labels used for training and testing the network in the paper "Joint Microseismic Event Detection and Location with a Detection Transformer".

opencc-by-4.0Jul 2024View details →

Data files: Electric vehicle charging dataset with 35,000 charging sessions from 12 residential locations in Norway

Please refer to the data article where the data is described (Data-in-brief, <a title="Persistent link using digital object identifier" href="https://doi.org/10.1016/j.dib.2024.110883" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.dib.2024.110883</a>). The data article refers to the paper "A method for generating complete EV charging datasets and analysis of residential charging behaviour in a large Norwegian case study". The Electric Vehicle (EV) charging dataset includes detailed information on plug-in times, plug-out times, and energy charged for over 35,000 residential charging sessions, covering 267 user IDs across 12 locations within a mature EV market in Norway. Utilising methodologies outlined in the paper, realistic predictions have been integrated into the datasets, encompassing EV battery capacities, charging power, and plug-in State-of-Charge (SoC) for each EV-user and charging session. In addition, hourly data is provided, such as energy charged and connected energy capacity for each charging session. The comprehensive dataset provides the basis for assessing current and future EV charging behaviour, analysing and modelling EV charging loads and energy flexibility, and studying the integration of EVs into power grids.

opencc-by-4.0Jul 2021View details →

High-precision Aftershock Locations and Fault Planes of the 2016-2017 Central Italy Sequence

The earthquake catalog includes high-precision hypocenter relocations for 390,334 earthquakes recorded during the 2016-2017 Amatrice (Central Italy)  earthquake sequence. The relative locations were computed by double-difference inversion of a  combination of INGV phase picks and cross-correlation differential  times measured from correlated seismograms with correlation coefficients > 0.7. Planes of normal faults (idx=1-5) are derived from PCA analysis of 2 months of aftershock  locations in the CAT4 catalog following large events. Surfaces of detachment faults (idx=7-10) are derived from mapping out the location of correlated earthquakes.  Citation: Waldhauser, F., Michele, M., Chiaraluce, L., Di Stefano, R., & Schaff, D. P. (2021). Fault planes, fault zone structure and detachment fragmentation resolved with highprecision aftershock locations of the 2016-2017 central Italy sequence. Geophysical Research Letters, 48, e2021GL092918. https://doi.org/10.1029/2021GL092918

opencc-by-4.0Jul 2021View details →

Predicted locations and nitrate pollution of groundwater discharge from D3pl karst aquifer in Latvia

Description A georeferenced raster data layer [5_predicted_D3pl_GW_discharge_zone.tif] showing predicted likelihood that groundwater polluted with nitrate (NO3-) is discharging as springs or diffuse seepage from the Upper Devonian Pļaviņas (D3pl) dolomite karst aquifer in Latvia is presented. The cell value indicates the likelihood (0 – low, 1 - high) that groundwater with nitrate contamination is discharging from the D3pl aquifer at this location. Value of 0 means that no groundwater is discharging there. The BalticTM 93 (EPSG:25884) references system is used. The rationale and methodology for elaborating the map of groundwater discharge as springs or diffuse seepage from the D3pl dolomite karst aquifer is described in the main article (Kalvāns et al. under review). In short, a 3D regional geological model (Popovs et al. 2015), land surface elevation model and bedrock surface elevation model (Popovs et al. under review) were combined to identify locations where aquitard at the base of D3pl aquifer is outcropping at bedrock surface and in the nearby depressions (in a distance up to 0.25 km) the land surface was below the surface of this aquitard. The likely contamination with NO3- was estimated from proportion of arable land (European Environment Agency 2018) within 4.75 km window. It is assumed that the NO3- contamination in the D3pl karst aquifer is likely only close to its distribution margins, where groundwater table is deeper than the top of the aquifer. This work was supported by the EU Interreg Est–Lat program project GroundEco No. Est-Lat62, and base funding grant from the Latvian Ministry of Education and Science to the University of Latvia, No. ZD2016/AZ03. References European Environment Agency (2018) Corine Land Cover 2018. https://land.copernicus.eu/pan-european/corine-land-cover/clc2018?tab=download (CLC). Accessed 1 Jun 2020 Popovs K, Kalvāns A, Jemeljanova M, et al (under review) Bedrock surface topography map of Latvia. J Maps Popovs K, Saks T, Jātnieks J (2015) A comprehensive approach to the 3D geological modelling of sedimentary basins: example of Latvia, the central part of the Baltic Basin. Est J Earth Sci 64:173–188. https://doi.org/10.3176/earth.2015.25

opencc-by-4.0Feb 2020View details →

Instances for the pickup and delivery problem with alternative locations

570 Instances for the pickup and delivery problem with alternative locations in a .txt file format. 1 Complementary material providing computational results of those instances as a .pdf file format.

opencc-by-4.0Jan 2022View details →

Empirical laws of plasmapause and plasmasphere outer edge location from the Van Allen Probes

This webpage provides access to empirical laws of the plasmapause position and the dense outer edge of the plasasphere position (i.e. location of the 100 #/cc electron density) established from spacecraft charging of the Van Allen Probes (RBSP), using data from Probe B from 26 September 2012 to 16 July 2019. These empirical laws are published of the following article: Ripoll, J.-F., Thaller, S. A., Hartley, D. P., Cunningham, G. S., Pierrard, V., Kurth, W. S., et al. (2022). Statistics and empirical models of the plasmasphere boundaries from the Van Allen Probes for radiation belt physics. Geophysical Research Letters, 49, e2022GL101402. https://doi.org/10.1029/2022GL101402. Please refer to the article and this link if you make any use of the data. We first deliver 3 files which contain the plasmapause position versus a given geomagnetic index, either Kp, AE, or Dst. These data files are MLT-averaged. The filename is Lpp_v_XX_stats_1.txt with XX the index name.   We then deliver 3 files which contains the plasmapause position versus a geomagnetic starred index (i.e. a max taken during the last 24 hours for Kp and AE and a min for Dst), either Kp*, AE*, or Dst* for 4 MLT sectors written successively in each file and then for all sectors averaged together. These data files are MLT-dependent for the 4 first blocks and then MLT-averaged in the fifth block. The filename is Lpp_v_XX_star_MLT_stats_2-1.txt with XX the starred index name.  The MLT range is given in the last two columns. When the plasmapause location is undetermined (i.e. Lpp = 0 or no value), there is no MLT, so that in the file we just have the total number of points (all real) and not the three values of total, number of real, number of Nans. Similarly, we deliver 3 files which contains the plasmapause position versus a geomagnetic non starred index, either Kp, AE, or Dst for 4 MLT sectors written successively in each file. Filenames have the form "Lpp_v_XX_MLT_stats_1.txt" with XX the name of the index. Figures associated to this data were not given in the article and have been added here with a filename of the form Lpp_by_mlt_XX.pdf with XX the name of the index. Finally, the zip file "RBSP-A Figures and Laws" contains Figures (same format as each figure of Figure 4 in the article) and empirical laws (same format as above) for RBSP-A data (10/2012-04/2016). Being more limited in time, we rather recommend to use RBSP B data. They are provided to confirm both RBSP A and B data agree when statistics are converged.

opencc-by-4.0Jun 2023View details →

Test experiments with distributed acoustic sensing and hydrophone arrays for locating underwater sounds.

Whales and dolphins rely on sound for navigation and communication, making them an intriguing subject for studying language evolution. Traditional hydrophone arrays have been used to record their acoustic behavior, but optical fibers have emerged as a promising alternative. This study explores the use of distributed acoustic sensing (DAS), a technique that detects local stress in optical fibers, for underwater sound recording. An experiment was conducted in Lake Zurich, where a fiber-optic cable and a self-made hydrophone array were deployed. A test signal was broadcasted at various locations, and the resulting data was synchronized and consolidated into files. Analysis revealed distinct frequency responses in the DAS channels and provided insights into sound propagation in the lake. Challenges related to cable sensitivity, sample rate, and broadcast fidelity were identified. This dataset serves as a valuable resource for advancing acoustic sensing techniques in underwater environments, especially for studying marine mammal vocal behavior.

openCC (other)Jan 2022View details →

Palmyra Atoll soil and/or wood density sampling locations used in the carbon storage analysis

This dataset provided soil and/or wood density sampling locations and values from Palmyra Atoll (2016 and 2019). Soil samples were extracted to measure organic carbon content associated with different vegetation communities in Palmyra. Wood samples were collected to measure basic wood density values for dominant woody vegetation types found in Palmyra to calculate aboveground carbon values.

openCC0Mar 2024View details →

GOES-R Land Surface Products at AmeriFlux and NEON Eddy Covariance Tower Locations

The terrestrial carbon cycle varies dynamically over short periods that can be difficult to observe. Geostationary (“weather”) satellites like the Geostationary Operational Environmental Satellite - R Series (GOES-R) deliver near-hemispheric imagery at a ten-minute cadence, and its Advanced Baseline Imager (ABI) measures visible and near-infrared spectral bands that can be used to estimate land surface properties and carbon dioxide flux. GOES-R data are designed for real-time dissemination and are difficult to link with eddy covariance time series of land-atmosphere carbon dioxide exchange. We compiled three-year time series of GOES-R land surface attributes including visible and near-infrared reflectances, land surface temperature, and downwelling shortwave radiation (DSR) at 318 ABI fixed grid pixels containing eddy covariance towers for years 2020-2022. We demonstrate how to best combine satellite and in-situ datasets, and show how ABI attributes useful for carbon cycle science vary across space and time. By connecting observation networks that infer rapid changes to the carbon cycle, we can gain a richer understanding of the processes that control it.

Weather station data acquired across multiple locations in the Teakettle Experimental Forest, California, 2011-2017

These weather station records were collected as part of a larger study relating microclimates to tree seedling survival in southern California mountains. These weather station records are for studies at the Teakettle Experimental Forest (Lat 36.967, Long -119.017, elevation 2000-2800 m, www.fs.fed.us/psw/ef/teakettle/). Weather stations were located at six sites across the Teakettle Experimental Forest landscape. Sites were selected to sample topographic variation in surface and air temperatures within a narrow range of elevations on northeast to southwest-facing slopes, ridges, and valleys. Three full weather stations (north slope, south slope, and valley floor) monitored precipitation, wind, insolation, temperature, relative humidity, and soil moisture. Data were recorded on a 10-minute interval using HOBO (Onset, www.onsetcomp.com) devices.

Near-surface, soil, and air temperature data acquired across multiple locations in the foothills of the Tehachapi mountains at Tejon Ranch, California, 2011-2017

These temperature records were collected as part of a larger study relating microclimates to tree seedling survival in southern California mountains. These temperature records are for studies in the foothills of the Tehachapi mountains at Tejon Ranch (Lat 34.983, Long -118.716, elevation 750-930 m, www.tejonranch.com). Temperature sensors were located at 23 sites across the Tehachapi foothills. Sites were selected to sample topographic variation in surface and air temperatures within a narrow range of elevations on northeast to southwest-facing slopes, ridges and valleys. To characterize surface temperature variation within a site, 21 sensors were arranged in an identical pattern around and in six, 5x5 m experimental gardens. An additional 18 sensors were placed along three transects over the landscape running N-S. They were placed strategically to sample topographic inflection points (hill tops and valley bottoms) as well as north and south facing slopes. Temperatures were recorded on a 10 or 20-minute interval, depending on the sensor. using HOBO (Onset, www.onsetcomp.com) devices.

Weather station data acquired across multiple locations in the foothills of the Tehachapi mountains at Tejon Ranch, California, 2011-2017

These weather station records were collected as part of a larger study relating microclimates to tree seedling survival in southern California mountains. These weather station records are for studies in the foothills of the Tehachapi mountains at Tejon Ranch (Lat 34.983, Long -118.716, elevation 750-930 m, www.tejonranch.com). Weather stations were located at six sites across the Tehachapi foothills. Sites were selected to sample topographic variation in surface and air temperatures within a narrow range of elevations on northeast to southwest-facing slopes, ridges, and valleys. Three full weather stations (north slope, south slope, and valley floor) monitored precipitation, wind, insolation, temperature, relative humidity, and soil moisture. Three micro stations (west slope, east slope, and ridge) measured soil moisture at -20 cm. Data was recorded on a 10-minute interval using HOBO (Onset, www.onsetcomp.com) devices.

Near-surface, soil, and air temperature data acquired across multiple locations in the Tehachapi mountains at Tejon Ranch, California, 2011-2017

These temperature records were collected as part of a larger study relating microclimates to tree seedling survival in southern California mountains. These temperature records are for studies in the Tehachapi mountains at Tejon Ranch (Lat 34.967, Long -118.583, elevation 1600-1700 m, www.tejonranch.com). Temperature sensors were located at 23 sites across the Tehachapi foothills. Sites were selected to sample topographic variation in surface and air temperatures within a narrow range of elevations on northeast to southwest-facing slopes, ridges and valleys. To characterize surface temperature variation within a site, 21 sensors were arranged in an identical pattern around and in six, 5x5 m experimental gardens. An additional 18 sensors were placed along three transects over the landscape running N-S. They were placed strategically to sample topographic inflection points (hill tops and valley bottoms) as well as north and south facing slopes. Temperatures were recorded on a 10 or 20-minute interval, depending on the sensor. using HOBO (Onset, www.onsetcomp.com) devices.

Weather station data acquired across multiple locations in the Tehachapi mountains at Tejon Ranch, California, 2011-2017

These weather station records were collected as part of a larger study relating microclimates to tree seedling survival in southern California mountains. These weather station records are for studies the Tehachapi mountains at Tejon Ranch (Lat 34.967, Long -118.583, elevation 1600-1700m, www.tejonranch.com). Weather stations were located at six sites across the Tehachapi foothills. Sites were selected to sample topographic variation in surface and air temperatures within a narrow range of elevations on northeast to southwest-facing slopes, ridges, and valleys. Three full weather stations (north slope, south slope, and valley floor) monitored precipitation, wind, insolation, temperature, relative humidity, and soil moisture. Three micro stations (west slope, east slope, and ridge) measured soil moisture at -20 cm. Data was recorded on a 10-minute interval using HOBO (Onset, www.onsetcomp.com) devices.