Find research datasets worth reusing

opencc-by-4.0Jul 2024View details →

High-Resolution Pan-European Forest Structure Maps: An Integration of Earth Observation and National Forest Inventory Data

We developed Pan-European maps of timber volume (V), above-ground biomass (AGB), and deciduous-coniferous proportion (DCP) with a pixel size of 10 x 10 m2 for the reference year 2020 using a combination of a Sentinel 2 mosaic, Copernicus layers, and National Forest Inventory (NFI) data. For mapping, we used the k-Nearest Neighbor (kNN, k=7) approach with a harmonized database of species-specific V and AGB from 14 NFIs across Europe. This database encompasses approximately 151,000 sample plots, which were intersected with the above-mentioned Earth observation data. The maps cover 40<a> European countries, </a>forming a continuous coverage of the western part of the European continent. A sample of 1/3 of NFI plots was left out for validation, whereas 2/3 of the plots were used for mapping. Maps were created independently for 13 multi-country processing areas. Root-mean-squared-errors (RMSEs) for AGB ranged from 53 % in the Nordic processing area to <a>73 % </a>the South-Eastern area. The created maps are the first of their kind as they are utilizing a huge amount of harmonized NFI observations and consistent remote sensing data for high-resolution forest attribute mapping. While the published maps can be useful for visualization and other purposes, they are primarily meant as auxiliary information in model-assisted estimation where model-related biases can be mitigated, and field-based estimates improved. Therefore, additional calibration procedures were not applied, and especially high V and AGB values tend to be underestimated. Summarizing map values (pixel counting) over large regions such as countries or whole Europe will consequently result in biased estimates that need to be interpreted with care. The author list is sorted by last name except for the first and last authors who also serve as corresponding authors. Corresponding authors: <a href="mailto:Jukka.Miettinen@vtt.fi">Jukka.Miettinen@vtt.fi</a>, <a href="mailto:Johannes.Breidenbach@nibio.no">Johannes.Breidenbach@nibio.no</a>

opencc-by-nc-4.0Nov 2023View details →

D-PLACE dataset derived from 'Global Multi-resolution Terrain Elevation Data 2010'

Cite the source of the dataset as: <blockquote> Global Multi-resolution Terrain Elevation Data courtesy of the U.S. Geological Survey (Downloaded 14 Jul 2014) </blockquote>

opencc-by-4.0Jul 2024View details →

3D super-resolution datasets associated with the paper "Whole-cell multi-target single-molecule super-resolution imaging in 3D with microfluidics and a single-objective tilted light sheet"

3D single-molecule super-resolution datasets corresponding to reconstructions shown in Whole-cell multi-target single-molecule super-resolution imaging in 3D with microfluidics and a single-objective tilted light sheet by Saliba & Gagliano, Gustavsson et. al.

FIGURE 6 in DNA extracted from museum specimens of the 19 century provides a taxonomic resolution on the identity of the characid fish Psalidodon jequitinhonhae (Ostariophysi: Characiformes)

FIGURE 6 | Psalidodon jequitinhonhae. Two live specimens from Fanado River, tributary of Araçuaí River, Barragem das Almas, Minas Novas Municipality, Minas Gerais State, Brazil, Jequitinhonha River basin, 17°14'16.1"S 42°35'25.9"W. MZUEL 16425, not measured. Photo: José L. O. Birindelli.

FIGURE 5 in DNA extracted from museum specimens of the 19 century provides a taxonomic resolution on the identity of the characid fish Psalidodon jequitinhonhae (Ostariophysi: Characiformes)

FIGURE 5 | Psalidodon jequitinhonhae, LBP 8311, 55.9 mm SL. To the left: lateral view of maxillary, premaxillary and dentary teeth. To the right: medial view of premaxillary and dentary teeth.

FIGURE 4 in DNA extracted from museum specimens of the 19 century provides a taxonomic resolution on the identity of the characid fish Psalidodon jequitinhonhae (Ostariophysi: Characiformes)

FIGURE 4 | Psalidodon jequitinhonhae. Specimens from Jequitinhonha River, Itaobim Municipality, Minas Gerais State, Brazil, 16°30'36"S 41°20'02"W. LBP 8311, male, 57.7 mm SL, female, 57.4 mm SL.

FIGURE 1 in DNA extracted from museum specimens of the 19 century provides a taxonomic resolution on the identity of the characid fish Psalidodon jequitinhonhae (Ostariophysi: Characiformes)

FIGURE 1 | A. Tetragonopterus rutilus var. Jequitinhonhae [sic] as illustrated by Steindachner (1877: plate II, fig. 3). B. Astyanax fasciatus jequitinhonhae as illustrated by Eigenmann (1921: plate 50, fig. 3; MCZ 20901; 83 mm; Jequitinhonha Rive, Brazil.

FIGURE 3 in DNA extracted from museum specimens of the 19 century provides a taxonomic resolution on the identity of the characid fish Psalidodon jequitinhonhae (Ostariophysi: Characiformes)

FIGURE 3 | Neighbor-joining tree based on p-distance model generated with a sequence fragment of the gene COI with 197 base pairs. The tree includes the lectotype of Tetragonopterus rutilus jequitinhonhae (NWM 57760:2) (dark blue) and species of the stethaprionine genera Psalidodon, Astyanax, Andromakhe, and Deuterodon. Sequences obtained from modern specimens of P. jequitinhonhae in light blue. Rooted in Serrapinnus heterodon.

FIGURE 7 in DNA extracted from museum specimens of the 19 century provides a taxonomic resolution on the identity of the characid fish Psalidodon jequitinhonhae (Ostariophysi: Characiformes)

FIGURE 7 | Distribution map of Psalidodon jequitinhonhae, encompassing its occurrence in the Jequitinhonha and Pardo river basins, Minas Gerais and Bahia States, Brazil.

opencc-by-nc-nd-4.0Sep 2024View details →

High spatiotemporal resolution free surface detection using cost-effective video equipment and computer vision techniques in nearly stationary flow along a transparent wall in the laboratory

The identification of the air-water interface in free surface flows traditionally involves intrusive techniques or costly equipment. Non-intrusive alternatives, such as computer vision, are emerging as highly effective substitutes or supplements for more invasive techniques in laboratory measurements, thanks to their straightforward implementation and cost efficiency. This research specifically delves in the conjunction of various naive techniques, exploring their collective precision in detecting the air-water interface along transparent walls in laboratory. A detection technique based on the double gradient of the image is applied and thoroughly examined. The study progresses through multiple refinement stages, culminating in a method that is both cost effective and easy to implement. This methodology allows for large-scale, high resolution measurements (200 mm × 1800 frames per video at a 0.25 mm, 50 Hz resolution), offering both spatial and temporal measurements by adeptly detecting the free surface along transparent walls.

opencc-by-4.0Aug 2024View details →

T1234: A distortion-matched structural scan solution to misregistration of high resolution fMRI data, Part 1

Raw and processed MRI data of the study entiled: T1234-Part 1 Authors:  Chung (Kenny) Kan1, Rüdiger Stirnberg2, Marcela Montequin1, Omer Faruk Gulban3,4, A Tyler Morgan1, Peter Bandettini1, Laurentius (Renzo) Huber1 <ol> <li>NIMH, NIH, Bethesda, United States,</li> <li>German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany,</li> <li>CN, FPN, University of Maastricht, The Netherlands,</li> <li>Brain Innovation, Maastricht, The Netherlands</li> </ol> Purpose: High-resolution fMRI at 7T is limited by limited registration quality between functional data with structural scans. We aim to provide a fast acquisition method that provides distortion-matched, artifact mitigated structural reference data. Methods: We developed an efficient sequence approach with adjustable distortions, termed T1234: T1-weighted 2-inversion 3D-EPI with 4 directions for high-resolution fMRI. A forward Bloch model is implemented for T1 quantification and protocol optimization. 20 participants were scanned on 7T with structural and functional protocols to evaluate the utility of T1234. Results: We find that a fast protocol provides reliable data for whole-brain segmentations in EPI-space  in 3:00-3:40 min). It is robust across sessions, participants, and three 7T SIEMENS scanners. T1234 allows layer fMRI signal analysis with higher laminar precision. Conclusion: This structural mapping approach allows precise registration with fMRI data. T1234 is implemented, validated, and tested to serve users of our sequence (locally and >50 centers worldwide).

opencc-by-4.0May 2022View details →

The Longyearbyen all-sky camera full resolution image data (movie and four ASC data plots) used in the paper entitled "Auroral Morphological Changes to the Formation of Auroral Spiral during the Late Substorm Recovery Phase: Polar UVI and Ground All-Sky Camera Observations"

The uploaded movie is an animation of the Longyearbyen all-sky camera (ASC) full resolution image data from 20:00 UT to 22:00 UT, which is including all ASC snapshots used in Figure 2. This movie file is the same as Movie S1.  The uploaded four png files are the Longyearbyen all-sky camera (ASC) full resolution image snapshots, which were used in Figure S3. The numerical ASCII data to make the four ASC full resolution image snapshots are also uploaded; the count number of data detected by the ASC and associated latitude and longitude information in geographical coordinates of the ASC field of view.

opencc-by-4.0Aug 2024View details →

Impact of Grid Resolution on Wave-mean Flow Interactions with High Resolution Mars Global Climate Model Simulations

This dataset contains NetCDF files necessary to replicate results from the 2024 paper "Impact of Grid Resolution on Wave-mean Flow Interactions with High Resolution Mars Global Climate Model Simulations" The dataset contains NetCDF files with 1 year of zonally-averaged NASA Ames Mars Global Climate Model (MGCM) fields with 5-sol binning for each of the simulations presented in the paper:  <ul> <li>a "low-resolution" simulation with no parameterization for gravity waves</li> <li>a "high-resolution" simulation with no parameterization for gravity waves</li> <li>a "low-resolution" simulation with parameterizations for orographic and non-orographic gravity waves</li> </ul> Also included are: <ul> <li>a file describing the coordinates for the MGCM's vertical grids used in the study </li> <li> atmospheric fields not provided in the other NetCDF files and necessary to replicate figures 3 and supplemental figure FS2 from the paper.</li> <li>a README.txt detailing the content of each file in the dataset</li> </ul>

Dataset for the publication "Identification of plasticity-induced crack closure by using high-resolution digital image correlation"

This repository publishes the data generated in the article "Identification of plasticity-induced crack closure by using high-resolution digital image correlation" (see arxiv preprint <a href="https://arxiv.org/html/2409.02560v1">Plasticity-induced crack closure identification during fatigue crack growth in AA2024-T3 by using high-resolution digital image correlation (arxiv.org)</a>) This repository is structured with the following subfolders: <ul> <li>0_fe_data: contains the displacement field of the free surface of the 3D finite element model that were used to determine the crack opening curves and, in the following, the crack opening value Kop</li> <li>1_hrdic_data: contains the high-resolution DIC displacement field data at a crack length of 27.8 mm at different load levels, starting from minimum load 1.5 kN to maximum load 15 kN</li> </ul>

(Magnetic dataset) High-Resolution Magnetic Investigation of a Hydrothermal System in a Volcanic-Evaporitic Environment

This is the ground magnetic dataset collected in hydrothermal vent field sites (called Yellow Lake Fissure and the surrounding area near Dallol Dome) in the Danakil Depression, Ethiopia. The dataset consists of 12 profiles and 2 grided data. and useful geological locations. The dataset is in Excel spreadsheet format and consists of 15 sheets (12 profiles, 2 grid data and other useful points). The format of each profile and grid consists of 8 columns and is formatted as below Latitude(dd°mm.mmmm'), Longitude(ddd°mm.mmmm'), Altitude(meter), Date(yyyy-mm-dd), UTC_time(hhmmss), MagneticField(nT), MagneticAnomaly(nT), Signal_Quality

GlobalNO2_AIT: 0.1° Annual Resolution Global Ground-level NO2 Dataset

The GlobalNO2_AIT dataset provides a comprehensive annual resolution of ground-level nitrogen dioxide (NO2) concentrations at a spatial resolution of 0.1° across global land areas. This dataset is generated using advanced machine learning techniques, integrating various satellite and ground-based observations to enhance accuracy and coverage. It facilitates the study of air quality, atmospheric chemistry, and the impacts of NO2 on human health and the environment. The dataset is essential for researchers, policymakers, and environmental organizations aiming to analyze trends, evaluate pollution mitigation strategies, and model air quality impacts.

High-resolution DEMs and ortho images of Langtang village post-2015 Gorkha earthquake in Nepal

Datasets related to the article "Quality Assessment of Multiple UAV-SfM DEMs Derived for Impact Assessment of a Co-seismic Avalanche in the Himalayas." The data were collected around Langtang village, which was destroyed by snow and ice avalanches triggered by the 2015 Gorkha earthquake. The datasets include digital elevation models (DEMs) and orthoimages, gathered using three types of UAVs equipped with different cameras in October 2015. Description of files: -a7_DEM_50cm.tif: 0.5 m resolution DEM derived from a quadcopter UAV equipped with a Sony α7R (36.3-megapixel sensor). -a7_ortho_9cm.tif: 0.09 m resolution orthoimage derived from the same data as in a7_DEM_50cm.tif. -ebee_DEM_50cm.tif: 0.5 m resolution DEM derived from a fixed-wing UAV equipped with a Canon IXUS 125HS (16-megapixel sensor). -ebee_ortho_15cm.tif: 0.15 m resolution orthoimage derived from the same data as in ebee_DEM_50cm.tif. -gr_DEM_50cm.tif: 0.5 m resolution DEM derived from a fixed-wing UAV equipped with a Ricoh GR (14.2-megapixel sensor). -gr_ortho_12cm.tif: 0.12 m resolution orthoimage derived from the same data as in gr_DEM_50cm.tif. Please refer to the related journal article for more details on the datasets. Sunako S, Fujita K, Yamaguchi S, Inoue H, Immerzeel WW, Izumi T and Kayastha RB (2024) Quality Assessment of Multiple UAV-SfM DEMs Derived for Impact Assessment of a Co-Seismic Avalanche in the Himalayas. J. Disaster Res. 19(5), 865–873 (doi:10.20965/jdr.2024.p0865)

A combined NMR and Deep Neural Network approach for enhancing the spectral resolution of aromatic side chains in proteins

Nuclear magnetic resonance (NMR) spectroscopy has become an important technique in structural biology for characterising the structure, dynamics and interactions of macromolecules. While a plethora of NMR methods are now available to inform on backbone and methyl-bearing side-chains of proteins, a characterisation of aromatic side chains is more challenging and often requires specific labelling or 13C-detection. Here we present a deep neural network (DNN) named FID-Net-2, which transforms NMR spectra recorded on simple uniformly 13C labelled samples to yield high-quality 1H-13C correlation spectra of the aromatic side chains. Key to the success of the DNN is the design of a complementary set of NMR experiments that produce spectra with unique features to aid the DNN produce high-resolution aromatic 1H-13C correlation spectra with accurate intensities. The reconstructed spectra can be used for quantitative purposes as FID-Net-2 predicts uncertainties in the resulting spectra. We have validated the new methodology experimentally on protein samples ranging from 7 to 40 kDa in size. We demonstrate that the method can accurately reconstruct high resolution two-dimensional aromatic 1H-13C correlation maps, high resolution three-dimensional aromatic-methyl NOESY spectra to facilitate aromatic 1H-13C assignments, and that the intensities of peaks from the reconstructed aromatic 1H-13C correlation maps can be used to quantitatively characterise the kinetics of protein folding.  More generally, we believe that this strategy of devising new NMR experiments specifically for analysis using customised DNNs represents a substantial advance that will have a major impact on the study of molecules using NMR in the years to come.

opencc-zeroAug 2024View details →

Linked collectors and determiners for: Resolution of the Aleiodes seriatus (Herrich-Schäffer, 1838) - aggregate in the western Palaearctic (Hymenoptera, Braconidae, Rogadinae), with description of a new species.

Natural history specimen data linked to collectors and determiners held within, "Resolution of the Aleiodes seriatus (Herrich-Schäffer, 1838) - aggregate in the western Palaearctic (Hymenoptera, Braconidae, Rogadinae), with description of a new species". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/d747aacc-514b-42fa-b8ef-d6384ce082c5">https://bionomia.net/dataset/d747aacc-514b-42fa-b8ef-d6384ce082c5</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/d747aacc-514b-42fa-b8ef-d6384ce082c5">https://gbif.org/dataset/d747aacc-514b-42fa-b8ef-d6384ce082c5</a>. Formatted as a Frictionless Data package.