Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
124
datasets available to search
ShareScore release 0.7.1
Dataset results
124 results for “distributed sampling”
Text-fig. 3. Borehole section in the Blansko Graben with lithology, distribution of palynomorphs, macroflora and macrofauna (modified after Čech, unpublished report). 1 – Spesovicornea pacltovae, 2 – Platanus sp., 3 – Myrtophyllum angustum (VEL.) KNOBOCH, 4 – Gleichenia sp.), 5 – percentage of land-derived palynomorphs, 6 – percentages of marine palynomorphs, 7 – glauconite, 8 – pyrite nodules, 9 – macrofauna, 10 – productive palynological samples, 11 – carbonized roots, 12 – conglomerate, 13 – sandstone, 14 – claystone, 15 – coal, 16 – granite and granodiorite of the Brno pluton. in Spesovicornea Pacltovae Gen. Nov. Et Sp. Nov., A New Elateroid Sporomorph From The Bohemian Cenomanian (Czech Republic)
Text-fig. 3. Borehole section in the Blansko Graben with lithology, distribution of palynomorphs, macroflora and macrofauna (modified after Čech, unpublished report). 1 – Spesovicornea pacltovae, 2 – Platanus sp., 3 – Myrtophyllum angustum (VEL.) KNOBOCH, 4 – Gleichenia sp.), 5 – percentage of land-derived palynomorphs, 6 – percentages of marine palynomorphs, 7 – glauconite, 8 – pyrite nodules, 9 – macrofauna, 10 – productive palynological samples, 11 – carbonized roots, 12 – conglomerate, 13 – sandstone, 14 – claystone, 15 – coal, 16 – granite and granodiorite of the Brno pluton.
Fig. 2 in Updating the distributions of four Uruguayan hylids (Anura: Hylidae): recent expansions or lack of sampling effort?
Fig. 2. Occurrence of Dendropsophus minutus (n = 15), D. nanus (n = 15), Lysapsus limellum (n = 6), and Scinax nasicus (n = 21) in different types of environments. Crops include rainfed crops, rice, sugar cane, and Eucalyptus and/or Pinus afforestations; Natural includes the grasslands, wetlands, and native forests with low anthropic influence (i.e., extensive livestock farming); and Urban refers to urban and peri-urban areas, routes, or industrial plants.
Fig. 1 in Updating the distributions of four Uruguayan hylids (Anura: Hylidae): recent expansions or lack of sampling effort?
Fig. 1. Distribution of Dendropsophus minutus, D. nanus, Lysapsus limellum, and Scinax nasicus in Uruguay. Shaded areas correspond to estimated distributions according to Carreira and Maneyro (2019, yellow), and the closest national protected areas (green). Black dots indicate previous literature records from Gudynas and Rudolf (1983), Langone and Basso (1987), Olmos et al. (1997), Kolenc et al. (2003), Núñez et al. (2004), and Prigioni et al. (2011). New records in the present study are indicated in red. Department names are indicated as follows: AR, Departamento de Artigas; SA, Departamento de Salto; PA, Departamento de Paysandú; RN, Departamento de Río Negro; CL, Departamento de Cerro Largo; and TT, Departamento de Treinta y Tres.
Рис. 1. Карта-схема заповеΑника «КомсомоΛьский». Точками обозначены места отбора проб Fig. 1. Map of the Komsomolsky Nature Reserve. Dots indicate sampling locations in Zoobenthos of the Komsomolsky Nature Reserve watercourses: Quantitative distribution
Рис. 1. Карта-схема заповеΑника «КомсомоΛьский». Точками обозначены места отбора проб Fig. 1. Map of the Komsomolsky Nature Reserve. Dots indicate sampling locations
Figure 4 in A new method for analyzing microplastic particle size distribution in marine environmental samples
Figure 4. Circularity-versus-Feret's diameter plots of the MP samples collected at four stations in Sevastopol bay (the Black Sea) in 2019. Dot numbers do not correspond to the MPs abundance in the water. Dashed line represents the upper border of fibers.
Figure 5 in A new method for analyzing microplastic particle size distribution in marine environmental samples
Figure 5. Distribution of MPs along Sevastopol bay (the Black Sea) in terms of average particle shape descriptors (left plots), overall abundance and weight of MP fragments, and percentage of fibers among them (right plots).
Figure 3 in A new method for analyzing microplastic particle size distribution in marine environmental samples
Figure 3. Distribution of the four types of MP particles (red – rounded, violet – irregular, blue – elongated, and green – fibers) in a Circularity-versus-Feret's diameter plot (scatter). Dashed line represents the upper border of fibers.
Figure 2. A in A new method for analyzing microplastic particle size distribution in marine environmental samples
Figure 2. A: Microplastic samples dried on the 'storage' filters (100-µm nylon mesh). B: Pure microplastics under an inverted microscope. C-D: Micrograph of a sample in Bogorov's camera and its b/w image processed in an image editor. E: High-contrast scan image of a microplastic sample.
Figure 6 in A new method for analyzing microplastic particle size distribution in marine environmental samples
Figure 6.Weight of a MP sample (M) as a function of the total silhouette area (S) of the MP particles.
FIGURE 2 Different habitat types that were sampled during the 2018 in Taxonomy, ecology and distribution of the mosquitoes (Diptera: Culicidae) of the Dutch Leeward Islands, with a key to the adults and fourth instar larvae
FIGURE 2 Different habitat types that were sampled during the 2018 survey. Natural habitats: a) Bromelias, b) inflorescences of Heliconia sp. c) rock pool/beach pool, d) crab hole; Semi-natural habitats: e) temporary/permanent pond, Artificial habitats: f) bucket, g) well, h) car tire, i) abandoned swimming pool, j) cistern. Photos courtesy of K.-D.B. Dijkstra, J.G. van der Beek and K. Hulshof.
Data from: Integrated species distribution models to account for sampling biases and improve range wide occurrence predictions
Open the record for dataset details and reuse information.
Data for: The meta-analysis of the effects of spatial sampling bias correction on presence only species distribution models
<p>This dataset contains information extracted from 70 studies identified through a systematic review of the peer-reviewed literature (Web of Science and SCOPUS databases both searched on the 13/02/2023) to evaluate the effect of spatial sampling bias correction methods in presence-only species distribution models.</p>
Evaluation data for: Adaptive sampling by citizen scientists improves species distribution model performance: a simulation study
<p>All of the evaluation data for the simulations in the paper: Adaptive sampling by citizen scientists improves species distribution model performance: a simulation study. We considered the impact of five adaptive sampling methods on the performance of species distribution models (SDMs), please see the paper for more information. Contained in this repository are the evaluation metrics (AUC, mean square error (MSE) and correlation) for SDMs before and after adaptive sampling has taken place. The MSE and correlation evaluation metrics were calculated against the true distributions of the species. These files are those with "combined_outputs" in the titles. The repository also contains the observations of all the species in the simulations both before and after adaptive sampling (the files with "all_observations" in the title.</p> <p>These datasets are to be used with the plotting and evaluation scripts in the GitHub repository associated with the paper.</p>
Data from: Disequilibrium oxygen isotope distribution among aqueously altered minerals in Ryugu asteroid returned samples
<p>Oxygen 3-isotope ratios of magnetite and carbonates in aqueously altered carbonaceous chondrites provide important clues to understanding the evolution of the fluid in the asteroidal parent bodies. We conducted oxygen 3-isotope analyses of magnetite, dolomite, and breunnerite in two sections of asteroid Ryugu returned samples, A0058 and C0002, using a secondary ion mass spectrometer (SIMS). Magnetite was analyzed by using a lower primary ion energy that reduced instrumental biases due to the crystal orientation effect. We found two groups of magnetite data identified from the SIMS pit morphologies: (1) higher δ<sup>18</sup>O (from 3‰ to 7‰) and ∆<sup>17</sup>O (~2‰) with porous SIMS pits mostly from spherulitic magnetite, and (2) lower δ<sup>18</sup>O (~ –3‰) and variable ∆<sup>17</sup>O (0-2‰) mostly from euhedral magnetite. Dolomite and breunnerite analyses were conducted using multi-collection Faraday cup detectors with precisions ≤0.3‰. The dependence of instrumental biases on carbonate compositions was corrected using two methods, using Fe and (Fe+Mn) contents, because Ryugu dolomite contains higher amounts of Mn than the terrestrial standard. Results of dolomite and breunnerite analyses show a narrow range of ∆<sup>17</sup>O; 0.0–0.3‰ for dolomite in A0058 and 0.2–0.8‰ for dolomite and breunnerite in C0002. The majority of breunnerite, including large ≥100 µm grains, show systematically lower δ<sup>18</sup>O (~21‰) than dolomite (25–30‰ and 23–27‰ depending on the instrumental bias corrections). The equilibrium temperatures between magnetite and dolomite from the coarse-grained lithology in A0058 are calculated to be 51±11˚C and 78±14˚C, depending on the instrumental bias correction scheme for dolomite; a reliable temperature estimate would require a Mn-bearing dolomite standard to evaluate the instrumental bias corrections, which is not currently available. These results indicate that oxygen isotope ratios of aqueous fluids in the Ryugu parent asteroid were isotopically heterogeneous, either spatially or temporally. Initial water ice accreted to the Ryugu parent body might have ∆<sup>17</sup>O >2‰ that was melted and interacted with anhydrous solids with the initial ∆<sup>17</sup>O <0‰. In the early stage of aqueous alteration, spherulitic magnetite and calcite formed from aqueous fluid with ∆<sup>17</sup>O ~2‰ that was produced by isotope exchange between water (∆<sup>17</sup>O >2‰) and anhydrous solids (∆<sup>17</sup>O <0‰). Dolomite and breunnerite along with some magnetite formed at a later stage of aqueous alteration under higher water-to-rock ratios and the oxygen isotope ratios were nearly at equilibrium between fluid and solid phases. Including literature data, δ<sup>18</sup>O of carbonates decreases in the order of calcite, dolomite, and breunnerite, suggesting that the temperature of alteration might have increased with the degree of aqueous alteration.</p>
Grain size distribution of Amazon river sediment samples collected over the period 2005-2008; and ADCP water velocity profiles collected on the major tributaries of the Amazon in Bolivia and Peru, 2007-2008
<p>This dataset contains two items:</p> <p>- The grain size distribution of river sediment samples collected along the Amazon River and its tributaries during four sampling campaigns performed in June 2005 (lower Amazon, Brazil), March 2006 (lower Amazon, Brazil), May 2007 (Upper Madeira, Bolivia), and April 2008 (Upper Solimões-Amazonas, Peru). [spreadsheet "Grain_size_distribution_dataset_Amazon_2005-2008_Bouchez_data.xlsx"].</p> <p>- River water velocity profiles derived from Acoustic Doppler Current Profiler (ADCP) measurements performed on the major tributaries of the Amazon in May 2007 (Upper Madeira, Bolivia) and April 2008 (Upper Solimões-Amazonas, Peru) [folder "ADCP_dataset_Amazon_2007-2008_Bouchez_data"].</p> <p>The dataset description and the relevant references are provided in the text files "Grain_size_distribution_dataset_Amazon_2005-2008_Bouchez_description.docx" and "ADCP_dataset_Amazon_2007-2008_Bouchez_description.docx" .</p> <p>These data were acquired thanks to the support of the French National Service for Observation "HYBAM" ("Hydrogeochemistry of the Amazon Basin"), part of the CNRS National Infrastructure "OZCAR" ("Critical Zone Observatories: Applications and Research").</p>
Data from: Demographic and ecogeographic factors limit wild grapevine spread at the southern edge of its distribution range - wild grapevine sampling locations, Maxent input files, morphological and microsatellite data
<p><span>This dataset contains raw data described in the paper: "Rahimi O., Ohana-Levi N., Brauner H., Inbar N., Hübner S. and Drori E. (2021) "Demographic and ecogeographic factors limit wild grapevine spread at the southern edge of its distribution range", accepted for publication in "Ecology and Evolution".</span></p> <p><span>The spatial distribution of plants is constrained by demographic and eco-geographic factors that determine the range and abundance of the species. In this study, we performed genetic and morphological analyzes based on SSR and OIV datasets. In addition, according to the spatial distribution model performed by Maxent software we found that distance to water sources, Normalized difference vegetation index, and precipitation are the main environmental factors constraining <i>V.v. sylvestris</i> distribution at its southern distribution range. All raw data used for this study can be found in this deposit which contains a table with grapevine locations, Maxent input files, morphological and microsatellite data. </span></p>
Figure 1 in A new method for analyzing microplastic particle size distribution in marine environmental samples
Figure 1. Sampling sites in Sevastopol Bay, the Black Sea.
PMF-LP: the first 10 m plastic-mulched farmland distribution map (2019-2021) in the Loess Plateau of China generated using training sample generation and classifier transfer method
<p>This dataset provides 10-m resolution plastic-mulched farmland distribution map in the Loess Plateau of China from 2019 to 2021</p> <p>*** The data file is in ".tif" format</p> <p>*** Temporal resolution: Annually</p> <p>*** Temporal coverage: 2019-2021</p> <p>*** Pixel size: 10 m</p> <p>*** Projection information: EPSG: 4326</p> <p>*** Values: 1 denotes plastic-mulched farmland (PMF) and 0 denotes non-plastic-mulched farmland (non-PMF)</p>
Distribution of vegetation sampling plots in four ecosystem types
<p>The table contains a number of bear cuscus presence points based on direct and indirect encounters (representative information from the local guide), as well as a number of plots constructed in each bear cuscus presence point in various ecosystem types in Bantimurung Bulusaraung National Park and Hasanuddin University Educational Forest, South Sulawesi.</p> <p>Three plots of 20 x 20 m were constructed in each bear cuscus presence point, with fifteen plots were established in each ecosystem type.</p>
Distribution of vegetation sampling plots in various ecosystem types
<p>The table contains no. of bear cuscus presence points based on direct and indirect encounters (representative information from the local guide), as well as no. of plots constructed in each bear cuscus presence point in various ecosystem types in Bantimurung Bulusaraung National Park and Hasanuddin University Educational Forest, South Sulawesi.</p> <p>Three plots of 20 x 20 m were constructed in each bear cuscus presence point, with fifteen plots were established in each ecosystem type.</p>
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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.