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.
277
datasets available to search
ShareScore release 0.9.0
Dataset results
277 results for “regional scale”
Figure 1 from: Mattsson BJ, Toth W, Penker M, Kieninger P, Vacik H (2020) Drivers and value tradeoffs of regional-scale adaptation in rural landscapes of central Europe. Research Ideas and Outcomes 6: e53608. https://doi.org/10.3897/rio.6.e53608
Figure 1 Candidate drivers of adaptation by a program working at a regional scale, partially adapted from Figures 1.1 and 3.1 in Swart et al. (2009). This conceptual framework provides a basis for constructing hypotheses in this project. Each dashed border encapsulates a category of putative drivers. Neither relationships among individual drivers nor feedbacks between categories of drivers and adaptation actions are shown. Bolded boxes represent drivers that will be examined in this study. Underlined drivers can be at least partly informed from literature sources, whereas the remainder will be based solely on surveys and interviews with regional program administrators. (*Communication can also include coordination of adaptation planning/implementation in other regions).
Figure 5 from: Mattsson BJ, Toth W, Penker M, Kieninger P, Vacik H (2020) Drivers and value tradeoffs of regional-scale adaptation in rural landscapes of central Europe. Research Ideas and Outcomes 6: e53608. https://doi.org/10.3897/rio.6.e53608
Figure 5 Hypothetical result of an emphasis on regulating and cultural services consistent with the diverse value tradeoffs hypothesis. General classes of value tradeoffs distinguished by shapes: distributed (u), dominant (●) and double emphasis (■).Whiskers represent 95% Bayesian credibility intervals; open symbol illustrates a significant difference.
FIGURE 5 in A new genus and four new species of the scale insect family Eriococcidae (Hemiptera: Coccoidea) from the Austro-Oriental Region.
FIGURE 5. Sangicoccus truncatispinus (Reyne). Adult female.
FIGURE 4 in A new genus and four new species of the scale insect family Eriococcidae (Hemiptera: Coccoidea) from the Austro-Oriental Region.
FIGURE 4. Sangicoccus reynei Kozár & Konczné Benedicty sp. n. Adult female.
FIGURE 3 in A new genus and four new species of the scale insect family Eriococcidae (Hemiptera: Coccoidea) from the Austro-Oriental Region.
FIGURE 3. Sangicoccus morrisoni Kozár & Konczné Benedicty. Adult female.
FIGURE 2 in A new genus and four new species of the scale insect family Eriococcidae (Hemiptera: Coccoidea) from the Austro-Oriental Region.
FIGURE 2. Eriococcus szentivanyi Kozár & Williams. Adult female.
FIGURE 1 in A new genus and four new species of the scale insect family Eriococcidae (Hemiptera: Coccoidea) from the Austro-Oriental Region.
FIGURE 1. Hoyicoccus hendersonae Kozár & Williams sp. n. Adult female.
Supplementary material 1 from: Dehnen-Schmutz K, Pescott OL, Booy O, Walker KJ (2022) Integrating expert knowledge at regional and national scales improves impact assessments of non-native species. NeoBiota 77: 79-100. https://doi.org/10.3897/neobiota.77.89448
Survey and Tables S1–S3
Supplementary material 3 from: Dehnen-Schmutz K, Pescott OL, Booy O, Walker KJ (2022) Integrating expert knowledge at regional and national scales improves impact assessments of non-native species. NeoBiota 77: 79-100. https://doi.org/10.3897/neobiota.77.89448
Figure S1
Supplementary material 2 from: Dehnen-Schmutz K, Pescott OL, Booy O, Walker KJ (2022) Integrating expert knowledge at regional and national scales improves impact assessments of non-native species. NeoBiota 77: 79-100. https://doi.org/10.3897/neobiota.77.89448
Table S2
Figure 4 from: Kissling WD, Seijmonsbergen AC, Foppen RPB, Bouten W (2017) eEcoLiDAR, eScience infrastructure for ecological applications of LiDAR point clouds: reconstructing the 3D ecosystem structure for animals at regional to continental scales. Research Ideas and Outcomes 3: e14939. https://doi.org/10.3897/rio.3.e14939
Figure 4 - Time table for the eEcoLiDAR project (assuming a start in March 2017). The work plan covers tasks for the NLeSC engineers, the proposed PhD student, and two associated Postdoc projects.
Figure 3 from: Kissling WD, Seijmonsbergen AC, Foppen RPB, Bouten W (2017) eEcoLiDAR, eScience infrastructure for ecological applications of LiDAR point clouds: reconstructing the 3D ecosystem structure for animals at regional to continental scales. Research Ideas and Outcomes 3: e14939. https://doi.org/10.3897/rio.3.e14939
Figure 3 - Example of identifying trees in a forest from LiDAR data. Illustrated is a small plot of poplar trees in Flevoland, The Netherlands, for which tree crowns and tree tops have been calculated.
Figure 2 from: Kissling WD, Seijmonsbergen AC, Foppen RPB, Bouten W (2017) eEcoLiDAR, eScience infrastructure for ecological applications of LiDAR point clouds: reconstructing the 3D ecosystem structure for animals at regional to continental scales. Research Ideas and Outcomes 3: e14939. https://doi.org/10.3897/rio.3.e14939
Figure 2 - Generic workflow for object-based image analysis (OBIA) of LiDAR point clouds and proposed ecological applications. A workbench (blue) will be developed to handle the data storage, data exploration, and interactive OBIA of the massive LiDAR point clouds. Combined with datasets of bird distributions, climate, and other remote sensing layers (orange), the LiDAR data will be applied to several ecological case studies, e.g. by using species distribution modelling of birds and insect pollinators (green).
Figure 1 from: Kissling WD, Seijmonsbergen AC, Foppen RPB, Bouten W (2017) eEcoLiDAR, eScience infrastructure for ecological applications of LiDAR point clouds: reconstructing the 3D ecosystem structure for animals at regional to continental scales. Research Ideas and Outcomes 3: e14939. https://doi.org/10.3897/rio.3.e14939
Figure 1 - The vertical and horizontal distribution of plants influences habitat structure and 3D characteristics of vegetation for animals. Illustrated are examples for (a) forests, (b) agricultural and open landscapes, and (c) reedbeds and marshlands. The height, openness and density of vegetation as well as specific habitat features (e.g. tree species, hedges etc.) are key aspects of animal habitat and space use.
Рис. 2. Фотографии Metadesmolaimus longicaudatus sp. nov., гоΛотип самца (a, c, d, g, h) и паратип самки (b, e, f, j). a, b — общий виΔ; c — переΔний конец теΛа; d, e — гоΛова; f — теΛо в обΛасти вуΛьвы; g — теΛо в обΛасти кΛоаки; h, j — заΔний конец теΛа. Масштаб: a, b — 100 мкм; c — 50 мкм; f, h, j — 20 мкм; d, e, g — 10 мкм Fig. 2. Light micrograph of Metadesmolaimus longicaudatus sp. nov., male holotype (a, c, d, g, h) and female paratype (b, e, f, j), a, b — general view; c — anterior body end; d, e — head; f — vulvar region; g — cloaca region; h, j — posterior body end;. Scale bars: a, b — 100 μm; c — 50 μm; h, j — 20 μm; d, e, g — 10 μm in Two New Species Of The Family Xyalidae Chitwood, 1951 (Nematoda, Monhysterida) From The Water Bodies Of Vietnam
Рис. 2. Фотографии Metadesmolaimus longicaudatus sp. nov., гоΛотип самца (a, c, d, g, h) и паратип самки (b, e, f, j). a, b — общий виΔ; c — переΔний конец теΛа; d, e — гоΛова; f — теΛо в обΛасти вуΛьвы; g — теΛо в обΛасти кΛоаки; h, j — заΔний конец теΛа. Масштаб: a, b — 100 мкм; c — 50 мкм; f, h, j — 20 мкм; d, e, g — 10 мкм Fig. 2. Light micrograph of Metadesmolaimus longicaudatus sp. nov., male holotype (a, c, d, g, h) and female paratype (b, e, f, j), a, b — general view; c — anterior body end; d, e — head; f — vulvar region; g — cloaca region; h, j — posterior body end;. Scale bars: a, b — 100 μm; c — 50 μm; h, j — 20 μm; d, e, g — 10 μm
Рис. 3–6. Coelorinchus idiolepis sp. nov., гоΛотип, ΔетаΛи строения: 3 — гоΛова, виΔ сверху; 4 — ditto, виΔ снизу; 5 — чешуйный покров верха гоΛовы; 6 — абΔоминаΛьная обΛасть. Обозначения: А — гоΛый участок верхней поверхности рыΛа; B — меΔиаΛьный назаΛьный гребень; C — затыΛочный гребень; D — перипрокт и анус. Масштаб: 3, 4 — 30 мм (Λинейка общая); 5 — 15 мм; 6 — 25 мм Figs. 3–6. Coelorinchus idiolepis sp. nov., holotype, structural details: 3 — head, dorsal view; 4 — ditto, ventral view; 5 — squamation of snout and top of head; 6 — abdominal region. Symbols: А — scaleless area on snout; B — medial nasal ridge; C — occipital ridge; D — periproct and anus. Scale bars: 3, 4 — 30 mm (common bar); 5 — 15 mm; 6 — 25 mm in Coelorinchus From The Hawaiian-Emperor Seamount Chain (The Pacific Ocean) (Teleostei, Gadiformes, Macrouridae)
Рис. 3–6. Coelorinchus idiolepis sp. nov., гоΛотип, ΔетаΛи строения: 3 — гоΛова, виΔ сверху; 4 — ditto, виΔ снизу; 5 — чешуйный покров верха гоΛовы; 6 — абΔоминаΛьная обΛасть. Обозначения: А — гоΛый участок верхней поверхности рыΛа; B — меΔиаΛьный назаΛьный гребень; C — затыΛочный гребень; D — перипрокт и анус. Масштаб: 3, 4 — 30 мм (Λинейка общая); 5 — 15 мм; 6 — 25 мм Figs. 3–6. Coelorinchus idiolepis sp. nov., holotype, structural details: 3 — head, dorsal view; 4 — ditto, ventral view; 5 — squamation of snout and top of head; 6 — abdominal region. Symbols: А — scaleless area on snout; B — medial nasal ridge; C — occipital ridge; D — periproct and anus. Scale bars: 3, 4 — 30 mm (common bar); 5 — 15 mm; 6 — 25 mm
Fig. 5 in Influence of environmental factors and sessile biota on vagile epibionts: The case of amphipods in marinas across a regional scale Abstract
Fig. 5: RDA graphic showing the similarity between the amphipod community present in each marina and its relationship with the sessile community (CHI = Chipiona, AME = Puerto. América, BAR = Barbate, LIN= La Línea, FUE = Fuengirola, ALM = Almería; Green = Atlantic; Orange = Mediterranean).
Fig. 4 in Influence of environmental factors and sessile biota on vagile epibionts: The case of amphipods in marinas across a regional scale Abstract
Fig. 4: Composition (percentage of total volumen) of sessile species present in the pontoons of each marina (CHI = Chipiona, AME = Puerto. América, BAR = Barbate, LIN= La Línea, FUE = Fuengirola, ALM = Almería. Numbers represents the three pontoons). The group "Others" includes "Other ascidians" and "Filiform algae".
Fig. 3 in Influence of environmental factors and sessile biota on vagile epibionts: The case of amphipods in marinas across a regional scale Abstract
Fig. 3: Two dimensional MDS plot based on Bray–Curtis similarity matrix on the square root-transformed amphipod abundance data. Dashed lines indicate SIMPROF results (P<0.05).
Fig. 2 in Influence of environmental factors and sessile biota on vagile epibionts: The case of amphipods in marinas across a regional scale Abstract
Fig. 2: Number of species (S), abundance (N) and Shannon-Wiener diversity values (H') of the amphipod community (Mean ± standard error). *P <0.05; **P <0.01.
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.