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.
592
datasets available to search
ShareScore release 0.9.0
Dataset results
592 results for “forest distributions”
Figure 2 in Expansion of Lobate Lac Scale Distribution into Oahu Forest Systems
Figure 2. Location of sites for lobate lac scale survey on the island of Oahu. Red dots indicate trail/sites where the scale was not found. Blue dots indicate trail/sites where the scale was found.
Figure 1 in Expansion of Lobate Lac Scale Distribution into Oahu Forest Systems
Figure 1. High density of lobate lac scale infestation can lead to branch dieback on Dodonaea viscosa (left) and Ficus spp. (right).
Fig. 1 in Species composition and distribution of ground beetles (Coleoptera, Carabidae) in the forests of the Kamanos State Strict Reserve (Lithuania)
Fig. 1. Similarity (Ics) between the forest types of the Kamanos State Strict Reserve with respect to species composition of ground beetles according to quantitative data (species similarity) (1 - oxalidosum spruce stand, 2 - myrtillosum pine stand, 3 - myrtillo - oxalidosum spruce stand, 4 - oxalidosum broadleaved birch stand, 5 - calamagrostics birch stand, 6 - caricosum birch stand, 7 - caricoso - ledosum pine stand, 8 - sphagno - ledosum pine stand).
Figure. Distribution of Neomys teres and Neomys anomalus species in Turkey (square = Neomys anomalus, triangle = Neomys teres). 1: Ulubey (Ordu), 2: Meryemana (Trabzon), 3: Kutul (Artvin), 4: Yalnızçam (Kars), 5: Bendimahi Canyon (Muradiye, Van), 6: Seyfe (Amasya), 7: Safranbolu (Karabük), 8: Topçam (Ordu), 9: Tamdere (Giresun), 10: Çamlık (Rize), 11: Ovid Mountain (Rize), 12: Lake Abant (Bolu), 13: Kayseri, 14: Erzurum, 15: Samsun, 16: Belgrad Forest (İstanbul), 17: Lake Abant (Bolu), 18: İrve creek (İstanbul), 19: Erçek Mountain (Van), 20: Paşaalandere (Tekirdağ), 21: Lake Terkos (İstanbul), 22: Yeşiloba (Adana), 23: Yenice, Çayır (Zonguldak), 24: Abant (Bolu), 25: Hanyatak village (Sakarya), 26: Longoz forest, Dupnisa cave, Demirköy (Kırklareli), 27: Lake Eber (Afyon), 28: Çırpılar (Çanakkale), 29: Uludağ (Bursa), 30: Balkusan (Karaman). in Taxonomic status of Neomys species (Mammalia: Soricomorpha) and their distribution in Turkey
Figure. Distribution of Neomys teres and Neomys anomalus species in Turkey (square = Neomys anomalus, triangle = Neomys teres). 1: Ulubey (Ordu), 2: Meryemana (Trabzon), 3: Kutul (Artvin), 4: Yalnızçam (Kars), 5: Bendimahi Canyon (Muradiye, Van), 6: Seyfe (Amasya), 7: Safranbolu (Karabük), 8: Topçam (Ordu), 9: Tamdere (Giresun), 10: Çamlık (Rize), 11: Ovid Mountain (Rize), 12: Lake Abant (Bolu), 13: Kayseri, 14: Erzurum, 15: Samsun, 16: Belgrad Forest (İstanbul), 17: Lake Abant (Bolu), 18: İrve creek (İstanbul), 19: Erçek Mountain (Van), 20: Paşaalandere (Tekirdağ), 21: Lake Terkos (İstanbul), 22: Yeşiloba (Adana), 23: Yenice, Çayır (Zonguldak), 24: Abant (Bolu), 25: Hanyatak village (Sakarya), 26: Longoz forest, Dupnisa cave, Demirköy (Kırklareli), 27: Lake Eber (Afyon), 28: Çırpılar (Çanakkale), 29: Uludağ (Bursa), 30: Balkusan (Karaman).
Dataset to: Vertical distribution of ice nucleating particles over the boreal forest of Hyytiälä, Finland
<p>This repository contains the datasets used in the study 'Vertical distribution of ice nucleating particles over the boreal forest of Hyytiälä, Finland'. Detailed information and technical aspects of the data can be found in the publication.</p>
Figure 4 in Spatial distribution of the epigeic species of earthworms Dendrobaena octaedra and D. attemsi (Oligochaeta: Lumbricidae) in the forest belt of the northwestern Caucasus
Figure 4. Correlation of the sampling frequency of earthworms D. octaedra and D. attemsi in the main forest types, depending on humidity (n: amount of samples). 1: pine forests, 2: dark coniferous forests, 3: coniferous-deciduous forests, 4: beech forests. and 5: deciduous forests. sss
Figure 2 in Spatial distribution of the epigeic species of earthworms Dendrobaena octaedra and D. attemsi (Oligochaeta: Lumbricidae) in the forest belt of the northwestern Caucasus
Figure 2. Occurrence of earthworms in the samples (plant litter + deadwood) in the main forest types of northwestern Caucasus (n; coniferous-deciduous forests: 824, dark coniferous forests: 492, beech forests: 980, deciduous forests: 2275, and pine forests: 220).
Figure 7 in Ecological conditions of Javan langur (Trachypithecus auratus É. Geoffroy Saint-Hilaire, 1812) in Sokokembang Forest (Central Java, Indonesia) through distribution and food preferences
Figure 7. (a) Javan langur males monitoring their group; (b) langur cubs feeding activities in in Sokokembang forest. Photos by Y.M. Putra.
Figure 6 in Ecological conditions of Javan langur (Trachypithecus auratus É. Geoffroy Saint-Hilaire, 1812) in Sokokembang Forest (Central Java, Indonesia) through distribution and food preferences
Figure 6. (a) Vertical Crown space of tree usage patterns (yellow color indicates the space used for feeding activities, red color space not used), (b) Percentage of vertical crown space of tree usage.
Fig. 23. Forest Fires. The scene after a in The herpetofauna of Coahuila, Mexico: composition, distribution, and conservation status
Fig. 23. Forest Fires. The scene after a forest fire in the vicinity of Arteaga, in the municipality of Arteaga. Photo by Manuel Nevárez de los Reyes.
Fig. 7. Forest fires. A in The herpetofauna of Hidalgo, Mexico: composition, distribution, and conservation status
Fig. 7. Forest fires. A forest fire for land use conversion in the vicinity of El Naranjal, in the municipality of Pisaflores. Photo by Christian Berriozabal-Islas.
The global distribution and drivers of wood density across angiosperms and gymnosperms and their impact on forest carbon stocks
<p>Abstract:</p> <div>The density of wood is a key indicator of trees’ carbon investment strategies, impacting productivity and carbon storage. Despite its importance, the global variation in wood density and its environmental controls remain poorly understood, preventing accurate predictions of global forest carbon stocks. Here, we analyze information from 1.1 million forest inventory plots alongside wood density data from 10,703 tree species to create a spatially-explicit understanding of the global wood density distribution and its drivers. Our findings reveal a pronounced latitudinal gradient, with wood in tropical forests being up to ~30% denser than that in boreal forests. In both angiosperms and gymnosperms, hydrothermal conditions represented by annual mean temperature and soil moisture emerged as the primary factors influencing the variation in wood density globally. This indicates similar environmental filters and evolutionary adaptations among distinct plant groups, underscoring the essential role of abiotic factors in determining wood density in forest ecosystems. Additionally, our study highlights the prominent role of disturbance, such as human modification and fire risk, in influencing wood density at more local scales. Factoring in the spatial variation of wood density notably changes the estimates of forest carbon stocks, leading to differences of up to 21% within biomes. Therefore, our research contributes to a deeper understanding of terrestrial biomass distribution and how environmental changes and disturbances impact forest ecosystems.</div> <div> </div> <p>This repository only provides the tif data of this paper. All the codes could be accessed from GitHub: https://github.com/LidongMo/GlobalWoodDensityProject</p>
Linked collectors and determiners for: New Zealand forest-dwelling skinks of the Oligosoma oliveri (McCann) species-complex (Reptilia: Scincidae): reinstatement of O. pachysomaticum (Robb) and an assessment of historical distribution ranges.
Natural history specimen data linked to collectors and determiners held within, "New Zealand forest-dwelling skinks of the Oligosoma oliveri (McCann) species-complex (Reptilia: Scincidae): reinstatement of O. pachysomaticum (Robb) and an assessment of historical distribution ranges". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/62d23c6d-47a2-45b2-b066-f60dac27e9e1">https://bionomia.net/dataset/62d23c6d-47a2-45b2-b066-f60dac27e9e1</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/62d23c6d-47a2-45b2-b066-f60dac27e9e1">https://gbif.org/dataset/62d23c6d-47a2-45b2-b066-f60dac27e9e1</a>. Formatted as a Frictionless Data package.
Research data of "Distribution, characteristics, and importance of particulate and mineral-associated organic carbon in China forest"
<p>We used the Web of Science (https://www.webofscience.com), Google Scholar (https://scholar. google.com), and China National Knowledge Infrastructure (CNKI, http://www.cnki.net) to compile a list of all peer-reviewed articles that investigated the soil organic carbon components in forest ecosystem of China.</p> <p><span>Apart from the SOC and SOC components, forest types, forest age, sampling depth, climatic properties (MAT and MAP), vegetation (</span>microbial biomass carbon<span>, litter biomass, living fin root biomass, above-ground biomass carbon) and edaphic properties (</span>soil pH, total organic carbon, total nitrogen, total phosphorus, soil type<span>, dissolved organic carbon, bulk density and </span>Silt+Clay%<span>) in sites for each study were extracted from material and method section, tables or supporting information in each study.</span></p> <p>After multiple screening of articles, we totally collected 540 observational data from 59 independent studies, which covers major forest ecosystems of China.</p>
Fig. 2 in Predictive distribution modelling for rufous-necked hornbill Aceros nipalensis (Hodgson, 1829) in the core area of the Western Forest Complex, Thailand
Fig. 2. Diagram showing the conceptual framework used to model the distribution of the rufous-necked hornbill in the Western Forest Complex (WEFCOM), Thailand.
Fig. 1 in Predictive distribution modelling for rufous-necked hornbill Aceros nipalensis (Hodgson, 1829) in the core area of the Western Forest Complex, Thailand
Fig. 1. Map of research locations showing the study areas where the point counts were conducted along14 line-transects, using a hand-held GPS to accurately measure the count locations or extent and position of evergreen forest where the RNH lives, in order to predict RNH distribution.
Fig. 3 in Predictive distribution modelling for rufous-necked hornbill Aceros nipalensis (Hodgson, 1829) in the core area of the Western Forest Complex, Thailand
Fig. 3. Presence-absence binary models for RNH distributions after introducing equal sensitivity-specific threshold values to the continuous MaxEnt model based on the smallest home range size of the male RNH #15, as derived from Tifong (2007), during: a, the breeding season; b, the non-breeding season; and c, showing the combined habitat classification.
FIG. 3 in Molecular analysis of the taxonomic and distributional status for the hermit crab genera Loxopagurus Forest, 1964 and Isocheles Stimpson, 1858 (Decapoda, Anomura, Diogenidae)
FIG. 3. — Consensus phylogenetic tree obtained from BAY analysis (50% majority consensus of 19800 trees) of 16S sequences for Loxopagurus, Isocheles, and other selected anomurans. Numbers are significance values of posterior probabilities; values ≤ 50% are not shown. Abbreviations: BRA, Brazil; TEX, Texas; VEN, Venezuela.
FIG. 2 in Molecular analysis of the taxonomic and distributional status for the hermit crab genera Loxopagurus Forest, 1964 and Isocheles Stimpson, 1858 (Decapoda, Anomura, Diogenidae)
FIG. 2. — Single phylogenetic tree obtained from MP analysis of 16S sequences for Loxopagurus, Isocheles, and other selected anomurans. Numbers are significance values for 1000 bootstraps; values ≤ 50% are not shown. Abbreviations: BRA, Brazil; TEX, Texas; VEN, Venezuela.
FIG. 1 in Molecular analysis of the taxonomic and distributional status for the hermit crab genera Loxopagurus Forest, 1964 and Isocheles Stimpson, 1858 (Decapoda, Anomura, Diogenidae)
FIG. 1. — Single phylogenetic tree obtained from NJ analysis of 16S sequences for Loxopagurus, Isocheles, and other selected anomurans. Numbers are significance values for 1000 bootstraps; values ≤ 50% are not shown. Abbreviations: BRA, Brazil; TEX, Texas; VEN, Venezuela.
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.