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.
234
datasets available to search
ShareScore release 0.9.0
Dataset results
234 results for “community analysis”
Text-fig. 14. Scanning electron microscope (SEM) and synchrotron radiation X-ray tomographic microscopy (SRXTM) images of seeds of Gastonispermum antiquum sp. nov. (a–e) and possible fruits (f–h); Torres Vedras locality, Portugal. a–c) Lateral view of seeds (holotype figured in b) showing the hilar-micropylar area and the course of the raphe; note the close association of hilum (arrowhead) and micropyle; d) Detail of seed wall showing the undulating surface of the exotesta composed of cells with sinuous cell outlines; e) Longitudinal section (orthoslice xy0914) through the hilar-micropylar area showing the hilum (arrowhead), the thickening of the endotesta around the micropyle and the course of the raphe within the exotesta (arrow); f–h) Fruits containing in The Early Cretaceous Mesofossil Flora Of Torres Vedras (Ne Of Forte Da Forca), Portugal: A Palaeofloristic Analysis Of An Early Angiosperm Community
Text-fig. 14. Scanning electron microscope (SEM) and synchrotron radiation X-ray tomographic microscopy (SRXTM) images of seeds of Gastonispermum antiquum sp. nov. (a–e) and possible fruits (f–h); Torres Vedras locality, Portugal. a–c) Lateral view of seeds (holotype figured in b) showing the hilar-micropylar area and the course of the raphe; note the close association of hilum (arrowhead) and micropyle; d) Detail of seed wall showing the undulating surface of the exotesta composed of cells with sinuous cell outlines; e) Longitudinal section (orthoslice xy0914) through the hilar-micropylar area showing the hilum (arrowhead), the thickening of the endotesta around the micropyle and the course of the raphe within the exotesta (arrow); f–h) Fruits containing
Text-fig. 13. Scanning electron microscope (SEM) images of pollen or spore clump with pollen grains or spores of unknown affinity that occur separately or adhering together in dyads, triads and tetrads; Torres Vedras locality, Portugal. a) Clump of pollen or spores that yielded the pollen or spores in this Text-figure; b–f) Grains adhering together in twos, threes or fours (b–e) or occurring singly and apparently with a proximal trilete mark (f); note that the adhering grains are connected by a smooth bandlike covering, perhaps remains of the microspore mother cell; note also abundant orbicules of various sizes among and over the grains. Specimen, TV44-S148149. Scale bars 300 Μm (a), 30 Μm (b–f). in The Early Cretaceous Mesofossil Flora Of Torres Vedras (Ne Of Forte Da Forca), Portugal: A Palaeofloristic Analysis Of An Early Angiosperm Community
Text-fig. 13. Scanning electron microscope (SEM) images of pollen or spore clump with pollen grains or spores of unknown affinity that occur separately or adhering together in dyads, triads and tetrads; Torres Vedras locality, Portugal. a) Clump of pollen or spores that yielded the pollen or spores in this Text-figure; b–f) Grains adhering together in twos, threes or fours (b–e) or occurring singly and apparently with a proximal trilete mark (f); note that the adhering grains are connected by a smooth bandlike covering, perhaps remains of the microspore mother cell; note also abundant orbicules of various sizes among and over the grains. Specimen, TV44-S148149. Scale bars 300 Μm (a), 30 Μm (b–f).
Text-fig. 10. Scanning electron microscope (SEM) images of conifer seeds (a, b) and pollen (c) and monoporate pollen of unknown affinity (d–j); Torres Vedras locality, Portugal. a, b) Unnamed conifer seeds (conifer seed sp. 1); c) Clump of bisaccate pollen grains; d) Fragment with microsporangia that yielded the pollen in (e–j); e, f, h) Monoporate pollen grains folded in various ways, exposing the tiny pore (e, h, arrowheads) or resembling a monocolpate grain (f); g) Detail of pollen grain showing pore (arrowhead) and finely rugulate exine surface that reflects the reticulate infratectal layer beneath the thin tectum; i) Detail of pore showing very slightly thickened margin; j) Spherical orbicules on the surface of two grains. Specimens, TV44-S174594 (a), TV44-S174595 (b), TV44-S174573 (c), TV44-S137904 (d–j). Scale bars 1 mm (a, b), 300 Μm (d), 100 Μm (c), 6 Μm (e, f, h), 3 Μm (g, j), 1.5 Μm (i). in The Early Cretaceous Mesofossil Flora Of Torres Vedras (Ne Of Forte Da Forca), Portugal: A Palaeofloristic Analysis Of An Early Angiosperm Community
Text-fig. 10. Scanning electron microscope (SEM) images of conifer seeds (a, b) and pollen (c) and monoporate pollen of unknown affinity (d–j); Torres Vedras locality, Portugal. a, b) Unnamed conifer seeds (conifer seed sp. 1); c) Clump of bisaccate pollen grains; d) Fragment with microsporangia that yielded the pollen in (e–j); e, f, h) Monoporate pollen grains folded in various ways, exposing the tiny pore (e, h, arrowheads) or resembling a monocolpate grain (f); g) Detail of pollen grain showing pore (arrowhead) and finely rugulate exine surface that reflects the reticulate infratectal layer beneath the thin tectum; i) Detail of pore showing very slightly thickened margin; j) Spherical orbicules on the surface of two grains. Specimens, TV44-S174594 (a), TV44-S174595 (b), TV44-S174573 (c), TV44-S137904 (d–j). Scale bars 1 mm (a, b), 300 Μm (d), 100 Μm (c), 6 Μm (e, f, h), 3 Μm (g, j), 1.5 Μm (i).
Fig. 3. Non-metric multidimensional scaling analysis for the 13 in Trophic structure of a fish community in Bananal stream subbasin in Brasília National Park, Cerrado biome (Brazilian Savanna), DF
Fig. 3. Non-metric multidimensional scaling analysis for the 13 more abundant fish species' diet found in the Bananal stream subbasin, Paranoá Lake basin, DF. Indication of four groups A, B, C and D. Species abbreviations: Aspidoras fuscoguttatus (aspfus), Astyanax sp. (astsp), Characidium xanthopterum (chaxan), Hasemania sp. (hassp), Hyphessobrycon balbus (hypbal), Heptapterus sp. (hepsp), Knodus moenkhausii (knomoe), Kolpotocheirodon theloura (kolthe), Moenkhausia sp. (moesp), Phalloceros harpagos (phahar), Planaltina myersi (plamye), Rhamdia quelen (rhaque) and Rivulus pictus (rivpic).
BIO4AFRICA_Survey Data Uganda - Analysis of the needs and contexts of target farmers and rural communities with a gender lens_D1.1_311022_1
<p>The results of this survey support the identification of the needs, challenges, and context of target farmers and rural communities and how, why and under which circumstances the social, economic, regulatory, institutional, market and political circumstances could act as a barrier or an enabler for the uptake of bio-based solutions.</p>
BIO4AFRICA_Survey Data Senegal - Analysis of the needs and contexts of target farmers and rural communities with a gender lens_D1.1_101022_1
<p>The results of this survey support the identification of the needs, challenges, and context of target farmers and rural communities and how, why and under which circumstances the social, economic, regulatory, institutional, market and political circumstances could act as a barrier or an enabler for the uptake of bio-based solutions.</p>
BIO4AFRICA_Survey Data Ghana - Analysis of the needs and contexts of target farmers and rural communities with a gender lens_D1.1_101022_1
<p>The results of this survey support the identification of the needs, challenges, and context of target farmers and rural communities and how, why and under which circumstances the social, economic, regulatory, institutional, market and political circumstances could act as a barrier or an enabler for the uptake of bio-based solutions.</p>
BIO4AFRICA_Survey Data Ivory Coast - Analysis of the needs and contexts of target farmers and rural communities with a gender lens_D1.1_311022_1
<p>The results of this survey support the identification of the needs, challenges, and context of target farmers and rural communities and how, why and under which circumstances the social, economic, regulatory, institutional, market and political circumstances could act as a barrier or an enabler for the uptake of bio-based solutions.</p>
Data and code for reproducing analysis in 'Producing indicative allocations for Community Led Local Development funding in Scotland (2022-23)'
<p>The data and code in this folder can be used to reproduce work used to generate indicative allocations of Community Led Local Development funding (2022-23) to 21 Local Action Group (LAG) areas in Scotland. It accompanies a note ('Producing indicative allocations for Community Led Local Development funding in Scotland (2022-23)', <a href="https://doi.org/10.5281/zenodo.7418862">https://doi.org/10.5281/zenodo.7418862</a>) providing an overview of the analysis and its key outputs.</p>
Long-term coastal macrobenthic Community Trajectory Analysis reveals habitat-dependent stability patterns
<p>Long-term monitoring programs are fundamental to detecting changes in ecosystem health and understanding ecological processes. In the current context of increasing anthropogenic threats on marine ecosystems, understanding the dynamics and response of communities becomes essential. We used data collected over 14 years in the REBENT benthic coastal invertebrates monitoring program, at a regional scale in the North-East Atlantic, covering a total of 26 sites and 979 taxa. Four distinct habitats were studied: two biogenic habitats associated with foundation species in the intertidal and subtidal zones and two bare sedimentary habitats in the same respective tidal zones. We used Community Trajectory Analysis, a statistical approach that allows for quantitative measures and comparisons of temporal trajectories of ecosystems. We compared observed community trajectories to trajectories simulated under a non-directional null model in order to better understand the dynamics of the communities, their potential drivers, and the role of the studied habitats in these dynamics. Despite strong differences in the community compositions between sites and habitats, the communities followed non-directional dynamics during the 14 years monitored, which suggested stability at the regional scale. However, the shape, size, and direction of the trajectories of benthic communities were more similar within than among habitats, also suggesting the influence of the nature of the habitat on community dynamics. Results showed a higher variability in community composition in the first years of the monitoring in the intertidal bare habitat and confirmed the role of biogenic habitats in maintaining temporal stability. They also highlighted the need to apprehend the role of transient and rare species and the scale of observation in temporal beta diversity analyses. Finally, our study confirmed the usefulness of Community Trajectory Analysis to link observed trajectory patterns to fundamental ecological processes.</p>
Scripts of data selection and analysis: role of community size in driving spatial variation in riverine fish metacommunities around the world
<p>Here we describe how we obtained and analyzed data for the manuscript: High compositional dissimilarity among small communities is decoupled from environmental variation, accepted for publication in Oikos. (10.1111/oik.09802). A preprint is also available: https://doi.org/10.32942/osf.io/vngse</p> <p>We investigated the role of community size in mediate the strength of ecological drift and environmental selection in driving community spatial variation in metacommunities. </p>
ipaast project - community stakeholder survey data and basic analysis
<p>This data provides the basis for the report titled</p> <p>"Ready for integrated sustainable agricultural land management? </p> <p>Are practitioners in archaeology and agriculture informed, willing, enabled, and motivated to change how they work with remote and near-surface sensing data to collaboratively address contemporary challenges in sustainable agricultural land management? "</p> <p>Data were collected in compliance with the University of Glasgow's Research Ethics Policy (Application #100200154).</p> <p>As stated in the Methods section of this report:</p> <p>"The participatory survey was conducted between May 2021 and October 2022. </p> <p>Location: The preponderance of stakeholders engaged with are professional practitioners or researchers based in the UK, Belgium, Italy, Cyprus, Spain and France. Sessions occurred remotely (online/phone), as well as on site, during workshops at the University of Glasgow, the Dalswinton Estate, Dumfries, and Manor Farm, Yedingham. </p> <p>Participants </p> <p>Selection: A sub-group of 51 high-level participants were selected from a greater network of 86 stakeholders who were engaged with during the ipaast project. </p> <p>Sector: Farmers, researchers, heritage managers, geophysicists, remote sensing specialists, statisticians, soil scientists, service providers, sensor developers, and data archivists, who all deal directly, or indirectly with datasets relating to the measurement of soil and/or plant properties (physical, chemical, microbial) were represented (Table 1) </p> <p>Expertise: Engagement with mid- to late- career specialists was prioritised, with many participants having over 20 years of experience and most having over 10 years of experience (including time during the PhD). </p> <p> </p> <p>Interview method </p> <p>Engagement with stakeholders was primarily through one-to-one interviews and structured workshop discussions, conducted either in person, or remotely over video conference or phone. In some instances, participants provided written input (see Table 2 summary). Follow-up interviews or written exchanges were used to clarify or continue discussions when required. A semi-structured approach to interviews and discussions was preferred, with a mix of general questions (see sample questions), as well as questions specifically tailored to the participants specialist background and experience. </p> <p>Sample Questions: </p> <ul> <li> <p>What types of sensing data do you use/collect? </p> </li> </ul> <ul> <li> <p>Where/how do you access/collect these data? </p> </li> <li> <p>What are your main aims/applications in using or collecting these data? </p> </li> <li> <p>How often do you access/collect, or anticipate accessing/collecting, these data to be useful to you? </p> </li> <li> <p>What spatial resolution is necessary for these data to be useful to you? </p> </li> <li> <p>What, if anything, would encourage/discourage you from sharing your data? </p> </li> </ul> <ul> <li> <p>What kinds of additional data types or additional information (metadata) might help you to better understand and use data which you have previously collected or received? </p> </li> <li> <p>What do you see as the main impacts, if any, of ecosystem service frameworks and/or recent changes to rural/environmental regulations on your work? </p> </li> <li> <p>What attitudes to sensing data do you see from other stakeholders in rural affairs? </p> </li> </ul> <p>Documentation: Where viable, interviews and workshop discussions were recorded and transcribed; alternatively, notes were made during engagement by either the interviewer and/or dedicated participant observers (e.g. at workshops). Where notes were used, specific quotes and summary reports were checked with the participants for accuracy. "</p>
Fig 1 in Invertebrate Communities Associated To Parastacus Pugnax (Decapoda, Parastacidae) Northern Patagonian Populations (38° S, Araucania, Chile): A First Exploratory Analysis
Fig 1. Cluster analysis for invertebrate communities reported for sites included in the present study.
Submitted forecasts and analysis code for "Predicting spring phenology in deciduous broadleaf forests: NEON Phenology Forecasting Community Challenge"
<p>Submitted forecasts for the 2021 Ecological Forecasting Initiative NEON Phenology Forecast Challenge and the analysis code for the accompanying manuscript. </p>
Geospatial Analysis of Road Conditions and Hazardous Factors in Communities on Continuous vs. Sporadic Permafrost in Greenland
<p>Road conditions and hazardous factors were surveyed in two permafrost-affected communities of West Greenland, Ilulissat (underlain by continuous ice-rich permafrost) and Sisimiut (underlain by sporadic permafrost). Pavement damages, repairs, embankment structural elements, artificial drainage systems, water accumulations and preferential snow ploughing deposits were notably mapped and georeferenced in a geographic information system to form high-resolution spatial databases. In total, respectively 66 and 76 \% of the paved road networks of Ilulissat and Sisimiut were surveyed. Manual in-situ mapping took place in September 2020 and September 2021 in Ilulissat, while Global Navigation Satellite System (GNSS) equipment was used to map road conditions in Sisimiut in September 2020. The severity of the pavement damages was assessed according to the ASTM D 6433–07, Standard Practice for Roads and Parking Lots Pavement Condition Index Surveys, by ASTM International (2008). The drainage conditions were characterized following the recommendations in Cold Regions Pavement Engineering, by Doré, G. and Zubeck, H. K. (2009).</p> <p>This dataset comprises the geospatial layers of the road damage and hazard inventories created for the settlements of Ilulissat and Sisimiut. Each settlement’s inventory is provided in a ZIP-folder, containing the geospatial layers as geopackages and sorted following a thematic structure. Further information about each layer and its attributes can be found in the metadata PDF document.</p>
Data and tools of the landscape and cost analysis of data repositories currently used by the Swiss research community
<p>This file collection is part of the ORD Landscape and Cost Analysis Project (DOI: 10.5281/zenodo.2643460), a study jointly commissioned by the SNSF and swissuniversities in 2018.</p> <p>Please cite this data collection as:<br> von der Heyde, M. (2019). Data and tools of the landscape and cost analysis of data repositories currently used by the Swiss research community. Retrieved from https://doi.org/10.5281/zenodo.2643495</p> <p>Connected data papers are:<br> von der Heyde, M. (2019). Open Data Landscape: Repository Usage of the Swiss Research Community: Description of collection, collected data, and analysis methods [Data paper]. Retrieved from https://doi.org/10.5281/zenodo.2643430<br> von der Heyde, M. (2019). International Open Data Repository Survey: Description of collection, collected data, and analysis methods [Data paper]. Retrieved from https://doi.org/10.5281/zenodo.2643450</p> <p>Connected data sets are:<br> von der Heyde, M. (2019). Data from the Swiss Open Data Repository Landscape survey. Retrieved from https://doi.org/10.5281/zenodo.2643487<br> von der Heyde, M. (2019). Data from the International Open Data Repository Survey. Retrieved from https://doi.org/10.5281/zenodo.2643493</p> <p> </p> <p><strong>Contact</strong></p> <p>Swiss National Science Foundation (SNSF)</p> <p>Open Research Data Group</p> <p>E-mail: <a href="mailto:ord@snf.ch">ord@snf.ch</a></p> <p> </p> <p>swissuniversities</p> <p>Program "Scientific Information"</p> <p>Gabi Schneider</p> <p>E-Mail: <a href="mailto:isci@swissuniversities.ch">isci@swissuniversities.ch</a></p>
Data and analysis scripts for: Co-occurrence patterns at four spatial scales implicate reproductive processes in shaping community assembly in clovers
Open the record for dataset details and reuse information.
Intraspecific diversity poorly predicts invasibility and invasiveness in communities: A meta-analysis of experimental invasions
Open the record for dataset details and reuse information.
Long-term coastal macrobenthic Community Trajectory Analysis reveals habitat-dependent stability patterns
Open the record for dataset details and reuse information.
Data from: Comparative analysis of environmental DNA metabarcoding and spectro-fluorescence for phytoplankton community assessments
Open the record for dataset details and reuse information.
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.