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.
110
datasets available to search
ShareScore release 0.7.1
Dataset results
110 results for “Biological survey”
Figure 2 in Survey of European mites from the suborder Uropodina: II. Morphology, geographical distribution, biology, and ecology of Trematurella elegans (Kramer, 1882)
Figure 2 Trematurella elegans – Female; A-B – Dorsal side, details of sculpture of central and marginal parts; C-E – Lateral view.
Figure 1 in Survey of European mites from the suborder Uropodina: II. Morphology, geographical distribution, biology, and ecology of Trematurella elegans (Kramer, 1882)
Figure 1 Trematurella elegans – Female, dorsal side: A – General view; B – Vertex; C – Dorsal shield, central part; D – Marginal shield, sculpture and setae on lateral part; E – Marginal shield, sculpture and setae on posterior part; ls – Lateral setae, ms – Marginal setae, ds – Dorsal setae.
Figure 16 in Survey of European mites from the suborder Uropodina: II. Morphology, geographical distribution, biology, and ecology of Trematurella elegans (Kramer, 1882)
Figure 16 The proportional distribution of individuals of Trematurella elegans in collected samples throughout the year.
Figure 9 in Survey of European mites from the suborder Uropodina: II. Morphology, geographical distribution, biology, and ecology of Trematurella elegans (Kramer, 1882)
Figure 9 Trematurella elegans – Deutonymph: A – Lateral view; B – Dorsal side, General view; C – Sternal region; D – Opisthosoma.
Figure 13 in Survey of European mites from the suborder Uropodina: II. Morphology, geographical distribution, biology, and ecology of Trematurella elegans (Kramer, 1882)
Figure 13 Trematurella elegans – Larva, ventral side: A – General view; B – Gnathosoma; C – Intercoxal region; D – Opisthosoma.
Figure 8 in Survey of European mites from the suborder Uropodina: II. Morphology, geographical distribution, biology, and ecology of Trematurella elegans (Kramer, 1882)
Figure 8 Trematurella elegans – Deutonymph, dorsal side: A – General view; B – Anterior part of idiosoma; C – Central part of dorsal shield; D – Posterior part of idiosoma; E – Lateral part of idiosoma.
Figure 11 in Survey of European mites from the suborder Uropodina: II. Morphology, geographical distribution, biology, and ecology of Trematurella elegans (Kramer, 1882)
Figure 11 Trematurella elegans – Protonymph, ventral side: A – General view; B – Hypostome; C – intercoxal region; D – Opisthosoma.
Figure 4 in Survey of European mites from the suborder Uropodina: II. Morphology, geographical distribution, biology, and ecology of Trematurella elegans (Kramer, 1882)
Figure 4 Trematurella elegans – Female, ventral side: A – General view; B – Intercoxal region; C – Opisthosoma; D – Anal region, E – Pedofossae III and IV.
Figure 10 in Survey of European mites from the suborder Uropodina: II. Morphology, geographical distribution, biology, and ecology of Trematurella elegans (Kramer, 1882)
Figure 10 Trematurella elegans – Protonymph, dorsal side: A – General view; B – Vertex and anterior part of the idiosoma; C – Sculpture and setae in the midpart of shield; D – Posterior part of the idiosoma; E – Marginal setae.
Figure 7 in Survey of European mites from the suborder Uropodina: II. Morphology, geographical distribution, biology, and ecology of Trematurella elegans (Kramer, 1882)
Figure 7 Trematurella elegans – Male, ventral side: A – General view; B – Intercoxal region, P – pores; C –Gnathosoma.
Local plant diversity and soybean biological control 2012 Aphid Surveys:Biodiversity II: Effects of Plant Biodiversity on Population and Ecosystem Processes
Biodiversity II (E120) is designed to determine how the number of plant species affects the dynamics of ecological processes at the population, community, and ecosystem levels. By experimentally manipulating the number of species and the kinds of species, the amount of plant growth and the change from year to year, that result can be examined. Plots are large (9m x 9m actively maintained) and well-replicated, allowing responses of plant pathogens, insect herbivores, seed predators, soil parameters, invasive plant species and other variables to also be studied. Plots were seeded in May 1994 to have 1, 2, 4, 8, or 16 species, with roughly 30 replicates of each diversity level. The species composition of each plot was chosen by random draw from a pool of 18 grassland perennials that included four warm-season (C4) grasses, four cool-season (C3) grasses, four legumes, four non-legume forbs, and two woody species. All species occur in monoculture allowing comparison of responses of each species in monoculture to combinations of these same species. The experiment was established in 1994 by the lead investigators David Tilman, Peter Reich, Johannes Knops, and David Wedin. Experiment 120 is similar to Experiment 123, but it uses larger plots to provide a large capacity for long-term subexperiments.
Soil Carbon and Nitrogen Deep Core Surveys at the Kellogg Biological Station, Hickory Corners, MI (2001 to 2013)
Dataset Abstract An LTER project goal is to periodically collect and analyze deep soil cores for the main site treatments and successional and forest sites. Soil is sampled to a depth of one meter, and analyzed for horizon depths, texture, moisture, and carbon and nitrogen content. original data source http://lter.kbs.msu.edu/datasets/47
FIG. 30 in Phalangopsidae crickets (Orthoptera, Grylloidea) from the Mitaraka biological survey, French Guiana
FIG. 30. — Predation of phalangopsid crickets by spiders in the Mitaraka. Photos: Sylvain Hugel.
FIG. 1 in Phalangopsidae crickets (Orthoptera, Grylloidea) from the Mitaraka biological survey, French Guiana
FIG. 1. — Location of 'Our Planet Revisited' Mitaraka survey (white circle). Map by L. Wilmé.
Figure 14 in Survey of European mites from the suborder Uropodina: II. Morphology, geographical distribution, biology, and ecology of Trematurella elegans (Kramer, 1882)
Figure 14 Distribution ofTrematurella elegans in Europe;? – Probable occurrence.
Figure 3 A, B in Survey of European mites from the suborder Uropodina: II. Morphology, geographical distribution, biology, and ecology of Trematurella elegans (Kramer, 1882)
Figure 3 A, B – Trematurella elegans – Female, characteristic spines (S) on the marginal shield.
Survey for ranking preferences in search for biological datasets
<p>We conducted a survey from November 2018 to March 2019 in Germany among 26 scholars with expertise in biodiversity research to determine preferences in dataset search.<br> In particular, we wanted to explore suitable semantic extensions in the search result and possible additional recommendations on related topics that scholars support in retrieving relevant datasets.</p> <p>The scholars were faced with four different search scenarios and pre-defined answer options. They gave their ratings on a 5-point-Likert scale.<br> The scenarios addressed different important topics in biodiversity research, e.g., a search for organisms, materials, processes and data parameters.</p> <p>This folder contains the original survey results as well as the analysis per topic (category).</p>
Local plant diversity and soybean biological control 2011 Aphid and Enemy Surveys:Biodiversity II: Effects of Plant Biodiversity on Population and Ecosystem Processes
Biodiversity II (E120) is designed to determine how the number of plant species affects the dynamics of ecological processes at the population, community, and ecosystem levels. By experimentally manipulating the number of species and the kinds of species, the amount of plant growth and the change from year to year, that result can be examined. Plots are large (9m x 9m actively maintained) and well-replicated, allowing responses of plant pathogens, insect herbivores, seed predators, soil parameters, invasive plant species and other variables to also be studied. Plots were seeded in May 1994 to have 1, 2, 4, 8, or 16 species, with roughly 30 replicates of each diversity level. The species composition of each plot was chosen by random draw from a pool of 18 grassland perennials that included four warm-season (C4) grasses, four cool-season (C3) grasses, four legumes, four non-legume forbs, and two woody species. All species occur in monoculture allowing comparison of responses of each species in monoculture to combinations of these same species. The experiment was established in 1994 by the lead investigators David Tilman, Peter Reich, Johannes Knops, and David Wedin. Experiment 120 is similar to Experiment 123, but it uses larger plots to provide a large capacity for long-term subexperiments.
Local plant diversity and soybean biological control 2012 Enemy Surveys:Biodiversity II: Effects of Plant Biodiversity on Population and Ecosystem Processes
Biodiversity II (E120) is designed to determine how the number of plant species affects the dynamics of ecological processes at the population, community, and ecosystem levels. By experimentally manipulating the number of species and the kinds of species, the amount of plant growth and the change from year to year, that result can be examined. Plots are large (9m x 9m actively maintained) and well-replicated, allowing responses of plant pathogens, insect herbivores, seed predators, soil parameters, invasive plant species and other variables to also be studied. Plots were seeded in May 1994 to have 1, 2, 4, 8, or 16 species, with roughly 30 replicates of each diversity level. The species composition of each plot was chosen by random draw from a pool of 18 grassland perennials that included four warm-season (C4) grasses, four cool-season (C3) grasses, four legumes, four non-legume forbs, and two woody species. All species occur in monoculture allowing comparison of responses of each species in monoculture to combinations of these same species. The experiment was established in 1994 by the lead investigators David Tilman, Peter Reich, Johannes Knops, and David Wedin. Experiment 120 is similar to Experiment 123, but it uses larger plots to provide a large capacity for long-term subexperiments.
Bioenergy and Land Use Survey at the Kellogg Biological Station, Hickory Corners, MI (2012 to 2012)
Dataset Abstract The goal of this mail survey was to explore landowners’ attitudes, perceptions, and willingness to grow energy crops on marginal land in the southern half of the Lower Peninsula of Michigan. A major objective was to predict the potential supply of four potential bioenergy crops on three land types (cropland, hay & pasture land, farmable non-crop land), with special focus on the latter two categories of “marginal” land. The contingent valuation completely randomized experimental design covers four energy crops (corn, switchgrass, hybrid poplar, trees, mixed prairie) with four pre-defined rental rate offers ($50, $100, $200, $300 per acre) at one of two rental contract durations (5 or 10 years) for a total of 32 versions of the questionnaire. The area frame sample targeted owners of plots of 10 acres (4 hectares) or more of “marginal” land, using the USDA Cropland Data Layer 2010 where “marginal land” was defined as fallow cropland, shrubland, grassland, and hay or pasture. The two-stage clustered random sampling design began with random selection of 12 selected non-metropolitan counties in southern Michigan (the clusters) and within each one random selection of 100 owners of land parcels of at least 10 acres (4 ha.), where possible. The 4-wave direct mail survey asked landowners about their land uses, attitudes about their land, awareness of bioenergy crops, opinions about bioenergy and environment, concerns about land rental, and demographic background. The contingent valuation section asked for respondent willingness to rent each of the three land types for each of the four bioenergy crops at a specified rental rate for a specified contract period. The survey began in March 2012 and was completed in August 2012 original data source http://lter.kbs.msu.edu/datasets/124
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.