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.
2,007
datasets available to search
ShareScore release 0.9.0
Dataset results
2,007 results for “ecological species”
Schoolyard ecology at North Temperate Lakes LTER: Dragonfly Species Presence at Stormwater Retention Ponds in July of 2014
This study aims to integrate scientific observations with community involvement, specifically with dragonfly species. The presence and absence of 17 dragonfly species was observed at Stormwater Retention ponds in the Madison area in July of 2014 and made into frequency distributions. This research will continue with community outreach in the area to further involve and educate the community on the biodiversity of their local ponds.
Systems Ecology Lab Bajada Site: Weekly phenology observations of shrub and grass species at a bajada site at Jornada Basin LTER from 2010-2019
This dataset contains field-observed plot level phenology data for three perennial shrubs and one perennial grass at a bajada site at the Jornada Basin LTER site from 2010 to present. Shrubs include creosote (Larrea tridentata), honey mesquite (Prosopis glandulosa), and tarbush (Fluorensia). The grass is bush muhly grass (Muhlenbergia porteri). The protocols and phenophase categories were developed by the US National Phenology Network (US-NPN) to detect the different life-cycles of the plant, from leaf development (breaking leaf buds, young unfolded leaves, percentage of leaves in canopy), to flower development (flower buds, open flowers, full flowering), and presence of fruit (ripe fruits, fruits from past growing season). Field data sheets were modified from the US-NPN to record the presence or absence of each phenophase recorded at each observation period for each tagged plant. This dataset is complete.
Explosive networking: the role of adaptive host radiations and ecological opportunity in a species-rich host-parasite assembly
<p>Dataset for Cruz-Laufer et al. (2021) Explosive networking: the role of adaptive host radiations and ecological opportunity in a species-rich host-parasite assembly.</p> <p><strong>Abstract: </strong>Many species-rich ecological communities emerge from adaptive radiation events. The effects of this explosive speciation on community assembly remain poorly understood. Here, we explore the well-documented radiations of African cichlid fishes and their interactions with the flatworm gill parasites <em>Cichlidogyrus </em>spp., including 10529 reported infections and 477 different host-parasite combinations collected through a survey of peer-reviewed literature. We assess how evolutionary, ecological, and morphological parameters determine host-parasite meta-communities affected by adaptive radiation events through network metrics, host repertoire measures, and network link prediction. The hosts’ evolutionary history mostly determined host repertoires of the parasites. Ecological and evolutionary parameters determined host-parasite interactions. Generally, ecological opportunity and fitting have shaped cichlid-<em>Cichlidogyrus</em> meta-communities suggesting an invasive potential for hosts used in aquaculture. Meta-communities affected by adaptive radiations are increasingly specialised with higher environmental stability. These trends should be verified across other systems to infer generalities in the evolution of species-rich host-parasite networks.</p>
Data for Marine Ecological Niche Models, for 2019 and across RCP 2.6, 4.5, and 8.5 scenarios in 2050 and 2100: Global-scale Environmental parameters at 0.1° and 0.5° resolutions, Presence and Absence Records of 1508 European-seas Species
<p>Data for Ecological Niche Models: Global-scale Environmental parameters at 0.1° and 0.5° resolutions, Presence and Absence Records of 1508 European-seas Species.</p>
Ecological Niche Models, in 2019 and across RCP 2.6, 4.5, and 8.5 scenarios in 2050 and 2100, of 1508 European Marine Species, developed with Artificial Neural Networks, Maximum Entropy, Support Vector Machines, and AquaMaps at 0.5° Resolution
<p>Native ecological niche models of 1508 European species (894 fish and 614 non fish) developed with AquaMaps, Artificial Neural Networks, Maximum Entropy, and Support Vector Machines, for 2019 and under RCP 2.6, 4.5, and 8.5 scenarios in 2050 and 2100, at 0.5° spatial resolution.</p>
Biodiversity Index, in 2019 and across RCP 4.5, and 8.5 scenarios in 2050 and 2100 of 1508 European Marine Species based on ensemble Ecological Niche Models developed with Artificial Neural Networks, Maximum Entropy, Support Vector Machines, and AquaMaps at 0.5° Resolution
<p>Biodiversity Index in 2019 and across RCP 4.5, and 8.5 scenarios in 2050 and 2100 of 1508 European marine species based on ensemble Ecological Niche Models developed with Artificial Neural Networks, Maximum Entropy, Support Vector Machines, and AquaMaps at 0.5° Resolution. The Index counts the number of species (among the 1508) potentially present in each 0.5° cell according to the ensemble models. For each ensemble model, a threshold of at least 3 models agreeing on species presence in the cell was used to indicate species presence.</p>
Ecological Niche Models of 96 European Marine Species, for 2019, developed with AquaMaps, Artificial Neural Networks, Maximum Entropy, and Support Vector Machines at 0.1° Resolution
<p>Native ecological niche models of 96 European marine species of particular commercial and conservation interest developed with AquaMaps, Artificial Neural Networks, Maximum Entropy, and Support Vector Machines, for 2019 at 0.1° spatial resolution.</p>
Ensemble Ecological Niche Models and Biodiversity Index for 2019 of 96 European Marine Species based on Ecological Niche Models developed with Artificial Neural Networks, Maximum Entropy, AquaMaps, and Support Vector Machines at 0.1° Resolution
<p>Ensemble Ecological Niche Models for 2019 of 96 European marine species of particular commercial and conservation interest, based on Ecological Niche Models developed with (i) Artificial Neural Networks, (ii) Maximum Entropy, (iii) Support Vector Machines, and (iv) AquaMaps at 0.1° Resolution. The data report, for each 0.1° cell, how many models (from 0 to 4) overcome a model-specific decision threshold to assess species presence in the cell. A Biodiversity Index is also provided as the count of the number of species (among the 96) potentially present in each 0.1° cell according to the ensemble models. For each ensemble model, a threshold of at least 3 models agreeing on species presence in the cell was used to indicate species presence.</p>
Hubbard Brook Stream Ecology Record: Diatom Species Richness and Voucher Flora, 2018-2022
This dataset contains species richness data for epiphytic diatom communities collected from weir ponds in seven headwater streams within the Hubbard Brook Experimental Forest (HBEF) in New Hampshire between 2018 and 2021. Diatom samples were gathered using artificial bryophyte substrates, deployed in weir ponds to mimic natural diatom habitats. Species richness was quantified by identifying diatom taxa to the lowest possible taxonomic level, with 86 taxa spanning 43 genera recorded. This dataset represents the first comprehensive classification of diatom communities at HBEF, providing a baseline for future studies in this ecosystem. Environmental variables, including light availability, dissolved organic carbon, total dissolved nitrogen, and pH, were concurrently measured to assess their influence on diatom community composition. The light (lux) data used in this study is openly available in the EDI Data Portal at https://doi.org/10.6073/pasta/0f40b75b299494d736645d940fa2b5a4. The chlorophyll-a data and analysis methodology are available at https://doi.org/10.6073/pasta/7fa32d94240fc7780d62cb7e65eafdb2. Reach characteristics were sourced from the EDI Data Portal at https://doi.org/10.6073/pasta/3e4b95149245341d522383bba51de7c7. This study provides valuable insights into the relationships between environmental factors and diatom diversity in northern hardwood forest streams, aiding ecological monitoring and bioindicator studies. These data were gathered as part of the Hubbard Brook Ecosystem Study (HBES). The HBES is a collaborative effort at the Hubbard Brook Experimental Forest, which is operated and maintained by the USDA Forest Service, Northern Research Station.
Inferring the mammal tree: Species-level sets of phylogenies for questions in ecology, evolution, and conservation
<p>Big, time-scaled phylogenies are fundamental to connecting evolutionary processes to modern biodiversity patterns. Yet inferring reliable phylogenetic trees for thousands of species involves numerous trade-offs that have limited their utility to comparative biologists. To establish a robust evolutionary timescale for all ~6000 living species of mammals, we developed credible sets of trees that capture root-to-tip uncertainty in topology and divergence times. Our 'backbone-and-patch' approach to tree-building applies a newly assembled 31-gene supermatrix to two levels of Bayesian inference: (i) backbone relationships and ages among major lineages, using fossil node- or tip-dating; and (ii) species-level 'patch' phylogenies with non-overlapping in-groups that each correspond to one representative lineage in the backbone. Species unsampled for DNA are either excluded ('DNA-only' trees) or imputed within taxonomic constraints using branch lengths drawn from local birth-death models ('completed' trees). Joining time-scaled patches to backbones results in species-level trees of extant Mammalia with all branches estimated under the same modeling framework, thereby facilitating rate comparisons among lineages as disparate as marsupials and placentals. We compare our phylogenetic trees to previous estimates of mammal-wide phylogeny and divergence times, finding that (i) node ages are broadly concordant among studies, and (ii) recent (tip-level) rates of speciation are estimated more accurately in our study than in previous 'supertree' approaches where unresolved nodes led to branch length artifacts. Credible sets of mammalian phylogenetic history are now available for download at <a href="http://vertlife.org/phylosubsets">http://vertlife.org/phylosubsets</a>, enabling investigations of long-standing questions in comparative biology.</p>
Landscape and habitat data for Tetramorium ant species from Cordonnier et al. 2019 Landscape Ecology
<p>This README accompanies the file "data_Cordonnier_LandEcol.txt"</p> <p>Associated publication : </p> <p>Multi-scale impacts of urbanization on species distribution within the genus <br> <em>Tetramorium </em>- Landscape Ecology<br> M. Cordonnier, C. Gibert, A. Bellec, B. Kaufmann, G. Escarguel</p> <p> <br> ********************************** CONTENTS ***********************************<br> The data are in table form with TABs as variables field delimiters so they can <br> be readily imported in any statistical package or spreadsheet program. Please, <br> contact me if you need the file formatted otherwise. </p> <p>This file includes a description of the variables.</p> <p>The individuals described in this file were identified to species and analyzed for climate variables in</p> <p>Cordonnier, M., Bellec, A., Dumet, A., Escarguel, G., & Kaufmann, B. (2019). <br> Range limits in sympatric cryptic species: a case study in Tetramorium pavement <br> ants (Hymenoptera: Formicidae) across a biogeographical boundary. Insect <br> Conservation and Diversity, 12(2), 109-120.<br> </p> <p>*******************************************************************************<br> Variable names and descriptions</p> <p>ID Sample name<br> X Longitude in WGS 84 (World Geodetic System 1984) decimal degrees rounded to 5 decimal places<br> Y Latitude in WGS 84 (World Geodetic System 1984) decimal degrees rounded to 5 decimal places<br> SZ Name of the sampling area sensu Cordonnier et al. (2019)<br> SP Species identification based on mtDNA COI gene<br> PI10 Percentage of impervious surfaces within a 10 m buffer around the sample<br> PI30 Percentage of impervious surfaces within a 30 m buffer around the sample<br> PI500 Percentage of impervious surfaces within a 500 m buffer around the sample<br> MH1 Presence / absence of full soil with vegetation <br> MH2 Presence / absence of pavement <br> MH3 Presence / absence of unstabilized material (sand. gravel. compacted soil <br> with pebbles or small rocks) <br> MH4 Presence / absence of wood or root <br> MH5 Presence / absence of litter (woodchips or dead leaves) <br> MH6 Presence / absence of curb <br> MH7 Presence / absence of building <br> MH8 Presence / absence of feature (p.ex. lamp post. elec. pole. large rock) <br> MH9 Presence / absence of ditch or strong slope</p> <p>********************************* CONTACT **********************************<br> Please contact me at:</p> <p>Marion Cordonnier<br> e-mail: marion.cordonnier@hotmail.com</p> <p>*******************************************************************************<br> </p>
Inferring the mammal tree: Species-level sets of phylogenies for questions in ecology, evolution, and conservation
Open the record for dataset details and reuse information.
Relative percent cover of plant species for years 2012-2017 in the Arctic Long-term Ecological Research (ARC-LTER) 1989 moist acidic tundra (MAT89) experimental plots, Toolik Field Station, Alaska.
Relative percent cover of plant species was measured in ARC-LTER 1989 moist acidic tundra experimental plots. Treatments include Control (CT), Nitrogen Phosphorus (NP), Nitrogen (N), Phosphorus (P), and Greenhouse Control (GHCT). In 1996 on unassigned plots, an experiment that manipulate herbivory presence and nutrients was started. Treatments include Control Unfenced (NFCT), Nitrogen Phosphorus Unfenced (NFNP), and Small Fenced Control (CTSF). Not all treatments were measured each year.
Sevilleta Long Term Ecological Research Program Plant Species List
Sevilleta Long-Term Ecological Research Program has monitored plant species cover, height, abundance (counts), and biomass since 1999. This list represents the plant species found at the Sevilleta, including those species featured in long-term datasets on plant abundance and biomass. Species codes have been updated to the most recent taxonomic designations by the U.S. Department of Agriculture (plants.sc.egov.usda.gov), and are listed by their kartez codes, or character and number symbols.
FIG. 3. — Navicordulia pascali n in The genus Navicordulia Machado & Costa, 1995 (Insecta, Odonata, Corduliidae s.str.): new species, identification key for males and data on ecology and distribution
FIG. 3. — Navicordulia pascali n. sp., holotype: A, S10 and anal appendages in dorsal view; B, part of S9, S10 and anal appendages in left lateral view. Scale bars: 1 mm.
FIG. 1. — Navicordulia pascali n in The genus Navicordulia Machado & Costa, 1995 (Insecta, Odonata, Corduliidae s.str.): new species, identification key for males and data on ecology and distribution
FIG. 1. — Navicordulia pascali n. sp., holotype: A, general habitus; B, head in dorsal view and part of thorax in right lateral view.Scale bars: A, 10 mm; B, 1 mm.
FIG. 6 in The genus Navicordulia Machado & Costa, 1995 (Insecta, Odonata, Corduliidae s.str.): new species, identification key for males and data on ecology and distribution
FIG. 6. — "Savane-roche" in the Barruol Mounts, locus typicus of Navicordulia pascali n. sp. Photo by Stéphane Brûlé.
Figure 5. A in Identity of the ailanthus webworm moth (Lepidoptera, Yponomeutidae), a complex of two species: evidence from DNA barcoding, morphology and ecology
Figure 5. A Neotype of Deiopeia [= Atteva] aurea, specimen CNCLEP00031092 (CNC) B–C Barcoded specimens of A. aurea from Maryland collected 4 Aug and 31 Jul 2006 respectively (specimens CNCLEP00027030 and CNCLEP00026910, CNC) D Aberrant specimen of A. aurea from Maryland collected 4 Aug 2006 (specimen CNCLEP00027027, CNC)
Figure 3. A in Identity of the ailanthus webworm moth (Lepidoptera, Yponomeutidae), a complex of two species: evidence from DNA barcoding, morphology and ecology
Figure 3. A The original figure of Atteva punctella from Plate 372 in Stoll (1781). Th e illustration is 25 mm wide in the work B Phalaena Tinea punctella Stoll (= A. pustulella Fabricius), specimen USNCN- CLEP00056027 (USNM) C Atteva hysginiella, specimen CNCLEP00060122 (CNC) D A. zebra, specimen CNCLEP00056033 (USNM).
Figure 4. A in Identity of the ailanthus webworm moth (Lepidoptera, Yponomeutidae), a complex of two species: evidence from DNA barcoding, morphology and ecology
Figure 4. A Holotype of A. edithella, specimen USNMENT00656111 (USNM) B Holotype of A. exquisita from Coahuila, Mexico, specimen USNMENT00656112 (USNM) C Holotype of A. ergatica, specimen CNCLEP00060676 (BMNH); due to markedly drooped wings, two half-photos were joined to show both sides D Holotype of A. microsticta, specimen USNMENT00656110 (USNM).
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.