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647 results for “historical data”

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edi40/100

SGS-LTER Historical LTER Soil water - neutron probe: field data (1983-1992) in ungrazed ESA (Ecosystem Stress Area) on the Central Plains Experimental Range, Nunn, Colorado, USA, ARS Study Number 10

This data package was produced by researchers working on the Shortgrass Steppe Long Term Ecological Research (SGS-LTER) Project, administered at Colorado State University. Long-term datasets and background information (proposals, reports, photographs, etc.) on the SGS-LTER project are contained in a comprehensive project collection within the Digital Collections of Colorado (http://digitool.library.colostate.edu/R/?func=collections&collection_id=3429). The data table and associated metadata document, which is generated in Ecological Metadata Language, may be available through other repositories serving the ecological research community and represent components of the larger SGS-LTER project collection. Long-term (1985-1992) dynamics and spatial variations in soil water below the evaporative zone were evaluated for a shortgrass steppe with a low and variable precipitation regime. Each of sandy loam, clay loam, and two sandy clay loam sites compromised a toposequence with upland, midslope, and lowland positions. Soil water was monitored at 15cm intervals providing estimates covering 22.5 to 97.5 cm depths. Soil water throughout the profile was highest in the clay loam and lowest in the sandy loam. However, stored soil water did not vary systematically among slope positions. Additional information and referenced materials can be found: http://hdl.handle.net/10217/82912

openOpenJan 2020View details →
edi40/100

SGS-LTER Historical LTER Soil water - neutron probe: lysimeter field data (1983-1992) on the Central Plains Experimental Range, Nunn, Colorado, USA, ARS Study Number 10

This data package was produced by researchers working on the Shortgrass Steppe Long Term Ecological Research (SGS-LTER) Project, administered at Colorado State University. Long-term datasets and background information (proposals, reports, photographs, etc.) on the SGS-LTER project are contained in a comprehensive project collection within the Digital Collections of Colorado (http://digitool.library.colostate.edu/R/?func=collections&collection_id=3429). The data table and associated metadata document, which is generated in Ecological Metadata Language, may be available through other repositories serving the ecological research community and represent components of the larger SGS-LTER project collection. Long-term (1985-1992) dynamics and spatial variations in soil water below the evaporative zone were evaluated for a shortgrass steppe with a low and variable precipitation regime. Each of sandy loam, clay loam, and two sandy clay loam sites compromised a toposequence with upland, midslope, and lowland positions. Soil water was monitored at 15cm intervals providing estimates covering 22.5 to 97.5 cm depths. Soil water throughout the profile was highest in the clay loam and lowest in the sandy loam. However, stored soil water did not vary systematically among slope positions. Additional information and referenced materials can be found: http://hdl.handle.net/10217/82912

openOpenJan 2020View details →
edi40/100

SGS-LTER Historical LTER Soil water - neutron probe: field data (1985-1992) in Owl Creek on the Central Plains Experimental Range, Nunn, Colorado, USA, ARS Study Number 10

This data package was produced by researchers working on the Shortgrass Steppe Long Term Ecological Research (SGS-LTER) Project, administered at Colorado State University. Long-term datasets and background information (proposals, reports, photographs, etc.) on the SGS-LTER project are contained in a comprehensive project collection within the Digital Collections of Colorado (http://digitool.library.colostate.edu/R/?func=collections&collection_id=3429). The data table and associated metadata document, which is generated in Ecological Metadata Language, may be available through other repositories serving the ecological research community and represent components of the larger SGS-LTER project collection. Long-term (1985-1992) dynamics and spatial variations in soil water below the evaporative zone were evaluated for a shortgrass steppe with a low and variable precipitation regime. Each of sandy loam, clay loam, and two sandy clay loam sites compromised a toposequence with upland, midslope, and lowland positions. Soil water was monitored at 15cm intervals providing estimates covering 22.5 to 97.5 cm depths. Soil water throughout the profile was highest in the clay loam and lowest in the sandy loam. However, stored soil water did not vary systematically among slope positions. Additional information and referenced materials can be found: http://hdl.handle.net/10217/82912

openOpenJan 2020View details →
edi40/100

SGS-LTER Historical LTER Soil water - neutron probe: field data (1984-1992) in Section 15, Sandy on the Central Plains Experimental Range, Nunn, Colorado, USA, ARS Study Number 10

This data package was produced by researchers working on the Shortgrass Steppe Long Term Ecological Research (SGS-LTER) Project, administered at Colorado State University. Long-term datasets and background information (proposals, reports, photographs, etc.) on the SGS-LTER project are contained in a comprehensive project collection within the Digital Collections of Colorado (http://digitool.library.colostate.edu/R/?func=collections&collection_id=3429). The data table and associated metadata document, which is generated in Ecological Metadata Language, may be available through other repositories serving the ecological research community and represent components of the larger SGS-LTER project collection. Long-term (1985-1992) dynamics and spatial variations in soil water below the evaporative zone were evaluated for a shortgrass steppe with a low and variable precipitation regime. Each of sandy loam, clay loam, and two sandy clay loam sites compromised a toposequence with upland, midslope, and lowland positions. Soil water was monitored at 15cm intervals providing estimates covering 22.5 to 97.5 cm depths. Soil water throughout the profile was highest in the clay loam and lowest in the sandy loam. However, stored soil water did not vary systematically among slope positions. Additional information and referenced materials can be found: http://hdl.handle.net/10217/82912

openOpenJan 2020View details →
edi40/100

SGS-LTER Historical LTER Soil water - neutron probe: field data (1984-1992) in Section 25, Shale on the Central Plains Experimental Range, Nunn, Colorado, USA, ARS Study Number 10

This data package was produced by researchers working on the Shortgrass Steppe Long Term Ecological Research (SGS-LTER) Project, administered at Colorado State University. Long-term datasets and background information (proposals, reports, photographs, etc.) on the SGS-LTER project are contained in a comprehensive project collection within the Digital Collections of Colorado (http://digitool.library.colostate.edu/R/?func=collections&collection_id=3429). The data table and associated metadata document, which is generated in Ecological Metadata Language, may be available through other repositories serving the ecological research community and represent components of the larger SGS-LTER project collection. Long-term (1985-1992) dynamics and spatial variations in soil water below the evaporative zone were evaluated for a shortgrass steppe with a low and variable precipitation regime. Each of sandy loam, clay loam, and two sandy clay loam sites compromised a toposequence with upland, midslope, and lowland positions. Soil water was monitored at 15cm intervals providing estimates covering 22.5 to 97.5 cm depths. Soil water throughout the profile was highest in the clay loam and lowest in the sandy loam. However, stored soil water did not vary systematically among slope positions. Additional information and referenced materials can be found: http://hdl.handle.net/10217/82912

openOpenJan 2020View details →
edi40/100

SGS-LTER Historical LTER Soil water - neutron probe: field data (1983-1992) across topography on the Central Plains Experimental Range, Nunn, Colorado, USA, ARS Study Number 10

This data package was produced by researchers working on the Shortgrass Steppe Long Term Ecological Research (SGS-LTER) Project, administered at Colorado State University. Long-term datasets and background information (proposals, reports, photographs, etc.) on the SGS-LTER project are contained in a comprehensive project collection within the Digital Collections of Colorado (http://digitool.library.colostate.edu/R/?func=collections&collection_id=3429). The data table and associated metadata document, which is generated in Ecological Metadata Language, may be available through other repositories serving the ecological research community and represent components of the larger SGS-LTER project collection. Long-term (1985-1992) dynamics and spatial variations in soil water below the evaporative zone were evaluated for a shortgrass steppe with a low and variable precipitation regime. Each of sandy loam, clay loam, and two sandy clay loam sites compromised a toposequence with upland, midslope, and lowland positions. Soil water was monitored at 15cm intervals providing estimates covering 22.5 to 97.5 cm depths. Soil water throughout the profile was highest in the clay loam and lowest in the sandy loam. However, stored soil water did not vary systematically among slope positions. Additional information and referenced materials can be found: http://hdl.handle.net/10217/82912

openOpenJan 2020View details →
dryad36/100

Data from: Historical demography and climate driven distributional changes in a widespread Neotropical freshwater species with high economic importance

The Neotropical region exhibits the greatest worldwide diversity and the diversification history of several clades is related to the puzzling geomorphologic and climatic history of this region. The freshwater Amazon ecoregion contains the main hydrographic basins of the Neotropical region that are highly dendritic and ecologically diverse. It contains a rich and endemic fish fauna, including one of its most iconic and economically important representatives, the bony-tongue Arapaima gigas (Teleostei, Osteoglossiformes). Here, we evaluated the projected distribution of the genus in different historical periods (Present, Last Glacial Maximum, Last Interglacial Maximum and Near Future) and interpreted these results in light of the genomic diversity and modeled historical demography. For that, we combined species distribution models, population genetic analysis using SNPs and deep learning model selection. We analyzed a representative sample of the genus from the two basins where it naturally occurs, four localities in the Amazon (Am) and three in the Tocantins-Araguaia (To-Ar) basin, as well as individuals from three fish farms. We inferred a potentially smaller distribution in the glacial period, with a possible refuge in central Am. Our genetic data agrees with this result, suggesting a higher level of genetic diversity in the Am basin, compared to that observed in To-Ar. Our deep learning model comparison indicated that the To-Ar basin was colonized by the population from the Am basin. Considering a global warming scenario in the near future, A. gigas could reach an even larger range, especially if anthropogenic related dispersal occurs, potentially invading new areas and impacting their communities.

opencc-zeroJun 2020View details →
zenodo36/100

Historical data of heroes and players of Dota 2

<p>This dataset contains historical data of heroes and players of Dota 2 and features to be used in win prediction models. More specifically, it includes:</p> <ul> <li>Changelog for all existing heroes of Dota 2</li> <li>Historical attribute values for all existing&nbsp;heroes of Dota 2 <ul> <li>Base strength</li> <li>Base agility</li> <li>Base intelligence</li> <li>Strength gain</li> <li>Agility gain</li> <li>Intelligence gain</li> <li>Base health</li> <li>Base health regeneration</li> <li>Movement speed</li> </ul> </li> <li>Historical statistics of heroes and players of Dota 2</li> <li>Historical statistics of heroes and players of Dota 2 organized by date</li> <li>Computed features useful&nbsp;for win prediction models</li> </ul>

opencc-by-4.0Jun 2020View details →
zenodo36/100

Geopackage of data for Historical Archaeology and JOAD article

<p>This file is a Geopackage database that includes the following:</p> <p>For raster files, *Raw* indicates that data is the same as the previously archived version and &quot;Rendered&quot; indicates the visualization of that data.&nbsp;</p> <p>&quot;DigitalElevationModelRaw&quot; and &quot;DigitalElevationModelRendered&quot; are based upon&nbsp;Digital Elevation Model for Blue Mountain Charcoal Research Project.&nbsp;<a href="https://zenodo.org/record/1252441">https://zenodo.org/record/1252441</a></p> <p>&quot;HillshadeRaw&quot; and &quot;HillshadeRendered&quot; are based upon Hillshade Analysis of &quot;Digital Elevation Model for Blue Mountain Charcoal Research Project&quot;.&nbsp;<a href="https://zenodo.org/record/1252520">https://zenodo.org/record/1252520</a></p> <p>&quot;SlopeRaw&quot; and &quot;SlopeRendered&quot; are based upon Slope Analysis of &quot;Digital Elevation Model for Blue Mountain Charcoal Research Project&quot;.&nbsp;<a href="https://zenodo.org/record/1252977">https://zenodo.org/record/1252977</a></p> <p>&quot;Hearths&quot; = Identified Charcoal Hearths from &quot;Slope Analysis of &#39;Digital Elevation Model for Blue Mountain Charcoal Research Project&#39;&quot;.&nbsp;<a href="https://zenodo.org/record/1252985">https://zenodo.org/record/1252985</a></p> <p>&quot;ResearchArea&quot; = Blue Mountain Charcoal Project Research Area.&nbsp;<a href="https://zenodo.org/record/1252418">https://zenodo.org/record/1252418</a></p> <p>The collection of this data is described here:</p> <p>Description of Methods for Identifying Charcoal Hearths along the Blue Mountain of Pennsylvania.&nbsp;<a href="https://zenodo.org/record/1255101">https://zenodo.org/record/1255101</a></p> <p>And is published here:</p> <p>Carter, Benjamin P. 2019. &ldquo;Identifying Landscape Modification Using Open Data and Tools: The Charcoal Hearths of the Blue Mountain, Pennsylvania.&rdquo; <em>Historical Archaeology</em> 53 (2): 432&ndash;43. <a href="https://doi.org/10.1007/s41636-019-00171-1">https://doi.org/10.1007/s41636-019-00171-1</a>.</p> <p>Carter, Benjamin. 2019. &ldquo;Data for &lsquo;Identifying Landscape Modification Using Open Data and Tools: The Charcoal Hearths of the Blue Mountain, Pennsylvania.&rsquo;&rdquo; <em>Journal of Open Archaeology Data</em> 7 (July). <a href="https://doi.org/10.5334/joad.53">https://doi.org/10.5334/joad.53</a>.</p> <p>This data can be visualized here: NEEDED</p>

opencc-by-4.0Jun 2020View details →
dryad36/100

Data from : Historical legacies and ecological determinants of grass naturalizations worldwide

<p>The global distribution of exotic species is the result of abiotic, biotic and dispersal<br> filtering processes that shape the movement and success of species outside their native<br> range. In this study we aim to understand how these filtering processes drive the fluxes<br> of grass species among regions, the factors that influence which species establish outside<br> of their native range, and where they do so.</p> <p><br> We used national and subnational checklists of native and introduced grass species<br> to determine the extent to which each region was a source or recipient of exotic grass<br> species. We asked how species traits may distinguish those grass species that have naturalized<br> outside their native range from those that have not, and how environmental<br> conditions are related to the distribution of exotic grass species.</p> <p><br> We found that exotic grass establishment is shaped by an array of factors including<br> characteristics of regions, traits of species and their interactions. Regions with a longer<br> history of human occupation and larger numbers of native grass species were generally<br> the most important sources of exotic species. Global flows of species were mostly<br> driven by a climate match between the native and exotic ranges, but were also highly<br> asymmetric, with regions with recent human arrival being the major hosts of exotic<br> grass species. Tall, annual and C4 grass species exhibited particularly high probabilities<br> of establishment outside their native range.</p> <p><br> Despite the idiosyncrasy and stochasticity characteristic of exotic species establishment,<br> this biogeographical analysis revealed important generalities across this large<br> plant group. Our results suggest that grass species that have co-occurred with humans<br> for a longer time may be better adapted to living in anthropogenic landscapes, explaining<br> the global asymmetry in species introductions.</p>

opencc-zeroJul 2020View details →
dryad36/100

Data from: One panel to rule them all: DArTcap genotyping for population structure, historical demography, and kinship analyses, and its application to a threatened shark

With recent advances in sequencing technology, genomic data are changing how important conservation management decisions are made. Applications such as Close-Kin Mark-Recapture demand large amounts of data to estimate population size and structure, and their full potential can only be realised through ongoing improvements in genotyping strategies. Here we introduce DArTcap, a cost-efficient method that combines DArTseq and sequence capture, and illustrate its use in a high resolution population analysis of Glyphis garricki, a rare, poorly known and threatened euryhaline shark. Clustering analyses and spatial distribution of kin pairs from four different regions across northern Australia and one in Papua New Guinea, representing its entire known range, revealed that each region hosts at least one distinct population. Further structuring is likely within Van Diemen Gulf, the region that included the most rivers sampled, suggesting additional population structuring would be found if other rivers were sampled. Coalescent analyses and spatially explicit modelling suggest that G. garricki experienced a recent range expansion during the opening of the Gulf of Carpentaria following the conclusion of the Last Glacial Maximum. The low migration rates between neighbouring populations of a species that is found only in restricted coastal and riverine habitats show the importance of managing each population separately, including careful monitoring of local and remote anthropogenic activities that may affect their environments. Overall we demonstrated how a carefully chosen SNP panel combined with DArTcap can provide highly accurate kinship inference and also support population structure and historical demography analyses, therefore maximising cost-effectiveness.

opencc-zeroJun 2020View details →
zenodo36/100

Data for: Historical earthquake scenarios for the middle strand of the North Anatolian Fault deduced from archeo-damage inventory and building deformation modeling

<p>This dataset is associated to the article &quot;Historical earthquake scenarios for the middle strand of the North Anatolian Fault deduced from archeo-damage inventory and building deformation modeling &quot; published in Seismological Research Letters (<a href="https://pubs.geoscienceworld.org/ssa/srl/article-abstract/doi/10.1785/0220200278/592607/Historical-Earthquake-Scenarios-for-the-Middle?">link</a>).</p> <p>It includes the following:</p> <ul> <li>The annotated photographs of the EAE (Earthquake Archeological Effects) inventoried in Iznik (&quot;EAE_xxx.pdf&quot;).</li> <li>The 3D displacement signals used as input for obelisk modeling (&quot;Displacement_xxx&quot;).</li> <li>The output obelisk displacement curves and final block shift values relative to base (&quot;Obelisk_block_motion.pdf&quot;).</li> </ul>

opencc-by-4.0Jul 2020View details →
zenodo36/100

Data belonging to paper 'Detecting Faces, Medium Types, Gender in Historical Advertisments'

<p>This dataset contains annotations, intermediate data, and outputted models for the VISART paper <em>&#39;Detecting Faces, Medium Types, Gender in Historical Advertisments</em>.&#39;</p> <p>&nbsp;</p> <p>See the <a href="https://github.com/melvinwevers/detecting_faces-medium-types-gender">repo</a> on GitHub for info on how to use this data.</p>

opencc-by-4.0Aug 2020View details →
dryad36/100

Data from: Historical demography of four gecko species specializing in boulder cave habitat – its implications in the evolutionary dead end hypothesis and conservation

Specialization in narrow ecological niches might not only help species to survive in competitive or unique environments but also contribute to their extermination over evolutionary time. Although the "evolutionary dead end" hypothesis has long been debated, empirical evidence from species with detailed information on niche specialization and evolutionary history is still rare. Here we used a group of four closely related Cnemaspis gecko species that highly depend on granite boulder caves in the Mekong Delta to illuminate the potential impact of ecological specialization on their evolution and population dynamics. Isolated by the unsuitable habitat of a flood plain, these boulder-dwelling geckos are among the most narrowly distributed Squamata species in the world. We applied several coalescence-based approaches combined with the RAD-seq technique to estimate their divergence times, gene flow and demographic fluctuations during the speciation and population differentiation processes. Our results showed long-term population shrinkage in the four geckos and limited gene flow during their divergence. The results suggest that the erosion and fragmentation of the granite boulder hills have had great impacts on these populations' divergences and population declines. We argue that the specialist gecko's habitat specialization has facilitated the fine-scaled speciation in these granite rocky hills; in contrast, specialization might also have pushed these species toward the edge of extinction. Our study also emphasizes the conservation urgency of these vulnerable, cave-dependent geckos.

opencc-zeroOct 2020View details →
dryad36/100

Data from: Isolation by instability: historical climate change shapes population structure and genomic divergence of treefrogs in the Neotropical Cerrado savanna

Although the impact of Pleistocene glacial cycles on the diversification of the tropical biota was once dismissed, increasing evidence suggests that Pleistocene climatic fluctuations greatly affected the distribution and population divergence of tropical organisms. Landscape genomic analyses coupled with paleoclimatic distribution models provide a powerful way to understand the consequences of past climate changes on the present-day tropical biota. Using genome-wide SNP data and mitochondrial DNA, combined with projections of the species distribution across the late Quaternary until the present, we evaluate the effect of paleoclimatic shifts on the genetic structure and population differentiation of Hypsiboas lundii, a treefrog endemic to the South American Cerrado savanna. Our results show a recent and strong genetic divergence in H. lundii across the Cerrado landscape, yielding four genetic clusters that do not seem congruent with any current physical barrier to gene flow. Isolation by distance (IBD) explains some of the population differentiation, but we also find strong support for past climate changes promoting range shifts and structuring populations even in the presence of IBD. Post Pleistocene population persistence in four main areas of historical stable climate in the Cerrado seems to have played a major role establishing the present genetic structure of this treefrog. This pattern is consistent with a model of reduced gene-flow in areas with high climatic instability promoting isolation of populations, defined here as "isolation by instability", highlighting the effects of Pleistocene climatic fluctuations structuring populations in tropical savannas.

opencc-zeroDec 2018View details →
dryad36/100

Data from: Genomic signatures of sympatric speciation with historical and contemporary gene flow in a tropical anthozoan (Hexacorallia: Actiniaria)

Sympatric diversification is increasingly thought to have played an important role in the evolution of biodiversity around the globe. However, an in situ sympatric origin for co-distributed taxa is difficult to demonstrate empirically because different evolutionary processes can lead to similar biogeographic outcomes- especially in ecosystems that can readily facilitate secondary contact due to a lack of hard barriers to dispersal. Here we use a genomic (ddRADseq), model-based approach to delimit a species complex of tropical sea anemones that are co-distributed on coral reefs throughout the Tropical Western Atlantic. We use coalescent simulations in fastsimcoal2 to test competing diversification scenarios that span the allopatric-sympatric continuum. We recover support that the corkscrew sea anemone Bartholomea annulata (Le Sueur, 1817) is a cryptic species complex, co-distributed throughout its range. Simulation and model selection analyses suggest these lineages arose in the face of historical and contemporary gene flow, supporting a sympatric origin, but an alternative secondary contact model also receives appreciable model support. Leveraging the genome of Exaiptasia diaphana we identify five loci under divergent selection between cryptic B. annulata lineages that fall within mRNA transcripts or CDS regions. Our study provides a rare empirical, genomic example of sympatric speciation in a tropical anthozoan. Finally, these data represent the first range-wide molecular study of any tropical sea anemone, underscoring that anemone diversity is under described in the tropics, and highlighting the need for additional systematic studies into these ecologically and economically important species.

opencc-zeroDec 2018View details →
dryad36/100

Data from: Hare pseudo-reference genome from: the genomic impact of historical hybridization with massive mitochondrial DNA introgression

<p><b>Background:</b> The extent to which selection determines interspecific patterns of genetic exchanges enlightens the role of adaptation in evolution and speciation. Often reported extensive interspecific introgression could be selection-driven, but also result from demographic processes, especially in cases of invasive species replacements, which can promote introgression at their front. Because invasion and selective sweeps similarly mold variation, population genetics evidence for selection can only be gathered in an explicit demographic framework. The Iberian hare, <i>Lepus granatensis</i>, displays in its northern range extensive mitochondrial DNA introgression from <i>L. timidus</i>, an arctic/boreal species that it replaced locally after the last glacial maximum. We use whole-genome sequencing to infer geographic and genomic patterns of nuclear introgression and fit a neutral model of species replacement with hybridization, allowing us to evaluate how selection influenced introgression genome-wide, including for mtDNA.</p> <p><b>Results:</b> Although the average nuclear and mtDNA introgression patterns are strongly contrasted, they fit a single neutral model of post-glacial invasive replacement of <i>timidus</i> by <i>granatensis</i>. Outliers of elevated introgression include several genes related to immunity, spermatogenesis, and mitochondrial metabolism. Introgression is reduced on the X-chromosome and in low recombining regions.</p> <p><b>Conclusion:</b> General nuclear and mtDNA patterns of introgression can be explained by purely demographic processes. Hybrid incompatibilities and interplay between selection and recombination locally modulate levels of nuclear introgression. Selection promoted introgression of some genes involved in conflicts, either interspecific (parasites) or possibly cytonuclear. In the latter case, nuclear introgression could mitigate the potential negative effects of alien mtDNA on mitochondrial metabolism and male-specific traits.</p>

opencc-zeroOct 2019View details →
dryad36/100

Data from: Increased habitat connectivity homogenizes freshwater communities: historical and landscape perspectives

1. Increases in habitat connectivity can have consequences for taxonomic, functional, and genetic diversity of communities. Previously isolated aquatic habitats were connected with canals and pipelines in the largest water development project in US history, the Columbia Basin Project (eastern Washington, USA), which also altered environmental conditions; however, the ecological consequences are largely unknown. 2. Using a historical dataset, we examined long-term patterns in zooplankton communities, water chemistry and clarity, testing the hypothesis that increased connectivity will result in taxonomic homogenization. Further, we tested contemporary drivers of communities using a comprehensive set of environmental and landscape variables. 3. Waterbodies were sampled for zooplankton community composition as well as physical and chemical variables inside and outside the Columbia Basin Project using methods consistent with historical studies. 4. We found significant declines in salinity inside the Columbia Basin Project, whereas changes in water clarity were prevalent across all waterbodies. Increased connectivity via canals homogenized zooplankton communities over time, as well as increasing regional richness. Other long-term changes in zooplankton communities may be related to climate change, invasive species, and land-use changes. 5. Synthesis and applications. Though canals may offer species spatial refugia, homogenization may decrease resilience to environmental stressors. These new hybrid aquatic landscapes, or hydroscapes, should be considered carefully in future water development, including specific plans for monitoring of species and environmental conditions, as well as mitigation of undesirable conditions and/or non-native species.

opencc-zeroDec 2016View details →
dryad36/100

Data from: A framework for simultaneous tests of abiotic, biotic, and historical drivers of species distributions: empirical tests for North American wood warblers based on climate and pollen

Understanding how abiotic, biotic and historical factors shape species distributions remains a central question in ecology, but studies linking biotic factors to continental-scale patterns remain scarce. Here, we present a novel framework for simultaneously testing patterns expected when abiotic, biotic or historical factors drive species range limits. We use ecological niche models to produce empirical estimates of the "Biotic, Abiotic, and Movement" paradigm (BAM diagrams), which previously had only been used theoretically. Based on climatic and pollen data, as well as explicit consideration of dispersal limitations, we implement the framework for a group of North American birds (Oreothlypis warblers) with clear habitat associations. Because the pollen-based predictor variables characterize vegetation, they represent biotic factors needed by each bird species. Although continental-scale patterns of distribution traditionally are attributed to abiotic factors, only one species matched the hypothesis of solely abiotic drivers. In contrast, pollen-based models indicate biotic drivers for two species, correctly predicting their absence in climatically suitable areas. These results highlight the feasibility of considering and quantifying potential effects of biotic interactions on species ranges, especial when interactions can be decoupled from abiotic factors. Furthermore, the availability of pollen data now and in the Holocene highlights the potential of these data to be used to predict range shifts of other organisms tightly dependent on particular vegetation types.

opencc-zeroDec 2017View details →
dryad36/100

Data from: Herbarium specimens reveal a historical shift in phylogeographic structure of common ragweed during native range disturbance

Invasive plants provide ample opportunity to study evolutionary shifts that occur after introduction to novel environments. However, although genetic characters pre-dating introduction can be important determinants of later success, large-scale investigations of historical genetic structure have not been feasible. Common ragweed (Ambrosia artemisiifolia L.) is an invasive weed native to North America that is known for its allergenic pollen. Palynological records from sediment cores indicate that this species was uncommon before European colonization of North America, and ragweed populations expanded rapidly as settlers deforested the landscape on a massive scale, later becoming an aggressive invasive with populations established globally. Toward a direct comparison of genetic structure now and during intense anthropogenic disturbance of the late 19th century, we sampled 45 natural populations of common ragweed across its native range as well as historical herbarium specimens collected up to 140 years ago. Bayesian clustering analyses of 453 modern and 473 historical samples genotyped at three chloroplast spacer regions and six nuclear microsatellite loci reveal that historical ragweed's spatial-genetic structure mirrors both the paleo-record of Ambrosia pollen deposition and the historical pattern of agricultural density across the landscape. Furthermore, for unknown reasons this spatial-genetic pattern has changed substantially in the intervening years. Following on previous work relating morphology and and genetic expression between plants collected from eastern North America and Western Europe, we speculate that the cluster associated with humans' rapid transformation of the landscape is a likely source of these aggressive invasive populations.

opencc-zeroDec 2013View details →

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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.

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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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record