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403 results for “Occurrence Data”
Supplementary material 2 from: Schneider AS, Knüsel M, Altermatt F (2023) Assessment of occurrence, diversity, and biomass of macroinvertebrates in Swiss groundwater systems using citizen science data. Subterranean Biology 46: 147-164. https://doi.org/10.3897/subtbiol.46.112569
Detailed procedure for macroinvertebrate bio-area measurements
Supplementary material 3 from: Schneider AS, Knüsel M, Altermatt F (2023) Assessment of occurrence, diversity, and biomass of macroinvertebrates in Swiss groundwater systems using citizen science data. Subterranean Biology 46: 147-164. https://doi.org/10.3897/subtbiol.46.112569
Supplementary results
Supplementary material 1 from: Schneider AS, Knüsel M, Altermatt F (2023) Assessment of occurrence, diversity, and biomass of macroinvertebrates in Swiss groundwater systems using citizen science data. Subterranean Biology 46: 147-164. https://doi.org/10.3897/subtbiol.46.112569
Bio-area and biomass relationship
Occurrence data for different plant groups in southern Africa (from GBIF)
Open the record for dataset details and reuse information.
Fig. 5 in New data on the occurrence of terrestrial true bugs (Hemiptera: Heteroptera) in Pieniny Mountains
Fig. 5. Berytinus signoreti. Photo by A. Taszakowski.
Data from: The relationship between native species richness and exotic species richness or occurrence will always be negative when the total number of species is accounted for in statistical models: A response to Beaury et al.
Beaury et al. (2020) attempt to address the scale dependence of evidence for biotic resistance by including environmental covariates that can account for total species richness. However, this approach will incorrectly estimate relationships, driven by the accuracy of the covariates rather than the true relationship between native and non-native species.
Figure 2 from: Guillaumot C, Martin A, Fabri-Ruiz S, Eléaume M, Saucède T (2016) Echinoids of the Kerguelen Plateau – occurrence data and environmental setting for past, present, and future species distribution modelling. ZooKeys 630: 1-17. https://doi.org/10.3897/zookeys.630.9856
Figure 2 - Distribution of the 12 echinoid species based on the specimens collected since 1872 on the Kerguelen Plateau.
Figure 1 from: Guillaumot C, Martin A, Fabri-Ruiz S, Eléaume M, Saucède T (2016) Echinoids of the Kerguelen Plateau – occurrence data and environmental setting for past, present, and future species distribution modelling. ZooKeys 630: 1-17. https://doi.org/10.3897/zookeys.630.9856
Figure 1 - Sampling effort. Red dots depict echinoid occurrences. Black squares correspond to visited sites at which no echinoid was sampled.
Occurrence data for 18 tree species used in a common garden experiment
<p>Occurance data for 18 tropical rainforest tree species from across their home range downloaded from gbif, processed and used in the determination of ecoclimatic niche maps as part of work examinnig variation in growth and survival when grown under contrasting common garden sites</p>
Linked collectors and determiners for: NatureServe Network Species Occurrence Data.
Natural history specimen data linked to collectors and determiners held within, "NatureServe Network Species Occurrence Data". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/7fd12114-9010-4c13-8f46-990fe04ca882">https://bionomia.net/dataset/7fd12114-9010-4c13-8f46-990fe04ca882</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/7fd12114-9010-4c13-8f46-990fe04ca882">https://gbif.org/dataset/7fd12114-9010-4c13-8f46-990fe04ca882</a>. Formatted as a Frictionless Data package.
Linked collectors and determiners for: Occurrence data of Plyomydas (Diptera: Asiloidea: Mydidae).
Natural history specimen data linked to collectors and determiners held within, "Occurrence data of Plyomydas (Diptera: Asiloidea: Mydidae)". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/7f2de377-9f9f-4276-b0b8-5c792b499223">https://bionomia.net/dataset/7f2de377-9f9f-4276-b0b8-5c792b499223</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/7f2de377-9f9f-4276-b0b8-5c792b499223">https://gbif.org/dataset/7f2de377-9f9f-4276-b0b8-5c792b499223</a>. Formatted as a Frictionless Data package.
Linked collectors and determiners for: Occurrence data of Laphyctis (Diptera: Asiloidea: Asilidae).
Natural history specimen data linked to collectors and determiners held within, "Occurrence data of Laphyctis (Diptera: Asiloidea: Asilidae)". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/6f6da8ae-e270-49e0-b0b4-5ea7c968f9da">https://bionomia.net/dataset/6f6da8ae-e270-49e0-b0b4-5ea7c968f9da</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/6f6da8ae-e270-49e0-b0b4-5ea7c968f9da">https://gbif.org/dataset/6f6da8ae-e270-49e0-b0b4-5ea7c968f9da</a>. Formatted as a Frictionless Data package.
Linked collectors and determiners for: Occurrence data of Ectyphus and Parectyphus (Diptera: Asiloidea: Mydidae).
Natural history specimen data linked to collectors and determiners held within, "Occurrence data of Ectyphus and Parectyphus (Diptera: Asiloidea: Mydidae)". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/030340f4-caa1-4337-a18b-a8d52a3fddfc">https://bionomia.net/dataset/030340f4-caa1-4337-a18b-a8d52a3fddfc</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/030340f4-caa1-4337-a18b-a8d52a3fddfc">https://gbif.org/dataset/030340f4-caa1-4337-a18b-a8d52a3fddfc</a>. Formatted as a Frictionless Data package.
Linked collectors and determiners for: Taxonomy notes and new occurrence data of four species of atyid shrimp (Crustacea: Decapoda: Atyidae) in Vietnam, all described from China.
Natural history specimen data linked to collectors and determiners held within, "Taxonomy notes and new occurrence data of four species of atyid shrimp (Crustacea: Decapoda: Atyidae) in Vietnam, all described from China". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/249ee8b0-183e-418e-8db5-ded1afc3a90b">https://bionomia.net/dataset/249ee8b0-183e-418e-8db5-ded1afc3a90b</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/249ee8b0-183e-418e-8db5-ded1afc3a90b">https://gbif.org/dataset/249ee8b0-183e-418e-8db5-ded1afc3a90b</a>. Formatted as a Frictionless Data package.
North American Syrphidae Occurrence Data Filtered from GBIF
<p>This is a filtered dataset from GBIF including all Syrphidae observations identified to the species level in the North American range. Data was downloaded using rgbif::occ_download and accessed from R via rgbif (https://github.com/ropensci/rgbif) on 2024-11-10. The original unfiltered GBIF occurrences can be download at https://doi.org/10.15468/dl.p97dt2, and https://api.gbif.org/v1/occurrence/download/request/0005496-241107131044228.zip. The data is filtered to have coordinates in North America, no geospatial issues, no duplicates across species and coordinates, no coordinate uncertainty greater than 1 kilometer, and no occurrences lying within 1km of a college or university. This dataset is incomplete as it does not include ALL observations that occur in North American countries as observations lacking a continent field of "north_america" in GBIF are not included. The data was uploaded to Zenodo after filtering with the following DOI: 10.5281/zenodo.14062632.</p>
North American Noctuidae Occurrence Data Filtered from GBIF
<p>This is a filtered dataset from GBIF including all Noctuidae observations identified to the species level in the North American range. Data was downloaded using rgbif::occ_download and accessed from R via rgbif (https://github.com/ropensci/rgbif) on 2024-11-10. The original unfiltered GBIF occurrences can be download at https://doi.org/10.15468/dl.venjgg, and https://api.gbif.org/v1/occurrence/download/request/0005491-241107131044228.zip. The data is filtered to have coordinates in North America, no geospatial issues, no duplicates across species and coordinates, no coordinate uncertainty greater than 1 kilometer, and no occurrences lying within 1km of a college or university. This dataset is incomplete as it does not include ALL observations that occur in North American countries as observations lacking a continent field of "north_america" in GBIF are not included. The data was uploaded to Zenodo after filtering with the following DOI: 10.5281/zenodo.14062536. <br> </p>
Data from: An automated approach to identifying search terms for systematic reviews using keyword co-occurrence networks
1. Systematic review, meta-analysis, and other forms of evidence synthesis are critical to strengthen the evidence base concerning conservation issues and to answer ecological and evolutionary questions. Synthesis lags behind the pace of scientific publishing, however, due to time and resource costs which partial automation of evidence synthesis tasks could reduce. Additionally, current methods of retrieving evidence for synthesis are susceptible to bias towards studies with which researchers are familiar. In fields that lack standardized terminology encoded in an ontology, including ecology and evolution, research teams can unintentionally exclude articles from the review by omitting synonymous phrases in their search terms. 2. To combat these problems, we developed a quick, objective, reproducible method for generating search strategies that uses text mining and keyword co-occurrence networks to identify the most important terms for a review. The method reduces bias in search strategy development because it does not rely on a predetermined set of articles and can improve search recall by identifying synonymous terms that research teams might otherwise omit. 3. When tested against the search strategies used in published environmental systematic reviews, our method performs as well as the published searches and retrieves gold-standard hits that replicated versions of the original searches do not. Because the method is quasi-automated, the amount of time required to develop a search strategy, conduct searches, and assemble results is reduced from approximately 17-34 hours to under 2 hours. 4. To facilitate use of the method for environmental evidence synthesis, we implemented the method in the R package litsearchr, which also contains a suite of functions to improve efficiency of systematic reviews by automatically deduplicating and assembling results from separate databases.
Data from: Global induced stress field from large earthquakes since 1900 and chained earthquake occurrence
<p>Great earthquakes produce significant damages over large areas. The timely identification of impending earthquakes is crucial for seismic hazard mitigation. We assess the stress induced from neighboring earthquakes for 120 years around the circum-Pacific plate boundaries. Large earthquakes perturbed the stress fields. We analyze 1,636 earthquakes with moment magnitudes greater than or equal to 6.4 in 1900-2020. The cumulative Coulomb stress changes reach up to the order of tens to hundreds of bar at the plate boundaries. Large earthquakes followed in the regions with large lateral gradients of cumulative Coulomb stress changes induced by precedent earthquakes. Laterally heterogeneous stress fields may play an important role in nucleation of great earthquakes.</p>
Environmental drivers of plant distributions at global and regional scales: occurrence data with associated environmental variables of plant families/genera/species
<p>How environmental factors drive plant distribution across globe is one of the most fundamental questions in ecology. Plant distributions may be shaped by various environmental factors, such as climate, topography and edaphic factors. Nevertheless, it is not clear about the relative importance of different environmental factors in driving plant distribution across spatial scales and among plant groups. This study aimed to disentangle how plant–environment relationships vary with latitude and among plant taxa including angiosperms, gymnosperms, pteridophytes and bryophytes.</p> <p><b><span>Location</span></b>: Global</p> <p><b><span>Main taxa</span></b>: Plants</p> <p><b><span>Results</span></b>: Our analyses revealed the primacy of climatic variability (temperature seasonality and isothermality) on plant distribution at the global scale. The relative contribution of temperature seasonality and isothermality peaked in tropical areas, whereas solar radiation and annual mean temperature had stronger influence at high-latitude areas. We also found wide-range plant groups tend to occur at area with higher temperature variability (isothermality and temperature seasonality) and flatter terrain (low slope). Climate extremes (low temperature and low solar radiation) determined plant distribution range and limits across latitude. Soil and topography had diverse thought less important effects (related to climate) on broad-scale plant distribution patterns.</p> <p><b><span>Main Conclusions</span></b>: Our study highlights the significance of climate variability for global plant distributions and climate extremes at higher latitude areas. Environmental effects of plant distributions vary across latitude. The findings imply that our understandings on environmental factors affecting plant distributions rely on the geographical scales that we focus on, suggesting that different geographcial and local ecological processes should be integrated to explain multi-scale distribution patterns.</p>
Data from: Separation of realized ecological niche axes among sympatric tilefishes provides insight into potential drivers of co‐occurrence in the NW Atlantic
<p class="Default">Golden and Blueline Tilefish (<i>Lopholatilus chamaeleonticeps</i> and <i>Caulolatilus microps</i>) are keystone taxa in northwest (NW) Atlantic continental shelf‐edge environments due to their biotic (trophic‐mediated) and abiotic (ecosystem engineering) functional roles combined with high‐value fisheries. Despite this importance, the ecological niche dynamics (i.e., those relating to trophic behavior and food‐web interactions) of these sympatric species are poorly understood, knowledge of which may be consequential for maintaining both ecosystem function and fishery sustainability. We used stable isotope ratios of carbon (δ<sup>13</sup>C) and nitrogen (δ<sup>15</sup>N) to build realized ecological niche hypervolumes to serve as proxies for diet and production use patterns of <i>L</i>. <i>chamaeleonticeps</i> and <i>C. microps</i>. We hypothesized that: (a) species exhibit ontogenetic shifts in diet and use of production sources; (b) species acquire energy from spatially distinct resource pools that reflect a sedentary life‐history and differential use of the continental shelf‐edge; and (c) species exhibit differentiation in one or more measured niche axes. We found evidence for ontogenetic shifts in diet (δ<sup>15</sup>N) but not production source (δ<sup>13</sup>C) in both species, suggesting a subtle expansion of measured ecological niche axes. Spatial interpolation of stable isotope ratios showed distinct latitudinal gradients; for example, individuals were <sup>13</sup>C enriched in northern and <sup>15</sup>N enriched in southern regions, supporting the assertion that tilefish species acquire energy from regional resource pools. High isotopic overlap was observed among species (≥82%); however, when hypervolumes included depth and region of capture, overlap among species substantially decreased to overlap estimates of 15%–77%. This suggests that spatial segregation could alleviate potential competition for resources among tilefish species inhabiting continental shelf‐edge environments. Importantly, our results question the consensus interpretation of isotopic overlap estimates as representative of direct competition among species for shared resources or habitats, instead of identifying habitat segregation as a possible mechanism for the coexistence of tilefish species in the NW Atlantic.</p>
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
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Annotated Behaviour and Observability Dataset (ABODe)
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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.