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Fish and Amphibians species list of the Andrews Experimental Forest, 1987 to present
This is a compilation of fish species currently known to be present within the H.J. Andrews Experimental Forest. Species were extracted from several different aquatic vertebrate studies over time. Taxonomy is updated as needed.
Plant species list for Niwot Ridge and Green Lakes Valley, 1970 - ongoing.
A plant species list was created for Niwot Ridge and Green Lakes Valley from species identified in those areas by NWT scientists, working primarily at the Saddle and Martinelli sites. Additions to this list included species identified by Komarkova (1979) in the Indian Peaks Wilderness area but not on Niwot Ridge or in the Green Lakes Valley because of the likelihood that those species might exist within the LTER research area. Additions to the list were also provided by Terry Theodose, Leeanne Lestak, Teresa Nettleton, Susan Sherrod, Laura Mujica-Crapanzano (2004), Hope Humphries (2006), and Jane G. Smith (2019-2025). The list was revised to remove duplicate entries, correct typos, and resolve synonymy problems. Species and non-species categories received USDA PLANTS database names and codes.
A list of newly (re)appearing alien species in Belgium in support of decision making
<h2><strong>Context</strong></h2> <p>Invasive alien species are an important driver of biodiversity loss. Policy responses are developed to address this threat and need to be based on the best available data, including information from alien species registries and occurrence data. The Tracking Invasive Alien Species (<a href="http://trias-project.be" target="_blank" rel="noopener">TrIAS</a>) project implemented a workflow based on FAIR principles to identify new species in Belgium. These are species that have been newly observed on the territory or that were newly added to a species registry or checklist. The workflow is built on the Global Biodiversity Information Facility (GBIF) and uses the Belgian Global Register of Introduced and Invasive Species (<a href="https://doi.org/10.15468/xoidmd" target="_blank" rel="noopener">GRIIS Belgium</a>) as a baseline for comparison. </p> <h2><strong>Description</strong></h2> <p>This dataset contains the outputs of the <a href="https://trias-project.github.io/indicators/06_occurrence_indicators_appearing_taxa.html" target="_blank" rel="noopener">pipeline</a> that generates a list of new alien species occurring in Belgium. This pipeline retrieves alien taxa from openly published species checklists or occurrence datasets on GBIF and compares this list with the <a href="https://doi.org/10.15468/xoidmd" target="_blank" rel="noopener">Global Register of Introduced and Invasive Species - Belgium</a> (GRIIS Belgium) which is published by the IUCN Invasive Species Specialist Group (ISSG). This register is based on the <a href="https://github.com/trias-project/unified-checklist" target="_blank" rel="noopener">unified checklist of alien species in Belgium</a> which was created by TrIAS in support of research and policy using an open and reproducible workflow. Appearing/reappearing species are defined as follows:</p> <ul> <li>Appearing: an alien species which newly occurs on the Belgian territory in the three years before the year of the GBIF download used for creating the <a href="../records/10527772" target="_blank" rel="noopener">occurrence cube for non-native taxa in Belgium</a>. We will refer to this 3 years period as <em>evaluation period</em>.</li> <li>Re-appearing: an alien species reappearing on the Belgian territory after a latency of 4 years or more. For example, we consider a taxon reappearing in 2022 if observations occur in 2022 and 2018 or before.</li> </ul> <h2><strong>Files</strong></h2> <ul> <li><code>appearing_taxa.tsv</code></li> <li><code>reappearing_taxa.tsv</code></li> </ul> <h2><strong>Field values</strong></h2> <p>Field values of <code>appearing_taxa.csv</code>: </p> <ul> <li><code>taxonKey</code>: GBIF taxonKey</li> <li><code>canonicalName</code>: scientific species name</li> <li><code>year</code>: year of appearance</li> <li><code>ncells_prot_areas</code>: number of 1x1km grid cells in protected areas</li> <li><code>ncells_BE</code>: number of 1x1km grid cells in Belgium</li> <li><code>in_prot_areas</code>: species occurs for the first time in protected areas of NATURA2000 in Belgium during the evaluation period (<code>TRUE</code>/<code>FALSE</code>)</li> <li><code>in_BE</code>: species occurs for the first time in Belgium during the evaluation period(<code>TRUE</code>/<code>FALSE</code>)</li> <li><code>class</code></li> <li><code>kingdom</code></li> <li><code>classKey</code></li> <li><code>kingdomKey</code></li> </ul> <p>Field values of <code>reappearing_taxa.csv</code>: </p> <ul> <li><code>taxonKey</code>: GBIF taxonKey</li> <li><code>canonicalName</code>: scientific species name</li> <li><code>year</code>: year of reappearance</li> <li><code>ncells_prot_areas</code>: number of 1x1km grid cells in protected areas</li> <li><code>ncells_BE</code>: number of 1x1km grid cells in Belgium</li> <li><code>in_prot_areas</code>: species reappears in protected areas of NATURA2000 in Belgium (<code>TRUE</code>/<code>FALSE</code>)</li> <li><code>in_BE</code>: species reappears in Belgium during the evaluation period (<code>TRUE</code>/<code>FALSE</code>)</li> <li><code>n_latent_years</code>: latency, in year, i.e. the number of years since last occurrence in Belgium</li> <li><code>class</code></li> <li><code>kingdom</code></li> <li><code>classKey</code></li> <li><code>kingdomKey</code></li> </ul> <h2><strong>Potential uses of the dataset</strong></h2> <p>The list of newly (re)appearing alien species in Belgium can be used for various purposes:</p> <ul> <li>to update the Belgian GRIIS checklist</li> <li>to flag the occurrence of new, regulated species on the territory (early warning)</li> <li>to develop a rapid response </li> <li>to select species for quick impact assessment</li> <li>to select species for risk assessment</li> <li>to draft alert lists</li> <li>for horizon scanning alien species</li> <li>to select species for risk assessment</li> <li>to identify new introduction patways</li> <li>...</li> </ul>
Prioritized lists of alien species in Belgium and its regions
<h2><strong>Context</strong></h2> <p>Invasive alien species are an important driver of biodiversity loss. Policy responses are developed to address this threat and need to be based on the best available data, including information from alien species registries and occurrence data. The Tracking Invasive Alien Species (<a href="http://trias-project.be" target="_blank" rel="noopener">TrIAS</a>) project implemented a <a href="https://trias-project.github.io/indicators/" target="_blank" rel="noopener">indicator workflow</a> based on FAIR principles to feed <strong>policy relevant indicators for biological invasions in Belgium</strong> from openly published checklist and occurrence data on GBIF. </p> <h2><strong>Description</strong></h2> <p>This dataset contains the outputs of the <a href="https://trias-project.github.io/indicators/08_ranking_emerging_status.html">pipeline</a> that prioritizes alien species based on their emergence status. This prioritization is built upon the information contained in:</p> <ul> <li> The <a href="https://doi.org/10.15468/xoidmd" target="_blank" rel="noopener">Global Register of Introduced and Invasive Species - Belgium</a> (GRIIS Belgium) which is published by the IUCN Invasive Species Specialist Group (ISSG) based on the <a href="https://github.com/trias-project/unified-checklist" target="_blank" rel="noopener">unified checklist of alien species in Belgium</a> which was created by TrIAS in support of research and policy using an open and reproducible workflow.</li> <li>The <a href="../records/10527772" target="_blank" rel="noopener">species occurrence cube for non-native taxa in Belgium</a>.</li> </ul> <p>We provide two different prioritization strategies: hierarchical ranking and point strategy.</p> <p>We do the prioritzation for both Belgium and its three regions separately: Flanders, Wallonia and Brussels. Only the prioritization for Belgium takes into account the emergence status (number of occurrences and observed occupancy) in Natura2000 protected areas.</p> <h3>Hierarchical ranking</h3> <p>The ranking is based on the highest emerging status. The following priority rules are applied, in order of importance:</p> <ol> <li>The more recent, the higher priority is.</li> <li>Emerging statuses in protected areas are more important than the ones defined over entire Belgium.</li> <li>Emerging statuses from occupancy are more important than the ones from occurrences.</li> <li>The higher average minimal guaranteed growth (#occs/year), the higher priority is.</li> </ol> <h3>Points strategy</h3> <p>The points strategy is based on applying gain factors to emerging statuses using the number of observations in 2020 in Belgium/region as reference (gain factor = 1). The gain factor tables for both Belgium and its regions are available in the <a title="pipeline" href="https://trias-project.github.io/indicators/08_ranking_emerging_status.html#42_Point_strategy">pipeline</a>.</p> <h2><strong>Files</strong></h2> <ul> <li><code>ranking_emerging_status_hierarchical_strategy_Belgium.tsv</code></li> <li><code>ranking_emerging_status_hierarchical_strategy_Flanders.tsv</code></li> <li><code>ranking_emerging_status_hierarchical_strategy_Wallonia.tsv</code></li> <li><code>ranking_emerging_status_hierarchical_strategy_Brussels.tsv</code></li> <li><code>ranking_emerging_status_points_strategy_Belgium.tsv</code></li> <li><code>ranking_emerging_status_points_strategy_Flanders.tsv</code></li> <li><code>ranking_emerging_status_points_strategy_Wallonia.tsv</code></li> <li><code>ranking_emerging_status_points_strategy_Brussels.tsv</code></li> </ul> <h2>Field values</h2> <p>Field values of <code>ranking_emerging_status_hierarchical_strategy_Belgium.tsv</code>: </p> <ul> <li><code>taxonKey</code>: GBIF taxonKey.</li> <li><code>canonicalName</code>: scientific species name.</li> <li><code>kingdom</code>: the kingdom the taxon belongs to.</li> <li><code>class</code>: the class the taxon belongs to.</li> <li><code>year_2022_em_status_occupancy_natura2000</code>: the emergence status of the observed occupancy in the Natura2000 protected areas of Belgium in 2022. A number between 0 and 3.</li> <li><code>year_2022_em_status_occs_natura2000</code>: the emergence status of the number of occurrences over the Natura2000 protected areas of Belgium in 2022. A number between 0 and 3.</li> <li><code>year_2022_em_status_occupancy_Belgium</code>: the emergence status of the observed occupancy over the entire Belgium in 2020. A number between 0 and 3.</li> <li><code>year_2022_em_status_occs_Belgium</code>: the emergence status of the number of occurrences over the entire Belgium in 2022. A number between 0 and 3.</li> <li><code>year_2021_em_status_occupancy_natura2000</code>: the emergence status of the observed occupancy in the Natura2000 protected areas of Belgium in 2021. A number between 0 and 3.</li> <li><code>year_2021_em_status_occs_natura2000</code>: the emergence status of the number of occurrences over the Natura2000 protected areas of Belgium in 2021. A number between 0 and 3.</li> <li><code>year_2021_em_status_occupancy_Belgium</code>: the emergence status of the observed occupancy over the entire Belgium in 2020. A number between 0 and 3.</li> <li><code>year_2021_em_status_occs_Belgium</code>: the emergence status of the number of occurrences over the entire Belgium in 2021. A number between 0 and 3.</li> <li><code>year_2020_em_status_occupancy_natura2000</code>: the emergence status of the observed occupancy in the Natura2000 protected areas of Belgium in 2020. A number between 0 and 3.</li> <li><code>year_2020_em_status_occs_natura2000</code>: the emergence status of the number of occurrences over the Natura2000 protected areas of Belgium in 2020. A number between 0 and 3.</li> <li><code>year_2020_em_status_occupancy_Belgium</code>: the emergence status of the observed occupancy over the entire Belgium in 2020. A number between 0 and 3.</li> <li><code>year_2020_em_status_occs_Belgium</code>: the emergence status of the number of occurrences over the entire Belgium in 2020. A number between 0 and 3.</li> <li><code>mean_growth</code>: the average minimal guaranteed growth of the number of occurrences calculated over the 3 year evaluation period.</li> <li><code>kingdomKey</code>: the GBIF kingdomKey, i.e. the GBIF taxonKey of the kingdom the taxon belongs to.</li> <li><code>classKey</code>: the GBIF classKey, i.e. the GBIF taxonKey of the class the taxon belongs to.</li> </ul> <p> </p> <p>Field values of <code>ranking_emerging_status_hierarchical_strategy_*<em>.tsv</em></code><em>, where <code>*</code></em> is one of: <code>Flanders</code>, <code>Wallonia</code>, <code>Brussels</code>:</p> <ul> <li><code>taxonKey</code>: GBIF taxonKey.</li> <li><code>canonicalName</code>: scientific species name.</li> <li><code>kingdom</code>: the kingdom the taxon belongs to.</li> <li><code>class</code>: the class the taxon belongs to.</li> <li><code>year_2022_em_status_occupancy_*</code>: the emergence status of the observed occupancy over the region * in 2020. A number between 0 and 3.</li> <li><code>year_2022_em_status_occs_*</code>: the emergence status of the number of occurrences over the region <strong>*</strong> in 2022. A number between 0 and 3.</li> <li><code>year_2021_em_status_occupancy_*</code>: the emergence status of the observed occupancy over the region <strong>*</strong> in 2020. A number between 0 and 3.</li> <li><code>year_2021_em_status_occs_*</code>: the emergence status of the number of occurrences over the region <strong>*</strong> in 2021. A number between 0 and 3.</li> <li><code>year_2020_em_status_occupancy_*</code>: the emergence status of the observed occupancy over the region <strong>*</strong> in 2020. A number between 0 and 3.</li> <li><code>year_2020_em_status_occs_*</code>: the emergence status of the number of occurrences over the region <strong>* </strong>in 2020. A number between 0 and 3.</li> <li><code>mean_growth</code>: the average minimal guaranteed growth of the number of occurrences calculated over the 3 year evaluation period.</li> <li><code>kingdomKey</code>: the GBIF kingdomKey, i.e. the GBIF taxonKey of the kingdom the taxon belongs to.</li> <li><code>classKey</code>: the GBIF classKey, i.e. the GBIF taxonKey of the class the taxon belongs to.</li> </ul> <p> </p> <p>Field values of <code>ranking_emerging_status_points_strategy_Belgium.tsv</code>: </p> <ul> <li><code>taxonKey</code>: GBIF taxonKey.</li> <li><code>canonicalName</code>: scientific species name.</li> <li><code>kingdom</code>: the kingdom the taxon belongs to.</li> <li><code>class</code>: the class the taxon belongs to.</li> <li><code>em_pts</code>: a number between 0 and 72</li> <li><code>mean_growth</code>: the average minimal guaranteed growth of the number of occurrences calculated over the 3 year evaluation period.</li> <li><code>year_2022_em_status_occupancy_natura2000</code>: the emergence status of the observed occupancy in the Natura2000 protected areas of Belgium in 2022. A number between 0 and 3.</li> <li><code>year_2022_em_status_occs_natura2000</code>: the emergence status of the number of occurrences over the Natura2000 protected areas of Belgium in 2022. A number between 0 and 3.</li> <li><code>year_2022_em_status_occupancy_Belgium</code>: the emergence status of the observed occupancy over the entire Belgium in 2020. A number between 0 and 3.</li> <li><code>year_2022_em_status_occs_Belgium</code>: the emergence status of the number of occurrences over the entire Belgium in 2022. A number between 0 and 3.</li> <li><code>year_2021_em_status_occupancy_natura2000</code>: the emergence status of the observed occupancy in the Natura2000 protected areas of Belgium in 2021. A number between 0 and 3.</li> <li><code>year_2021_em_status_occs_natura2000</code>: the emergence status of the number of occurrences over the Natura2000 protected areas of Belgium in 2021. A number between 0 and 3.</li> <li><code>year_2021_em_status_occupancy_Belgium</code>: the emergence status of the observed occupancy over the entire Belgium in 2020. A number between 0 and 3.</li> <li><code>year_2021_em_status_occs_Belgium</code>: the emergence status of the number of occurrences over the entire Belgium in 2021. A number between 0 and 3.</li> <li><code>year_2020_em_status_occupancy_natura2000</code>: the emergence status of the observed occupancy in the Natura2000 protected areas of Belgium in 2020. A number between 0 and 3.</li> <li><code>year_2020_em_status_occs_natura2000</code>: the emergence status of the number of occurrences over the Natura2000 protected areas of Belgium in 2020. A number between 0 and 3.</li> <li><code>year_2020_em_status_occupancy_Belgium</code>: the emergence status of the observed occupancy over the entire Belgium in 2020. A number between 0 and 3.</li> <li><code>year_2020_em_status_occs_Belgium</code>: the emergence status of the number of occurrences over the entire Belgium in 2020. A number between 0 and 3.</li> <li><code>kingdomKey</code>: the GBIF kingdomKey, i.e. the GBIF taxonKey of the kingdom the taxon belongs to.</li> <li><code>classKey</code>: the GBIF classKey, i.e. the GBIF taxonKey of the class the taxon belongs to.</li> </ul> <p> </p> <p>Field values of <code>ranking_emerging_status_points_strategy_*<em>.tsv</em></code><em>, where <code>*</code></em> is one of: <code>Flanders</code>, <code>Wallonia</code>, <code>Brussels</code>:</p> <ul> <li><code>taxonKey</code>: GBIF taxonKey.</li> <li><code>canonicalName</code>: scientific species name.</li> <li><code>kingdom</code>: the kingdom the taxon belongs to.</li> <li><code>class</code>: the class the taxon belongs to.</li> <li><code>em_pts</code>: a number between 0 and 31.5</li> <li><code>mean_growth</code>: the average minimal guaranteed growth of the number of occurrences calculated over the 3 year evaluation period.</li> <li><code>year_2022_em_status_occupancy_*</code>: the emergence status of the observed occupancy over the region <strong>*</strong> in 2020. A number between 0 and 3.</li> <li><code>year_2022_em_status_occs_*</code>: the emergence status of the number of occurrences over the region <strong>*</strong> in 2022. A number between 0 and 3.</li> <li><code>year_2021_em_status_occupancy_*</code>: the emergence status of the observed occupancy over the regin <strong>*</strong> in 2020. A number between 0 and 3.</li> <li><code>year_2021_em_status_occs_*</code>: the emergence status of the number of occurrences over the region <strong>*</strong> in 2021. A number between 0 and 3.</li> <li><code>year_2020_em_status_occupancy_*</code>: the emergence status of the observed occupancy over the region <strong>*</strong> in 2020. A number between 0 and 3.</li> <li><code>year_2020_em_status_occs_*</code>: the emergence status of the number of occurrences over the region <strong>*</strong> in 2020. A number between 0 and 3.</li> <li><code>mean_growth</code>: the average minimal guaranteed growth of the number of occurrences calculated over the 3 year evaluation period.</li> <li><code>kingdomKey</code>: the GBIF kingdomKey, i.e. the GBIF taxonKey of the kingdom the taxon belongs to.</li> <li><code>classKey</code>: the GBIF classKey, i.e. the GBIF taxonKey of the class the taxon belongs to.</li> </ul>
AquaMaps: AquaMaps species list (test)
from <p></p>http://www.aquamaps.org/. AquaMaps are computer-generated predictions of natural occurrence of marine species, based on the environmental tolerance of a given species with respect to depth, salinity, temperature, primary productivity, and its association with sea ice or coastal areas. These __environmental envelopes__ are matched against an authority file which contains respective information for the Oceans of the World. Independent knowledge such as distribution by FAO areas or bounding boxes are used to avoid mapping species in areas that contain suitable habitat, but are not occupied by the species. Maps show the color-coded likelihood of a species to occur in a half-degree cell, with about 50 km side length near the equator. Experts are able to review, modify and approve maps.<p></p>
AquaMaps: AquaMaps species list
from <p></p>http://www.aquamaps.org/. AquaMaps are computer-generated predictions of natural occurrence of marine species, based on the environmental tolerance of a given species with respect to depth, salinity, temperature, primary productivity, and its association with sea ice or coastal areas. These __environmental envelopes__ are matched against an authority file which contains respective information for the Oceans of the World. Independent knowledge such as distribution by FAO areas or bounding boxes are used to avoid mapping species in areas that contain suitable habitat, but are not occupied by the species. Maps show the color-coded likelihood of a species to occur in a half-degree cell, with about 50 km side length near the equator. Experts are able to review, modify and approve maps.<p></p>
IPBES Invasive Alien Species Assessment, list of literature for Chapter 3
<p>This list of literature represents the literature reviewed for chapter 3 of IPBES thematic assessment of invasive alien species and their control. Please see respective data management report for more details.</p><p>For each data management report, please refer to below links:</p><p>3.2.1 Socio-cultural drivers and social values: <a href="http://doi.org/10.5281/zenodo.8031019">10.5281/zenodo.8031019</a></p><p>3.2.2.1 Regional and national changes in human population density: <a href="http://doi.org/10.5281/zenodo.8031519">10.5281/zenodo.8031519</a></p><p>3.2.2.2 Human migration: <a href="http://doi.org/10.5281/zenodo.8032105">10.5281/zenodo.8032105</a></p><p>3.2.2.3 International crises: armed conflict and humanitarian aid: <a href="http://doi.org/10.5281/zenodo.8032211">10.5281/zenodo.8032211</a></p><p>3.2.2.4 Urbanisation: <a href="http://doi.org/10.5281/zenodo.5553573">10.5281/zenodo.5553573</a></p><p>3.2.3.5 Externalities of negative impacts and cost: <a href="http://doi.org/10.5281/zenodo.8032327">10.5281/zenodo.8032327</a></p><p>3.2.4.1 Research: <a href="http://doi.org/10.5281/zenodo.5717444">10.5281/zenodo.5717444</a></p><p>3.2.4.2 Development of communication technology:<a href="http://doi.org/10.5281/zenodo.8035280">10.5281/zenodo.8035280</a></p><p>3.2.4.3 Breeding and genomic technologies: <a href="http://doi.org/10.5281/zenodo.5591058">10.5281/zenodo.5591058</a></p><p>3.2.5 Policies, governance, and institutions: <a href="http://doi.org/10.5281/zenodo.5717451">10.5281/zenodo.5717451</a></p><p>3.3.1.1 Introductions intentionally or accidentally from agriculture, forestry, fisheries, and aquaculture: <a href="http://doi.org/10.5281/zenodo.8035344">10.5281/zenodo.8035344</a></p><p>3.3.1.2 Fragmentation of ecosystems: <a href="http://doi.org/10.5281/zenodo.8035352">10.5281/zenodo.8035352</a></p><p>3.3.1.3 Creation of anthropogenic corridors: <a href="http://doi.org/10.5281/zenodo.5529361">10.5281/zenodo.5529361</a></p><p>3.3.1.5 Changes in landscape - seascape disturbance regimes (intensification and reduction): <a href="http://doi.org/10.5281/zenodo.8036425">10.5281/zenodo.8036425</a></p><p>3.3.1.6 Landscape and seascape degradation: <a href="http://doi.org/10.5281/zenodo.5533042">10.5281/zenodo.5533042</a></p><p>3.3.2.3 Mining (minerals, metal, oil, fossils fuels): <a href="http://doi.org/10.5281/zenodo.8036498">10.5281/zenodo.8036498</a></p><p>3.3.3.1 Eutrophication and nitrient deposition: <a href="http://doi.org/10.5281/zenodo.8036544">10.5281/zenodo.8036544</a></p><p>3.3.3.2 Other contaminants in water and soil: <a href="http://doi.org/10.5281/zenodo.5587987">10.5281/zenodo.5587987</a></p><p>3.3.3.3 Marine debris: <a href="http://doi.org/10.5281/zenodo.5588374">10.5281/zenodo.5588374</a></p><p>Box 3.8: <a href="http://doi.org/10.5281/zenodo.5588389">10.5281/zenodo.5588389</a></p><p>3.3.4.1 Temperature change: <a href="http://doi.org/10.5281/zenodo.8036828">10.5281/zenodo.8036828</a></p><p>3.3.4.2 Precipitation: <a href="http://doi.org/10.5281/zenodo.8036879">10.5281/zenodo.8036879</a></p><p>3.3.4.3 Climate extremes: <a href="http://doi.org/10.5281/zenodo.5533052">10.5281/zenodo.5533052</a></p><p>3.3.4.4 Carbon dioxide enrichment in air, water: <a href="http://doi.org/10.5281/zenodo.8037007">10.5281/zenodo.8037007</a></p><p>3.3.4.5 Fire regime changes: <a href="http://doi.org/10.5281/zenodo.5591070">10.5281/zenodo.5591070</a></p><p>3.3.4.6 sea level rise: <a href="http://doi.org/10.5281/zenodo.8037086">10.5281/zenodo.8037086</a></p><p>Box 3.9 Assisted colonisation: <a href="http://doi.org/10.5281/zenodo.5535113">10.5281/zenodo.5535113</a></p><p>3.3.5.1 Biotic facilitation: <a href="http://doi.org/10.5281/zenodo.5722695">10.5281/zenodo.5722695</a></p><p>3.3.5.2 Unintended consequences of management (including biological control): <a href="http://doi.org/10.5281/zenodo.8037235">10.5281/zenodo.8037235</a></p><p>3.4.1 Natural hazards: <a href="http://doi.org/10.5281/zenodo.5533488">10.5281/zenodo.5533488</a></p><p>3.5.4 Urbanisation and Pollution: <a href="http://doi.org/10.5281/zenodo.5588440">10.5281/zenodo.5588440</a></p><p>Figure 3.34: <a href="http://doi.org/10.5281/zenodo.7861162">10.5281/zenodo.7861162</a></p><p> </p>
PPS01 Konza prairie plant species list
The dataset (Key for Plant Species Codes in Konza Prairie Community Composition Datasets) contains a numeric code for each vascular plant species that has been recorded in any Konza Prairie LTER plant community composition dataset (e.g. PVC02, PBG01, WAT01, BGPVC). Each code designates a vasular plant taxon (species level). Variables include: family, genus, specific epithet, lifespan, growth form, origin, photosynthetic pathway (for grasses).
KIC01 Konza Prairie terrestrial arthropods species list
Konza Prairie Terrestrial Arthropods Species List. This species list has been modified since 1977, last modified by Ellen Welti and Anthony Joern in 2014.
Springtails (Arthropoda, Collembola) from Greater Puerto Rico: species list and distribution
The data archive is here: https://doi.org/10.2737/RDS-2018-0063 please use this DOI when citing this dataset. The Collembola fauna of Puerto Rico is reasonably well known, but many recent reports are scattered in published literature and unpublished theses. Here we present a summary of all springtail species identified from the Bank of Puerto Rico since 1927 and 2011. This includes new, previously unpublished records. In the present review we list 119 species in 59 genera and 17 families. Most species (37) belong in family Entomobryidae, but this reflects the taxonomic expertise of specialists working in Puerto Rico rather than a real bias in the distribution of higher taxa in the islands. In addition to the new reports, these data provide information on the distribution of the species outside the island bank. This current list of species is an update to original species lists from Puerto Rico (Mari Mutt 1982 and Thibaud 2014). In addition to the list of species, we make available a data set that includes a catalog of species, their habitats, historical reports and distribution maps on Greater Puerto Rico. \<para\> Support for this work was provided by grants BSR-8811902, DEB-9411973, DEB-9705814 , DEB-0080538, DEB-0218039 , DEB-0620910 , DEB-1239764, DEB-1546686, and DEB-1831952 from the National Science Foundation to the University of Puerto Rico as part of the Luquillo Long-Term Ecological Research Program. Additional support provided by the University of Puerto Rico and the International Institute of Tropical Forestry, USDA Forest Service.\</para\>
Water Body Checklists 2019: Adriatic Sea Species List
Species checklists created using effechecka and modified polygons from IHO. The polygons were reduced in resolution.<p></p>List of species collected from the Adriatic Sea using effechecka and a modified polygon from the International Hydrographic Association. A filter was applied (based on data from WoRMS) to remove all non-marine taxa.
Water Body Checklists 2019: Ceram Sea Species List
Species checklists created using effechecka and modified polygons from IHO. The polygons were reduced in resolution.<p></p>List of species collected from the Ceram Sea using effechecka and a modified polygon from the International Hydrographic Association. A filter was applied (based on data from WoRMS) to remove all non-marine taxa.
National Checklists 2017: Martinique Species List
Lists of taxa for each country and a few other administrative zones harvested from effechecka using simplified versions of geonames polygons. See <p></p>https://github.com/diatomsRcool/checklists for details.<p></p>A list of species from Martinique collected using effechecka and geonames polygons
National Checklists 2017: Guatemala Species List
Lists of taxa for each country and a few other administrative zones harvested from effechecka using simplified versions of geonames polygons. See <p></p>https://github.com/diatomsRcool/checklists for details<p></p>A list of species from Guatemala collected using effechecka and geonames polygons
National Checklists 2017: South America Species List
Lists of taxa for each country and a few other administrative zones harvested from effechecka using simplified versions of geonames polygons. See <p></p>https://github.com/diatomsRcool/checklists for details<p></p>List of species from South America inferred from individual country lists that were derived from effechecka and modified geonames polygons
National Checklists 2017: Oceania Species List
Lists of taxa for each country and a few other administrative zones harvested from effechecka using simplified versions of geonames polygons. See <p></p>https://github.com/diatomsRcool/checklists for details<p></p>List of species from Oceania inferred from individual country lists that were derived from effechecka and modified geonames polygons
National Checklists 2017: North America Species List
Lists of taxa for each country and a few other administrative zones harvested from effechecka using simplified versions of geonames polygons. See <p></p>https://github.com/diatomsRcool/checklists for details<p></p>List of species from North America inferred from individual country lists that were derived from effechecka and modified geonames polygons
National Checklists 2017: Asia Species List
Lists of taxa for each country and a few other administrative zones harvested from effechecka using simplified versions of geonames polygons. See <p></p>https://github.com/diatomsRcool/checklists for details<p></p>List of species from Asia inferred from individual country lists that were derived from effechecka and modified geonames polygons
National Checklists 2017: Europe Species List
Lists of taxa for each country and a few other administrative zones harvested from effechecka using simplified versions of geonames polygons. See <p></p>https://github.com/diatomsRcool/checklists for details<p></p>List of species from Europe inferred from individual country lists that were derived from effechecka and modified geonames polygons
National Checklists 2017: Africa Species List
Lists of taxa for each country and a few other administrative zones harvested from effechecka using simplified versions of geonames polygons. See <p></p>https://github.com/diatomsRcool/checklists for details<p></p>List of species from the continent of Africa inferred from individual country lists that were derived from effechecka and modified geonames polygons
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.