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Figs. 1–2 in First high-altitude record of Bucculatrix mirnae Vargas and Moreira (Lepidoptera, Bucculatricidae) on a newly documented host plant: the importance of host plant distribution for conservation on the western slopes of the Andes mountains of northern Chile
Figs. 1–2. The habitats of Bucculatrix mirnae in the arid northern Chile. (1) The lowland Azapa Valley (type locality) located in the coastal Atacama Desert close sea level. (2) The highland neighborhood of Putre village at about 3500 m elevation on the western slopes of the Andes.
Fig. 2 in Influence of altitude and seasonality in the termite species richness and nests density in a hill environment of the Brazilian Caatinga
Fig. 2. NMDS of species composition in foot and top of a hill environment in a dry forest, ParaÍba, Brazil (dimensions = 2).
Fig. 1 in Influence of altitude and seasonality in the termite species richness and nests density in a hill environment of the Brazilian Caatinga
Fig. 1. Rarefaction curves of the richness of termites and number of encounters in a hill environment of a dry forest, ParaÍba, Brazil. a) dry and b) wet seasons.
Correlation between Radiation Enhancements at Aviation Altitudes and Energetic Precipitation Electrons
<p>Figures, data, and code used in my paper describing "Correlation between Radiation Enhancements at Aviation Altitudes and Energetic Precipitation Electrons"</p>
UAV RAW images from UAV at 50m altitude - Ria de Vigo (Spain) pilot site
<table> <tbody> <tr> <td> <p><strong>Identification</strong></p> </td> <td> </td> </tr> <tr> <td> <p>Full Title</p> </td> <td> <p>UAV RAW images from UAV at 50m altitude - Ria de Vigo (Spain) pilot site</p> </td> </tr> <tr> <td> <p>Abstract</p> </td> <td> <p>UAV RAW images from DJI Mini 2 UAV at 50m altitude in the area of Vao beach and Santa Marta - Limens beach at the Ria de Vigo pilot site. Data were aquired in March 2024 field campaign.</p> </td> </tr> <tr> <td> <p>Keywords</p> </td> <td> <p> UAV, Ria De Vigo, coastal area, raw drone images, DJI raw images</p> </td> </tr> <tr> <td> <p>Pilot area</p> </td> <td> <p> Ria De Vigo</p> </td> </tr> <tr> <td> <p>Associated resources</p> </td> <td> <p> </p> </td> </tr> <tr> <td> <p>Language</p> </td> <td> <p> English</p> </td> </tr> <tr> <td> <p>URL</p> </td> <td> <p> </p> </td> </tr> <tr> <td> <p>Categories</p> </td> <td> <p> UAV</p> </td> </tr> <tr> <td> <p><strong>Temporal reference</strong></p> </td> <td> </td> </tr> <tr> <td> <p>Creation date (dd.mm.yyyy)</p> </td> <td> <p> 23.08.2024</p> </td> </tr> <tr> <td> <p>Revision date (dd.mm.yyyy)</p> </td> <td> <p> 23.08.2024</p> </td> </tr> <tr> <td> <p><strong>Quality and validity</strong></p> </td> <td> </td> </tr> <tr> <td> <p>Representation type</p> </td> <td> <p> </p> </td> </tr> <tr> <td> <p>Format</p> </td> <td> <p> jpg</p> </td> </tr> <tr> <td> <p>Lineage</p> </td> <td> <p> </p> </td> </tr> <tr> <td> <p>Spatial resolution</p> </td> <td> <p> </p> </td> </tr> <tr> <td> <p>Positional accuracy</p> </td> <td> <p> </p> </td> </tr> <tr> <td> <p>Maintenance information</p> </td> <td> <p> </p> </td> </tr> <tr> <td> <p>Coordinate system</p> </td> <td> <p> </p> </td> </tr> <tr> <td> <p><strong>Constraints related to access and use</strong></p> </td> <td> </td> </tr> <tr> <td> <p>Use limitation</p> </td> <td> <p> Free</p> </td> </tr> <tr> <td> <p>Access constraint</p> </td> <td> <p> None</p> </td> </tr> <tr> <td> <p>Public/Private</p> </td> <td> <p> Public</p> </td> </tr> <tr> <td> <p><strong>Responsible organisation</strong></p> </td> <td> </td> </tr> <tr> <td> <p>Responsible Contact</p> </td> <td> <p> <a href="mailto:izananiri@eagme.gr">izananiri@eagme.gr</a></p> </td> </tr> <tr> <td> <p>Responsible Party</p> </td> <td> <p> HSGME</p> </td> </tr> <tr> <td> <p><strong>Metadata on metadata</strong></p> </td> <td> </td> </tr> <tr> <td> <p>Contact</p> </td> <td> <p> <a href="mailto:izananiri@eagme.gr">izananiri@eagme.gr</a></p> </td> </tr> <tr> <td> <p>Metadata language</p> </td> <td> <p> English</p> </td> </tr> </tbody> </table>
UAV RAW images from UAV at 80m altitude - Ria de Vigo (Spain) pilot site
<table> <tbody> <tr> <td> <p><strong>Identification</strong></p> </td> <td> </td> </tr> <tr> <td> <p>Full Title</p> </td> <td> <p>UAV RAW images from UAV at 80m altitude - Ria de Vigo (Spain) pilot site</p> </td> </tr> <tr> <td> <p>Abstract</p> </td> <td> <p>UAV RAW images from DJI Mini 2 UAV at 80m altitude in the area of Vao beach and Santa Marta - Limens beach at the Ria de Vigo pilot site. Data were aquired in March 2024 field campaign.</p> </td> </tr> <tr> <td> <p>Keywords</p> </td> <td> <p> UAV, Ria De Vigo, coastal area, raw drone images, DJI raw images</p> </td> </tr> <tr> <td> <p>Pilot area</p> </td> <td> <p> Ria De Vigo</p> </td> </tr> <tr> <td> <p>Associated resources</p> </td> <td> <p> </p> </td> </tr> <tr> <td> <p>Language</p> </td> <td> <p> English</p> </td> </tr> <tr> <td> <p>URL</p> </td> <td> <p> </p> </td> </tr> <tr> <td> <p>Categories</p> </td> <td> <p> UAV</p> </td> </tr> <tr> <td> <p><strong>Temporal reference</strong></p> </td> <td> </td> </tr> <tr> <td> <p>Creation date (dd.mm.yyyy)</p> </td> <td> <p> 23.08.2024</p> </td> </tr> <tr> <td> <p>Revision date (dd.mm.yyyy)</p> </td> <td> <p> 23.08.2024</p> </td> </tr> <tr> <td> <p><strong>Quality and validity</strong></p> </td> <td> </td> </tr> <tr> <td> <p>Representation type</p> </td> <td> <p> </p> </td> </tr> <tr> <td> <p>Format</p> </td> <td> <p> jpg</p> </td> </tr> <tr> <td> <p>Lineage</p> </td> <td> <p> </p> </td> </tr> <tr> <td> <p>Spatial resolution</p> </td> <td> <p> </p> </td> </tr> <tr> <td> <p>Positional accuracy</p> </td> <td> <p> </p> </td> </tr> <tr> <td> <p>Maintenance information</p> </td> <td> <p> </p> </td> </tr> <tr> <td> <p>Coordinate system</p> </td> <td> <p> </p> </td> </tr> <tr> <td> <p><strong>Constraints related to access and use</strong></p> </td> <td> </td> </tr> <tr> <td> <p>Use limitation</p> </td> <td> <p> Free</p> </td> </tr> <tr> <td> <p>Access constraint</p> </td> <td> <p> None</p> </td> </tr> <tr> <td> <p>Public/Private</p> </td> <td> <p> Public</p> </td> </tr> <tr> <td> <p><strong>Responsible organisation</strong></p> </td> <td> </td> </tr> <tr> <td> <p>Responsible Contact</p> </td> <td> <p> <a href="mailto:izananiri@eagme.gr">izananiri@eagme.gr</a></p> </td> </tr> <tr> <td> <p>Responsible Party</p> </td> <td> <p> HSGME</p> </td> </tr> <tr> <td> <p><strong>Metadata on metadata</strong></p> </td> <td> </td> </tr> <tr> <td> <p>Contact</p> </td> <td> <p> <a href="mailto:izananiri@eagme.gr">izananiri@eagme.gr</a></p> </td> </tr> <tr> <td> <p>Metadata language</p> </td> <td> <p> English</p> </td> </tr> </tbody> </table>
UAV orthomosaic at 80m altitude - Ria de Vigo (Spain) pilot site
<table> <tbody> <tr> <td> <p><strong>Identification</strong></p> </td> </tr> <tr> <td> <p>Full Title</p> </td> <td> <p>UAV orthomosaic at 80m altitude - Ria de Vigo (Spain) pilot site</p> </td> </tr> <tr> <td> <p>Abstract</p> </td> <td> <p>UAV orthomosaic orthorectified with DGPS, compiled from images collected at 80m altitude using a DJI Mini 2 UAV, in the area of Vao beach and Santa Marta - Limens beach at the Ria de Vigo pilot site. Data were aquired in March 2024 field campaign.</p> </td> </tr> <tr> <td> <p>Keywords</p> </td> <td> <p> UAV, orthomosaic, Ria De Vigo, coastal area</p> </td> </tr> <tr> <td> <p>Pilot area</p> </td> <td> <p> Ria De Vigo</p> </td> </tr> <tr> <td> <p>Associated resources</p> </td> <td> <p> </p> </td> </tr> <tr> <td> <p>Language</p> </td> <td> <p> English</p> </td> </tr> <tr> <td> <p>URL</p> </td> <td> <p> </p> </td> </tr> <tr> <td> <p>Categories</p> </td> <td> <p> UAV</p> </td> </tr> <tr> <td> <p><strong>Temporal reference</strong></p> </td> </tr> <tr> <td> <p>Creation date (dd.mm.yyyy)</p> </td> <td> <p> 23.08.2024</p> </td> </tr> <tr> <td> <p>Revision date (dd.mm.yyyy)</p> </td> <td> <p> 23.08.2024</p> </td> </tr> <tr> <td> <p><strong>Quality and validity</strong></p> </td> </tr> <tr> <td> <p>Representation type</p> </td> <td> <p> Raster</p> </td> </tr> <tr> <td> <p>Format</p> </td> <td> <p> GeoTIFF</p> </td> </tr> <tr> <td> <p>Lineage</p> </td> <td> <p> </p> </td> </tr> <tr> <td> <p>Spatial resolution</p> </td> <td> <p> 0.023m</p> </td> </tr> <tr> <td> <p>Positional accuracy</p> </td> <td> <p> 0.25m</p> </td> </tr> <tr> <td> <p>Maintenance information</p> </td> <td> <p> </p> </td> </tr> <tr> <td> <p>Coordinate system</p> </td> <td> <p> EPSG:32630</p> </td> </tr> <tr> <td> <p><strong>Constraints related to access and use</strong></p> </td> </tr> <tr> <td> <p>Use limitation</p> </td> <td> <p> Free</p> </td> </tr> <tr> <td> <p>Access constraint</p> </td> <td> <p> None</p> </td> </tr> <tr> <td> <p>Public/Private</p> </td> <td> <p> Public</p> </td> </tr> <tr> <td> <p><strong>Responsible organisation</strong></p> </td> </tr> <tr> <td> <p>Responsible Contact</p> </td> <td> <p> <a href="mailto:izananiri@eagme.gr">izananiri@eagme.gr</a></p> </td> </tr> <tr> <td> <p>Responsible Party</p> </td> <td> <p> HSGME</p> </td> </tr> <tr> <td> <p><strong>Metadata on metadata</strong></p> </td> </tr> <tr> <td> <p>Contact</p> </td> <td> <p> <a href="mailto:izananiri@eagme.gr">izananiri@eagme.gr</a></p> </td> </tr> <tr> <td> <p>Metadata language</p> </td> <td> <p> English</p> </td> </tr> </tbody> </table>
UAV orthomosaic at 50m altitude - Ria de Vigo (Spain) pilot site
<table> <tbody> <tr> <td> <p><strong>Identification</strong></p> </td> </tr> <tr> <td> <p>Full Title</p> </td> <td> <p>UAV orthomosaic at 50m altitude - Ria de Vigo (Spain) pilot site</p> </td> </tr> <tr> <td> <p>Abstract</p> </td> <td> <p>UAV orthomosaic orthorectified with DGPS, compiled from images collected at 50m altitude using a DJI Mini 2 UAV, in the area of Vao beach and Santa Marta - Limens beach at the Ria de Vigo pilot site. Data were aquired in March 2024 field campaign.</p> </td> </tr> <tr> <td> <p>Keywords</p> </td> <td> <p> UAV, orthomosaic, Ria De Vigo, coastal area</p> </td> </tr> <tr> <td> <p>Pilot area</p> </td> <td> <p> Ria De Vigo</p> </td> </tr> <tr> <td> <p>Associated resources</p> </td> <td> <p> </p> </td> </tr> <tr> <td> <p>Language</p> </td> <td> <p> English</p> </td> </tr> <tr> <td> <p>URL</p> </td> <td> <p> </p> </td> </tr> <tr> <td> <p>Categories</p> </td> <td> <p> UAV</p> </td> </tr> <tr> <td> <p><strong>Temporal reference</strong></p> </td> </tr> <tr> <td> <p>Creation date (dd.mm.yyyy)</p> </td> <td> <p> 23.08.2024</p> </td> </tr> <tr> <td> <p>Revision date (dd.mm.yyyy)</p> </td> <td> <p> 23.08.2024</p> </td> </tr> <tr> <td> <p><strong>Quality and validity</strong></p> </td> </tr> <tr> <td> <p>Representation type</p> </td> <td> <p> Raster</p> </td> </tr> <tr> <td> <p>Format</p> </td> <td> <p> GeoTIFF</p> </td> </tr> <tr> <td> <p>Lineage</p> </td> <td> <p> </p> </td> </tr> <tr> <td> <p>Spatial resolution</p> </td> <td> <p> 0.014m</p> </td> </tr> <tr> <td> <p>Positional accuracy</p> </td> <td> <p> 0.25m</p> </td> </tr> <tr> <td> <p>Maintenance information</p> </td> <td> <p> </p> </td> </tr> <tr> <td> <p>Coordinate system</p> </td> <td> <p> EPSG:32630</p> </td> </tr> <tr> <td> <p><strong>Constraints related to access and use</strong></p> </td> </tr> <tr> <td> <p>Use limitation</p> </td> <td> <p> Free</p> </td> </tr> <tr> <td> <p>Access constraint</p> </td> <td> <p> None</p> </td> </tr> <tr> <td> <p>Public/Private</p> </td> <td> <p> Public</p> </td> </tr> <tr> <td> <p><strong>Responsible organisation</strong></p> </td> </tr> <tr> <td> <p>Responsible Contact</p> </td> <td> <p> <a href="mailto:izananiri@eagme.gr">izananiri@eagme.gr</a></p> </td> </tr> <tr> <td> <p>Responsible Party</p> </td> <td> <p> HSGME</p> </td> </tr> <tr> <td> <p><strong>Metadata on metadata</strong></p> </td> </tr> <tr> <td> <p>Contact</p> </td> <td> <p> <a href="mailto:izananiri@eagme.gr">izananiri@eagme.gr</a></p> </td> </tr> <tr> <td> <p>Metadata language</p> </td> <td> <p> English</p> </td> </tr> </tbody> </table>
Dry perennial herbaceous community data of Castril, Santiago and Pontones high-altitude rangelands in Andalusia (Spain)
<p>Data generated from vegetation monitoring in Castril, Santiago and Pontones rangelands situated in Sierra de Segura and Sierra de Castril in North-Eastern Andalusia (Spain).</p> <p>These data and R Script are linked to the article <em>How transhumance and pastoral commons shape plant community structure and composition. </em></p> <p>The plant community sampled belongs to <em>Festuco hystricis-Ononidetea striatae</em> class, consisting of <em>Coronillo minimae-Astragaletum nummularioidis</em> and <em>Seseli granatensis-Festucetum hystricis</em> plant associations. Plant data community consists in 72 vegetation transects. For further details see the article or contact S.A. Parra (santiago.parra-bulacio@etu.univ-amu.fr).</p> <p>File “Read_me.txt” details the databases and R script published.</p>
Data from: A snow-dwelling tropical butterfly? An unprecedented discovery of a new genus of the Pedaliodes clade in an extreme, high-altitude Andean environment (Lepidoptera: Nymphalidae, Satyrinae)
<p><span><span>A new genus of satyrine butterflies, </span></span><span><span><em>Nivaliodes </em></span></span><span><span><strong>gen. nov.</strong></span></span><span><span>, is described for three species, all new – </span></span><span><span><em>N. negrobueno </em></span></span><span><span><strong>sp. nov.</strong></span></span><span><span>,</span></span><span><span><em>N. virococha</em></span></span><span> </span><span><span><strong>sp. nov.</strong></span></span><span><span> and </span></span><span><span><em>N. puriq </em></span></span><span><span><strong>sp. nov.</strong></span></span><span><span> (Lepidoptera, Nymphalidae) – with a support of molecular data and adult morphology. Target enrichment-based phylogeny indicates </span></span><span><span><em>Nivaliodes </em></span></span><span><span><strong>gen. nov.</strong></span></span><span><span> is sister to the genus </span></span><span><span><em>Pherepedaliodes</em></span></span><span><span>within an extremely diverse </span></span><span><span><em>Pedaliodes</em></span></span><span><span> clade of the predominantly Andean subtribe Pronophilina</span></span><span><span><em>. </em></span></span><span><span>Whereas an overwhelming majority of species of this group occur in tropical montane forests, </span></span><span><span><em>N. negrobueno </em></span></span><span><span><strong>sp. nov.</strong></span></span><span><span> was discovered in a central Peruvian desert puna at some 4600-4800 m asl., the highest elevation reported for any species of the Pronophilina. Individuals were observed overflying rocky slopes and resting directly on snow-covered surfaces, which is an exceptionally unusual behaviour among butterflies. The other two species of the new genus were found at lower elevations, some 3300-4200 m asl. at the timberline and in puna grassland. </span></span></p>
Linked collectors and determiners for: Qorimayus, a new genus of relictual, high-altitude harvestmen from western Argentina (Arachnida, Opiliones, Gonyleptidae) reveals trans-Andean phylogenetic links.
Natural history specimen data linked to collectors and determiners held within, "Qorimayus, a new genus of relictual, high-altitude harvestmen from western Argentina (Arachnida, Opiliones, Gonyleptidae) reveals trans-Andean phylogenetic links". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/c31e76f5-34bc-48e9-91d2-e0f225ebda09">https://bionomia.net/dataset/c31e76f5-34bc-48e9-91d2-e0f225ebda09</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/c31e76f5-34bc-48e9-91d2-e0f225ebda09">https://gbif.org/dataset/c31e76f5-34bc-48e9-91d2-e0f225ebda09</a>. Formatted as a Frictionless Data package.
Linked collectors and determiners for: A new high-altitude species of centipede from the Andes of Ecuador (Chilopoda, Geophilomorpha, Schendylidae).
Natural history specimen data linked to collectors and determiners held within, "A new high-altitude species of centipede from the Andes of Ecuador (Chilopoda, Geophilomorpha, Schendylidae)". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/c26ef882-a4b3-4d52-9b9a-9613c5d26680">https://bionomia.net/dataset/c26ef882-a4b3-4d52-9b9a-9613c5d26680</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/c26ef882-a4b3-4d52-9b9a-9613c5d26680">https://gbif.org/dataset/c26ef882-a4b3-4d52-9b9a-9613c5d26680</a>. Formatted as a Frictionless Data package.
Linked collectors and determiners for: Leaf-mining Nepticulidae (Lepidoptera) from record high altitudes: documenting an entire new fauna in the Andean páramo and puna.
Natural history specimen data linked to collectors and determiners held within, "Leaf-mining Nepticulidae (Lepidoptera) from record high altitudes: documenting an entire new fauna in the Andean páramo and puna". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/7f55813e-d9fb-47d1-ae70-4207ea726e64">https://bionomia.net/dataset/7f55813e-d9fb-47d1-ae70-4207ea726e64</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/7f55813e-d9fb-47d1-ae70-4207ea726e64">https://gbif.org/dataset/7f55813e-d9fb-47d1-ae70-4207ea726e64</a>. Formatted as a Frictionless Data package.
Linked collectors and determiners for: Anticyphon gen. nov., a new genus of Scirtidae (Coleoptera: Scirtoidea) inhabiting high altitude Andean cloud forests and páramo formation.
Natural history specimen data linked to collectors and determiners held within, "Anticyphon gen. nov., a new genus of Scirtidae (Coleoptera: Scirtoidea) inhabiting high altitude Andean cloud forests and páramo formation". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/55c6a2a3-cf2b-41df-bb10-ee4ba1d423c3">https://bionomia.net/dataset/55c6a2a3-cf2b-41df-bb10-ee4ba1d423c3</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/55c6a2a3-cf2b-41df-bb10-ee4ba1d423c3">https://gbif.org/dataset/55c6a2a3-cf2b-41df-bb10-ee4ba1d423c3</a>. Formatted as a Frictionless Data package.
Sampled Encounters of Low Altitude Manned Aircraft
<p><strong>Summary</strong></p> <p>Paired encounters between two manned aircraft based on samples from Bayesian dynamic models of aircraft behavior. The encounters are uncorrelated in the sense that it is assumed that air traffic control services are not being provided during the encounter.</p> <p><strong>Description</strong></p> <p>For many aviation safety studies, aircraft behavior is represented using encounter models, which are statistical models of how aircraft behave during close encounters. They are used to provide a realistic representation of the range of encounter flight dynamics where an aircraft collision avoidance system would be likely to alert. These models represent aircraft behavior (rates) during the course of the encounter with other aircraft. Encounter models have been developed for many different manned operational contexts. For more details on encounter models, please refer to the overview on the Airspace Encounter Models GitHub organization: <a href="https://github.com/Airspace-Encounter-Models/em-overview">https://github.com/Airspace-Encounter-Models/em-overview</a>.</p> <p>The Bayesian models were sourced from <a href="https://github.com/Airspace-Encounter-Models/em-model-manned-bayes/tree/v1.3">v1.3 of the em-model-manned-bayes </a>repository while<a href="https://github.com/Airspace-Encounter-Models/em-pairing-uncor-importancesampling/tree/v1.2"> v1.2 of em-pairing-uncor-importancesampling</a> contained the software to pair samples from the Bayesian models to create encounters. This dataset contains 1.6 million encounters across 18 different encounter sets, each consisting of 100,000 unique encounters. The encounters were generated in June 2021. Please refer to the software for details on the format and variables for each encounter.</p> <p>The dataset is provided as a single .zip archive with multiple directories. Simply download the .zip file and extract. An excel file with two sheets are document the configuration parameters. The first sheet reports the tradespace and configurations for each encounter set. The model files correspond to Bayesian models from em-model-manned-bayes, while <em>tCPA</em> and <em>sample_time</em> are encounter parameters from em-pairing-uncor-importancesampling. The <em>tCPA </em>variable the desired time at which the closest point of approach occurs and <em>sample_time</em> variable is the desired total duration of the encounter in seconds. The <em>sample_time</em> value must be greater than <em>tCPA</em>. The other sheet, <em>fixed_paramters</em>, documents the fixed encounter parameters. The minimum initial horizontal and vertical separation requirements were defined by <em>R_min</em> and <em>H_min</em>. The bin edges and desired proportions defined the importance sampling criteria for the horizontal miss distance (HMD) and vertical miss distance (VMD) at the closest point of approach. The <em>encIds</em> denote that 100,000 encounters were generated for each set and that the random seed (<em>randSeed</em>) was set to one.</p> <p><strong>Distribution Statement</strong></p> <p>DISTRIBUTION STATEMENT A. Approved for public release. Distribution is unlimited.</p> <p>© 2021 Massachusetts Institute of Technology.</p> <p>Delivered to the U.S. Government with Unlimited Rights, as defined in DFARS Part 252.227-7013 or 7014 (Feb 2014). Notwithstanding any copyright notice, U.S. Government rights in this work are defined by DFARS 252.227-7013 or DFARS 252.227-7014 as detailed above. Use of this work other than as specifically authorized by the U.S. Government may violate any copyrights that exist in this work.</p> <p>This material is based upon work supported by the Federal Aviation Administration under Air Force Contract No. FA8702-15-D-0001. Any opinions, findings, conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the Federal Aviation Administration.</p> <p>This document is derived from work done for the FAA (and possibly others); it is not the direct product of work done for the FAA. The information provided herein may include content supplied by third parties. Although the data and information contained herein has been produced or processed from sources believed to be reliable, the Federal Aviation Administration makes no warranty, expressed or implied, regarding the accuracy, adequacy, completeness, legality, reliability or usefulness of any information, conclusions or recommendations provided herein. Distribution of the information contained herein does not constitute an endorsement or warranty of the data or information provided herein by the Federal Aviation Administration or the U.S. Department of Transportation. Neither the Federal Aviation Administration nor the U.S. Department of Transportation shall be held liable for any improper or incorrect use of the information contained herein and assumes no responsibility for anyone’s use of the information. The Federal Aviation Administration and U.S. Department of Transportation shall not be liable for any claim for any loss, harm, or other damages arising from access to or use of data or information, including without limitation any direct, indirect, incidental, exemplary, special or consequential damages, even if advised of the possibility of such damages. The Federal Aviation Administration shall not be liable to anyone for any decision made or action taken, or not taken, in reliance on the information contained herein.</p>
Figure 1 in Distribution of microarthropods across altitude and aspect in the sub-Antarctic: climate change implications for an isolated oceanic island
Figure 1 Interaction plots of mite and springtail species richness (S) and abundance (N) at low, middle and high altitudes on the eastern and western aspect of Marion Island (weighted means ± 95 % confidence intervals). Groups not sharing letters differ significantly (p <0.05). Model results provided in Table 2 and Appendix 2.
Text-fig. 2. Fossiliferous localities in the Ashawq Formation north and north-east of Thaytiniti, Dhofar Governorate, Oman (for latitude, longitude and altitude, see App. 1). The large white area either side of the north-south road is the village of Aydim (map modified from Google Earth). in Large Mammals From The Rupelian Of Oman - Recent Finds
Text-fig. 2. Fossiliferous localities in the Ashawq Formation north and north-east of Thaytiniti, Dhofar Governorate, Oman (for latitude, longitude and altitude, see App. 1). The large white area either side of the north-south road is the village of Aydim (map modified from Google Earth).
Fig. 5 in Distribution patterns and trophic characteristics of salmonids and native species inhabiting high altitude rivers of Pampa de Achala region, Argentina
Fig. 5. Dendrogram of diet similitude of Trichomycterus corduvensis (TC), Salvelinus fontinalis (SF) and Oncorhynchus mykiss (OM) in high altitude streams in Pampa de Achala area, Córdoba.
Fig. 6 in Distribution patterns and trophic characteristics of salmonids and native species inhabiting high altitude rivers of Pampa de Achala region, Argentina
Fig. 6. Graphic representation of Tokeshi analysis. ID = mean individual feeding diversity; PD = population feeding diversity. a) Trichomycterus corduvensis, b) Salvelinus fontinalis, and c) Oncorhynchus mykiss. Numbers correspond to streams from Table 1.
Fig. 1 in Distribution patterns and trophic characteristics of salmonids and native species inhabiting high altitude rivers of Pampa de Achala region, Argentina
Fig. 1. Sampling sites and surveyed rivers in the Reserva Provincial Pampa de Achala and Quebrada del Condorito National Park.
ScienceDex guides
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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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DANDI Archive for NWB datasets
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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.