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Georgia Coastal Ecosystems site, station Georgia Coastal Ecosystem LTER Study Site 2, Four Mile Island, GA, study of animal density of Crassostrea virginica in units of numberPerMeterSquared on a yearly timescale
The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Georgia Coastal Ecosystems (GCE) contains animal density of Crassostrea virginica measurements in numberPerMeterSquared units and were aggregated to a yearly timescale.
Georgia Coastal Ecosystems site, station Georgia Coastal Ecosystem LTER Study Site 2, Four Mile Island, GA, study of animal density of Polymesoda caroliniana in units of numberPerMeterSquared on a yearly timescale
The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Georgia Coastal Ecosystems (GCE) contains animal density of Polymesoda caroliniana measurements in numberPerMeterSquared units and were aggregated to a yearly timescale.
Georgia Coastal Ecosystems site, station Georgia Coastal Ecosystem LTER Study Site 2, Four Mile Island, GA, study of animal density of Gemma gemma in units of numberPerMeterSquared on a yearly timescale
The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Georgia Coastal Ecosystems (GCE) contains animal density of Gemma gemma measurements in numberPerMeterSquared units and were aggregated to a yearly timescale.
Georgia Coastal Ecosystems site, station Georgia Coastal Ecosystem LTER Study Site 2, Four Mile Island, GA, study of animal density of Decapoda in units of numberPerMeterSquared on a yearly timescale
The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Georgia Coastal Ecosystems (GCE) contains animal density of Decapoda measurements in numberPerMeterSquared units and were aggregated to a yearly timescale.
Long-term relationships between seed banks and wildfire across four North American desert sites
It is well documented that the recovery of dryland plant communities following wildfire can be variable, and that legacies of fire can have long lasting effects on aboveground plant communities. However, our understanding of the degree to which dryland soil seed banks, or the viable seeds in situ, are impacted by fire and their subsequent post-fire succession remains extremely poor. To address this important knowledge gap, we used a time-since-fire approach to investigate soil seed bank community changes approximately 15 and 30 years after wildfire and to determine the influence of microsites (e.g., shrub vs. interspace) on seed bank composition. We assessed soil seed bank metrics across four North American deserts, including two cold desert sites (Colorado Plateau and Great Basin) and two warm desert sites (Chihuahuan and Sonoran). In greenhouse emergence trials, we found that seed bank characteristics diverged between warm and cold desert sites, such that warm desert sites had seed banks dominated by annual plants while our cold desert sites had seed banks with greater proportions of perennial species, regardless of fire history. In cold desert sites, fire significantly altered seed bank species composition even 30 years after fire. Shrub versus interspace microsites had no observed influence on seed bank composition in any desert. However, seed bank species richness was greater under shrubs in both warm deserts. Non-native species were present in the seed banks of all deserts, and some were particularly abundant in the burned sites. Despite the presence of native species in both burned and unburned seed banks, the presence of non-native species suggests some degree of vulnerability to future disturbances because fire can create positive feedbacks with many non-native plants. Our results highlight strong differences in fires’ relationship with seed banks for warm and cold desert sites and lend insight into how fire relates to the composition and diversity of the s
Weekly biomass and abundance of sweepnet-captured aboveground arthropods at four sites near Toolik Field Station, Alaska, summers 2010-2014
The abundance and dry biomass of canopy-dwelling arthropods (insects and small spiders) was tracked over five summers (2010-2014) at four sites near Toolik Field Station, Alaska. At each site, a shrub-dominant and tussock-tundra habitat was chosen for sampling, for a total of 8 sampling locations. At each sampling location, a 100-meter transect was established. Arthropods were sampled along the transect weekly by passing a sweepnet through and over the vegetation. After killing the arthropods with pest strips and freezing, they were sorted from the associated leaf litter and counted. Dry biomass of the arthorpods was estimated in one of two was: using family-level identification, digital microscope measurement, and published allometric length-mass equations; or, arthropds were weighed directly on a microbalance following 48 hours in a drying oven at 50°C.
FIGURE 14 in Four new species of Plumachaetas Salmon (Collembola: Entomobryoidea) from Oceania with comments on the genus and a key to species
FIGURE 14. Plumachaetas spp. legs and distal furca: A‒D, trochanteral organ: A, P. belae sp. nov.; B, P. loriensis sp. nov.; C, P. mamuensis sp. nov.; D, P. wanangensis sp. nov.; E‒H, Leg III empodial complex: E, P. belae sp. nov.; F, P. loriensis sp. nov.; G, P. mamuensis sp. nov.; H, P. wanangensis sp. nov.; I‒J, mucro: I, P. belae sp. nov., P. loriensis sp. nov., and P. mamuensis sp. nov.; J, P. wanangensis sp. nov. The arrows provide information about the body orientation of the studied specimen.
FIGURE 12. Plumachaetas spp. dorsal Abd. V in Four new species of Plumachaetas Salmon (Collembola: Entomobryoidea) from Oceania with comments on the genus and a key to species
FIGURE 12. Plumachaetas spp. dorsal Abd. V chaetotaxy: A, P. belae sp. nov.; B, P. loriensis sp. nov.; C, P. mamuensis sp. nov.; D, P. wanangensis sp. nov.
FIGURE 13 in Four new species of Plumachaetas Salmon (Collembola: Entomobryoidea) from Oceania with comments on the genus and a key to species
FIGURE 13. Plumachaetas spp. ventral tube anterior and posterior faces plus lateral flap, respectively: A‒C, P. belae sp. nov.; D‒F, P. loriensis sp. nov.; G–I, P. mamuensis sp. nov.; J–L, P. wanangensis sp. nov.
FIGURE 10. Plumachaetas spp. dorsal Abd. I and II in Four new species of Plumachaetas Salmon (Collembola: Entomobryoidea) from Oceania with comments on the genus and a key to species
FIGURE 10. Plumachaetas spp. dorsal Abd. I and II chaetotaxy, respectively: A–B, P. belae sp. nov.; C‒D, P. loriensis sp. nov.; E‒F, P. mamuensis sp. nov.; G–H, P. wanangensis sp. nov.
FIGURE 9 in Four new species of Plumachaetas Salmon (Collembola: Entomobryoidea) from Oceania with comments on the genus and a key to species
FIGURE 9. Plumachaetas spp. dorsal Th. II and III chaetotaxy, respectively: A–B, P. belae sp. nov.; C‒D, P. loriensis sp. nov.; E‒F, P. mamuensis sp. nov.; G–H, P. wanangensis sp. nov.
FIGURE 6 in Four new species of Plumachaetas Salmon (Collembola: Entomobryoidea) from Oceania with comments on the genus and a key to species
FIGURE 6. Plumachaetas spp. labium and maxillary outer lobe: A, labial palp (right side): P. belae sp. nov., P. loriensis sp. nov., P. mamuensis sp. nov.. and P. wanangensis sp. nov.; B‒E, Labial basolateral and basomedial fields: B, P. belae sp. nov.; C, P. loriensis sp. nov.; D, P. mamuensis sp. nov.; E, P. wanangensis sp. nov.; F–I, maxillary outer lobe (a.a.= apical appendage; b.c.= subapical appendage): F, P. belae sp. nov.; G, P. loriensis sp. nov.; H, P. mamuensis sp. nov.; I, P. wanangensis sp. nov. The arrows provide information about the body orientation of the studied specimen.
FIGURE 5 in Four new species of Plumachaetas Salmon (Collembola: Entomobryoidea) from Oceania with comments on the genus and a key to species
FIGURE 5. Plumachaetas spp. antennae and labrum: A‒B, Ant. IV distal tip: A, P. belae sp. nov. and P. wanangensis sp. nov.; B, P. loriensis sp. nov. and P. mamuensis sp. nov.; C, Ant. III apical sense organ: P. belae sp. nov., P. loriensis sp. nov., P. mamuensis sp. nov., and P. wanangensis sp. nov.; D‒G, Ant. I dorsal mac: D, P. belae sp. nov.; E, P. loriensis sp. nov.; F, P. mamuensis sp. nov.; G, P. wanangensis sp. nov.; H‒I, labrum chaetotaxy: H, P. belae sp. nov., P. loriensis sp. nov., and P. mamuensis sp. nov.; I, P. wanangensis sp. nov. The arrows provide information about the body orientation of the studied specimen.
FIGURE 1 in Four new species and some new records of Brazilian frog-biting midges (Diptera Corethrellidae)
FIGURE 1. Corethrella munteantaroku sp. n., adult male. A, head in anterior view. B, thorax and legs in lateral view. C, wing. D, abdomen in dorsal view.
FIGURE 8 in Four new species and some new records of Brazilian frog-biting midges (Diptera Corethrellidae)
FIGURE 8. Corethrella cambirela sp. n., adult female. A, head in anterior view. B, thorax and legs in lateral view. C, wing. D, abdomen in lateral view.
FIGURE 6 in Four new species and some new records of Brazilian frog-biting midges (Diptera Corethrellidae)
FIGURE 6. Corethrella cambirela sp. n., adult male. A, head in anterior view. B, thorax in lateral view. C, tergites 6–9 and genitalia.
FIGURE 3 in Four new species and some new records of Brazilian frog-biting midges (Diptera Corethrellidae)
FIGURE 3. Corethrella xokleng sp. n., adult male. A, head in anterior view. B, thorax in lateral view. C, tergites 7–9 and genitalia.
FIGURE 2 in Four new species of Plumachaetas Salmon (Collembola: Entomobryoidea) from Oceania with comments on the genus and a key to species
FIGURE 2. Plumachaetas belae sp. nov. general morphology: A, empodial complex I; B, ventral tube anterior face; C, ventral tube sac papillae; red = ventral tube papillae D, ventral tube posterior face; E, tenaculum; F, dorso-lateral furca; G, distal dens and mucro (ventro-internal view); H, distal dens and mucro (dorso-internal view).
FIGURE 4 in Four new species of Plumachaetas Salmon (Collembola: Entomobryoidea) from Oceania with comments on the genus and a key to species
FIGURE 4. Symbols used to chaetotaxy schemes: A, pseudopore; B, specialised microchaeta (ms); C, specialised ordinary chaeta (sens); D, ordinary sensillum of antennal segments; E, accessory sensillum of Ant. III apical sense organ; F, posterior head spine-like chaetae; G, scale; H, bothriotrichum; I, microchaeta; J, mesochaeta; K, different shapes of macrochaetae.
FIGURE 7 in Four new species of Plumachaetas Salmon (Collembola: Entomobryoidea) from Oceania with comments on the genus and a key to species
FIGURE 7. Plumachaetas spp. ventral head (left side): A, P. belae sp. nov.; B, P. loriensis sp. nov.; C, P. mamuensis sp. nov.; D, P. wanangensis sp. nov.
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
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.