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142 results for “Neon”
High-pressure X-ray diffraction data for arsenolite at neon used as pressure transmitting medium
<p>High-pressure x-ray diffraction data for arsenolite at the European Synchrotron Radiation Facility using neon as pressure transmitting medium.</p>
Figure 28. Neon. 1 in Jumping spider scales (Araneae: Salticidae)
Figure 28. Neon. 1, Male Neon sp. 2, SEM, setiform scales on opisthosoma of female N. minutus ZOabka 1985. 3, SEM, setiform scales on carapace of female N. reticulatus (Blackwall 1853). 4-5, SEM, setiform scales on carapace (4) and opisthosoma (5) of female N. sumatranus Logunov 1998. Attribution and ©: 1, OQscar Mendez; 2-5, Dimitri V. Logunov.
Data from: Building communities of teaching practice and data-driven open education resources with NEON faculty mentoring networks
Open the record for dataset details and reuse information.
EDI and NEON dataset descriptions and coverage to support the paper "ecocomDP: A flexible data design pattern for ecological community survey data"
This dataset contains an inventory for the paper entitled "ecocomDP: A flexible data design pattern for ecological community survey data" (O'Brien et al), submitted to Ecological Informatics. The paper describes an approach for harmonizing and reformatting community survey data such as organism abundance or cover measurements. Data currently using this data model and workflow approach are from the repository of the Environmental Data Initiative (EDI), the Long Term Ecological Research (LTER) Network, and the National Ecological Observatory Network (NEON). Data were assembled for this analysis in late 2020. The inventory is composed of two tables, describing data from EDI (including LTER) and data from NEON. The EDI inventory includes information for 70 datasets: identifiers for both the original and converted datasets, and basic coverage information such as temporal coverage (range of years and a measurement of sampling evenness), spatial coverage (maximum bounding coordinates and area of the "bounding box"), and taxonomic coverage (taxonomic classes). The NEON inventory contains information from 11 continent-wide NEON data products, divided into individual field sites to be more spatially compatible with EDI and LTER data. Taxonomic coverage is by group (e.g., algae, birds) rather than explicit taxonomic classes. Spatial coverage is the area of a field sampling site polygon. Temporal coverage includes the same minimum and maximum sampling years and temporal evenness measures as for the EDI data plus a count of months during that period when sampling occurred. At the time of data download, NEON data was considered provisional, however identifiers are persistent and now deliver final, "released" data. Also included in the data package is a script to reformat inventory data and create Figure 3 of the paper.
Solid-liquid coexistence of neon, argon, krypton, and xenon
<p>Data for the publications "Solid-liquid coexistence of neon, argon, krypton, and xenon" by Aditya N. Singh, Jeppe C. Dyre and Ulf R. Pedersen.</p>
FIGURES 25–30. Neon. Neon australis n in New unidentate jumping spider genera (Araneae: Salticidae) from Australia
FIGURES 25–30. Neon. Neon australis n. sp. 25 dorsal view (male); 26 anterior view of face showing cypeal 'moustache' of guanine crystals; 27–29 male palp (27 posterior lateral view, 28 ventral view, 29 anterior lateral view); 30 map showing the geographical distribution of Neon australis (■) and Neon taylori (▲).The predicted distribution of N. taylori is also shown. Scale: total body 1 mm; remainder 0.2 mm.
FIGURES 31–37. Neon taylori n in New unidentate jumping spider genera (Araneae: Salticidae) from Australia
FIGURES 31–37. Neon taylori n. sp. 31–32 dorsal view (31 female, 32 male); 33–34 female genitalia (33 ventral view of external characteristics, 34 dorsal view of cleared specimen); 35–37 male palp (35 posterior lateral view, 36 ventral view, 37 anterior lateral view). Scale: total body 1 mm; remainder 0.2 mm.
NEON Neuro-Symbolic Dataset
<p>This is the dataset used in the experiments from the manuscript</p> <blockquote> <p>Harmon, I., Weinstein, B., Bohlman, S., White, E., & Wang, D. Z. (2024). A Neuro-Symbolic Framework for Tree Crown Delineation and Tree Species Classification. Remote Sensing, 16(23), 4365. <a href="https://doi.org/10.3390/rs16234365">https://doi.org/10.3390/rs16234365</a></p> </blockquote> <p> This dataset is the RGB images combined with canopy height models (CHM) for the NEON sites NIWO and TEAK. The TEAK data is from the following publication:</p> <blockquote> <p>Geoffrey A Fricker, Jonathan Daniel Ventura, Jeffrey Wolf, Malcolm P. North, Frank W. Davis, & Janet Franklin. (2019). A Convolutional Neural Network classifier identifies tree species in mixed-conifer forest from hyperspectral imagery [Data set]. In Remote Sensing. Zenodo. <a href="https://doi.org/10.5281/zenodo.3463589" target="_blank" rel="noopener">https://doi.org/10.5281/zenodo.3463589</a>.</p> </blockquote>
NEON forest and woodland plots: diversity, structure and climate
<p>We combined climate variables with field measurements and airborne lidar from all forest and woodland plots in the National Ecological Observatory Network (NEON) to characterize the role of climate in constraining biodiversity – forest structure relationships across the United States. </p>
Subspecies and Distribution. P.l.leucopusRafinseque,1818—SEUSA. P.l.affinis].A.Allen,1891—EOaxacaandSVeracruz,Mexico. P.l.ammodytesBangs,1905—knownonlyfromManomoyI,Massachusetts,USA. P.l.aridulusOsgood,1909—fromSESaskatchewanandSAlberta,Canada,StoNWKansas,USA.P.lLarizonae].A.Allen,1894—fromSEArizonaandSWNewMexico,USA,StoCDurango,Mexico. P.l.castaneusOsgood,1904—WYucatanPeninsula,Mexico. P.l.caudatusR.W.Smith,1939—SNovaScotia,Canada. P.l.cozumelaeMerriam,1901—CozumelI,Mexico. P.l.eastiParadiso,1960—knownonlyfromthetypelocalityandsurroundingareainSEVirginia,USA. P.l.fususBangs,1905—knownonlyfromMartha'sVineyardIandNantucketI,Massachusetts,USA. P.l.incensusGoldman,1942—fromWVeracruzSthroughPueblatoNOaxaca,Mexico. P.l.lachiguiriensisGoodwin,1956—knownonlyfromthetypelocalityandimmediatesurroundingareainSCOaxaca,Mexico. P.l.mesomelasOsgood,1904—fromextremeSESanLuisPotosiStoSVeracruz,Mexico. P.l.noveboracensis|].B.Fischer,1829—NEone-fourthofUSA. P.l.ochraceusOsgood,1909—CArizona,USA. P.l. texanus Woodhouse, 1853 — from NC Texas, USA, S to SE San Luis Potosi, Mexico. PL. tornillo Mearns, 1896 — from SE Colorado and SW Kansas S to W Texas, USA, and extreme N Chihuahua, Mexico. in Cricetidae
Subspecies and Distribution. P.l.leucopusRafinseque,1818—SEUSA. P.l.affinis].A.Allen,1891—EOaxacaandSVeracruz,Mexico. P.l.ammodytesBangs,1905—knownonlyfromManomoyI,Massachusetts,USA. P.l.aridulusOsgood,1909—fromSESaskatchewanandSAlberta,Canada,StoNWKansas,USA.P.lLarizonae].A.Allen,1894—fromSEArizonaandSWNewMexico,USA,StoCDurango,Mexico. P.l.castaneusOsgood,1904—WYucatanPeninsula,Mexico. P.l.caudatusR.W.Smith,1939—SNovaScotia,Canada. P.l.cozumelaeMerriam,1901—CozumelI,Mexico. P.l.eastiParadiso,1960—knownonlyfromthetypelocalityandsurroundingareainSEVirginia,USA. P.l.fususBangs,1905—knownonlyfromMartha'sVineyardIandNantucketI,Massachusetts,USA. P.l.incensusGoldman,1942—fromWVeracruzSthroughPueblatoNOaxaca,Mexico. P.l.lachiguiriensisGoodwin,1956—knownonlyfromthetypelocalityandimmediatesurroundingareainSCOaxaca,Mexico. P.l.mesomelasOsgood,1904—fromextremeSESanLuisPotosiStoSVeracruz,Mexico. P.l.noveboracensis|].B.Fischer,1829—NEone-fourthofUSA. P.l.ochraceusOsgood,1909—CArizona,USA. P.l. texanus Woodhouse, 1853 — from NC Texas, USA, S to SE San Luis Potosi, Mexico. PL. tornillo Mearns, 1896 — from SE Colorado and SW Kansas S to W Texas, USA, and extreme N Chihuahua, Mexico.
Supporting data for "Collisional alignment and molecular rotation control the chemi-ionization of individual conformers of hydroquinone with metastable neon"
Open the record for dataset details and reuse information.
Images of pinned carabids from the NEON Biorepository
<p>This dataset contains two groups of images of specimens held in the NEON Biorepository:</p> <p>https://biorepo.neonscience.org/portal/collections/misc/collprofiles.php?collid=39</p> <p>The images are also available from the portal and are linked to the corresponding specimen record in the collection above.</p> <p>The folder titles "JORN" is a near-complete set of species colleced by NEON at the Jornada field site in New Mexico. The folder titled "Carabid data" is a pared down version of 5 large species of carabids that do not all occur in the same place.</p> <p>This dataset was used to generate the models in this project: https://github.com/mandrewj/AI-carabids</p> <p> </p> <p>The smaller dataset is more useful for a proof-of-concept model development, and the JORN dataset is better for testing a practical solution where one could use computer vision to identify all carabids from a single field site (though this field site is among the lowest species diversity of all NEON sites).</p>
NEON UX results
<p>Answers from Las Cabezas to questionnaire</p>
FIGURE 4 in Fishes as living tracers of connectivity in the tropical western North Atlantic: I. Distribution of the neon gobies, genus Elacatinus (Pisces: Gobiidae)
FIGURE 4. Geographic distribution of Suite 2 Elacatinus: coral-dwelling, cleaning species with subterminal mouth position.
FIGURE 3 in Fishes as living tracers of connectivity in the tropical western North Atlantic: I. Distribution of the neon gobies, genus Elacatinus (Pisces: Gobiidae)
FIGURE 3. Tropical western North Atlantic species of Suite 2 Elacatinus: coral-dwelling, cleaning species with subterminal mouth position. A. Elacatinus sp. 1 (Cayman Islands), B. E. genie (Bahamas), C. E. randalli (photo J.E. Randall), D. E. prochilos (Barbados).
FIGURE 2 in Fishes as living tracers of connectivity in the tropical western North Atlantic: I. Distribution of the neon gobies, genus Elacatinus (Pisces: Gobiidae)
FIGURE 2. Geographic distribution of Suite 1 Elacatinus: coral-dwelling, cleaning species with inferior mouth position.
FIGURE 1 in Fishes as living tracers of connectivity in the tropical western North Atlantic: I. Distribution of the neon gobies, genus Elacatinus (Pisces: Gobiidae)
FIGURE 1. Tropical western North Atlantic species of Suite 1 Elacatinus: coral-dwelling, cleaning species with inferior mouth position. A. Elacatinus oceanops (Florida), B. E. " lobeli" (Belize), C. E. evelynae (white form-Jamaica), D. E. evelynae (yellow-blue form-Bahamas), E. E. evelynae (yellow form-NE Bahamas), F. E. illecebrosus (yellow form- Panama), G. E. illecebrosus (blue form-Colombia)(Photo-C. Roesler).
FIGURE 5 in Fishes as living tracers of connectivity in the tropical western North Atlantic: I. Distribution of the neon gobies, genus Elacatinus (Pisces: Gobiidae)
FIGURE 5. Tropical western North Atlantic species of Suite 3 Elacatinus: shallow water sponge-dwelling species. A. Elacatinus chancei (Bahamas), B. E. horsti (yellow form-Curacao), C. E. horsti (white form-Jamaica), D. E. lori (Belize)(Photo J.E. Randall), E. E. xanthiprora (yellow form-Florida), F. E. serranilla (Serranilla Bank), G. E. colini (Belize)(photo P.S. Lobel).
FIGURE 9 in Fishes as living tracers of connectivity in the tropical western North Atlantic: I. Distribution of the neon gobies, genus Elacatinus (Pisces: Gobiidae)
FIGURE 9. Tropical western North Atlantic species of Suite 5 Elacatinus: hovering planktivores. A. Elacatinus atronasus (dorsal aspect-Bahamas), B. E. atronasus (Bahamas), C. E. jarocho (Veracruz, Mexico)(photo by L. Akins).
Monitoring small mammal abundance using NEON data: Are calibrated indices useful?
<p>Small mammals are important to the functioning of ecological communities with changes to their abundances used to track impacts of environmental change. While capture-recapture estimates of absolute abundance are preferred, indices of abundance continue to be used in cases of limited sampling, rare species with little data, or unmarked individuals. Improvement to indices can be achieved by calibrating them to absolute abundance but their reliability across years, sites, or species is unclear. To evaluate this, we used the US National Ecological Observatory Network (NEON) capture-recapture data for 63 small mammal species over 46 sites from 2013–2019. We generated 17,155 absolute abundance estimates using capture-recapture analyses and compared these to two standard abundance indices, and three types of calibrated indices. We found that neither raw abundance indices nor index calibrations were reliable approximations of absolute abundance, with raw indices less correlated with absolute abundance than index calibrations (raw indices overall R<sup>2</sup> < 0.5, index calibration overall R<sup>2</sup> > 0.6). Performance of indices and index calibrations varied by species, with those having higher and less variable capture probabilities performing best. We conclude that indices and index calibration methods should be used with caution with a count of individuals being the best index to use, especially if it can be calibrated with capture probability. None of the indices we tested should be used for comparing different species due to high variation in capture probabilities. Hierarchical models that allow for sharing of capture probabilities over species or plots (i.e., joint likelihood models) may offer a better solution to mitigate the cost and effort of large-scale small mammal sampling while still providing robust estimates of abundance.</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
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.