Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
84
datasets available to search
ShareScore release 0.9.0
Dataset results
84 results for “White Sands”
Carbon exchange responses of rehydrated and incubated biological soil crust samples from White Sands National Park in 2020-2022
This dataset contains photosynthetic light response data from biological soil crusts collected from a gypsum sand sheet at White Sands National Park, NM, USA in three different seasons. This study aims to 1) assess the carbon fixation capacity of biocrust types; 2) assess biocrust carbon fixation response under varying incubation times; 3) and understand variability in carbon fixation response in different seasons. Sample collection occurred in July 2020 (summer), September 2021 (fall), and March 2022 (winter). The biocrust types of interest were light cyanobacterial, dark cyanobacterial, Peltula lichen, Clavascidium lichen, and moss crusts. Samples were collected with the intention of taking carbon fixation measurements after different incubation periods (30 min, 2 hr, 6 hr, 12hr, or 24 hr in 2020, and 30 min, 2 hr, 6 hr, 12hr, 24 hr, or 36 hr in 2021 and 2022). For each condition (biocrust type and incubation time) there were five replicates in 2020 (total n=125) and ten replicates in 2021 and 2022 (total n=300). After collection, the intact samples were re-wetted and subjected to their respective incubation period and measured for photosynthetic response. The resulting light response curves and photosynthetic information was be used for comparing biocrust type, incubation time response differences, and seasonal variation to understand variability of biocrust carbon flux response at a single site. This data set includes the light response curve values and photosynthetic data calculated from these curves and raw LICOR output files compiled into 3 spreadsheet files. The included 2020 data is also associated with the White Sands National Park data from Jornada Study 549. This dataset accompanies the in-press article by Hoellrich et al. (2023) cited below, and the study is now complete. Hoellrich, Mikaela R., Darren K. James, David Bustos, Anthony Darrouzet-Nardi, Louis S. Santiago, and Nicole Pietrasiak. "Biocrust carbon exchange varies with crust type and time on Ch
Figures 19-20. 19 in The Lepidoptera of White Sands National Monument, Otero County, New Mexico, USA 1. Two new species of Noctuidae (Lepidoptera, Noctuinae, Agrotini)
Figures 19-20. 19. White dunes habitat of type locality of Euxoa lafontainei and Protogygia whitesandsensis. 20. Distribution map for Euxoa lafontainei and Protogygia whitesandsensis.
Figures 10-12 in The Lepidoptera of White Sands National Monument, Otero County, New Mexico, USA 1. Two new species of Noctuidae (Lepidoptera, Noctuinae, Agrotini)
Figures 10-12. Female genitalia of Euxoa species. 10. E. lafontainei paratype. 11. E. simulata. 12. E. medialis.
Figures 7-9 in The Lepidoptera of White Sands National Monument, Otero County, New Mexico, USA 1. Two new species of Noctuidae (Lepidoptera, Noctuinae, Agrotini)
Figures 7-9. Male genitalia of Euxoa species: a-valves, b-aedeagus with vesica everted. 7. E. lafontainei paratype. 8. E. simulata. 9. E. medialis.
Figures 1-6 in The Lepidoptera of White Sands National Monument, Otero County, New Mexico, USA 1. Two new species of Noctuidae (Lepidoptera, Noctuinae, Agrotini)
Figures 1-6. Adults of Euxoa species. 1. E. lafontainei, male paratype. 2. E. lafontainei, male paratype. 3. E. misturata, male. 4. E. tronellus, female. 5. E. simulata, male. 6. E. medialis, male.
Figures 17-18 in The Lepidoptera of White Sands National Monument, Otero County, New Mexico, USA 1. Two new species of Noctuidae (Lepidoptera, Noctuinae, Agrotini)
Figures 17-18. Male genitalia of Protogygia species: a-valves, b-aedeagus with vesica everted. 17. P. whitesandsensis, paratype. 18. P. pectinata.
Text-fig. 3. Schematic geological section of the Kristina Mine near Hrádek/N. (state in 1963–1964) – height/length ratio 3:1. Explanations: vertical hatching – lignite seam, seamlet; dotted – coarse-grained sand, pea-gravel; short lines – sandy clay; white – clay; black lines – clay ironstone concretions; black dots – individual fossiliferous horizons designated as (A) plastic clay from the upper part of the main xylitic seam (about 5 m under t of the seam, (B) clay and "Blätterkohle" from the uppermost part of the first seamlet (split off the Main Coal Seam), (C) slightly sandy brown clay under the uppermost part of the Main Coal Seam, (D) base of the sandy clay with large concretions of the clay ironstone above the Main Coal Seam, (E) sandy clay (incl. clay ironstone) supplying most of leaf material with cuticles (F) 1–2 cm thin silty lenticles or thin beds of the sandy clay with xylites and Eomastixia within peagravels and coarse-grained sands, (G) coarse-grained sands with clayish silts with Fagus, Ocotea, Pterocarya, Tectocarya, (H) brown sandy clay underlying the uppermost seamlet, (I) lignite clay, base of the uppermost seamlet (J) Glyptostrobus – "Blätterkohle", base of the uppermost seamlet (according to Holý 1975, modified). in A Review Of The Early Miocene Mastixioid Flora Of The Kristina Mine At Hrádek Nad Nisou In North Bohemia (The Czech Republic)
Text-fig. 3. Schematic geological section of the Kristina Mine near Hrádek/N. (state in 1963–1964) – height/length ratio 3:1. Explanations: vertical hatching – lignite seam, seamlet; dotted – coarse-grained sand, pea-gravel; short lines – sandy clay; white – clay; black lines – clay ironstone concretions; black dots – individual fossiliferous horizons designated as (A) plastic clay from the upper part of the main xylitic seam (about 5 m under t of the seam, (B) clay and "Blätterkohle" from the uppermost part of the first seamlet (split off the Main Coal Seam), (C) slightly sandy brown clay under the uppermost part of the Main Coal Seam, (D) base of the sandy clay with large concretions of the clay ironstone above the Main Coal Seam, (E) sandy clay (incl. clay ironstone) supplying most of leaf material with cuticles (F) 1–2 cm thin silty lenticles or thin beds of the sandy clay with xylites and Eomastixia within peagravels and coarse-grained sands, (G) coarse-grained sands with clayish silts with Fagus, Ocotea, Pterocarya, Tectocarya, (H) brown sandy clay underlying the uppermost seamlet, (I) lignite clay, base of the uppermost seamlet (J) Glyptostrobus – "Blätterkohle", base of the uppermost seamlet (according to Holý 1975, modified).
Data from: Phylogeographic and demographic patterns reveal congruent histories in seven Amazonian white-sand ecosystems birds
<p>Aim: As the most biodiverse region of the world, the drivers of genetic diversity in Amazonia are still poorly understood. It has been debated that species on distinct ecosystems will show unique biogeographic histories tied to their habitats which in turn help understand landscape climatic history in Amazonia. We studied bird species associated with patchy Amazonian white-sand ecosystems (WSE) to evaluate the occurrence of shared patterns and its relationship to species habitat preferences and Amazonian environmental and landscape history.</p> <p>Location: Northern South America; Amazonia.</p> <p>Taxon: Passerine birds.</p> <p>Methods: We sequenced Ultra-conserved Elements (UCEs) from 177 samples of seven bird species associated with WSE that have overlapping ranges. We used the SNP matrices and sequence data to estimate genetic structure patterns and migration surfaces using 'conStruct' and <em>eems</em>, perform model-selection to obtain the most probable demographic histories on 'PipeMaster', and implement analyses of shared demography with <em>ecoevolity</em>.</p> <p>Results: Shallow genetic structure patterns varied among species with the Amazon river being the only barrier shared among them. Population structure dates to no more than 450,000 years ago. We identified 17 geographically structured populations from which nine showed signals of population size changes and eight of these occur in Northern Amazonia. Population expansion was inferred at two distinct times: ~100,000 years ago and ~50,000 years ago. The timing of co-expanding populations is consistent with differences in habitat preference, as species that prefer dense scrubby to forested vegetation expanded more recently compared to species that prefer open vegetation.</p> <p>Main conclusions: We show that WSE species responded in concert to past environmental and landscape changes. Past population expansions were likely driven by the genesis of new WSE patches and a return to wetter conditions after glacial periods. Pleistocene climatic cycles affected the distribution and dynamics of open vegetation habitats in Amazonia, especially in the Northern region, driving genetic diversity and demographic patterns of its associated biota.</p>
Data from: Phylogeographic and demographic patterns reveal congruent histories in seven Amazonian white-sand ecosystems birds
Open the record for dataset details and reuse information.
Data from: When field experiments yield unexpected results: lessons learned from measuring selection in White Sands lizards
Determining the adaptive significance of phenotypic traits is key for understanding evolution and diversification in natural populations. However, evolutionary biologists have an incomplete understanding of how specific traits affect fitness in most populations. The White Sands system provides an opportunity to study the adaptive significance of traits in an experimental context. Blanched color evolved recently in three species of lizards inhabiting the gypsum dunes of White Sands and is likely an adaptation to avoid predation. To determine whether there is a relationship between color and susceptibility to predation in White Sands lizards, we conducted enclosure experiments, quantifying survivorship of Holbrookia maculate exhibiting substrate-matched and substrate-mismatched phenotypes. Lizards in our study experienced strong predation. Color did not have a significant effect on survival, but we found several unexpected relationships including variation in predation over small spatial and temporal scales. In addition, we detected a marginally significant interaction between sex and color, suggesting selection for substrate matching may be stronger for males than females. We use our results as a case study to examine six major challenges frequently encountered in field-based studies of natural selection, and suggest that insight into the complexities of selection often results when experiments turn out differently than expected.
Data from: Survival by genotype: patterns at Mc1r are not black and white at the White Sands ecotone
Measuring links among genotype, phenotype and survival in the wild has long been a focus of studies of adaptation. We conducted a 4-year capture–recapture study to measure survival by genotype and phenotype in the Southwestern Fence Lizard (Sceloporus cowlesi) at the White Sands ecotone (transition area between white sands and dark soil habitats). We report several unanticipated findings. First, in contrast with previous work showing that cryptic blanched coloration in S. cowlesi from the heart of the dunes is associated with mutations in the melanocortin-1 receptor gene (Mc1r), ecotonal S. cowlesi showed minimal association between colour phenotype and Mc1r genotype. Second, the frequency of the derived Mc1r allele in ecotonal S. cowlesi appeared to decrease over time. Third, our capture–recapture data revealed a lower survival rate for S. cowlesi individuals with the derived Mc1r allele. Thus, our results suggest that selection at the ecotone may have favoured the wild-type allele in recent years. Even in a system where a genotype–phenotype association appeared to be black and white, our study suggests that additional factors – including phenotypic plasticity, epistasis, pleiotropy and gene flow – may play important roles at the White Sands ecotone. Our study highlights the importance of linking molecular, genomic and organismal approaches for understanding adaptation in the wild. Furthermore, our findings indicate that dynamics of natural selection can be particularly complex in transitional habitats like ecotones and emphasize the need for future research that examines the patterns of ongoing selection in other ecological 'grey' zones.
FIGURE 4 in The Lepidoptera of White Sands National Monument, Otero County, New Mexico, USA 10. A remarkable new white species of Chionodes Hübner (Gelechiidae)
FIGURE 4. Neighbor-joining tree of K2P distances for the barcode region of the cytochrome c oxidase I gene among 27 specimens representing eight species of Chionodes. End-branch labels are Specimen IDs. Barcode Index Numbers (BIN) where available are indicated below each species name.
FIGURE 3. Chionodes bustosorum type locality and distribution map. 3a in The Lepidoptera of White Sands National Monument, Otero County, New Mexico, USA 10. A remarkable new white species of Chionodes Hübner (Gelechiidae)
FIGURE 3. Chionodes bustosorum type locality and distribution map. 3a, type locality; 3b, Chionodes bustosorum is known from White Sands National Monument, Otero Co., New Mexico.
Colour illustrations. Flowers, fruits, leaves and seeds of Musa itinerans (background photo by D.T. Vu); from top to bottom and left to right: colony on PDA after 14 d at 24 °C in darkness (left = obverse,right = reverse), sporodochia formed on CLA, aerial conidiophore, aerial conidiogenous cells, aerial conidia, sporodochial conidia. Scale bars: black = 20 µm, white = 10 µm. in Fusarium chuoi R. Hill, Gaya, D.T. Vu, Sand.-Den. & Crous, R. Hill, Gaya, D.T. Vu, Sand.-Den. & Crous sp. nov.
Colour illustrations. Flowers, fruits, leaves and seeds of Musa itinerans (background photo by D.T. Vu); from top to bottom and left to right: colony on PDA after 14 d at 24 °C in darkness (left = obverse,right = reverse), sporodochia formed on CLA, aerial conidiophore, aerial conidiogenous cells, aerial conidia, sporodochial conidia. Scale bars: black = 20 µm, white = 10 µm.
On following pages: 347. Plains Mouse (Pseudomys australis); 348. Bolam''s Mouse (Pseudomys bolami); 349. Kakadu Pebble Mouse (Pseudomys calabyi); 350. Western Pebble Mouse (Pseudomys chapmani); 351. Desert Mouse (Pseudomys desertor); 352. Shark Bay Mouse (Pseudomys field); 353. Australian Smoky Mouse (Pseudomys fumeus); 354. Eastern Chestnut Mouse (Pseudomys gracilicaudatus); 355. Sandy Inland Mouse (Pseudomys hermannsburgensis); 356. Long-tailed Mouse (Pseudomys higginsi); 357. Central Pebble Mouse (Pseudomys johnson); 358. Western Chestnut Mouse (Pseudomys nanus); 359. New Holland Mouse (Pseudomys novaehollandiae); 360. Western Mouse (Pseudomys occidentalis); 361. Hastings River Mouse (Pseudomys oralis); 362. Eastern Pebble Mouse (Pseudomys patrius); 363. Heath Mouse (Pseudomys shortridgel); 364. Common Australian Rock Rat (Zyzomys argurus); 365. Arnhem Land Rock Rat (Zyzomys maini); 366. Carpentarian Rock Rat (Zyzomys palatalis); 367. Central Australian Rock Rat (Zyzomys pedunculatus); 368. Kimberley Rock Rat (Zyzomys woodward); 369. Malayan Tree Rat (Pithecheir parvus); 370. Red Tree Rat (Pithecheir melanurus); 371. Bornean Tree Rat (Pithecheirops otion); 372. Cutch Rat (Cremnomys cutchicus); 373. Elvira Rat (Cremnomys elvira); 374. Crump's Rat (Diomys crumpi); 375. White-tailed Wood Rat (Madromys blanfordi); 376. Sand-colored Soft-furred Rat (Millardia gleadowi); 377. Kondana Soft-furred Rat (Millardia kondana); 378. Common Soft-furred Rat (Millardia in Muridae
On following pages: 347. Plains Mouse (Pseudomys australis); 348. Bolam''s Mouse (Pseudomys bolami); 349. Kakadu Pebble Mouse (Pseudomys calabyi); 350. Western Pebble Mouse (Pseudomys chapmani); 351. Desert Mouse (Pseudomys desertor); 352. Shark Bay Mouse (Pseudomys field); 353. Australian Smoky Mouse (Pseudomys fumeus); 354. Eastern Chestnut Mouse (Pseudomys gracilicaudatus); 355. Sandy Inland Mouse (Pseudomys hermannsburgensis); 356. Long-tailed Mouse (Pseudomys higginsi); 357. Central Pebble Mouse (Pseudomys johnson); 358. Western Chestnut Mouse (Pseudomys nanus); 359. New Holland Mouse (Pseudomys novaehollandiae); 360. Western Mouse (Pseudomys occidentalis); 361. Hastings River Mouse (Pseudomys oralis); 362. Eastern Pebble Mouse (Pseudomys patrius); 363. Heath Mouse (Pseudomys shortridgel); 364. Common Australian Rock Rat (Zyzomys argurus); 365. Arnhem Land Rock Rat (Zyzomys maini); 366. Carpentarian Rock Rat (Zyzomys palatalis); 367. Central Australian Rock Rat (Zyzomys pedunculatus); 368. Kimberley Rock Rat (Zyzomys woodward); 369. Malayan Tree Rat (Pithecheir parvus); 370. Red Tree Rat (Pithecheir melanurus); 371. Bornean Tree Rat (Pithecheirops otion); 372. Cutch Rat (Cremnomys cutchicus); 373. Elvira Rat (Cremnomys elvira); 374. Crump's Rat (Diomys crumpi); 375. White-tailed Wood Rat (Madromys blanfordi); 376. Sand-colored Soft-furred Rat (Millardia gleadowi); 377. Kondana Soft-furred Rat (Millardia kondana); 378. Common Soft-furred Rat (Millardia
FIGURE 6 in Distribution and status of Turdus thrushes in white-sand areas of eastern Colombia, with a new subspecies of T. leucomelas
FIGURE 6. Plumage variation among populations of T. ignobilis and T. arthuri from eastern Colombia. From left to right: T. i. ignobilis, male ICN 20637, Cundinamarca, Laguna de Pedropalo, and male ICN 21095, Cundinamarca, Planicies de Fusagasugá; T. i. debilis, male ICN 37676, Norte de Santander, San Cayetano, vereda Ayacucho, finca El Palmar, and female ICN 24706, Amazonas, Araracuara, río Caquetá; T. arthuri, female ICN 24710, Amazonas, Araracuara, río Caquetá, and male ICN 31982, Caquetá, río Mesay. Plumage differences between ignobilis and debilis are mainly in the extent of white in throat and belly; note also the larger size of ignobilis; whereas arthuri is distinguished by its grayer underparts and duller upperparts.
FIGURE 5 in Distribution and status of Turdus thrushes in white-sand areas of eastern Colombia, with a new subspecies of T. leucomelas
FIGURE 5. Principal Components Analysis of the morphological measurements (Tables S1, S2, S3) of the four Turdus thrushes of the present study. red = T. leucomelas albiventer; green = T. l. upichiarum; blue = T. arthuri; purple = T. ignobilis debilis. Note the virtually complete separation between T. l. albiventer and T. i. debilis; T. l. upichiarum overlaps most with T. l. albiventer, less with T. arthuri and still less with T. i. debilis; T. arthuri shows considerable overlap with T. i. debilis. See text for further details.
FIGURE 4 in Distribution and status of Turdus thrushes in white-sand areas of eastern Colombia, with a new subspecies of T. leucomelas
FIGURE 4. Morphological comparisons among four Turdus thrushes found in eastern Colombia. Note the smaller size overall of T. l. upichiarum with respect to cisandean T. l. albiventer. Turdus i. debilis and T. arthuri show similar morphology, except for the longer tail and tarsi of the latter. Medial line denotes the median, and 2nd and 3rd quartiles delimit the box.
FIGURE 3 in Distribution and status of Turdus thrushes in white-sand areas of eastern Colombia, with a new subspecies of T. leucomelas
FIGURE 3. Plumage variation among populations of T. leucomelas from eastern Colombia. From left to right: T. l. albiventer, male ICN 38400, Meta, Villavicencio, vereda La Llanerita, finca Villa Oria; male ICN 30851, Cundinamarca, Medina, San Francisco de Gazaduje, finca Serranía los Alpes; T. l. upichiarum, male ICN 39668 (Holotype) and female ICN 39667, Guaviare, Calamar, PNN Serranía de Chiribiquete, caño Negro; T. l. upichiarum, female ICN 24696 (Paratype), Amazonas, Araracuara, río Caquetá. Note the overall darker coloration of T. l. upichiarum compared with the contrasting gray and brown upperparts and brighter brown to rufescent wing coverts and primaries in T. l. albiventer.
FIGURE 2 in Distribution and status of Turdus thrushes in white-sand areas of eastern Colombia, with a new subspecies of T. leucomelas
FIGURE 2. Bayesian tree based on ND2 sequences showing phylogenetic relationships between T. l. upichiarum and other T. leucomelas from South America. Bayesian posterior probabilities (PP) and maximum likelihood bootstrap values are indicated above and below nodes, respectively, with asterisks indicating maximum values (PP=1.0; bootstrap support= 100). Numbers in front of taxon names refer to sample data in Table 1. The median-joining haplotype network depicts shallow genetic divergence and haplotypes (circles) shared among T. leucomelas from several regions (colors). The size of each circle denotes the number of samples per haplotype. Vertical bars represent the number of substitutions among haplotypes. Note that three T. l. upichiarum share the same haplotype with samples from the Llanos Orientales and Guyana.
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.