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Data from: Forecasting animal distribution through individual habitat selection: Insights for population inference and transferable predictions
<p>Habitat selection models frequently use data collected from a small geographic area over a short window of time to extrapolate patterns of relative abundance to unobserved areas or periods of time. However, these types of models often poorly predict how animals will use habitat beyond the place and time of data collection because space-use behaviors vary between individuals and are context-dependent. Here, we present a modelling workflow to advance predictive distribution performance by explicitly accounting for individual variability in habitat selection behavior and dependence on environmental context. Using global positioning system (GPS) data collected from 238 individual pronghorn, (<em>Antilocapra americana</em>), across 3 years in Utah, we combine individual-year-season-specific exponential habitat-selection models with weighted mixed-effects regressions to both draw inference about the drivers of habitat selection and predict space-use in areas/times where/when pronghorn were not monitored. We found a tremendous amount of variation in both the magnitude and direction of habitat selection behavior across seasons, but also across individuals, geographic regions, and years. We were able to attribute portions of this variation to season, movement strategy, sex, and regional variability in resources, conditions, and risks. We were also able to partition residual variation into inter- and intra-individual components. We then used the results to predict population-level, spatially and temporally dynamic, habitat-selection coefficients across Utah, resulting in a temporally dynamic map of pronghorn distribution at a 30x30m resolution but an extent of 220,000km2. We believe our transferable workflow can provide managers and researchers alike a way to turn limitations of traditional habitat selection models - variability in habitat selection - into a tool to understand and predict species-habitat associations across space and time.</p>
Fig. 2 in Does the Mean Individual Biomass (MIB) of carabids as a bioindicator of forest succession follow a logistic function? - Examples from Western German beech and Polish Scots pine forests
Fig. 2. Logistic regression curve – Relationship between age of the Polish Scots pine stands (years) and mean individual biomass of carabids (mg)
Fig. 1 in Does the Mean Individual Biomass (MIB) of carabids as a bioindicator of forest succession follow a logistic function? - Examples from Western German beech and Polish Scots pine forests
Fig. 1. Logistic regression curve – Relationship between age of the Western German beech stands (years) and mean individual biomass of carabids (mg)
Data for "Atomic-scale perspective on individual thiol-terminated molecules anchored to single S vacancies in MoS2"
<p>This repository provides the original datasets for the manuscript "Atomic-scale perspective on individual thiol-terminated molecules anchored to single S vacancies in MoS2". It includes the original experimental data as well as the iPython Notebooks used to treat it in "<a href="../api/records/10160204/draft/files/Data_and_Analysis.zip/content" target="_blank" rel="noopener noreferrer">Data_and_Analysis.zip</a>" (see readme in individual folders for precise information), the datasets for the structure search and molecular dynamics calculations in "<a href="../api/records/10160204/draft/files/structure_search_and_MD.zip/content" target="_blank" rel="noopener noreferrer">structure_search_and_MD.zip</a>", as well as the data for the DFT calculations for the projected electronic density of states (PDoS) and the orbital densities of Fig.5 and 8 in "<a href="../api/records/10160204/draft/files/fig5.zip/content" target="_blank" rel="noopener noreferrer">fig5.zip</a>" and "<a href="../api/records/10160204/draft/files/fig8.zip/content" target="_blank" rel="noopener noreferrer">fig8.zip</a>", respectively.</p> <p> </p>
Fig. 1 in Spatial, Temporal And Individual Variability In The Autumn Diet Of European Hare (Lepus Europaeus) In Hungary
Fig. 1. Localities of the study areas. Study areas are shown as gray patches, the capital (Budapest) by striped gray area, Lake Balaton and Lake Tisza by black ones. Black lines are Hungarian rivers and
Fig. 3 in Anticarsia gemmatalis nucleopolyhedrovirus from soybean crops in Tamaulipas, Mexico: diversity and insecticidal characteristics of individual variants and their co-occluded mixtures
Fig. 3. Logarithm of mean occlusion body (OB) production in fourth instar Anticarsia gemmatalis infected by (A) the genotypic variants compared with a mixture of 30 field isolates (30wt) and reference Brazilian variant AgMNPV-2D (Ag-2D), and (B) co-occluded mixtures of variants (M1–M4).
Supplementary data to the paper: Toward a Novel Set of Pinna Anthropometric Features for Individualizing Head-Related Transfer Functions
<p>Supplementary research data to the <a href="https://doi.org/10.5281/zenodo.14338958" target="_blank" rel="noopener">paper</a>:</p> <blockquote> <p>Davide Fantini, Stavros Ntalampiras, Giorgio Presti, and Federico Avanzini. Toward a novel set of pinna anthropometric features for individualizing<br>head-related transfer functions. In <em>Proceedings of the 21th Sound and Music Computing Conference</em>, Porto, Portugal, July 2024.</p> </blockquote> <p>The repository includes the research data generated in the abovementioned paper. In particular, the repository includes:</p> <ul> <li><a href="../api/records/10805885/draft/files/README.md/content" target="_blank" rel="noopener noreferrer">README.md</a>: instructions for the data</li> <li><a href="../api/records/10805885/draft/files/pinna_images.mat/content" target="_blank" rel="noopener noreferrer">pinna_images.mat</a>: pinna depth images extracted from the 3D head meshes of the <a href="https://depositonce.tu-berlin.de/items/dc2a3076-a291-417e-97f0-7697e332c960">HUTUBS dataset</a></li> <li><a href="../api/records/10805885/draft/files/landmarks.mat/content" target="_blank" rel="noopener noreferrer">landmarks.mat</a>: coordinates of the landmarks manually annotated on pinna depth images</li> <li><a href="../api/records/10805885/draft/files/anthropometry.mat/content" target="_blank" rel="noopener noreferrer">anthropometry.mat</a>: anthropometric parameters automatically extracted from manually annotated landmarks</li> <li><a href="../api/records/10805885/draft/files/anthropometry_documentation.pdf/content" target="_blank" rel="noopener">anthropometry_documentation.pdf</a>: documentation of the pinna anthropometric parameters</li> <li><a href="../records/12698286/files/poster.pdf?download=1">poster.pdf</a>: poster presented at the SMC conference 2024</li> </ul> <p>The data are provided in the Matlab file format MAT. Nevertheless, the MAT files can be read with other programming languages, such as Python (<a href="https://docs.scipy.org/doc/scipy/reference/generated/scipy.io.loadmat.html">scipy.io.loadmat</a>).</p> <p>A GitHub repository to automatically extract the pinna landmarks and features as described in the paper is available <a href="https://github.com/DavideFantini/pinna-anthropometry-extraction" target="_blank" rel="noopener">here</a>.</p>
Fig. 8 in Populations of Odontesthes (Teleostei: Atheriniformes) in the Andean region of Southern South America: body shape and hybrid individuals
Fig. 8. Geometric Morphometric Analysis applied to O. hatcheri individuals. Left: plot of DF3 vs. DF2 showing means and 95% confidence intervals by sampling sites (locality labels as in Fig. 1) NIHL (white triangle), CDP (black circle), 7: PELE (gray square), PDA (black triangle), MITO (black diamond), CARI (white square), EPU (black and white diamond), RIV (gray circle), ROS (white diamond), AME (black square), CHU (gray diamond), MUS (gray triangle), LBA (white circle), and PUY (white triangle). Right: deformation grids correspond to a relative warps analysis involving only CDP, PDA, and NIHL and PUY. Arrowheads indicate displacement of landmarks relative to consensus. Shaded area remarks relative position of landmarks 5 (anterior insertion of the first dorsal fin) and 12 (distal tip of the pelvic fin onto fish body).
Fig. 6 in Populations of Odontesthes (Teleostei: Atheriniformes) in the Andean region of Southern South America: body shape and hybrid individuals
Fig. 6. Probability for taxonomically identified Odontesthes hatcheri individuals of being O. hatcheri (left) and probability of taxonomically identified O. bonariensis individuals of being O. bonariensis (right). Number of fish, median, quartiles, and data outside 10 and 90th percentile are indicated. Water bodies are named as in Fig. 1.
Fig. 5 in Populations of Odontesthes (Teleostei: Atheriniformes) in the Andean region of Southern South America: body shape and hybrid individuals
Fig. 5. Morphometric differences between species. DF1 and residual DF2 (of the regression of DF2 versus Standard length) vs. Standard length (SL). Odontesthes bonariensis (white circle), O. hatcheri (black circle), and presumptive hybrids (gray circle).
Fig. 4 in Populations of Odontesthes (Teleostei: Atheriniformes) in the Andean region of Southern South America: body shape and hybrid individuals
Fig. 4. Geometric Morphometric Analysis applied to Odontesthes individuals. RW2 versus RW1 and deformation grids (tied to group means) for Odontesthes bonariensis (white circle), O. hatcheri (black circle) and presumptive hybrids (gray circle). Arrowheads indicate displacement of landmarks relative to consensus. Shaded area shows relative position of landmarks 5 (anterior insertion of the first dorsal fin) and 12 (distal tip of the pelvic fin onto fish body).
Fig. 1 in Populations of Odontesthes (Teleostei: Atheriniformes) in the Andean region of Southern South America: body shape and hybrid individuals
Fig. 1. Distribution of O. hatcheri (light gray) and O. bonariensis (dark gray) described by Dyer (2006) and sampling localities: ULLM, Ullum Reservoir; CARZ, Carrizal Reservoir; NIHL, Nihuil Reservoir; D, Lake San Lorenzo; URRE, Lake Urre Lauquen; CDP, Casa de Piedra Reservoir; PELE, Lake Pellegrini; PDA, Piedra del Aguila Reservoir; MITO, Lake Morenito; CARI, Lake Carilafquen; EPU, Lake Epuyén; RIV, Lake Rivadavia; ROS, Lake Rosario; AME, Florentino Ameghino Reservoir; CHU, Chubut River at Los Altares; MUS, Lake Musters; LBA, Lake Buenos Aires; PUY, Lake Pueyrredón. White triangles show the location of the three hatcheries (Estación Hidrobiológica de Chascomús 35º36'S, 58º01'W, Estación de Piscicultura de Embalse 32º13'S, 64º29'W, and Estación de Piscicultura Río Limay 38º59'S, 68º14'W), sources of stocking practices.
Figure 7 in Harbor seal pup dispersal and individual morphology, hematology, and contaminant factors affecting survival
Figure 7. Association between the survival probability estimate and mass (kg) at the time of release from rehabilitation from the best supported TMMC model: {Φ(mass)}.
Figure 3 in Harbor seal pup dispersal and individual morphology, hematology, and contaminant factors affecting survival
Figure 3. Map of the tracks taken by seals that traveled the greatest distance from their capture or release location for each of the three groups of seals. SF = San Francisco Bay, TB = Tomales Bay, and TMMC = The Marine Mammal Center. The TMMC seal that traveled the furthest was released from Cypress Point, Monterey.
Figure 6. Association between survival probability estimates with circulating T4 in Harbor seal pup dispersal and individual morphology, hematology, and contaminant factors affecting survival
Figure 6. Association between survival probability estimates with circulating T4 (nmol/L) at the time of capture/release from the best supported model: {Φ(g + T4)}.
Figure 5 in Harbor seal pup dispersal and individual morphology, hematology, and contaminant factors affecting survival
Figure 5. The last day of satellite tag transmission for each seal (circles) modeled by two exponential curves (solid lines) with 95% confidence intervals (dotted lines). Data and estimates are in black for the wild (SF and TB) seals and blue for the rehabilitated (TMMC) seals. The gray line represents tag survival based on a normal distribution. The dashed lines display the effect of tag loss on the two survival curves.
Figure 1 in Harbor seal pup dispersal and individual morphology, hematology, and contaminant factors affecting survival
Figure 1. Relationship between standard length and summed organohalogen contaminants (OH) for the three groups: San Francisco Bay [logOH = (length) × (−0.05) + 13.76, F = 6.117, df = 17, R2 = 0.2646, P = 0.024], Tomales Bay [logOH = (length) × (−0.05) + 24.45, F = 10.3, df = 5, R2 = 0.6733, P = 0.023], and The Marine Mammal Center (not significant).
◂Fig.15 Scanning electron micrographs (SEM) showing transverse rows of dentition on Dinaride Zospeum and Iberozospeum radulae; (a) Z. pretneri, (NMBE 553290), Gornja Cerovačka pećina, Croatia, transverse rows of teeth on long, slender basal plates (bp), rachidian (r) and lateral teeth (l), arrows indicate medial grooves on mesocones of individual teeth; (b) Z. isselianum, NMBE 553389, Turjeva jama, Slovenia, ibid.; (c) Iberozospeum sp. (RMNH.MOL.234,116), Cueva a Sul, straight transverse rows of small, seemingly bi-cuspid lateral teeth (l) with reduced mesocones on compact basal plates; (d) ibid., close up view of rachidian teeth (r), lateral fang-like teeth (l) and transitional teeth (t); (e) I. vasconicum, (AJC 1848), Cueva Ermita de Sandaili, rachidian teeth (r) flanked by 4-cuspid lateral teeth (l), C. ibazoricum-like in form; (f) Iberozospeum sp. (RMNH. MOL.234108), Cueva la Torcona, lateral teeth showing reduced mesocones (me) flanked by long, fang-like endo- and ectocones (e), rachidian tooth (r) (flipped over in upper righthand corner of image); (g) I. zaldivarae (AJC 1876a), Cueva de Las Paúles, transverse rows of teeth showing varying cusp lengths; (h) ibid., close up view (left to right) of marginal (m) and transitional teeth (t) on short, compact basal plates (bp). — Magnification varies for each perspective, see scale bars; all Figs taken by M. Ruppel, (ret.) Goethe University Frankfurt am Main in Molecular investigation and description of Iberozospeum n. gen., including the description of one new species (Eupulmonata, Ellobioidea, Carychiidae)
◂Fig.15 Scanning electron micrographs (SEM) showing transverse rows of dentition on Dinaride Zospeum and Iberozospeum radulae; (a) Z. pretneri, (NMBE 553290), Gornja Cerovačka pećina, Croatia, transverse rows of teeth on long, slender basal plates (bp), rachidian (r) and lateral teeth (l), arrows indicate medial grooves on mesocones of individual teeth; (b) Z. isselianum, NMBE 553389, Turjeva jama, Slovenia, ibid.; (c) Iberozospeum sp. (RMNH.MOL.234,116), Cueva a Sul, straight transverse rows of small, seemingly bi-cuspid lateral teeth (l) with reduced mesocones on compact basal plates; (d) ibid., close up view of rachidian teeth (r), lateral fang-like teeth (l) and transitional teeth (t); (e) I. vasconicum, (AJC 1848), Cueva Ermita de Sandaili, rachidian teeth (r) flanked by 4-cuspid lateral teeth (l), C. ibazoricum-like in form; (f) Iberozospeum sp. (RMNH. MOL.234108), Cueva la Torcona, lateral teeth showing reduced mesocones (me) flanked by long, fang-like endo- and ectocones (e), rachidian tooth (r) (flipped over in upper righthand corner of image); (g) I. zaldivarae (AJC 1876a), Cueva de Las Paúles, transverse rows of teeth showing varying cusp lengths; (h) ibid., close up view (left to right) of marginal (m) and transitional teeth (t) on short, compact basal plates (bp). — Magnification varies for each perspective, see scale bars; all Figs taken by M. Ruppel, (ret.) Goethe University Frankfurt am Main
◂Fig. 14 Scanning electron micrographs (SEM) showing radular ribbon form, middle adhesive zone (az) and rows of dentition (rd) of Dinaride and Iberian individuals (notation denotes aspects on one Dinaride Zospeum and one Iberozospeum ribbon); (a) Z. exiguum (NMBE 553384), Križna jama, Slovenia (45.7452, 14.4673), long and narrow, tapered anterior end (tae), short adhesive zone (az), bottom furled with narrow obtuse or straight base (nosb); (b) Z. pretneri, (NMBE 553290), Gornja Cerovačka pećina, Croatia (44.2701, 15.8855), ibid., with straight base; (c) I. vasconicum, (AJC 1848), Cueva Ermita de Sandaili (42.9994, -2.4381), moderately long and broad, tapered anterior end (tae), prominent adhesive zone (az), straight base (sb); (d) I. zaldivarae, (AJC 1876), Cueva de Las Paúles (43.1282, -2.7362), ibid.; (e) Iberozospeum sp. (RMNH.MOL. 234,109), Cueva de la Foz, long and broad, ibid; (f) Iberozospeum sp., (RMNH.MOL. 234,144), Cueva de Rales, very long and broad, ibid; (g) Iberozospeum sp., (RMNH.MOL. 234,116), Cueva a Sul, long and broad, ibid; (h) Iberozospeum sp., (RMNH.MOL. 234,108), Cueva de Torcona, very long and broad, ibid. — Magnification varies for each perspective, see scale bars; all Figs imaged by M. Ruppel, (ret.) Goethe University Frankfurt am Main in Molecular investigation and description of Iberozospeum n. gen., including the description of one new species (Eupulmonata, Ellobioidea, Carychiidae)
◂Fig. 14 Scanning electron micrographs (SEM) showing radular ribbon form, middle adhesive zone (az) and rows of dentition (rd) of Dinaride and Iberian individuals (notation denotes aspects on one Dinaride Zospeum and one Iberozospeum ribbon); (a) Z. exiguum (NMBE 553384), Križna jama, Slovenia (45.7452, 14.4673), long and narrow, tapered anterior end (tae), short adhesive zone (az), bottom furled with narrow obtuse or straight base (nosb); (b) Z. pretneri, (NMBE 553290), Gornja Cerovačka pećina, Croatia (44.2701, 15.8855), ibid., with straight base; (c) I. vasconicum, (AJC 1848), Cueva Ermita de Sandaili (42.9994, -2.4381), moderately long and broad, tapered anterior end (tae), prominent adhesive zone (az), straight base (sb); (d) I. zaldivarae, (AJC 1876), Cueva de Las Paúles (43.1282, -2.7362), ibid.; (e) Iberozospeum sp. (RMNH.MOL. 234,109), Cueva de la Foz, long and broad, ibid; (f) Iberozospeum sp., (RMNH.MOL. 234,144), Cueva de Rales, very long and broad, ibid; (g) Iberozospeum sp., (RMNH.MOL. 234,116), Cueva a Sul, long and broad, ibid; (h) Iberozospeum sp., (RMNH.MOL. 234,108), Cueva de Torcona, very long and broad, ibid. — Magnification varies for each perspective, see scale bars; all Figs imaged by M. Ruppel, (ret.) Goethe University Frankfurt am Main
Рис. 2. ПоΛигон набΛюΑения за инΑивиΑуаΛьным повеΑением гренΛанΑского Λемминга, о. ВрангеΛя, июнь-август 1987 г. Fig. 2. Observation site to monitor individual behavior of the Greenland lemming, Wrangel Island, June–August 1987 in Territorial behaviour of the greenlandic lemming (Dicrostonyx groenlandicus Trail, 1823) on Wrangel Island
Рис. 2. ПоΛигон набΛюΑения за инΑивиΑуаΛьным повеΑением гренΛанΑского Λемминга, о. ВрангеΛя, июнь-август 1987 г. Fig. 2. Observation site to monitor individual behavior of the Greenland lemming, Wrangel Island, June–August 1987
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.