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.
9,113
datasets available to search
ShareScore release 0.9.0
Dataset results
9,113 results for “Sampling”
FIGURE 5 in Comparative Meristic Variability in Whiptail Lizards (Teiidae, Aspidoscelis): Samples of Parthenogenetic A. tesselata Versus Samples of Sexually Reproducing A. sexlineata, A. marmorata, and A. gularis septemvittata
FIGURE 5. Pattern of meristic variation between parthenogenetic Aspidoscelis tesselata E (○) and gonochoristic A. marmorata (□) depicted by the projection of principal component scores on PC1 and PC2 axes: A. Arroyo del Macho, Chaves County, New Mexico (N = 38 and N = 29, respectively); B. vicinity of Engle, Sierra County, New Mexico (N = 30 and N = 33, respectively). Percentages represent the proportion of meristic variation summarized by each principal component, and ellipses define the 95% confidence limits for score distributions.
FIGURE 3 in Comparative Meristic Variability in Whiptail Lizards (Teiidae, Aspidoscelis): Samples of Parthenogenetic A. tesselata Versus Samples of Sexually Reproducing A. sexlineata, A. marmorata, and A. gularis septemvittata
FIGURE 3. Pattern of meristic variation between parthenogenetic Aspidoscelis tesselata C (○) and gonochoristic A. sexlineata (◊): A. southeastern Colorado (N = 31 for each sample); B. Conchas Lake, New Mexico (N = 30 and N = 31, respectively). Percentages represent the proportion of meristic variation summarized by each principal component, and ellipses define the 95% confidence limits for score distributions.
FIGURE 2 in Comparative Meristic Variability in Whiptail Lizards (Teiidae, Aspidoscelis): Samples of Parthenogenetic A. tesselata Versus Samples of Sexually Reproducing A. sexlineata, A. marmorata, and A. gularis septemvittata
FIGURE 2. Representative specimens used in this study. Southeastern Colorado: A. Aspidoscelis tesselata C (RU 0198; 93 mm SVL); B. A. sexlineata (RU 0334; ♂, 71 mm SVL). Conchas Lake, New Mexico: C. A. tesselata C (RU 0003; 86 mm SVL); D. A. sexlineata (GM 236 [UADZ 7405]; ♀, 61 mm SVL).
FIGURE 4 in Comparative Meristic Variability in Whiptail Lizards (Teiidae, Aspidoscelis): Samples of Parthenogenetic A. tesselata Versus Samples of Sexually Reproducing A. sexlineata, A. marmorata, and A. gularis septemvittata
FIGURE 4. Representative specimens used in this study. Engle, New Mexico: A. Aspidoscelis tesselata E (RU 9546; 87 mm SVL); B. A. marmorata (RU 9262; ♀, 84 mm SVL). Arroyo del Macho, New Mexico: C. A. tesselata E (RU 0228; 84 mm SVL); D. A. marmorata (RU 0390; ♀, 79 mm SVL). Presidio County, Texas: E. A. gularis septemvittata (UADZ 8115; ♂, 90 mm SVL).
MCMC samples from an analysis reported in a paper titled "A Song of Neither Ice nor Fire: Temperature extremes had no impact on violent conflict among European societies during the 2nd millennium"
<p>These data are posterior samples from an MCMC used to estimate parameters for a Bayesian state-space time-series regression model. They are products of an analysis reported in "A Song of Neither Ice nor Fire: Temperature extremes had no impact on violent conflict among European societies during the 2nd millennium", an academic paper that has recently been submitted for peer review. We have archived the MCMC samples here in order to facilitate peer review, replication, and open science.</p> <p>The samples are stored in .RData format (matrices when loaded into an R environment) and the R code used to produce them is provided in a GitHub repo (https://github.com/wccarleton/extreme-conflict). Each .RData file contains a matrix called "samples". The columns of the matrix are each an MCMC chain for a given (column name) model parameter monitored during the MCMC simulation. See the aforementioned GitHub repo for more details.<br> <br> </p>
Text-fig. 13. Scatter diagram of m1 length vs SDQ for pre-Eemian (time slice 5) Arvicola samples from different geographical provenances compared with M. savini-A. mosbachensis and Arvicola sapidus. Empty dotted ovals indicate the range of extant Arvicola ex gr. amphibius samples from Italy (cyan) and from the other European locations (green) Abbreviations: FR – France, GE – Germany, IT – Italy, SP – Spain. in Independent Water Vole (Mimomys Savini, Arvicola: Rodentia, Mammalia) Lineages In Italy And Central Europe
Text-fig. 13. Scatter diagram of m1 length vs SDQ for pre-Eemian (time slice 5) Arvicola samples from different geographical provenances compared with M. savini-A. mosbachensis and Arvicola sapidus. Empty dotted ovals indicate the range of extant Arvicola ex gr. amphibius samples from Italy (cyan) and from the other European locations (green) Abbreviations: FR – France, GE – Germany, IT – Italy, SP – Spain.
Text-fig. 11. Scatter diagram of m1 length vs SDQ for Würmian/Weichselian (time slice 3) Arvicola samples from different geographical provenances compared with M. savini-A. mosbachensis and extant Arvicola sapidus. Empty dotted ovals indicate the range of extant Arvicola ex gr. amphibius samples from Italy (cyan) and from the other European locations (green) Abbreviations: FR – France, GE – Germany, IT – Italy, SP – Spain. in Independent Water Vole (Mimomys Savini, Arvicola: Rodentia, Mammalia) Lineages In Italy And Central Europe
Text-fig. 11. Scatter diagram of m1 length vs SDQ for Würmian/Weichselian (time slice 3) Arvicola samples from different geographical provenances compared with M. savini-A. mosbachensis and extant Arvicola sapidus. Empty dotted ovals indicate the range of extant Arvicola ex gr. amphibius samples from Italy (cyan) and from the other European locations (green) Abbreviations: FR – France, GE – Germany, IT – Italy, SP – Spain.
Text-fig. 12. Scatter diagram of m1 length vs SDQ for Eemian (time slice 4) Arvicola samples from different geographical provenances compared with M. savini-A. mosbachensis and Arvicola sapidus. Empty dotted ovals indicate the range of extant Arvicola ex gr. amphibius samples from Italy (cyan) and from the other European locations (green) Abbreviations: FR – France, GE – Germany, IT – Italy, SP – Spain. in Independent Water Vole (Mimomys Savini, Arvicola: Rodentia, Mammalia) Lineages In Italy And Central Europe
Text-fig. 12. Scatter diagram of m1 length vs SDQ for Eemian (time slice 4) Arvicola samples from different geographical provenances compared with M. savini-A. mosbachensis and Arvicola sapidus. Empty dotted ovals indicate the range of extant Arvicola ex gr. amphibius samples from Italy (cyan) and from the other European locations (green) Abbreviations: FR – France, GE – Germany, IT – Italy, SP – Spain.
Text-fig. 10. Scatter diagram of m1 length vs SDQ for Extant (time slice 1 and 2) Arvicola samples of different geographical provenances compared with M. savini-A. mosbachensis. Abbreviations: EU – Europe, GE – Germany, IT – Italy, SP – Spain. in Independent Water Vole (Mimomys Savini, Arvicola: Rodentia, Mammalia) Lineages In Italy And Central Europe
Text-fig. 10. Scatter diagram of m1 length vs SDQ for Extant (time slice 1 and 2) Arvicola samples of different geographical provenances compared with M. savini-A. mosbachensis. Abbreviations: EU – Europe, GE – Germany, IT – Italy, SP – Spain.
Text-fig. 1. SDQ vs stratigraphic time in samples of Mimomys savini and Arvicola from various Italian and German localities (in brackets: sample size), showing a parallel trend starting from ca. 200 ka. From Maul et al. (1998b: fig. 4), modified. in Independent Water Vole (Mimomys Savini, Arvicola: Rodentia, Mammalia) Lineages In Italy And Central Europe
Text-fig. 1. SDQ vs stratigraphic time in samples of Mimomys savini and Arvicola from various Italian and German localities (in brackets: sample size), showing a parallel trend starting from ca. 200 ka. From Maul et al. (1998b: fig. 4), modified.
Text-fig. 3 Ternary diagram of the relative abundance (in %) of juvenile, prime adult, and old adult specimens in samples of Castor fiber (data from Table 3). The red dots indicate the Pleistocene samples of Bilzingsleben II (B), Weimar- Ehringsdorf (E), and Weimar-Taubach (T), the black dot represents an extant population from Telemark in Norway (data from Campbell 2009). Abbreviations of zones (after Discamps and Costamagno 2015): JOP – Juveniles-Old-Prime dominated zone, JPO – Juveniles-Prime-Old dominated zone, O – Old dominated zone, P – Prime dominated zone. The diagram shows the position of all three fossil samples in the prime dominated zone. in Mortality Profiles Of Castor And Trogontherium (Mammalia: Rodentia, Castoridae), With Notes On The Site Formation Of The Mid-Pleistocene Hominin Locality Bilzingsleben Ii (Thuringia, Central Germany)
Text-fig. 3 Ternary diagram of the relative abundance (in %) of juvenile, prime adult, and old adult specimens in samples of Castor fiber (data from Table 3). The red dots indicate the Pleistocene samples of Bilzingsleben II (B), Weimar- Ehringsdorf (E), and Weimar-Taubach (T), the black dot represents an extant population from Telemark in Norway (data from Campbell 2009). Abbreviations of zones (after Discamps and Costamagno 2015): JOP – Juveniles-Old-Prime dominated zone, JPO – Juveniles-Prime-Old dominated zone, O – Old dominated zone, P – Prime dominated zone. The diagram shows the position of all three fossil samples in the prime dominated zone.
Text-fig. 9. Enamel differentiation index (SDQ) of Likhvinian (1, 2) and Mikulinian (3, 4) samples of Arvicola from the Russian Plain. in Late Pleistocene (Eemian) Mollusk And Small Mammal Fauna From Mikhailovka-5 (Kursk Oblast, Central Russia)
Text-fig. 9. Enamel differentiation index (SDQ) of Likhvinian (1, 2) and Mikulinian (3, 4) samples of Arvicola from the Russian Plain.
FIG. 5. — Placoderm scales from sample C925 in Earliest Devonian gnathostome microremains from central New South Wales (Australia)
FIG. 5. — Placoderm scales from sample C925, Cookeys Plains Formation (early Lochkovian), central New South Wales, Australia; A, romundinid dermal bone fragment with thin base, MMMC02628; B, romundinid dermal plate fragment MMMC02629 showing edge ornament; C, romundinid scale MMMC02630, latero-crown view; D, romundinid scale MMMC02631, crown view; E, F, romundinid dermal plate fragment MMMC02632, showing thick cross-section, and close-up of ornament tubercles; G,?brindabellaspid scale MMMC02633. Scale bars: A, C, D, F, G, 0.1 mm; B, E, 1.0 mm.
FIG. 2. — Acanthodian scales from sample C925 in Earliest Devonian gnathostome microremains from central New South Wales (Australia)
FIG. 2. — Acanthodian scales from sample C925, Cookeys Plains Formation (early Lochkovian), central New South Wales, Australia; A-D, H, Nostolepis lacrima Valiukevicius, 1994; A, B, specimen MMMC02555; A, crown view; B, antero-lateral view; C, D, specimen MMMC02556; C, crown view; D, lateral view; H, vertical longitudinal ground thin section MMMC02557; remineralization has obscured histological details; E-G, Nostolepis sp.; E, F, specimen MMMC02558; E, crown view; F, anterolateral view; G,?branchial scale MMMC02559 in crown view. Anterior of scale faces to left in A-D, and to right in E-H. Scale bars: 0.1 mm.
FIG. 4. — Acanthodian scales from sample C923 in Earliest Devonian gnathostome microremains from central New South Wales (Australia)
FIG. 4. — Acanthodian scales from sample C923, Cookeys Plains Formation (early Lochkovian), central New South Wales, Australia; A, B, Nostolepis lacrima Valiukevicius, 1994 scale MMMC02551 in crown (anterior edge to right) and lateral (anterior edge to left) views; C, D, Nostolepis sp. scale of "N. applicata"-type MMMC02552 in crown and lateral views (presumed anterior edge to left); E, F, Gomphonchoporus hoppei (Gross, 1947) scale MMMC02553 in crown (anterior edge at bottom) and anterior views; G, H, Trundlelepis sp. scale MMMC02554 in crown and lateral views (anterior edge to right). Abbreviation: ms, median sulcus. Scale bars: 0.1 mm.
Performance analysis of micro-expression recognition over different sample image sizes.
<p>Performance of micro-expression recognition accuracy analyzed using different sample sizes with motion and geometric features. The sample sizes analyzed are: 140x170, 280x340, 560x680 and 1120x1360 using SMIC, CASMEII, CAS(ME)^2 and SAMM. The experiments were conducted using three different feature extraction setups: (i) optimized BiWOOF, (ii) full-face graph, and (iii) full-face graph with amplitude-based emotion magnification method (A-EMM). The results were compared with the results of the original BiWOOF presented in [1] as the baseline study. These files are published under CC0 license.</p> <p> </p> <p>References</p> <p>[1] Liong, S. T., See, J., Wong, K., & Phan, R. C. W. (2018). Less is more: Micro-expression recognition from video using apex frame. <em>Signal Processing: Image Communication</em>, <em>62</em>, 82-92.</p>
Text-fig. 2. Field photograph of the sampling locality, together with a schematic profile. Stratigraphic horizon from which the fossil wood fragment was extracted (white arrow) (Modified from Pires and Da Rosa 2000). in A New Fossil Fabaceae Wood From The Pleistocene Touro Passo Formation Of Rio Grande Do Sul, Brazil
Text-fig. 2. Field photograph of the sampling locality, together with a schematic profile. Stratigraphic horizon from which the fossil wood fragment was extracted (white arrow) (Modified from Pires and Da Rosa 2000).
Text-fig. 1. Map of westernmost part of Rio Grande do Sul showing the position of the sampling locality (star). Adapted from Oliveira and Kerber (2009). in A New Fossil Fabaceae Wood From The Pleistocene Touro Passo Formation Of Rio Grande Do Sul, Brazil
Text-fig. 1. Map of westernmost part of Rio Grande do Sul showing the position of the sampling locality (star). Adapted from Oliveira and Kerber (2009).
How many large samples can you scan with EBSD at once?
<p>In this video, I helped Xiaohan Zeng set up an EBSD run of 10 Ti-6Al-4V samples in a row on a Thermo Fisher high throughput Apreo SEM equipped with an Oxford Instruments' Symmetry 2 detector at the University of Manchester, UK.</p> <p>EBSD scan setup by Xiaohan Zeng (assisted by Dr Alec E Davis), sample preparation by Xiaohan Zeng, EBSD mapping calculator created by Dr Jack Donoghue. This research was supported by grants: NEWAM (EPSRC EP/R027218/1), LightForm (EPSRC EP/R001715/1), Henry Royce Institute for Advanced Materials (EPSRC EP/R00661X/1, EP/S019367/1, EP/P025021/1, and EP/P025498/1).</p>
Text-fig. 3. Scanning electron micrographs (a, b) and synchrotron radiation X-ray tomographic microscopy orthoslices (c–e) of flower of Lambertiflora elegans gen. et sp. nov. from the Early Cretaceous Puddledock locality, Virginia, USA (holotype, PP53796, Puddledock sample 082). a) Flower in lateral view showing long pedicel and overlapping elongated tepals; b) Detail of flower showing overlapping elongated tepals; note the numerous holes indicating the position of probable secretory cells; c) Flower in longitudinal section showing overlapping elongated tepals, remains of probable poorly developed stamens or staminodes and probable poorly developed carpels on the central conical gynoecial region of the receptacle (cut between orthoslices xz0510 and 0570); d) Flower in longitudinal section (comparable to c) showing overlapping tepals, poorly developed stamens or staminodes, and probable poorly developed carpels on the central conical gynoecial region of the receptacle; note the prominent cavities from secretory cells scattered through the tissues (cut between orthoslice xz0560 and 0575); e) Flower in transverse section showing overlapping tepals, poorly developed stamens or staminodes, and remains of probable poorly developed carpels (cut between orthoslices xy1160 and 1180). Scale bars = 1 mm (a), 500 µm (b–e). in Multiparted, Apocarpous Flowers From The Early Cretaceous Of Eastern North America And Portugal
Text-fig. 3. Scanning electron micrographs (a, b) and synchrotron radiation X-ray tomographic microscopy orthoslices (c–e) of flower of Lambertiflora elegans gen. et sp. nov. from the Early Cretaceous Puddledock locality, Virginia, USA (holotype, PP53796, Puddledock sample 082). a) Flower in lateral view showing long pedicel and overlapping elongated tepals; b) Detail of flower showing overlapping elongated tepals; note the numerous holes indicating the position of probable secretory cells; c) Flower in longitudinal section showing overlapping elongated tepals, remains of probable poorly developed stamens or staminodes and probable poorly developed carpels on the central conical gynoecial region of the receptacle (cut between orthoslices xz0510 and 0570); d) Flower in longitudinal section (comparable to c) showing overlapping tepals, poorly developed stamens or staminodes, and probable poorly developed carpels on the central conical gynoecial region of the receptacle; note the prominent cavities from secretory cells scattered through the tissues (cut between orthoslice xz0560 and 0575); e) Flower in transverse section showing overlapping tepals, poorly developed stamens or staminodes, and remains of probable poorly developed carpels (cut between orthoslices xy1160 and 1180). Scale bars = 1 mm (a), 500 µm (b–e).
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.