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.
282
datasets available to search
ShareScore release 0.9.0
Dataset results
282 results for “armour”
Thermophysical properties for the published article "Experiments and modelling on ASDEX Upgrade and WEST in support of tool development for tokamak reactor armour melting assessments"
<p>In order to model the macroscopic metallic melt motion realized in the poor-versus-efficient thermionic emitter leading edge exposures in the ASDEX-Upgrade outer divertor [1], the material library of the MEMENTO melt dynamics code, that previously only concerned tungsten [2] and beryllium [3], had to be extended to iridium and niobium. </p> <p>Reliable experimental data have been analyzed for the latent heats, specific isobaric heat capacity, electrical resistivity, thermal conductivity, mass density, vapor pressure, work function, total hemispherical emissivity and absolute thermoelectric power from the room temperature up to the normal boiling point of iridium and niobium as well as for the surface tension and the dynamic viscosity across the liquid state. Analytical expressions are recommended for the temperature dependence of these thermophysical properties, which involve high temperature extrapolations given the absence of extended liquid iridium and liquid niobium measurements. The analytical expressions, the details of their construction and the main references are included in the accompanying pdf.</p> <p>[1] S. Ratynskaia, K. Paschalidis, P. Tolias, K. Krieger, Y. Corre, M. Balden, M. Faitsch, A. Grosjean, Q. Tichit, R.A. Pitts, the ASDEX-Upgrade team, the WEST team and the Eurofusion MST1 team, "Experiments and modelling on ASDEX Upgrade and WEST in support of tool development for tokamak reactor armour melting assessments", Nucl. Mater. Energy 33 (2022) 101303.<br> [2] P. Tolias, "Analytical expressions for thermophysical properties of solid and liquid tungsten relevant for fusion applications", Nucl. Mater. Energy 13 (2017) 42.<br> [3] P. Tolias, "Analytical expressions for thermophysical properties of solid and liquid beryllium relevant for fusion applications", Nucl. Mater. Energy 31 (2022) 101195.</p>
Figures from: A Saharan fossil and the dawn of Neotropical armoured catfishes in Gondwana
<p>This repository contains high-resolution versions of the figures from the manuscript by Paulo M. Brito et al., "A Saharan fossil and the dawn of Neotropical armoured catfishes in Gondwana"</p>
Graphs for DCRs using SPD with shield for possible variation using standard and armoured fibre
<p>Dark Count Rate (DCR) graphs related to shield with possible variation using standard and armoured fibre for Single Photon Detector (SPD).</p>
→ Fig. 9. Antiarchan fish Bothriolepis leptocheira jeremejevi (Rohon, 1900), Sosnogorsk locality, Sosnogorsk Formation, lowermost Famennian, anterior median dorsal (A–G) and posterior median dorsal (H–M) plates of the trunk armour. A. IG KSC 155/5 in dorsal (A1) and visceral (A2) views. B. IG KSC 155/108 in dorsal (B1) and visceral (B2) views. C. IG KSC 155/97 in dorsal view. D. IG KSC 155/113 in dorsal (D1) and visceral (D2) views. E. IG KSC 155/140 in dorsal (E1) and visceral (E2) views. F. Impression of the dorsal surface of IG KSC 155/42. G. IG KSC 155/44 in dorsal view. H. Fragment of IG KSC 155/7 in dorsal view. I. IG KSC 155/1 in dorsal (I1) and visceral (I2) views. J. IG KSC 155/71 in dorsal view. K. Slightly deformed IG KSC 155/70 in dorsal (K1) and visceral (K2) views. L. IG KSC 155/158 in dorsal view. M. IG KSC 155/157 in dorsal (M1) and visceral (M2) views. Abbreviations: ADL, anterior dorso-lateral plate; alr, postlevator thickening; AMD, anterior median dorsal plate; cf.ADL, cf.AMD, and cf.MxL, area overlapping ADL, AMD or MxL respectively; cr.tp, posterior transversal internal crest; dlg1 and dlg2, anterior and posterior oblique dorsal sensory line groove; dma, tergal angle; dmr, dorsal median ridge; f.retr, levator fossa; grm, ventral median groove; l, lateral corner; mvr, median ventral ridge; MxL, mixilateral plate; npn, postnuchal notch; oa.ADL, oa.MxL and oa.PMD, area overlapped by ADL, MxL or PMD respectively; pa, posterior corner; pma, posterior marginal area; PMD, posterior median dorsal plate; pr.p, posterior process of AMD; pr.pl, external postlevator process; prv2, posterior ventral process of dorsal wall of trunk armour; pt1 and pt2, anterior and posterior ventral pit; pua, posterior unornamented area of PMD; rf, "round fossula"; sna, supranuchal area; tb, ventral tuberosity. in A new assessment of the Late Devonian antiarchan fish Bothriolepis leptocheira from South Timan (Russia) and the biotic crisis near the Frasnian-Famennian boundary
→ Fig. 9. Antiarchan fish Bothriolepis leptocheira jeremejevi (Rohon, 1900), Sosnogorsk locality, Sosnogorsk Formation, lowermost Famennian, anterior median dorsal (A–G) and posterior median dorsal (H–M) plates of the trunk armour. A. IG KSC 155/5 in dorsal (A1) and visceral (A2) views. B. IG KSC 155/108 in dorsal (B1) and visceral (B2) views. C. IG KSC 155/97 in dorsal view. D. IG KSC 155/113 in dorsal (D1) and visceral (D2) views. E. IG KSC 155/140 in dorsal (E1) and visceral (E2) views. F. Impression of the dorsal surface of IG KSC 155/42. G. IG KSC 155/44 in dorsal view. H. Fragment of IG KSC 155/7 in dorsal view. I. IG KSC 155/1 in dorsal (I1) and visceral (I2) views. J. IG KSC 155/71 in dorsal view. K. Slightly deformed IG KSC 155/70 in dorsal (K1) and visceral (K2) views. L. IG KSC 155/158 in dorsal view. M. IG KSC 155/157 in dorsal (M1) and visceral (M2) views. Abbreviations: ADL, anterior dorso-lateral plate; alr, postlevator thickening; AMD, anterior median dorsal plate; cf.ADL, cf.AMD, and cf.MxL, area overlapping ADL, AMD or MxL respectively; cr.tp, posterior transversal internal crest; dlg1 and dlg2, anterior and posterior oblique dorsal sensory line groove; dma, tergal angle; dmr, dorsal median ridge; f.retr, levator fossa; grm, ventral median groove; l, lateral corner; mvr, median ventral ridge; MxL, mixilateral plate; npn, postnuchal notch; oa.ADL, oa.MxL and oa.PMD, area overlapped by ADL, MxL or PMD respectively; pa, posterior corner; pma, posterior marginal area; PMD, posterior median dorsal plate; pr.p, posterior process of AMD; pr.pl, external postlevator process; prv2, posterior ventral process of dorsal wall of trunk armour; pt1 and pt2, anterior and posterior ventral pit; pua, posterior unornamented area of PMD; rf, "round fossula"; sna, supranuchal area; tb, ventral tuberosity.
Warming run (years 0001-0279) from Eisenman & Armour (2024)
<p>The following information is also included in the README.txt file accompanying the data.</p> <p><br>Citation for data:</p> <p>I. Eisenman and K. Armour (2024). The radiative feedback continuum from Snowball Earth to an ice-free hothouse. Nature Communications, https://doi.org/10.1038/s41467-024-50406-w</p> <p><br>Description of data:</p> <p>The Warming and Cooling simulations are both branched from the end of year 500 of a preexisting CESM2 pre-industrial (PI) simulation ("b.e21.B1850.f09_g17.CMIP6-piControl.001" by Danabasoglu et al., 2020). The kernel analysis uses the mean annual cycle averaged over years 480-499 of this PI simulation as the reference climate. Output from this PI simulation can be downloaded from<br>https://www.earthsystemgrid.org/dataset/ucar.cgd.cesm2.b.e21.B1850.f09_g17.CMIP6-piControl.001.atm.proc.monthly_ave.html</p> <p>For the first 150 years of the Warming run, we use a preexisting CESM2 simulation with CO2 increasing at 1%/year ("b.e21.B1PCT.f09_g17.CMIP6-1pctCO2.001" by Danabasoglu, 2019); data from this simulation is shared elsewhere and is mirrored here for convenience. This is followed by our simulation "WARMING1ppyCESM2cheyenne", which we ran until it failed with an error after year 0279. Hence the data for the Warming run comes from the following simulations:<br>- Year 0001-0150: b.e21.B1PCT.f09_g17.CMIP6-1pctCO2.001<br>- Year 0151-0279: WARMING1ppyCESM2cheyenne</p> <p>For the Cooling run, we decreased CO2 at 1%/year in the simulation "COOLING1ppyCESM2cheyenne". After year 140, we adjusted the processor (PE) layout for a more economical (but slower) load balancing, which required us to branch to a new case, "COOLING1ppyCESM2cheyenne2". This simulation failed with an error after year 278, and we commented out a line in the model code and re-ran starting from 12 years earlier using the case name "COOLING1ppyCESM2cheyenne3". This simulation failed with an error after year 332, and we commented out another line in the model code and re-ran starting in year 333 using the case name "COOLING1ppyCESM2cheyenne5" (there is no simulation "COOLING1ppyCESM2cheyenne4" in this collection). This simulation failed with an error after year 514. Hence the data for the Cooling run comes from the following simulations:<br>- Year 0001-0140: COOLING1ppyCESM2cheyenne<br>- Year 0141-0266: COOLING1ppyCESM2cheyenne2 [ignore the additional years 0267-0278 in this simulation)<br>- Year 0267-0332: COOLING1ppyCESM2cheyenne3<br>- Year 0333-0514: COOLING1ppyCESM2cheyenne5</p> <p>Further details regarding these simulations are given in the "Methods" section of the paper (Eisenman & Armour, 2024).</p> <p><br>Downloading the data:</p> <p>Model output from the Warming and Cooling runs, including all fields used in the kernel analysis, is split into three downloadable records on Zenodo:<br>- Warming run (years 0001-0279)<br>- Cooling run part 1 (years 0001-0266)<br>- Cooling run part 2 (years 0267-0514)<br>Links to the three records can be found at https://eisenman-group.github.io</p> <p><br>Please contact Ian Eisenman (eisenman@ucsd.edu) for model output fields not included in this collection.</p>
Cooling run (years 0267-0514) from Eisenman & Armour (2024)
<p>The following information is also included in the README.txt file accompanying the data.</p> <p><br>Citation for data:</p> <p>I. Eisenman and K. Armour (2024). The radiative feedback continuum from Snowball Earth to an ice-free hothouse. Nature Communications, https://doi.org/10.1038/s41467-024-50406-w</p> <p><br>Description of data:</p> <p>The Warming and Cooling simulations are both branched from the end of year 500 of a preexisting CESM2 pre-industrial (PI) simulation ("b.e21.B1850.f09_g17.CMIP6-piControl.001" by Danabasoglu et al., 2020). The kernel analysis uses the mean annual cycle averaged over years 480-499 of this PI simulation as the reference climate. Output from this PI simulation can be downloaded from<br>https://www.earthsystemgrid.org/dataset/ucar.cgd.cesm2.b.e21.B1850.f09_g17.CMIP6-piControl.001.atm.proc.monthly_ave.html</p> <p>For the first 150 years of the Warming run, we use a preexisting CESM2 simulation with CO2 increasing at 1%/year ("b.e21.B1PCT.f09_g17.CMIP6-1pctCO2.001" by Danabasoglu, 2019); data from this simulation is shared elsewhere and is mirrored here for convenience. This is followed by our simulation "WARMING1ppyCESM2cheyenne", which we ran until it failed with an error after year 0279. Hence the data for the Warming run comes from the following simulations:<br>- Year 0001-0150: b.e21.B1PCT.f09_g17.CMIP6-1pctCO2.001<br>- Year 0151-0279: WARMING1ppyCESM2cheyenne</p> <p>For the Cooling run, we decreased CO2 at 1%/year in the simulation "COOLING1ppyCESM2cheyenne". After year 140, we adjusted the processor (PE) layout for a more economical (but slower) load balancing, which required us to branch to a new case, "COOLING1ppyCESM2cheyenne2". This simulation failed with an error after year 278, and we commented out a line in the model code and re-ran starting from 12 years earlier using the case name "COOLING1ppyCESM2cheyenne3". This simulation failed with an error after year 332, and we commented out another line in the model code and re-ran starting in year 333 using the case name "COOLING1ppyCESM2cheyenne5" (there is no simulation "COOLING1ppyCESM2cheyenne4" in this collection). This simulation failed with an error after year 514. Hence the data for the Cooling run comes from the following simulations:<br>- Year 0001-0140: COOLING1ppyCESM2cheyenne<br>- Year 0141-0266: COOLING1ppyCESM2cheyenne2 [ignore the additional years 0267-0278 in this simulation)<br>- Year 0267-0332: COOLING1ppyCESM2cheyenne3<br>- Year 0333-0514: COOLING1ppyCESM2cheyenne5</p> <p>Further details regarding these simulations are given in the "Methods" section of the paper (Eisenman & Armour, 2024).</p> <p><br>Downloading the data:</p> <p>Model output from the Warming and Cooling runs, including all fields used in the kernel analysis, is split into three downloadable records on Zenodo:<br>- Warming run (years 0001-0279)<br>- Cooling run part 1 (years 0001-0266)<br>- Cooling run part 2 (years 0267-0514)<br>Links to the three records can be found at https://eisenman-group.github.io</p> <p><br>Please contact Ian Eisenman (eisenman@ucsd.edu) for model output fields not included in this collection.</p>
Fig. 4 in An ankylosaurid dinosaur from Mongolia with in situ armour and keratinous scale impressions
Fig. 4. Tail of an ankylosaurid dinosaur Tarchia cf. gigantea, ZPAL MgD I/113 from the Nemegt Formation at Altan Uul III, Mongolia, compared to tail of Saichania (MPC 100/1305) from the Baruungoyot Formation at Khulsan, Mongolia. Osteoderms found attached to the tail of ZPAL MgD I/113 are marked by numbers according to the Types 1–10 description in the text.
Fig. 3 in An ankylosaurid dinosaur from Mongolia with in situ armour and keratinous scale impressions
Fig. 3. An ankylosaurid dinosaur Tarchia cf. gigantea, ZPAL MgD I/113 from the Nemegt Formation at Altan Uul III, Mongolia. A. Dorsal view of the trunk. Skin impressions and osteoderms are visible on the trunk. Osteoderms are positioned in situ along the vertebral column. The specimen only represents the posterior part of the trunk. B. Interpretive drawing of osteoderms (white) and scale imprints (grey).
Fig. 5 in An ankylosaurid dinosaur from Mongolia with in situ armour and keratinous scale impressions
Fig. 5. Dorsal view of the most distal part of the tail preserved in an ankylosaurid dinosaur Tarchia cf. gigantea, ZPAL MgD I/113 from the Nemegt Formation at Altan Uul III, Mongolia. Five relatively small scutes cover the vertebrae (Types 6 and 8). Two large plates fuse to the centra of the three most distal vertebrae. Note the large grooves on both plates (darkened and arrowed), and the shapes of the distal keels. One handle vertebra is darkened to show the interlocking prezygapophyses and neural spines. Anterior is to the right.
FIGURE 11 in Review of the armoured catfish genus Hypostomus (Siluriformes: Loricariidae) from the Parnaíba River basin, Northeastern Brazil, with description of a new species
FIGURE 11 | Hypostomus species distribution map from the Parnaíba River basin, Northeast Brazil (except H. velhomonge, depicted in Fig.6), with biome delimitation.
FIGURE 5 in Review of the armoured catfish genus Hypostomus (Siluriformes: Loricariidae) from the Parnaíba River basin, Northeastern Brazil, with description of a new species
FIGURE 5 | Hypostomus velhomonge, color in life, UFPB 9566, paratype, 88.0 mm SL, with non-deposited material. Parnaíba River, Santa Filomena, Piauí, Brazil.
FIGURE 4 in Review of the armoured catfish genus Hypostomus (Siluriformes: Loricariidae) from the Parnaíba River basin, Northeastern Brazil, with description of a new species
FIGURE 4 | Ontogenetic development of plates from the anteromedial region of Hypostomus johnii and H. velhomonge. A. Hypostomus velhomonge, UFPB 8015, 73.58 mm SL; B. H. johnii UFPB 9535, 71.81 mm SL; C. H. velhomonge, UFPB 8015, 90.26 mm SL; D. H. johnii UFPB 9535, 90.54 mm SL; E. H. velhomonge, UFPB 9565, 118.29 mm SL; F. H. johnii UFPB 9267, 114.28 mm SL.
FIGURE 10 in Review of the armoured catfish genus Hypostomus (Siluriformes: Loricariidae) from the Parnaíba River basin, Northeastern Brazil, with description of a new species
FIGURE 10 | Hypostomus aff. pusarum, UFPB 11077, 164.5 mm SL, Ingazeiro reservoir, Paulistana, Piauí, Brazil.
FIGURE 8 in Review of the armoured catfish genus Hypostomus (Siluriformes: Loricariidae) from the Parnaíba River basin, Northeastern Brazil, with description of a new species
FIGURE 8 | Hypostomus johnii, UFPB 9268, 107.7 mm SL. Poti River, tributary of the Parnaíba River basin, Crateús, Ceará, Brazil.
FIGURE 3 in Review of the armoured catfish genus Hypostomus (Siluriformes: Loricariidae) from the Parnaíba River basin, Northeastern Brazil, with description of a new species
FIGURE 3 | Hypostomus velhomonge, UFPB 9565, holotype, 118.0 mm SL, rio Balsas, tributary of Parnaíba River, Maranhão State, Brazil.
FIGURE 6 in Review of the armoured catfish genus Hypostomus (Siluriformes: Loricariidae) from the Parnaíba River basin, Northeastern Brazil, with description of a new species
FIGURE 6 | Geographic distribution of Hypostomus velhomonge in the Parnaíba River basin, Northeast Brazil.
FIGURE 2 in Review of the armoured catfish genus Hypostomus (Siluriformes: Loricariidae) from the Parnaíba River basin, Northeastern Brazil, with description of a new species
FIGURE 2 | Phylogenetic tree with Bayesian inference for the mitochondrial cox1 gene, including species of Hypostomus that occur in the Parnaíba River (in bold), and other comparative species of the surrounding ecoregions: (H. pusarum and H. sertanejo from the Mid-Northeastern Caatinga) and H. velhochico from São Francisco ecoregion. The numbers above the branches are later probability values. H: Holocene.
FIGURE 1 in Review of the armoured catfish genus Hypostomus (Siluriformes: Loricariidae) from the Parnaíba River basin, Northeastern Brazil, with description of a new species
FIGURE 1 | Canonical Variable Analysis (CVA) with morphological data of Hypostomus species from the Parnaíba River basin.
Linked collectors and determiners for: Two new species of armoured spiders from Vietnam and Cambodia (Araneae: Tetrablemmidae: Pacullinae).
Natural history specimen data linked to collectors and determiners held within, "Two new species of armoured spiders from Vietnam and Cambodia (Araneae: Tetrablemmidae: Pacullinae)". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/9c0666f8-85bf-45bd-b77a-fec54d7e88cc">https://bionomia.net/dataset/9c0666f8-85bf-45bd-b77a-fec54d7e88cc</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/9c0666f8-85bf-45bd-b77a-fec54d7e88cc">https://gbif.org/dataset/9c0666f8-85bf-45bd-b77a-fec54d7e88cc</a>. Formatted as a Frictionless Data package.
Image-based deformation measurements for validation of fusion divertor armour under high heat flux loading
<p>This data set contains all the images, DIC data and python scripts and FE input files that allows the reproduction of all results in the paper "Image-based deformation measurements for validation of fusion divertor armour under high heat flux loading" that this data is linked to.</p>
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.