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.
1,456
datasets available to search
ShareScore release 0.9.0
Dataset results
1,456 results for “residues”
Fig. 7 in Taxonomic implications of the residual colour patterns of ampullinid gastropods and their contribution to the discrimination from naticids
Fig. 7. Species of the genus Amaurellina Bayle in Fischer, 1840, under UV light. A. Amaurellina spirata (Lamarck, 1804), MNHN A30484 (MNHN coll.), Grignon, Yvelines, France, Lutetian, in dorsal (A1) and apical (A2) views. B. Amaurellina spirata (Lamarck, 1804), MNHN A30884 (Faullummel coll.), Fontenay−en−Vexin, Eure, France, Lutetian, in dorsal view. C. Amaurellina spirata (Lamarck, 1804), MNHN A30485 (MNHN coll.), Grignon, in dorsal view. D. Amaurellina levesquei (d'Orbigny, 1850), MNHN A30879 (Faullummel coll.), Monampteuil, Aisne, France, Ypresian (Cuisian), in dorsal view. E. Amaurellina levesquei (d'Orbigny, 1850), MNHN A30878 (Faullummel coll.), Monampteuil, in dorsal view. F. Amaurellina levesquei (d'Orbigny, 1850), MNHN A30948 (MNHN coll.), Cuise−Lamotte, Oise, France, Ypresian (Cuisian), in dorsal view. G. Amaurellina sinuosa (d'Orbigny, 1850), MNHN A30432 (Faullummel coll.), Saint−Gobain, Aisne, France, Ypresian (Cuisian), in ventral (G1) and dorsal (G2) views. H. Amaurellina sinuosa (d'Orbigny, 1850), MNHN A30431 (Faullummel coll.), Saint−Gobain, in ventral (H1) and dorsal (H2) views. I. Amaurellina sinuosa (d'Orbigny, 1850), MNHN A30887 (Faullummel coll.), Saint−Gobain, in dorsal view. J. Amaurellina paludiniformis (d'Orbigny, 1850), MNHN A30490 (Faullummel coll.), Saint−Gobain, in ventral (J1) and dorsal (J2) views. K. Amaurellina paludiniformis (d'Orbigny, 1850), MNHN A30492 (Faullummel coll.), Saint−Gobain, in dorsal view. L. Amaurellina tuba (Deshayes, 1864), MNHN J02215 (Cossmann coll.), Hermonville, Marne, France, Lutetian, in ventral view. Scale bars 10 mm (A–C), 5 mm (D–L). Photographs by C. Lemzaouda and P. Loubry (MNHN).
Fig. 10 in Taxonomic implications of the residual colour patterns of ampullinid gastropods and their contribution to the discrimination from naticids
Fig. 10. Species of the genus Amauropsina Bayle in Chelot, 1885, under UV light. A. Amauropsina canaliculata (Lamarck, 1804), MNHN A30469 (MNHN coll.), Grignon, Yvelines, France, Lutetian, in dorsal view. B. Amauropsina canaliculata (Lamarck, 1804), MNHN A30468 (MNHN coll.), Grignon in ventral (B1) and dorsal (B2) views. C. Amauropsina canaliculata (Lamarck, 1804), MNHN J02165 (Cossmann coll.), Grignon, in dorsal view. D. Amauropsina canaliculata (Lamarck, 1804), MNHN A30467 (MNHN coll.), Grignon, in apical (D1) and dorsal (D2) views. E. Amauropsina arenularia (Vasseur, 1882), MNHN A30465, Villliers− Saint−Frédéric, Yvelines, France, Lutetian, in ventral (E1) and dorsal (E2) views. F. Amauropsina arenularia (Vasseur, 1882), MNHN A30471 (Vaquez coll.), Saffré (Bois−Gouët), Loire−Atlantique, France, Bartonian, in apical (F1), ventral (F2), and dorsal (F3) views. Scale bars 10 mm. Photographs by C. Lemzaouda and P. Loubry (MNHN).
Fig. 3 in Taxonomic implications of the residual colour patterns of ampullinid gastropods and their contribution to the discrimination from naticids
Fig. 3. Species of the genus Ampullina Bowdich, 1822, under UV light. A. Ampullina intermedia (Deshayes, 1832), MNHN A30418 (MNHN coll.), Cuise−la−Motte, Oise, France, Ypresian (Cuisian), in ventral (A1) and dorsal (A2) views. B. Ampullina intermedia (Deshayes, 1832), MNHN A30416 (MNHN coll.), Cuise−la−Motte, in ventral (B1) and dorsal (B2) views. C. Ampullina intermedia (Deshayes, 1832), MNHN A30415 (MNHN coll.), Cuisela−Motte, in labral view. D. Ampullina intermedia (Deshayes, 1832), MNHN A30417 (MNHN coll.), Cuise−Lamotte, in labral view. E. Ampullina intermedia (Deshayes, 1832), MNHN A30422 (d'Orbigny coll.), Cuise−Lamotte, in dorsal view. F. Ampullina merciniensis (Deshayes, 1864), MNHN J02199 (Cossmann coll.), Mercin−et−Vaulx, Aisne, France, Ypresian (Cuisian), in dorsal view. Scale bars 10 mm. Photographs by C. Lemzaouda and P. Loubry (MNHN).
Fig. 4 in Taxonomic implications of the residual colour patterns of ampullinid gastropods and their contribution to the discrimination from naticids
Fig. 4. Species of the genus Globularia sensu stricto Swainson, 1840, under UV light. A. Globularia (s.s.) sigaretina (Lamarck, 1804), MNHN A30859 (MNHN coll.), Grignon, Yvelines, France, Lutetian, in ventral (A1), labral (A2), and dorsal (A3) views. B. Globularia sigaretina (Lamarck, 1804), MNHN A30473 (Lamarck coll.), Parnes (Les Boves), Oise, France, Lutetian, in dorsal view. C. Globularia sigaretina (Lamarck, 1804), MNHN A30868 (MNHN coll.), Mary−sur−Marne, Seine−et−Marne, France, Bartonian (Auversian), in dorsal (C1) and labral (C2) views. D. Globularia berthelini (Cossmann, 1892), MNHN A30858 (MNHN coll.), Grignon, in dorsal view. E. Globularia berthelini (Cossmann, 1892), MNHN A30470 (MNHN coll.), Grignon, in dorsal view. F. Globularia berthelini (Cossmann, 1892), MNHN A30902 (MNHN coll.), Grignon, in abaperural view. G. Globularia patula (Lamarck, 1804), MNHN A30445 (MNHN coll.), Parnes, Oise, France, Lutetian, in ventral view. H. Globularia patula (Lamarck, 1804), MNHN A31167 (MNHN coll.), Grignon, in labral view. I. Globularia patula (Lamarck, 1804), MNHN A31169 (MNHN coll.), Grignon, in ventral (I1) and dorsal (I2) views. J. Globularia patula (Lamarck, 1804), MNHN A30438 (MNHN coll.), Parnes, in dorsal view. K. Globularia patula (Lamarck, 1804), MNHN A30437 (MNHN coll.), Parnes, in dorsal view. L. Globularia patula (Lamarck, 1804) MNHN A31168 (MNHN coll.), Grignon, in ventral (L1) and dorsal (L2) views. M. Globularia semipatula (Deshayes, 1864), MNHN A30488 (Faullummel coll.), Cuise−Lamotte, Oise, France, Ypresian (Cuisian), in ventral (M1), abapertural (M2), and dorsal (M3) views. N. Globularia splendida (Deshayes, 1864), MNHN A30487 (Faullummel coll.), Cuise−Lamotte, in dorsal view. O. Globularia patuloides (Cossmann and Pissarro, 1902), MNHN A31162 (Faullummel coll.), Le Guépelle, Val d'Oise, France, Bartonian, in dorsal (O1) and abapertural (O2) views. Scale bars 10 mm. Photographs by C. Lemzaouda and P. Loubry (MNHN).
Fig. 6 in Taxonomic implications of the residual colour patterns of ampullinid gastropods and their contribution to the discrimination from naticids
Fig. 6. Species of the genus Crommium Cossmann, 1888, under UV light. A. Crommium acutum (d'Orbigny, 1850), MNHN B58618 (MNHN coll.), Parnes, Oise, France, Lutetian, in ventral view. B. Crommium acutum (d'Orbigny, 1850), MNHN A30889 (MNHN coll.), Boursault, Marne, France, Lutetian, in ventral view. C. Crommium acutum (d'Orbigny, 1850), MNHN A30861 (MNHN coll.), Fleury−la−rivière, Marne, France, Lutetian, in ventral (C1) and dorsal (C2) views. D. Crommium grignonensis (d'Orbigny, 1850), type of Natica heberti Deshayes, 1864, MNHN J04185 (Hébert coll.), Chaumont−en−Vexin, Oise, France, Lutetian, in ventral view. Scale bars 10 mm. Photographs by C. Lemzaouda and P. Loubry (MNHN).
FIGURE 5 in A simulation-based examination of residual diversity estimates as a method of correcting for sampling bias
FIGURE 5. The performance of different implementations of the residual diversity estimate when a specific bias is forced to be the dominant influence. (5.1) Mean Spearman's rho values of four implementations of the RDE using the Smith and McGowan method. PFORM and PTAPH are set at 0.9 to minimise their influence, PLOC is variable. PMIST set at 0.1. (5.2) Mean Spearman's rho values of four implementations of the RDE using the Smith and McGowan method. LOC and PTAPH are set at 0.9 to minimise their influence, PFORM is variable. PMIST set at 0.1. The dashed red line indicates the critical value at p=0.05. Abbreviations as in Table 1.
FIGURE 7 in A simulation-based examination of residual diversity estimates as a method of correcting for sampling bias
FIGURE 7. Sample simulation comparing the results of the taxic, phylogenetic and residual diversity estimates to the true diversity. PFROM, PLOC and PTAPH set at 0.25. PMIST set at 0.1. Black box highlights instance where the Signor Lipps effect has been exaggerated by the PDE; the TDE and RDE both identify the rapid diversity decrease present in the true diversity. Abbreviations as in Table 1.
FIGURE 6 in A simulation-based examination of residual diversity estimates as a method of correcting for sampling bias
FIGURE 6. The performance of the phylogenetic diversity estimate when errors are introduced to the phylogeny. Mean Spearman's rho values of the PDE, TDE and the best performing implementation of the RDE. PLOC, PFORM and PTAPH set at 0.25. PMIST variable. The dashed red line indicates the critical value at p=0.05. Abbreviations as in Table 1.
FIGURE 4 in A simulation-based examination of residual diversity estimates as a method of correcting for sampling bias
FIGURE 4. The performance of different implementations of the residual diversity estimate examining faunas with varying degrees of homogeneity. PFORM, PLOC and PTAPH are set at 0.25. The rate of dispersal is increased relative to the rate of local extinction to increase the homogeneity of the faunas. The dashed red line indicates the critical value at p=0.05. Abbreviations as in Table 1.
FIGURE 1 in A simulation-based examination of residual diversity estimates as a method of correcting for sampling bias
FIGURE 1. An illustration of the taphonomic filter in the simulation, shown applied to a single taxon in a single time bin. The taxon is originally present in every locality in each region it occupies, but the taphonomic filter removes it from randomly selected localities
FIGURE 3 in A simulation-based examination of residual diversity estimates as a method of correcting for sampling bias
FIGURE 3. The performance of different implementations of the residual diversity estimate (RDE) under different sampling regimes. (3.1) Mean Spearman's rho values of four implementations of the RDE using Formations as a proxy, with values of PFORM, PLOC and PTAPH variable but equal. (3.2) Mean Spearman's rho values of four implementations of the RDE using Localities as a proxy. (3.3) Mean Spearman's rho values of four implementations of the RDE, all using the Smith and McGowan method. (3.4) Mean Spearman's rho values of the taxic and phylogenetic diversity estimate compared to those of the optimum implementation of the RDE. The dashed red line indicates the critical value at p=0.05. Abbreviations as in Table 1.
FIGURE 2 in A simulation-based examination of residual diversity estimates as a method of correcting for sampling bias
FIGURE 2. An illustration of how sampling proxies are generated in this simulation. This schematic illustrates which formations and localities in a single time bin contain fossils of at least one species of the simulated clade after application of the taphonomic filter. Formations and localities are removed at random, representing a lack of sampling. Note that the number of clade-bearing formations and localities does not necessarily equal the number of formations and localities sampled, allowing the generation of four sampling proxies.
CT-Scan Image Dataset of Residual Fluid-Driven Fracture in a Molasse de Villarlod Sandstone Core - Post-Radial Hydraulic Fracture Experiment - M04 Sample
<h3><strong>Dataset Description</strong></h3> <p>This dataset contains high-resolution CT-scan images that capture the residual fracture surface within a core sample of Molasse de Villarlod Sandstone. The core sample was extracted after conducting a radial hydraulic fracture experiment on a 25 × 25 × 25 cm cubic block of sandstone (M04 Smaple). The experiment was designed to simulate fluid-driven fracture propagation and closure, and the resulting fracture path was preserved in the core sample.</p> <p><strong>Core Location in the M04 Cube Sample:</strong></p> <ul> <li><strong>Z:</strong> 12.5 cm</li> <li><strong>South-North:</strong> 12.5 cm</li> <li><strong>West-East:</strong> 13.5 cm to 23.3 cm (Coring direction)</li> </ul> <p>This spatial information specifies the exact location and orientation of the core extraction within the M04 cube sample.</p> <h4><strong>CT-scan instrument details:</strong></h4> <p>The M04 sample was analyzed using an X-ray micro-CT scanner (RX-Solutions Ultratom) under consistent scanning protocols and parameters. A reflective 230 kV microfocus X-ray source (Hamamatsu L10801) equipped with a 0.2 mm thick copper filter, a tungsten cathode, and a tungsten target was employed for the imaging process. The scans were conducted with a voltage of 120 kV and a current intensity of 80 mA.</p> <p>The volume data acquisition was performed in continuous helical mode, ensuring complete coverage of the sample’s height. For sample M04, 5 full rotations were executed, with 1312 projections captured for each 360° rotation, allowing for highly precise volume reconstruction. The X-ray beam attenuation was recorded by an XL Varex Paxscan 2530HE plane detector with a resolution of 2176 x 1792 pixels, and an exposure time of 0.50 seconds per projection.</p> <p>The acquired projections were processed using RX-Solutions X-act software with Filtered Backprojection to reconstruct a corrected volume. This reconstruction yielded approximately 9000 slices in 16-bit TIFF format, with voxel dimensions of 10 x 10 x 10 microns, providing detailed insights into the internal structure of the sample.</p> <h4><strong>Key Features:</strong></h4> <ul> <li> <p><strong>Fracture Characteristics</strong>: The fracture observed in the CT-scans represents a residual opening that remains post-fracturation. It is entirely contained within the core, showcasing the internal fracture geometry resulting from the hydraulic fracturing process.</p> </li> <li> <p><strong>CT-Scan Details</strong>: The CT-scans were taken perpendicular to the fracture surface, offering a detailed cross-sectional view of the fracture at different depths. This orientation is critical for accurately capturing the fracture morphology and allows for the reconstruction of the fracture surface in 3D.</p> </li> <li> <p><strong>Material Information</strong>: The core sample is composed of Molasse de Villarlod Sandstone, a sedimentary rock which is porous (18% porosity) and permeable. This material choice is relevant for studying fracture closure subjected to the leak-off of the fluid inside the porous medium.</p> </li> <li> <p><strong>Experimental Context</strong>: The radial hydraulic fracture experiment aimed to simulate the propagation of hydraulic fracture and its closure due to the leakage of fluid inside fracture into the porous medium. The dataset provides valuable insights into fracture propagation patterns, surface roughness, and the effects of fluid-driven fractures in porous media.</p> </li> </ul> <h4><strong>Applications:</strong></h4> <p>This dataset is particularly valuable for researchers and engineers involved in:</p> <ul> <li>Fracture mechanics and surface characterization</li> <li>3D reconstruction and visualization of fracture surfaces</li> <li>Surface roughness analysis</li> <li>Hydraulic fracturing studies</li> <li>Geomechanical modeling</li> </ul> <h4><strong>File Structure:</strong></h4> <p>The dataset is organized into zip-folder contains .tif images corresponding to different depths within the core. Each tif-image is a CT-scan for that specific depth, labeled according to their position along the fracture path.</p> <h4><strong>Processing code:</strong></h4> <p>Follow the <strong>URL repository</strong> in the software section to access to the code for processing these images and reconstructing the fracture surfaces.</p> <p><strong>Acknowledgment:</strong></p> <p>We would like to extend our deepest thanks to Gary Perrenoud, Albert Taureg, and Lionel Pittet, the technical specialists of the PIXE platform at École Polytechnique Fédérale de Lausanne (EPFL). Their expertise and support in operating the CT-scan machine were important to the success of this research. We greatly appreciate their dedication and the high-quality work they provided.</p> <p><strong>Contact and Support:</strong></p> <p>Email:</p> <p>Brice Lecampion: brice.lecampion@epfl.ch</p> <p>Mohsen Talebkeikhah: m.talebkeikhah@gmail.com</p>
Dataset of article: Residual capacity of RC beams subjected to impact loading: influence of reinforcement ductility. Part 4: Series I20
<p><strong>Part 4: Series I20</strong></p> <p>Results in this dataset are presented in Johansson et. al. (2024). Any results used from this open access data shall be cited to:<br><br><span>Johansson M., Leppänen J., Andersson M. and Pettersson E. (2024). Residual Capacity of RC Beams Subjected to Impact Loading: Influence of reinforcement ductility. <em>International Journal of Protective Structures</em>. </span><a href="https://doi.org/10.1177/20414196241277221"><span>https://doi.org/10.1177/20414196241277221</span></a></p> <p>The presented data is based on Andersson and Pettersson (2019):</p> <p>Andersson M. and Pettersson E. (2019). Reinforced concrete beams subjected to drop-weight impact: Experimental study of the influence of reinforcement properties on the structural response. Department of Architecture and Civil Engineering. Gothenburg, Sweden: Chalmers University of Technology. Master’s Thesis ACEX30-19-27.</p> <p>---</p> <p>This dataset consists of the following records:</p> <p><strong>Part 1: General information</strong></p> <p>Andersson and Pettersson 2019 - Reinforced Concrete Beams Subjected to Drop-Weight Impact</p> <p><strong>Part 2: Series S</strong></p> <p>Static tests – COM Correlate files</p> <p><strong>Part 3: Series I10</strong></p> <p>Static tests – COM Correlate files</p> <p>Impact tests – High speed images</p> <p>Impact tests – COM Correlate files</p> <p><strong>Part 4: Series I20</strong></p> <p>Static tests – COM Correlate files</p> <p>Impact tests – High speed images</p> <p>Impact tests – COM Correlate files</p> <p><strong>Part 5: Result files</strong></p>
Dataset of article: Residual capacity of RC beams subjected to impact loading: influence of reinforcement ductility. Part 3: Series I10
<p><strong>Part 3: Series I10</strong></p> <p>Results in this dataset are presented in Johansson et. al. (2024). Any results used from this open access data shall be cited to:<br><br><span>Johansson M., Leppänen J., Andersson M. and Pettersson E. (2024). Residual Capacity of RC Beams Subjected to Impact Loading: Influence of reinforcement ductility. <em>International Journal of Protective Structures</em>. </span><a href="https://doi.org/10.1177/20414196241277221"><span>https://doi.org/10.1177/20414196241277221</span></a></p> <p>The presented data is based on Andersson and Pettersson (2019):</p> <p>Andersson M. and Pettersson E. (2019). Reinforced concrete beams subjected to drop-weight impact: Experimental study of the influence of reinforcement properties on the structural response. Department of Architecture and Civil Engineering. Gothenburg, Sweden: Chalmers University of Technology. Master’s Thesis ACEX30-19-27.</p> <p>---</p> <p>This dataset consists of the following records:</p> <p><strong>Part 1: General information</strong></p> <p>Andersson and Pettersson 2019 - Reinforced Concrete Beams Subjected to Drop-Weight Impact</p> <p><strong>Part 2: Series S</strong></p> <p>Static tests – COM Correlate files</p> <p><strong>Part 3: Series I10</strong></p> <p>Static tests – COM Correlate files</p> <p>Impact tests – High speed images</p> <p>Impact tests – COM Correlate files</p> <p><strong>Part 4: Series I20</strong></p> <p>Static tests – COM Correlate files</p> <p>Impact tests – High speed images</p> <p>Impact tests – COM Correlate files</p> <p><strong>Part 5: Result files</strong></p>
Dataset of article: Residual capacity of RC beams subjected to impact loading: influence of reinforcement ductility. Part 2: Series S
<p><strong>Part 2: Series S</strong></p> <p>Results in this dataset are presented in Johansson et. al. (2024). Any results used from this open access data shall be cited to:<br><br><span>Johansson M., Leppänen J., Andersson M. and Pettersson E. (2024). Residual Capacity of RC Beams Subjected to Impact Loading: Influence of reinforcement ductility. <em>International Journal of Protective Structures</em>. </span><a href="https://doi.org/10.1177/20414196241277221"><span>https://doi.org/10.1177/20414196241277221</span></a></p> <p>The presented data is based on Andersson and Pettersson (2019):</p> <p>Andersson M. and Pettersson E. (2019). Reinforced concrete beams subjected to drop-weight impact: Experimental study of the influence of reinforcement properties on the structural response. Department of Architecture and Civil Engineering. Gothenburg, Sweden: Chalmers University of Technology. Master’s Thesis ACEX30-19-27.</p> <p>---</p> <p>This dataset consists of the following records:</p> <p><strong>Part 1: General information</strong></p> <p>Andersson and Pettersson 2019 - Reinforced Concrete Beams Subjected to Drop-Weight Impact</p> <p><strong>Part 2: Series S</strong></p> <p>Static tests – COM Correlate files</p> <p><strong>Part 3: Series I10</strong></p> <p>Static tests – COM Correlate files</p> <p>Impact tests – High speed images</p> <p>Impact tests – COM Correlate files</p> <p><strong>Part 4: Series I20</strong></p> <p>Static tests – COM Correlate files</p> <p>Impact tests – High speed images</p> <p>Impact tests – COM Correlate files</p> <p><strong>Part 5: Result files</strong></p>
Dataset of article: Residual capacity of RC beams subjected to impact loading: influence of reinforcement ductility. Part 1: General information
<p><strong>Part 1: General information</strong></p> <p>Results in this dataset are presented in Johansson et. al. (2024). Any results used from this open access data shall be cited to:</p> <p><span>Johansson M., Leppänen J., Andersson M. and Pettersson E. (2024). Residual Capacity of RC Beams Subjected to Impact Loading: Influence of reinforcement ductility. <em>International Journal of Protective Structures</em>. </span><a href="https://doi.org/10.1177/20414196241277221"><span>https://doi.org/10.1177/20414196241277221</span></a><span> </span></p> <p>The presented data is based on Andersson and Pettersson (2019):</p> <p>Andersson M. and Pettersson E. (2019). Reinforced concrete beams subjected to drop-weight impact: Experimental study of the influence of reinforcement properties on the structural response. Department of Architecture and Civil Engineering. Gothenburg, Sweden: Chalmers University of Technology. Master’s Thesis ACEX30-19-27.</p> <p>---</p> <p>This dataset consists of the following records:</p> <p><strong>Part 1: General information</strong></p> <p>Andersson and Pettersson 2019 - Reinforced Concrete Beams Subjected to Drop-Weight Impact</p> <p><strong>Part 2: Series S</strong></p> <p>Static tests – COM Correlate files</p> <p><strong>Part 3: Series I10</strong></p> <p>Static tests – COM Correlate files</p> <p>Impact tests – High speed images</p> <p>Impact tests – COM Correlate files</p> <p><strong>Part 4: Series I20</strong></p> <p>Static tests – COM Correlate files</p> <p>Impact tests – High speed images</p> <p>Impact tests – COM Correlate files</p> <p><strong>Part 5: Result files</strong></p>
FIGURE 1 in Late Paleocene examples of residual coloration and embryonic features in juvenile marine mollusks from Northwest Louisiana
FIGURE 1. Geographic setting and location of the study well in northwest Louisiana. The Carter #2 Well location
FIGURE 2 in Late Paleocene examples of residual coloration and embryonic features in juvenile marine mollusks from Northwest Louisiana
FIGURE 2. Occurrences of Paleocene Wilcox molluscan species by their drilling depths in feet at the Carter #2 Core Hole (Sabine Parish, Louisiana). The first occurrence for each species encountered in the cores is circled in red. Occurrence data are listed in Table 1. Stratigraphic terminology and Geologic Ages are explained in the text.
Length of day residuals after the removal of tidal friction, glacial isostatic adjustment, and climatic effects: 720 BC to 2020
<p>LOD residuals after the removal of tidal friction, glacial isostatic adjustment, and climatic effects.<br>Time range 720 BC to 2020 AD.<br>Data are with respect to 2020.<br>First column: time in year (negative years mean BC)<br>Second column: LOD residuals in milliseconds<br>Third column: uncertainty of the LOD residuals in milliseconds</p> <p>If you use the data, please cite the following references:<br>1. The increasingly dominant role of climate change on length of day variations: Kiani Shahvandi et al. 2024 published in PNAS, https://doi.org/10.1073/pnas.2406930121<br>2. Length of day variations explained in a Bayesian framework: Kiani Shahvandi et al. 2024 published in GRL<br>3. Addendum 2020 to ‘Measurement of the Earth’s rotation: 720 BC to AD 2015’: Morrison et al. 2021 published in Proceedings of the Royal Society A, https://doi.org/10.1098/rspa.2020.0776</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.