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.
1,055
datasets available to search
ShareScore release 0.9.0
Dataset results
1,055 results for “Bridge”
FIGURE 3 in Pectoral morphology in Doliodus: bridging the 'acanthodian'-chondrichthyan divide
FIGURE 3. Left pectoral fin of NBMG 10127/3 as preserved, in dorsal view: A, photograph of the fin, digitally enhanced to emphasize areas of calcified cartilage and denticle-covered fin web; B, annotated outline of principal features. Abbreviations as designated in the main body of the text. Anterior is to right. Scale bar = 5 cm.
FIGURE 5 in Pectoral morphology in Doliodus: bridging the 'acanthodian'-chondrichthyan divide
FIGURE 5. Dermal elements of the pectoral girdle in Doliodus reconstituted by scan segmentation analysis of NBMG 10127/3. A, C, external surfaces; B, D, internal surfaces. A, B, left fin spine; C, D, left prepectoral and
FIGURE 4 in Pectoral morphology in Doliodus: bridging the 'acanthodian'-chondrichthyan divide
FIGURE 4. Schematic reconstruction of the pectoral endoskeleton and dermal skeleton of the left side in Doliodus, based on the results of scan reconstitution using segmentation analysis of NBMG 10127/3. A, ventral view; B, dorsal view; C, lateral view. Anterior to top in A and B, to left in C. No scale. Note: parts of the pectoral fin spine shown here have been reconstructed for clarity.
FIGURE 2 in Pectoral morphology in Doliodus: bridging the 'acanthodian'-chondrichthyan divide
FIGURE 2. The main dermal and cartilaginous components of the pectoral region in Doliodus (NBMG 10127/3): A, schematic ventral view of Doliodus showing general arrangement of dermal spines; B, pectoral endoskeleton and dermal spines rendered from scan, viewed from below (also showing postpectoral spines of left side); C, the same viewed from above (postpectoral spines not shown). Anterior to top. Scale bar for B and C = 5 cm.
FIGURE 1 in Pectoral morphology in Doliodus: bridging the 'acanthodian'-chondrichthyan divide
FIGURE 1. General view of the Doliodus specimen NBMG 10127, showing the ventral part of the individual viewed in dorsal aspect, with major features identified. Abbreviations as designated in the main body of the text. Scale bar = 5 cm.
FIGURE 7 in Pectoral morphology in Doliodus: bridging the 'acanthodian'-chondrichthyan divide
FIGURE 7. Comparison of the pectoral spines in Doliodus and selected "acanthodians," all in ventral view. A, Erriwacanthus falcatus; B, Vernicomacanthus uncinatus; C, Lupopsyrus pygmaeus; D, Doliodus problematicus; E, Gyracanthides murrayi. Not to scale. A–C redrawn after Denison (1979), D redrawn after Warren et al. (2000).
Text-fig. 4. Palynological diagrams of Late Miocene deposits, North Caucasus. a. Tuapse highway bridge. b. Gaverdovsky. c. Volchaya Balka. in Late Miocene (Early Turolian) Vertebrate Faunas And Associated Biotic Record Of The Northern Caucasus: Geology, Taxonomy, Palaeoenvironment, Biochronology
Text-fig. 4. Palynological diagrams of Late Miocene deposits, North Caucasus. a. Tuapse highway bridge. b. Gaverdovsky. c. Volchaya Balka.
Text-fig. 3. Correlation model of the studied sections of Late Miocene deposits. a. Tuapse highway bridge. b. Gaverdovsky. c. Volchaya Balka. 1. reversed polarity; 2. normal polarity; 3. unstudied interval. in Late Miocene (Early Turolian) Vertebrate Faunas And Associated Biotic Record Of The Northern Caucasus: Geology, Taxonomy, Palaeoenvironment, Biochronology
Text-fig. 3. Correlation model of the studied sections of Late Miocene deposits. a. Tuapse highway bridge. b. Gaverdovsky. c. Volchaya Balka. 1. reversed polarity; 2. normal polarity; 3. unstudied interval.
Text-fig. 1. Geographic location of the studied sections. 1. Gaverdovsky, 2. Volchaya Balka, 3. Tuapse highway bridge, 4. Maikop city park. in Late Miocene (Early Turolian) Vertebrate Faunas And Associated Biotic Record Of The Northern Caucasus: Geology, Taxonomy, Palaeoenvironment, Biochronology
Text-fig. 1. Geographic location of the studied sections. 1. Gaverdovsky, 2. Volchaya Balka, 3. Tuapse highway bridge, 4. Maikop city park.
Suppl. files to: Cellular and molecular targets of nucleotide-tagged trithiola-to-bridged arene ruthenium complexes in the protozoan para-sites Toxoplasma gondii and Trypanosoma brucei
<p>These are supplementary files for the manuscript entitled:</p> <p>Cellular and molecular targets of nucleotide-tagged trithiolato-bridged arene ruthenium complexes in the protozoan parasites <em>Toxoplasma gondii</em>and <em>Trypanosoma brucei</em></p> <p>submitted to International Journal of Molecular Sciences</p> <p>by: <strong>Nicoleta Anghel<sup>1¥</sup>, Joachim Müller<sup>1¥*</sup>, Mauro Serricchio<sup> 2</sup>, Jennifer Jelk <sup>2</sup>, Peter Bütikofer<sup>2</sup>, Ghalia Boubaker<sup>1</sup>, Dennis Imhof<sup>1</sup>, Jessica Ramseier<sup>1</sup>, Oksana Desiatkina<sup>3</sup>, Emilia Păunescu<sup>3</sup>, Sophie Braga-Lagache<sup>4</sup>, Manfred Heller<sup>4</sup>, Julien Furrer<sup>3</sup>, Andrew Hemphill<sup>1*</sup></strong></p>
Data for article "Assembling diuranium complexes in different states of charge with a bridging redox-active ligand"
<p>This upload contains raw data (NMR, X-Ray, Elemental Analysis, AC & DC SQUID, EPR) files for the article.</p>
FEM-DEM bridging coupling for the modeling of gouge
<p><strong>Full Changelog</strong>: <a href="https://github.com/ManonVL/fem-dem-bridging-coupling/commits/v1.0.0">https://github.com/ManonVL/fem-dem-bridging-coupling/commits/v1.0.0</a><br> <br> This repository contains the data used in the paper "FEM-DEM bridging coupling for the modeling of gouge" (<a href="https://doi.org/10.1002/nme.7171">https://doi.org/10.1002/nme.7171</a>).</p>
Datset related to article "DUPLICATION OF EXONS 15 AND 16 IN MATRIN-3: A PHENOTYPE BRIDGING AMYOTROPHIC LATERAL SCLEROSIS AND IMMUNE-MEDIATED DISORDERS"
<p><strong>NGS analysis performed at Fondazione Besta carried out as part of the study reported at title </strong></p>
GNSS data of ambient vibrations and artificial excitations of the Aaresteg bridge.
<p>GNSS Data:</p> <p>- Instrument: Java GrAnt-G3T antenna and Septentrio PolaRx receiver</p> <p>- sampling rate: 20 Hz</p> <p>- Bandwidth of loop filter: auto adjust</p> <p>- Date: 2021-09-27</p> <p>Location:</p> <p>Instrument was set up on the eastern railing of the Aaresteg bridge, 1.125 m height above the wooden planks. The bridge was excited by jumping, twisting, running, walking, impulse hammering and combinations thereof. </p>
IEK3STE Model bridge matrices
<p>To make the hybrid energy-economy-environment model, IEK3STE, operational, a number of bridge matrices are required. These bridge matrices are presented in aggregate form in the file provided. The first worksheet, named aggregate bridge, outlines the bridge between the energy systems model and the Input-Output (IO) model in an aggregate format. This conversion process maps the 54 energy system sectors and technologies to the relevant 163 IO sectors. The second worksheet, sector import quota, displays the standard import quota used in the model. The third worksheet, product import shock, outlines the assumed import shares for the base version of the model. These assumed import shares are in addition to the previously imposed sector import quota.</p>
Data set from long-term wave, wind and response monitoring of the Bergsøysund Bridge
<p>Wind, wave, displacement and acceleration data have been collected in a measurement campaign on the Bergsøysund Bridge between the years 2014 and 2018. The data set is now available in this open-access research entry, for free access and download. The data is collected in two h5-files (hierachical data format), with sampling rates 2 Hz and 10 Hz, downsampled from the raw sampling rate of 200 Hz. Note that the data has undergone some minimal signal processing and adjustment, in line with that applied to the Hardanger Bridge data described in Fenerci et al. (2021). Tools and examples for import, data visualization and initial analysis are given in the opyndata Python package available on GitHub (Kvåle, 2022). Furthermore, a document briefly describing the hierarchy and structure of the data, is given. For more details on the measurement system and the bridge, it is referred to Kvåle and Øiseth (2017).</p> <p>The updated, copyrighted version of the appended preprint is published by ASCE with the following DOI: <a href="https://doi.org/10.1061/JSENDH.STENG-12095">10.1061/JSENDH.STENG-12095</a></p>
APPENDIX 12 in Detangling the effects of patch attributes on bryophyte diversity in fragmented subtropical secondary forests - a case study of land-bridge islands
APPENDIX 12. — Relationships of accumulative species number with accumulative sampling efforts for eight largest islands.
FIG. 2 in Detangling the effects of patch attributes on bryophyte diversity in fragmented subtropical secondary forests - a case study of land-bridge islands
FIG. 2. — Relationships of species richness with number of habitat types, area, elevation, shape irregularity, vegetative cover, and ISW for five bryophyte categories in 168 forest fragments of the Thousand Island Lake, China. The regression equations are derived from GLMMs. Note: ISW, the relative proportion of water within a circle of a diameter of 1000 m centered on a given island.
The Air Listening Station: Bridging the gap between Sound Art and Sonification - Sonification examples
<p><strong>Example audio files:</strong></p> <p>1) aesthetic_direction_01.mp3 --> Initial aesthetic direction/proof of concept created using 1 hour of PM_10 and PM_2.5 data rendered at a 10:1 ratio (i.e. 60 minutes of air quality data results in 6 minutes of audio). Created using the Ultimate Grainer module of Ajax Sound Studio’s Cecilia 5 audio signal processing environment.</p> <p>2) sample sonification - original - good AQ - 5x bad AQ.mp3 --> contains several example outputs created using the sonification instrument created in Supercollider presented during the <a href="https://radioart.zone/sunday-28-august">radio art zone broadcast on August 28, 2022</a></p> <ul> <li>[0:00] - original field recording before processing</li> <li>[0:30] - example of "good" air quality data</li> <li>[1:02] - example of "bad" air quality data #1</li> <li>[2:10] - example of "bad" air quality data #2</li> <li>[2:45] - example of "bad" air quality data #3</li> <li>[3:08] - example of "bad" air quality data #4</li> <li>[3:38] - example of "bad" air quality data #5</li> </ul>
Evaluating the Impact of the Bridge Clinic in Patients With Opioid Use Disorder
ClinicalTrials.gov study NCT04084392. IPD Sharing: YES. Countries: 1. Publications: 2.
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.