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FIG. 3 in Radiolarian biostratigraphy of Paleogene deposits of the Russian Platform (Voronesh Anticline)
FIG. 3. — Regional and local stratigraphic subdivisions, in italics: the names of Formations, after Semenov (1965).
FIG. 11 in platform margin (lower Barremian, southern Vercors, SE France)
FIG. 11. — Location of the presumed scar zone on each flank of the Glandasse Plateau; A, eastern flank of the plateau; B, western flank of the plateau.
FIG. 8 in platform margin (lower Barremian, southern Vercors, SE France)
FIG. 8. — Composite photograph and interpretation of the western flank of the Glandasse Plateau (see Fig. 3 for location, area 4).
FIG. 1 in platform margin (lower Barremian, southern Vercors, SE France)
FIG. 1. — Palaeogeographic map of the Vocontian Basin and surrounding carbonate platforms during the Barremian times. Adapted from Jacquin et al. (1991).
FIG. 14 in platform margin (lower Barremian, southern Vercors, SE France)
FIG. 14. — Synthetic palaeogeographic map for the location and extension of the recognized scour zones and their effects in the southern Vercors and the Vocontian Basin (modified from Ferry 1976; Ferry & Flandrin 1977; Arnaud 1981). Figure provided by M. Olivier Parize, from the ENS Mines de Paris.
FIG. 2 in platform margin (lower Barremian, southern Vercors, SE France)
FIG. 2. — Schematic cross-section of the Barremian southern Vercors carbonate platform and its biostratigraphy. Adapted from Arnaud (1981) and Everts (1994); biostratigraphy after Rawson (1996).
FIG. 4 in platform margin (lower Barremian, southern Vercors, SE France)
FIG. 4. — Prograding (Bi5-1) and aggrading (Bi5-2) geometry of the Barremian southern Vercors carbonate platform (see Fig. 3 for location, northern part of area 3).
FIG. 12 in platform margin (lower Barremian, southern Vercors, SE France)
FIG. 12. — Plan view of the presumed extension surface of the disturbed zone over the Glandasse Plateau.
FIG. 6 in platform margin (lower Barremian, southern Vercors, SE France)
FIG. 6. — The northwestern flank of the Archiane Valley: Aubaise Combe (see Fig. 3 for location, area 2) showing Bi5 units. Bi5-1 progrades southwards whereas Bi5-2 has a more aggradational geometry.
FIG. 10 in platform margin (lower Barremian, southern Vercors, SE France)
FIG. 10. — Menée logs of the southern part of the eastern flank of the Archiane Valley showing two coarse bioclastic limestone units (white arrows) within the hemipelagic part of the Bi5 Member (see Fig. 3 for location, area 6).
FIG. 5 in platform margin (lower Barremian, southern Vercors, SE France)
FIG. 5. — The eastern flank of the Archiane Valley (see Fig. 3 for location, area 1): composite photograph, interpretation and thin sections of the Bi5 Member, from proximal to distal part. Notice that the thin section in the middle has been sampled in a place showing the distal effects of storms. Adapted from Quesne (1996).
FIG. 9 in platform margin (lower Barremian, southern Vercors, SE France)
FIG. 9. — Detailed observations of the disturbed zone on the western flank of the Archiane Valley (see Fig. 3 for location, area 5); A, disturbed zone structures; B, dip directions of the tilted blocks; C, imbricated limestone blocks; D, aircraft-wing-shaped slump features (cover lens for scale).
What's in a Cyber Threat Intelligence sharing platform? - Appendix
<p>This upload contains the Artificats i.e. surveys and answer datasets for our ACSAC 2021 paper.<br> <br> Full paper reference:</p> <p>Borce Stojkovski, Gabriele Lenzini, Vincent Koenig, and Salvador Rivas. 2021. What’s in a Cyber Threat Intelligence sharing platform?: A mixed-methods user experience investigation of MISP. In Annual Computer Security Applications Conference (ACSAC ’21), December 6–10, 2021, Virtual Event, USA. ACM, New York, NY, USA. https://doi.org/10.1145/3485832.3488030</p> <p>The research is supported by the Luxembourg National Research Fund through grant PRIDE15/10621687/SPsquared<br> </p> <p>+++++++++++++++++++++++++++++++++++++++<br> I) CONTENT:<br> +++++++++++++++++++++++++++++++++++++++</p> <p>A - Surveys<br> |_ "1 - UEQ+demographics.pdf" <br> |_ "2 - Sentence Completion.pdf"</p> <p>B - Raw participant data<br> |_ "1 - UEQ.csv"<br> |_ "2 - MISP - SC-Q1.csv"<br> |_ "2 - MISP - SC-Q2.csv"<br> |_ "2 - MISP - SC-Q3.csv"<br> |_ "2 - MISP - SC-Q4.csv"<br> |_ "2 - MISP - SC-Q5.csv"<br> |_ "2 - MISP - SC-Q6.csv"<br> |_ "2 - MISP - SC-Q7.csv"<br> |_ "2 - MISP - SC-Q8.csv"</p> <p><br> +++++++++++++++++++++++++++++++++++++++<br> II) DETAILS:<br> +++++++++++++++++++++++++++++++++++++++</p> <p>---------------------------------------<br> A - Surveys / 1 - UEQ+demographics.pdf<br> ---------------------------------------<br> - The file consists of two sections, namely the UEQ (page 1) and the Demographics part (pages 2-3). <br> - The User Experience Questionnaire (UEQ) is a validated instrument for measuring the user experience of interactive products that consists of 6 scales with 26 items in total [2]. For more information refer to the UEQ handbook [2] or to Section 4.1 of our paper.<br> - The Demographics part consists of 15 questions investigating the types of users and their respective needs on the MISP platform.</p> <p> <br> ---------------------------------------<br> A - Surveys / 2 - Sentence Completion.pdf<br> ---------------------------------------<br> - The file consists of 8 questions i.e. sentence completion stems presented to our study participants as explained in Section 4.1 of our paper.</p> <p><br> ---------------------------------------<br> B - Raw participant data / "1 - UEQ.csv"<br> ---------------------------------------<br> The file contains the (annonymized) raw participant data corresponding to the UEQ and demographics sections of the survey (file: "A - Surveys / 1 - UEQ+demographics.pdf"). It consists of the following fields:<br> - Participant ID<br> - 26 values (Q-ID 1.1 .. 1.26) corresponding to the 26 items of the UEQ scale<br> - 8 values (Q-ID 2.1.1 .. 2.1.8) corresponding to the Demographics question No. 1 ("Which of the following roles best describes how you (intend to) use MISP?")<br> - 14 values (Q-ID 2.2.1 .. 2.2.14) correspondign to the Demographics question No. 2. ("Which of the following categories best describes the organization you work in?")<br> - 1 value (Q-ID 2.3) corresponding to the Demographics question No. 3 ("How long have you been using MISP?")<br> - 1 value (Q-ID 2.4) corresponding to the Demographics question No. 4 ("If applicable, how often do you use MISP?")<br> - 1 value (Q-ID 2.5) corresponding to the Demographics question No. 5 ("Have you attended a training session on MISP before?")<br> - 1 value (Q-ID 2.6) corresponding to the Demographics question No. 6 ("Have you used the MISP training materials before?")<br> - 1 value (Q-ID 2.7) corresponding to the Demographics question No. 7 ("Have you used the MISP virtual machine before? ")<br> - 1 value (Q-ID XTR2.1) corresponding to the Demographics question No. 8 ("Have you used PyMISP - the Python library to access MISP via the API before? ")<br> - 1 value (Q-ID XTR2.2) corresponding to the Demographics question No. 9 ("Have you cloned a MISP repository before? ")<br> - 1 value (Q-ID XTR2.3) corresponding to the Demographics question No. 10 ("Have you contributed to any of the MISP repositories before? ")<br> - 1 value (Q-ID 2.8) corresponding to the Demographics question No. 11 ("Do you have an engineering or computer science background? ")<br> - 1 value (Q-ID 2.9) corresponding to the Demographics question No. 12 ("What is the highest level of school you have completed / degree you have received? ")<br> - 1 value (Q-ID 2.10) corresponding to the Demographics question No. 13 ("What is your age group?")<br> - 1 value (Q-ID 2.11) corresponding to the Demographics question No. 14 ("To which gender identity do you most identify?")</p> <p><br> ---------------------------------------<br> B - Raw participant data / "2 - SC-Q[1..8].csv"<br> ---------------------------------------<br> The 8 files contain the raw participant responses to the different sentence completion questions (see file: "A - Surveys / 2 - Sentence Completion.pdf"). Each file consists of two fields:<br> - Participant ID <br> - 1 value for the sentence completion input.</p> <p>For instance, the file "2 - SC-Q1.csv" corresponds to the Sentence completion stem "When I use MISP, I feel …". Similarly, "2 - SC-Q2.csv" corresponds to the Sentence completion stem "MISP is best for …". The same logic applies to all 8 files ("2 - SC-Q[1..8].csv").</p> <p>REFERENCES:</p> <p>[1] MISP. 2021. MISP - Open Source Threat Intelligence Platform & Open Standards For Threat Information Sharing. Retrieved August 15, 2021 from https://www.misp-project.org</p> <p>[2] UEQ. 2021. User Experience Questionnaire. Retrieved August 15, 2021 from https://www.ueq-online.org/</p> <p>[3] UEQ. 2021. User Experience Questionniare Handbook. Version 8 (31.12.2019). Retrieved August 15, 2021 from: https://www.ueq-online.org/Material/Handbook.pdf</p>
Modelling Cyclic Stretch of Patient-Derived Alveolar Epithelial Cells from Organoids using a New Alveoli-on-Chip Platform
<p><span>The data originates from lung tumor samples obtained at the University Hospital Bern. Patient-derived alveolar epithelial type 2 cells (AEC2) were isolated and cultured into organoids. Grown organoids where dissociated and seeded onto a novel alveoli-on-chip system submerged in medium. After 24 h of either no mechanical stimulus (control) or cyclic breathing stretch (stretch), RNA was isolated and sequenced. The RNA-seq data underwent quality control, alignment to the reference genome, read counting, DGE and GSEA. All analyses were run in R version 4.2.1.</span></p>
Climate-ecosystem modelling made easy: the Land Sites Platform - simulation results
<p>Model data to reproduce the experiments and figures presented in "Climate-ecosystem modelling made easy: the Land Sites Platform" (Keetz & Lieungh et al., accepted; publication details to be added).</p> <p>The repository includes model input data for the BOR1 site, and model output for two cases (simulations) executed for that site. Case "bor1-1000y-allpfts" was run with default settings, whereas case "bor1-1000y-grasspfts" was run with C3 grass and Arctic C3 grass as the only plant functional types.<br> Concatenated versions of the model output (made by combining monthly history files) for each case are stored in the top folder as NetCDF files (.nc). The full case folders, including monthly output under /archive/lnd/hist, are stored under "cases/" as zipped directories.<br> The "data/" folder contains model input data for the site, and is identical for the two cases.</p> <p>Jupyter notebooks to analyse the data and create the plots in Figure 4 of the article are stored under "notebooks/technical_paper_results/" in the NorESM-LSP GitHub repository, which is accessible in the same version as the submitted manuscript here: 10.5281/zenodo.7310652</p> <p>Description: Model data to reproduce the experiments and figures presented in "Climate-ecosystem modelling made easy: the Land Sites Platform".<br> Coverage: Geographical coordinates 9.07876, 61.0355. Forcing data from the closest 0.5-degree model grid cell.<br> Format: NetCDF (.nc), zipped directories (.zip), shell scripts (.sh), XML files (.xml), text files (.txt), and others<br> Language: English<br> Relation: 10.5281/zenodo.7310652, <br> Source: GSWP3 for input data (Dirmeyer, P. A., Gao, X., Zhao, M., Guo, Z., Oki, T. and Hanasaki, N. (2006) GSWP-2: Multimodel Analysis and Implications for Our Perception of the Land Surface. Bulletin of the American Meteorological Society, 87(10), 1381–98.)</p>
Data for "An optofluidic platform for interrogating chemosensory behavior and brainwide neural representation in larval zebrafish"
<p>This dataset contains the free arena data and imaging data for the following research paper.<br> <br> Sy, S.K.H., Chan, D.C.W., Chan, R.C.H. <em>et al.</em> An optofluidic platform for interrogating chemosensory behavior and brainwide neural representation in larval zebrafish. <em>Nat Commun</em> <strong>14</strong>, 227 (2023). https://doi.org/10.1038/s41467-023-35836-2</p>
SNAPPING PSI surface motion measurements over selected sites presented in MDPI Remote Sensing paper "SNAPPING Services on the Geohazards Exploitation Platform for Copernicus Sentinel-1 Surface Motion Mapping"
<p>SNAPPING PSI surface motion measurements over selected sites as presented in the paper with the title "SNAPPING Services on the Geohazards Exploitation Platform for Copernicus Sentinel-1 Surface Motion Mapping" by Michael Foumelis, Jose Manuel Delgado Blasco, Fabrice Brito, Fabrizio Pacini, Elena Papageorgiou, Panteha Pishehvar and Philippe Bally on Remote Sensing Open Access Journal.</p> <p>Whenever using this dataset, please cite its original paper (<a href="https://doi.org/10.3390/rs14236075">https://doi.org/10.3390/rs14236075</a>) and include the reference to this dataset (<a href="https://doi.org/10.5281/zenodo.7369653">https://doi.org/10.5281/zenodo.7369653</a>).</p> <p>This dataset includes average Line-of-Sight velocities for the following sites and dates:</p> <table> <tbody> <tr> <td><strong>Site name</strong></td> <td><strong>Country</strong></td> <td><strong>Period</strong></td> <td><strong>Relative orbit</strong></td> <td><strong>Orbit direction</strong></td> </tr> <tr> <td>Cap-Haïtien</td> <td>Haiti</td> <td>Jan-2017 / Dec-2019</td> <td>106</td> <td>ascending</td> </tr> <tr> <td>Gran Renaissance Ethiopian Dam</td> <td>Ethiopia</td> <td>Jan-2019 / Jun-2021</td> <td>50</td> <td>descending</td> </tr> <tr> <td>La Palma Volcano</td> <td>Spain</td> <td>Jun-2019 / Dec-2021</td> <td>169</td> <td>descending</td> </tr> <tr> <td>Santorini Volcano</td> <td>Greece</td> <td>Apr-2015 / May-2021</td> <td>29</td> <td>ascending</td> </tr> <tr> <td>San Francisco</td> <td>USA</td> <td>Jan-2016 / Dec-2020</td> <td>115</td> <td>descending</td> </tr> <tr> <td>Thessaloniki International Airport (SKG)</td> <td>Greece</td> <td>Apr-2015 / Dec-2020</td> <td>102</td> <td>ascending</td> </tr> </tbody> </table>
Droplet-Based Microfluidics Platform for the Synthesis of Single-Atom Heterogeneous Catalysts
<p>Data set supporting the publication of : "Droplet-Based Microfluidics Platform for the Synthesis of Single-Atom Heterogeneous Catalysts" (<a href="https://doi.org/10.1002/sstr.202200284">https://doi.org/10.1002/sstr.202200284</a>) by T. Moragues, S. Mitchell, D. Faust Akl, J. Pérez-Ramírez, and A. deMello.</p>
Paired omics Data Platform projects
<p>The Paired Omics Data Platform is a community-based initiative standardizing links between genomic and metabolomics data in a computer readable format to further the field of natural products discovery. The goals are to link molecules to their producers, find large scale genome-metabolome associations, use genomic data to assist in structural elucidation of molecules, and provide a centralized database for paired datasets. This dataset contains the projects in <a href="http://pairedomicsdata.bioinformatics.nl/">http://pairedomicsdata.bioinformatics.nl/</a>.</p> <p>The JSON documents adhere to the <a href="http://pairedomicsdata.bioinformatics.nl/schema.json">http://pairedomicsdata.bioinformatics.nl/schema.json</a> JSON schema.</p>
TopSpec platform (pI-trap/Orbitrap/Omnitrap) combined data
<p>Data 1 name: 20221221_500nulInflix250ngulNIST_180umcell-90minfocusing_2_externalpower_alwayson_omnitrap_ECD40ms_2</p> <p>Description: A 4 µL mixture of infliximab (500ng/µL) and NISTmAb (250ng/µL) is aspirated by the Alias autosampler pI-trap system and transferred into the pI cell for 90-min, 2000V cIEF separation. After the focusing, the sample is slowly injected at 0.5 µL/min to Exploris 480 – omnitrap. Two experiments are set in the data acquisition method: 1. MS full scan with resolution 120 000. 2&3. MS/MS experiment performed by orbi-omnitrap. Two m/z ranges, 2481 ± 5 representing infliximab and 2471 ± 5 representing NISTmAb, respectively, are isolated and injected to the omnitrap, where ECD is executed with filament current 5.65A and irradiation time 40ms. Infliximab is the earlier peak at RT 12 -14 min, NISTmAb is the later peak 22 - 24 min.</p> <p>Data 2 name: 20221221_500nulInflix250ngulNIST_180umcell-90minfocusing_2_externalpower_alwayson_omnitrap_HCD30_1</p> <p>Description: A 4 µL mixture of infliximab (500ng/µL) and NISTmAb (250ng/µL) is aspirated by the Alias autosampler pI-trap system and transferred into the pI cell for 90-min, 2000V cIEF separation. After the focusing, the sample is slowly injected at 0.5 µL/min to Exploris 480 – omnitrap. Three experiments are set in the data acquisition method: 1. MS full scan with resolution 120 000. 2&3. MS/MS experiment performed by orbi-omnitrap. Two m/z ranges, 2481 ± 5 representing infliximab and 2471 ± 5 representing NISTmAb, respectively, are isolated and get fragmented with HCD by orbitrap. HCD collision energy is set at 30%. Infliximab is the earlier peak at RT 12 -14 min, NISTmAb is the later peak 22 - 24 min.</p> <p>Data 3 name: 20221216_1ugulInflix100ngulNIST_180umcell-90minfocusing_2_externalpower_alwayson_omnitrap_EID50ms_2</p> <p>Description: A 4 µL mixture of infliximab (1000ng/µL) and NISTmAb (100ng/µL) is aspirated by the Alias autosampler pI-trap system and transferred into the pI cell for 90-min, 2000V cIEF separation. After the focusing, the sample is slowly injected at 0.5 µL/min to Exploris 480 – omnitrap. Two experiments are set in the data acquisition method: 1. MS full scan with resolution 60 000. 2&3. MS/MS experiment performed by orbi-omnitrap. Two m/z ranges, 2481 ± 5 representing infliximab and 2471 ± 5 representing NISTmAb, respectively, are isolated and injected to the omnitrap, where ECD is executed with filament current 5.65A and irradiation time 40ms. 4. MS full scan with resolution 7500. Infliximab is the earlier peak at RT 12 -14 min, NISTmAb is the later peak 22 - 24 min.</p>
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.