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Stem trichome mRNA-Seq dataset from the 20 accessions (part 3)
<p><strong>RNA isolation and sequencing</strong> </p> <p>Total RNA were isolated using the RNeasy Plant Mini Kit (QIAGEN) from 50 to 150mg of stem trichome material. RNA concentration and quality was assessed using the Agilent 2100 Bioanalyzer instrument (Agilent). mRNA sequencing was done using the Proton Ion system using PI chips and yielded between 25 and 33 million reads per sample.</p> <p><strong>Table of genotypes used</strong></p> <p> </p> <pre><code class="language-markdown">| accession | species | accession nr | synonym | origin | |------------|--------------------------------|--------------|---------|-------------| | LA2172 | S. arcanum | TR0009 | - | Peru | | LA1401* | S. cheesmaniae f. minor | EA00652 | - | Ecuador | | LA1840 | S. chmielewskii | - | - | unknown | | LA2695 | S. chmielewskii | EA00759 | - | Peru | | LA0407 | S. habrochaites f. glabratum | EA00558 | - | Ecuador | | LA1777 | S. habrochaites f. hirsutum | EA00703 | - | Peru | | PI134418 | S. habrochaites f. glabratum | TR00015 | LYC38 | unknown | | LYC4 | S. habrochaites f. hirsutum | TR00017 | - | unknown | | LA1718 | S. habrochaites f. glabratum | EA00699 | LYC4934 | Peru | | PI127826 | S. habrochaites f. hirsutum | - | - | Peru | | LA1364 | S. huaylasense | TR00030 | - | Peru | | Moneymaker | S. lycopersicum | - | C32 | Netherlands | | LA4024 | S. lycopersicum | TA209 | - | unknown | | LA2133 | S. neorickii/L. parviflorum | EA00729 | - | Peru | | LA0735 | S. neorickii | TR00025 | LYC140 | unknown | | LA0716 | S. pennellii | EA00585 | - | Peru | | LA1278 | S. peruvianum/pimpinellifolium | TR00005 | - | unknown | | LA1954 | S. peruvianum | EA00713 | - | Peru | | LA1578 | S. pimpinellifolium | EA00674 | - | Peru |</code></pre> <p> </p>
Scaled counts of trichome mRNA-seq from the 20 accessions
<p><strong>mRNA-seq scaled counts from stem trichomes of the 20 accessions. </strong></p> <p>Pipeline: rnaseq-analysis-kallisto-sleuth: release v0.2.2</p> <p><a href="https://github.com/BleekerLab/rnaseq-analysis-kallisto-sleuth/releases">https://github.com/BleekerLab/rnaseq-analysis-kallisto-sleuth/releases</a></p> <p> </p> <p>Transcriptome used: S. lycopersicum ITAG4.0 cDNA</p> <p><strong>Table of genotypes</strong></p> <p> </p> <pre><code class="language-markdown">| accession | species | accession nr | synonym | origin | |------------|--------------------------------|--------------|---------|-------------| | LA2172 | S. arcanum | TR0009 | - | Peru | | LA1401* | S. cheesmaniae f. minor | EA00652 | - | Ecuador | | LA1840 | S. chmielewskii | - | - | unknown | | LA2695 | S. chmielewskii | EA00759 | - | Peru | | LA0407 | S. habrochaites f. glabratum | EA00558 | - | Ecuador | | LA1777 | S. habrochaites f. hirsutum | EA00703 | - | Peru | | PI134418 | S. habrochaites f. glabratum | TR00015 | LYC38 | unknown | | LYC4 | S. habrochaites f. hirsutum | TR00017 | - | unknown | | LA1718 | S. habrochaites f. glabratum | EA00699 | LYC4934 | Peru | | PI127826 | S. habrochaites f. hirsutum | - | - | Peru | | LA1364 | S. huaylasense | TR00030 | - | Peru | | Moneymaker | S. lycopersicum | - | C32 | Netherlands | | LA4024 | S. lycopersicum | TA209 | - | unknown | | LA2133 | S. neorickii/L. parviflorum | EA00729 | - | Peru | | LA0735 | S. neorickii | TR00025 | LYC140 | unknown | | LA0716 | S. pennellii | EA00585 | - | Peru | | LA1278 | S. peruvianum/pimpinellifolium | TR00005 | - | unknown | | LA1954 | S. peruvianum | EA00713 | - | Peru | | LA1578 | S. pimpinellifolium | EA00674 | - | Peru |</code></pre> <p> </p> <p> </p>
Figure 1 in Open Access and the Future of the Scientific Research
Figure 1. Growth in manuscript submissions to the BioMed Central open access journals.
Stem trichome small RNA-Seq from the 20 accessions
<p><strong>Total and Small RNA Isolation</strong></p> <p>Total RNA from stem trichomes (n = 1) were isolated using concentrated TRIzol reagent (Life Technologies). Total RNA was isolated using the E.Z.N.A.<sup>®</sup> MicroElute RNA Clean Up Kit (Omega Bio-Tek). Briefly, TRIzol Reagent (Life Technologies) and chloroform was added according to the manufacturer's instructions. After centrifugation, the RNA-containing aqueous phase was collected, mixed with 1.5 volume of 100% ethanol and applied to a MicroElute spin column (Omega Bio-Tek). The column was washed according to the manufacturers's instructions: once with RWT buffer (Qiagen), once with RPE washing buffer (Qiagen) and finally with 80% ethanol. The RNA concentration was measured on a NanoDrop ND-2000 (Thermo Scientific) and RNA integrity was examined using the 2200 TapeStation System with Agilent RNA ScreenTapes (Agilent Technologies).</p> <p>Total RNA was spiked with ERCCs spike-in mix 1 (Life Technologies) as well as a synthetic spike-in set for Size Range Quality Control (SRQC) together with an External Reference for Data Normalization (ERDN; <a href="https://www.frontiersin.org/articles/10.3389/fpls.2016.01759/full#B38">Locati et al., 2015</a>). The total RNA was divided in a large and a small fraction. The large RNA fraction was bound to a mirVana™ spin column (mirVana™ miRNA Isolation Kit, Life Technologies) according to the manufacturer's instructions. Small RNAs (<200 nts) were purified from the flow-through by adding ethanol to a final concentration of 65% (v/v) and bound to an E.Z.N.A.<sup>®</sup> MicroElute spin column. The column was washed once with RWT buffer, once with RPE buffer and once with 80% ethanol (Qiagen). The concentration and integrity of small RNA was examined as described above.</p> <p><strong>Next-Generation Sequencing</strong></p> <p>Bar-coded small RNA libraries were generated according to the manufacturer's protocols using the Ion Total RNA-Seq Kit v2 and the Ion Xpress™ RNA-Seq bar-coding kit (Life Technologies). The size distribution and yield of the bar-coded libraries were assessed using the 2200 TapeStation System with Agilent D1K ScreenTapes (Agilent Technologies). Sequencing templates were prepared on the Ion Chef™ System using the Ion PI Hi-Q Chef Kit (Life Technologies). Sequencing was performed on an Ion Proton™ System using Ion PI v3 chips (Life Technologies) according to the manufacturer's instructions.</p> <p><strong>References</strong></p> <p>Locati et al. 2015. Improving small RNA-seq by using a synthetic spike-in set for size-range quality control together with a set for data normalization. <a href="https://www.ncbi.nlm.nih.gov/pubmed/25870415#">Nucleic Acids Res.</a> (2015). 43(14):e89. doi: 10.1093/nar/gkv303. </p> <p><strong>Table of genotypes used</strong></p> <pre><code class="language-markdown">| accession | species | accession nr | synonym | origin | |------------|--------------------------------|--------------|---------|-------------| | LA2172 | S. arcanum | TR0009 | - | Peru | | LA1401* | S. cheesmaniae f. minor | EA00652 | - | Ecuador | | LA1840 | S. chmielewskii | - | - | unknown | | LA2695 | S. chmielewskii | EA00759 | - | Peru | | LA0407 | S. habrochaites f. glabratum | EA00558 | - | Ecuador | | LA1777 | S. habrochaites f. hirsutum | EA00703 | - | Peru | | PI134418 | S. habrochaites f. glabratum | TR00015 | LYC38 | unknown | | LYC4 | S. habrochaites f. hirsutum | TR00017 | - | unknown | | LA1718 | S. habrochaites f. glabratum | EA00699 | LYC4934 | Peru | | PI127826 | S. habrochaites f. hirsutum | - | - | Peru | | LA1364 | S. huaylasense | TR00030 | - | Peru | | Moneymaker | S. lycopersicum | - | C32 | Netherlands | | LA4024 | S. lycopersicum | TA209 | - | unknown | | LA2386 | S. lycopersicoides | - | - | Peru | LA2133 | S. neorickii/L. parviflorum | EA00729 | - | Peru | | LA0735 | S. neorickii | TR00025 | LYC140 | unknown | | LA0716 | S. pennellii | EA00585 | - | Peru | | LA1278 | S. peruvianum/pimpinellifolium | TR00005 | - | unknown | | LA1954 | S. peruvianum | EA00713 | - | Peru | | LA1578 | S. pimpinellifolium | EA00674 | - | Peru |</code></pre>
Artikel- und Buchpublikationen aus der Soziologie: Open Science, Open Access zu Texten, Open Access zu Forschungsdaten, Open Access zu Forschungssoftware, Altmetrics [full record]
<p>Die Daten umfassen Stichproben an je 100 Journalartikeln und Buchpublikationen aus der Soziologie. Ausgwählt wurden Veröffentlichungen aus deutschsprachigen und nicht-deutschsprachigen Ländern.</p> <p>Für alle Artikel der Stichprobe wurde geprüft,</p> <p>1) ob sie im Gold Open Access verfügbar waren<br> 2) ob sie im Green Open Access verfügbar waren<br> 3) auf welchem Repository-Typ sie (im Falle einer Green Open Access Publikation) verfügbar waren<br> 4) seit wann sie im Green Open Access verfügbar waren<br> 5) ob Forschungsdaten zum Artikel verfügbar waren<br> 6) ob Forschungssoftware zum Artikel verfügbar war<br> 7) wie häufig der Artikel in Google Scholar zitiert wurde<br> 8) wie häufig der Artikel im Web of Science zitiert wurde<br> 9) wie häufig der Artikel in Scopus zitiert wurde<br> 10) wie häufig der Artikel in den Sociological Abstracts zitiert wurde<br> 11) wie viele Mendeley User Counts der Artikel aufwies<br> 12) wie häufig der Artikel getwittert wurde (Datenquelle: Topsy)</p> <p> </p> <p>Für alle Bücher der Stichprobe wurde geprüft,</p> <p>1) ob sie im Gold Open Access verfügbar waren<br> 2) ob sie im Green Open Access verfügbar waren<br> 3) auf welchem Repository-Typ sie (im Falle einer Green Open Access Publikation) verfügbar waren<br> 4) seit wann sie im Green Open Access verfügbar waren<br> 5) wie häufig das Buch in Google Scholar zitiert wurde<br> 6) wie häufig das Buch im Web of Science zitiert wurde (als Cited-Reference-Analyse)<br> 7) wie häufig das Buch in Scopus zitiert wurde<br> 8) wie häufig das Buch in der International Bibliography of the Social Sciences zitiert wurde<br> 9) wie viele Mendeley User Counts das Buch aufwies<br> 10) wie häufig das Buch getwittert wurde (Datenquelle: Topsy)</p> <p><br> Da die Impact-Informationen unter Copyright-Schutz der Datenbank-Anbieter stehen, können diese nicht frei zugänglich gemacht werden. Es existiert jedoch eine offen verfügbare Version dieser Datensammlung, die allerdings keine Impact-Informationen enthält.</p>
Distribution of peer-reviewed and non-peer-reviewed journals by their status as Open Access / Closed Access Journals and Discipline
<p>1) Shares of peer reviewed and non peer reviewed open access journals and closed access journals by discipline (using ulrichs periodicals subject categories)<br> 2) Shares of journals (social sciences, medicine) in german language that are peer reviewed/ non peer reviewed and that are available open access/ closed access (using ulrichs periodicals subject categories)</p> <p> </p>
Share of Open Access Journals among the Sociology Journals with the highest Journal Impact Factors (2002-2012)
<p>An overview on the portion of Open Access journals among the Sociology Journals with the highest JIF scores (2002-2012).</p>
Open Access Status of the 20 Journals with the highest JIF-Scores within the Subject Category General & Internal Medicine
<p>An Overview on the twenty journals with the highest Journal Impact Factors within the Subject Category General & Internal Medicine and their status as Open Access or Closed Access Journals.</p>
A dataset of Data Subject Access Request Packages
<h3>Overview</h3> <p>This dataset is a minimal example of Data Subject Access Request Packages (SARPs), as they can be retrieved under data protection laws, specifically the GDPR. It includes data from two data subjects, each with accounts for five major sevices, namely Amazon, Apple, Facebook, Google, and Linkedin.</p> <p> </p> <h3>Purpose and Usage</h3> <p>This dataset is meant to be an initial dataset that allows for manual exploration of structures and contents found in SARPs. Hence, the number of controllers and user profiles should be minimal but sufficient to allow cross-subject and cross-controller analysis. This dataset can be used to explore structures, formats and data types found in real-world SARPs. Thereby, the planning of future SARP-based research projects and studies shall be facilitated.<br><br>We invite other researchers to use this dataset to explore the structure of SARPs. The envisioned primary usage includes the development of user-centric privacy interfaces and other technical contributions in the area of data access rights. Moreover, these packages can also be used for examplified data analyses, although no substantive research questions can be answered using this data. In particular, this data does not reflect how data subjects behave in real world. However, it is representative enough to give a first impression on the types of data analysis possible when using real world data. </p> <h3> </h3> <h3>Data Generation </h3> <p>In order to allow cross-subject analysis, while keeping the re-identification risk minimal, we used research-only accounts for the data generation. A detailed explanation of the data generation method can be found in the paper corresponding to the dataset, accepted for the Annual Privacy Forum 2024.</p> <p>In short, two user profiles were designed and corresponding accounts were created for each of the five services. Then, those accounts were used for two to four month. During the usage period, we minimized the amount of identifying data and also avoided interactions with data subjects not part of this research. Afterwards, we performed a data access request via the controller's web interface. Finally, the data was cleansed as described in detail in the acconpanying paper and in brief within the following section.</p> <h3> </h3> <h3>Data Cleansing</h3> <p>Before publication, both possibly identifying information and security relevant attributes need to be obfuscated or deleted. Moreover, multi-party data (especially messages with external entities) must be deleted. If data is obfuscated, we made sure to substitute multiple occurances of the same information with the same replacement.<br>We provide a list of deleted and obfuscated items, the obfuscation scheme and, if applicable, the replacement.</p> <p>The list of obfuscated items looks like the following example:</p> <table> <tbody> <tr> <td>path</td> <td>filetype</td> <td>filename</td> <td>attribute</td> <td>scheme</td> <td>replacement</td> </tr> <tr> <td>linkedin\Linkedin_Basic</td> <td>csv</td> <td>messages.csv</td> <td>TO</td> <td>semantic description</td> <td>Firstname Lastname</td> </tr> <tr> <td>gooogle\Meine Aktivitäten\Datenexport</td> <td>html</td> <td>MeineAktivitäten.html</td> <td>IP Address</td> <td>loopback</td> <td>127.142.201.194</td> </tr> <tr> <td>facebook\personal_information</td> <td>json</td> <td>profile_information.json</td> <td>emails</td> <td>semantic description</td> <td>firstname.lastname@gmail.com</td> </tr> </tbody> </table> <h3> </h3> <h3>Data Characterization</h3> <p>To give you an overview of the dataset, we publicly provide some meta-data about the usage time and SARP characteristics of exports from subject A/ subject B.</p> <table> <tbody> <tr> <td>provider</td> <td>usage time<br>(in month)</td> <td>export options</td> <td>file types</td> <td># subfolders</td> <td># files</td> <td>export size</td> </tr> <tr> <td>Amazon</td> <td>2/4</td> <td>all categories</td> <td>CSV (32/49)<br>EML (2/5)<br>JPEG (1/2)<br>JSON (3/3)<br>PDF (9/10)<br>TXT (4/4)</td> <td>41/49</td> <td>51/73</td> <td>1.2 MB / 1.4 MB</td> </tr> <tr> <td>Apple</td> <td>2/4</td> <td>all data<br>max. 1 GB/ max. 4 GB</td> <td>CSV (8/3)</td> <td>20/1</td> <td>8/3</td> <td>71.8 KB / 294.8 KB</td> </tr> <tr> <td>Facebook</td> <td>2/4</td> <td> <p>all data</p> <p>JSON/HTML</p> <p>on my computer</p> </td> <td>JSON (39/0)<br>HTML (0/63)<br>TXT (29/28)<br>JPG (0/4)<br>PNG (1/15)<br>GIF (7/7)</td> <td>45/76</td> <td>76/117</td> <td>12.3 MB / 13.5 MB</td> </tr> <tr> <td>Google</td> <td>2/4</td> <td> <p>all data</p> <p>frequency once</p> <p>ZIP</p> <p>max. 4 GB</p> </td> <td>HTML (8/11)<br>CSV (10/13)<br>JSON (27/28)<br>TXT (14/14)<br>PDF (1/1)<br>MBOX (1/1)<br>VCF (1/0)<br>ICS (1/0)<br>README (1/1)<br>JPG (0/2)</td> <td>44/51</td> <td>64/71</td> <td>1.54 MB /1.2 MB</td> </tr> <tr> <td>LinkedIn</td> <td>2/4</td> <td>all data</td> <td>CSV (18/21)</td> <td>0/0 (part 1/2)<br>0/0 (part 1/2)</td> <td>13/18<br>19/21</td> <td> <p>3.9 KB / 6.0 KB</p> <p>6.2 KB / 9.2 KB</p> </td> </tr> </tbody> </table> <h3><br>Authors</h3> <p>This data collection was performed by Daniela Pöhn (Universität der Bundeswehr München, Germany), Frank Pallas and Nicola Leschke (Paris Lodron Universität Salzburg, Austria). For questions, please contact nicola.leschke@plus.ac.at.</p> <h3>Accompanying Paper</h3> <p>The dataset was collected according to the method presented in:<br>Leschke, Pöhn, and Pallas (2024). "How to Drill Into Silos: Creating a Free-to-Use Dataset of Data Subject Access Packages". Accepted for Annual Privacy Forum 2024.</p>
Impact of Open Access monographs, dataset for french-speaking countries
Open the record for dataset details and reuse information.
Aegilops Tauschii Accession TA1695 Pacbio HiFi genome and Annotation
<p>The wild wheat <em>Aegilops tauschii</em> accession TA1695 (Wheat Genetics Resource Center, Kansas State University) genome and annotation information: The assembly was performed using HiFiAsm with PacBio HiFi sequencing (~15x coverage) by KSTATE, and the annotation was completed by the Plant Genome and Systems Biology group of Helmohotz Center in Munich, Germany using custom pipelines.</p> <p> </p> <p> </p>
Maps for Human-scale Accessibility in London Central Activity Zone
<p>This dataset is the result of individual research aimed at developing a new metric, Human-Scale Accessibility (HSA), to assess the level of 15-minute cities locally. The basic unit of the dataset is streets, with HSA values calculated for all streets, along with the contributing variables.</p>
Dataset related to article "Long term follow-up after balloon expandable covered stents implantation for management of transcatheter aortic valve replacement related vascular access complications"
<p>This record contains raw data related to article “Long term follow-up after balloon expandable covered stents implantation for management of transcatheter aortic valve replacement related vascular access complications"</p> <p>Abstract</p> <p><strong>Objectives: </strong> To report the experience of a high-volume center with balloon-expandable (BE) stents implantation to manage vascular complications after transcatheter aortic valve replacement (TAVR).</p> <p><strong>Background: </strong> Despite increased operator experience and better devices, vascular complications after TAVR are still a major issue and covered stent implantation is often required.</p> <p><strong>Methods: </strong> We retrospectively collected baseline and procedural data about 78 consecutive patients who underwent BE stent implantation to manage a vascular complication after transfemoral TAVR. Primary endpoints were technical success, incidence of new-onset claudication and need for vascular interventions during long-term follow-up. Secondary endpoints included length of hospitalization, in-hospital and 30-day mortality, and major postoperative complications.</p> <p><strong>Results: </strong> BE stents implantation to manage vascular complications after TAVR was successfully performed in 96.2% of the cases, with bailout surgery required in two cases. One patient suffered in-hospital death. Predischarge Doppler Ultrasound revealed no cases of in-stent occlusion or fracture. At a median follow-up of 429 days (interquartile range, 89-994 days), no cases of symptomatic leg ischemia were reported and only one patient experienced new-onset claudication.</p> <p><strong>Conclusions: </strong> Our experience showed good periprocedural and long-term results of BE covered stent implantation to manage vascular complication after TAVR. Their great radial outward force may guarantee effective hemostasis without necessarily being associated with stent deformation/fracture resulting in restenosis or further interventions. More research is needed to define the role of BE covered stents in this setting.</p>
SocketSense Open Access Data
<p>This is the summary of SocketSense's open access data.</p> <p><strong>SocketSense (https://www.socketsense.eu/) </strong>is a<strong> EU funded </strong>project aimed to develop an innovative advanced sensor-based socket system that will enable comfortable socket manufacturing tailored to patients needs. The cutting-edge technology will use real-time monitoring of residual limb tissues evolvement by collecting data through advanced embedded sensors. The end product will be designed through biomechanical modelling and CAD/CAM tools and finally coming to life via additive manufacturing.<br>With SocketSense, the prosthetists will be able to achieve a good-fit socket within the same day when the patient needs a new one, and the technique will apply to all lower limb amputees (above knee and below knee).</p> <p>Publications list</p> <pre>1. <a href="https://doi.org/10.1109/biocas54905.2022.9948616">Wearable pressure sensing for lower limb amputees.</a> 2. <a href="https://isb2021.com/">Fuzzy-logic Inference System for Transfemoral Socket Rectification.</a> 3. <a href="https://isb2021.com/">Biomechanical response of residual limb: combining shear-wave elastography and finite element analysis. </a> 4. <a href="https://isb2021.com/">Ultrasound investigation of muscle size and muscle properties in transfemoral amputees. </a> 5. <a href="https://doi.org/10.1109/DSD53832.2021.00038">Evaluation of Time Series Clustering on Embedded Sensor Platform. </a> 6. <a href="https://doi.org/10.3390/s21155016">A scoping review of pressure measurements in prosthetic sockets of transfemoral amputees during ambulation: key considerations for sensor design.</a> 7.<a href="https://doi.org/10.3390/s21113764"> Development of Prototype Low Cost QTSS™ Wearable Flexible more Envirofriendly Pressure, Shear and Friction sensors for dynamic Prosthetic Fit Monitoring. </a> 8. <a href="https://doi.org/10.3390/s21113743">A Sensor-based Decision Support System for Transfemoral Socket Rectification.</a> 9. <a href="https://doi.org/10.5220/0010838600003123">A Mechatronics-Twin Framework based on Stewart Platform for Effective Exploration of Operational Behaviors of Prosthetic Sockets with Amputees. </a> 10. <a href="https://doi.org/10.3390/s22093103">Redundancy Reduction for Sensor Deployment in Prosthetic Socket: A Case Study.</a> 11. <a href="https://www.ot-world.com/index-en.html">Simultaneous intra-socket shear and pressure measurements of a transfemoral amputee during dynamic and static activities: a feasibility study. </a> 12. <a href="https://www.ot-world.com/index-en.html">A toolbox for bi-directional conversions between 3D prosthetic socket stress measurements and its representations in 2D. </a> 13.<a href="https://doi.org/10.3390/app12030986"> Analyzing Dynamic Operational Conditions of Limb Prosthetic Sockets with A Mechatronics-Twin Framework.</a> 14. <a href="https://www.diva-portal.org/smash/get/diva2:1371201/FULLTEXT01.pdf">Master Thesis: Wearable sensors in prosthetic socket. </a> 15. <a href="http://kth.diva-portal.org/smash/get/diva2:1524817/FULLTEXT01.pdf">Master Thesis: Effective Optimization of Deployment for Wearable Sensors in Transfemoral Prosthesis. </a> </pre> <p> </p> <p>Datasets list</p> <p><br>1. <a href="https://www.mdpi.com/1424-8220/21/11/3764">RISE_DS01_Development of Prototype Low-Cost QTSS™ Wearable Flexible More Enviro-Friendly Pressure, Shear, and Friction Sensors for Dynamic Prosthetic Fit Monitoring </a><br>DOI: 10.5281/zenodo.7400478 (This summary repository)<br>Repository link: https://www.mdpi.com/1424-8220/21/11/3764 <br>D.O.I linked Publication: https://www.mdpi.com/1424-8220/21/11/3764<br>2. <a href="https://www.socketsense.eu/wp-content/uploads/sites/50/2021/04/White-Paper-sensors-Nov-2020-v2.pdf">RISE_DS02_Whitepaper on sensors</a><br>DOI: 10.5281/zenodo.7400478 (This summary repository)<br>Repository link: https://www.socketsense.eu/wp-content/uploads/sites/50/2021/04/White-Paper-sensors-Nov-2020-v2.pdf<br>D.O.I linked Publication: https://www.socketsense.eu/wp-content/uploads/sites/50/2021/04/White-Paper-sensors-Nov-2020-v2.pdf<br>3. <a href="https://www.sspa.juntadeandalucia.es/servicioandaluzdesalud/hhuuvr/innovacion/GIT/repo">SAS_DS01_Sensor measurements</a><br>DOI: 10.5281/zenodo.7400478 (This summary repository)<br>Repository link (Limited access): https://www.sspa.juntadeandalucia.es/servicioandaluzdesalud/hhuuvr/innovacion/GIT/repo<br>4. <a href="https://www.sspa.juntadeandalucia.es/servicioandaluzdesalud/hhuuvr/innovacion/GIT/repo">SAS_DS02_Scales outcomes</a><br>DOI: 10.5281/zenodo.7400478 (This summary repository)<br>Repository link (Limited access): https://www.sspa.juntadeandalucia.es/servicioandaluzdesalud/hhuuvr/innovacion/GIT/repo<br>5. <a href="https://www.sspa.juntadeandalucia.es/servicioandaluzdesalud/hhuuvr/innovacion/GIT/repo">SAS_DS03_Ultrasound and elastography</a><br>DOI: 10.5281/zenodo.7400478 (This summary repository)<br>Repository link (Limited access): https://www.sspa.juntadeandalucia.es/servicioandaluzdesalud/hhuuvr/innovacion/GIT/repo<br>6.<a href="https://zenodo.org/record/7624740#.Y-UeuHbP1jE"> Össur_DS01_PilotStudy</a><br>SocketSense Össur DS01 Pilot Study<br>DOI: 10.5281/zenodo.7624740<br>Repository link: https://zenodo.org/record/7624740#.Y-UeuHbP1jE<br>7. <a href="https://zenodo.org/record/7624975#.Y-UvknbP1jE">Össur_DS01_PilotStudy_Shear+Pressure</a><br>SocketSense Össur DS01 Pilot Study Shear & Pressure<br>DOI: 10.5281/zenodo.7624975<br>Repository link: https://zenodo.org/record/7624975#.Y-UvknbP1jE<br>8. <a href="http://https://zenodo.org/record/7625218#.Y-UedXbP1jE">Össur_DS02_2DResidualLimbMaps</a><br>SocketSense Össur DS02 2D Residual Limb Maps<br>DOI: 10.5281/zenodo.7625218<br>Repository link: https://zenodo.org/record/7625218#.Y-UedXbP1jE<br>9. <a href="https://www.southtees.nhs.uk/about/strive/innovation-team/what-innovation-does/ ">STH_DS01_Patient data </a><br>DOI: 10.5281/zenodo.7400478 (This summary repository)<br>Repository link (Limited access): https://www.southtees.nhs.uk/about/strive/innovation-team/what-innovation-does/ <br>10.<a href="https://zenodo.org/record/7615573#.Y-JfdHbMLSE"> KTH_DS01_Sensor Redundancy Reduction</a><br>The program involved in the 2022 MDPI Sensors paper “Redundancy Reduction for Sensor Deployment in Prosthetic Socket: A Case Study”.<br>DOI: D.O.I: 10.5281/zenodo.7615573<br>Repository link: https://zenodo.org/record/7615573#.Y-JfdHbMLSE<br>11. <a href="https://zenodo.org/record/7615573#.Y-JfdHbMLSE">KTH_DS02_Sensor Clustering</a><br>The program involved in the 2021 24th Euromicro Conference on Digital System Designpaper “Evaluation of Time Series Clustering on Embedded Sensor Platform”.<br>DOI: 10.5281/zenodo.7615573<br>Repository link: https://zenodo.org/record/7615573#.Y-JfdHbMLSE<br>12. <a href="https://zenodo.org/record/7713030#.ZAn6mdLMIUE">KTH_DS03_Stewart_Platform_Mock_Trials</a><br>DOI: 10.5281/zenodo.7713030<br>Repository link: https://zenodo.org/record/7713030#.ZAn6mdLMIUE<br>13. <a href="https://zenodo.org/record/7713030#.ZAn6mdLMIUE">KTH_DS04_Biomechanical_Model</a><br>DOI: 10.5281/zenodo.7713030<br>Repository link: https://zenodo.org/record/7713030#.ZAn6mdLMIUE<br>14.<a href="https://zenodo.org/record/7713030#.ZAn6mdLMIUE"> KTH_DS05_Finite_Element_Analysis</a><br>DOI: 10.5281/zenodo.7713030<br>Repository link: https://zenodo.org/record/7713030#.ZAn6mdLMIUE<br>15. <a href="https://zenodo.org/record/7656763#.Y_NartLMIUE ">TWI_DS01_Samples of Rectified Transfemoral Sockets with Fuzzy-Logic-Based Decision Support System</a><br>This dataset contains sample rectified transfemoral sockets as an output of the fuzzy-logic DSS.<br>DOI: 10.5281/zenodo.7656763<br>Repository link: https://zenodo.org/record/7656763#.Y_NartLMIUE <br>D.O.I linked Publication: https://doi.org/10.3390/s21113743</p> <p><br> </p> <p> </p> <p> </p> <p> </p>
Expanded Access Use of Derazantinib for Advanced Intrahepatic Cholangiocarcinoma (iCCA) With FGFR Genomic Alterations
ClinicalTrials.gov study NCT04087876. IPD Sharing: Not stated. Countries: 0. Publications: 0.
Expanded Access for d-MAPPS™ Ophthalmic Solution, in the Treatment of Chronic Ocular Graft-Versus-Host Disease (oGVHD)
ClinicalTrials.gov study NCT07210619. IPD Sharing: Not stated. Countries: 0. Publications: 0.
Single Patient Compassionate Use / Expanded Access L-S-Gboxin (Lyophilized Form of S-Gboxin) for the Treatment of Diffuse Midline Glioma
ClinicalTrials.gov study NCT06439849. IPD Sharing: Not stated. Countries: 0. Publications: 0.
Continued Access Program for Tumor Treating Fields (TTFields) Used With Chemotherapy (Gemcitabine and Nab-Paclitaxel) in Adults With Locally Advanced Pancreatic Cancer (PANOVA-3CA)
ClinicalTrials.gov study NCT07319910. IPD Sharing: Not stated. Countries: 0. Publications: 0.
Inhaled Treprostinil Expanded Access Program in Pulmonary Hypertension Associated With Interstitial Lung Disease
ClinicalTrials.gov study NCT05572996. IPD Sharing: Not stated. Countries: 0. Publications: 0.
An Expanded Access Protocol for Sebelipase Alfa for Patients With Lysosomal Acid Lipase Deficiency
ClinicalTrials.gov study NCT02376751. IPD Sharing: Not stated. Countries: 0. Publications: 0.
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.