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458 results for “Data Protection”
Fig. 2 in Data On Protected And Insufficiently Known Insect Species Obtained From The Invertebrate Monitoring In Latvia (2015 - 2016)
Fig. 2. The spatial arrangement scheme of the monitoring activities in one of the squares.
Fig. 1 in Data On Protected And Insufficiently Known Insect Species Obtained From The Invertebrate Monitoring In Latvia (2015 - 2016)
Fig. 1. The layout of invertebrate monitoring sites in Latvia.
"Data Protection Can Sometimes Be a Nuisance" A Notification Study on Data Sharing Practices in City Apps
<p># A Notification Study on Data Sharing Practices in City Apps - Artifacts</p> <p>This archive contains the following artifacts of our study:<br>- [Pseudonymized data of our app analysis](pseudonymized_data.csv)<br> - a CSV file containing the data of our dynamic app analysis<br> - the columns represent the dates of our measurements<br> - the rows are the analyzed apps, we replaced the names<br> - the groups are as follows: <br> - 1 generic notification<br> - 2 legal notification<br> - 3 technical guidance notification<br> - each cell contains the trackers to which we observed HTTP requests, divided by `|`<br>- [Mail templates](./mail_templates/)<br> - the templates to the german notification mails we sent<br> - the `guides` directory contains the technical guidance specific to the observed tracker that we provided to the technical group</p>
Data and R code associated to the publication: "Effects of land use, cover and protection on stream and riparian ecosystem services and biodiversity"
<p>This R code and dataset accompany Hanna et al's 2019 publication in Conservation Biology titled "Effects of land use, cover and protection on stream and riparian ecosystem services and biodiversity". Read the "Metadata" tab of the data file and code annotations for more information. </p>
Replication data and theory code for: Observation of a Majorana zero mode in a topologically protected edge channel
<p>Replication Data for: Observation of a Majorana zero mode in a topologically protected edge channel</p>
Source ELISA data for the manuscript "Restrained expansion of the recall germinal center response as biomarker of protection for influenza vaccination in mice"
<p>This repository contains the source ELISA data for the manuscript "Restrained expansion of the recall germinal center response as biomarker of protection for influenza vaccination in mice" currently under review by PLOS ONE.</p> <p>It supports the following figures:</p> <p>Fig 4A: rHA ELISA data miniHA study.xlsx<br> Fig 4B: Competition ELISA data miniHA study.xlsx<br> S7 Fig: Competition ELISA data POC study.xlsx</p> <p> </p> <p>Files include Raw OD's per plate and reported values analysis. </p> <p> </p>
VPS: Excavating High-Level C++ Constructs from Low-Level Binaries to Protect Dynamic Dispatching - (Evaluation Data)
<p>Evaluation data of the published paper: "VPS: Excavating High-Level C++ Constructs from Low-Level Binaries to Protect Dynamic Dispatching". The paper was published at the Annual Computer Security Applications Conference (ACSAC) 2019.</p> <p>The paper is available at: https://www.syssec.ruhr-uni-bochum.de/research/publications/VPS/</p> <p> </p> <p>Ab­stract</p> <p>Po­ly­mor­phism and in­heri­t­an­ce make C++ sui­ta­ble for wri­ting com­plex soft­ware, but si­gni­fi­cant­ly in­crea­se the at­tack sur­face be­cau­se the im­ple­men­ta­ti­on re­li­es on vir­tu­al func­tion ta­bles (vta­bles). These vta­bles con­tain func­tion poin­ters that at­ta­ckers can po­ten­ti­al­ly hi­jack and in prac­tice, vta­ble hi­ja­cking is one of the most im­portant at­tack vec­tor for C++ bi­na­ries. In this paper, we pre­sent VTa­ble Poin­ter Se­pa­ra­ti­on (VPS), a prac­tical bi­na­ry-le­vel de­fen­se against vta­ble hi­ja­cking in C++ ap­p­li­ca­ti­ons. Un­li­ke pre­vious bi­na­ry-le­vel de­fen­ses, which rely on un­sound sta­tic ana­ly­ses to match clas­ses to vir­tu­al call­si­tes, VPS achie­ves a more ac­cu­ra­te pro­tec­tion by re­stric­ting vir­tu­al call­si­tes to va­lidly crea­ted ob­jects. More spe­ci­fi­cal­ly, VPS en­su­res that vir­tu­al call­si­tes can only use ob­jects crea­ted at valid ob­ject con­struc­tion sites, and only if those ob­jects can reach the call­si­te. Mo­re­over, VPS ex­pli­cit­ly prevents false po­si­ti­ves (fal­se­ly iden­ti­fied vir­tu­al call­si­tes) from brea­king the bi­na­ry, an issue exis­ting work does not hand­le cor­rect­ly or at all. We eva­lua­te the pro­to­ty­pe im­ple­men­ta­ti­on of VPS on a di­ver­se set of com­plex, re­al-world ap­p­li­ca­ti­ons (Mon­goDB, MySQL ser­ver, Node.js, SPEC CPU2017/CPU2006), show­ing that our ap­proach pro­tects on aver­a­ge 97.8% of all vir­tu­al call­si­tes in SPEC CPU2006 and 97.4% in SPEC CPU2017 (all C++ bench­marks), with a mo­de­ra­te per­for­mance over­head of 11% and 9% geo­me­an, re­spec­tive­ly. Fur­ther­mo­re, our eva­lua­ti­on re­veals 86 false ne­ga­ti­ves in VTV, a po­pu­lar sour­ce-ba­sed de­fen­se which is part of GCC.</p>
Survey instrument, data, and code for paper "Freihardt, Buntaine, Bernauer (2024): Choosing to protect: Public support for flood defense over relocation in climate change adaptation. Environmental Research Letters. DOI 10.1088/1748-9326/ad6781"
<p>This is the survey instrument, data, and code underlying the manuscript:</p> <p>"Freihardt, Buntaine, Bernauer (2024): Choosing to protect: Public support for flood defense over relocation in climate change adaptation. Environmental Research Letters. DOI 10.1088/1748-9326/ad6781"</p>
Claudinha Data Protection Law (LGPD) Corpus
<p>This dataset contains privacy policies paragraphs in Portuguese. Each paragraph was annotated by an expert annotator, using a guideline (DOI: <a href="https://doi.org/10.5281/zenodo.13371432" target="_blank" rel="noopener">10.5281/zenodo.13371432</a>). Two types of notes were made: the category of the Brazilian Data Protection (LGPD) Law that fits the text and the level of compliance with LGPD.</p> <p>The categories are divided into three blocks: Omission of data required by law (block 1), Data processing (block 2), Unclear language and others (block 3). There are 3 levels of compliance, with level 1 being in compliance with the law, level 2 being partial potential non-compliance, and level 3 being potential total non-compliance.</p> <p>There are 6341 distinct paragraphs. The corpus has more records (8341 clauses), as there are duplications, since a paragraph can belong to more than one guideline category. Pontetially non-compliant clauses corresponds to 1413 records (21.9%). Below, statistics regarding the number of paragraphs belonging to each category and frequencies of categories in privacy policies.</p> <table> <tbody> <tr> <td> <h2><strong>Category</strong></h2> </td> <td> <h2><strong>Number of clauses</strong></h2> </td> <td> <h2><strong>Document frequency</strong></h2> </td> </tr> <tr> <td><strong>Block 1: Omission of data required by law</strong></td> </tr> <tr> <td>Access to data</td> <td>283</td> <td>61</td> </tr> <tr> <td>Anonymization, blocking and deletion</td> <td>204</td> <td>46</td> </tr> <tr> <td>Automated decision</td> <td>45</td> <td>19</td> </tr> <tr> <td>Category of processed data</td> <td>1427</td> <td>63</td> </tr> <tr> <td>Controller identification</td> <td>107</td> <td>47</td> </tr> <tr> <td>Data correction</td> <td>154</td> <td>52</td> </tr> <tr> <td>Duration of treatment</td> <td>234</td> <td>52</td> </tr> <tr> <td>Existence of treatment</td> <td>142</td> <td>37</td> </tr> <tr> <td>Express consent</td> <td>176</td> <td>41</td> </tr> <tr> <td>ID and contact DPO</td> <td>150</td> <td>46</td> </tr> <tr> <td>Non-consent</td> <td>91</td> <td>33</td> </tr> <tr> <td>Personal data source</td> <td>471</td> <td>55</td> </tr> <tr> <td>Portability</td> <td>97</td> <td>36</td> </tr> <tr> <td>Purpose of sharing</td> <td>119</td> <td>16</td> </tr> <tr> <td>Purpose of treatment</td> <td>1620</td> <td>71</td> </tr> <tr> <td>Revoke consent</td> <td>154</td> <td>50</td> </tr> <tr> <td>Right of deletion</td> <td>173</td> <td>40</td> </tr> <tr> <td>Third party sharing</td> <td>919</td> <td>69</td> </tr> <tr> <td><strong>Block 2: Data processing</strong></td> </tr> <tr> <td>Advertising</td> <td>215</td> <td>38</td> </tr> <tr> <td>Children data</td> <td>118</td> <td>37</td> </tr> <tr> <td>Cookies</td> <td>432</td> <td>60</td> </tr> <tr> <td>Consent by use</td> <td>339</td> <td>47</td> </tr> <tr> <td>Other consents</td> <td>73</td> <td>30</td> </tr> <tr> <td>Policy changes</td> <td>210</td> <td>61</td> </tr> <tr> <td>"Take it or leave it"</td> <td>50</td> <td>21</td> </tr> <tr> <td><strong>Block 3: Unclear language and others</strong></td> </tr> <tr> <td>Generic expressions</td> <td>244</td> <td>37</td> </tr> <tr> <td>Other unclear clauses</td> <td>94</td> <td>26</td> </tr> </tbody> </table> <p> </p>
Data and code for "Mesohabitat affinities of benthic macroinvertebrates in protected lowland rainforest streams of southeast Nicaragua"
<p>This repository contains all data and R script that accompanies "Mesohabitat affinities of benthic macroinvertebrates in protected lowland rainforest streams of southeast Nicaragua." Datasets includes raw macroinvertebrate and mesohabitat data, taxonomic information (family, genus, and resolution), and functional feeding group (FFG) designations based on Ramírez & Gutiérrez-Fonseca (2014).</p>
Extract of the project data from the LIFE KPI webtool. Deliverable 2.5 of the LIFE NatuReef project: Nature-based reef solution for coastal protection and marine biodiversity enhancement. LIFE22-NAT-IT-LIFE-NatuReef/101113742
<p>Key performance indicator, a quantifiable measure of performance over time for a specific objective.</p>
MD data for Ionizable cationic lipids and helper lipids synergistically contribute to RNA packing and protection in lipid-based nanomaterials
<p>The data stored in this repository is part of the journal article: Zimmer, D. N., Schmid, F., & Settanni, G. (2024). Ionizable Cationic Lipids and Helper Lipids Synergistically Contribute to RNA Packing and Protection in Lipid-Based Nanomaterials. <em>The Journal of Physical Chemistry B</em> <a href="https://doi.org/10.1021/acs.jpcb.4c05057" target="_blank" rel="noopener">https://doi.org/10.1021/acs.jpcb.4c05057</a></p> <p> </p> <p>Data of multiscale simulations of DLinDMA:DOPE:Cholesterol, DLinDMA:DSPC:Cholesterol, DLinDAP:DOPE:Cholesterol and DLinDAP:DSPC:Cholesterol in the presence of RNA. For each formulation, data is provided with different coarse-grained parameterizations (generic, adapted) and differents treatments of the RNA (ELN, noELN). Provided are the first and the final frame of each run, the associated topologies, and the respective gromacs input files.</p> <p><strong>> M_PE, M_PC, P_PE, P_PC</strong></p> <p>DLinDMA:DOPE:Cholesterol, DLinDMA:DSPC:Cholesterol, DLinDAP:DOPE:Cholesterol and DLinDAP:DSPC:Cholesterol in presence of a 40mer RNA fragment. </p> <ul> <li>cg_<strong>generic</strong>+aa: <ul> <li>cg: 2 microsecond production run based on a generic MARTINI parametrization <ul> <li>md_0.gro: first frame</li> <li>md_10.gro: final frame </li> <li>cg_rna_bilayer.top: Topology of the system</li> <li>cg_DLD{M/P}_lipid.itp: generic MARTINI topology of DLinDMA/DLinDAP</li> <li>martini_v2.0_CHOL_02.itp, martini_v2.0_DSPC_01.itp, martini_v2.0_ions, martini_v2.1.itp, martini_v2.1-dna.itp: Several MARTINI topology files for molecules not included in MARTINI</li> <li>Nucleic_A.itp or Nucleic_A_eln.itp: Topology of the RNA fragment for MARTINI</li> </ul> </li> <li>aa: 300/600 nanosecond production run based on CHARMM36 <ul> <li>md_0.gro: first frame</li> <li>md_60.gro: final frame </li> <li>backmapped.top: Topology of the system (including the parametrization of DLinDMA/DLinDAP)</li> <li>CHOL.itp, DOPE.itp, DSPC.itp, 40mer_autopsf.itp: topology files for Cholesterol, DOPE, DSPC and RNA fragment as they are not part of the standard molecules in CHARMM36.</li> </ul> </li> <li>ELN and noELN indicate presence or absence of an elastic network to fix the structure of the RNA during the cg runs. </li> <li>cgmdp: Gromacs input files for the cg runs</li> <li>aamdp: Gromacs input files for the aa runs</li> </ul> </li> <li>cg_<strong>adapted</strong>+aa: <ul> <li>cg: starting and ending frame of a 2 microsecond production run based on an adapted MARTINI parametrization <ul> <li>md_0.gro: first frame</li> <li>md_10.gro: final frame </li> <li>cg_rna_bilayer.top: Topology of the system</li> <li>martini_v2.0_DIDMA_20 or martini_v2.0_DIDAP_20: generic MARTINI topology of DLinDMA/DLinDAP</li> <li>martini_v2.0_CHOL_02.itp, martini_v2.0_DSPC_01.itp, martini_v2.0_ions, martini_v2.1-dna_cr1_POL_NACL.itp: Several MARTINI topology files for molecules not included in MARTINI</li> <li>Nucleic_A.itp or Nucleic_A_eln.itp: Topology of the RNA fragment for MARTINI</li> </ul> </li> <li>aa: 300/600 nanosecond production run based on CHARMM36 <ul> <li>md_0.gro: first frame</li> <li>md_60.gro: final frame </li> <li>backmapped.top: Topology of the system (including the parametrization of DLinDMA/DLinDAP)</li> <li>CHOL.itp, DOPE.itp, DSPC.itp, 40mer_autopsf.itp: topology files for Cholesterol, DOPE, DSPC and RNA fragment as they are not part of the standard molecules in CHARMM36.</li> </ul> </li> <li>ELN and noELN indicate presence or absence of an elastic network to fix the structure of the RNA during the cg runs. </li> <li>cgmdp: Gromacs input files for the cg runs</li> <li>aamdp: Gromacs input files for the aa runs</li> </ul> </li> </ul>
Determination of the geometric parameters of the defects based on the tomographically obtained data and their influence on the fatigue behavior of the S960 with laser cladded protective layers
<p>Original Figure 3: Geometric dimensions of the single-track deposition region of Aluminium-Bronze/S960</p>
Data for the project: Shifts in habitat suitability for harbour porpoises leads to reduced importance of Marine Protected Areas
<p><span>Location data from 111 tracked harbour porpoises were collected over the period 1997–2022 as part of a long-term satellite telemetry monitoring program in Denmark</span><span>. Individual harbour porpoises were fitted with Argos satellite tags after being incidentally trapped in pound nets, which are used in near-shore commercial fisheries in the Inner Danish waters</span><span>. </span><span>Argos tags were programmed to make a limited number of daily satellite uplinks and acquire a location at pre-defined times (time of day and duty cycles) to increase the battery lifetime. Duty cycles of the tags varied between 1 and 4 days. Pre-processing of l</span><span>ocation data included filtering out unlikely locations using the Argos-Filter v7.03 </span><span>and the removal of locations on land and those collected within 24 hours after tagging to reduce behavioural bias caused by capture and tagging</span><span>.</span><span> After the data cleaning process, 9 345 <span>locations collected by 111 harbour porpoises were included in this study with an average tracking duration of 118.5 days per individual (min = 8 days, max = 522 days).</span></span></p> <p><span><span>Dataset includes coordinates (latitude and longitude ) of each location and the season and time period it was collected.</span></span></p>
Data for "Are exotic saltmarsh species better than native species for coastal protection? "
<p>Full data for Figue 2~3 are saved in "Figure 2.xlsx" and "Figure 3.xlsx", and data for Figure 4a is saved in "Figure 4.xlsx".</p>
Data from: Protection of pepper plants from drought by microbacterium sp. 3J1 by modulation of the plant's glutamine and α-ketoglutarate content: a comparative metabolomics approach
<p><span>Desiccation-tolerant plants are able to survive for extended periods of time in the absence of water. The molecular understanding of the mechanisms used by these plants to resist droughts can be of great value for improving drought tolerance in crops. This understanding is especially relevant in an environment that tends to increase the number and intensity of droughts. The combination of certain microorganisms with drought-sensitive plants can improve their tolerance to water scarcity. One of these bacteria is <i>Microbacterium </i>sp. 3J1, an actinobacteria able to protect pepper plants from drought. In this study, we supplemented drought-tolerant and drought-sensitive plant rhizospheres with <i>Microbacterium</i> sp. 3J1 and analyzed their proteomes under drought to investigate the plant-microbe interaction. We also compare this root proteome with the proteome found in desiccation-tolerant plants. In addition, we studied the proteome of <i>Microbacterium</i> sp. 3J1 subjected to drought to analyze its contribution to the plant-microbe interaction. We describe those mechanisms shared by desiccation-tolerant plants and sensitive plants protected by microorganisms focusing on protection against oxidative stress, and production of compatible solutes, plant hormones, and other more specific proteins.</span></p>
Literature Survey of Electrostatic Incidents- Fire Protection Research Foundation report data
<p>The attached spreadsheet includes 89 incidents gathered as part of a FPRF report (report number FPRF-2021-07) "Static Electricity Incident Review" produced in August 2021. The report is available at: <a href="https://www.nfpa.org/News-and-Research/Data-research-and-tools/Electrical/Static-Electricity-Incident-Review ">https://www.nfpa.org/News-and-Research/Data-research-and-tools/Electrical/Static-Electricity-Incident-Review </a></p> <p>The incidents gathered are on electrostatic incidents found in the literature or public domain, and categorized in the following 10 columns:</p> <ol> <li>Incident Date</li> <li>Incident Location</li> <li>Incident Type</li> <li>Summary of Incident</li> <li>Potential NFPA 77 technical item that was breached</li> <li>Link/references to incident (if available)</li> <li>Number of Casualties</li> <li>Date last accessed</li> <li>Conclusions</li> <li>Why the incident happened.<br> </li> </ol>
Raw data fort the article: FLUOROSCOPY-GUIDED BILIARY PROCEDURES IN A PREGNANT, LIVER TRANSPLANT PATIENT: FETUS RADIATION PROTECTION
<p>We report three cases of clinically necessary, fluoroscopy-guided, percutaneous biliary procedures performed safely in a pregnant, liver transplant recipient using three different angiography suites. The uterine cumulative equivalent dose was 0.25 mSv, a value obtained by adding the doses of the three procedures described above, and which is relatively low when compared with the naturally occurring background radiation exposure for a 9-month pregnancy (~0.5-1 mSv). Our experience shows that staff knowledge, awareness and liaison promote the application of all dose reduction strategies possible while still achieving the clinical aim despite using different angiographic equipment.</p>
Probiotic Bacillus subtilis Protects against a-Synuclein Aggregation in C. elegans (fluorescence microscopy data)
<p>This project has been submitted by the Maria Doitsidou Lab.<br> <br> Project contents:<br> This project contains datasets of z-stack images of <em>C. elegans</em> strains used to study how the gut microbiome affects Parkinson’s disease. Each strain contains a chromosomal insertion containing YFP fused to α-synuclein (pkIs2386[Punc-54::α-synuclein::YFP + unc-119(+)]). The following<em> C. elegans</em> strains were used and/or created for this project:<br> NL5901 pkIs2386[Punc-54::α-synuclein::YFP + unc-119(+)]<br> MDH586 daf-2(e1370) III; pkIs2386<br> MDH585 daf-16(mu86) I; pkIs2386<br> MDH587 hsf-1(sy441) I; pkIs2386<br> MDH657 daf-2(e1370) III; daf-16(mu86) I; pkIs2386<br> MDH614 daf-2(gk390525) III; pkIs2386<br> MDH611 eat-2(ad465) II; pkIs2386<br> MDH711 lagr-1(gk331) I, pkIs2386<br> MDH725 sptl-3(ok1927) II; pkIs2386<br> MDH724 asm-3(ok1744) IV; pkIs2386.<br> <br> High magnification (40x objective) z stack images of the head region were obtained by using a Zeiss Axio imager 2 microscope.<br> <br> <br> Aim:<br> Study how a probiotic<em> B. subtilis</em> strain affects alpha-synuclein protein aggregation.<br> <br> Main results:<br> The authors showed that the probiotic<em> B. subtilis</em> strain PXN21 inhibits and clears a-synuclein aggregation in a <em>C. elegans </em>model. The bacterium acts via metabolites and biofilm formation to activate protective pathways in the host, including DAF-16/FOXO and sphingolipid metabolism.<br> <br> Contributors:<br> Maria Eugenia Goya, Feng Xue, Cristina Sampedro-Torres-Quevedo, Sofia Arnaouteli, Lourdes Riquelme-Dominguez, Andres Romanowski, Jack Brydon, Kathryn L. Ball, Nicola R. Stanley-Wall and Maria Doitsidou<br> <br> These datasets were used in the following publication:<br> <br> Probiotic Bacillus subtilis Protects against a-Synuclein Aggregation in <em>C. elegans</em><br> <br> Maria Eugenia Goya, Feng Xue, Cristina Sampedro-Torres-Quevedo, Sofia Arnaouteli, Lourdes Riquelme-Dominguez, Andres Romanowski, Jack Brydon, Kathryn L. Ball, Nicola R. Stanley-Wall and Maria Doitsidou<br> <br> Cell Reports January 14, 2020 30 367-380; first published January 14, 2020 <a href="https://doi.org/10.1016/j.celrep.2019.12.078">https://doi.org/10.1016/j.celrep.2019.12.078</a></p>
Data for "Reinfections and cross-protection in the 1918/19 influenza pandemic: Revisiting a survey among male and female factory workers"
<p>Dataset underlying the analysis of the paper: "Reinfections and cross-protection in the 1918/19 influenza pandemic: Revisiting a survey among male and female factory workers"</p> <p>The dataset includes the following variables:</p> <ul> <li>Sex - male, female</li> <li>Age2 - age in full years</li> <li>Grippe - influenza (oui = yes, non=no)</li> <li>Times_grippe - how often did the influenza occur (0-3)</li> <li>Reinfection - 0=no, 1=yes</li> <li>Reinfection_forte - was the reinfection stronger or the same (1) or weaker (0) as the first infection?</li> <li>Severeness - 1=mild, 2 and 3 = strong</li> <li>reinf_v1 - reinfection first wave 0=no, 1=yes</li> <li>vage1 - infection first wave 0=no, 1=yes</li> <li>reinf_v2 - reinfection second wave 0=no, 1=yes</li> <li>vage2 - infection second wave 0=no, 1=yes</li> <li>reinf_v3 - reinfection third wave 0=no, 1=yes</li> <li>vage3 - infection third wave 0=no, 1=yes</li> <li>reinf_y1919 - reinfection winter 1919 0=no, 1=yes</li> <li>vage_1919 - infection winter 1919 0=no, 1=yes</li> <li>Grippe1890 - illness 1890 0=no, 1=yes</li> </ul> <p> </p> <p> </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.