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SIRAH-CoV2 initiative: Nucleocapsid protein N-terminal RNA binding domain (PDB id:6M3M)
<p>This dataset contains the trajectory of a 10 microseconds-long coarse-grained molecular dynamics simulation of SARS-CoV2 Nucleocapsid protein N-terminal RNA binding domain (PDB id:6M3M). Simulations have been performed using the SIRAH force field running with the Amber18 package at the Uruguayan National Center for Supercomputing (ClusterUY) under the conditions reported in <a href="https://pubs.acs.org/doi/10.1021/acs.jctc.9b00006">Machado et al. JCTC 2019</a>, adding 150 mM NaCl according to <a href="https://pubs.acs.org/doi/10.1021/acs.jctc.9b00953">Machado & Pantano JCTC 2020</a>. </p> <p>The files 6M3M_SIRAHcg_rawdata.tar contains all the raw information required to visualize (on VMD), analyze, backmap, and eventually continue the simulations using Amber18 or higher. Step-By-Step tutorials for running, visualizing, and analyzing CG trajectories using <a href="https://academic.oup.com/bioinformatics/article/32/10/1568/1743152">SirahTools</a> can be found at www.sirahff.com.</p> <p>Additionally, the file 6M3M_SIRAHcg_10us_prot.tar contains only the protein coordinates, while 6M3M_SIRAHcg_10us_prot_skip10ns.tar contains one frame every 10ns.</p> <p>To take a quick look at the trajectory:</p> <p>1- Untar the file 6M3M_SIRAHcg_10us_prot_skip10ns.tar</p> <p>2- Open the trajectory on VMD using the command line:</p> <p>vmd 6W4B_SIRAHcg_prot.prmtop 6W4B_SIRAHcg_prot.ncrst 6W4B_SIRAHcg_prot_10us_skip10ns.nc -e sirah_vmdtk.tcl</p> <p>Note that you can use normal VMD drawing methods as vdw, licorice, etc., and coloring by restype, element, name, etc. </p> <p>This dataset is part of the SIRAH-CoV2 initiative.</p> <p>For further details, please contact Florencia Klein (fklein@pasteur.edu.uy) or Sergio Pantano (spantano@pasteur.edu.uy).</p>
Restart dataset for a single location in Norway ALP1 (61.0243N,8.12343E) for CTSM/FATES EMERALD Galaxy tutorial
<p>Restart files for CLM-FATES version 2.0.1 for <a href="https://github.com/NordicESMhub/ctsm/releases/tag/release-emerald-platform2.0.1">CLM-FATES EMERALD version 2.0.1</a>.</p> <p>CTSM_FATES-EMERALD_on_inputdata_version2.0.0_ALP1.tar_(restart_info):<br> - ALP1_refcase.datm.r.2300-01-01-00000.nc <br> - ALP1_refcase.datm.rs1.2300-01-01-00000.bin<br> - ALP1_refcase.cpl.r.2300-01-01-00000.nc <br> - ALP1_refcase.clm2.r.2300-01-01-00000.nc </p> <p>This dataset is being used in the <a href="https://training.galaxyproject.org/training-material/topics/climate/tutorials/fates/tutorial.html">Galaxy Training tutorial on CLM-FATES</a>.</p> <p> </p> <p>This work has been done in in collaboration with <a href="https://usegalaxy.eu/">Galaxy Europe</a> and <a href="https://www.eosc-life.eu/">EOSC-Life</a>:<br> - Within the 1st EOSC-Life Training Open Call, <a href="https://galaxyproject.eu/posts/2020/09/08/training-wp9-eosc-life/">two out of four proposals</a> have been awarded to the European Galaxy team to develop climate science e-learning material and mentoring and training opportunities for our communities.</p> <p>CLM-FATES documentation can be found <a href="https://fates-docs.readthedocs.io/en/latest/">here</a>.</p>
Human Dolichyl-Phosphate Alpha-N-Acetyl glucosaminyl transferase (DPAGT1); A Target Enabling Package
<p>The ER integral membrane enzyme dolichyl-phosphate alpha-N-acetyl glucosaminyl phosphotransferase (DPAGT1) catalyses the first step in the synthesis of the oligosaccharide-P-P-dolichol unit which provides the glycans structure for N-glycosylation of proteins. Mutations in DPAGT1 cause two muscle weakness conditions, limb-girdle congenital myasthenic syndrome (CMS) and congenital disorder of glycosylation type 1j (CDG1j). DPAGT1 overexpression has also been implicated in oral cancer. We have produced and solved structures of this integral membrane enzyme, DPAGT1 with the V264G mutation found in a patient with CMS, and complexes with a 50 nM inhibitor, tunicamycin. We have developed enzymatic activity and thermostability assays which have allowed us to assess the activity and stability of DPAGT1 mutants and the effect of small molecules. There are > 20 DPAGT1 associated missense variants in patients with CMS and CDG1j. We have mapped these mutations to the structure, and we will used the assays described here to assess how the activity and stability of DPAGT1 is affected by these missense variants.</p>
Data: Breeding progress for pathogen resistance is a second major driver for yield increase in German winter wheat at contrasting N levels
<p>This is the experimental data set of Zetzsche, et. al. (2020, Scientific Reports: doi.org/10.1038/s41598-020-77200-0) based on a three-year field trial (2014/15, 2015/16, 2016/7) of 178 German elite winter wheat cultivars.</p> <p>The table (QLB_BRIWECS_WW_fieldtrial_adjustMeans_treatments.csv) subsumes the adjusted mean values of four fungal disease scores (average ordinates) and six yield-related traits investigated at four treatments (T1: 110 kg N ha<sup>-1</sup>, no fungicides; T2: 110 kg N ha<sup>-1</sup> + fungicide; T3: 220 kg N ha<sup>-1</sup>, no fungicides; T4: 220 kg N ha<sup>-1</sup> + fungicide) of two replicates each over three years. Data of each trait are considered independent for all four treatments. Details of the plant material, the experimental site, the trail design as well as the phenotyping of the diseases and agronomical traits are given in the material and methods section of the related publication. Further metadata on the plant material and the trial design are provided in the Supplementary information of the publication.</p>
Palaeoecological records from BJM2 sediment core (Sebkha Boujmel, Southern Tunisia. 33°18'30.96" N, 11°5'0.68" E)
<p>Palaeoecological records from BJM2 sediment core (Sebkha Boujmel, Southern Tunisia. 33°18’30.96” N, 11°5’0.68” E (Latitude Y 33.3086, Longitude X 11.083522).</p> <p>1. Conventional AMS radiocarbon dates and reservoir-corrected and 2σ range calibrated ages from Sebkha Boujmel (BJM2 core).</p> <p>2. Output of the age-depth model for BJM2 core indicating depth and associated mean date for each cm (cal yr BP). The age model was obtained by third-degree polynomial regression with 10k model iteration using the package Clam 2.2.</p> <p>3. Pollen percentage for the three ecological groups (Mediterranean, steppe and desert taxa). The percentages are calculated with respect to a basic sum that only includes these three groups. Pollen taxa and types from the same genus or family and with the same ecology are grouped; including Boraginaceae (Moltkiopsis ciliata, Onosma and Echium), Ephedra sp. (Ephedra fragilis-t. and Ephedra distachia-t.) and Zygophyllaceae (Fagonia, Nitraria and Zygophyllum). Percentage of aquatics pollen are calculated based on the total sum of pollen grains identified in each pollen spectrum.</p> <p>4. Pollen and clay mineralogy data from Sebkha Boujmel. Percentages of (1) <strong>fresh water</strong> (Cyperaceae, Glyceria, Juncus, Lemna, Potamogeton, Rumex aquaticus-t., Typha/Sparganium-t.) and <strong>(2) Mediterranean tree and shrub</strong> (Buxus, Ceratonia, Cistus, Juniperus, Lamiaceae, Myrtus, Nerium, Olea, Papaveraceae, Pinus, Pistacia, Quercus ilex-t., Quercus deciduous-t., Rhus tripartita-t.) pollen taxa. (3) <strong>Wet / dry (W / D) pollen ratio</strong> (Poaceae + Cyperaceae/Asteraceae Cichorioideae + Asteraceae Asteroideae + Amaranthaceae Cornulaca/Traganum-t.). (4) <strong>Percentages of desert pollen taxa</strong> (Apiaceae, Asphodelus, Asteraceae Asteroideae, Asteraceae Cichorioideae, Calligonum, Capparis, Cistanche, Cleome, Cornulaca/Traganum-t., Crassulaceae, Cucurbitaceae, Echium, Ephedra distachia-t., Ephedra fragilis-t., Fagonia, Helianthemum, Malvaceae, Moltkiopsis ciliata, Neurada, Nitraria, Onosma, Reaumuria, Tamarix and Zygophyllum). (5) <strong>Illite</strong> <strong>[%] (Ill) / Kaolinite [%] (Kln) ratio</strong> and (6) <strong>Palygorskite percentages [%] (Plg)</strong>.</p> <p>5. Pollen percentage of Artemisia and selected anthropogenic pollen indicators (APIs) including cultivated (Cerealia-t., Corchorus, Ficus, Olea, Phoenix, Vitis), nitrophilous (Aizoaceae, Emex, Peganum, Polygonum) and introduced (Acacia cyanophylla-t., Casuarina, Eucalyptus) plant taxa. Percentage are calculated based on the total sum of pollen grains identified in each pollen spectrum.</p> <p>6. Pollen counts for BJM2 core (pollen grain count for each taxon by sample). + Lycopodium (added), Lycopodium (counted) and Sample weight [gr].</p> <p>7. Clay Mineralogy of BJM2 sediment core. </p> <p>Smectite [%] (Sme), METHOD/DEVICE: X-ray diffraction, clay fraction</p> <p>Illite [%] (Ill), METHOD/DEVICE: X-ray diffraction, clay fraction</p> <p>Palygorskite [%] (Plg), METHOD/DEVICE: X-ray diffraction, clay fraction</p> <p>Kaolinite [%] (Kln), METHOD/DEVICE: X-ray diffraction, clay fraction</p> <p>Chlorite [%] (Chl), METHOD/DEVICE: X-ray diffraction, clay fraction</p>
Supplementary files for "A comparison of single and double Co sites incorporated in N-doped graphene for the oxygen reduction reaction"
<p>DFT optimised structures used for the paper "A comparison of single and double Co sites incorporated in N-doped graphene for the oxygen reduction reaction". There is a separate database for structures on the Co-N4 single site, each of the Co double sites and the molecular references. Manual and NEB paths for the splitting of OOH and O2 are included as separate databases. The structures can be retrieved using the Atomic Simulation Environment (ASE, https://wiki.fysik.dtu.dk/ase/).</p>
Philorhizus marggii n. sp., habitus, holotype
<p>Fig. 1 in Wrase DW, Assmann T (2008) A new species of Philorhizus Hope, 1838 from Greece (Coleoptera, Carabidae, Lebiini). doi: 10.3897/zookeys.3.19</p>
Text Generation using N-gram and GPT (metrics: ROUGE, BLEU and BERTScore)
<p>This publication presents a set of spreadsheets listing the user stories generated using N-gram and GPT models with metrics ROUGE, BLEU and BERTScore calculated. Each spreadsheet refers to one corpus of user stories processed.</p>
N-SI-121 spectra
<p>HDF5 file containing experiment N-SI-121 spectra (gamma, gamma-gamma, etc.), used for data analysis for publication. Experiment used O-18 beam on a thick Au-197 target, and was primarly focused on fission of the compound nucleus (Fr-215).</p> <p>HDF5 file has a flat structure of collection of 2D spectra:</p> <ul> <li>Eloc - Energy vs. location (detector number)</li> <li>bgo_time - BGO anti-compton energy vs. time realtive to the beam pulse</li> <li>gM - gamma energy in Germanium detectors vs. multiplicity</li> <li>gM_delayed - as above but for delayed gamma emission </li> <li>ge_time - Ge detector energy vs. time relative to the beam pulse</li> <li>gg - all gamma-gamma coincidences (Ge detectors)</li> <li>gg_delayed - as above but only delayed coincidences</li> <li>gg_prompt - as above but only prompt coincidences</li> <li>la_time - LaBr3 detectors vs. time relative to the beam pulse</li> <li>tloc - time relative to the beam pulse vs. detector location</li> <li>totM_delayed - total energy (sum of all kind of detectors), delayed radiation only</li> <li>totM_prompt- total energy (sum of all kind of detectors), prompt radiation only</li> </ul> <p>Each event is 400 ns long, beam pulse is set to position 40 ns. Delayed radiation is in range 80-350 ns relative to beam pulse, prompt is 35-65 ns.</p>
BK Channels activation by N-type Ca2+ channels in the dendrites of neocortical pyramidal neurons
<p>This dataset contains imaging and whole-cell electrophysiological recordings from neocortical layer-5 pyramidal neuron dendrites in brain slices of the mouse.</p><p>Somatic electrophysiological and dendritic imaging recordings were done at 20 kHz. Imaging recordings were done with ~2.5 µm nm pixel resolution. These correspond to:</p><ul><li>Voltage imaging (Figures 1 and 7)</li><li>Calcium imaging (Figures 2,3 and 4).</li></ul><p>This dataset is used in the paper:</p><p>Blömer LA, Giacalone E, Abbas F, Filipis L, Migliore M, Canepari M. Kinetics and functional consequences of BK Channels activation by N-type Ca2+ channels in the dendrite of mouse neocortical layer-5 pyramidal neurons. bioRxiv, 2023 (https://www.biorxiv.org/content/10.1101/2023.10.26.564136v1).</p>
Sets of period sets for words of length n.
<p>We consider finite words of length n. Each word has a set of periods, but many words can have the same set of periods. For a definition of a period of a word, see [1]. A set of periods is a subset of the set {0, 1, ..., n-1}, but not all subsets of {0, 1, ..., n-1} are period sets. The set denoted Gamma(n) contains all possible period sets corresponding to at least one word of length n. For a definition of Gamma(n), see references [1] or [2]. For more details see reference [4].</p> <p>The series of text files provide the list of period set, one per line, for Gamma(n), for n = 1, 2, ..., 100.<br>Each line contains a list of integers sorted by increasing value: this list constitutes one period set. The separator symbol is a space. Hence, the number of non-empty lines in a file gives the cardinality of Gamma(n).<br>The period set are sorted by their basic period. For a definition of the notion of basic period, see [1] or [2].</p> <p>The files for n=61, ..., 100, where computed with the incremental algorithm described in [5].</p> <p>The sequence of the cardinalities of the set Gamma(n), is also called, the Number of distinct autocorrelations of binary words of length n, and corresponds to the sequence A005434 in the Encyclopedia of Integer Sequences (EOIS) link [3].</p> <p>The files have generic name formatted as follows: gamma.n.bps<br>where n is the word length, for n = 1, 2, ..., 100.</p> <p><strong>References</strong>:</p> <p>1. Eric Rivals, Sven Rahmann.<br> Combinatorics of Periods in Strings.<br> Proc. 28th International Colloquium on Automata, Languages, and Programming, Lecture Notes in Computer Science vol. 2076, p. 615-26., P. Orejas, P. G. Spirakis, J. van Leuween editors, Springer Verlag, Berlin, 2001.<br> doi: <a title="Publication 1" href="https://doi.org/10.1007/3-540-48224-5_51" target="_blank" rel="noopener">https://doi.org/10.1007/3-540-48224-5_51</a><br>2. Eric Rivals, Sven Rahmann.<br> Combinatorics of Periods in Strings.<br> Journal of Combinatorial Theory - Series A, 104(1), p. 95-113, October 2003<br> doi: <a title="Publication 2" href="https://doi.org/10.1016/s0097-3165(03)00123-7" target="_blank" rel="noopener">https://doi.org/10.1016/s0097-3165(03)00123-7</a><br>3. Entry A005434 from The On-Line Encyclopedia of Integer Sequences.<br> URL: <a title="Sequence entry A005434" href="https://oeis.org/A005434" target="_blank" rel="noopener">https://oeis.org/A005434</a><br>4. Autocorrelation of Strings. A comment on entries A005434 and A045690 of the Encyclopedia of Integer Sequences.<br> URL: <a title="Introduction to period sets (webpage)" href="https://www.lirmm.fr/~rivals/RESEARCH/PERIOD/" target="_blank" rel="noopener">https://www.lirmm.fr/~rivals/RESEARCH/PERIOD/</a><br> 5. Eric Rivals. Incremental computation of the set of period sets. arXiv:2410.12077, 2024. <a title="Publication 5" href="https://doi.org/10.48550/arXiv.2410.12077" target="_blank" rel="noopener">https://doi.org/10.48550/arXiv.2410.12077</a><br><br></p>
Evaluation datasets and results of the paper "Efficient Online Computation of Business Process State From Trace Prefixes via N-Gram Indexing"
<p>Event logs, process models, and results corresponding to the paper "Efficient Online Computation of Business Process State From Trace Prefixes via N-Gram Indexing".</p> <p><em><strong>Inputs</strong></em>: preprocessed event logs and discovered process models (and their characteristics) used in the evaluation.</p> <ul> <li><em><strong>Real-life</strong></em>: preprocessed event logs (<em>xes</em> and <em>csv</em>) corresponding to the real-life processes used in the evaluation. Process models (<em>pnml</em>) discovered with the Inductive Miner infrequent for thresholds of 10%, 20%, and 50%. Characteristics (<em>txt</em>) of the event logs and process models. Ongoing cases result from splitting each case in the preprocessed event logs (under folder <em>split</em>).</li> <li><em><strong>Synthetic</strong></em>: simulated event logs (<em>csv</em>) corresponding to the synthetic processes used in the evaluation. Designed process models (<em>bpmn</em> and <em>pnml</em>). Ongoing cases result from splitting each case in the preprocessed event logs (under folder <em>split</em>). Ongoing cases with injected noise as described in the publication (under folders <em>noise_1</em>, <em>noise_2</em>, and <em>noise_3</em>).</li> </ul>
ascii xyz files for all pure fullerene isomers from C20 to C80, and stable structures for C28Hn and C40Hn, n=1..5, geometrically optimised with xTB.
<p>ascii xyz files for all pure fullerene isomers from C20 to C80, and stable structures for C28Hn and C40Hn, n=1..5, geometrically optimised with xTB.</p> <p>Data refers to structures generated with the paper published in MDPI Crystals 2021 article "Methodological Investigation for Hydrogen Addition to Small Cage Carbon Fullerenes". Please cite this article if you use this data, many thanks. The article pre-print can be found here: https://www.preprints.org/manuscript/202109.0361/v1 but please cite the final published article.</p>
Example code and data for ubms: An R package for fitting hierarchical occupancy and N-mixture abundance models in a Bayesian framework
<p>This repository contains an R script (grouse_example.R) and data (grouse_data.csv) used to reproduce the grouse abundance analysis described in Kellner, K. F., et al. (2021) ubms: An R package for fitting hierarchical occupancy and N-mixture abundance models in a Bayesian framework. Methods in Ecology and Evolution. The R script requires installation of the ubms R package, which can be obtained from CRAN (https://cran.r-project.org/package=ubms).</p> <p>The repository also contains an additional example occupancy analysis (occupancy_example.R) using the crossbill dataset included with the unmarked R package.</p>
Topological surface states in epitaxial (SnBi2Te4 )n (Bi2Te3)m natural van der Waals superlattices (data)
<p>This dataset contains the raw data files connected to the figures included in the paper "T<em>opological surface states in epitaxial (SnBi<sub>2</sub>Te<sub>4</sub> )<sub>n</sub> (Bi<sub>2</sub>Te<sub>3</sub>)<sub>m</sub> natural van der Waals superlattices</em>" by S. Fragkos et al., Phys. Rev. Materials <strong>5</strong>, 014203 (2021) <a href="https://doi.org/10.1103/PhysRevMaterials.5.014203">https://doi.org/10.1103/PhysRevMaterials.5.014203</a></p> <p>An Open Access version of the paper can be found here: <a href="https://zenodo.org/record/4562057#.YaDC4NBBxPY">https://zenodo.org/record/4563899#.YaDQ5NBBxPY</a></p>
Correlation Between Insulation Resistance and Temperature Measurement Error in Type K and Type N Mineral Insulated, Metal Sheathed Thermocouples
<p>Mineral insulated, metal sheathed (MI) Type K and Type N thermocouples are<br> widely used in industry for process monitoring and control. One factor that limits<br> their accuracy is the dramatic decrease in the insulation resistance at temperatures<br> above about 600 °C which results in temperature measurement errors due to electrical<br> shunting. In this work the insulation resistance of a cohort of representative MI<br> thermocouples was characterised at temperatures up to 1160 °C, with simultaneous<br> measurements of the error in indicated temperature by in situ comparison with a reference<br> Type R thermocouple. Intriguingly, there appears to be a systematic relationship<br> between the insulation resistance and the error in the indicated temperature. At<br> a given temperature, as the insulation resistance decreases, there is a corresponding<br> increasingly negative error in the temperature measurement. Although the measurements<br> have a relatively large uncertainty (up to about 1 °C in temperature error and<br> up to about 10 % in insulation resistance measurement), the trend is apparent at all<br> temperatures above 600 °C, which suggests that it is real. Furthermore, the correlation<br> disappears at temperatures below about 600 °C, which is consistent with the<br> well-established diminution of insulation resistance breakdown effects below that<br> temperature. This raises the intriguing possibility of using the as-new MI thermocouple<br> calibration as an indicator of insulation resistance breakdown: large deviations<br> of the electromotive force (emf) in the negative direction could indicate a correspondingly<br> low insulation resistance.</p>
ICI-4 E-N Collisional Current Simulations
<p>This dataset contains probe current data of PIC simulations decribed in the<br> paper "Electron-Neutral collisions, effects on Langmuir Probes in the Lower<br> E-Region Ionosphere". The simulations are done for plasma parameters<br> representative of the lower E-region ionosphere, with probe biases in the<br> electron saturation regime.</p> <p>Each simulation has its own folder denoting the power of the electron-neutral<br> collision frequency, and probe bias. For example the subfolder 2-4.5V has a<br> history.xy.h5 file (in HDF5 format) containing data for a simulation using a<br> electron-neutral collision frequency proportional to 10^2, and a probe bias of<br> 4.5V. "nocoll" in a folder name means it's a simulation with no collisions.</p> <p>Plasma parameters used for simulations:</p> <p>Density (e,i) (m−3) 9.597e10<br> Te(K) 441<br> Ti(K) 475<br> me(kg) 9.109e-31<br> mi(kg) 6.646e-27</p> <p>The hierarchical structure of the history.xy.h5 files:</p> <p> -current<br> -electrons<br> -dataset<br> -ions<br> -dataset<br> -energy<br> -kinetic<br> -specie 0<br> -specie 1<br> -total<br> -potential<br> -specie 0<br> -specie 1<br> -total<br> -potential<br> -dataset</p> <p>The top-level group "current" is the current to the probe given for electrons<br> and ions. Values are in Ampere.</p> <p>"energy" is the total kinetic and potential energies within the whole simulated<br> domain for electrons (specie 0), ions (specie 1), and both species combined<br> (total). The potential energy is not calculated per species for these<br> simulations, and is therefore set to zero. Values are given in Joule.</p> <p>The top-level group "potential" is the electric potential (bias) of the probe<br> and is given in Volts.</p> <p>Each datapoint is given each 5*10^(-10) s, giving it a sampling frequency of 2*10^(9) Hz.</p>
LoGov Switzerland Interview Report n°3
<p>The interviews have been realised in the framework of the H2020-MSCA-RISE-2018 project “LoGov - Local Government and the Changing Urban-Rural Interplay” as part of the implementation phase of the project. The interviews have been conducted with experts in the field of public administration, public law and political science, both researchers and practitioners, with the aim of widening the scope of the Country Report on Switzerland. To access the full transcription of this interview, the other interview reports on Switzerland, and to receive more information about the project, please visit: https://www.logov-rise.eu/. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 823961.</p>
LoGov Switzerland Interview Report n°4
<p>The interviews have been realised in the framework of the H2020-MSCA-RISE-2018 project “LoGov - Local Government and the Changing Urban-Rural Interplay” as part of the implementation phase of the project. The interviews have been conducted with experts in the field of public administration, public law and political science, both researchers and practitioners, with the aim of widening the scope of the Country Report on Switzerland. To access the full transcription of this interview, the other interview reports on Switzerland, and to receive more information about the project, please visit: https://www.logov-rise.eu/. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 823961.</p>
LoGov Switzerland Interview Report n°2
<p>The interviews have been realised in the framework of the H2020-MSCA-RISE-2018 project “LoGov - Local Government and the Changing Urban-Rural Interplay” as part of the implementation phase of the project. The interviews have been conducted with experts in the field of public administration, public law and political science, both researchers and practitioners, with the aim of widening the scope of the Country Report on Switzerland. To access the full transcription of this interview, the other interview reports on Switzerland, and to receive more information about the project, please visit: https://www.logov-rise.eu/. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 823961.</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.