cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5283/epub.31612
title: trajectory experiment metadata

description: Experiment got their metadata: who, when, what was tested. This is a rough try to get information about the experiment itself, other elements should probably be included like a link to a proper material and method description. This would probably need to go to a RDF format: for one experiment can multiple authors and multiple changing variables be present (for instance genotype x treatment)...
DOI: 10.5283/epub.31613
title: trajectory metadata

description: Data to be found in the data fileset, metadata for each experiment will also be produced and posted, see links. This is intended to become a repository for all data analysed with CeTrAn, an open source centroid trajetory analysis tool written in R (third link). The data will be uploaded while analysed (automatically), making it open by default. I am looking for people interested in developing the tool and the database structure. I am no specialist, not in R, not in database structures, but I so far managed to find help in the R community. Come and comment, your feedback is needed !!
DOI: 10.5283/epub.31614
title: raw trajectory data

description: Still in a testing phase: need to deal with duplicates. Format is time (in ms), x position (in mm), y position (in mm), burst (increase while the experiment is stopped and started again with the same animal). Information about the experiment is found in the metadata.
DOI: 10.5283/epub.31617
title: Buridan experiment_test1

description: the metadata of buridan experiments
DOI: 10.5283/epub.31616
title: buridan_test1_rawdata

description: the raw data of the buridan experiment
DOI: 10.5283/epub.31615
title: Only hungry flies learn odor-sugar association

description: Drosophila melanogaster flies were shown to learn to associate odor with sugar presentation. The performance during the test was shown to be dependent on the statiation state of the animal (krashes et al. 2009). The dependency of satiation during training has been postulated from different experiments. However, the difference in motivation during the test could have explained these results. I performed an experiment to tackle this question directly, using the conditioning paradigm published earlier (Colomb et al. 2009). Flies were starved (or not) before training. After training, they were put on food to cancel the difference in satiation state between the two groups, before beeing starved again before the test. Flies sated during training show no memory at all, while control flies show normal memory retention scores two days after training. Colomb J, Kaiser L, Chabaud M-A, Preat T (2009) Parametric and genetic analysis of Drosophila appetitive long-term memory and sugar motivation. Genes, brain, and behavior 8: 407–15. doi:10.1111/j.1601-183X.2009.00482.x Krashes MJ, DasGupta S, Vreede A, White B, Armstrong JD, et al. (2009) A neural circuit mechanism integrating motivational state with memory expression in Drosophila. Cell 139: 416–27. doi:10.1016/j.cell.2009.08.035
DOI: 10.5283/epub.31577
title: Drosophila FoxP molecular, anatomical and behavioral raw data

description: The anatomical and behavioral data providing evidence for the necessity of Drosophila FoxP for operant self-learning
DOI: 10.5283/epub.31574
title: Buridan

description: This table is meant to present each parameter which is calculated from the Buridan's experiment in CeTrAn.
DOI: 10.5283/epub.31570
title: rawfiles for 12_foxpmutant

description: This data is raw data from flight experiment, see the metadata figshare article for a description. data start at line 21, data is in 4 rows: time, torque, is_laser_on, sequence_ number (meaning depends on the protocol, usually 2 min. periods).
DOI: 10.5283/epub.31569
title: rawfiles for 13_PKC53emutant

description: This data is raw data from flight experiment, see the metadata figshare article for a description. data start at line 21, data is in 4 rows: time, torque, is_laser_on, sequence_ number (meaning depends on the protocol, usually 2 min. periods).
DOI: 10.5283/epub.31571
title: rawfiles for 11_PKCdelta_putativemutant

description: This data is raw data from flight experiment, see the metadata figshare article for a description. data start at line 21, data is in 4 rows: time, torque, is_laser_on, sequence_ number (meaning depends on the protocol, usually 2 min. periods).
DOI: 10.5283/epub.31578
title: Data of torque meter experiments

description: Pre-analyzed data and metadata of self-learning experiments.
DOI: 10.5283/epub.31566
title: rawfiles for 16_PKCi_d42G4_chaG80_c380

description: This data is raw data from flight experiment, see the metadata figshare article for a description. data start at line 21, data is in 4 rows: time, torque, is_laser_on, sequence_ number (meaning depends on the protocol, usually 2 min. periods).
DOI: 10.5283/epub.31568
title: rawfiles for 14_PKCi_screen

description: This data is raw data from flight experiment, see the metadata figshare article for a description. data start at line 21, data is in 4 rows: time, torque, is_laser_on, sequence_ number (meaning depends on the protocol, usually 2 min. periods).
DOI: 10.5283/epub.31572
title: rawfiles for 10_PKCinac_putativemutant

description: This data is raw data from flight experiment, see the metadata figshare article for a description. data start at line 21, data is in 4 rows: time, torque, is_laser_on, sequence_ number (meaning depends on the protocol, usually 2 min. periods).
DOI: 10.5283/epub.31567
title: rawfiles for 15_PKCi_d42G4_chaG80

description: This data is raw data from flight experiment, see the metadata figshare article for a description. data start at line 21, data is in 4 rows: time, torque, is_laser_on, sequence_ number (meaning depends on the protocol, usually 2 min. periods).
DOI: 10.5283/epub.31573
title: rawfiles for 1_HS_test

description: This data is raw data from flight experiment, see the metadata figshare article for a description. data start at line 21, data is in 4 rows: time, torque, is_laser_on, sequence_ number (meaning depends on the protocol, usually 2 min. periods).
DOI: 10.5283/epub.31565
title: rawfiles for 17_PKCi_d42G4w_woUASGFP

description: This data is raw data from flight experiment, see the metadata figshare article for a description. data start at line 21, data is in 4 rows: time, torque, is_laser_on, sequence_ number (meaning depends on the protocol, usually 2 min. periods).
DOI: 10.5283/epub.31555
title: rawfiles for 7_HS_test

description: This data is raw data from flight experiment, see the metadata figshare article for a description. data start at line 21, data is in 4 rows: time, torque, is_laser_on, sequence_ number (meaning depends on the protocol, usually 2 min. periods).
DOI: 10.5283/epub.31539
title: List of sequences used for the phylogenetic analysis of FoxP subfamily members

description: * Bombyx mori data base.
DOI: 10.5283/epub.31554
title: rawfiles for 8_HS_test

description: This data is raw data from flight experiment, see the metadata figshare article for a description. data start at line 21, data is in 4 rows: time, torque, is_laser_on, sequence_ number (meaning depends on the protocol, usually 2 min. periods).
DOI: 10.5283/epub.31551
title: rawfiles for 9_PKC53_putativemutant_mi

description: This data is raw data from flight experiment, see the metadata figshare article for a description. data start at line 21, data is in 4 rows: time, torque, is_laser_on, sequence_ number (meaning depends on the protocol, usually 2 min. periods).
DOI: 10.5283/epub.31564
title: rawfiles for 18_PKCi_d42G4HAg80_c380_UASGFP

description: This data is raw data from flight experiment, see the metadata figshare article for a description. data start at line 21, data is in 4 rows: time, torque, is_laser_on, sequence_ number (meaning depends on the protocol, usually 2 min. periods).
DOI: 10.5283/epub.31557
title: rawfiles for 5_HS_test

description: This data is raw data from flight experiment, see the metadata figshare article for a description. data start at line 21, data is in 4 rows: time, torque, is_laser_on, sequence_ number (meaning depends on the protocol, usually 2 min. periods).
DOI: 10.5283/epub.31560
title: rawfiles for 21_TrpA

description: This data is raw data from flight experiment, see the metadata figshare article for a description. data start at line 21, data is in 4 rows: time, torque, is_laser_on, sequence_ number (meaning depends on the protocol, usually 2 min. periods).
DOI: 10.5283/epub.31559
title: rawfiles for 3_FoxPdicerRNAi

description: This data is raw data from flight experiment, see the metadata figshare article for a description. data start at line 21, data is in 4 rows: time, torque, is_laser_on, sequence_ number (meaning depends on the protocol, usually 2 min. periods).
DOI: 10.5283/epub.31556
title: rawfiles for 6_HS_test

description: This data is raw data from flight experiment, see the metadata figshare article for a description. data start at line 21, data is in 4 rows: time, torque, is_laser_on, sequence_ number (meaning depends on the protocol, usually 2 min. periods).
DOI: 10.5283/epub.31550
title: Order in spontaneous behavior

description: This folder contains all raw data (including additional flies) and all MatLab scripts used to evaluate the data in the paper: Order in Spontaneous Behavior by Alexander Maye, Chih-hao Hsieh, George Sugihara, Björn Brembs Published: May 16, 2007, DOI: 10.1371/journal.pone.0000443
DOI: 10.5283/epub.31561
title: rawfiles for 20_PKCRNAI

description: This data is raw data from flight experiment, see the metadata figshare article for a description. data start at line 21, data is in 4 rows: time, torque, is_laser_on, sequence_ number (meaning depends on the protocol, usually 2 min. periods).
DOI: 10.5283/epub.31558
title: rawfiles for 4_PKC53_RNAi

description: This data is raw data from flight experiment, see the metadata figshare article for a description. data start at line 21, data is in 4 rows: time, torque, is_laser_on, sequence_ number (meaning depends on the protocol, usually 2 min. periods).
DOI: 10.5283/epub.31549
title: Buridan raw data: Sub-strains of Drosophila Canton-S differ markedly in their locomotor behavior

description: Raw data for the F1000 Research paper "Sub-strains of Drosophila Canton-S differ markedly in their locomotor behavior"
DOI: 10.5283/epub.31552
title: Learning data in flight simulator -result

description: This file contains the computed data of learning experiments done in the torque meter. It mainly correspond to self-learning experiments performed by Dr. Julien Colomb during his post doc. You can access the raw data for each experiment: the figshareid leads you to figshare fileset article, and rawfile_name corresponds to the name of the file uploaded in that article. Note that pretest values may be different in the computed data file than in the raw file, because the 0 torque was sometimes changed at the end of the pretest and a new score was then manually computed.
DOI: 10.5283/epub.31562
title: rawfiles for 2_PKC53emutant_outcrossed

description: This data is raw data from flight experiment, see the metadata figshare article for a description. data start at line 21, data is in 4 rows: time, torque, is_laser_on, sequence_ number (meaning depends on the protocol, usually 2 min. periods).
DOI: 10.5283/epub.31563
title: rawfiles for 19_TNT_c232_c105_fliesgenotypenotcertain

description: This data is raw data from flight experiment, see the metadata figshare article for a description. data start at line 21, data is in 4 rows: time, torque, is_laser_on, sequence_ number (meaning depends on the protocol, usually 2 min. periods).
DOI: 10.5283/epub.31504
title: Wuchernde Verwaltung

description: Employment data from DESTATIS about German university employment in 2005 and 2012
DOI: 10.5281/zenodo.5528758
title: Training data for MLP - HYDROsim project

description: Initial release of full data set for training the Multi Layer Perceptron
DOI: 10.5281/zenodo.5528757
title: Training data for MLP - HYDROsim project

description: Initial release of full data set for training the Multi Layer Perceptron
DOI: 10.6084/m9.figshare.14792178.v2
title: Core-genome phylogeny of 40 Agrobacterium spp.

description: A phylogenomic database was built with the Pantagruel pipeline, using the ‘usingGeneRax’ branch of the code (https://github.com/flass/pantagruel/tree/usingGeneRax). The following pipeline tasks were performed: init, 00-03 and 05, leading to the clustering of homologous gene families with MMSeqs2,the alignment of their nucleotide sequences with ClustalOmega, and the computation of a maximum-likelihood (ML) phylogenetic tree with RAxML 8.1.2 based on the concatenation of 1,089 core-genome gene alignments
DOI: 10.6084/m9.figshare.14792178
title: Core-genome phylogeny of 40 Agrobacterium spp.

description: A phylogenomic database was built with the Pantagruel pipeline, using the ‘usingGeneRax’ branch of the code (https://github.com/flass/pantagruel/tree/usingGeneRax). The following pipeline tasks were performed: init, 00-03 and 05, leading to the clustering of homologous gene families with MMSeqs2,the alignment of their nucleotide sequences with ClustalOmega, and the computation of a maximum-likelihood (ML) phylogenetic tree with RAxML 8.1.2 based on the concatenation of 1,089 core-genome gene alignments
DOI: 10.15161/oar.it/74143
title: CovidStat project data

description: This record contains the daily updated data of the CovidStat project. CovidStat is a project carried out by the CovidStat Working Group at INFN, whose creation was promoted within the Italian National Institute of Nuclear Physics with the aim of making a statistical analysis of the data provided daily by the Civil Protection on the spread of the pandemic in Italy. CovidStat data can interactively be browsed at https://covid19.infn.it.
description: The software to process this Root TTree is in the related identifier. Be sure to use the right corresponding version, based on the data in which Root TTree was generated.
DOI: 10.6084/m9.figshare.16698082
title: Results obtained in the article "Modulation of the goodness of fit in hydrological modeling based on Inner Balance Errors" published in the journal PLOS ONE

description: Results obtained in the paper "Modulation of the goodness of fit in hydrological modeling based on Inner Balance Errors" published in the journal PLOS ONE.<br><br>Files included: <br><b>results.csv</b>: Disaggregated results. The table includes the following columns: <br>- Date<br>- Code: Estation code- P: Mensual precipitation (mm/month)- ETP: Potential evapotranspiration (mm/month)- ETs: Real evapotranspiration for first simulation (mm/month)- Qs: Simulated flow for first simulation (mm/month) (Table 2 in paper)<br> - ETs*: Real evapotranspiration (alpha=1) (mm/month)<br>- Qs*: Simulated flow (alpha=1) (mm/month) (Table 3 in paper)<br><br>
DOI: 10.6084/m9.figshare.16698082.v1
title: Results obtained in the article "Modulation of the goodness of fit in hydrological modeling based on Inner Balance Errors" published in the journal PLOS ONE

description: Results obtained in the paper "Modulation of the goodness of fit in hydrological modeling based on Inner Balance Errors" published in the journal PLOS ONE.<br><br>Files included: <br><b>results.csv</b>: Disaggregated results. The table includes the following columns: <br>- Date<br>- Code: Estation code- P: Mensual precipitation (mm/month)- ETP: Potential evapotranspiration (mm/month)- ETs: Real evapotranspiration for first simulation (mm/month)- Qs: Simulated flow for first simulation (mm/month) (Table 2 in paper)<br> - ETs*: Real evapotranspiration (alpha=1) (mm/month)<br>- Qs*: Simulated flow (alpha=1) (mm/month) (Table 3 in paper)<br><br>
DOI: 10.24340/hsk2-hmneuu
title: Multiomics data for: "Multiomics and digital monitoring during lifestyle changes reveal independent dimensions of human biology and health"
DOI: 10.5281/zenodo.5535682
title: ACIA500: a 500 m annual cropping intensity dataset for monsoon Asia based on MODIS data

description: This dataset provides 500m-grid crop intensity map of monsoon Asia (some countries) from 2001 to 2020. *** The data file is in “.tif" format *** Temporal Resolution: Yearly *** Pixel size: 500 m *** Projection information: EPSG: 4326 The map boundary employed in this database does not imply the expression of any opinion whatsoever on the part of us concerning the legal status of any country, territory, city or area or its authorities, or concerning the delimitation of its frontiers or boundaries.
DOI: 10.6084/m9.figshare.16698313
title: Homeostatic scaling is driven by a translation-dependent degradation axis that recruits miRISC remodeling

description: Homeostatic scaling in neurons has been attributed to the individual contribution of either translation or degradation; however there remains limited insight towards understanding how the interplay between the two processes effectuates synaptic homeostasis. Here, we report that a co-dependence between protein synthesis and degradation mechanisms drives synaptic homeostasis whereas abrogation of either prevents it. Coordination between the two processes is achieved through the formation of a tripartite complex between translation regulators, the 26S proteasome and the miRNA-induced-silencing-complex (miRISC) components such as Argonaute, MOV10 and Trim32 on actively translating transcripts or polysomes. The components of this ternary complex directly interact with each other in an RNA-dependent manner. Disruption of polysomes abolishes this ternary interaction, suggesting that translating RNAs facilitate the combinatorial action of the proteasome and the translational apparatus. We identify that synaptic downscaling involves miRISC remodeling which entails the mTORC1-dependent translation of Trim32, an E3 ligase and the subsequent degradation of its target, MOV10 <i>via</i> the phosphorylation of p70 S6 kinase. We find that the E3 ligase Trim32 specifically polyubiquitinates MOV10 for its degradation during synaptic downscaling. MOV10 degradation alone is sufficient to invoke downscaling by enhancing Arc translation through its 3’ UTR and causing the subsequent removal of post-synaptic AMPA receptors. Synaptic scaling was occluded when we depleted Trim32 and overexpressed MOV10 in neurons, suggesting that the Trim32-MOV10 axis is necessary for synaptic downscaling. We propose a mechanism that exploits a translation-driven protein degradation paradigm to invoke miRISC remodeling and induce homeostatic scaling during chronic network activity.
DOI: 10.6084/m9.figshare.16698313.v1
title: Homeostatic scaling is driven by a translation-dependent degradation axis that recruits miRISC remodeling

description: Homeostatic scaling in neurons has been attributed to the individual contribution of either translation or degradation; however there remains limited insight towards understanding how the interplay between the two processes effectuates synaptic homeostasis. Here, we report that a co-dependence between protein synthesis and degradation mechanisms drives synaptic homeostasis whereas abrogation of either prevents it. Coordination between the two processes is achieved through the formation of a tripartite complex between translation regulators, the 26S proteasome and the miRNA-induced-silencing-complex (miRISC) components such as Argonaute, MOV10 and Trim32 on actively translating transcripts or polysomes. The components of this ternary complex directly interact with each other in an RNA-dependent manner. Disruption of polysomes abolishes this ternary interaction, suggesting that translating RNAs facilitate the combinatorial action of the proteasome and the translational apparatus. We identify that synaptic downscaling involves miRISC remodeling which entails the mTORC1-dependent translation of Trim32, an E3 ligase and the subsequent degradation of its target, MOV10 <i>via</i> the phosphorylation of p70 S6 kinase. We find that the E3 ligase Trim32 specifically polyubiquitinates MOV10 for its degradation during synaptic downscaling. MOV10 degradation alone is sufficient to invoke downscaling by enhancing Arc translation through its 3’ UTR and causing the subsequent removal of post-synaptic AMPA receptors. Synaptic scaling was occluded when we depleted Trim32 and overexpressed MOV10 in neurons, suggesting that the Trim32-MOV10 axis is necessary for synaptic downscaling. We propose a mechanism that exploits a translation-driven protein degradation paradigm to invoke miRISC remodeling and induce homeostatic scaling during chronic network activity.
DOI: 10.21227/qs50-px88
title: Computational Simulations using Time-Dependent Ginzburg–Landau Theory for Nb–Ti-like Microstructures—Critical current data

description: Simulations based on time-dependent Ginzburg–Landau theory are employed to determine the critical current for a model system which represents a Nb–Ti-like pinning landscape at low drawing strain. The system consists of ellipsoids of normal metal, with dimensions 60ξ × 3ξ × 3ξ, randomly distributed throughout the superconducting bulk with their long axes parallel to the applied current and perpendicular to the field. These preciptates represent the α-Ti elongated precipitates which act as strong pinning centres in Nb–Ti alloys. We present the critical current density as a function of field across the entire range of precipitate volume fractions and find that optimised material in our model system occurs at 32 vol.% ppt., whereas in real materials the optimum occurs at 25 vol.% ppt.
DOI: 10.5281/zenodo.3518922
title: FAIRsFAIR Data of Survey on Semantics and interoperability solutions

description: As part of the EOSC project family the FAIRsFAIR - Fostering Fair Data Practices in Europe - project aims to supply practical solutions for the use of the FAIR data principles throughout the research data life cycle. The work package "WP2 FAIR Practices: Semantics, Interoperability, and Services" will produce three reports on FAIR requirements for persistence and interoperability to identify domain-specific standards and practices in use. These will review and document commonalities and possible gaps regarding semantic interoperability, and the use of metadata and persistent identifiers across infrastructures. They will also look into differences in terms of standards, vocabularies and ontologies. The collected information will be updated during the course of the project in cooperation with other tasks and EOSC projects. This survey was done to complement and validate the information from desk research for the first of these reports. It was aimed at data managers and data support experts. We hoped to get information about tools and services we might have missed, but also some reflections on the thinking around identifiers and ontologies and other semantic artefacts. The information was also collected to support preparing workshops on semantics and interoperability that are forthcoming in the project, as well as the work on software and services. The survey covers questions about metadata, use of persistent identifiers, use of semantic artefacts and handling research software. The survey was conducted as a joint effort with WP3, FAIR Policy and Practice and its open consultation, and was disseminated on the fairsfair.eu web pages, social media channels and via email lists. We received 66 answers during the period the survey was open, that is between 15 July to 2 October 2019.