cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0920504.10fu
title: SH0920504.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0920505.10fu
title: SH0920505.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15468/dl.w2n67d
title: Occurrence Download

description: A dataset containing 439139 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Oriolus oriolus (Linnaeus, 1758)",
 "HasCoordinate is true",
 "Year is greater than or equal to 2011",
 "Year is less than or equal to 2024"
 ]
}

 The dataset includes 439139 records from 2583 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0098606-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.24297745
title: Resequencing of 408 Setaria italica material

description: Genotype of 408 Setaria italica material for GWAS and genetic analysis
DOI: 10.5281/zenodo.8434856
title: Energiekrise Reaktion - Suffizienz-Politikinstrumente 2022 in Deutschland

description: Daten für eine Analyse des implementierter Suffizienz-Politiken in Deutschland 2022. Ausgangsmaterial sind insbesondere diese Verordnungen: Verordnung zur Sicherung der Energieversorgung durch kurzfristig wirksame Maßnahmen (EnSikuMaV) Verordnung zur Sicherung der Energieversorgung über mittelfristig wirksame Maßnahmen (Mittelfristenergieversorgungssicherungsmaßnahmenverordnung - EnSimiMaV) Eine umfassende Suffizienz-Politikdatenbank mit Politik Ideen findet sich hier: https://zenodo.org/record/7572776 Gefördert vom Bundesministerium für Bildung und Forschung (BMBF) im Rahmen des Projekts "EnSu - Energieversorgung in Energiewende und Gesellschaft" (https://energysufficiency.de/) im Rahmen der Strategie "Forschung für Nachhaltigkeit" (FONA) (http://www.fona.de/en) im Förderschwerpunkt Sozial-ökologische Forschung, Förderkennzeichen [01UU2004B]. Die Verantwortung für den Inhalt dieser Veröffentlichung liegt bei den Autor:innen.
DOI: 10.5281/zenodo.8434855
title: Energiekrise Reaktion - Suffizienz-Politikinstrumente 2022 in Deutschland

description: Daten für eine Analyse des implementierter Suffizienz-Politiken in Deutschland 2022. Ausgangsmaterial sind insbesondere diese Verordnungen: Verordnung zur Sicherung der Energieversorgung durch kurzfristig wirksame Maßnahmen (EnSikuMaV) Verordnung zur Sicherung der Energieversorgung über mittelfristig wirksame Maßnahmen (Mittelfristenergieversorgungssicherungsmaßnahmenverordnung - EnSimiMaV) Eine umfassende Suffizienz-Politikdatenbank mit Politik Ideen findet sich hier: https://zenodo.org/record/7572776 Gefördert vom Bundesministerium für Bildung und Forschung (BMBF) im Rahmen des Projekts "EnSu - Energieversorgung in Energiewende und Gesellschaft" (https://energysufficiency.de/) im Rahmen der Strategie "Forschung für Nachhaltigkeit" (FONA) (http://www.fona.de/en) im Förderschwerpunkt Sozial-ökologische Forschung, Förderkennzeichen [01UU2004B]. Die Verantwortung für den Inhalt dieser Veröffentlichung liegt bei den Autor:innen.
DOI: 10.25835/8g21jk73
title: Computer-Aided Engineering Environment (CAEE) for the design generation of individualized shinguards

description: This dataset contains a script or a Computer-Aided Engineering Environment (CAEE) for Grasshopper (plugin for Rhino), which allows the design of individualized shin guards based on a 3D scan of the leg. This dataset contains the script of the CAEE and an example scan of a leg in .stl and .3dm. ![Alt text](https://i.ibb.co/myd6bsH/GH-Skript.png)
DOI: 10.6084/m9.figshare.24288919
title: Fine-tuned MOFTransformer model

description: Fine-tuned model (MOFTransformer) for ChatMOF
DOI: 10.6084/m9.figshare.24298081
title: Differentially represented taxa identified with DESeq2

description: Sets of differentially abundant taxa identified using DESeq2 in each experimental variant described in Golebiewski et al. "<b>Colonization of axenic beet by rhizosphere bacteria takes place in discreet phases regardless of bioinculation with next generation bioinoculant</b>". Files are in the tsv (tab separated values) format. Figures (SVG files) showing at most top 20 DRFs (differentially represented features) or ternary plots are also included. Experimental variants are contained in file names in the form of S/R/L.S1/S2.B/C/M.early/late, e.g. S.S1.B.late. S - soil samples, R - roots, L - leaves; S1 - soil 1, S2 - soil 2; B - genotype B (<i>B</i><i>eta vulgaris</i> ssp. <i>vulgaris</i> cv. 'Bravo'), C - genotype C (<i>B. vulgaris</i> ssp. <i>vulgaris</i> cv. 'Casino'), M - genotype M (<i>B. vulgaris</i> ssp. <i>maritima</i>); early - early status, late - late status. Name of the variable defining compared groups is included in filenames after an underscore, e.g. _Inoculation.
DOI: 10.6084/m9.figshare.24298081.v1
title: Differentially represented taxa identified with DESeq2

description: Sets of differentially abundant taxa identified using DESeq2 in each experimental variant described in Golebiewski et al. "<b>Colonization of axenic beet by rhizosphere bacteria takes place in discreet phases regardless of bioinculation with next generation bioinoculant</b>". Files are in the tsv (tab separated values) format. Figures (SVG files) showing at most top 20 DRFs (differentially represented features) or ternary plots are also included. Experimental variants are contained in file names in the form of S/R/L.S1/S2.B/C/M.early/late, e.g. S.S1.B.late. S - soil samples, R - roots, L - leaves; S1 - soil 1, S2 - soil 2; B - genotype B (<i>B</i><i>eta vulgaris</i> ssp. <i>vulgaris</i> cv. 'Bravo'), C - genotype C (<i>B. vulgaris</i> ssp. <i>vulgaris</i> cv. 'Casino'), M - genotype M (<i>B. vulgaris</i> ssp. <i>maritima</i>); early - early status, late - late status. Name of the variable defining compared groups is included in filenames after an underscore, e.g. _Inoculation.
DOI: 10.5519/qd.99k4k6v4
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (5706943 records)
DOI: 10.5281/zenodo.8434957
title: Genesis of column sprites: Formation mechanisms and optical structures

description: The dataset contains compilable files and input files for the paper "Genesis of column sprites: Formation mechanisms and optical structures".
DOI: 10.5281/zenodo.8434956
title: Genesis of column sprites: Formation mechanisms and optical structures

description: The dataset contains compilable files and input files for the paper "Genesis of column sprites: Formation mechanisms and optical structures".
DOI: 10.5282/ubm/data.412
title: Daten zu "Kommagebrauch im Deutschen"

description: Daten für die Publikation: Fürstenberg, Maurice (i. V.): Kommagebrauch im Deutschen. Eine empirische Untersuchung zur Kommasetzung beim Schreiben und Einsetzen. Berlin: DeGruyter (=RGL 332).
DOI: 10.5281/zenodo.8139384
title: Context expectation influences the gait pattern biomechanics

description: This dataset is related to 32 healthy, Italian native speaker young adults that walked over a self-paced treadmill (GRAIL, Motek) in different conditions. Particularly two experimental conditions were set: “Motor Interference” condition (MI), and “Motor Expectation” condition (ME). MI aimed to explore putative gait pattern modifications due to auditory stimulation (i.e., audio risky and audio safe) provided simultaneously to the gait pattern recording. ME condition provided the audios (i.e., audio risky and audio safe) before the starting of gait pattern recording, when participants were not requested to walk (participants were simply requested to listen attentively the audios). Before starting each condition (MI or ME), a 1-min walking period of baseline (B) was recorded. Gait data were acquired with a Vicon system and gait parameters were extracted in Matlab. The dataset includes two sheets related to baseline (ME_B, MI_B), two sheets related to safe auditory stimulation (ME_S, MI_S) and two related to risky stimulation (ME_R, MI_R). The details about auditory stimulations, data collection and analysis are reported in the following manuscript, that we kindly ask you to cite if you use this dataset: Ciceri T, Malerba G, Gatti A, Diella E, Peruzzo D, Biffi E, Casartelli L. Context expectation influences the gait pattern biomechanics. Sci Rep. 2023 Apr 6;13(1):5644. doi: 10.1038/s41598-023-32665-7
description: This work was supported by the "5per1000" funds for biomedical research (Scientific Institute IRCCS Medea), and by the Italian Ministry of Health (Ricerca Corrente, Scientific Institute IRCCS Medea).
description: {"references": ["Ciceri T, Malerba G, Gatti A, Diella E, Peruzzo D, Biffi E, Casartelli L. Context expectation influences the gait pattern biomechanics. Sci Rep. 2023 Apr 6;13(1):5644. doi: 10.1038/s41598-023-32665-7"]}
DOI: 10.5281/zenodo.8139385
title: Context expectation influences the gait pattern biomechanics

description: This dataset is related to 32 healthy, Italian native speaker young adults that walked over a self-paced treadmill (GRAIL, Motek) in different conditions. Particularly two experimental conditions were set: “Motor Interference” condition (MI), and “Motor Expectation” condition (ME). MI aimed to explore putative gait pattern modifications due to auditory stimulation (i.e., audio risky and audio safe) provided simultaneously to the gait pattern recording. ME condition provided the audios (i.e., audio risky and audio safe) before the starting of gait pattern recording, when participants were not requested to walk (participants were simply requested to listen attentively the audios). Before starting each condition (MI or ME), a 1-min walking period of baseline (B) was recorded. Gait data were acquired with a Vicon system and gait parameters were extracted in Matlab. The dataset includes two sheets related to baseline (ME_B, MI_B), two sheets related to safe auditory stimulation (ME_S, MI_S) and two related to risky stimulation (ME_R, MI_R). The details about auditory stimulations, data collection and analysis are reported in the following manuscript, that we kindly ask you to cite if you use this dataset: Ciceri T, Malerba G, Gatti A, Diella E, Peruzzo D, Biffi E, Casartelli L. Context expectation influences the gait pattern biomechanics. Sci Rep. 2023 Apr 6;13(1):5644. doi: 10.1038/s41598-023-32665-7
description: This work was supported by the "5per1000" funds for biomedical research (Scientific Institute IRCCS Medea), and by the Italian Ministry of Health (Ricerca Corrente, Scientific Institute IRCCS Medea).
description: {"references": ["Ciceri T, Malerba G, Gatti A, Diella E, Peruzzo D, Biffi E, Casartelli L. Context expectation influences the gait pattern biomechanics. Sci Rep. 2023 Apr 6;13(1):5644. doi: 10.1038/s41598-023-32665-7"]}
DOI: 10.5281/zenodo.8386902
title: MindBot EU project - Dataset

description: Final protocol and dataset associated to the European Project MindBot funded from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 847926
DOI: 10.6084/m9.figshare.24298183
title: Attitudes towards Saudi English.csv

description: Saudi English as foreign language (EFL) learners’ attitudes towards an outer-circle English variety (Saudi English; henceforth, SE).
DOI: 10.6084/m9.figshare.24298135
title: Differentially represented taxa identified with ALDEx2

description: Sets of differentially abundant ASVs identified using ALDEx2 in each experimental variant described in Golebiewski et al. "<b>Colonization of axenic beet by rhizosphere bacteria takes place in discreet phases regardless of bioinculation with next generation bioinoculant</b>". Files are in the tsv (tab separated values) format. Experimental variants are contained in file names in the form of S/R/L.S1/S2.B/C/M.early/late, e.g. S.S1.B.late. S - soil samples, R - roots, L - leaves; S1 - soil 1, S2 - soil 2; B - genotype B (<i>B</i><i>eta vulgaris</i> ssp. <i>vulgaris</i> cv. 'Bravo'), C - genotype C (<i>B. vulgaris</i> ssp. <i>vulgaris</i> cv. 'Casino'), M - genotype M (<i>B. vulgaris</i> ssp. <i>maritima</i>); early - early status, late - late status. Name of the variable defining compared groups is included in filenames after an underscore, e.g. _Inoculation.
DOI: 10.6084/m9.figshare.24298135.v1
title: Differentially represented taxa identified with ALDEx2

description: Sets of differentially abundant ASVs identified using ALDEx2 in each experimental variant described in Golebiewski et al. "<b>Colonization of axenic beet by rhizosphere bacteria takes place in discreet phases regardless of bioinculation with next generation bioinoculant</b>". Files are in the tsv (tab separated values) format. Experimental variants are contained in file names in the form of S/R/L.S1/S2.B/C/M.early/late, e.g. S.S1.B.late. S - soil samples, R - roots, L - leaves; S1 - soil 1, S2 - soil 2; B - genotype B (<i>B</i><i>eta vulgaris</i> ssp. <i>vulgaris</i> cv. 'Bravo'), C - genotype C (<i>B. vulgaris</i> ssp. <i>vulgaris</i> cv. 'Casino'), M - genotype M (<i>B. vulgaris</i> ssp. <i>maritima</i>); early - early status, late - late status. Name of the variable defining compared groups is included in filenames after an underscore, e.g. _Inoculation.
DOI: 10.5281/zenodo.8306015
title: zEPHYR - Complex Terrain Benchmark

description: This repository contains some of the scripts and datasets used for the zEPHYR Complex terrain benchmark<br>
DOI: 10.5281/zenodo.8306014
title: zEPHYR - Complex Terrain Benchmark

description: This repository contains some of the scripts and datasets used for the zEPHYR Complex terrain benchmark<br>
DOI: 10.17034/28535cb5-c85c-42fb-9cca-48e511a12519
title: Dataset for "K-edge structure in shock compressed chlorinated-parylene"

description: Some supplementary data for paper in MDPI journal "Atoms".
DOI: 10.6084/m9.figshare.24298228
title: food content analysis

description: content analysis
DOI: 10.6084/m9.figshare.24298228.v1
title: food content analysis

description: content analysis
DOI: 10.5281/zenodo.8435050
title: Dataset: On the Stability of a Modular 1000 kV HVDC divider design

description: In order to calibrate high voltage dividers in testing laboratories and HVDC converter substations, a new measurement infrastructure for on-site calibration up to 1000 kV was established in 2013. A 1000 kV wide-band modular HVDC divider was built divided into stackable 200 kV HV modules for agile on-site assessment, with protection against damage from transients, and for measuring of ripple voltage. Nine 200 kV modules were built by the five NMIs and stacked to one 1000 kV divider and one 800 kV voltage divider. The scale factors of the two dividers were determined in a comparison campaign in June 2013, resulting in a combined expanded uncertainty better than 20 μV/V at 1000 kV, and better than 15 μV/V for 200 kV. Traceability of five modular systems have since been<br> maintained using three methods; where the first method is calibration of the HV resistance of each module and LV arm, calculating the scale factors. The second method uses the Hamon transfer method, applied by RISE with five 200 kV modules. The third method is by comparison of the scale factor which includes the LV arm against a lower voltage reference divider. This paper presents the stability and robustness of all divider systems from June 2013 to spring 2022. The long-term stability is presented for the resistance of both the high voltage and the low voltage arm as well as the scale factor. The result shows an unprecedented stability of a HV divider system.
DOI: 10.5281/zenodo.8435051
title: Dataset: On the Stability of a Modular 1000 kV HVDC divider design

description: In order to calibrate high voltage dividers in testing laboratories and HVDC converter substations, a new measurement infrastructure for on-site calibration up to 1000 kV was established in 2013. A 1000 kV wide-band modular HVDC divider was built divided into stackable 200 kV HV modules for agile on-site assessment, with protection against damage from transients, and for measuring of ripple voltage. Nine 200 kV modules were built by the five NMIs and stacked to one 1000 kV divider and one 800 kV voltage divider. The scale factors of the two dividers were determined in a comparison campaign in June 2013, resulting in a combined expanded uncertainty better than 20 μV/V at 1000 kV, and better than 15 μV/V for 200 kV. Traceability of five modular systems have since been<br> maintained using three methods; where the first method is calibration of the HV resistance of each module and LV arm, calculating the scale factors. The second method uses the Hamon transfer method, applied by RISE with five 200 kV modules. The third method is by comparison of the scale factor which includes the LV arm against a lower voltage reference divider. This paper presents the stability and robustness of all divider systems from June 2013 to spring 2022. The long-term stability is presented for the resistance of both the high voltage and the low voltage arm as well as the scale factor. The result shows an unprecedented stability of a HV divider system.
DOI: 10.5281/zenodo.8435071
title: Dataset: On the Stability of a Modular 1000 kV HVDC divider design

description: In order to calibrate high voltage dividers in testing laboratories and HVDC converter substations, a new measurement infrastructure for on-site calibration up to 1000 kV was established in 2013. A 1000 kV wide-band modular HVDC divider was built divided into stackable 200 kV HV modules for agile on-site assessment, with protection against damage from transients, and for measuring of ripple voltage. Nine 200 kV modules were built by the five NMIs and stacked to one 1000 kV divider and one 800 kV voltage divider. The scale factors of the two dividers were determined in a comparison campaign in June 2013, resulting in a combined expanded uncertainty better than 20 μV/V at 1000 kV, and better than 15 μV/V for 200 kV. Traceability of five modular systems have since been<br> maintained using three methods; where the first method is calibration of the HV resistance of each module and LV arm, calculating the scale factors. The second method uses the Hamon transfer method, applied by RISE with five 200 kV modules. The third method is by comparison of the scale factor which includes the LV arm against a lower voltage reference divider. This paper presents the stability and robustness of all divider systems from June 2013 to spring 2022. The long-term stability is presented for the resistance of both the high voltage and the low voltage arm as well as the scale factor. The result shows an unprecedented stability of a HV divider system.
DOI: 10.5281/zenodo.8419069
title: SMRT PacBio Sequel sequencing of 12 Silene herbarium specimens

description: The folder includes reads sequenced with SMRT PacBio Sequel from twelve Silene herbarium specimens. Both demultiplexed and non demultiplexed reads are included. The demultiplexed reads are in folder called "demultiplexed.zip", in files starting with "Barcodenumber_speciesnamesamplingyear.fastq". The barcode number and sequence can be found below, in the description. The non demultiplexed reads are in file called "ps_248_001.ccsreads.fastq.gz". #NebNext Barcodes<br> #Adapter('Barcode 1 (forward)',<br> # start_sequence=('BC01', 'CGTGAT'),<br> # end_sequence=('BC01_rev', 'ATCACG')),<br> #Adapter('Barcode 2 (forward)',<br> # start_sequence=('BC02', 'ACATCG'),<br> # end_sequence=('BC02_rev', 'CGATGT')),<br> #Adapter('Barcode 3 (forward)',<br> # start_sequence=('BC03', 'GCCTAA'),<br> # end_sequence=('BC03_rev', 'TTAGGC')),<br> #Adapter('Barcode 4 (forward)',<br> # start_sequence=('BC04', 'TGGTCA'),<br> # end_sequence=('BC04_rev', 'TGACCA')),<br> #Adapter('Barcode 5 (forward)',<br> # start_sequence=('BC05', 'CACTGT'),<br> # end_sequence=('BC05_rev', 'ACAGTG')),<br> #Adapter('Barcode 6 (forward)',<br> # start_sequence=('BC06', 'ATTGGC'),<br> # end_sequence=('BC06_rev', 'GCCAAT')),<br> #Adapter('Barcode 7 (forward)',<br> # start_sequence=('BC07', 'GATCTG'),<br> # end_sequence=('BC07_rev', 'CAGATC')),<br> #Adapter('Barcode 8 (forward)',<br> # start_sequence=('BC08', 'TCAAGT'),<br> # end_sequence=('BC08_rev', 'ACTTGA')),<br> #Adapter('Barcode 9 (forward)',<br> # start_sequence=('BC09', 'CTGATC'),<br> # end_sequence=('BC09_rev', 'GATCAG')),<br> #Adapter('Barcode 10 (forward)',<br> # start_sequence=('BC10', 'AAGCTA'),<br> # end_sequence=('BC10_rev', 'TAGCTT')),<br> #Adapter('Barcode 11 (forward)',<br> # start_sequence=('BC11', 'GTAGCC'),<br> # end_sequence=('BC11_rev', 'GGCTAC')),<br> #Adapter('Barcode 12 (forward)',<br> # start_sequence=('BC12', 'TACAAG'),<br> # end_sequence=('BC12_rev', 'CTTGTA')),]