cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
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DOI: 10.7910/dvn/dcdkzq/oiztos
title: UAL_Dataverse_2020.06.26_02.19.19.zip

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DOI: 10.7910/dvn/dcdkzq/wnmu85
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DOI: 10.7910/dvn/dcdkzq/kwkvyc
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DOI: 10.7910/dvn/dcdkzq/y1gy3z
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DOI: 10.7910/dvn/dcdkzq/8fquvs
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DOI: 10.7910/dvn/dcdkzq/4v867n
title: Pontificia_Universidad_Catolica_del_Peru_2020.06.26_01.55.52.zip

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DOI: 10.7910/dvn/dcdkzq/phj7hb
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DOI: 10.7910/dvn/dcdkzq/bzwvma
title: Scholars_Portal_2020.06.26_01.59.49.zip

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DOI: 10.7910/dvn/dcdkzq/guttru
title: metadatablocks.tab

description: This tabular file contains the metadatablock names, field names and subfield names (if the field is a compound field) of the 36 Dataverse installations' metadatablocks. Useful for analysis of the metadatablocks of the 36 Dataverse installations.
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DOI: 10.7910/dvn/dcdkzq/d7e3bv
title: AUSSDA_Dataverse_2020.09.18_19.26.31.zip

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DOI: 10.7910/dvn/dcdkzq/f0n2bl
title: ACSS_Dataverse_2020.09.18_19.24.20.zip

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DOI: 10.7910/dvn/dcdkzq/8aibnz
title: Dartmouth_Dataverse_2020.09.18_19.46.19.zip

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DOI: 10.7910/dvn/dcdkzq/1rlv3j
title: Abacus_2020.09.18_18.32.54.zip

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DOI: 10.7910/dvn/dcdkzq/vlkxeb
title: DaRUS_2020.09.18_19.47.19.zip

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DOI: 10.7910/dvn/dcdkzq/fwliyy
title: CIDACS_2020.09.18_19.45.51.zip

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DOI: 10.7910/dvn/dcdkzq/sadpdw
title: Data_Suds_2020.09.19_01.47.00.zip

description: :unav
DOI: 10.7910/dvn/dcdkzq/m9t8wy
title: UniversitÃ _degli_Studi_di_Milano_2020.09.19_01.29.29.zip

description: :unav
DOI: 10.7910/dvn/dcdkzq/kegdap
title: Libra_Data_2020.09.18_23.38.28.zip

description: :unav
DOI: 10.7910/dvn/dcdkzq/abp3m8
title: HeiDATA_2020.09.18_23.05.51.zip

description: :unav
DOI: 10.7910/dvn/dcdkzq/liumnh
title: University_of_Manitoba_Dataverse_2020.09.19_01.27.17.zip

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DOI: 10.7910/dvn/dcdkzq/7lgjpi
title: DataverseNL_2020.09.19_02.15.52.zip

description: :unav
DOI: 10.7910/dvn/dcdkzq/dftcju
title: Johns_Hopkins_University_2020.09.18_23.35.55.zip

description: :unav
DOI: 10.7910/dvn/dcdkzq/kufgoq
title: Peking_University_2020.09.18_23.52.59.zip

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DOI: 10.7910/dvn/dcdkzq/ltgxvp
title: RepositÃ³rio_de_Dados_de_Pesquisa_da_UFABC_2020.09.19_00.17.20.zip

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DOI: 10.7910/dvn/dcdkzq/zjzjyf
title: RepositÃ³rios_Piloto_da_Rede_Nacional_de_Ensino_e_Pesquisa_2020.09.19_00.17.54.zip

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DOI: 10.7910/dvn/dcdkzq/y01gyf
title: Open_Data_@_UCLouvain_2020.09.18_23.52.21.zip

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DOI: 10.7910/dvn/dcdkzq/5gqucd
title: NIOZ_Dataverse_2020.09.18_23.51.38.zip

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DOI: 10.7910/dvn/dcdkzq/lzgavx
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DOI: 10.7910/dvn/dcdkzq/xzrjsb
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title: Institute_of_Russian_Literature_Dataverse_2020.09.18_23.35.40.zip

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DOI: 10.7910/dvn/dcdkzq/u2sxur
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DOI: 10.7910/dvn/dcdkzq/r6ji16
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DOI: 10.7910/dvn/dcdkzq/q14frp
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DOI: 10.7910/dvn/dcdkzq/r43cct
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DOI: 10.7910/dvn/dcdkzq/v2gbtu
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DOI: 10.7910/dvn/dcdkzq/95fl4w
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DOI: 10.7910/dvn/dcdkzq/gahpcg
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DOI: 10.7910/dvn/dcdkzq/zcdbbf
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DOI: 10.7910/dvn/dcdkzq/4tyn08
title: Repositório_de_Dados_de_Pesquisa_UNIFESP_2020.09.23_14.22.11.zip

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DOI: 10.7910/dvn/dcdkzq/om33ff
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DOI: 10.7910/dvn/dcdkzq/qu9meg
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DOI: 10.7910/dvn/dcdkzq/soln0a
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DOI: 10.7910/dvn/dcdkzq/4edr6w
title: metadatablocks.tab

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DOI: 10.7910/dvn/dcdkzq/8igzck
title: Reposit¢rio_de_Dados_de_Pesquisa_UNIFESP_2020.09.23_14.22.11.zip

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DOI: 10.7910/dvn/dcdkzq/lrazjp
title: Center_for_International_Forestry_Research_(CIFOR)_2020.09.22_21.53.31.zip

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DOI: 10.7910/dvn/dcdkzq/w01xcb
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DOI: 10.7910/dvn/dcdkzq/polcfz
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DOI: 10.7910/dvn/dcdkzq/s0auui
title: ADA_Dataverse_2020.09.22_21.23.56.zip

description: :unav
DOI: 10.6084/m9.figshare.12854252
title: Chemical variability of essential oils of three subspecies of <i>Thymus munbyanus</i> Boiss. & Reut. from Western Algeria

description: Chemical composition of the essential oils of three subspecies of Algerian <i>Thymus munbyanus</i> Boiss. & Reut. (<i>subsp. <i>abylaeus</i>, <i>subsp. </i> <i>ciliatus</i> and <i>subsp. <i>coloratus</i>)</i> </i> aerial parts have been investigated. GC and GC/MS analysis allowed the identification of sixty-eight compounds accounting for 99.3%, 99.7% and 98.2% of collective essential oils of three subspecies. The main components of three collective essential oils were: α-terpinyl acetate (51.7%), α-terpineol (9.7%), borneol (6.8%) and bornyl acetate (5.2%) for subsp. <i>abylaeus</i>; carvacrol (65.7%), γ-terpinene (13.6%) and p-cymene (7.9%) for subsp. <i>ciliatus</i> and camphor (25.9%), myrcene (16.9%), 1,8-cineole (6.5%) and camphene (6.2%) for subsp. <i>coloratus</i>. Intra-species variations of chemical compositions of essential oil from thirty-five Algerian samples were also investigated using statistical analysis. Essential oils samples were discriminated in three main clusters confirming relation between the chemical compositions and taxonomical differentiation between the three subspecies. These results confirm chemotaxonomic differentiation of all subspecies of <i>T. munbyanus</i>.
DOI: 10.6084/m9.figshare.12854252.v1
title: Chemical variability of essential oils of three subspecies of <i>Thymus munbyanus</i> Boiss. & Reut. from Western Algeria

description: Chemical composition of the essential oils of three subspecies of Algerian <i>Thymus munbyanus</i> Boiss. & Reut. (<i>subsp. <i>abylaeus</i>, <i>subsp. </i> <i>ciliatus</i> and <i>subsp. <i>coloratus</i>)</i> </i> aerial parts have been investigated. GC and GC/MS analysis allowed the identification of sixty-eight compounds accounting for 99.3%, 99.7% and 98.2% of collective essential oils of three subspecies. The main components of three collective essential oils were: α-terpinyl acetate (51.7%), α-terpineol (9.7%), borneol (6.8%) and bornyl acetate (5.2%) for subsp. <i>abylaeus</i>; carvacrol (65.7%), γ-terpinene (13.6%) and p-cymene (7.9%) for subsp. <i>ciliatus</i> and camphor (25.9%), myrcene (16.9%), 1,8-cineole (6.5%) and camphene (6.2%) for subsp. <i>coloratus</i>. Intra-species variations of chemical compositions of essential oil from thirty-five Algerian samples were also investigated using statistical analysis. Essential oils samples were discriminated in three main clusters confirming relation between the chemical compositions and taxonomical differentiation between the three subspecies. These results confirm chemotaxonomic differentiation of all subspecies of <i>T. munbyanus</i>.
DOI: 10.6084/m9.figshare.13007747
title: two datasets and the visualization

description: dataset_a.json: 1000 random numbers over the range 0-100dataset_b.json: new numbers from the original 1000 numbers in 1_a.json using the equation y=3x+6results.png: generated by these two datasets
DOI: 10.6084/m9.figshare.12514883
title: Pan-genome of 10,000 E. coli isolates

description: The complete metadata of 10,146 high quality <i>E. coli</i> genomes isolated from human hosts (F1).Description and complete profiling of 50 <i>E. coli </i>lineages which represent the majority of publicly available human-isolated <i>E. coli</i> genomes (F2). Phylogenetic trees presented in the manuscript (with 500 genomes and with 50 genomes).The complete pan-genome of the collection which includes: A FASTA file containing the representative sequence of each gene of the gene pool (F3).Complete gene presence-absence across all isolates (F4).The frequency of each gene within each of the lineages (F5)Representative sequences from each lineage of the final set of genes in the gene-pool (i.e. a representative sequence from each lineage) (F6)<br>
DOI: 10.6084/m9.figshare.12514883.v1
title: Pan-genome of 10,000 E. coli isolates

description: The complete metadata of 10,146 high quality <i>E. coli</i> genomes isolated from human hosts (F1).Description and complete profiling of 50 <i>E. coli </i>lineages which represent the majority of publicly available human-isolated <i>E. coli</i> genomes (F2). Phylogenetic trees presented in the manuscript (with 500 genomes and with 50 genomes).The complete pan-genome of the collection which includes: A FASTA file containing the representative sequence of each gene of the gene pool (F3).Complete gene presence-absence across all isolates (F4).The frequency of each gene within each of the lineages (F5)Representative sequences from each lineage of the final set of genes in the gene-pool (i.e. a representative sequence from each lineage) (F6)<br>
DOI: 10.18112/openneuro.ds003182.v1.0.0
title: The Functional Organization of High-Level Visual Cortex Determines the Representation of Complex Visual Stimuli - Experiment 2
DOI: 10.6084/m9.figshare.13007747.v1
title: two datasets and the visualization

description: dataset_a.json: 1000 random numbers over the range 0-100dataset_b.json: new numbers from the original 1000 numbers in 1_a.json using the equation y=3x+6results.png: generated by these two datasets
DOI: 10.6084/m9.figshare.13007801.v1
title: List of public health degrees and if they offer a GRE waiver

description: A dataset including all degrees / concentrations as of September 20, 2020 from CEPH accredited public health programs and whether they offer a GRE waiver. Supplemental table to the article "The GRE in Public Health Admissions: Barriers, Waivers, and Moving Forward."
DOI: 10.6084/m9.figshare.13007801
title: List of public health degrees and if they offer a GRE waiver

description: A dataset including all degrees / concentrations as of September 20, 2020 from CEPH accredited public health programs and whether they offer a GRE waiver. Supplemental table to the article "The GRE in Public Health Admissions: Barriers, Waivers, and Moving Forward."
DOI: 10.6084/m9.figshare.12155553.v1
title: A global dataset for crop production under conventional tillage and conservation agriculture

description: Author: <br>Yang Su 1, Benoit Gabrielle 1, David Makowski 2,3 <br>Affiliations: <br>1. UMR ECOSYS, INRAE AgroParisTech, Université Paris-Saclay, 78850 Thiverval-Grignon, France 2. UMR Agronomie, INRAE AgroParisTech, Université Paris-Saclay, 78850 Thiverval-Grignon, France<br>3. CIRED, Centre international de recherche sur l’environnement et le développement, 45bis Avenue de la Belle Gabrielle, 94130 Nogent-sur-Marne, France<br><br>This dataset includes the results extracted from 422 papers (published between 1983 to 2020), 4071 paired yield observations from CA and CT for 8 major crop species (369 observations for barley, 94 observations for cotton, 1580 observations for maize, 169 observation for rice, 145 observations for sorghum, 552 observations for soybean, 60 observations for sunflower, 1122 observations for wheat) in 51 countries from 1980 to 2017. <br>For more information, please contact with author through: yang.su@inra.fr<br>
DOI: 10.6084/m9.figshare.12155553.v2
title: A global dataset for crop production under conventional tillage and conservation agriculture

description: Author: <br>Yang Su 1, Benoit Gabrielle 1, David Makowski 2,3 <br>Affiliations: <br>1. UMR ECOSYS, INRAE AgroParisTech, Université Paris-Saclay, 78850 Thiverval-Grignon, France 2. UMR Agronomie, INRAE AgroParisTech, Université Paris-Saclay, 78850 Thiverval-Grignon, France<br>3. CIRED, Centre international de recherche sur l’environnement et le développement, 45bis Avenue de la Belle Gabrielle, 94130 Nogent-sur-Marne, France<br><br>This dataset includes the results extracted from 422 papers (published between 1983 to 2020), 4403 paired yield observations from CA and CT for 8 major crop species (370 observations for barley (232 for spring barley and 138 for winter barley), 94 observations for cotton, 1690 observations for maize, 195 observation for rice, 160 observations for sorghum, 583 observations for soybean, 61 observations for sunflower, 1250 observations for wheat (209 for spring wheat and 1041 for winter wheat)) in 50 countries from 1980 to 2017. <br>For more information, please contact with author through: yang.su@inrae.fr<br>
DOI: 10.15468/eydadk
title: Five new species of Caliscelidae (Insecta, Hemiptera) from Mexico and Panama, with additional redescriptions of little-known species

description: This dataset contains the digitized treatments in Plazi based on the original journal article de Freitas, Abner S., Dietrich, Christopher H., Takiya, Daniela M. (2020): Five new species of Caliscelidae (Insecta, Hemiptera) from Mexico and Panama, with additional redescriptions of little-known species. European Journal of Taxonomy 717: 27-69, DOI: https://doi.org/10.5852/ejt.2020.717
DOI: 10.6084/m9.figshare.13007861
title: VAT design and growth

description: Dataset for "The Value Added Tax and Growth: Design matters"
DOI: 10.6084/m9.figshare.13007861.v1
title: VAT design and growth

description: Dataset for "The Value Added Tax and Growth: Design matters"
DOI: 10.15482/usda.adc/1519430
title: Delta Produce Sources Study
DOI: 10.25934/00005875.1
title: IPD datapackage for study 'A Randomized, Double-Blind, Parallel-Group, Placebo-Controlled, Active-Referenced, Fixed-Dose Study Comparing the Efficacy and Safety of 2 Doses of Lu AA21004 in Acute Treatment of Adults With Major Depressive Disorder' and research request: 'Tolerability of duloxetine in the elderly and in adults: a systematic review and individual patient data meta-analysis of randomized controlled trials versus placebo.'

description: Vivli is an independent, non-profit organization that has developed a global data-sharing and analytics platform to serve all elements of the international research community. Our mission is to promote, coordinate, and facilitate scientific sharing and reuse of clinical research data through the creation and implementation of a sustainable global data-sharing enterprise. The Vivli platform includes an independent data repository, in-depth search engine and a cloud-based, secure analytics platform.
DOI: 10.6084/m9.figshare.12911870
title: Data and software code for Bayesian mixed latent Markov models for binary diagnostic data.

description: This is data from multiple diagnostic tests (4 qPCR assays, 1 stool culture) for Salmonella infection as well as JAGS / R code to analyse the data. Each test returns a positive / negative result. The software implements a latent Markov model.<br>Data provided under a CC BY 4.0 license, software under an MIT license.<br>Data files used by the uploaded software code:* salexpoLIMSDataSetComplete.csv* TAC Results_4Marc TAC TTR TAC InvA Ct For Correlation.csv* TTR & InvA master file Ct for correlation.csv<br>* TTRInvASensitivity20170724_corrected.csv<br><br>Raw data:* TAC Results_TAC-TTR_TAC-InvA_I_Ct ValuesTAC Results_TAC-TTR_TAC-InvA_IC_Ct-values.csv* Salmonella_Detection_Stool_TTR_InvA_raw_data.xlsx<br>
DOI: 10.6084/m9.figshare.12911870.v2
title: Data and software code for Bayesian mixed latent Markov models for binary diagnostic data.

description: This is data from multiple diagnostic tests (4 qPCR assays, 1 stool culture) for Salmonella infection as well as JAGS / R code to analyse the data. Each test returns a positive / negative result. The software implements a latent Markov model.<br>Data provided under a CC BY 4.0 license, software under an MIT license.<br>
DOI: 10.5255/ukda-sn-854233
title: A public inconvenience: Better toilets for inclusive travel, a study investigating toilet provision when travelling for people with dementia and other physical and cognitive impairments 2018

description: Data collected by twelve co-researchers depicting their perspective on toilets across the country. The co-researchers took multiple photos and described their experience of finding and using toilets in photo diaries. They also recorded their sensory experiences. Information was gathered on toilets in travel hubs and on vehicles such as buses, trains and ferries. Many of the photos involved public toilets at places of interest and leisure destinations.
DOI: 10.21227/1t8q-q827
title: ExoNet Database: Wearable Camera Images of Human Locomotion Environments

description: Abstract: Recent advances in computer vision and artificial intelligence are allowing researchers to develop environment recognition systems for powered lower-limb exoskeletons and prostheses. However, small-scale and private training datasets have impeded the widespread development and dissemination of image classification algorithms for classifying human walking environments. To address this limitation, we developed “ExoNet” - the first open-source, large-scale hierarchical database of high-resolution wearable camera images of human locomotion environments. Unparalleled in scale and diversity, ExoNet contains over 5.6 million images of different indoor and outdoor real-world walking environments, which were collected using a lightweight wearable smartphone camera throughout the summer, fall, and winter seasons. Approximately 923,000 images in ExoNet were human-annotated using a 12-class hierarchical labelling architecture. Available publicly through IEEE DataPort, ExoNet offers an unprecedented communal platform to train, develop, and compare next-generation image classification algorithms for human locomotion environment recognition. Beyond the control of powered lower-limb exoskeletons and prostheses, prospective applications of ExoNet extend to humanoid and autonomous legged robotics.Reference: Laschowski B, McNally W, Wong A, and McPhee J. (2020). ExoNet Database: Wearable Camera Images of Human Locomotion Environments. Frontiers in Robotics and Artificial Intelligence. Under Review.
DOI: 10.25934/00005877.1
title: IPD datapackage for study 'A Phase 3, Randomized, Double-Blind, Parallel-Group, Placebo-Controlled, Duloxetine-Referenced, Fixed-Dose Study Comparing the Efficacy and Safety of 2 Doses (15 and 20 mg) of Lu AA21004 in Acute Treatment of Adults With Major Depressive Disorder' and research request: 'Tolerability of duloxetine in the elderly and in adults: a systematic review and individual patient data meta-analysis of randomized controlled trials versus placebo.'

description: Vivli is an independent, non-profit organization that has developed a global data-sharing and analytics platform to serve all elements of the international research community. Our mission is to promote, coordinate, and facilitate scientific sharing and reuse of clinical research data through the creation and implementation of a sustainable global data-sharing enterprise. The Vivli platform includes an independent data repository, in-depth search engine and a cloud-based, secure analytics platform.
DOI: 10.6084/m9.figshare.12155553.v3
title: A global dataset for crop production under conventional tillage and no tillage system

description: Author: <br>Yang Su 1, Benoit Gabrielle 1, David Makowski 2,3 <br>Affiliations: <br>1. UMR ECOSYS, INRAE AgroParisTech, Université Paris-Saclay, 78850 Thiverval-Grignon, France 2. UMR Agronomie, INRAE AgroParisTech, Université Paris-Saclay, 78850 Thiverval-Grignon, France<br>3. CIRED, Centre international de recherche sur l’environnement et le développement, 45bis Avenue de la Belle Gabrielle, 94130 Nogent-sur-Marne, France<br><br>This dataset includes the results extracted from 422 papers (published between 1983 to 2020), 4403 paired yield observations from CA and CT for 8 major crop species (370 observations for barley (232 for spring barley and 138 for winter barley), 94 observations for cotton, 1690 observations for maize, 195 observation for rice, 160 observations for sorghum, 583 observations for soybean, 61 observations for sunflower, 1250 observations for wheat (209 for spring wheat and 1041 for winter wheat)) in 50 countries from 1980 to 2017. <br>For more information, please contact with author through: yang.su@inrae.fr<br>
DOI: 10.5281/zenodo.4050234
title: Source Data - Ilzhofer et al. - Phase coherence in out-of-equilibrium supersolid states of ultracold dipolar atoms

description: Source data for following publication: "Phase coherence in out-of-equilibrium supersolid states of ultracold dipolar atoms" (2019) P. Ilzhofer and M. Sohmen and G. Durastante and Claudia Politi and A. Trautmann and G. Morpurgo and T. Giamarchi and L. Chomaz and M. Mark and F. Ferlaino Institut f ̈ur Quantenoptik und Quanteninformation, ̈Osterreichische Akademie der Wissenschaften, 6020 Innsbruck, Austria Institut f ̈ur Experimentalphysik und Zentrum f ̈ur Quantenoptik,Universit ̈at Innsbruck, Technikerstraße 25, 6020 Innsbruck, Austria DQMP, University of Geneva, 24 Quai Ernest-Ansermet, CH-1211 Geneva, Switzerland
DOI: 10.5281/zenodo.4050233
title: Source Data - Ilzhofer et al. - Phase coherence in out-of-equilibrium supersolid states of ultracold dipolar atoms

description: Source data for following publication: "Phase coherence in out-of-equilibrium supersolid states of ultracold dipolar atoms" (2019) P. Ilzhofer and M. Sohmen and G. Durastante and Claudia Politi and A. Trautmann and G. Morpurgo and T. Giamarchi and L. Chomaz and M. Mark and F. Ferlaino Institut f ̈ur Quantenoptik und Quanteninformation, ̈Osterreichische Akademie der Wissenschaften, 6020 Innsbruck, Austria Institut f ̈ur Experimentalphysik und Zentrum f ̈ur Quantenoptik,Universit ̈at Innsbruck, Technikerstraße 25, 6020 Innsbruck, Austria DQMP, University of Geneva, 24 Quai Ernest-Ansermet, CH-1211 Geneva, Switzerland