cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.4022318
title: AriEmozione 1.0

description: The corpus AriEmozione 1.0 contains a selection of operas composed between 1655 and 1765, with each verse annotated (labeled) with an emotion.<br> AriEmozione 1.0 is a subset of the materials collected by project CORAGO.<br> We consider only the lyrical text of the arias in each of the 678 operas included. All texts are written in Italian of that period and articulated in verses. The following classes have been used to identify emotions: Amore (Love) Gioia (Joy) Ammirazione (Admiration) Rabbia (Anger) Tristezza (Sadness) Paura (Fear) Nessuna (Nothing) The corpus is composed of training (1973 verses), development (250 verses) and testing (250 verses) partitions. Data partitioning made use of Kullback–Leibler divergence to create partitions with similar probability distribution. Each partition tsv file contains the following columns: Verse ID : unique aria and verse ID Verse text: the text of the verse in the aria Emotion: one of the six emotions described above, or Nessuna. Confidence: expression of confidence by the annotators, with the possible values of "Totalmente sicura" (very confident), "Abbastanza sicura" (somewhat confident), "Forti dubbi" (very doubtful). <strong>How to cite:</strong> @inproceedings{fernicola2020ariemozione,<br> title={AriEmozione: Identifying Emotions in Opera Verses},<br> author={Fernicola, Francesco and Zhang, Shibingfeng and Garcea, Federico and Bonora, Paolo and Barr{\'o}n-Cede\~no, Alberto},<br> booktitle={Italian Conference on Computational Linguistics},<br> year={2020}<br> }
description: {"references": ["Fernicola, Zhang, Federico Garcea, Bonora, and Barr\u00f3n-Cede\u00f1o (2020). AriEmozione: Identifying Emotions in Opera Verses. In Proceedings of the Italian Conference on Computational Linguistics (CLIC-it 2020), Bologna, Italy, 2021"]}
DOI: 10.5281/zenodo.4022317
title: AriEmozione 1.0

description: The corpus AriEmozione 1.0 contains a selection of operas composed between 1655 and 1765, with each verse annotated (labeled) with an emotion.<br> AriEmozione 1.0 is a subset of the materials collected by project CORAGO.<br> We consider only the lyrical text of the arias in each of the 678 operas included. All texts are written in Italian of that period and articulated in verses. The following classes have been used to identify emotions: Amore (Love) Gioia (Joy) Ammirazione (Admiration) Rabbia (Anger) Tristezza (Sadness) Paura (Fear) Nessuna (Nothing) The corpus is composed of training (1973 verses), development (250 verses) and testing (250 verses) partitions. Data partitioning made use of Kullback–Leibler divergence to create partitions with similar probability distribution. Each partition tsv file contains the following columns: Verse ID : unique aria and verse ID Verse text: the text of the verse in the aria Emotion: one of the six emotions described above, or Nessuna. Confidence: expression of confidence by the annotators, with the possible values of "Totalmente sicura" (very confident), "Abbastanza sicura" (somewhat confident), "Forti dubbi" (very doubtful). <strong>How to cite:</strong> @inproceedings{fernicola2020ariemozione,<br> title={AriEmozione: Identifying Emotions in Opera Verses},<br> author={Fernicola, Francesco and Zhang, Shibingfeng and Garcea, Federico and Bonora, Paolo and Barr{\'o}n-Cede\~no, Alberto},<br> booktitle={Italian Conference on Computational Linguistics},<br> year={2020}<br> }
description: {"references": ["Fernicola, Zhang, Federico Garcea, Bonora, and Barr\u00f3n-Cede\u00f1o (2020). AriEmozione: Identifying Emotions in Opera Verses. In Proceedings of the Italian Conference on Computational Linguistics (CLIC-it 2020), Bologna, Italy, 2021"]}
DOI: 10.15151/esrf-es-894385672
title: Can plants reduce chromium to metallic form ?

description: Knowledge of Cr redox state in crop plants is fundamental to assess potential Chromium (Cr) toxicity to human beings. XAS is an ideal probe to determine the oxidation state of Cr in plant matrix. We propose to use High Energy Resolution Fluorescence Detected X-ray Absorption Spectroscopy (HERFD-XAS) to characterize the speciation of Cr in plants samples with “natural Cr levels” collected from laboratory experiments. The objective is to fill the gap in fundamental knowledge of the Cr speciation in plants at low but environmentally-relevant range of concentrations. Indeed, it is well known that plant can reduce Cr(VI) to Cr(III), but our preliminary results achieved on a single sample tend to show that plant can also reduce Cr(III) to Cr(0). This result is new and need to be confirmed on a larger set of plant samples.
DOI: 10.34658/rdb.v0sxvu/89s3cq
title: PAGAT2-Pluronic series5 2021.dcd

description: :unav
DOI: 10.34658/rdb.v0sxvu/tj3y8j
title: PAGAT2-Pluronic 20 times averaged 2020.gvd

description: :unav
DOI: 10.34658/rdb.v0sxvu/wievbk
title: PAGAT2-Pluronic series1 2021.dcd

description: :unav
DOI: 10.34658/rdb.v0sxvu/o4ba6n
title: PAGAT2-Pluronic 2021.dcp

description: :unav
DOI: 10.34658/rdb.v0sxvu/doytwa
title: PAGAT2-Pluronic series6 2021.dcd

description: :unav
DOI: 10.34658/rdb.v0sxvu/jqw9wl
title: PAGAT2-Pluronic series8 2021.dcd

description: :unav
DOI: 10.34658/rdb.v0sxvu/yckg5f
title: PAGAT2-Pluronic series4 2021.dcd

description: :unav
DOI: 10.34658/rdb.v0sxvu/prakc4
title: PAGAT2-Pluronic 2020.gvd

description: :unav
DOI: 10.34658/rdb.v0sxvu/hkpn5b
title: PAGAT2-Pluronic ROI density foam 2020.drd

description: :unav
DOI: 10.34658/rdb.v0sxvu/lltgbq
title: PAGAT2-Pluronic Average 2020.dcp

description: :unav
DOI: 10.34658/rdb.v0sxvu/czxiiz
title: PAGAT2-Pluronic series7 2021.dcd

description: :unav
DOI: 10.34658/rdb.v0sxvu/ouu81i
title: PAGAT2-Pluronic + NaCl 20 times averaged 2020.gvd

description: :unav
DOI: 10.34658/rdb.v0sxvu/khrsxx
title: PAGAT2-Pluronic series3 2021.dcd

description: :unav
DOI: 10.34658/rdb.v0sxvu/slhpxc
title: PAGAT2-Pluronic + NaCl 2020.gvd

description: :unav
DOI: 10.34658/rdb.v0sxvu/son04r
title: PAGAT2-Pluronic series2 2021.dcd

description: :unav
DOI: 10.34658/rdb.v0sxvu
title: MINIATURA4, 2020/04/X/ST5/00429, NCN, Dwufazowe dozymetry 3D imitujące płuca do zastosowania w radioterapii (Lung mimicking two-phase 3D dosimeters to use in radiotherapy)

description: The project aimed to create two-phase dosimeters imitating the lungs, which could be used in the future for patients with lung cancer. The presented data concern the results of imaging of lung-mimicking 3D polymer dosimeters using computed tomography.
DOI: 10.6084/m9.figshare.21184885
title: Chicory genome

description: Chicory genome annotation
DOI: 10.6084/m9.figshare.21184955
title: Additional file 2 of Risk factors for SARS-CoV-2 transmission in student residences: a case-ascertained study

description: Additional file 2.
DOI: 10.6084/m9.figshare.21184955.v1
title: Additional file 2 of Risk factors for SARS-CoV-2 transmission in student residences: a case-ascertained study

description: Additional file 2.
DOI: 10.6084/m9.figshare.21181078
title: Item Questionnaire and Result test

description: Innovative work behavior was measured using a scale compiled by Janssen (2000) and has been adapted by Etikariena & Muluk (2014). Authentic Leadership was measured using a questionnaire by Walumbwa et. al (2008) and has been adapted by Etikariena (2020). AKHLAK's organizational culture was created by the researcher
DOI: 10.6084/m9.figshare.21181078.v4
title: Item Questionnaire and Result test

description: Innovative work behavior was measured using a scale compiled by Janssen (2000) and has been adapted by Etikariena & Muluk (2014). Authentic Leadership was measured using a questionnaire by Walumbwa et. al (2008) and has been adapted by Etikariena (2020). AKHLAK's organizational culture was created by the researcher
DOI: 10.6084/m9.figshare.21181078.v3
title: Item Questionnaire and Results Questionnaire

description: Innovative work behavior was measured using a scale compiled by Janssen (2000) and has been adapted by Etikariena & Muluk (2014). Authentic Leadership was measured using a questionnaire by Walumbwa et. al (2008) and has been adapted by Etikariena (2020). AKHLAK's organizational culture was created by the researcher
DOI: 10.5281/zenodo.7100697
title: WhichDog: A crowdsourced dataset including candidate set-based labelling

description: A dataset with crowdsourced labels for aggregation and supervised classification.<br> It contains 400 images of dogs from the Stanford Dogs dataset (http://vision.stanford.edu/aditya86/ImageNetDogs/). Images of dogs that belong to 32 different breeds (classes) are included. Annotators were asked to provide two types of labelling: full labelling (each labeler is allowed to provide a single label for each image) and candidate labelling (each labeler is allowed to provide a set of candidate labels for each image). It includes a total of 61227 annotations (30628 full and 30599 candidate) obtained from a set of 1028 different labelers. The labels were collected through the online crowdsourcing platform Amazon mTurk thanks to funds provided by the Basque Government through the Elkartek program (KK-2018/00071). The assignments were designed as sequences of 64 images that were given to the annotators. Each image in the sequence was provided together with a specific subset of possible labels (with the number of options ranging from 4 to 32), and a instruction for the annotator to perform a specific type of labelling (full or candidate). Each labeler performed at least one assignment. Not all the labelers completed the 64 annotations in their assignments.<br> <br> The file 'whichdog.zip' contains a folder ('images') with the 400 images of dogs, a text file ('breed_names.txt') that indicates the names of the different breeds and their assigned label (a number in the interval from 0 to 31) and a CSV file ('whichdog_all_annots.csv') that contains the information about the annotations. Each row of the CSV file represents a single annotation, and each column shows:<br> - image_id: ID number of the image.<br> - is_candidate: indicates whether the requested labelling is full (0) or candidate (1).<br> - labeler_id: ID number of the labeler.<br> - time: time employed by the labeler to perform the annotation.<br> - answer: label or set of labels provided by the labeler as annotation.<br> - options: subset of possible labels shown to the labeler.<br> - assignment_id: ID number of the assignment<br> - sequence_point: number that indicates the point of the sequence of images of the assignment in which the annotation was provided.<br> - class: ground truth label of the image.
DOI: 10.5281/zenodo.7100698
title: WhichDog: A crowdsourced dataset including candidate set-based labelling

description: A dataset with crowdsourced labels for aggregation and supervised classification.<br> It contains 400 images of dogs from the Stanford Dogs dataset (http://vision.stanford.edu/aditya86/ImageNetDogs/). Images of dogs that belong to 32 different breeds (classes) are included. Annotators were asked to provide two types of labelling: full labelling (each labeler is allowed to provide a single label for each image) and candidate labelling (each labeler is allowed to provide a set of candidate labels for each image). It includes a total of 61227 annotations (30628 full and 30599 candidate) obtained from a set of 1028 different labelers. The labels were collected through the online crowdsourcing platform Amazon mTurk thanks to funds provided by the Basque Government through the Elkartek program (KK-2018/00071). The assignments were designed as sequences of 64 images that were given to the annotators. Each image in the sequence was provided together with a specific subset of possible labels (with the number of options ranging from 4 to 32), and a instruction for the annotator to perform a specific type of labelling (full or candidate). Each labeler performed at least one assignment. Not all the labelers completed the 64 annotations in their assignments.<br> <br> The file 'whichdog.zip' contains a folder ('images') with the 400 images of dogs, a text file ('breed_names.txt') that indicates the names of the different breeds and their assigned label (a number in the interval from 0 to 31) and a CSV file ('whichdog_all_annots.csv') that contains the information about the annotations. Each row of the CSV file represents a single annotation, and each column shows:<br> - image_id: ID number of the image.<br> - is_candidate: indicates whether the requested labelling is full (0) or candidate (1).<br> - labeler_id: ID number of the labeler.<br> - time: time employed by the labeler to perform the annotation.<br> - answer: label or set of labels provided by the labeler as annotation.<br> - options: subset of possible labels shown to the labeler.<br> - assignment_id: ID number of the assignment<br> - sequence_point: number that indicates the point of the sequence of images of the assignment in which the annotation was provided.<br> - class: ground truth label of the image.
DOI: 10.6084/m9.figshare.21185054
title: Additional file 2 of Expert consultation using the on-line Delphi method for the revision of syndromic groups compiled from emergency data (SOS Médecins and OSCOUR®) in France

description: Additional file 2. a. Number of participants contacted and having answered the Delphi SOS Médecins survey. The first column indicates the different rounds of the Delphi SOS Médecins survey. The next 3 columns indicate results for the different groups of the survey. The last column shows the total for all the three groups. The 3 first lines give the number of people per group to whom the questionnaire was sent for each round. The last 3 rows show the number of people who responded to the questionnaire and the participation rate in percentage (number of persons who completed the questionnaire by the number of persons contacted) in each group, for each round. b. Number of participants contacted and having answered the Delphi OSCOUR® survey. The first column indicates the different rounds of the Delphi OSCOUR® survey. The next 3 columns indicate results for the different groups of the survey. The last column shows the total for all the three groups. The three first line give the number of people per group to whom the questionnaire was sent for each round. The last 3 rows show the number of people who responded to the questionnaire and the participation rate in percentage (number of persons who completed the questionnaire by the number of persons contacted) in each group, for each round.
DOI: 10.6084/m9.figshare.21185054.v1
title: Additional file 2 of Expert consultation using the on-line Delphi method for the revision of syndromic groups compiled from emergency data (SOS Médecins and OSCOUR®) in France

description: Additional file 2. a. Number of participants contacted and having answered the Delphi SOS Médecins survey. The first column indicates the different rounds of the Delphi SOS Médecins survey. The next 3 columns indicate results for the different groups of the survey. The last column shows the total for all the three groups. The 3 first lines give the number of people per group to whom the questionnaire was sent for each round. The last 3 rows show the number of people who responded to the questionnaire and the participation rate in percentage (number of persons who completed the questionnaire by the number of persons contacted) in each group, for each round. b. Number of participants contacted and having answered the Delphi OSCOUR® survey. The first column indicates the different rounds of the Delphi OSCOUR® survey. The next 3 columns indicate results for the different groups of the survey. The last column shows the total for all the three groups. The three first line give the number of people per group to whom the questionnaire was sent for each round. The last 3 rows show the number of people who responded to the questionnaire and the participation rate in percentage (number of persons who completed the questionnaire by the number of persons contacted) in each group, for each round.
DOI: 10.6084/m9.figshare.21185057
title: Additional file 3 of Expert consultation using the on-line Delphi method for the revision of syndromic groups compiled from emergency data (SOS Médecins and OSCOUR®) in France

description: Additional file 3. a. Diagnostic codes by syndromic groups (SG) (n = 14) and their proportion of consensus in the 3 rounds of the Delphi SOS Médecins survey. The first column indicates the syndromic group, the 2nd column the surveillance objective and the 3rd the label of diagnostic codes. Proportions of consensus are indicated in column 4th to 6th. And the last column indicates if the diagnosis was kept or no in the syndromic group. b. Diagnostic codes by syndromic groups (SG) (n = 11) and their proportion of consensus in the 3 rounds of the Delphi OSCOUR® survey. The first column indicates the syndromic group, the 2nd column the surveillance objective and the 3rd the label of diagnostic codes. Proportions of consensus are indicated in column 4th to 6th. The last two columns indicate if the diagnosis was kept or no in the syndromic group and the number of subcodes.
DOI: 10.6084/m9.figshare.21185057.v1
title: Additional file 3 of Expert consultation using the on-line Delphi method for the revision of syndromic groups compiled from emergency data (SOS Médecins and OSCOUR®) in France

description: Additional file 3. a. Diagnostic codes by syndromic groups (SG) (n = 14) and their proportion of consensus in the 3 rounds of the Delphi SOS Médecins survey. The first column indicates the syndromic group, the 2nd column the surveillance objective and the 3rd the label of diagnostic codes. Proportions of consensus are indicated in column 4th to 6th. And the last column indicates if the diagnosis was kept or no in the syndromic group. b. Diagnostic codes by syndromic groups (SG) (n = 11) and their proportion of consensus in the 3 rounds of the Delphi OSCOUR® survey. The first column indicates the syndromic group, the 2nd column the surveillance objective and the 3rd the label of diagnostic codes. Proportions of consensus are indicated in column 4th to 6th. The last two columns indicate if the diagnosis was kept or no in the syndromic group and the number of subcodes.
DOI: 10.6084/m9.figshare.21185115
title: Additional file 14 of Patterns of genetic variation and QTLs controlling grain traits in a collection of global wheat germplasm revealed by high-quality SNP markers

description: Additional file 14.
DOI: 10.6084/m9.figshare.21185115.v1
title: Additional file 14 of Patterns of genetic variation and QTLs controlling grain traits in a collection of global wheat germplasm revealed by high-quality SNP markers

description: Additional file 14.
DOI: 10.6084/m9.figshare.21185118
title: Additional file 15 of Patterns of genetic variation and QTLs controlling grain traits in a collection of global wheat germplasm revealed by high-quality SNP markers

description: Additional file 15.
DOI: 10.6084/m9.figshare.21185118.v1
title: Additional file 15 of Patterns of genetic variation and QTLs controlling grain traits in a collection of global wheat germplasm revealed by high-quality SNP markers

description: Additional file 15.
DOI: 10.6084/m9.figshare.21185121
title: Additional file 16 of Patterns of genetic variation and QTLs controlling grain traits in a collection of global wheat germplasm revealed by high-quality SNP markers

description: Additional file 16.
DOI: 10.6084/m9.figshare.21185121.v1
title: Additional file 16 of Patterns of genetic variation and QTLs controlling grain traits in a collection of global wheat germplasm revealed by high-quality SNP markers

description: Additional file 16.
DOI: 10.6084/m9.figshare.21185124
title: Additional file 17 of Patterns of genetic variation and QTLs controlling grain traits in a collection of global wheat germplasm revealed by high-quality SNP markers

description: Additional file 17.
DOI: 10.6084/m9.figshare.21185124.v1
title: Additional file 17 of Patterns of genetic variation and QTLs controlling grain traits in a collection of global wheat germplasm revealed by high-quality SNP markers

description: Additional file 17.
DOI: 10.6084/m9.figshare.21185127
title: Additional file 18 of Patterns of genetic variation and QTLs controlling grain traits in a collection of global wheat germplasm revealed by high-quality SNP markers

description: Additional file 18.
DOI: 10.6084/m9.figshare.21185127.v1
title: Additional file 18 of Patterns of genetic variation and QTLs controlling grain traits in a collection of global wheat germplasm revealed by high-quality SNP markers

description: Additional file 18.
DOI: 10.6084/m9.figshare.21185130
title: Additional file 19 of Patterns of genetic variation and QTLs controlling grain traits in a collection of global wheat germplasm revealed by high-quality SNP markers

description: Additional file 19.
DOI: 10.6084/m9.figshare.21185136
title: Additional file 20 of Patterns of genetic variation and QTLs controlling grain traits in a collection of global wheat germplasm revealed by high-quality SNP markers

description: Additional file 20.
DOI: 10.6084/m9.figshare.21185136.v1
title: Additional file 20 of Patterns of genetic variation and QTLs controlling grain traits in a collection of global wheat germplasm revealed by high-quality SNP markers

description: Additional file 20.
DOI: 10.6084/m9.figshare.21185139
title: Additional file 21 of Patterns of genetic variation and QTLs controlling grain traits in a collection of global wheat germplasm revealed by high-quality SNP markers

description: Additional file 21.
DOI: 10.6084/m9.figshare.21185139.v1
title: Additional file 21 of Patterns of genetic variation and QTLs controlling grain traits in a collection of global wheat germplasm revealed by high-quality SNP markers

description: Additional file 21.
DOI: 10.6084/m9.figshare.21185130.v1
title: Additional file 19 of Patterns of genetic variation and QTLs controlling grain traits in a collection of global wheat germplasm revealed by high-quality SNP markers

description: Additional file 19.
DOI: 10.5283/epub.52368
title: Data Archive of "Assisted dispersal and reproductive success in an ant species with matchmaking

description: Raw data on assisted dispersal in Cardiocondyla elegans. Article submitted to "ecology and evolution" (Wiley)
DOI: 10.5281/zenodo.7104040
title: Transcripts of Interviews: Bojonegoro 2018-2019

description: These are transcribed interviews record for field research in Bojonegoro during 2018-2019
DOI: 10.5281/zenodo.7104039
title: Transcripts of Interviews: Bojonegoro 2018-2019

description: These are transcribed interviews record for field research in Bojonegoro during 2018-2019
DOI: 10.25502/8r04-qa29/d
title: Genetic Gains in Grain Yield of Early-maturing Maize Hybrids under Contrasting Environments

description: Stress Tolerant Maize for Africa for Improved Livelihoods