cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.4672770
title: Malt Ontology

description: The scope of this RDFS/OWL ontology is providing malt and malt ingredient traceability, process control and style identification in a language neutral way. Term labels and descriptions (and overall ontology) are documented in French and English. This deposit is a copy of the linked open data repository available online at https://rdf.ag/o/beer, it is updated with each new version release.
description: This is an rdfs/owl compliant ontology that is licensed under a Creative Commons Attribution 3.0 Unported License. An additional commercial license is also available, hence the dual license in the source documents.
description: {"references": ["Dennis E. Briggs. Malts and Malting. Blackie Academic & Professional, 1998", "John J. Palmer. How to Brew: Everything You Need to Know to Brew Great Beer Every Time. Brewers Publications, 4th edition, 2017", "Garrett Oliver. The Oxford Companion to Beer. Oxford University Press, 2012", "Elisabeth Wiesen, Martina Gastl, and Thomas Becker. Protein changes during malting and brewing with focus on haze and foam formation: A review. European Food Research and Technology, 232:191\u2013204, 02 2011", "John Mallett. Malt: A Practical Guide from Field to Brewhouse. Brewers Publications, 2014", "Food and Agriculture Organization of the United Nations. Barley, Malt, Beer: Agribusiness Handbook. 2009", "Brewers Association. National beer sales & production data, 2019"]}
DOI: 10.5281/zenodo.4672802
title: Cerealstoo Ontology

description: The scope of this RDFS/OWL ontology is providing beer and beer ingredient traceability, process control and style identification in a language neutral way. Term labels and descriptions (and overall ontology) are documented in French and English. This deposit is a copy of the linked open data repository available online at https://rdf.ag/o/cerealstoo, it is updated with each new version release.
description: This is an rdfs/owl compliant ontology that is licensed under a Creative Commons Attribution 3.0 Unported License. An additional commercial license is also available, hence the dual license in the source documents.
description: {"references": ["AMS USDA. Plant variety protection, 2020", "Jim Berg. North american wheat varieties released since 1990", "Christopher S. Campbell. Poaceae. Encyclopaedia Britannica, 2016", "Canadian Grain Commission. Canada western amber durum (cwad), 2018", "Canadian Grain Commission. New eastern wheat class offers more flexibility for producers and industry, November 2018", "Canadian Grain Commission. New eastern wheat class offers more flexibility for producers and industry, November 2018", "Canadian Grain Commission. Canadian what classes, 2019", "Cereals Canada. Canadian Wheat Crop in Review. 2017", "Government of Canada. Plants with novel traits, 2020", "Marie HRU\u0160KOV\u00c1; Ivan \u0160VEC. Wheat hardness in relation to other quality factors. Czech J. Food Sci., 27(4):240\u2013248, 2009", "International Code of Nomeclature for Cultivated Plants. International Society for Horticultural Science, eighth edition, 2009", "Dave Matthews and Ken Kephart. How to create germplasm records for graingenes", "NPGS USDA, ARS. Manual of Procedures for the National Plant Germplasm System. USDA, ARS, NPGS, June 2012", "United States Department of Agriculture. Subpart m \u2013 united states standards for wheat, 2014", "D. Wang; F. E. Dowell; R. E. Lacey. Single wheat kernel color classification by using near-infrared reflectance spectra. Cereal Chemistry, 76(1):30\u201333, 1999"]}
DOI: 10.25318/3310033401-eng
title: Intellectual property ownership inside and outside of Canada, by business characteristics

description: Percentage of different types of intellectual property owned by enterprises inside and outside of Canada. Intellectual property is a distinct form of creative endeavor such as an invention, literary and artistic work, image or design that may be protected by formal legislation or the common law (e.g., a patent, trademark, copyright, industrial design, integrated circuit topography, plant breeders' rights, geographical indications) or that has provided commercial value (e.g., know-how, trade secrets).
DOI: 10.25318/3310033401-fra
title: Propriété de la propriété intellectuelle au Canada et à l'extérieur du Canada, selon les caractéristiques de l'entreprise

description: Pourcentage des différents types de propriété intellectuelle que les entreprises possèdent au Canada et à l'extérieur du Canada. La propriété intellectuelle est une forme distincte d'initiative de création, comme une invention, une œuvre littéraire ou artistique, une image ou un dessin pouvant être protégée par les lois officielles ou le droit commun (p. ex. brevet, marque de commerce, droit d'auteur, dessin industriel, topographie de circuits intégrés, protection des obtentions végétales, indications géographiques) ou recevant une valeur commerciale (p. ex. savoir-faire, secrets industriels).
DOI: 10.6092/unibo/amsacta/6641
title: REMODEL. WP6. Sensory Systems And Mechatronic Tools. T6_2. Evaluation of a deformable skin tactile sensor. v0

description: The dataset contains the data related to three different types of data acquisitions, on which we trained and tested an artificial neural network (ANN). The procedure for the training and testing of the ANN is realized for each combination of inflated air and vertical force levels, by means of a nested cross-validation (CV). In detail, the CV is composed by two nested loops. The first data acquisition is composed by the output of the Inertial Measurement Unit (IMU) while the robotic manipulator UR5 is pressing on its surface with a metal stick end-effector on a grid on 42 different locations (namely: the 42-locations-session); the data acquired during this process from the tactile sensor are labeled based on the Cartesian position of the robot, therefore associating the signals with 42 different classes. The second data acquisition is related to the IMU data when the robot is pressing on the tactile sensor by means of a linear-like end-effector, applying the orientations of 0o, 30o, 60o, 90o, 120o and 150o (namely: the 6-orientations-session); in this case, the signals are labeled according to 6 classes, that corresponds to the six orientations of the linear region of contact points. Finally, the third data acquisition is built in the same way of the second, but considering the orientations of the linear region of contact points related to 0o, 45o, 90o and 135o (namely: the 4-orientations-session), corresponding to the labeling of the signals according to 4 classes. For each type of data acquisition, we repeated the experiment two times, and, for each of this repetition, we acquired the data for 3 levels of vertical force applied on the tactile sensor – 0.5 N, 1 N and 2 N (using the information from the force sensor at the base of the tactile sensor) – and 3 levels of inflating air – 5 ml, 7 ml and 10 ml (measured by using a syringe). In this way, we obtained a total amount of 54 datasets (27 datasets for the first session, and 27 datasets for the second session.) The data is related to the publication: Y. Iwamoto, R. Meattini, D. Chiaravalli, G. Palli, K. Shibuya and C. Melchiorri, "A Low Cost Tactile Sensor for Large Surfaces Based on Deformable Skin with Embedded IMU," 2020 IEEE Conference on Industrial Cyberphysical Systems (ICPS), Tampere, Finland, 2020, pp. 501-506, doi: 10.1109/ICPS48405.2020.9274737.
DOI: 10.6092/unibo/amsacta/6642
title: REMODEL. WP3. User And System Interface. T3_3. Teaching By Demonstration Of Skills For New Assembly References And Tasks. Evaluation of physical human-robot interaction modalities. v0

description: The datasets contain the data related to the experiment was carried out involving four subjects – named U1, U2, U3, U4 – in a series of physical and muscle strength training tasks, related to the publication: R. Meattini, D. Chiaravalli, G. Palli and C. Melchiorri, "sEMG-Based Human-in-theLoop Control of Elbow Assistive Robots for Physical Tasks and Muscle Strength Training," in IEEE Robotics and Automation Letters, vol. 5, no. 4, pp. 5795-5802, Oct. 2020. (DOI: 10.1109/LRA.2020.3010741)
DOI: 10.5519/qd.txatphu3
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (13266 records)
DOI: 10.25318/3310033501-eng
title: Importance of intellectual property to business activities

description: During a three-year observation period, the percentage of enterprises for which specific business activities related to intellectual property were: very important, important, somewhat important, or not at all important. Business activities include: research and development (R&D), innovation, product (goods or services) development, secure funds from external investment sources, export of goods or services, import of goods or services, marketing and promotion, brand protection, maintaining competitiveness, and entering new markets.
DOI: 10.5281/zenodo.4672946
title: hybrid_a_aracne

description: dorothea_A inter aracne interactome
DOI: 10.6084/m9.figshare.13050512
title: DataFreeze.v5

description: Data-freeze for PDX-pan-cancer manuscript (2021)
DOI: 10.6084/m9.figshare.13050512.v5
title: DataFreeze.v5

description: Data-freeze for PDX-pan-cancer manuscript (2021)
DOI: 10.6084/m9.figshare.13050512.v4
title: DataFreeze.v5

description: Data-freeze for PDX-pan-cancer manuscript (2021)
DOI: 10.25318/3310033501-fra
title: Importance de la propriété intellectuelle pour les activités commerciales

description: Pendant une période d'observation de trois ans, le pourcentage d'entreprises pour lesquelles certaines activités commerciales étaient très importantes, importantes, assez importantes ou pas du tout importantes. Les activités commerciales peuvent comprendre les suivantes : la recherche et développement, innovation, le développement de produits (biens ou services), l'obtention de fonds provenant de sources d'investissement externes, l'exportation de biens ou de services, l'importation de biens ou de services, le marketing et la promotion, la protection de l'image de marque, le maintien de la compétitivité et pénétrer de nouveaux marchés.
DOI: 10.5281/zenodo.4672989
title: hybrid_abc_aracne

description: dorothea_ABC inter aracne interactome
DOI: 10.5281/zenodo.4672988
title: hybrid_abc_aracne

description: dorothea_ABC inter aracne interactome
DOI: 10.5281/zenodo.4672999
title: hybrid_all_aracne

description: dorothea_all inter aracne interactome
DOI: 10.5281/zenodo.4672998
title: hybrid_all_aracne

description: dorothea_all inter aracne interactome
DOI: 10.15468/dp388c
title: A Taxonomic Revision Of The Spider Genus Meriola Banks (Araneae: Trachelidae)

description: This dataset contains the digitized treatments in Plazi based on the original journal article González, María E., Grismado, Cristian J., Ramírez, Martín J. (2021): A Taxonomic Revision Of The Spider Genus Meriola Banks (Araneae: Trachelidae). Zootaxa 4936 (1): 1-113, DOI: https://doi.org/10.11646/zootaxa.4936.1.1
DOI: 10.6084/m9.figshare.14390408.v1
title: DataFreeze.v5

description: Data-freeze for PDX-pan-cancer manuscript (2021)<br><br>Title: Comprehensive characterization of 536 patient-derived xenograft models prioritizes candidates for targeted treatment<br>
DOI: 10.6084/m9.figshare.14388233.v1
title: Geolocation data of Magellanic penguins from Martillo Island, Tierra del Fuego, Argentina.

description: Geolocators raw data set of 9 individuals of Magellanic penguins recorded during winter migration period.
DOI: 10.6084/m9.figshare.14388233
title: Geolocation data of Magellanic penguins from Martillo Island, Tierra del Fuego, Argentina.

description: Geolocators raw data set from 9 adult's Magellanic penguins recorded during 2017's winter migration period. Each sheet contain the data of one individual.
DOI: 10.6084/m9.figshare.14388233.v3
title: Geolocation data of Magellanic penguins from Martillo Island, Tierra del Fuego, Argentina.

description: Geolocators raw data set from 9 adult's Magellanic penguins recorded during 2017's winter migration period. Each sheet contain the data of one individual.
DOI: 10.6084/m9.figshare.14388233.v2
title: Geolocation data of Magellanic penguins from Martillo Island, Tierra del Fuego, Argentina.

description: Geolocators raw data set from 9 adult's Magellanic penguins recorded during 2017's winter migration period. Each sheet contain the data of one individual.
DOI: 10.25318/3310033601-eng
title: Contribution of intellectual property to business performance

description: During a three-year observation period, the percentage of enterprises for which intellectual property contributed to performance. Contributions of intellectual property include: increased employment, increased revenues, increased business value, expanded markets, facilitated access to financing, provided new opportunities for collaboration with other businesses, strengthened long-term business prospects, positioned the business for acquisition, and other contributions.
DOI: 10.25318/3310033601-fra
title: Contribution de la propriété intellectuelle au rendement des entreprises

description: Pendant une période d'observation de trois ans, le pourcentage d'entreprises pour lesquelles la propriété intellectuelle a contribué au rendement. La contribution de la propriété intellectuelle peut comprendre ce qui suit : l'augmentation de l'emploi, l'augmentation des revenus, l'augmentation de la valeur commerciale, l'élargissement des marchés, un meilleur accès au financement, de nouvelles possibilités de collaboration avec d'autres entreprises, le renforcement des perspectives commerciales à long terme, mettre l'entreprise en position favorable pour faire des acquisitions et autres contributions.
DOI: 10.5281/zenodo.4651554
title: On the Use of Context for Predicting Citation Worthiness of Sentences in Scholarly Articles

description: The ACL-cite dataset was created for the paper: “On the Use of Context for Predicting Citation Worthiness of Sentences in Scholarly Articles” published in NAACL 2021. This dataset contains over 2.7 million sentences extracted from scholarly articles (from ACL Anthology [Bird et al.]) and their corresponding citation worthiness labels. The goal of the citation worthiness task is to determine whether a given sentence requires a citation.<br> <br> There are three CSV files in the dataset: train.csv: 1,625,268 rows dev.csv: 539,085 rows test.csv: 542,081 rows Each CSV file contains the following columns: document_id: identifier of the paper the sentence was extracted from section: name of the section the sentence was extracted from, (e.g. Abstract, Introduction, etc.) section_id: sequential identifier of the section in the paper paragraph_id: sequential identifier of the paragraph the sentence was extracted from sentence: the sentence with the citations removed raw_sentence: the raw sentence including the citations sentence_id: sequential identifier of the sentence in the paper label: citation worthiness label Note: The train/dev/test splits are done at the document_id level.
DOI: 10.5281/zenodo.4651553
title: On the Use of Context for Predicting Citation Worthiness of Sentences in Scholarly Articles

description: The ACL-cite dataset was created for the paper: “On the Use of Context for Predicting Citation Worthiness of Sentences in Scholarly Articles” published in NAACL 2021. This dataset contains over 2.7 million sentences extracted from scholarly articles (from ACL Anthology [Bird et al.]) and their corresponding citation worthiness labels. The goal of the citation worthiness task is to determine whether a given sentence requires a citation.<br> <br> There are three CSV files in the dataset: train.csv: 1,625,268 rows dev.csv: 539,085 rows test.csv: 542,081 rows Each CSV file contains the following columns: document_id: identifier of the paper the sentence was extracted from section: name of the section the sentence was extracted from, (e.g. Abstract, Introduction, etc.) section_id: sequential identifier of the section in the paper paragraph_id: sequential identifier of the paragraph the sentence was extracted from sentence: the sentence with the citations removed raw_sentence: the raw sentence including the citations sentence_id: sequential identifier of the sentence in the paper label: citation worthiness label Note: The train/dev/test splits are done at the document_id level.
DOI: 10.5517/ccdc.csd.cc26bcdb
title: CCDC 2035751: Experimental Crystal Structure Determination

description: Related Article: Marius D. R. Lutz, Valentina C. M. Gasser, Bill Morandi|2021|Cell Press: Chem|7|1108|doi:10.1016/j.chempr.2021.02.029
DOI: 10.5517/ccdc.csd.cc26h4nj
title: CCDC 2040347: Experimental Crystal Structure Determination

description: Related Article: Kleopas Palate, Ryan G Epton, Adrian Whitwood, Jason Martin Lynam, William Unsworth|2020|CSD Communication|||
description: Related Article: Kleopas Y. Palate, Ryan G. Epton, Adrian C. Whitwood, Jason M. Lynam, William P. Unsworth|2021|Org.Biomol.Chem.|19|1404|doi:10.1039/D0OB02502J
DOI: 10.5517/ccdc.csd.cc26n0fb
title: CCDC 2045021: Experimental Crystal Structure Determination

description: Related Article: Palmerina González-Izquierdo, Oscar Fabelo, Laura Cañadillas-Delgado, Garikoitz Beobide, Oriol Vallcorba, Jorge Salgado-Beceiro, Manuel Sánchez-Andújar, Carmen Martin, Javier Ruiz-Fuentes, José Eduardo García, María Teresa Fernández-Díaz, Imanol de Pedro|2021|J.Mater.Chem.C|9|4453|doi:10.1039/D0TC05800A
DOI: 10.5281/zenodo.4660669
title: DAPS (Device and Produced Speech) Dataset

description: The DAPS (Device and Produced Speech) dataset is a collection of aligned versions of professionally produced studio speech recordings and recordings of the same speech on common consumer devices (tablet and smartphone) in real-world environments. It has 15 versions of audio (3 professional versions and 12 consumer device/real-world environment combinations). Each version consists of about 4 1/2 hours of data (about 14 minutes from each of 20 speakers). Please see this paper for a detailed description of the dataset: Gautham J. Mysore, “Can We Automatically Transform Speech Recorded on Common Consumer Devices in Real-World Environments into Professional Production Quality Speech? - A Dataset, Insights, and Challenges”, in the IEEE Signal Processing Letters, Vol. 22, No. 8, August 2015 The primary goal of the dataset is to help develop methods to automatically convert real-world device recordings into professional sounding recordings. It can be also used for various other applications like voice conversion, traditional speech enhancement, and automatic production of studio recordings.
DOI: 10.25318/1310081701-eng
title: Socioeconomic characteristics of the lesbian, gay and bisexual population, 2015-2018

description: This table presents a socio-demographic and socio-economic statistical profile of the population aged 15 and older by sexual orientation, geographic region, sex and age group. The characteristics included are: marital status, presence of children under 12 in the household, education, employment, household income, Indigenous identity, belonging to a population group designated as a visible minority, language(s) spoken at home, and place of residence (urban/rural). These estimates are obtained from Canadian Community Health Survey, 2015 to 2018 pooled data.
DOI: 10.15131/shef.data.7477244.v2
title: Data for ‘No comment’? A study of commenting on PLOS articles

description: This data set consists of all comments (and associated metadata) left on PLOS articles since the launch of the very first PLOS journal (PLOS Biology) in 2003. The data set provded by PLOS included article ID, comment ID, the title of the comment, the comment itself, and the date and time the comment was created. PLOS required that the ‘display name’ (the username created by the individual making the comment) associated with comments be anonymised, and each comment author’s ‘display name’ was therefore converted by them to a unique numeric ID. These data were supplemented in a number of ways. In some cases, additional data (e.g. article title and publication date) were collected using a web scraping tool, while in others, information could be extracted or inferred from the original PLOS data (e.g. publishing journal, and whether the comment was original or a reply to an existing comment). Full details of the data set and how it was derived can be found in the accompanying "Guide to data".
DOI: 10.25318/3610064801-eng
title: Non Profit Satellite Account by sub-sector (Total and Businesses), seasonally adjusted at annual rates

description: This table contains quarterly data for the non-profits sector from 2009q1 to the current quarter (available approximately 90 days after the reference period) and is presented by sub-sector. The variables include gross output, gross domestic product (both nominal and real) along with income, outlays and savings. Available sub-sector detail includes: community non-profits, business non-profits and government non-profits.
DOI: 10.6084/m9.figshare.7789133.v3
title: August 2015 18S data

description: Mapping file and raw data associated with February 2015 18S MiSeq sequencing run. OTU table corresponding to samples used for Paulson and Martin 2019 manuscript. Environmental samples collected from Ash Meadows National Wildlife Refuge, Nevada.
DOI: 10.25318/3610064801-fra
title: Compte satellite des institutions sans but lucratif selon le sous-secteur (total et entreprises), désaisonnalisés au taux annuel

description: Ce tableau présente des données trimestrielles pour le secteur des institutions sans but lucratif pour la période allant du premier trimestre de 2009 au trimestre actuel (les données sont disponibles environ 90 jours après la période de référence) et sont ventilées par sous-secteur. Les variables incluent la production brute, le produit intérieur brut (nominal et réel) ainsi que le revenu, les dépenses et l’épargne. Les détails sur les sous-secteurs qui sont offerts incluent : les organismes communautaires sans but lucratif, les entreprises sans but lucratif et les entreprises publiques sans but lucratif.
DOI: 10.25318/3610064901-eng
title: Non Profit Satellite Account by activity, seasonally adjusted at annual rates (x 1,000,000)

description: This table contains quarterly data for the non-profits sector from 2009q1 to the current quarter (available approximately 90 days after the reference period) and is presented by main activity. The variables include: gross domestic product (nominal and real) and number of jobs.
DOI: 10.25318/3610064901-fra
title: Compte satellite des institutions sans but lucratif selon l’activité, désaisonnalisés au taux annuel (x 1 000 0

description: Ce tableau présente des données trimestrielles pour le secteur des institutions sans but lucratif pour la période allant du premier trimestre de 2009 au trimestre actuel (les données sont disponibles environ 90 jours après la période de référence) et sont ventilées par activité principale. Les variables incluent : le produit intérieur brut (nominal et réel) et le nombre d’emplois.
DOI: 10.5281/zenodo.4673221
title: hybrid_a_aracne

description: dorothea_A inter aracne interactome
DOI: 10.5281/zenodo.4672945
title: hybrid_a_aracne

description: dorothea_A inter aracne interactome