cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc253v6c
title: CSD 1999692: Experimental Crystal Structure Determination

description: Related Article: Thomas Wylezich, Renaud Valois, Markus Suta, Alexander Mutschke, Clemens Ritter, Andries Meijerink, Antti J. Karttunen, Nathalie Kunkel|2020|Chem.-Eur.J.|26|11742|doi:10.1002/chem.202002273
description: An entry from the Inorganic Crystal Structure Database, the world’s repository for inorganic crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the joint CCDC and FIZ Karlsruhe Access Structures service and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc25n4nn
title: CCDC 2015361: Experimental Crystal Structure Determination

description: Related Article: Jessica F. Bruhn, Anchi Cheng, Brandon Q. Mercado, Kyle W. Lucier, Megan L. Mayer, Nicole J. Chiang, Travis Nieusma, Sargis Dallakyan, Thejusvi Ganesh, Sean Thomson, Giovanna Scapin|2020|CSD Communication|||
description: Related Article: Jessica F. Bruhn, Giovanna Scapin, Anchi Cheng, Brandon Q. Mercado, David G. Waterman, Thejusvi Ganesh, Sargis Dallakyan, Brandon N. Read, Travis Nieusma, Kyle W. Lucier, Megan L. Mayer, Nicole J. Chiang, Nicole Poweleit, Philip T. McGilvray, Timothy S. Wilson, Michael Mashore, Camille Hennessy, Sean Thomson, Bo Wang, Clinton S. Potter, Bridget Carragher|2021|Frontiers in Molecular Biology - Structural Biology|8|648603|doi:10.3389/fmolb.2021.648603
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc24pvd3
title: CCDC 1987205: Experimental Crystal Structure Determination

description: Related Article: M. Gilski, P. Bernatowicz, A. Sakowicz, M.P. Szymański, A. Zalewska, A. Szumna, M. Jaskólski|2020|Acta Crystallogr.,Sect.B:Struct.Sci.,Cryst.Eng. and Mat.|76|815|doi:10.1107/S2052520620009944
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc25z7zd
title: CCDC 2025074: Experimental Crystal Structure Determination

description: Related Article: Liang Tong, Yan-Ning Wang, Xiao-Su Lu, Qiang-Qiang Jia, Lin-Hai Li, Jun-Yi Li, Li-Zhuang Chen|2022|Chem.Mater.|34|4479|doi:10.1021/acs.chemmater.2c00214
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.34681/wjjw-e175
title: National Child Abuse and Neglect Data System (NCANDS) Agency File FFY 2010

description: The National Child Abuse and Neglect Data System, State Level Data (NCANDS State), FFY- 2010 dataset consists of State-specific data of all investigated reports of maltreatment to State child protective service agencies. The NCANDS is a federally-sponsored national data collection effort created for the purpose of tracking the volume and nature of child maltreatment reporting each year within the United States. These data are collected within the federal fiscal year (FFY October 1, 2009 - September 30, 2010) rather than the calendar year.State Level records are reported for 51 cases (49 states, Washington DC, and Puerto Rico) through the Agency File, and records for one case (Oregon) were contributed through Summary Data Component (SDC) forms. Data on funding of services, number of children screened out, number of Child Protective Services staff, preservation services, reunification, and child fatalities are included. Version Notice:The Combined Aggregate File (CAF) of past years is not archived for FFY2009 or FFY2010. In its place are Agency and SDC files. These are the source files used in conjunction with the NCANDS Child File to derive past CAF variables.
DOI: 10.6073/pasta/461a9ead0f508256c1e78a5c4e8f669a
title: Jornada Basin LTER: Wireless meteorological station at NPP C-SAND site: 5-minute summary wind and air temperature data: 2013 - ongoing

description: 5-minute summary data at NPP C-SAND met station. Average air temperature, wind speed and wind direction are measured and calculated based on 1-second scan rate of all sensors located at an automated meteorological station installed at Jornada LTER NPP C-SAND site. Wind speed is measured at 75 cm, 150 cm, and 300 cm, wind direction at approximately 3m, and air temperature at approximate 2.5m. This climate station is operated by the Jornada LTER Program. This is an ONGOING dataset.
DOI: 10.6073/pasta/a21ab472a7255c49da1a731eb96680e3
title: Jornada Basin LTER: Wireless meteorological station at NPP C-SAND site: Daily summary data: 2013 - ongoing

description: Daily summary data at NPP C-SAND met station. Average/maximum/minimum air temperature; average/maximum relative humidity and wind speed and average wind direction; solar radiation; albedo. These are measured and calculated based on 1-second scan rate of all sensors located at an automated meteorological station installed at Jornada LTER NPP C-SAND site. Wind speed is measured at 75 cm, 150 cm, and 300 cm, wind direction at approximately 3m, and air temperature and relative humidity at approximate 2.5m. Solar radiation is measured at 3m. This climate station is operated by the Jornada LTER Program. This is an ONGOING dataset.
DOI: 10.6084/m9.figshare.12482516
title: Dataset for estimation of muscle dysmorphia in individuals from Colombia

description: Dataset for estimation of muscle dysmorphia in individuals from Colombia
DOI: 10.6073/pasta/29754aeaf5627d97e1fcd2751a879f66
title: Wisconsin Lake Historical Limnological Parameters 1925 - 2009

description: This dataset is a compilation of ten sources of data representing physical and chemical properties of 13,093 Wisconsin lakes. The goal was to compile a comprehensive resource of historical and more recent lake information which would be accessible by querying a single database. Due to the wide temporal extent (1925-2009), methods used for measuring lake parameters in this dataset have varied. A careful look at the available metadata and background information is recommended. Sampling Frequency: varies Number of sites: 13,093
DOI: 10.6073/pasta/2303bbdf28b94170f859b203f54c5a4c
title: Jornada Basin LTER: Wireless meteorological station at NPP G-BASN site: 5-minute summary wind and air temperature data: 2013 - ongoing

description: 5-minute summary data at NPP G-BASN met station. Average air temperature, wind speed and wind direction are measured and calculated based on 1-second scan rate of all sensors located at an automated meteorological station installed at Jornada LTER NPP G-BASN site. Wind speed is measured at 75 cm, 150 cm, and 300 cm, wind direction at approximately 3m, and air temperature at approximate 2.5m. This climate station is operated by the Jornada LTER Program. This is an ONGOING dataset.
DOI: 10.5281/zenodo.6604177
title: Geotechnical properties of drumlinized landforms in Denmark

description: Data from my Master thesis in Geoscience
DOI: 10.5281/zenodo.6604176
title: Geotechnical properties of drumlinized landforms in Denmark

description: Data from my Master thesis in Geoscience
DOI: 10.6073/pasta/7f856c911c4cd51bb85fda4daeae324d
title: Jornada Basin LTER: Wireless meteorological station at NPP G-BASN site: 1-hour summary data: 2013 - ongoing

description: Hourly summary data at NPP G-BASN met station. Average/maximum/minimum air temperature; average relative humidity and wind direction; average/maximum wind speed. These are measured and calculated based on 1-second scan rate of all sensors located at an automated meteorological station installed at Jornada LTER NPP G-BASN site. Wind speed is measured at 75 cm, 150 cm, and 300 cm, wind direction at approximately 3m, and air temperature and relative humidity at approximate 2.5m. This climate station is operated by the Jornada LTER Program. This is an ONGOING dataset.
DOI: 10.6073/pasta/4607de84a7238258b1e1ddfef2f468d5
title: Jornada Basin LTER: Wireless meteorological station at NPP G-BASN site: 30-minute summary data: 2013 - ongoing

description: 30-minute summary data at NPP G-BASN met station. Average air temperature, relative humidity, wind speed and wind direction are measured and calculated based on 1-second scan rate of all sensors located at an automated meteorological station installed at Jornada LTER NPP G-BASN site. Wind speed is measured at 75 cm, 150 cm, and 300 cm, wind direction at approximately 3m, and air temperature and relative humidity at approximate 2.5m. This climate station is operated by the Jornada LTER Program. This is an ONGOING dataset.
DOI: 10.5519/qd.72yd6vc9
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (36 records)
DOI: 10.6073/pasta/0339674e3c73605516bcf5459431f702
title: Interagency Ecological Program: Discrete water quality monitoring in the Sacramento-San Joaquin Bay-Delta, collected by the Environmental Monitoring Program, 1975-2020.

description: The Interagency Ecological Program’s (IEP) Environmental Monitoring Program (EMP) was initiated in compliance with the Water Right Decision D-1379 (now mandated by Water Right Decision D-1641) and has monitored discrete water quality and nutrients in the upper San Francisco Estuary since 1975. The objectives of the EMP are to obtain consistent and accurate monthly data at established monitoring stations, provide and document information necessary to achieve compliance with salinity, flow, and dissolved oxygen standards, and to report this information for the purpose of management and conservation of the upper San Francisco Estuary. While the EMP also collects biological data, this dataset only includes the discrete water quality and nutrient data collected by the EMP from 1975-2020.
DOI: 10.5066/p9vpay41
title: WATRMod, a Water-budget accounting for tropical regions model--source code, executable file, and example files

description: This data release contains the source code, executable file, and example files for WATRMod, a Water-budget Accounting for Tropical Regions Model code that is documented in U.S. Geological Survey Open-File Report 2022-1013 available at https://doi.org/10.3133/ofr20221013. The source code is written in the Fortran computer language. The model source code was compiled using Intel(R) Visual Fortran Intel(R) 64 for Windows, version 11.0.061, Copyright(C) 1985-2008. WATRMod can be executed (run) in a Command window by typing the command WATRMod1 (preceded by the appropriate path to the file WATRMod1.exe if the file WATRMod1.exe does not reside in the folder from which the command is issued) at the prompt; the file WATRMOD.FIL must exist [...]
DOI: 10.6073/pasta/ca61998e4821af67f356e1fab78fb22b
title: Jornada Basin LTER: Wireless meteorological station at NPP G-IBPE site: 5-minute summary wind and air temperature data: 2013 - ongoing

description: 5-minute summary data at NPP G-IBPE met station. Average air temperature, wind speed and wind direction are measured and calculated based on 1-second scan rate of all sensors located at an automated meteorological station installed at Jornada LTER NPP G-IBPE site. Wind speed is measured at 75 cm, 150 cm, and 300 cm, wind direction at approximately 3m, and air temperature at approximate 2.5m. This climate station is operated by the Jornada LTER Program. This is an ONGOING dataset.
DOI: 10.6084/m9.figshare.19952720
title: SanMiguel_grainsize and video capture data

description: Grainsize data for tephra fall deposits from the 2013 eruption of San Miguel Volcano, El Salvador;
DOI: 10.34681/e7tt-1d23
title: Second National Juvenile Online Victimization Study (NJOV-2)

description: The Second National Juvenile Online Victimization Study (NJOV-2) was conducted in 2007-2008 and designed to update and expand upon the First National Juvenile Online Victimization Study (NJOV-1) conducted in 2001-2002. Researchers collected information from a national sample of more than 2,500 law enforcement agencies about Internet sex crimes against minors during 2006, providing detailed information about the types of Internet sex crimes, as well as numbers of arrests, characteristics of offenders and victims, dynamics of the crimes, and criminal justice system responses. Data, which are weighted to provide national estimates, were collected via mail surveys followed by telephone interviews with investigators about specific cases reported in the mail surveys.
DOI: 10.6073/pasta/9cbc8e2b38ee598f740cae4fc13ecf8e
title: Jornada Basin LTER: Wireless meteorological station at NPP G-IBPE site: 15-minute summary data: 2016 - ongoing

description: 15-minute summary data at NPP G-IBPE met station. Average/maximum/minimum air temperature; average relative humidity and wind direction; average/maximum wind speed; atmospheric pressure; PAR; solar radiation. These are measured and calculated based on 1-second scan rate of all sensors located at an automated meteorological station installed at Jornada LTER NPP G-IBPE site. Wind speed is measured at 75 cm, 150 cm, and 300 cm, wind direction at approximately 3m, and air temperature and relative humidity at approximate 2.5m. This climate station is operated by the Jornada LTER Program. This is an ONGOING dataset.
DOI: 10.57771/rnyr-fa06
title: ABSITA dataset
title: ABSITA

description: The ABSITA dataset contains 4,121 reviews written in Italian and collected from the website booking.com. Reviews are annotated according to seven aspects: pulizia (cleanliness), comfort, servizi (amenities), staff, qualita-prezzo (value), wifi (wireless Internet connection) and posizione (location). For each aspect, the polarity (positive, negative) of its mention has been annotated. The positive and negative polarities are annotated independently, thus for each aspect four sentiment classes are possible: positive (positive=1, negative=0), negative (positive=0, negative=1), neutral (positive=0, negative=0), mixed (positive=1, negative=1).<p>The dataset has been created and used in the context of the ABSITA task (http://sag.art.uniroma2.it/absita/),  organised as part of EVALITA 2018 (http://www.evalita.it/2018).
DOI: 10.57771/cfj7-zb27
title: AcCompl-it Dataset
title: AcCompl-it

description: The AcCompl-It dataset comprehends the Complexity and the Acceptability Datasets. The first data set is composed of  2,530 Italian sentences annotated with human judgments of perceived complexity on a 7–point Likert scale; the second one consists of 1,683 Italian sentences annotated with human judgments of acceptability on a 7–point Likert scale.<p>The datasets were created and used in the context of AcCompl-It (https://sites.google.com/view/accompl-it/), a shared task for Italian proposed for the 2020 EVALITA campaign (http://www.evalita.it/2020). For the purpose of the task, both datasets were split into training and validation samples with a proportion of 80% to 20%, respectively.<p>
DOI: 10.57771/wjs3-v251
title: AMI 2018 Dataset
title: AMI 2018

description: The AMI 2018 dataset collects 5,000 tweets written in Italian and 5,000 in English annotated for misogynistic content. Each instance is further annotated with information about the type of misogynistic behaviour (stereotype, objectification, dominance, derailing, sexual harassment, threats of violence, discredit) and target category (individual or generic target).<p> The dataset has been used in the AMI shared task  (https://amievalita2018.wordpress.com) during the Evalita 2018 evaluation campaign (http://www.evalita.it/2018). The task challenged participants to build systems that automatically identify misogynous content in Twitter.<p>In order to comply with GDPR privacy rules and Twitter’s policies, the identifiers of tweets and users have been anonymized and replaced by unique identifiers.  <p>
DOI: 10.57771/nztz-xh03
title: AMI 2020 Dataset
title: AMI 2020

description: The AMI 2020 dataset collects 6,000 tweets written in Italian, plus 3922 template-generated sentences, annotated for misogyny and aggressiveness.<p>The dataset has been used in the AMI shared task (https://amievalita2020.github.io/) during the Evalita 2020 evaluation campaign (http://www.evalita.it/2020). The task challenged participants to build systems that automatically identify misogynous content in Twitter in Italian language.<p>In order to comply with GDPR privacy rules and Twitter’s policies, the identifiers of tweets and users have been anonymized and replaced by unique identifiers.<p>
DOI: 10.57771/hk5e-df59
title: Anaphora Resolution Dataset
title: Anaphora Resolution

description: The Anaphora Resolution Dataset collects sentences from the Wikipedia subset of the LiveMemories Anaphora Resolution Corpus (LM-WIKI, Rodrguez et al. 2010), annotated with mentions of entities according to the guidelines for the ARRAU corpus and the VENEX corpus. The dataset follows the format of the SemEval-2010 Task 1 on the Multilingual Coreference Resolution, with one token per line and an empty line after each sentence. Additional information, extracted with the TextPro toolkit and the MALT parser, is provided in tab-separated columns.<p>The dataset has been used in the context of the EVALITA 2011 Anaphora Resolution Task (http://www.evalita.it/2011/tasks/anaphora), organised as part of the EVALITA 2011 evaluation campaign (http://www.evalita.it/2011). <p>
DOI: 10.57771/5mac-xa12
title: ArtiPhon Dataset
title: ArtiPhon

description: The ArtiPhon dataset contains 666 recorded utterances selected from the Italian MSPKA corpus (http://www.mspkacorpus.it/) (Canevari et al., 2015), which was collected in 2015 at the Istituto Italiano di Tecnologia (IIT). The dataset was used as training set  in the context of the ArtiPhon task (http://www.smile.unina.it/artiphon/), organised as part of the EVALITA 2016 evaluation campaign (​​http://www.evalita.it/2016).<p>The task challenged participants to build a speaker-dependent phone recognition system evaluated on mismatched speaking rates.<p>The training dataset contains simultaneous recordings of audio and vocal tract (i.e., articulatory) movements recorded with an electromagnetic articulograph (EMA).<p>
DOI: 10.57771/yfn2-zd34
title: ATE_ABSITA dataset
title: ATE_ABSITA

description: The ATE_ABSITA dataset comprehends 4364 real user reviews, written in the Italian language, involving 23 products and collected from a famous eCommerce platform. Each sentence has been annotated by three subjects for its polarity, for the score assigned by the author, and for the presence of aspect terms. The dataset has been randomly divided into training, development and test sets. The data format used is NDJSON 1 with UTF-8 encoding and newline as delimiter. <p>The dataset has been produced and used in the context of the ATE_ABSITA task (http://www.di.uniba.it/~swap/ate_absita/index.html) during the Evalita 2020 evaluation campaign (http://www.evalita.it/2020).
DOI: 10.57771/hteh-6456
title: Bilingual (Spanish-English) Speech synthesis HTS models
title: Modèles HTS bilingues pour la synthèse vocale (espagnol-anglais)

description: This database contains Bilingual (English and Spanish) Festival HTS models. Models were trained with 9h of speech from 2 female bilingual speakers and 2 male bilingual speakers. Each speaker recorded 2h 15 min per language.  The speech data can be found in the TC-STAR Bilingual Voice-Conversion Spanish Speech Database (ELRA-S0311) and in the TC-STAR Bilingual Expressive Spanish Speech Database (ELRA-S0313).
description: Cette base de données comprend les modèles HTS Festival bilingues (anglais et espagnol). Les modèles ont été entraînés à partir de 9 heures de parole réalisés par 2 locuteurs bilingues femmes et 2 locuteurs bilingues hommes. Chaque locuteur a enregistré 2h 15 min par langue. La base de données de parole peut être trouvée dans la base de données orale de conversion vocale bilingue TC-STAR pour l’espagnol (ELRA-S0311) et dans la base de données de parole expressive bilingue TC-STAR (ELRA-S0313).
DOI: 10.57771/b0cm-jr40
title: CEPLEXicon
title: CEPLEXicon

description: CEPLEXicon is a lexicon based on two different corpora of child speech – Santos corpus (Santos, 2006, Santos et al., 2014, see http://www.clul.ul.pt/resources/546?lang=en) and Freitas corpus (Freitas, 1997, Freitas et al. 2012). This lexicon results from the automatic tagging of the two corpora, using a tagger and the POS tag set produced in the research unit ANAGRAMA (Centro de Linguística da Universidade de Lisboa - CLUL) (Généreux, Hendrickx & Mendes, 2012). The automatic tagging was followed by a partial manual revision (as described in the manual).<p><p>This lexicon covers all the speech produced by seven monolingual Portuguese children aged 1;02.00 to 3;11.12, in a total of 114 files, each corresponding to 40-50 minutes of child-adult interaction in a naturalistic setting. The lexicon is presented in .xls format and includes 2201 lemmas, the number of occurrences of each lemma in three different age periods (<2 years of age; &#8805; 2 and < 3 years of age; &#8805; 3 years of age), frequency of the lemma in each period and age of first occurrence for each child.<p><p>CEPLEXicon was developed at ANAGRAMA (CLUL, Faculdade de Letras da Universidade de Lisboa), under the project Complement Clauses in the Acquisition of Portuguese (PTDC/CLE-LIN/120897/2010), funded by Fundação para a Ciência e Tecnologia.
description: CEPLEXicon est un lexique basé sur deux corpus différents de parole d’enfants – le corpus Santos (Santos, 2006, Santos et al., 2014, voir http://www.clul.ul.pt/resources/546?lang=en) et le corpus Freitas (Freitas, 1997, Freitas et al. 2012). Ce lexique résulte d’un étiquetage automatique des deux corpus, au moyen d’un étiqueteur et d’un ensemble d’étiquettes POS produits par l’unité de recherche ANAGRAMA (Centro de Linguística da Universidade de Lisboa - CLUL) (Généreux, Hendrickx & Mendes, 2012). L’étiquetage automatique a été suivi par une révision manuelle partielle (et décrite dans le manuel accompagnant le lexique).

Ce lexique couvre toute la parole produite par sept enfants portugais monolingues, âgés de 1 an et 2 mois à 3 ans, 11 mois et 12 jours, pour un total de 114 fichiers, chaque fichier correspondant à 40-50 minutes d’interaction enfant-adulte dans un contexte naturel. Le lexique est présenté au format .xls et comprend 2201 lemmes, les nombre d’occurrences de chaque lemme en trois périodes d’âges différentes (<2 ans; &#8805; 2 et < 3 ans; &#8805; 3 ans), la fréquence du lemme pour chaque période d’âge et l’âge de la première occurrence pour chaque enfant.

CEPLEXicon a été développé à ANAGRAMA (CLUL, Faculdade de Letras da Universidade de Lisboa), dans le cadre du projet “Complement Clauses in the Acquisition of Portuguese” (PTDC/CLE-LIN/120897/2010), financé par la Fundação para a Ciência e Tecnologia.