cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc24z88p
title: CCDC 1995292: Experimental Crystal Structure Determination

description: Related Article: Pia Rönfeldt, Helge Reinsch, Mirjam Patricia Margarete Poschmann, Huayna Terraschke, Norbert Stock|2020|Cryst.Growth Des.|20|4686|doi:10.1021/acs.cgd.0c00478
DOI: 10.25403/upresearchdata.12702374
title: Capital structure, distribution strategies and joint determinants

description: Data on different alternative measures of the capital structure (debt-to-equity ratio, debt-to-asset ratio and the leverage factor), distribution policies and the joint determinants. The data is sourced from the IRESS.
DOI: 10.25403/upresearchdata.12702374.v1
title: Capital structure, distribution strategies and joint determinants

description: Data on different alternative measures of the capital structure (debt-to-equity ratio, debt-to-asset ratio and the leverage factor), distribution policies and the joint determinants. The data is sourced from the IRESS.
DOI: 10.21227/8w3z-ch78
title: MiniFrance

description: The DatasetWe introduce a novel large-scale dataset for semi-supervised semantic segmentation in Earth Observation, the MiniFrance suite. MiniFrance has several unprecedented properties: it is large-scale, containing over 2000 very high resolution aerial images, accounting for more than 200 billions samples (pixels); it is varied, covering 16 conurbations in France, with variousclimates, different landscapes, and urban as well as countryside scenes; and it is challenging, considering land use classes with high-level semantics. Nevertheless, the most distinctive quality of MiniFrance is being the only dataset in the field especially designed for semi-supervised learning: it contains labeled and unlabeled images in its training partition, which reproduces a life-like scenario.
DOI: 10.5281/zenodo.3957883
title: Supplementary Online Material to the paper: Modelling and empirical validation of carbon stock accumulation during the forest transition in France 1850-2015

description: <strong>Supplementary Online Material to the paper:</strong> <strong>Modelling and empirical validation of carbon stock accumulation during the forest transition in France 1850-2015</strong>
DOI: 10.5281/zenodo.3957882
title: Supplementary Online Material to the paper: Modelling and empirical validation of carbon stock accumulation during the forest transition in France 1850-2015

description: <strong>Supplementary Online Material to the paper:</strong> <strong>Modelling and empirical validation of carbon stock accumulation during the forest transition in France 1850-2015</strong>
DOI: 10.21227/8mzc-4k45
title: MiniFrance

description: The DatasetWe introduce a novel large-scale dataset for semi-supervised semantic segmentation in Earth Observation, the MiniFrance suite. MiniFrance has several unprecedented properties: it is large-scale, containing over 2000 very high resolution aerial images, accounting for more than 200 billions samples (pixels); it is varied, covering 16 conurbations in France, with variousclimates, different landscapes, and urban as well as countryside scenes; and it is challenging, considering land use classes with high-level semantics. Nevertheless, the most distinctive quality of MiniFrance is being the only dataset in the field especially designed for semi-supervised learning: it contains labeled and unlabeled images in its training partition, which reproduces a life-like scenario.
DOI: 10.34848/fk2/clnlmg/lys8z9
title: 1_bd_columns_rep.xlsx
DOI: 10.21227/wq7q-bx17
title: Large Reduction of Switching Current Density in Phase Change Memory Using Bi2Te3 Thermoelectric Interfacial Layer

description: This document shows time-domain thermoreflectance (TDTR) measurements on blanket phase change multilayers [Fig. S1] and electro-thermal simulations of confined PCM cells [Fig. S2]. The extracted thermal resistance per unit area obtained from our measured TDTR signal ratio vs. time delay in Fig. S1 reveals that Bi2Te3 layer only introduces ~13% additional thermal resistance in the PCM stack. On the other hand, Fig. S2 shows the electro-thermal simulation of confined cellswith 4 nm Bi2Te3 and 50 nm GST layer with a BE (TiN) diameter of 150 nm in Fig. S2(a) and control device with only 50 nm GST layer in Fig. S2(b). Simulations suggest that confined cell devices have ~20% lower Jreset compared to mushroom cell devices shown in the main text Fig. 4.
DOI: 10.21227/21vg-h915
title: Large Reduction of Switching Current Density in Phase Change Memory Using Bi2Te3 Thermoelectric Interfacial Layer

description: This document shows time-domain thermoreflectance (TDTR) measurements on blanket phase change multilayers [Fig. S1] and electro-thermal simulations of confined PCM cells [Fig. S2]. The extracted thermal resistance per unit area obtained from our measured TDTR signal ratio vs. time delay in Fig. S1 reveals that Bi2Te3 layer only introduces ~13% additional thermal resistance in the PCM stack. On the other hand, Fig. S2 shows the electro-thermal simulation of confined cellswith 4 nm Bi2Te3 and 50 nm GST layer with a BE (TiN) diameter of 150 nm in Fig. S2(a) and control device with only 50 nm GST layer in Fig. S2(b). Simulations suggest that confined cell devices have ~20% lower Jreset compared to mushroom cell devices shown in the main text Fig. 4.
DOI: 10.5281/zenodo.3958878
title: Electron density profiles from Autoscala and ISR for hmF2 assessment

description: These data allow to compare hmF2 provided by the latest version of Autoscala (version 2018), and hmF2 produced by ARTIST with the correspondent obtained by ISR. This comparison is performed on a set of data recorded at Millstone Hill from April 1997 to December 2017.<br> The data and programs consider also other issues such as the results provided by the old version of Autoscala (version 2007), and the problem of comparing electronic density profiles. However, these analysis are not finalized. Only the comparison of hmF2 provided by the latest version of Autoscala, and hmF2 produced by ARTIST with the correspondent obtained through ISR is finalized.<br>
DOI: 10.5281/zenodo.3958877
title: Electron density profiles from Autoscala and ISR for hmF2 assessment

description: These data allow to compare hmF2 provided by the latest version of Autoscala (version 2018), and hmF2 produced by ARTIST with the correspondent obtained by ISR. This comparison is performed on a set of data recorded at Millstone Hill from April 1997 to December 2017.<br> The data and programs consider also other issues such as the results provided by the old version of Autoscala (version 2007), and the problem of comparing electronic density profiles. However, these analysis are not finalized. Only the comparison of hmF2 provided by the latest version of Autoscala, and hmF2 produced by ARTIST with the correspondent obtained through ISR is finalized.<br>
DOI: 10.34740/kaggle/dsv/1366526
title: COVID-19 Indonesia Dataset
DOI: 10.15468/p97wbt
title: Arizona State University Hasbrouck Insect Collection

description: The ASU Frank F. Hasbrouck Insect Collection contains approximately 850,000 insect specimens, representing at least 25 orders, 390 families, 4,000 genera, 12,000 species and 1,240 subspecies. Most specimens are from the southwestern United States; however considerable representative material is also available from other North American regions and Mexico. The collection was largely developed through the activities of past faculty - Drs. Frank Hasbrouck, Gordon Castle and Mont Cazier - and their students. An extensive reprint collection is available to visiting researchers. For further information and to arrange a visit or loan, please contact Curator Dr. Nico Franz (nico.franz[at]asu.edu) or Collection Manager Dr. Sangmi Lee (slee281[at]asu.edu).
DOI: 10.15468/n85mgf
title: M. Andrew Johnston Research Collection

description: Live data management node for the research collection of M. Andrew Johnston. Currently housed at (but not integrated within) Arizona State University Biodiversity Knowledge Integration Center (BioKIC). This collection contains primarily specimens of darkling beetles (family Tenebrionidae Latrielle, 1802), with an emphasis on taxa from the southwestern deserts of North America.
DOI: 10.15161/oar.it/30578
title: CovidStat project data

description: This record contains the daily updated data of the CovidStat project. CovidStat is a project carried out by the CovidStat Working Group at INFN, whose creation was promoted within the Italian National Institute of Nuclear Physics with the aim of making a statistical analysis of the data provided daily by the Civil Protection on the spread of the pandemic in Italy. CovidStat data can interactively be browsed at https://covid19.infn.it.
description: The software to process this Root TTree is in the related identifier. Be sure to use the right corresponding version, based on the data in which Root TTree was generated.
DOI: 10.15468/tuf3wx
title: Arizona State University Charles W. O'Brien Collection

description: The Charles W. O'Brien Collection (legacy coden: CWOB) is now (August, 2018) relocated to Tempe, Arizona, and contains approximately one million weevil specimens (Coleoptera: Curculionoidea sensu Bouchard et al. 2011), with a global range and emphasis on New World (and Neotropical) regions. Lois B. O'Brien - a planthopper specialist - has made invaluable contributions to this collection. In 2017, Arizona State University entered an agreement with the O'Briens to gradually transfer and permanently house and curate this world-class collection. As the collection is reactivated at the new location, specimens are digitized under this new identity. Hence the virtual SCAN collection "ASUCOB" (new coden) was created, with the purpose of making the O'Brien weevil specimens now residing at Arizona State University accessible on-line while maintaining their collector/expert provenance.
DOI: 10.5281/zenodo.3958955
title: Brazil STAR Project Surveys

description: To evaluate the determinants of household cooking fuel choice in Amazon riverside communities, a cross-sectional study was conducted in 14 riverside communities (593 households) located on the Rio Negro, Amazonas, Brazil. These GPS coordinates of the communities can be found in the surveys. The study was conducted over 9 weeks between April and June 2017. Two surveys were deployed in each of the 14 communities. One survey targeted individual households, whilst the second focused on the community as a whole. The households survey included open- and close-ended questions based on the World Bank guidelines for questionnaire design for household energy use from living standards measurement studies. One purpose of the household survey was to obtain data about their socio-demographic data such as income, education, house occupancy, house ownership, kitchen types, their choice of cooking fuels, their energy usage data, as well as their energy needs and aspirations.
description: The code for the published analysis and the methodology is also available.
DOI: 10.5519/qd.tjv0y76i
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (4571224 records)
DOI: 10.21227/nv9g-1155
title: MiniFrance

description: The DatasetWe introduce a novel large-scale dataset for semi-supervised semantic segmentation in Earth Observation, the MiniFrance suite. MiniFrance has several unprecedented properties: it is large-scale, containing over 2000 very high resolution aerial images, accounting for more than 200 billions samples (pixels); it is varied, covering 16 conurbations in France, with variousclimates, different landscapes, and urban as well as countryside scenes; and it is challenging, considering land use classes with high-level semantics. Nevertheless, the most distinctive quality of MiniFrance is being the only dataset in the field especially designed for semi-supervised learning: it contains labeled and unlabeled images in its training partition, which reproduces a life-like scenario.
DOI: 10.5517/ccdc.csd.cc2316gv
title: CCDC 1937576: Experimental Crystal Structure Determination

description: Related Article: Singireddi Srinivasarao, Adinarayana Nandikolla, Amaroju Suresh, Augustynowicz-Kopec Ewa, Agnieszka Głogowska, Balaram Ghosh, Banoth Karan Kumar, Sankaranarayanan Murugesan, Sravani Pulya, Himanshu Aggarwal, Kondapalli Venkata Gowri Chandra Sekhar|2020|Bioorg.Chem.|100|103955|doi:10.1016/j.bioorg.2020.103955
DOI: 10.5517/ccdc.csd.cc1qb6cm
title: CCDC 1588730: Experimental Crystal Structure Determination

description: Related Article: Meijun Zhu, Ying Han, Changzhou Liu, Weiqing Ma, Chao-Guo Yan|2019|Chin.Chem.Lett.|31|1554|doi:10.1016/j.cclet.2019.12.028
DOI: 10.5517/ccdc.csd.cc1qb6dn
title: CCDC 1588731: Experimental Crystal Structure Determination

description: Related Article: Meijun Zhu, Ying Han, Changzhou Liu, Weiqing Ma, Chao-Guo Yan|2019|Chin.Chem.Lett.|31|1554|doi:10.1016/j.cclet.2019.12.028
DOI: 10.5517/ccdc.csd.cc1qb6fp
title: CCDC 1588732: Experimental Crystal Structure Determination

description: Related Article: Meijun Zhu, Ying Han, Changzhou Liu, Weiqing Ma, Chao-Guo Yan|2019|Chin.Chem.Lett.|31|1554|doi:10.1016/j.cclet.2019.12.028
DOI: 10.5517/ccdc.csd.cc23p3kh
title: CCDC 1956706: Experimental Crystal Structure Determination

description: Related Article: Lilia Croitor, Mihaela F. Petric, Gabriela Vlase, Titus Vlase, Anatolii V. Siminel, Paulina N. Bourosh, Manuela E. Crisan|2020|J.Thermal Analysis and Calorimetry|141|973|doi:10.1007/s10973-020-09633-8
DOI: 10.5517/ccdc.csd.cc23p3sq
title: CCDC 1956713: Experimental Crystal Structure Determination

description: Related Article: Manuela E. Crisan, Gabriela Vlase, Titus Vlase, Lilia Croitor, Gheorghe Ilia, Paulina N. Bourosh, Victor Ch. Kravtsov, Mihaela F. Petric|2020|J.Thermal Analysis and Calorimetry|141|1009|doi:10.1007/s10973-020-09628-5
DOI: 10.5517/ccdc.csd.cc23p3tr
title: CCDC 1956714: Experimental Crystal Structure Determination

description: Related Article: Manuela E. Crisan, Gabriela Vlase, Titus Vlase, Lilia Croitor, Gheorghe Ilia, Paulina N. Bourosh, Victor Ch. Kravtsov, Mihaela F. Petric|2020|J.Thermal Analysis and Calorimetry|141|1009|doi:10.1007/s10973-020-09628-5
DOI: 10.5517/ccdc.csd.cc23p3vs
title: CCDC 1956715: Experimental Crystal Structure Determination

description: Related Article: Manuela E. Crisan, Gabriela Vlase, Titus Vlase, Lilia Croitor, Gheorghe Ilia, Paulina N. Bourosh, Victor Ch. Kravtsov, Mihaela F. Petric|2020|J.Thermal Analysis and Calorimetry|141|1009|doi:10.1007/s10973-020-09628-5
DOI: 10.5517/ccdc.csd.cc23qsvh
title: CCDC 1958327: Experimental Crystal Structure Determination

description: Related Article: Cátia I.C. Esteves, Inês da Silva Fonseca, João Rocha, ArturM.S. Silva, Samuel Guieu|2020|Dyes Pigm.|177|108267|doi:10.1016/j.dyepig.2020.108267
DOI: 10.5517/ccdc.csd.cc23qswj
title: CCDC 1958328: Experimental Crystal Structure Determination

description: Related Article: Cátia I.C. Esteves, Inês da Silva Fonseca, João Rocha, ArturM.S. Silva, Samuel Guieu|2020|Dyes Pigm.|177|108267|doi:10.1016/j.dyepig.2020.108267
DOI: 10.5517/ccdc.csd.cc21n3hb
title: CCDC 1896161: Experimental Crystal Structure Determination

description: Related Article: Martin Berger, Christian Knittl-Frank, Sophie Bauer, Georg Winter, Nuno Maulide|2020|Cell Press: Chem|6|1183|doi:10.1016/j.chempr.2020.04.007
DOI: 10.5517/ccdc.csd.cc23wpxm
title: CCDC 1963041: Experimental Crystal Structure Determination

description: Related Article: Sheng Tao, Qingqing Bu, Qianqian Shi, Donghui Wei, Bin Dai, Ning Liu|2020|Chem.-Eur.J.|26|3252|doi:10.1002/chem.201905828
DOI: 10.5517/ccdc.csd.cc23wqg6
title: CCDC 1963058: Experimental Crystal Structure Determination

description: Related Article: Sheng Tao, Qingqing Bu, Qianqian Shi, Donghui Wei, Bin Dai, Ning Liu|2020|Chem.-Eur.J.|26|3252|doi:10.1002/chem.201905828
DOI: 10.5517/ccdc.csd.cc23wr5y
title: CCDC 1963080: Experimental Crystal Structure Determination

description: Related Article: Sheng Tao, Qingqing Bu, Qianqian Shi, Donghui Wei, Bin Dai, Ning Liu|2020|Chem.-Eur.J.|26|3252|doi:10.1002/chem.201905828
DOI: 10.5517/ccdc.csd.cc246gd7
title: CCDC 1972418: Experimental Crystal Structure Determination

description: Related Article: Meijun Zhu, Ying Han, Changzhou Liu, Weiqing Ma, Chao-Guo Yan|2019|Chin.Chem.Lett.|31|1554|doi:10.1016/j.cclet.2019.12.028
DOI: 10.5517/ccdc.csd.cc2504kx
title: CCDC 1996138: Experimental Crystal Structure Determination

description: Related Article: Tetsuya Tsujihara, Hazuki Yamauchi, Satoru Tamura, Tsunayoshi Takehara, Takeyuki Suzuki, Tomikazu Kawano|2020|Tetrahedron Lett.|61|152122|doi:10.1016/j.tetlet.2020.152122
DOI: 10.5281/zenodo.3957830
title: Raw data for the research article "The relevance of pyrogenic carbon for carbon budgets from fires: insights from the FIREX experiment"

description: These are the raw data for the paper entitled "The relevance of pyrogenic carbon for carbon budgets from fires: insights from the FIREX experiment" that is currently under revision in Global Biochemical Cycles.
DOI: 10.5281/zenodo.3957829
title: Raw data for the research article "The relevance of pyrogenic carbon for carbon budgets from fires: insights from the FIREX experiment"

description: These are the raw data for the paper entitled "The relevance of pyrogenic carbon for carbon budgets from fires: insights from the FIREX experiment" that is currently under revision in Global Biochemical Cycles.
DOI: 10.21227/hrqy-3m70
title: Large Reduction of Switching Current Density in Phase Change Memory Using Bi2Te3 Thermoelectric Interfacial Layer

description: This document shows time-domain thermoreflectance (TDTR) measurements on blanket phase change multilayers [Fig. S1] and electro-thermal simulations of confined PCM cells [Fig. S2]. The extracted thermal resistance per unit area obtained from our measured TDTR signal ratio vs. time delay in Fig. S1 reveals that Bi2Te3 layer only introduces ~13% additional thermal resistance in the PCM stack. On the other hand, Fig. S2 shows the electro-thermal simulation of confined cellswith 4 nm Bi2Te3 and 50 nm GST layer with a BE (TiN) diameter of 150 nm in Fig. S2(a) and control device with only 50 nm GST layer in Fig. S2(b). Simulations suggest that confined cell devices have ~20% lower Jreset compared to mushroom cell devices shown in the main text Fig. 4.
DOI: 10.25592/dgs.corpus-3.0-type-14499
title: DOKUMENT1^ (MEINE DGS – annotiert. Öffentliches Korpus der Deutschen Gebärdensprache, 3. Release)
title: DOCUMENT1^ (MY DGS – annotated. Public Corpus of German Sign Language, 3rd release)

description: Ein Type aus der Annotation von MEINEDGS mit allen seinen Tokens aus MEINEDGS: The Public DGS Corpus consists of more than 50 hours of video data from the DGS-Korpus project made available together with annotations for research purposes. In this project, data were collected all across Germany in the timeframe 2010-2012. The public corpus shows 330 informants in 4 different age groups (from 18 years on) from 13 different regions. All parts are conversations between two informants in German Sign Language (DGS). The majority of transcripts included cover discussions and reports on Deaf life and personal experiences, although there are examples of other tasks such as story retellings as well.<br>Transcripts are made available in iLex and ELAN format as well as in SRT subtitles format that can be imported in MaxQDA and other analysis tools, together with the mp4 video files in 360p50. Diese DOI identifiziert die Version 3.0 des Datensatzes.
description: A type from the annotation of MYDGS including all its tokens in MYDGS: Das Öffentliche DGS-Korpus besteht aus mehr als 50 Stunden Video aus dem Projekt DGS-Korpus , die zusammen mit Annotationen für Forschungszwecke zur Verfügung gestellt werden. Die Datenerhebung im Projekt fand im Zeitraum 2010-2012 in ganz Deutschland statt. Das öffentliche Korpus besteht aus Gesprächen jeweils zweier Informantinnen oder Informanten in Deutscher Gebärdensprache. Das Korpus umfasst 330 Informantinnen und Informanten in vier verschiedenen Altersgruppen (ab 18 Jahren) aus 13 verschiedenen Regionen. Der Schwerpunkt der Sammlung liegt auf Transkripten von Diskussionen und Berichten über das Leben Gehörloser sowie persönliche Erfahrungen, sie enthält aber auch Beispiele anderer Erhebungsformate wie Nacherzählungen.<br>Transkripte werden im iLex- und ELAN-Format sowie als SRT-Untertiteldateien (zum Import etwa in MaxQDA) zur Verfügung gestellt. Die zugehörigen MP4-Videodaten sind durchgängig im Format 360p50. This DOI identifies the version 3.0 of the dataset.
DOI: 10.25592/dgs.corpus-3.0-type-14501
title: JETZT2^ (MEINE DGS – annotiert. Öffentliches Korpus der Deutschen Gebärdensprache, 3. Release)
title: NOW2^ (MY DGS – annotated. Public Corpus of German Sign Language, 3rd release)

description: Ein Type aus der Annotation von MEINEDGS mit allen seinen Tokens aus MEINEDGS: The Public DGS Corpus consists of more than 50 hours of video data from the DGS-Korpus project made available together with annotations for research purposes. In this project, data were collected all across Germany in the timeframe 2010-2012. The public corpus shows 330 informants in 4 different age groups (from 18 years on) from 13 different regions. All parts are conversations between two informants in German Sign Language (DGS). The majority of transcripts included cover discussions and reports on Deaf life and personal experiences, although there are examples of other tasks such as story retellings as well.<br>Transcripts are made available in iLex and ELAN format as well as in SRT subtitles format that can be imported in MaxQDA and other analysis tools, together with the mp4 video files in 360p50. Diese DOI identifiziert die Version 3.0 des Datensatzes.
description: A type from the annotation of MYDGS including all its tokens in MYDGS: Das Öffentliche DGS-Korpus besteht aus mehr als 50 Stunden Video aus dem Projekt DGS-Korpus , die zusammen mit Annotationen für Forschungszwecke zur Verfügung gestellt werden. Die Datenerhebung im Projekt fand im Zeitraum 2010-2012 in ganz Deutschland statt. Das öffentliche Korpus besteht aus Gesprächen jeweils zweier Informantinnen oder Informanten in Deutscher Gebärdensprache. Das Korpus umfasst 330 Informantinnen und Informanten in vier verschiedenen Altersgruppen (ab 18 Jahren) aus 13 verschiedenen Regionen. Der Schwerpunkt der Sammlung liegt auf Transkripten von Diskussionen und Berichten über das Leben Gehörloser sowie persönliche Erfahrungen, sie enthält aber auch Beispiele anderer Erhebungsformate wie Nacherzählungen.<br>Transkripte werden im iLex- und ELAN-Format sowie als SRT-Untertiteldateien (zum Import etwa in MaxQDA) zur Verfügung gestellt. Die zugehörigen MP4-Videodaten sind durchgängig im Format 360p50. This DOI identifies the version 3.0 of the dataset.