cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc24z3t2
title: CCDC 1995154: Experimental Crystal Structure Determination

description: Related Article: Eleonora Afanasenko, Inna Seifullina, Svitlana Shishkina, Elena Martsinko, Elena Chebanenko, Viktoriya Dyakonenko|2020|Polyhedron|187|114625|doi:10.1016/j.poly.2020.114625
DOI: 10.5517/ccdc.csd.cc24mr7s
title: CCDC 1985185: Experimental Crystal Structure Determination

description: Related Article: Eleonora Afanasenko, Inna Seifullina, Svitlana Shishkina, Elena Martsinko, Elena Chebanenko, Viktoriya Dyakonenko|2020|Polyhedron|187|114625|doi:10.1016/j.poly.2020.114625
DOI: 10.5517/ccdc.csd.cc24mr8t
title: CCDC 1985186: Experimental Crystal Structure Determination

description: Related Article: Eleonora Afanasenko, Inna Seifullina, Svitlana Shishkina, Elena Martsinko, Elena Chebanenko, Viktoriya Dyakonenko|2020|Polyhedron|187|114625|doi:10.1016/j.poly.2020.114625
DOI: 10.5517/ccdc.csd.cc24mr9v
title: CCDC 1985187: Experimental Crystal Structure Determination

description: Related Article: Eleonora Afanasenko, Inna Seifullina, Svitlana Shishkina, Elena Martsinko, Elena Chebanenko, Viktoriya Dyakonenko|2020|Polyhedron|187|114625|doi:10.1016/j.poly.2020.114625
DOI: 10.5517/ccdc.csd.cc24z3s1
title: CCDC 1995153: Experimental Crystal Structure Determination

description: Related Article: Eleonora Afanasenko, Inna Seifullina, Svitlana Shishkina, Elena Martsinko, Elena Chebanenko, Viktoriya Dyakonenko|2020|Polyhedron|187|114625|doi:10.1016/j.poly.2020.114625
DOI: 10.5517/ccdc.csd.cc23xdjz
title: CCDC 1963711: Experimental Crystal Structure Determination

description: Related Article: Hui Zhu, Yue-Hua Li, Qing-Qing Xiao, Guang-Hua Cui|2020|Polyhedron|187|114648|doi:10.1016/j.poly.2020.114648
DOI: 10.17632/dkx728tns4.4
title: Data for: Engineering geology of residual soil derived from mudstone in Zimbabwe

description: The soil properties and supplementary materials are provided.
DOI: 10.14469/hpc/7324
title: Conditioned haptic perception for 3D localization of nodules in soft tissue palpation with a variable stiffness probe

description: Data for the paper: Nicolas Herzig, Liang he, Perla Maiolino, Sara-Adela Abad, Thrishantha Nanayakkara, “Conditioned haptic perception for 3D localization of nodules in soft tissue palpation with a variable stiffness probe”, PONE-D-20-03370R2, 2020.
DOI: 10.15161/oar.it/30604
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: 10.17632/3r4765cc3z.1
title: Check your Trust in parameters

description: Verify your trust
DOI: 10.21335/nmdc-625749953
title: Hydrography at 69.746° N, 18.683° E (Kaldfjorden, Troms, Norway), Oct 2017 - May 2018

description: The dataset consists of processed CTD data collected at 69.746° N, 18.683° E (station KaF) in Kaldfjorden, Troms, between October 2017 and May 2018. CTD profiles were taken from small boat using a handheld SAIV a/s CTD sensor (SD208) with integrated sensors for dissolved oxygen (SAIV205), Fluorescence (Seapoint) and turbitidy (Seapoint), lowered by hand, and pulled up by winch or by hand, or from a research vessel using a Seabird Electronics SBE911plus CTD package. Information on which sensor was used is included in the dataset. Calibration of the conductivity sensors was done against salinity samples collected throughout the sampling period, as well as by sensor intercalibration. The SBE temperature and conductivity sensors were factory calibrated annually. Raw temperature and salinity profiles were processed using Matlab to control for and remove outliers, calibrate salinity, and convert in situ temperature to potential temperature. The dissolved oxygen sensor of the SAIV CTD was "calibrated" before each campaign according to the SAIV manual, but no calibration against water samples was done. Fluorescence and turbidity data are also provided uncalibrated. All variables were binned to regular 2 dbar depth bins. Other dataset from the same project: : https://doi.org/10.21335/NMDC-1539462099
DOI: 10.5285/463b2fcd6a264a39b1e3249dab16c177
title: HadISDH marine: gridded global monthly ocean surface humidity data version 1.0.0.2018f

description: This is the 1.0.0.2018f version of the HadISDH (Integrated Surface Database Humidity) marine data and the first version to be produced. These data are provided by the Met Office Hadley Centre. This version spans 1/1/1973 to 31/12/2018. The data are monthly gridded (5 degree by 5 degree) fields. Products are available for temperature and six humidity variables: specific humidity (q), relative humidity (RH), dew point temperature (Td), wet bulb temperature (Tw), vapour pressure (e), dew point depression (DPD). Data are provided in NetCDF format. To keep informed about updates, news and announcements follow the HadOBS team on twitter @metofficeHadOBS. For more detailed information e.g bug fixes, routine updates and other exploratory analysis, see the HadISDH blog: http://hadisdh.blogspot.co.uk/ References: When using the dataset in a paper please cite the following papers (see Docs for link to the publications) and this dataset (using the "citable as" reference): Willett, K. M., Dunn, R. J. H., Kennedy, J. J. and Berry, D. I.: Development of the HadISDH marine humidity climate monitoring dataset. Earth System Sciences Data, in review, doi:XX.XXXX/essd-XX-XXXX-2020, 2020. Freeman, E., Woodruff, S. D., Worley, S. J., Lubker, S. J., Kent, E. C., Angel, W. E., Berry, D. I., Brohan, P., Eastman, R., Gates, L., Gloeden, W., Ji, Z., Lawrimore, J., Rayner, N. A., Rosenhagen, G. and Smith, S. R., ICOADS Release 3.0: A major update to the historical marine climate record. International Journal of Climatology. doi:10.1002/joc.4775.
DOI: 10.17632/dkx728tns4.5
title: Data for: Engineering geology of residual soil derived from mudstone in Zimbabwe

description: The soil properties and supplementary materials are provided.
DOI: 10.5285/ffeb0c718baf49ad845f30677944610a
title: HadISDH marine: gridded global monthly ocean surface humidity data version 1.0.0.2019f

description: This is the 1.0.0.2019f version of the HadISDH (Integrated Surface Database Humidity) marine data. These data are provided by the Met Office Hadley Centre. This version spans 1/1/1973 to 31/12/2019. The data are monthly gridded (5 degree by 5 degree) fields. Products are available for temperature and six humidity variables: specific humidity (q), relative humidity (RH), dew point temperature (Td), wet bulb temperature (Tw), vapour pressure (e), dew point depression (DPD). Data are provided in either NetCDF or ASCII format. This version extends the 1.0.0.2018f version to the end of 2019 and constitutes with no changes other than the addition of 2019 data. Users are advised to read the update document in the Docs section for full details. To keep informed about updates, news and announcements follow the HadOBS team on twitter @metofficeHadOBS. For more detailed information e.g bug fixes, routine updates and other exploratory analysis, see the HadISDH blog: http://hadisdh.blogspot.co.uk/ References: When using the dataset in a paper please cite the following papers (see Docs for link to the publications) and this dataset (using the "citable as" reference): Willett, K. M., Dunn, R. J. H., Kennedy, J. J. and Berry, D. I.: Development of the HadISDH marine humidity climate monitoring dataset. Earth System Sciences Data, in review, doi:XX.XXXX/essd-XX-XXXX-2020, 2020. Freeman, E., Woodruff, S. D., Worley, S. J., Lubker, S. J., Kent, E. C., Angel, W. E., Berry, D. I., Brohan, P., Eastman, R., Gates, L., Gloeden, W., Ji, Z., Lawrimore, J., Rayner, N. A., Rosenhagen, G. and Smith, S. R., ICOADS Release 3.0: A major update to the historical marine climate record. International Journal of Climatology. doi:10.1002/joc.4775.
DOI: 10.5285/d38d5949dfb1438185894321095583f4
title: HadISDH blend: gridded global monthly ocean surface humidity data version 1.0.0.2019f

description: This is the 1.0.0.2019f version of the HadISDH (Integrated Surface Database Humidity) blend data. It combines HadISDH.land.4.2.0.2019f and HadISDH.marine.1.0.0.2019f. These data are provided by the Met Office Hadley Centre. This version spans 1/1/1973 to 31/12/2019. The data are monthly gridded (5 degree by 5 degree) fields. Products are available for temperature and six humidity variables: specific humidity (q), relative humidity (RH), dew point temperature (Td), wet bulb temperature (Tw), vapour pressure (e), dew point depression (DPD). Data are provided in NetCDF format. This version is the first available. To keep informed about updates, news and announcements follow the HadOBS team on twitter @metofficeHadOBS. For more detailed information e.g bug fixes, routine updates and other exploratory analysis, see the HadISDH blog: http://hadisdh.blogspot.co.uk/ References: When using the dataset in a paper please cite the following papers (see Docs for link to the publications) and this dataset (using the "citable as" reference): Willett, K. M., Dunn, R. J. H., Kennedy, J. J. and Berry, D. I.: Development of the HadISDH marine humidity climate monitoring dataset. Earth System Sciences Data, in review, doi:XX.XXXX/essd-XX-XXXX-2020, 2020. Willett, K. M., Dunn, R. J. H., Thorne, P. W., Bell, S., de Podesta, M., Parker, D. E., Jones, P. D., and Williams Jr., C. N.: HadISDH land surface multi-variable humidity and temperature record for climate monitoring, Clim. Past, 10, 1983-2006, doi:10.5194/cp-10-1983-2014, 2014. Freeman, E., Woodruff, S. D., Worley, S. J., Lubker, S. J., Kent, E. C., Angel, W. E., Berry, D. I., Brohan, P., Eastman, R., Gates, L., Gloeden, W., Ji, Z., Lawrimore, J., Rayner, N. A., Rosenhagen, G. and Smith, S. R., ICOADS Release 3.0: A major update to the historical marine climate record. International Journal of Climatology. doi:10.1002/joc.4775. Dunn, R. J. H., et al. 2016: Expanding HadISD: quality-controlled, sub-daily station data from 1931, Geoscientific Instrumentation, Methods and Data Systems, 5, 473-491. Smith, A., N. Lott, and R. Vose, 2011: The Integrated Surface Database: Recent Developments and Partnerships. Bulletin of the American Meteorological Society, 92, 704–708, doi:10.1175/2011BAMS3015.1
DOI: 10.17632/3jyk634vyp.2
title: Spatial Language, Spatial Memory and Spatial Perspective Taking in Japanese and English

description: Speakers of different languages have essentially the same vision and action systems, yet spatial language exhibits considerable cross-linguistic variation. In six experiments, varying both object location and relative positions of speaker and hearer, we tested spatial demonstrative choice and the influence of demonstratives on object-location memory in speakers of languages with purportedly very different demonstrative systems – Japanese and English. Results reveal that the Japanese demonstrative system is structured in terms of both egocentric (interactional) space and space near a hearer. English speakers show similar but weaker effects of hearer position. We also show that demonstratives at encoding can affect memory for object location, with specific terms triggering processing of object location from the perspective of a conspecific. Overall the results point to a unifying framework across spatial terms and across languages where demonstratives first require choice of spatial reference frame prior to the application of a range of routines to select the appropriate term in a given context.
DOI: 10.25505/fiz.icsd.cc1xz6hl
title: CSD 1786700: Experimental Crystal Structure Determination

description: Related Article: Alexander Kuhn, Roland Eger, Jürgen Nuss, Bettina V. Lotsch|2014|Z.Anorg.Allg.Chem.|640|689|doi:10.1002/zaac.201300575
DOI: 10.25505/fiz.icsd.cc1xz6jm
title: CSD 1786701: Experimental Crystal Structure Determination

description: Related Article: Alexander Kuhn, Roland Eger, Jürgen Nuss, Bettina V. Lotsch|2014|Z.Anorg.Allg.Chem.|640|689|doi:10.1002/zaac.201300575
DOI: 10.25505/fiz.icsd.cc1xz6kn
title: CSD 1786702: Experimental Crystal Structure Determination

description: Related Article: Alexander Kuhn, Roland Eger, Jürgen Nuss, Bettina V. Lotsch|2014|Z.Anorg.Allg.Chem.|640|689|doi:10.1002/zaac.201300575
DOI: 10.25505/fiz.icsd.cc1xz6lp
title: CSD 1786703: Experimental Crystal Structure Determination

description: Related Article: Alexander Kuhn, Roland Eger, Jürgen Nuss, Bettina V. Lotsch|2014|Z.Anorg.Allg.Chem.|640|689|doi:10.1002/zaac.201300575
DOI: 10.17632/dkx728tns4.6
title: Data for: Engineering geology of residual soil derived from mudstone in Zimbabwe

description: The soil properties and supplementary materials are provided.
DOI: 10.5281/zenodo.3970779
title: SK inventory [dataset] stone & related objects. Version 3.0 2020-08-05

description: SK inventory [dataset] stone & related objects. Version 3.0 2020-08-05 [items renumbered for proper sequence] Nine zip files containing individual folders of all photographic records of bronze objects in the SK collection, numbered by record number, with corresponding entries in draft catalogue text
DOI: 10.5281/zenodo.3964585
title: SK inventory [dataset] stone & related objects. Version 3.0 2020-08-05

description: SK inventory [dataset] stone & related objects. Version 3.0 2020-08-05 [items renumbered for proper sequence] Nine zip files containing individual folders of all photographic records of bronze objects in the SK collection, numbered by record number, with corresponding entries in draft catalogue text
DOI: 10.5281/zenodo.3973050
title: References for articles included in text analysis

description: The raw data for the literature review of Construction 4.0 technologies in the context of construction projects.
DOI: 10.12751/g-node.gtd3ab
title: An insula‐driven network computes decision uncertainty and promotes abstinence in chronic cocaine users

description: Subject-specific model-based GLM and DCM estimations.
description: IsSupplementTo: Yu et al. (2020) An insula‐driven network computes decision uncertainty and promotes abstinence in chronic cocaine users. Eur J Neurosci. (https://doi.org/10.1111/ejn.14917)
DOI: 10.21227/28kv-3z20
title: QRNG Machine Learning

description: Dataset used in paper "Machine Learning Cryptanalysis of a Quantum Random Number Generator" published at IEEE TIFShttps://ieeexplore.ieee.org/document/8396276.
DOI: 10.5517/ccdc.csd.cc21535j
title: CCDC 1881736: Experimental Crystal Structure Determination

description: Related Article: Subin Choi, Hyeonji Oh, Jeongwoo Sim, Eunsoo Yu, Seunghoon Shin, Cheol-Min Park|2020|Org.Lett.|22|5528|doi:10.1021/acs.orglett.0c01896
DOI: 10.5517/ccdc.csd.cc21539n
title: CCDC 1881740: Experimental Crystal Structure Determination

description: Related Article: Subin Choi, Hyeonji Oh, Jeongwoo Sim, Eunsoo Yu, Seunghoon Shin, Cheol-Min Park|2020|Org.Lett.|22|5528|doi:10.1021/acs.orglett.0c01896
DOI: 10.5517/ccdc.csd.cc21j8b6
title: CCDC 1892467: Experimental Crystal Structure Determination

description: Related Article: Hiroki Ito, Sho Tanaka, Katsuya Mutoh, Jiro Abe|2020|Org.Lett.|22|5680|doi:10.1021/acs.orglett.0c02072
DOI: 10.5517/ccdc.csd.cc21j8c7
title: CCDC 1892468: Experimental Crystal Structure Determination

description: Related Article: Hiroki Ito, Sho Tanaka, Katsuya Mutoh, Jiro Abe|2020|Org.Lett.|22|5680|doi:10.1021/acs.orglett.0c02072
DOI: 10.5517/ccdc.csd.cc21j8d8
title: CCDC 1892469: Experimental Crystal Structure Determination

description: Related Article: Hiroki Ito, Sho Tanaka, Katsuya Mutoh, Jiro Abe|2020|Org.Lett.|22|5680|doi:10.1021/acs.orglett.0c02072
DOI: 10.5517/ccdc.csd.cc21j8f9
title: CCDC 1892470: Experimental Crystal Structure Determination

description: Related Article: Hiroki Ito, Sho Tanaka, Katsuya Mutoh, Jiro Abe|2020|Org.Lett.|22|5680|doi:10.1021/acs.orglett.0c02072
DOI: 10.5517/ccdc.csd.cc21j8gb
title: CCDC 1892471: Experimental Crystal Structure Determination

description: Related Article: Hiroki Ito, Sho Tanaka, Katsuya Mutoh, Jiro Abe|2020|Org.Lett.|22|5680|doi:10.1021/acs.orglett.0c02072
DOI: 10.7277/368q-t523
title: Building Surveys after Earthquakes

description: This dataset highlights information obtained from surveys conducted during earthquake reconnaissance trips to 4 different countries after major earthquakes. The dataset includes surveys from 2015 Nepal, 2016 Ecuador, 2016 Taiwan, and 2017 South Korea Earthquakes. Dimensions, ground motion parameters, photos and figures have been collected and organized for each building.
DOI: 10.5281/zenodo.3972451
title: Defects in Power Distribution Components

description: A set of 708 images and respective labels of defects on components from a electric distribution system. Each image contains one defect and the respective area is in the file "image-filename.txt". Each label contains the class of the defect, the coordinates <strong>x</strong> and <strong>y</strong> of the center in the image and the values of <strong>width </strong>and <strong>height </strong>of the defect area. The defects currently in the dataset are: 0 - Cable out of spacer; 1 - Cable out of insulator; 2 - Insulator withour ring;
DOI: 10.5281/zenodo.3972450
title: Defects in Power Distribution Components

description: A set of 708 images and respective labels of defects on components from a electric distribution system. Each image contains one defect and the respective area is in the file "image-filename.txt". Each label contains the class of the defect, the coordinates <strong>x</strong> and <strong>y</strong> of the center in the image and the values of <strong>width </strong>and <strong>height </strong>of the defect area. The defects currently in the dataset are: 0 - Cable out of spacer; 1 - Cable out of insulator; 2 - Insulator withour ring;
DOI: 10.5281/zenodo.3973048
title: AmadeusGitHubBugDataset

description: This data set will be released as part of the following publication.<br> "Root cause prediction based on bug reports" by T. Hirsch and B. Hofer [in review]<br> <br> This release consists of a data set of 54755 "bug" labeled issues reports collected from 103 open source projects hosted on GitHub.<br> 10459 of which are considered "benchmark complete", and they contain: issue message, commit messages, java aware diff statistics, change location down to method level, GitHub issue metadata, and commit metadata.<br> Please have a look at the corresponding publication for a detailed description of applied heuristics and filter criteria.<br>
DOI: 10.5281/zenodo.3973047
title: AmadeusGitHubBugDataset

description: This data set will be released as part of the following publication.<br> "Root cause prediction based on bug reports" by T. Hirsch and B. Hofer [in review]<br> <br> This release consists of a data set of 54755 "bug" labeled issues reports collected from 103 open source projects hosted on GitHub.<br> 10459 of which are considered "benchmark complete", and they contain: issue message, commit messages, java aware diff statistics, change location down to method level, GitHub issue metadata, and commit metadata.<br> Please have a look at the corresponding publication for a detailed description of applied heuristics and filter criteria.<br>
DOI: 10.21227/wthd-pm27
title: Brazilian Flights Dataset

description: An integrated dataset containing data on departure and arrival data for Brazilian domestic flights comprising the period from the years 2000 to 2019.Composed of 15,506,069 records of flight data, each containing 51 attributes. The attributes include data regarding the airline, flight, airports, meteorological conditions, and scheduled and real times of departure and arrival.
DOI: 10.21227/k5qf-mj64
title: Brazilian Flights Dataset

description: An integrated dataset containing data on departure and arrival data for Brazilian domestic flights comprising the period from the years 2000 to 2019.Composed of 15,506,069 records of flight data, each containing 51 attributes. The attributes include data regarding the airline, flight, airports, meteorological conditions, and scheduled and real times of departure and arrival.
DOI: 10.5281/zenodo.3973101
title: Domain-specific Language for Data-driven Design Time Analyses and Result Mappings for Logic Programs - Data Set

description: This data set contains additional information to the master thesis of Sebastian Hahner. This includes the prototypical implementation of the domain-specific language (DSL) as well as sample scenarios and mapping results.
DOI: 10.21227/y0y3-f554
title: Brazilian Flights Dataset

description: An integrated dataset containing data on departure and arrival data for Brazilian domestic flights comprising the period from the years 2000 to 2019.Composed of 15,506,069 records of flight data, each containing 51 attributes. The attributes include data regarding the airline, flight, airports, meteorological conditions, and scheduled and real times of departure and arrival.
DOI: 10.21227/t5hw-bn83
title: Brazilian Flights Dataset

description: An integrated dataset containing data on departure and arrival data for Brazilian domestic flights comprising the period from the years 2000 to 2019.Composed of 15,506,069 records of flight data, each containing 51 attributes. The attributes include data regarding the airline, flight, airports, meteorological conditions, and scheduled and real times of departure and arrival.
DOI: 10.21227/52eq-yr87
title: Brazilian Flights Dataset

description: An integrated dataset containing data on departure and arrival data for Brazilian domestic flights comprising the period from the years 2000 to 2019.Composed of 15,506,069 records of flight data, each containing 51 attributes. The attributes include data regarding the airline, flight, airports, meteorological conditions, and scheduled and real times of departure and arrival.
DOI: 10.25345/c55x71
title: MassIVE MSV000085912 - FBXO7 Binds to and Increases the Expression of the p105 Subunit of NF-kB
title: Cell lysate from HAP1 cells were separated on several columns, the proteins were digested with trypsin and analysed on a Q Exactive HF-X instrument.
DOI: 10.5517/ccdc.csd.cc1z2djz
title: CCDC 1819561: Experimental Crystal Structure Determination

description: Related Article: Daniel Fink, Michael Linseis, Rainer F. Winter|2018|Organometallics|37|1817|doi:10.1021/acs.organomet.8b00057
DOI: 10.5517/ccdc.csd.cc23v6mt
title: CCDC 1961606: Experimental Crystal Structure Determination

description: Related Article: Daniel Fink, Nicole Orth, Michael Linseis, Ivana Ivanović-Burmazović, Rainer F. Winter|2020|Chem.Commun.|56|1062|doi:10.1039/C9CC09307A
DOI: 10.5517/ccdc.csd.cc23v6nv
title: CCDC 1961607: Experimental Crystal Structure Determination

description: Related Article: Daniel Fink, Nicole Orth, Michael Linseis, Ivana Ivanović-Burmazović, Rainer F. Winter|2020|Chem.Commun.|56|1062|doi:10.1039/C9CC09307A
DOI: 10.5517/ccdc.csd.cc23vbht
title: CCDC 1961726: Experimental Crystal Structure Determination

description: Related Article: Daniel Fink,  Nicole Orth,  Michael Linseis,  Ivana Ivanovic-Burmazovic,  Rainer Friedrich Winter|2020|Eur.J.Inorg.Chem.|2020|2816|doi:10.1002/ejic.202000387
DOI: 10.5517/ccdc.csd.cc23vbgs
title: CCDC 1961725: Experimental Crystal Structure Determination

description: Related Article: Daniel Fink,  Nicole Orth,  Michael Linseis,  Ivana Ivanovic-Burmazovic,  Rainer Friedrich Winter|2020|Eur.J.Inorg.Chem.|2020|2816|doi:10.1002/ejic.202000387