cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc26j6hg
title: CCDC 2041365: Experimental Crystal Structure Determination

description: Related Article: Jack Payne, Paul McKeown, Oliver Driscoll, Gabriele Kociok-Köhn, Emma A. C. Emanuelsson, Matthew D. Jones|2021|Polym.Chem.|12|1086|doi:10.1039/D0PY01519A
DOI: 10.5517/ccdc.csd.cc26j6jh
title: CCDC 2041366: Experimental Crystal Structure Determination

description: Related Article: Jack Payne, Paul McKeown, Oliver Driscoll, Gabriele Kociok-Köhn, Emma A. C. Emanuelsson, Matthew D. Jones|2021|Polym.Chem.|12|1086|doi:10.1039/D0PY01519A
DOI: 10.5517/ccdc.csd.cc26j6kj
title: CCDC 2041367: Experimental Crystal Structure Determination

description: Related Article: Jack Payne, Paul McKeown, Oliver Driscoll, Gabriele Kociok-Köhn, Emma A. C. Emanuelsson, Matthew D. Jones|2021|Polym.Chem.|12|1086|doi:10.1039/D0PY01519A
DOI: 10.5517/ccdc.csd.cc26jc9f
title: CCDC 2041514: Experimental Crystal Structure Determination

description: Related Article: Tomasz Poręba, Marcin Swiatkowski, Rafał Kruszyński|2021|Dalton Trans.|50|2800|doi:10.1039/D0DT04042H
DOI: 10.5517/ccdc.csd.cc26msm8
title: CCDC 2044810: Experimental Crystal Structure Determination

description: Related Article: Aleksandr A. Sapianik, Marina O. Barsukova, Konstantin A. Kovalenko, Denis G. Samsonenko, Vladimir P. Fedin|2021|Dalton Trans.|50|2807|doi:10.1039/D0DT04047A
DOI: 10.5517/ccdc.csd.cc26msn9
title: CCDC 2044811: Experimental Crystal Structure Determination

description: Related Article: Aleksandr A. Sapianik, Marina O. Barsukova, Konstantin A. Kovalenko, Denis G. Samsonenko, Vladimir P. Fedin|2021|Dalton Trans.|50|2807|doi:10.1039/D0DT04047A
DOI: 10.5517/ccdc.csd.cc26zm94
title: CCDC 2055216: Experimental Crystal Structure Determination

description: Related Article: Lin Yang, Lihong Wang, Xingpu Lv, Jing-Huo Chen, Yang Wang, Guang Yang|2021|Dalton Trans.|50|2915|doi:10.1039/D0DT04037A
DOI: 10.5517/ccdc.csd.cc23pt2q
title: CCDC 1957373: Experimental Crystal Structure Determination

description: Related Article: Vladimir N. Mikhaylov, Igor V. Kazakov, Tatiana N. Parfeniuk, Olesya V. Khoroshilova, Manfred Scheer, Alexey Y. Timoshkin, Irina A. Balova|2021|Dalton Trans.|50|2872|doi:10.1039/D1DT00235J
DOI: 10.5517/ccdc.csd.cc26fd02
title: CCDC 2038653: Experimental Crystal Structure Determination

description: Related Article: Tifeng Xia|2020|CSD Communication|||
description: Related Article: Tifeng Xia, Yating Wan, Xiayan Yan, Li Hu, Zhigang Wu, Jun Zhang|2021|Dalton Trans.|50|2792|doi:10.1039/D0DT03647A
DOI: 10.6084/m9.figshare.14140640
title: S2_AM_fungi

description: Taxonomical identities of arbuscular mycorrhizal fungal Virtual Taxa detected from DNA present in soil. Based on the MaarjAM database.
DOI: 10.6084/m9.figshare.14140640.v1
title: S2_AM_fungi

description: Taxonomical identities of arbuscular mycorrhizal fungal Virtual Taxa detected from DNA present in soil. Based on the MaarjAM database.
DOI: 10.6084/m9.figshare.14140841
title: S2_fungi

description: Taxonomical identities and FUNGuild functional assignments of all fungal OTUs detected from DNA present in soil. Based on a combination of UNITE and Genbank databases.The rules and thresholds for functional guild assignments used in the study can be found in the Methods section of the article.<br>
DOI: 10.6084/m9.figshare.14140841.v1
title: S2_fungi

description: Taxonomical identities and FUNGuild functional assignments of all fungal OTUs detected from DNA present in soil. Based on a combination of UNITE and Genbank databases.The rules and thresholds for functional guild assignments used in the study can be found in the Methods section of the article.<br>
DOI: 10.6084/m9.figshare.14140853
title: S2_plants

description: Taxonomical identity of plant OTUs detected from DNA present in soil. Based on Genbank database.
DOI: 10.6084/m9.figshare.14140853.v1
title: S2_plants

description: Taxonomical identity of plant OTUs detected from DNA present in soil. Based on Genbank database.
DOI: 10.25646/8105
title: Tagesdaten-CSV aus dem DIVI-Intensivregister

description: Die Tagesdaten-CSV entspricht einem Auszug der Daten des DIVI-Intensivregisters. Die Datei enthält eine Aggregation der aktuellsten Meldungen pro Landkreis. Es werden die aktuell gemeldeten Anzahlen der COVID-19 Intensivfälle sowie die gemeldeten intensivmedizinischen Behandlungskapazitäten angezeigt. Die Tagesdaten-CSV liefert dabei ausschließlich einen Blick auf die Daten gemäß dem Stand des betrachteten Tages. Die Daten sind im situationsbedingten Kontext aufbereitet, damit sind verschiedene Tagesdaten-CSVs u.U. nicht direkt miteinander vergleichbar. Die aktuellsten Meldungen werden im gewählten Betrachtungszeitfenster über alle Meldebereiche und Standorte aufsummiert. Weitere Informationen sind zu finden unter https://www.intensivregister.de/#/faq
DOI: 10.6084/m9.figshare.14140856
title: S2_animals

description: Taxonomical identities and dietary trait classifications of soil animals detected from DNA present in soil. "x" denotes the dietary trait(s) attributed to the OTU. Based on Genbank database.
DOI: 10.6084/m9.figshare.14140856.v1
title: S2_animals

description: Taxonomical identities and dietary trait classifications of soil animals detected from DNA present in soil. "x" denotes the dietary trait(s) attributed to the OTU. Based on Genbank database.
DOI: 10.5281/zenodo.4390460
title: [Database] Urban Water Consumption at Multiple Spatial and Temporal Scales. A Review of Existing Datasets

description: This file contains the complete catalog of datasets and publications reviewed in: Di Mauro A., Cominola A., Castelletti A., Di Nardo A.. <em>Urban Water Consumption at Multiple Spatial and Temporal Scales. A Review of Existing Datasets.</em> Water 2021.The <strong>complete catalog</strong> contains: 92 state-of-the-art water demand datasets identified at the district, household, and end use scales; 120 related peer-reviewed publications; 57 additional datasets with electricity demand data at the end use and household scales. The following <strong>metadata</strong> are reported, for each <strong>dataset</strong>: Authors Year Location Dataset Size Time Series Length Time Sampling Resolution Access Policy. The following <strong>metadata </strong>are reported, for each <strong>publication</strong>: Authors Year Journal Title Spatial Scale Type of Study: Survey (S) / Dataset (D) Domain: Water (W)/Electricity (E) Time Sampling Resolution Access Policy Dataset Size Time Series Length Location <strong>Authors:</strong><br> Anna Di Mauro - Department of Engineering | Università degli studi della Campania Luigi Vanvitelli (Italy) | anna.dimauro@unicampania.it;<br> Andrea Cominola - Chair of Smart Water Networks | Technische Universität Berlin - Einstein Center Digital Future (Germany) | andrea.cominola@tu-berlin.de; <br> Andrea Castelletti - Department of Electronics, Information and Bioengineering | Politecnico di Milano (Italy) | andrea.castelletti@polimi.it<br> Armando Di Nardo -Department of Engineering | Università degli studi della Campania Luigi Vanvitelli (Italy) | armando.dinardo@unicampania.it <strong>Citation and reference:</strong> If you use this database, please consider citing our paper Di Mauro, A., Cominola, A., Castelletti, A., & Di Nardo, A. (2021). Urban Water Consumption at Multiple Spatial and Temporal Scales. A Review of Existing Datasets. Water, 13(1), 36, https://doi.org/10.3390/w13010036 <strong>Updates and Contributions:</strong> The catalogue stored in this public repository can be collaboratively updated as more datasets become available. The authors will periodically update it to a new version. New requests can be submitted to the authors, so that the dataset collection can be improved by different contributors. Contributors will be cited, step by step, in the updated versions of the dataset catalogue. <strong>Updates history:</strong> March 1st, 2021 - Pacheco, C.J.B., Horsburgh, J.S., Tracy, J.R. (Utah State University, Logan, UT - USA) --- The dataset associated with paper Bastidas Pacheco, C.J.; Horsburgh, J.S.; Tracy, R.J.. A Low-Cost, Open Source Monitoring System for Collecting High Temporal Resolution Water Use Data on Magnetically Driven Residential Water Meters. Sensors 2020, 20, 3655. is published in the HydroShare repository, where it is available as an OPEN dataset. Data can be found here: https://doi.org/10.4211/hs.4de42db6485f47b290bd9e17b017bb51
DOI: 10.5281/zenodo.4390459
title: [Database] Urban Water Consumption at Multiple Spatial and Temporal Scales. A Review of Existing Datasets

description: This file contains the complete catalog of datasets and publications reviewed in: Di Mauro A., Cominola A., Castelletti A., Di Nardo A.. <em>Urban Water Consumption at Multiple Spatial and Temporal Scales. A Review of Existing Datasets.</em> Water 2021.The <strong>complete catalog</strong> contains: 92 state-of-the-art water demand datasets identified at the district, household, and end use scales; 120 related peer-reviewed publications; 57 additional datasets with electricity demand data at the end use and household scales. The following <strong>metadata</strong> are reported, for each <strong>dataset</strong>: Authors Year Location Dataset Size Time Series Length Time Sampling Resolution Access Policy. The following <strong>metadata </strong>are reported, for each <strong>publication</strong>: Authors Year Journal Title Spatial Scale Type of Study: Survey (S) / Dataset (D) Domain: Water (W)/Electricity (E) Time Sampling Resolution Access Policy Dataset Size Time Series Length Location <strong>Authors:</strong><br> Anna Di Mauro - Department of Engineering | Università degli studi della Campania Luigi Vanvitelli (Italy) | anna.dimauro@unicampania.it;<br> Andrea Cominola - Chair of Smart Water Networks | Technische Universität Berlin - Einstein Center Digital Future (Germany) | andrea.cominola@tu-berlin.de; <br> Andrea Castelletti - Department of Electronics, Information and Bioengineering | Politecnico di Milano (Italy) | andrea.castelletti@polimi.it<br> Armando Di Nardo -Department of Engineering | Università degli studi della Campania Luigi Vanvitelli (Italy) | armando.dinardo@unicampania.it <strong>Citation and reference:</strong> If you use this database, please consider citing our paper Di Mauro, A., Cominola, A., Castelletti, A., & Di Nardo, A. (2021). Urban Water Consumption at Multiple Spatial and Temporal Scales. A Review of Existing Datasets. Water, 13(1), 36, https://doi.org/10.3390/w13010036 <strong>Updates and Contributions:</strong> The catalogue stored in this public repository can be collaboratively updated as more datasets become available. The authors will periodically update it to a new version. New requests can be submitted to the authors, so that the dataset collection can be improved by different contributors. Contributors will be cited, step by step, in the updated versions of the dataset catalogue. <strong>Updates history:</strong> March 1st, 2021 - Pacheco, C.J.B., Horsburgh, J.S., Tracy, J.R. (Utah State University, Logan, UT - USA) --- The dataset associated with paper Bastidas Pacheco, C.J.; Horsburgh, J.S.; Tracy, R.J.. A Low-Cost, Open Source Monitoring System for Collecting High Temporal Resolution Water Use Data on Magnetically Driven Residential Water Meters. Sensors 2020, 20, 3655. is published in the HydroShare repository, where it is available as an OPEN dataset. Data can be found here: https://doi.org/10.4211/hs.4de42db6485f47b290bd9e17b017bb51
DOI: 10.15468/xsc379
title: New genera, new species and new records of leafhoppers (Hemiptera: Cicadellidae) from Vietnam

description: This dataset contains the digitized treatments in Plazi based on the original journal article Dietrich, Christopher H., Nguyen, Huong T. T., Pham, Hong Thai (2020): New genera, new species and new records of leafhoppers (Hemiptera: Cicadellidae) from Vietnam. Zootaxa 4877 (2): 241-273, DOI: https://doi.org/10.11646/zootaxa.4877.2.2
DOI: 10.6084/m9.figshare.14140850
title: Number of publications per human gene

description: Number of publications per human gene using gene2pubmed downloaded on January 4, 2021.
DOI: 10.15468/ye5yg7
title: Five new species of the leafhopper genus Limassolla Dlabola (Hemiptera Cicadellidae: Typhlocybinae)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Zhou, Xian, Dietrich, Christopher H., Zhang, Yalin, Huang, Min (2020): Five new species of the leafhopper genus Limassolla Dlabola (Hemiptera Cicadellidae: Typhlocybinae). Zootaxa 4878 (3): 559-571, DOI: https://doi.org/10.11646/zootaxa.4878.3.7
DOI: 10.6084/m9.figshare.14140928
title: Simpson similarity of each human gene to HIF1A based on gene2pubmed

description: Similarity of each human gene to HIF1A based on gene2pubmed downloaded on January 4, 2021.
DOI: 10.6084/m9.figshare.14140928.v1
title: Simpson similarity of each human gene to HIF1A based on gene2pubmed

description: Similarity of each human gene to HIF1A based on gene2pubmed downloaded on January 4, 2021.
DOI: 10.6084/m9.figshare.13537295.v1
title: ErtenKokko2021_canstraint

description: - main_code.zip contains the MATLAB code used in this study, also found in https://github.com/yagmurerten/Canstraint<br>- canstraint_analytics.nb and canstraint_analytics_SI.nb are the Mathematica notebooks used for the analyses in the main text and supplementary information, respectively.<br>- popcheck.m is an additional script that was used to extract data from final .mat files (generates analysis_scripts/supp_data/supp_mature_popsize.txt).<br>- derived_data.zip contains the .rds files derived from the raw data and were used in generating figures in the main text and supplementary information. <br>- analysis_scripts.zip contains processing scripts used to generate the derived data and make the figures in the main text and Supplementary Information.<br>
DOI: 10.15468/fg49zw
title: Hydroids (Cnidaria, Hydrozoa) from Mauritanian Coral Mounds

description: This dataset contains the digitized treatments in Plazi based on the original journal article Gil, Marta, Ramil, Fran, Agís, José Ansín (2020): Hydroids (Cnidaria, Hydrozoa) from Mauritanian Coral Mounds. Zootaxa 4878 (3): 412-466, DOI: https://doi.org/10.11646/zootaxa.4878.3.2
DOI: 10.6084/m9.figshare.14140946
title: Top 100 human genes down-regulated under hypoxic conditions

description: Top 100 human genes down-regulated under hypoxic conditions based on meta-analysis
DOI: 10.6084/m9.figshare.14140946.v1
title: Top 100 human genes down-regulated under hypoxic conditions

description: Top 100 human genes down-regulated under hypoxic conditions based on meta-analysis
DOI: 10.5281/zenodo.4573282
title: Optimization of Slipids Force Field Parameters Describing Headgroups of Phospholipids

description: Trajectory, topology and parameter files for simulation of DPPC bilayer using force field parameters derived in <em>J. Phys. Chem. B</em> 2020, 124, 40, 8784–8793.
DOI: 10.5281/zenodo.4573281
title: Optimization of Slipids Force Field Parameters Describing Headgroups of Phospholipids

description: Trajectory, topology and parameter files for simulation of DPPC bilayer using force field parameters derived in <em>J. Phys. Chem. B</em> 2020, 124, 40, 8784–8793.
DOI: 10.5281/zenodo.4570731
title: Dataset related to article"Progression of cerebellar atrophy in spinocerebellar ataxia type 2 gene carriers: A longitudinal MRI study in preclinical and early disease stages"

description: Clinical database containing genetic test, neurological examination, cognitive tests, and brain MRI of 42 subjects: (14 SCA2 patients, 13 presymptomatic SCA2 subjects,5 gene-negative healthy controls)
description: Research supported by Italian Ministry of Health. Project RF-2011-02347420 - Monitoring disease progression and phenotypic heterogeneity in hereditary ataxias: clinical, cognitive, neuroimaging, and neurophysiological study to identify early markers of cerebellar dysfunction in patients and presymptomatic carriers
DOI: 10.5281/zenodo.4570730
title: Dataset related to article"Progression of cerebellar atrophy in spinocerebellar ataxia type 2 gene carriers: A longitudinal MRI study in preclinical and early disease stages"

description: Clinical database containing genetic test, neurological examination, cognitive tests, and brain MRI of 42 subjects: (14 SCA2 patients, 13 presymptomatic SCA2 subjects,5 gene-negative healthy controls)
description: Research supported by Italian Ministry of Health. Project RF-2011-02347420 - Monitoring disease progression and phenotypic heterogeneity in hereditary ataxias: clinical, cognitive, neuroimaging, and neurophysiological study to identify early markers of cerebellar dysfunction in patients and presymptomatic carriers
DOI: 10.6084/m9.figshare.14140985
title: Comparison of e-textiles to Ag/AgCl for BIA

description: This dataset includes BIA parameters for e-textile electrodes and Ag/AgCl electrodes using pork belly samples as a biotissue under study.
DOI: 10.6084/m9.figshare.14140985.v1
title: Comparison of e-textiles to Ag/AgCl for BIA

description: This dataset includes BIA parameters for e-textile electrodes and Ag/AgCl electrodes using pork belly samples as a biotissue under study.
DOI: 10.24376/rd.sgul.13521764
title: Initiation and completion of treatment for latent tuberculosis infection in migrants globally: A systematic review and meta-regression analysis

description: This is the extracted data used to analyse latent tuberculosis infection (LTBI) treatment initiation and completion amongst migrants globally. <br>Separate sheets are prepared for: The full dataset; analysis of treatment initiation; analysis of treatment completion; analysis of whole pathway from those that tested positive to completing treatment.<br>More information about this project is available via the grant funding linked below.<br>
DOI: 10.24376/rd.sgul.13521764.v1
title: Initiation and completion of treatment for latent tuberculosis infection in migrants globally: A systematic review and meta-regression analysis

description: This is the extracted data used to analyse latent tuberculosis infection (LTBI) treatment initiation and completion amongst migrants globally. <br>Separate sheets are prepared for: The full dataset; analysis of treatment initiation; analysis of treatment completion; analysis of whole pathway from those that tested positive to completing treatment.<br>More information about this project is available via the grant funding linked below.<br>
DOI: 10.5281/zenodo.4573263
title: Software Engineering PhD and Licentiate Theses in Sweden: Publication statistics

description: This simple dataset contains publication statistics of Swedish PhD and Licentiate thesis in Software Engineering from 1999 to 2018. The contents of this dataset were discussed in a blog post on https://grischaliebel.de. The data is offered in two formats, xlsx and csv, but with the same content. Names and affiliation are anonymised in the data set to prevent identification of subjects. In the following, we describe the content of the different columns in the table. Level: 'lic' for Licentiate theses or 'phd' for PhD theses Year: The year of publication of the thesis Included: The total number of papers included in the compilation-style thesis. Listed: Number of papers listed in addition to the included papers (basically "I have also published these, but they are not relevant to the thesis). Note that we cannot distinguish between cases, where no papers are listed because none are published, or because the author decided not to list them. IncludedPublished: The amount of included papers that are published or accepted for publication. IncludedSubmitted: The amount of included papers that in submission/under review. IncludedPublishedISI: The amount of included, published papers that are in ISI-ranked journals. IncludedPublishedNonISIJ: The amount of included, published papers that are in non ISI-ranked journals. IncludedPublishedConf: The amount of included, published papers that are in CORE-ranked conferences (any grade). IncludedPublishedWS: The amount of included, published papers that are in workshops. Non CORE-ranked conferences are counted as workshops as well. IncludedPublishedOther: The amount of included, published papers that do not fit in any other category (e.g., book chapters, technical reports). IncludedSubmitted*: Amount of included, submitted papers broken down by category (Journal, conference, workshop, and other). ListedPublished*: Amount of listed, published papers broken down by category (ISI/Non-ISI Journal, conference, workshop, and other). ListedSubmitted*: Amount of listed, submitted papers broken down by category (Journal, conference, workshop, and other).
DOI: 10.5281/zenodo.4573262
title: Software Engineering PhD and Licentiate Theses in Sweden: Publication statistics

description: This simple dataset contains publication statistics of Swedish PhD and Licentiate thesis in Software Engineering from 1999 to 2018. The contents of this dataset were discussed in a blog post on https://grischaliebel.de. The data is offered in two formats, xlsx and csv, but with the same content. Names and affiliation are anonymised in the data set to prevent identification of subjects. In the following, we describe the content of the different columns in the table. Level: 'lic' for Licentiate theses or 'phd' for PhD theses Year: The year of publication of the thesis Included: The total number of papers included in the compilation-style thesis. Listed: Number of papers listed in addition to the included papers (basically "I have also published these, but they are not relevant to the thesis). Note that we cannot distinguish between cases, where no papers are listed because none are published, or because the author decided not to list them. IncludedPublished: The amount of included papers that are published or accepted for publication. IncludedSubmitted: The amount of included papers that in submission/under review. IncludedPublishedISI: The amount of included, published papers that are in ISI-ranked journals. IncludedPublishedNonISIJ: The amount of included, published papers that are in non ISI-ranked journals. IncludedPublishedConf: The amount of included, published papers that are in CORE-ranked conferences (any grade). IncludedPublishedWS: The amount of included, published papers that are in workshops. Non CORE-ranked conferences are counted as workshops as well. IncludedPublishedOther: The amount of included, published papers that do not fit in any other category (e.g., book chapters, technical reports). IncludedSubmitted*: Amount of included, submitted papers broken down by category (Journal, conference, workshop, and other). ListedPublished*: Amount of listed, published papers broken down by category (ISI/Non-ISI Journal, conference, workshop, and other). ListedSubmitted*: Amount of listed, submitted papers broken down by category (Journal, conference, workshop, and other).
DOI: 10.6084/m9.figshare.14140997
title: Genelist_Top 100 human genes down-regulated under hypoxic conditions

description: Top 100 human genes down-regulated under hypoxic conditions based on meta-analysis
DOI: 10.5519/qd.7r3220ia
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (478 records)
DOI: 10.23729/07dc2f70-7d34-4e25-98b3-2cd380c16019
title: Modular and distributive lattices, without vertical sums and 2-sums
title: Modulaarisia ja distributiivisia hiloja, ilman vertikaalisia summia ja 2-summia

description: The data contains exhaustive listings of nonisomorphic modular lattices (4-35 elements) and distributive lattices (4-60 elements), except for vertical sums and 2-sums. The lattices are stored in digraph6 format and compressed with xz. More details in file 00README.txt. The arXiv manuscript describes how the data were created. Program code is available at .
description: Aineistossa on lueteltu kaikki epäisomorfiset modulaariset hilat (4-35 alkiota) ja distributiiviset hilat (4-60 alkiota), lukuunottamatta vertikaalisia summia ja 2-summia. Hilat on tallennettu digraph6-muodossa ja pakattu xz:llä. Tarkempi kuvaus tiedostossa 00README.txt. Kuvaus aineiston tuottamisesta on arXiv-käsikirjoituksessa . Ohjelmakoodi on saatavana osoitteessa .