cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.13145/bacdive121695.20191129.4.1
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive121696.20191129.4.1
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive121697.20191129.4.1
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive121698.20191129.4.1
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive121699.20191129.4.1
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive121700.20191129.4.1
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive121701.20191129.4.1
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive121702.20191129.4.1
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive121703.20191129.4.1
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive121704.20191129.4.1
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive121705.20191129.4.1
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive121706.20191129.4.1
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive121707.20191129.4.1
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive121708.20191129.4.1
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive121709.20191129.4.1
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive121710.20191129.4.1
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive121711.20191129.4.1
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive121712.20191129.4.1
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive121713.20191129.4.1
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive121714.20191129.4.1
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive121715.20191129.4.1
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive121716.20191129.4.1
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive121717.20191129.4.1
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.5281/zenodo.4454867
title: Kin selection explains the evolution of cooperation in the gut microbiota, by Simonet & McNally, 2020, Dataset S1 and codes for statistical analysis and figures production

description: Dataset S1 contains all raw and processed material referred to in the published article "Kin selection explains the evolution of cooperation in the gut microbiota". R codes files provide all codes to replicate the analysis. Please refer to the README file for a description of all code files. The manifest files are those obtained by accessing the HMP portal on April 2020 under Project &gt; HMP, Body Site &gt; feces, Studies&gt;WGS-PP1, File Type &gt; WGS raw sequences set, File format &gt; FASTQ. We also provide access to these data and codes at our GitHub (https://github.com/CamilleAnna/HamiltonRuleMicrobiome gitRepos.git) which can be cloned to directly re-run this analysis. <strong>Legends for Dataset S1:</strong> Sheet 1: Metagenomic samples used and access links. Sheet 2: Reference on bacterial cooperation retrieved from Web of Science search: TI¯((microb* OR bacter* OR microorganis* OR micro-organis*) AND (coop* OR social*) Sheet 3: Retained bacteria cooperation keywords Sheet 4: GOs identified by annotating all MIDAS database genomes (5944 genomes) with PANNZER2. Sheet 5: Full list of potential bacterial cooperation GO terms and description of manual curation decisions. Sheet 6: Final list of bacterial cooperation GO used for the analysis Sheet 7: Genomic diversity of the bacterial population within and across host. Computed from MIDAS snp_diversity.py pipeline. Sheet 8: final dataset for statistical analysis. Sheet 9: per-gene annotation of cooperation.
DOI: 10.13145/bacdive121718.20191129.4.1
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.5281/zenodo.4454819
title: Kin selection explains the evolution of cooperation in the gut microbiota, by Simonet & McNally, 2020, Dataset S1 and codes for statistical analysis and figures production

description: Dataset S1 contains all raw and processed material referred to in the published article "Kin selection explains the evolution of cooperation in the gut microbiota". R codes files provide all codes to replicate the analysis. Please refer to the README file for a description of all code files. The manifest files are those obtained by accessing the HMP portal on April 2020 under Project &gt; HMP, Body Site &gt; feces, Studies&gt;WGS-PP1, File Type &gt; WGS raw sequences set, File format &gt; FASTQ. We also provide access to these data and codes at our GitHub (https://github.com/CamilleAnna/HamiltonRuleMicrobiome gitRepos.git) which can be cloned to directly re-run this analysis. <strong>Legends for Dataset S1:</strong> Sheet 1: Metagenomic samples used and access links. Sheet 2: Reference on bacterial cooperation retrieved from Web of Science search: TI¯((microb* OR bacter* OR microorganis* OR micro-organis*) AND (coop* OR social*) Sheet 3: Retained bacteria cooperation keywords Sheet 4: GOs identified by annotating all MIDAS database genomes (5944 genomes) with PANNZER2. Sheet 5: Full list of potential bacterial cooperation GO terms and description of manual curation decisions. Sheet 6: Final list of bacterial cooperation GO used for the analysis Sheet 7: Genomic diversity of the bacterial population within and across host. Computed from MIDAS snp_diversity.py pipeline. Sheet 8: final dataset for statistical analysis. Sheet 9: per-gene annotation of cooperation.
DOI: 10.13145/bacdive121719.20191129.4.1
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive121720.20191129.4.1
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive121721.20191129.4.1
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive121722.20191129.4.1
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive121723.20191129.4.1
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive121724.20191129.4.1
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive121725.20191129.4.1
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive121726.20191129.4.1
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive121727.20191129.4.1
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive121728.20191129.4.1
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive121729.20191129.4.1
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive121730.20191129.4.1
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive121731.20191129.4.1
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive121732.20191129.4.1
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive121733.20191129.4.1
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive121734.20191129.4.1
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive121735.20191129.4.1
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive121736.20191129.4.1
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive121737.20191129.4.1
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive121738.20191129.4.1
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.5517/ccdc.csd.cc2598h8
title: CCDC 2004909: Experimental Crystal Structure Determination

description: Related Article: Joydev Acharya, Naushad Ahmed, Jessica Flores Gonzalez, Pawan Kumar, Olivier Cador, Saurabh Kumar Singh, Fabrice Pointillart, Vadapalli Chandrasekhar|2020|Dalton Trans.|49|13110|doi:10.1039/D0DT02881A
DOI: 10.5517/ccdc.csd.cc2598j9
title: CCDC 2004910: Experimental Crystal Structure Determination

description: Related Article: Joydev Acharya, Naushad Ahmed, Jessica Flores Gonzalez, Pawan Kumar, Olivier Cador, Saurabh Kumar Singh, Fabrice Pointillart, Vadapalli Chandrasekhar|2020|Dalton Trans.|49|13110|doi:10.1039/D0DT02881A
DOI: 10.5517/ccdc.csd.cc2598lc
title: CCDC 2004912: Experimental Crystal Structure Determination

description: Related Article: Michael Bolte|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc2598nf
title: CCDC 2004914: Experimental Crystal Structure Determination

description: Related Article: Michael Bolte|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc2598pg
title: CCDC 2004915: Experimental Crystal Structure Determination

description: Related Article: Michael Bolte|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc2598qh
title: CCDC 2004916: Experimental Crystal Structure Determination

description: Related Article: Woori Lee, Yeonhee Lee, Minjin Yoo, Soo Bong Han, Hyun Jin Kim|2020|Org.Chem.Front.|7|3209|doi:10.1039/D0QO00893A
DOI: 10.5517/ccdc.csd.cc2598rj
title: CCDC 2004917: Experimental Crystal Structure Determination

description: Related Article: Xia Hao, Min Luo, Chensheng Lin, Guang Peng, Tao Yan, Donghong Lin, LiLing Cao, Xifa Long, Guangsai Yang, Ning Ye|2020|Inorg.Chem.|59|10361|doi:10.1021/acs.inorgchem.0c01502
DOI: 10.5517/ccdc.csd.cc26094p
title: CCDC 2026071: Experimental Crystal Structure Determination

description: Related Article: Jin-Juan Xing, Ping-Ping Sun, Yu-Hang Zhang, Fa-Nian Shi|2020|Inorg.Chim.Acta|517|120197|doi:10.1016/j.ica.2020.120197
DOI: 10.5517/ccdc.csd.cc26096r
title: CCDC 2026073: Experimental Crystal Structure Determination

description: Related Article: Jin-Juan Xing, Ping-Ping Sun, Yu-Hang Zhang, Fa-Nian Shi|2020|Inorg.Chim.Acta|517|120197|doi:10.1016/j.ica.2020.120197
DOI: 10.5517/ccdc.csd.cc26fxxh
title: CCDC 2039177: Experimental Crystal Structure Determination

description: Related Article: Róbert Gyepes, Jiří Pinkas, Jiří Kubišta, Karel Mach, Michal Horáček|2021|J.Organomet.Chem.|934|121663|doi:10.1016/j.jorganchem.2020.121663
DOI: 10.5517/ccdc.csd.cc26fxyj
title: CCDC 2039178: Experimental Crystal Structure Determination

description: Related Article: Róbert Gyepes, Jiří Pinkas, Jiří Kubišta, Karel Mach, Michal Horáček|2021|J.Organomet.Chem.|934|121663|doi:10.1016/j.jorganchem.2020.121663
DOI: 10.5517/ccdc.csd.cc26fxzk
title: CCDC 2039179: Experimental Crystal Structure Determination

description: Related Article: Róbert Gyepes, Jiří Pinkas, Jiří Kubišta, Karel Mach, Michal Horáček|2021|J.Organomet.Chem.|934|121663|doi:10.1016/j.jorganchem.2020.121663
DOI: 10.5517/ccdc.csd.cc26fy0m
title: CCDC 2039180: Experimental Crystal Structure Determination

description: Related Article: Róbert Gyepes, Jiří Pinkas, Jiří Kubišta, Karel Mach, Michal Horáček|2021|J.Organomet.Chem.|934|121663|doi:10.1016/j.jorganchem.2020.121663
DOI: 10.5281/zenodo.4106409
title: Torres-García et al. 2020_AJB_Ecophysiological data of the phreatophyte Ziziphus lotus

description: Data for the phreatophytic shrub <em>Ziziphus lotus</em> (L.) Lam (Rhamnaceae) in a grounwater-dependent ecosystem of semiarid regions (southeastern Spain). Stable hydrogen (δ<sup>2</sup>H) and oxygen (δ<sup>18</sup>O) isotopes to find out which is the dominant water source for the plants. Carbon stable isotope composition of leaves (δ<sup>13</sup>C) as a ecological indicator of plants function. Predawn (<em>Ψ</em><sub>pd</sub>) and midday (<em>Ψ</em><sub>md</sub>) water potentials to characterize the species on an isohydric–anisohydric continuum. Folar gas-exchange rates and nutrient concentrations to evaluate plants’ response to increasing water stress along a depth-to-groundwater (DTGW) gradient. For further description of the methods, please see Torres-García et al., 2021. Squandering water in drylands. <em>Am. J. Bot.</em> DOI: 10.1002/ajb2.1606
DOI: 10.5281/zenodo.4106408
title: Torres-García et al. 2020_AJB_Ecophysiological data of the phreatophyte Ziziphus lotus

description: Data for the phreatophytic shrub <em>Ziziphus lotus</em> (L.) Lam (Rhamnaceae) in a grounwater-dependent ecosystem of semiarid regions (southeastern Spain). Stable hydrogen (δ<sup>2</sup>H) and oxygen (δ<sup>18</sup>O) isotopes to find out which is the dominant water source for the plants. Carbon stable isotope composition of leaves (δ<sup>13</sup>C) as a ecological indicator of plants function. Predawn (<em>Ψ</em><sub>pd</sub>) and midday (<em>Ψ</em><sub>md</sub>) water potentials to characterize the species on an isohydric–anisohydric continuum. Folar gas-exchange rates and nutrient concentrations to evaluate plants’ response to increasing water stress along a depth-to-groundwater (DTGW) gradient. For further description of the methods, please see Torres-García et al., 2021. Squandering water in drylands. <em>Am. J. Bot.</em> DOI: 10.1002/ajb2.1606
DOI: 10.6084/m9.figshare.13622099
title: Supplementary Material for: Adherence to Antithrombotic Treatment and Ischemic Stroke Recurrence in Egypt and Germany: A Comparative Analysis

description: <b><i>Background:</i></b> The burden of stroke weighs heavily in developing countries where recurrence rates clearly exceed that of developed countries. The impact of nonadherence to antithrombotic treatment within this context has been poorly investigated. <b><i>Objective:</i></b> The objective of this study was to evaluate patients with recurrent ischemic stroke in Egypt and Germany with focus on stroke subtype distribution and adherence to antithrombotic therapy. <b><i>Methods:</i></b> We conducted a comparative cross-sectional retrospective cohort study enrolling consecutive patients hospitalized for recurrent ischemic stroke in 2017 in 2 academic centers. Data were collected on demographics, risk factors, stroke subtypes, and medication adherence. Nonadherence to antithrombotic agents was analyzed at the time point of index stroke (recurrent stroke). Predictors of nonadherence were analyzed using logistic regression. <b><i>Results:</i></b> A total of 373 Egyptian and 468 German patients with ischemic stroke were included. The proportion of recurrent ischemic stroke among all patients was higher in the Egyptian cohort compared to the German cohort (33 vs. 10%, <i>p</i> &lt; 0.05). Small-vessel occlusion stroke was the most frequent subtype in Egyptians, with a significantly greater proportion than in Germans (45 vs. 26%, <i>p</i> &lt; 0.05). Nonadherence to antiplatelets at the time point of the recurrent stroke was higher in Egyptians than in Germans (82 vs. 19%, <i>p</i> &lt; 0.001). Low educational attainment among Egyptians (OR 0.14, 95% CI [0.00–0.19], <i>p</i> &lt; 0.01) and high comorbidity scores among Germans (OR 2.45, 95% CI [1.06–5.66], <i>p</i> &lt; 0.05) were found to be predictors of nonadherence to antithrombotic treatment. <b><i>Conclusions:</i></b> The large stroke recurrence burden in Egypt may be partly explained by differing adherence to secondary preventative antithrombotic pharmacotherapy. Predictors of medication nonadherence have to be addressed to reduce stroke recurrence disparities.
DOI: 10.6084/m9.figshare.13603454
title: Title: Role of ivermectin in the prevention of SARS-CoV-2 infection among healthcare workers in India: A matched case-control study

description: A case-control study from tertiary hospital of Eastern India which explores the role of ivermectin for prevention of COVID-19 disease.<br>
DOI: 10.6084/m9.figshare.13603454.v1
title: Title: Role of ivermectin in the prevention of SARS-CoV-2 infection among healthcare workers in India: A matched case-control study

description: A case-control study from tertiary hospital of Eastern India which explores the role of ivermectin for prevention of COVID-19 disease.<br>
DOI: 10.17638/datacat.liverpool.ac.uk/1213
title: Characterisation of poly-lysine
DOI: 10.15468/szxfmk
title: Taxonomic review of Tipula (Vestiplex Bezzi) crane flies (Diptera: Tipulidae) in Mongolia

description: This dataset contains the digitized treatments in Plazi based on the original journal article Starkevich, Pavel, Podenas, Sigitas, Gelhaus, Jon K. (2020): Taxonomic review of Tipula (Vestiplex Bezzi) crane flies (Diptera: Tipulidae) in Mongolia. Zootaxa 4837 (1): 1-88, DOI: https://doi.org/10.11646/zootaxa.4837.1.1
DOI: 10.6084/m9.figshare.13614083.v1
title: Supplemental material_Soluble alpha klotho in acromegaly: Comparison to traditional markers of disease activity

description: Supplemental material_Soluble alpha klotho in acromegaly: Comparison to traditional markers of disease activity
DOI: 10.6084/m9.figshare.13614083.v2
title: Supplemental material_Soluble alpha klotho in acromegaly: Comparison to traditional markers of disease activity

description: Supplemental material_Soluble alpha klotho in acromegaly: Comparison to traditional markers of disease activity
DOI: 10.15468/yuhtak
title: Thirteen new species of genera Dichomeris Hübner, 1818 and Helcystogramma Zeller, 1877 (Lepidoptera, Gelechiidae, Dichomeridinae) with twenty-one newly recorded species from Vietnam

description: This dataset contains the digitized treatments in Plazi based on the original journal article Park, Kyu-Tek, Bae, Yang-Seop, Zhao, Shengnan, Li, Houhun (2020): Thirteen new species of genera Dichomeris Hübner, 1818 and Helcystogramma Zeller, 1877 (Lepidoptera, Gelechiidae, Dichomeridinae) with twenty-one newly recorded species from Vietnam. Zootaxa 4821 (3): 435-461, DOI: https://doi.org/10.11646/zootaxa.4821.3.2
DOI: 10.25646/7884
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