cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.4672210
title: The importance of turbulent ocean-sea ice nutrient exchanges for simulation of ice algal biomass and production with CICE6.1 and Icepack 1.2 - model simulations

description: This *zip file contains simulation results described in the paper "The importance of turbulent ocean-sea ice nutrient exchanges for simulation of ice algal biomass and production with CICE6.1 and Icepack 1.2 - model simulations". It is divided in two main directories - one with results obtained for a refrosen lead and another with results obtained for second year ice. These simulations werer carried out with a fork (https://github.com/pduarte8/CICE and https://github.com/pduarte8/Icepack) of the CICE + Icepack model (https://github.com/CICE-Consortium).
DOI: 10.5281/zenodo.4672209
title: The importance of turbulent ocean-sea ice nutrient exchanges for simulation of ice algal biomass and production with CICE6.1 and Icepack 1.2 - model simulations

description: This *zip file contains simulation results described in the paper "The importance of turbulent ocean-sea ice nutrient exchanges for simulation of ice algal biomass and production with CICE6.1 and Icepack 1.2 - model simulations". It is divided in two main directories - one with results obtained for a refrosen lead and another with results obtained for second year ice. These simulations werer carried out with a fork (https://github.com/pduarte8/CICE and https://github.com/pduarte8/Icepack) of the CICE + Icepack model (https://github.com/CICE-Consortium).
DOI: 10.5281/zenodo.5139998
title: RobotReviewer v2 models

description: Models associated with https://github.com/bwallace/RRnlp
DOI: 10.25934/00002475.0
title: Available IPD datapackage for study 'A Phase 3 Multicenter, Randomized, Double-Blind, Parallel Group, Placebo Controlled Trial to Evaluate the Efficacy of TAK-390MR (30 mg QD) Compared to Placebo on Relief of Nocturnal Heartburn in Subjects With Symptomatic Gastroesophageal Reflux Disease (GERD)'

description: Vivli is an independent, non-profit organization that has developed a global data-sharing and analytics platform to serve all elements of the international research community. Our mission is to promote, coordinate, and facilitate scientific sharing and reuse of clinical research data through the creation and implementation of a sustainable global data-sharing enterprise. The Vivli platform includes an independent data repository, in-depth search engine and a cloud-based, secure analytics platform.
DOI: 10.25934/00002475.1
title: IPD datapackage for study 'A Phase 3 Multicenter, Randomized, Double-Blind, Parallel Group, Placebo Controlled Trial to Evaluate the Efficacy of TAK-390MR (30 mg QD) Compared to Placebo on Relief of Nocturnal Heartburn in Subjects With Symptomatic Gastroesophageal Reflux Disease (GERD)' and research request: 'Heterogeneity in relative treatment efficacy by age, sex, socioeconomic status and comorbidity (McAllister)'

description: Vivli is an independent, non-profit organization that has developed a global data-sharing and analytics platform to serve all elements of the international research community. Our mission is to promote, coordinate, and facilitate scientific sharing and reuse of clinical research data through the creation and implementation of a sustainable global data-sharing enterprise. The Vivli platform includes an independent data repository, in-depth search engine and a cloud-based, secure analytics platform.
DOI: 10.25934/00002448.0
title: Available IPD datapackage for study 'A Phase 3, Open-Label Study to Assess the Long-Term Safety of Dexlansoprazole MR (60 mg QD and 90 mg QD)'

description: Vivli is an independent, non-profit organization that has developed a global data-sharing and analytics platform to serve all elements of the international research community. Our mission is to promote, coordinate, and facilitate scientific sharing and reuse of clinical research data through the creation and implementation of a sustainable global data-sharing enterprise. The Vivli platform includes an independent data repository, in-depth search engine and a cloud-based, secure analytics platform.
DOI: 10.25934/00002448.1
title: IPD datapackage for study 'A Phase 3, Open-Label Study to Assess the Long-Term Safety of Dexlansoprazole MR (60 mg QD and 90 mg QD)' and research request: 'Heterogeneity in relative treatment efficacy by age, sex, socioeconomic status and comorbidity (McAllister)'

description: Vivli is an independent, non-profit organization that has developed a global data-sharing and analytics platform to serve all elements of the international research community. Our mission is to promote, coordinate, and facilitate scientific sharing and reuse of clinical research data through the creation and implementation of a sustainable global data-sharing enterprise. The Vivli platform includes an independent data repository, in-depth search engine and a cloud-based, secure analytics platform.
DOI: 10.5281/zenodo.5138131
title: Data MH simulations COSMO-CLM Russo et al. 2021, Climate of the Past

description: Postprocessed data of the Mid-Holocene (MH) simulations performed for the manuscript of Russo et al. 2021, submitted to the journal Climate of the Past and entitled: "The long-standing dilemma of European summer temperatures at the Mid-Holocene and other considerations on learning from the past for the future using a regional climate model". The structure of the directories of the data is as follow: --PPE_exp: data of the Physically Perturbed Ensembles<br> Inside this directory there are 3 subfolders:<br> -day_anm: daily mean anomalies<br> -mon_bias: decadal monthly means<br> -mon_fld: spatial averages of monthly means<br> In each of these subfolders, there are data for each of the considered variables:<br> -T_2M; CLCT; TOT_PREC<br> --soil_pert: sensitivity tests with different initial soil moisture on 1st of April at MH<br> soil_pert only has data for MH for T_2M<br> <br> For more specific Information on the presented data, [please refer to the corresponding paper.
DOI: 10.5281/zenodo.5138130
title: Data MH simulations COSMO-CLM Russo et al. 2021, Climate of the Past

description: Postprocessed data of the Mid-Holocene (MH) simulations performed for the manuscript of Russo et al. 2021, submitted to the journal Climate of the Past and entitled: "The long-standing dilemma of European summer temperatures at the Mid-Holocene and other considerations on learning from the past for the future using a regional climate model". The structure of the directories of the data is as follow: --PPE_exp: data of the Physically Perturbed Ensembles<br> Inside this directory there are 3 subfolders:<br> -day_anm: daily mean anomalies<br> -mon_bias: decadal monthly means<br> -mon_fld: spatial averages of monthly means<br> In each of these subfolders, there are data for each of the considered variables:<br> -T_2M; CLCT; TOT_PREC<br> --soil_pert: sensitivity tests with different initial soil moisture on 1st of April at MH<br> soil_pert only has data for MH for T_2M<br> <br> For more specific Information on the presented data, [please refer to the corresponding paper.
DOI: 10.5281/zenodo.5140034
title: Data PI simulations COSMO-CLM Russo et al. 2021, Climate of the Past

description: Postprocessed data of the PRE-Industrial (PI) simulations performed for the manuscript of Russo et al. 2021, submitted to the journal Climate of the Past and entitled: "The long-standing dilemma of European summer temperatures at the Mid-Holocene and other considerations on learning from the past for the future using a regional climate model". The structure of the directories of the data is as follow: --PPE_exp: data of the Physically Perturbed Ensembles<br> Inside this directory there are 3 subfolders:<br> -day_anm: daily mean anomalies<br> -mon_bias: decadal monthly means<br> -mon_fld: spatial averages of monthly means<br> In each of these subfolders, there are data for each of the considered variables:<br> -T_2M; CLCT; TOT_PREC<br> <br> For more specific Information on the presented data, please refer to the corresponding paper:
DOI: 10.5281/zenodo.5140033
title: Data PI simulations COSMO-CLM Russo et al. 2021, Climate of the Past

description: Postprocessed data of the PRE-Industrial (PI) simulations performed for the manuscript of Russo et al. 2021, submitted to the journal Climate of the Past and entitled: "The long-standing dilemma of European summer temperatures at the Mid-Holocene and other considerations on learning from the past for the future using a regional climate model". The structure of the directories of the data is as follow: --PPE_exp: data of the Physically Perturbed Ensembles<br> Inside this directory there are 3 subfolders:<br> -day_anm: daily mean anomalies<br> -mon_bias: decadal monthly means<br> -mon_fld: spatial averages of monthly means<br> In each of these subfolders, there are data for each of the considered variables:<br> -T_2M; CLCT; TOT_PREC<br> <br> For more specific Information on the presented data, please refer to the corresponding paper:
DOI: 10.5281/zenodo.5140030
title: Breast arterial calcifications as a biomarker of cardiovascular risk: radiologists' awareness, reporting, and action. A survey among the EUSOBI members

description: Data set from the article Trimboli RM, Capra D, Codari M, Cozzi A, Di Leo G, Sardanelli F. Breast arterial calcifications as a biomarker of cardiovascular risk: radiologists' awareness, reporting, and action. A survey among the EUSOBI members. Eur Radiol. 2021 Feb;31(2):958-966. doi: 10.1007/s00330-020-07136-6. Epub 2020 Aug 27. PMID: 32851451; PMCID: PMC7813731. <strong>Abstract</strong> <strong>Objectives: </strong>To investigate the knowledge of radiologists on breast arterial calcifications (BAC) and attitude about BAC reporting, communication to women, and subsequent action. <strong>Methods: </strong>An online survey was offered to EUSOBI members, with 17 questions focused on demographics, level of experience, clinical setting, awareness of BAC association with cardiovascular risk, mammographic reporting, modality of BAC assessment, and action habits. Descriptive statistics were used. <strong>Results: </strong>Among 1084 EUSOBI members, 378 (34.9%) responded to the survey, 361/378 (95.5%) radiologists, 263 females (69.6%), 112 males (29.6%), and 3 (0.8%) who did not specify their gender. Of 378 respondents, 305 (80.7%) declared to be aware of BAC meaning in terms of cardiovascular risk and 234 (61.9%) to routinely include BAC in mammogram reports, when detected. Excluding one inconsistent answer, simple annotation of BAC presence was declared by 151/233 (64.8%), distinction between low versus extensive BAC burden by 59/233 (25.3%), and usage of an ordinal scale by 22/233 (9.5%) and of a cardinal scale by 1/233 (0.4%). Among these 233 radiologists reporting BAC, 106 (45.5%) declared to orally inform the woman and, in case of severe BAC burden, 103 (44.2%) to investigate cardiovascular history, and 92 (39.5%) to refer the woman to a cardiologist. <strong>Conclusion: </strong>Among EUSOBI respondents, over 80% declared to be aware of BAC cardiovascular meaning and over 60% to include BAC in the report. Qualitative BAC assessment predominates. About 40% of respondents who report on BAC, in the case of severe BAC burden, investigate cardiovascular history and/or refer the woman to a cardiologist.
DOI: 10.5281/zenodo.5140029
title: Breast arterial calcifications as a biomarker of cardiovascular risk: radiologists' awareness, reporting, and action. A survey among the EUSOBI members

description: Data set from the article Trimboli RM, Capra D, Codari M, Cozzi A, Di Leo G, Sardanelli F. Breast arterial calcifications as a biomarker of cardiovascular risk: radiologists' awareness, reporting, and action. A survey among the EUSOBI members. Eur Radiol. 2021 Feb;31(2):958-966. doi: 10.1007/s00330-020-07136-6. Epub 2020 Aug 27. PMID: 32851451; PMCID: PMC7813731. <strong>Abstract</strong> <strong>Objectives: </strong>To investigate the knowledge of radiologists on breast arterial calcifications (BAC) and attitude about BAC reporting, communication to women, and subsequent action. <strong>Methods: </strong>An online survey was offered to EUSOBI members, with 17 questions focused on demographics, level of experience, clinical setting, awareness of BAC association with cardiovascular risk, mammographic reporting, modality of BAC assessment, and action habits. Descriptive statistics were used. <strong>Results: </strong>Among 1084 EUSOBI members, 378 (34.9%) responded to the survey, 361/378 (95.5%) radiologists, 263 females (69.6%), 112 males (29.6%), and 3 (0.8%) who did not specify their gender. Of 378 respondents, 305 (80.7%) declared to be aware of BAC meaning in terms of cardiovascular risk and 234 (61.9%) to routinely include BAC in mammogram reports, when detected. Excluding one inconsistent answer, simple annotation of BAC presence was declared by 151/233 (64.8%), distinction between low versus extensive BAC burden by 59/233 (25.3%), and usage of an ordinal scale by 22/233 (9.5%) and of a cardinal scale by 1/233 (0.4%). Among these 233 radiologists reporting BAC, 106 (45.5%) declared to orally inform the woman and, in case of severe BAC burden, 103 (44.2%) to investigate cardiovascular history, and 92 (39.5%) to refer the woman to a cardiologist. <strong>Conclusion: </strong>Among EUSOBI respondents, over 80% declared to be aware of BAC cardiovascular meaning and over 60% to include BAC in the report. Qualitative BAC assessment predominates. About 40% of respondents who report on BAC, in the case of severe BAC burden, investigate cardiovascular history and/or refer the woman to a cardiologist.
DOI: 10.5517/ccdc.csd.cc25ktq9
title: CCDC 2013131: Experimental Crystal Structure Determination

description: Related Article: Expédite Yen-Pon, Floris Buttard, Lucas Frédéric, Pierre Thuéry, Frédéric Taran, Grégory Pieters, Pier Alexandre Champagne, Davide Audisio|2021|JACS Au|1|807|doi:10.1021/jacsau.1c00084
DOI: 10.5517/ccdc.csd.cc25ktrb
title: CCDC 2013132: Experimental Crystal Structure Determination

description: Related Article: Expédite Yen-Pon, Floris Buttard, Lucas Frédéric, Pierre Thuéry, Frédéric Taran, Grégory Pieters, Pier Alexandre Champagne, Davide Audisio|2021|JACS Au|1|807|doi:10.1021/jacsau.1c00084
DOI: 10.5517/ccdc.csd.cc25ktsc
title: CCDC 2013133: Experimental Crystal Structure Determination

description: Related Article: Expédite Yen-Pon, Floris Buttard, Lucas Frédéric, Pierre Thuéry, Frédéric Taran, Grégory Pieters, Pier Alexandre Champagne, Davide Audisio|2021|JACS Au|1|807|doi:10.1021/jacsau.1c00084
DOI: 10.5517/ccdc.csd.cc265zr4
title: CCDC 2031546: Experimental Crystal Structure Determination

description: Related Article: Expédite Yen-Pon, Floris Buttard, Lucas Frédéric, Pierre Thuéry, Frédéric Taran, Grégory Pieters, Pier Alexandre Champagne, Davide Audisio|2021|JACS Au|1|807|doi:10.1021/jacsau.1c00084
DOI: 10.5517/ccdc.csd.cc27l455
title: CCDC 2073006: Experimental Crystal Structure Determination

description: Related Article: Shefali Banga, Ramandeep Kaur, Srinivasarao Arulananda Babu|2021|Eur.J.Org.Chem.|2021|3641|doi:10.1002/ejoc.202100683
DOI: 10.5517/ccdc.csd.cc27l466
title: CCDC 2073007: Experimental Crystal Structure Determination

description: Related Article: Shefali Banga, Ramandeep Kaur, Srinivasarao Arulananda Babu|2021|Eur.J.Org.Chem.|2021|3641|doi:10.1002/ejoc.202100683
DOI: 10.5517/ccdc.csd.cc27l444
title: CCDC 2073005: Experimental Crystal Structure Determination

description: Related Article: Shefali Banga, Ramandeep Kaur, Srinivasarao Arulananda Babu|2021|Eur.J.Org.Chem.|2021|3641|doi:10.1002/ejoc.202100683
DOI: 10.5517/ccdc.csd.cc27m300
title: CCDC 2073931: Experimental Crystal Structure Determination

description: Related Article: Subhajit Dutta, Sumanta Let, Mandar M. Shirolkar, Aamod V. Desai, Partha Samanta, Sahel Fajal, Yogeshwar D. More, Sujit K. Ghosh|2021|Dalton Trans.|50|10133|doi:10.1039/D1DT01097B
DOI: 10.5517/ccdc.csd.cc27rq4w
title: CCDC 2078368: Experimental Crystal Structure Determination

description: Related Article: Moritz Balkenhohl, Sebastian Kölbl, Tony Georgiev, Erick M. Carreira|2021|JACS Au|1|919|doi:10.1021/jacsau.1c00176
DOI: 10.5517/ccdc.csd.cc27rq5x
title: CCDC 2078369: Experimental Crystal Structure Determination

description: Related Article: Moritz Balkenhohl, Sebastian Kölbl, Tony Georgiev, Erick M. Carreira|2021|JACS Au|1|919|doi:10.1021/jacsau.1c00176
DOI: 10.5517/ccdc.csd.cc27rq6y
title: CCDC 2078370: Experimental Crystal Structure Determination

description: Related Article: Moritz Balkenhohl, Sebastian Kölbl, Tony Georgiev, Erick M. Carreira|2021|JACS Au|1|919|doi:10.1021/jacsau.1c00176
DOI: 10.5517/ccdc.csd.cc27rq7z
title: CCDC 2078371: Experimental Crystal Structure Determination

description: Related Article: Moritz Balkenhohl, Sebastian Kölbl, Tony Georgiev, Erick M. Carreira|2021|JACS Au|1|919|doi:10.1021/jacsau.1c00176
DOI: 10.5281/zenodo.5139947
title: Scoring of wing wear of peacock butterflies in belgium 2009-2020. Link to original pictures and classification

description: We show per record the assigned classification of the wear. We classified the condition of wear of the upperwings in 12,425 butterflies according to four categories: (1) immaculate: fresh, or with at most one tiny scratch on the upper wings or one minor dent to the wing edges, (2) slightly worn: some scratches on the upper wing and/or small dents to the edges, (3) moderately worn: many scratches to the upper wing and/or dented edges, and (4) heavily worn: (parts with) colors faded and/or heavily dented edges. The categories were chosen to allow the distinction of recently emerged individuals in particular: there is “more wear” between categories 3 and 4 than between the first two. Persistent wear and abrasions with multiple impacts at several spots was given more weight in the classification than a single major incident that resulted in larger parts of the wing missing. Pictures were randomly sorted before being classified by Jos Van Kerckhoven, who worked from a series of reference examples.
DOI: 10.5281/zenodo.5139946
title: Scoring of wing wear of peacock butterflies in belgium 2009-2020. Link to original pictures and classification

description: We show per record the assigned classification of the wear. We classified the condition of wear of the upperwings in 12,425 butterflies according to four categories: (1) immaculate: fresh, or with at most one tiny scratch on the upper wings or one minor dent to the wing edges, (2) slightly worn: some scratches on the upper wing and/or small dents to the edges, (3) moderately worn: many scratches to the upper wing and/or dented edges, and (4) heavily worn: (parts with) colors faded and/or heavily dented edges. The categories were chosen to allow the distinction of recently emerged individuals in particular: there is “more wear” between categories 3 and 4 than between the first two. Persistent wear and abrasions with multiple impacts at several spots was given more weight in the classification than a single major incident that resulted in larger parts of the wing missing. Pictures were randomly sorted before being classified by Jos Van Kerckhoven, who worked from a series of reference examples.
DOI: 10.5281/zenodo.2636706
title: Salinity Yield Modeling Data - Upper Colorado River Basin, Nauman et al

description: The data here were originally posted to facilitate timely and transparent peer review. The final public data release with formal metadata is now available from at the following location: Nauman, T.W., 2019, Salinity yield modeling spatial data for the Upper Colorado River Basin, USA: U.S. Geological Survey data release, https://doi.org/10.5066/P9QSFDJN. Associated publication: Nauman, T. W., Ely, C. P., Miller, M. P., and Duniway, M. C., 2019, Salinity Yield Modeling of the Upper Colorado River Basin Using 30-m Resolution Soil Maps and Random Forests: Water Resources Research, v. 55, no. 6, p. 4954-4973. https://doi.org/10.1029/2018WR024054 This data set was developed for salinity yield modeling in the Upper Colorado River Basin in preparation of the paper "Salinity yield modeling of the Upper Colorado River Basin using 30-meter resolution soil maps and machine learning" that is to be submitted to Water Resources Research. A github repository was also prepared to document the use of this data in the paper, and is available at https://github.com/naumi421/UCRB_Salinity. Please see the included file "README_SalinityYieldModel_documentation_initial_table_ReviewData.docx" for detailed descriptions of all included files. These data are preliminary or provisional and are subject to revision. They are being provided to meet the need for timely best science. The data have not received final approval by the U.S. Geological Survey (USGS) and are provided on the condition that neither the USGS nor the U.S. Government shall be held liable for any damages resulting from the authorized or unauthorized use of the data.
DOI: 10.5281/zenodo.1301274
title: Salinity Yield Modeling Data - Upper Colorado River Basin, Nauman et al

description: The data here were originally posted to facilitate timely and transparent peer review. The final public data release with formal metadata is now available from at the following location: Nauman, T.W., 2019, Salinity yield modeling spatial data for the Upper Colorado River Basin, USA: U.S. Geological Survey data release, https://doi.org/10.5066/P9QSFDJN. Associated publication: Nauman, T. W., Ely, C. P., Miller, M. P., and Duniway, M. C., 2019, Salinity Yield Modeling of the Upper Colorado River Basin Using 30-m Resolution Soil Maps and Random Forests: Water Resources Research, v. 55, no. 6, p. 4954-4973. https://doi.org/10.1029/2018WR024054 This data set was developed for salinity yield modeling in the Upper Colorado River Basin in preparation of the paper "Salinity yield modeling of the Upper Colorado River Basin using 30-meter resolution soil maps and machine learning" that is to be submitted to Water Resources Research. A github repository was also prepared to document the use of this data in the paper, and is available at https://github.com/naumi421/UCRB_Salinity. Please see the included file "README_SalinityYieldModel_documentation_initial_table_ReviewData.docx" for detailed descriptions of all included files. These data are preliminary or provisional and are subject to revision. They are being provided to meet the need for timely best science. The data have not received final approval by the U.S. Geological Survey (USGS) and are provided on the condition that neither the USGS nor the U.S. Government shall be held liable for any damages resulting from the authorized or unauthorized use of the data.
DOI: 10.5281/zenodo.154750
title: Plyomydas species descriptions in SDD format

description: Natural-language species descriptions of Plyomydas species in SDD format exported from Lucid Builder 3.5.
description: {"references": ["Castillo, S. and Dikow, T. 2017. Taxonomic revision of Plyomydas Wilcox and Papavero, 1971 with the description of two new species and its transfer to Mydinae (Insecta: Diptera: Mydidae). Revista Brasileira de Entomologia 61(2): 192\u2013202. doi:10.1016/j.rbe.2017.03.002."]}
DOI: 10.18112/openneuro.ds003504.v1.0.0
title: TODO: name of the dataset
DOI: 10.5281/zenodo.15790
title: Anasillomos species descriptions in SDD format

description: Natural-language species descriptions of <em>Anasillomos</em> species in XML SDD format exported from Lucid Builder 3.5.
description: {"references": ["Dikow, T. 2015. Review of Anasillomos Londt, 1983 with the description of a new species (Insecta: Diptera: Asilidae). Biodiversity Data Journal 3: e4652. doi:10.3897/BDJ.3.e4652"]}
DOI: 10.5281/zenodo.1466156
title: Microphontes species descriptions in SDD format

description: Natural-language species descriptions of Microphontes species in SDD format exported from Lucid Builder 3.5.
description: {"references": ["Markee, A. and Dikow, T., 2018. Taxonomic revision of the assassin-fly genus Microphontes Londt, 1994 (Insecta: Diptera: Asilidae). African Invertebrates 59(2): 195\u2013237. doi: 10.3897/AfrInvertebr.59.30684."]}