cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.17122310.v1
title: Missed opportunities in contraceptive counselling: findings from a European survey-based study with simulated patient consultation

description: Available evidence highlights unmet needs in contraceptive counselling practices. This study aimed to understand current practises and clinician behaviour across Europe. A novel, online approach was used to simulate contraceptive counselling discussions based on three, predefined patient types with a hidden need: poor compliance (patient X), headaches (Y) or desire for a hormone-free option (Z). Clinicians were asked to provide guidance about a contraceptive method for their randomly assigned patient at two time points: (1) after a simulated discussion, (2) after seeing a full patient profile. Descriptive statistical analyses included evaluation of the clinicians’ counselling approach and a change in contraceptive recommendation thereof. Out of 661 clinicians from 10 participating European countries, including obstetricians/gynaecologists, midwives and general practitioners, most failed to uncover patient X and Y’s hidden needs (78.8% and 70.5%, respectively), whereas, 63.4% of clinicians uncovered patient Z’s hidden need. Clinicians who uncovered their patients’ hidden needs asked significantly more questions than those who did not (range of mean, 5.1–7.8 vs 1.5–2.2 respectively). Clinicians were more likely to recommend a change of prescription after seeing the full patient profile than after the simulated discussion (increase in prescription change, range: 12.3–30.2%), indicating that clinicians rely on patients speaking up proactively about any concerns. Insufficient existing counselling practices result in missed opportunities for shared decision-making and discussion. Clinicians and contraceptive counselling services should empower women by introducing more in-depth contraceptive counselling, incorporating clear, open-ended questions, to improve patient adherence and enhance reproductive planning.
DOI: 10.6084/m9.figshare.19635918
title: Supplementary Material for: The Effect of Borderline Pulmonary Hypertension on Survival in Chronic Lung Disease

description: <b><i>Background:</i></b> The impact of the new “borderline” hemodynamic class for pulmonary hypertension (PH) (mean pulmonary artery pressure [mPAP], 21–24 mm Hg and pulmonary vascular resistance, [PVR], ≥3 wood units, [WU]) in chronic obstructive pulmonary disease (COPD) and interstitial lung disease (ILD) is unclear. <b><i>Objectives:</i></b> The aim of this study was to assess the effect of borderline PH (BLPH) on survival in COPD and ILD patients. <b><i>Method:</i></b> Survival was analyzed from retrospective data from 317 patients in 12 centers (Italy, Spain, UK) comparing four hemodynamic groups: the absence of PH (NoPH; mPAP &lt;21 mm Hg or 21–24 mm Hg and PVR &lt;3 WU), BLPH (mPAP 21–24 mm Hg and PVR ≥3 WU), mild-moderate PH (MPH; mPAP 25–35 mm Hg and cardiac index [CI] ≥2 L/min/m<sup>2</sup>), and severe PH (SPH; mPAP ≥35 mm Hg or mPAP ≥25 mm Hg and CI &lt;2 L/min/m<sup>2</sup>). <b><i>Results:</i></b> BLPH affected 14% of patients; hemodynamic severity did not predict survival when COPD and ILD patients were analyzed together. However, survival in the ILD cohort for any PH level was worse than in NoPH (3-year survival: NoPH 58%, BLPH 32%, MPH 28%, SPH 33%, <i>p</i> = 0.002). In the COPD cohort, only SPH had reduced survival compared to the other groups (3-year survival: NoPH 82%, BLPH 86%, MPH 87%, SPH 57%, <i>p</i> = 0.005). The mortality risk correlated significantly with mPAP in ILD (hazard ratio [HR]: 2.776, 95% CI: 2.057–3.748, <i>p</i> &lt; 0.001) and notably less in COPD patients (HR: 1.015, 95% CI: 1.003–1.027, <i>p</i> = 0.0146). <b><i>Conclusions:</i></b> In ILD, any level of PH portends worse survival, while in COPD, only SPH presents a worse outcome.
DOI: 10.6084/m9.figshare.19635918.v1
title: Supplementary Material for: The Effect of Borderline Pulmonary Hypertension on Survival in Chronic Lung Disease

description: <b><i>Background:</i></b> The impact of the new “borderline” hemodynamic class for pulmonary hypertension (PH) (mean pulmonary artery pressure [mPAP], 21–24 mm Hg and pulmonary vascular resistance, [PVR], ≥3 wood units, [WU]) in chronic obstructive pulmonary disease (COPD) and interstitial lung disease (ILD) is unclear. <b><i>Objectives:</i></b> The aim of this study was to assess the effect of borderline PH (BLPH) on survival in COPD and ILD patients. <b><i>Method:</i></b> Survival was analyzed from retrospective data from 317 patients in 12 centers (Italy, Spain, UK) comparing four hemodynamic groups: the absence of PH (NoPH; mPAP &lt;21 mm Hg or 21–24 mm Hg and PVR &lt;3 WU), BLPH (mPAP 21–24 mm Hg and PVR ≥3 WU), mild-moderate PH (MPH; mPAP 25–35 mm Hg and cardiac index [CI] ≥2 L/min/m<sup>2</sup>), and severe PH (SPH; mPAP ≥35 mm Hg or mPAP ≥25 mm Hg and CI &lt;2 L/min/m<sup>2</sup>). <b><i>Results:</i></b> BLPH affected 14% of patients; hemodynamic severity did not predict survival when COPD and ILD patients were analyzed together. However, survival in the ILD cohort for any PH level was worse than in NoPH (3-year survival: NoPH 58%, BLPH 32%, MPH 28%, SPH 33%, <i>p</i> = 0.002). In the COPD cohort, only SPH had reduced survival compared to the other groups (3-year survival: NoPH 82%, BLPH 86%, MPH 87%, SPH 57%, <i>p</i> = 0.005). The mortality risk correlated significantly with mPAP in ILD (hazard ratio [HR]: 2.776, 95% CI: 2.057–3.748, <i>p</i> &lt; 0.001) and notably less in COPD patients (HR: 1.015, 95% CI: 1.003–1.027, <i>p</i> = 0.0146). <b><i>Conclusions:</i></b> In ILD, any level of PH portends worse survival, while in COPD, only SPH presents a worse outcome.
DOI: 10.3886/icpsr23366.v1
title: Uniform Crime Reporting Program Data [United States]: Arrests by Age, Sex, and Race, Summarized Yearly, 1999
title: Version 1

description: These data provide information on the number of arrests reported to the Federal Bureau of Investigation's Uniform Crime Reporting (UCR) Program each year by police agencies in the United States. These arrest reports provide data on 43 offenses including violent crime, drug use, gambling, and larceny. The data received by ICPSR were structured as a hierarchical file containing, per reporting police agency: an agency header record, and 1 to 43 detail offense records containing the counts of arrests by age, sex, and race for a particular offense. ICPSR restructured the original data to logical record length format with the agency header record variables copied onto the detail records. Consequently, each record contains arrest counts for a particular agency-offense.
description: Datasets: DS1: Uniform Crime Reporting Program Data [United States]: Arrests by Age, Sex, and Race, Summarized Yearly, 1999
description: Arrests reported to the Federal Bureau of Investigation's Uniform Crime Reporting program. Smallest Geographic Unit: states, counties, cities
description: computer-assisted self interview (CASI); on-site questionnaire
DOI: 10.5281/zenodo.5139602
title: Datasets for the comparison between POC estimated from BGC-Argo floats and PISCES model simulations

description: This dataset is composed of two main folders. <strong>clim_3D</strong>: contains 4 files in 3 directories: BGC-Argo/bbp700_nemo_clim.nc: global monthly climatology of BGC-Argo b<sub>bp700</sub> measurements on the ORCA2_L31 NEMO grid. BGC-Argo/bbp700_nemo_climseas.nc: seasonal climatology (JFM, ...OND) of BGC-Argo b<sub>bp700</sub> measurements on the ORCA2_L31 NEMO grid. biomes/nemobiomes.nc: biomes of Fay and McKinley 2014 (ESSD) reprojected onto the ORCA2_L31 NEMO grid. PISCES/PISCES_1m_19600101_19601231_ptrc_T.nc: PISCES tracers (living organisms and detrial organic carbon), monthly climatology based on pre-industrial simulation described by Aumont et al. 2017 (Biogeosciences). <strong>CATS_1D:</strong> contains 66 folders. The folders are named as &lt;fwmo&gt;_&lt;yyyy&gt;_&lt;orca1cell&gt;, where fwmo = World Meteorological Organization (WMO) float number yyyy = year orca1cell = number of the NEMO model horizontal grid cell (ORCA1 grid) used to run the PISCES 1D offline simulation. Each folder contains: BGC-Argo observations for a given Argo float and year, bined onto the model vertical grid and 5-day peiods: 'Mprof*.nc' Dynamical fields used to run PISCES 1D offline simulations: 'dyna_grid_T.nc' Output of the simulations: PISCES tracers at 5-day resolution: 'PISCES_5d_*_ptrc_T.nc' List of horizontal model grid cells that were visited by the Argo float on a given year: 'xymatch_&lt;fwmo&gt;.csv'. If the list is queried for the grid cell number &lt;orca1cell&gt;, one can obtain the corresponding longitude (xmap), latitude (ymap), and the x and y indices of the grid (plus/minus 1). These indices correspond to the 3x3 horizontal grid of the dynamical fields and the PISCES 1D output.
description: This dataset corresponds to the article "Bridging the gaps between particulate backscattering measurements and modeled particulate organic carbon in the ocean', submitted to Biogeosciences on 28 July 2021 (bg-2021-201). Please, cite the related preprint or accepted article once they are available.
DOI: 10.5281/zenodo.5139601
title: Datasets for the comparison between POC estimated from BGC-Argo floats and PISCES model simulations

description: This dataset is composed of two main folders. <strong>clim_3D</strong>: contains 4 files in 3 directories: BGC-Argo/bbp700_nemo_clim.nc: global monthly climatology of BGC-Argo b<sub>bp700</sub> measurements on the ORCA2_L31 NEMO grid. BGC-Argo/bbp700_nemo_climseas.nc: seasonal climatology (JFM, ...OND) of BGC-Argo b<sub>bp700</sub> measurements on the ORCA2_L31 NEMO grid. biomes/nemobiomes.nc: biomes of Fay and McKinley 2014 (ESSD) reprojected onto the ORCA2_L31 NEMO grid. PISCES/PISCES_1m_19600101_19601231_ptrc_T.nc: PISCES tracers (living organisms and detrial organic carbon), monthly climatology based on pre-industrial simulation described by Aumont et al. 2017 (Biogeosciences). <strong>CATS_1D:</strong> contains 66 folders. The folders are named as &lt;fwmo&gt;_&lt;yyyy&gt;_&lt;orca1cell&gt;, where fwmo = World Meteorological Organization (WMO) float number yyyy = year orca1cell = number of the NEMO model horizontal grid cell (ORCA1 grid) used to run the PISCES 1D offline simulation. Each folder contains: BGC-Argo observations for a given Argo float and year, bined onto the model vertical grid and 5-day peiods: 'Mprof*.nc' Dynamical fields used to run PISCES 1D offline simulations: 'dyna_grid_T.nc' Output of the simulations: PISCES tracers at 5-day resolution: 'PISCES_5d_*_ptrc_T.nc' List of horizontal model grid cells that were visited by the Argo float on a given year: 'xymatch_&lt;fwmo&gt;.csv'. If the list is queried for the grid cell number &lt;orca1cell&gt;, one can obtain the corresponding longitude (xmap), latitude (ymap), and the x and y indices of the grid (plus/minus 1). These indices correspond to the 3x3 horizontal grid of the dynamical fields and the PISCES 1D output.
description: This dataset corresponds to the article "Bridging the gaps between particulate backscattering measurements and modeled particulate organic carbon in the ocean', submitted to Biogeosciences on 28 July 2021 (bg-2021-201). Please, cite the related preprint or accepted article once they are available.
DOI: 10.5517/ccdc.csd.cc29gpk1
title: CCDC 2129283: Experimental Crystal Structure Determination

description: Related Article: R. Jenifer Muñoz-Gómez, Isabel Rivero-Cruz, Berenice Ovalle-Magallanes, Edelmira Linares, Robert Bye, Armando R. Tovar, Lilia G. Noriega, Claudia Tovar-Palacio, Rachel Mata|2022|ACS Omega|7|13144|doi:10.1021/acsomega.2c00595
DOI: 10.3886/icpsr23441.v1
title: Uniform Crime Reporting Program Data [United States]: Hate Crime Data, 2005 [Record-Type Files]
title: Version 1

description: In response to a growing concern about hate crimes, the United States Congress enacted the Hate Crime Statistics Act of 1990. The Act requires the attorney general to establish guidelines and collect, as part of the Uniform Crime Reporting (UCR) Program, data "about crimes that manifest evidence of prejudice based on race, religion, sexual orientation, or ethnicity, including where appropriate the crimes of murder and non-negligent manslaughter, forcible rape, aggravated assault, simple assault, intimidation, arson, and destruction, damage or vandalism of property." Hate crime data collection was required by the Act to begin in calendar year 1990 and to continue for four successive years. In September 1994, the Violent Crime Control and Law Enforcement Act amended the Hate Crime Statistics Act to add disabilities, both physical and mental, as factors that could be considered a basis for hate crimes. Although the Act originally mandated data collection for five years, the Church Arson Prevention Act of 1996 amended the collection duration "for each calendar year," making hate crime statistics a permanent addition to the UCR program. As with the other UCR data, law enforcement agencies contribute reports either directly or through their state reporting programs. Information contained in the data includes number of victims and offenders involved in each hate crime incident, type of victims, bias motivation, offense type, and location type.
description: Datasets: DS0: Study-Level Files DS1: Batch Header File DS2: Incident Record File
description: Hate crime incidents reported by law enforcement agencies in the United States. Smallest Geographic Unit: State, county, and jurisdiction
description: self-enumerated questionnaireThe original hierarchical file has been split into two files: a Batch Header File and an Incident Record File. The Batch Header File contains a record for each law enforcement agency whether or not they reported an incident. The Batch Header File variables are merged into the Incident Record File for those agencies that reported an incident.Each victim-type variable has been split into eight separate flag variables to record each victim type. Previously, the variables were eight-character strings that contained the first letter of each victim type in any order.
DOI: 10.7910/dvn/ibxprb
title: Infant (under the age of 1) mortality (per 1000 live births) in the Baltic countries, 1919-1939 = Kūdikių (iki 1 metų amžiaus) mirtingumas (1 tūkstančiui gyvų gimusių kūdikių) Baltijos šalyse, 1919-1939 m.

description: This dataset contains data on infant (under the age of 1) mortality (per 1000 live births) in Estonia, Latvia and Lithuania in 1919-1939. Dataset "Infant (under the age of 1) mortality (per 1000 live births) In Baltic countries, 1919-1939" was published implementing project "Historical Sociology of Modern Restorations: a Cross-Time Comparative Study of Post-Communist Transformation in the Baltic States" from 2018 to 2022. Project leader is prof. Zenonas Norkus. Project is funded by the European Social Fund according to the activity "Improvement of researchers` qualification by implementing world-class R&D projects of Measure No. 09.3.3-LMT-K-712". Šiame duomenų rinkinyje pateikiamas kūdikių (iki 1 metų amžiaus) mirtingumas (1 tūkstančiui gyvų gimusių kūdikių) Estijoje, Latvijoje ir Lietuvoje 1919-1939 metais. Duomenų rinkinys "Kūdikių (iki 1 metų amžiaus) mirtingumas (1 tūkstančiui gyvų gimusių kūdikių) Baltijos šalyse, 1919-1939 m." publikuotas įgyvendinant projektą "Moderniųjų restauracijų istorinė sociologija: diachroniškai lyginamasis Baltijos valstybių pokomunistinės transformacijos tyrimas", kurio trukmė 2018-2022 m. Projekto vadovas yra prof. Zenonas Norkus. Projektas finansuojamas Europos socialinio fondo lėšomis pagal priemonės Nr. 09.3.3-LMT-K-712 veiklą "Mokslininkų kvalifikacijos tobulinimas vykdant aukšto lygio MTEP projektus". Visit Shiny application (look for "Alternative URL" field under the "Metadata" tab) for data browsing and visualization.
DOI: 10.5281/zenodo.4017209
title: Atmospheric deposition fields of nutrients (N, Fe, and P)

description: Past (1850), present (2010), and future projected (2010) atmospheric nutrient deposition data used in PISCES simulations for the publication: Myriokefalitakis, S., Gröger, M., Hieronymus, J., and Döscher, R.: An explicit estimate of the atmospheric nutrient impact on global oceanic productivity, Ocean Sci. Discuss., https://doi.org/10.5194/os-2020-27, in review, 2020.
description: {"references": ["Myriokefalitakis, S., Gr\u00f6ger, M., Hieronymus, J., and D\u00f6scher, R.: An explicit estimate of the atmospheric nutrient impact on global oceanic productivity, Ocean Sci. Discuss., https://doi.org/10.5194/os-2020-27, in review, 2020", "Myriokefalitakis, S., Daskalakis, N., Mihalopoulos, N., Baker, A. R., Nenes, A. and Kanakidou, M.: Changes in dissolved iron deposition to the oceans driven by human activity: a 3-D global modelling study, Biogeosciences, 12(13), 3973\u20133992, doi:10.5194/bg-12-3973-2015, 2015.", "Myriokefalitakis, S., Nenes, A., Baker, A. R. A. R., Mihalopoulos, N. and Kanakidou, M.: Bioavailable atmospheric phosphorous supply to the global ocean: a 3-D global modeling study, Biogeosciences, 13(24), 6519\u20136543, doi:10.5194/bg-13-6519-2016, 2016.", "Myriokefalitakis, S., Ito, A., Kanakidou, M., Nenes, A., Krol, M. C., Mahowald, N. M., Scanza, R. A., Hamilton, D. S., Johnson, M. S., Meskhidze, N., Kok, J. F., Guieu, C., Baker, A. R., Jickells, T. D., Sarin, M. M., Bikkina, S., Shelley, R., Bowie, A., Perron, M. M. G. and Duce, R. A.: Reviews and syntheses: the GESAMP atmospheric iron deposition model intercomparison study, Biogeosciences, 15(21), 6659\u20136684, doi:10.5194/bg-15-6659-2018, 2018.", "Kanakidou, M., Myriokefalitakis, S. and Tsagkaraki, M.: Atmospheric inputs of nutrients to the Mediterranean Sea, Deep Sea Res. Part II Top. Stud. Oceanogr., 171, 104606, doi:10.1016/j.dsr2.2019.06.014, 2020."]}
DOI: 10.5281/zenodo.4017208
title: Atmospheric deposition fields of nutrients (N, Fe, and P)

description: Past (1850), present (2010), and future projected (2010) atmospheric nutrient deposition data used in PISCES simulations for the publication: Myriokefalitakis, S., Gröger, M., Hieronymus, J., and Döscher, R.: An explicit estimate of the atmospheric nutrient impact on global oceanic productivity, Ocean Sci. Discuss., https://doi.org/10.5194/os-2020-27, in review, 2020.
description: {"references": ["Myriokefalitakis, S., Gr\u00f6ger, M., Hieronymus, J., and D\u00f6scher, R.: An explicit estimate of the atmospheric nutrient impact on global oceanic productivity, Ocean Sci. Discuss., https://doi.org/10.5194/os-2020-27, in review, 2020", "Myriokefalitakis, S., Daskalakis, N., Mihalopoulos, N., Baker, A. R., Nenes, A. and Kanakidou, M.: Changes in dissolved iron deposition to the oceans driven by human activity: a 3-D global modelling study, Biogeosciences, 12(13), 3973\u20133992, doi:10.5194/bg-12-3973-2015, 2015.", "Myriokefalitakis, S., Nenes, A., Baker, A. R. A. R., Mihalopoulos, N. and Kanakidou, M.: Bioavailable atmospheric phosphorous supply to the global ocean: a 3-D global modeling study, Biogeosciences, 13(24), 6519\u20136543, doi:10.5194/bg-13-6519-2016, 2016.", "Myriokefalitakis, S., Ito, A., Kanakidou, M., Nenes, A., Krol, M. C., Mahowald, N. M., Scanza, R. A., Hamilton, D. S., Johnson, M. S., Meskhidze, N., Kok, J. F., Guieu, C., Baker, A. R., Jickells, T. D., Sarin, M. M., Bikkina, S., Shelley, R., Bowie, A., Perron, M. M. G. and Duce, R. A.: Reviews and syntheses: the GESAMP atmospheric iron deposition model intercomparison study, Biogeosciences, 15(21), 6659\u20136684, doi:10.5194/bg-15-6659-2018, 2018.", "Kanakidou, M., Myriokefalitakis, S. and Tsagkaraki, M.: Atmospheric inputs of nutrients to the Mediterranean Sea, Deep Sea Res. Part II Top. Stud. Oceanogr., 171, 104606, doi:10.1016/j.dsr2.2019.06.014, 2020."]}
DOI: 10.5281/zenodo.3613665
title: They Came From The Pacific: How changing Arctic currents could contribute to an ecological regime shift in the Atlantic Ocean - Lagrangian Data 1990-2002 (2 of 2)

description: Supporting data for Kelly et al.: They Came From The Pacific: How changing Arctic currents could contribute to an ecological regime shift in the Atlantic Ocean (Earth's Future, submitted)<br> <br> Trajectories saved by year of release in the Bering Strait. All months from that year are included in the same file, with the first 1000 trajectories corresponding to January release, second 1000 from February release, and so on. <br> <br> Due to the size of files, this is split into two uploads. Part 1 covers 1970-1989 releases, 1990 onward is saved in Part 2.
DOI: 10.5281/zenodo.3613664
title: They Came From The Pacific: How changing Arctic currents could contribute to an ecological regime shift in the Atlantic Ocean - Lagrangian Data 1990-2002 (2 of 2)

description: Supporting data for Kelly et al.: They Came From The Pacific: How changing Arctic currents could contribute to an ecological regime shift in the Atlantic Ocean (Earth's Future, submitted)<br> <br> Trajectories saved by year of release in the Bering Strait. All months from that year are included in the same file, with the first 1000 trajectories corresponding to January release, second 1000 from February release, and so on. <br> <br> Due to the size of files, this is split into two uploads. Part 1 covers 1970-1989 releases, 1990 onward is saved in Part 2.
DOI: 10.5281/zenodo.3612713
title: They Came From The Pacific: How changing Arctic currents could contribute to an ecological regime shift in the Atlantic Ocean - Lagrangian Data 1970-1989 (1 of 2)

description: Supporting data for Kelly et al.: They Came From The Pacific: How changing Arctic currents could contribute to an ecological regime shift in the Atlantic Ocean (Earth's Future, submitted)<br> <br> Trajectories saved by year of release in the Bering Strait. All months from that year are included in the same file, with the first 1000 trajectories corresponding to January release, second 1000 from February release, and so on. <br> <br> Due to the size of files, this is split into two uploads. Part 1 covers 1970-1989 releases, 1990 onward is saved in Part 2.
DOI: 10.5281/zenodo.3612712
title: They Came From The Pacific: How changing Arctic currents could contribute to an ecological regime shift in the Atlantic Ocean - Lagrangian Data 1970-1989 (1 of 2)

description: Supporting data for Kelly et al.: They Came From The Pacific: How changing Arctic currents could contribute to an ecological regime shift in the Atlantic Ocean (Earth's Future, submitted)<br> <br> Trajectories saved by year of release in the Bering Strait. All months from that year are included in the same file, with the first 1000 trajectories corresponding to January release, second 1000 from February release, and so on. <br> <br> Due to the size of files, this is split into two uploads. Part 1 covers 1970-1989 releases, 1990 onward is saved in Part 2.
DOI: 10.34740/kaggle/dsv/3509934
title: YouTube Trending Video Dataset (updated daily)
DOI: 10.5281/zenodo.3355519
title: Insights into the Major Processes Driving the Global Distribution of Copper in the Ocean from a Global Model

description: Annual output netcdf output file of the NEMO/PISCES Cu model on the ORCA2 grid. Reference simulation described and discussed in Richon, C. and Tagliabue, A. Insights into the Major Processes Driving the Global Distribution of Copper in the Ocean from a Global Model, Global Biogeochemical Cycles, 2019
DOI: 10.5281/zenodo.3355518
title: Insights into the Major Processes Driving the Global Distribution of Copper in the Ocean from a Global Model

description: Annual output netcdf output file of the NEMO/PISCES Cu model on the ORCA2 grid. Reference simulation described and discussed in Richon, C. and Tagliabue, A. Insights into the Major Processes Driving the Global Distribution of Copper in the Ocean from a Global Model, Global Biogeochemical Cycles, 2019