cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.13849964.v1
title: Equity in Academia: Supporting Material collected through a workshop at Oxford University (September 2019)

description: These files comprise material collected through an 'Equity in Academia' workshop, convened by the Nuffield Department of Medicine at the University of Oxford in September 2019.<br>The pdf file 'EIA supplementary data' contains qualitative information collected from meeting delegates, before, during and after the workshop.<br>The jpeg files are visual representations of the day's events, summarising themes and discussions. Artwork produced by Alex Hughes at Drawnalism (https://drawnalism.com/), posted with permission.
DOI: 10.34740/kaggle/dsv/1855
title: My Uber Drives
DOI: 10.34740/kaggle/dsv/7596
title: Paradise-Panama-Papers
DOI: 10.25405/data.ncl.14652723
title: XRD srtio3 & tio2

description: XRD of different kinds of SrTiO3 pastes
DOI: 10.25405/data.ncl.14652816
title: profilometry, UV-Vis, paste recipes

description: UV-vis, profilometry results & paste recipes used for the preject
DOI: 10.25405/data.ncl.14652816.v1
title: profilometry, UV-Vis, paste recipes

description: UV-vis, profilometry results & paste recipes used for the preject
DOI: 10.34740/kaggle/dsv/8659
title: Pakistan Suicide Bombing Attacks
DOI: 10.6084/m9.figshare.14696223
title: anexo_D1.pdf

description: Listado de documentos consultados para el artículo "Docencia online para estudiantes con diversidad funcional en el contexto de la COVID-19".
DOI: 10.6084/m9.figshare.14696223.v1
title: anexo_D1.pdf

description: Listado de documentos consultados para el artículo "Docencia online para estudiantes con diversidad funcional en el contexto de la COVID-19".
DOI: 10.6084/m9.figshare.14696226
title: anexo_E.pdf

description: Listado de servicios de atención a la diversidad, de las universidades públicas españolas, consultados para el artículo "Docencia online para estudiantes con diversidad funcional en el contexto de la COVID-19".
DOI: 10.6084/m9.figshare.14696226.v1
title: anexo_E.pdf

description: Listado de servicios de atención a la diversidad, de las universidades públicas españolas, consultados para el artículo "Docencia online para estudiantes con diversidad funcional en el contexto de la COVID-19".
DOI: 10.6084/m9.figshare.14696229
title: anexo_D3.pdf

description: Listado de documentos de las universidades públicas españolas con información en abierto en sus webs, recibidos como respuesta al correo de los investigadores, para el artículo "Docencia online para estudiantes con diversidad funcional en el contexto de la COVID-19".
DOI: 10.6084/m9.figshare.14696229.v1
title: anexo_D3.pdf

description: Listado de documentos de las universidades públicas españolas con información en abierto en sus webs, recibidos como respuesta al correo de los investigadores, para el artículo "Docencia online para estudiantes con diversidad funcional en el contexto de la COVID-19".
DOI: 10.6084/m9.figshare.14696241
title: anexo_D2.pdf

description: Listado de documentos de las universidades públicas españolas sin información en abierto en sus webs, recibidos como respuesta al correo de los investigadores, para el artículo "Docencia online para estudiantes con diversidad funcional en el contexto de la COVID-19".
DOI: 10.6084/m9.figshare.14696241.v1
title: anexo_D2.pdf

description: Listado de documentos de las universidades públicas españolas sin información en abierto en sus webs, recibidos como respuesta al correo de los investigadores, para el artículo "Docencia online para estudiantes con diversidad funcional en el contexto de la COVID-19".
DOI: 10.6084/m9.figshare.14696247
title: anexo_B.pdf

description: Correo de los investigadores con la petición de información a las universidades públicas para el artículo "Docencia online para estudiantes con diversidad funcional en el contexto de la COVID-19".
DOI: 10.6084/m9.figshare.14696247.v1
title: anexo_B.pdf

description: Correo de los investigadores con la petición de información a las universidades públicas para el artículo "Docencia online para estudiantes con diversidad funcional en el contexto de la COVID-19".
DOI: 10.34740/kaggle/dsv/2280019
title: 2021 World Population (updated daily)
DOI: 10.34740/kaggle/dsv/8660
title: Pakistan Drone Attacks
DOI: 10.6084/m9.figshare.14696250
title: anexo_A.pdf

description: Listado de universidades públicas españolas extraída del Sistema Universitario Español (España, 2020).<br>
DOI: 10.6084/m9.figshare.14696250.v1
title: anexo_A.pdf

description: Listado de universidades públicas españolas extraída del Sistema Universitario Español (España, 2020).<br>
DOI: 10.6084/m9.figshare.14696253
title: anexo_C.pdf

description: Correo de los investigadores con la petición de información a las universidades públicas para el artículo "Docencia online para estudiantes con diversidad funcional en el contexto de la COVID-19".
DOI: 10.6084/m9.figshare.14696253.v1
title: anexo_C.pdf

description: Correo de los investigadores con la petición de información a las universidades públicas para el artículo "Docencia online para estudiantes con diversidad funcional en el contexto de la COVID-19".
DOI: 10.34740/kaggle/dsv/2280029
title: COVID Vaccination in World (updated daily)
DOI: 10.15468/b6nfb6
title: Messinian rodents from Moncucco Torinese, NW Italy: palaeobiodiversity and biochronology

description: This dataset contains the digitized treatments in Plazi based on the original journal article Colombero, Simone, Pavia, Giulio, Carnevale, Giorgio (2014): Messinian rodents from Moncucco Torinese, NW Italy: palaeobiodiversity and biochronology. Geodiversitas 36 (3): 421-475, DOI: 10.5252/g2014n3a4, URL: http://dx.doi.org/10.5252/g2014n3a4
DOI: 10.5523/bris.1vj7fcw8m7gzl2uo35fsb3l4zn
title: Pump and Vibe 2021

description: Data to support paper: Alice Haynes, Jonathan Lawry, Christopher Kent, Jonathan Rossiter FeelMusic: Enriching Our Emotive Experience of Music Through Audio-Tactile Mappings, Multimodal Technologies and Interaction, 2021
DOI: 10.6084/m9.figshare.14687055
title: Analysis of interaction risks of patients with polypharmacy and the pharmacist interventions performed to solve them – a multicenter descriptive study according to medication reviews in Hungarian community pharmacies.

description: The study was a multicenter descriptive study carried out in Hungarian community pharmacies. The project was carried out between October 2017 and March 2018.The research was carried out in the framework of the training of specialist pharmacists at Semmelweis University.<br>The patients enrolled had to participate in pharmacist consultations monthly for 3 months, in which they took part in a medication review by the pharmacists participating in the study. During the consultations, pharmacists carried out medication reviews on the patients' entire drug list<i>.</i> If no problems were found, they dispensed the medications. In the event of a DRP detected by the pharmacist, a pharmacist intervention was carried out: the GP of the patient was informed, or the problem was solved independently, on the pharmacist’s authority. The DRPs detected were categorized by pharmacists and then recorded in an electronic data table prepared by the authors. At the same time, pharmacist intervention to solve the DRP was also recorded. The system used to classify the detected DRPs divides the problems into six groups. In addition to the six groups, the classification system also identifies the possible underlying causes of a particular drug-related problem. The first consultation was followed by at least two further face-to-face meetings monthly during the project.<br>From the data collected by pharmacists, the authors determined the amount of DRPs and interaction risks per capita and the percentage of each DRP category and underlying cause in proportion to the total DRP.During the medication review, in addition to the fact of interaction risks, pharmacists wrote down the active substances involved in the particular interactions and recorded the pharmacist intervention(s). We determined the incidence rate of each active substance. Interaction risks were grouped from two perspectives:1. Prescribing and dispensing category of the medicine, that is, which healthcare professional is competent to provide the necessary intervention and a complete solution.The clinical risk of the interaction based on the UpToDate Lexicomp® interaction database.Interventions to address the DRPs revealed during the medication review were recorded by pharmacists on the electronic data collection sheet. The pharmacist interventions described to address the identified interactions were grouped. More than one intervention may have been necessary to solve one DRP. During the project, pharmacists used a table summarizing the full medication of the patient, which could indicate the current problem (eg interaction and its severity, and related warning), in addition, pharmacists provided patients with written leaflets summarizing the general rules of medication and placed a counseling poster in pharmacies.<br>
DOI: 10.6084/m9.figshare.14687055.v2
title: Analysis of interaction risks of patients with polypharmacy and the pharmacist interventions performed to solve them – a multicenter descriptive study according to medication reviews in Hungarian community pharmacies.

description: The study was a multicenter descriptive study carried out in Hungarian community pharmacies. The project was carried out between October 2017 and March 2018.The research was carried out in the framework of the training of specialist pharmacists at Semmelweis University.<br>The patients enrolled had to participate in pharmacist consultations monthly for 3 months, in which they took part in a medication review by the pharmacists participating in the study. During the consultations, pharmacists carried out medication reviews on the patients' entire drug list<i>.</i> If no problems were found, they dispensed the medications. In the event of a DRP detected by the pharmacist, a pharmacist intervention was carried out: the GP of the patient was informed, or the problem was solved independently, on the pharmacist’s authority. The DRPs detected were categorized by pharmacists and then recorded in an electronic data table prepared by the authors. At the same time, pharmacist intervention to solve the DRP was also recorded. The system used to classify the detected DRPs divides the problems into six groups. In addition to the six groups, the classification system also identifies the possible underlying causes of a particular drug-related problem. The first consultation was followed by at least two further face-to-face meetings monthly during the project.<br>From the data collected by pharmacists, the authors determined the amount of DRPs and interaction risks per capita and the percentage of each DRP category and underlying cause in proportion to the total DRP.During the medication review, in addition to the fact of interaction risks, pharmacists wrote down the active substances involved in the particular interactions and recorded the pharmacist intervention(s). We determined the incidence rate of each active substance. Interaction risks were grouped from two perspectives:1. Prescribing and dispensing category of the medicine, that is, which healthcare professional is competent to provide the necessary intervention and a complete solution.The clinical risk of the interaction based on the UpToDate Lexicomp® interaction database.Interventions to address the DRPs revealed during the medication review were recorded by pharmacists on the electronic data collection sheet. The pharmacist interventions described to address the identified interactions were grouped. More than one intervention may have been necessary to solve one DRP. During the project, pharmacists used a table summarizing the full medication of the patient, which could indicate the current problem (eg interaction and its severity, and related warning), in addition, pharmacists provided patients with written leaflets summarizing the general rules of medication and placed a counseling poster in pharmacies.<br>
DOI: 10.6084/m9.figshare.14687055.v1
title: Analysis of interaction risks of patients with polypharmacy and the pharmacist interventions performed to solve them – a multicenter descriptive study according to medication reviews in Hungarian community pharmacies.

description: The study was a multicenter descriptive study carried out in Hungarian community pharmacies. The project was carried out between October 2017 and March 2018.The research was carried out in the framework of the training of specialist pharmacists at Semmelweis University.<br>The patients enrolled had to participate in pharmacist consultations monthly for 3 months, in which they took part in a medication review by the pharmacists participating in the study. During the consultations, pharmacists carried out medication reviews on the patients' entire drug list<i>.</i> If no problems were found, they dispensed the medications. In the event of a DRP detected by the pharmacist, a pharmacist intervention was carried out: the GP of the patient was informed, or the problem was solved independently, on the pharmacist’s authority. The DRPs detected were categorized by pharmacists and then recorded in an electronic data table prepared by the authors. At the same time, pharmacist intervention to solve the DRP was also recorded. The system used to classify the detected DRPs divides the problems into six groups. In addition to the six groups, the classification system also identifies the possible underlying causes of a particular drug-related problem. The first consultation was followed by at least two further face-to-face meetings monthly during the project.<br>From the data collected by pharmacists, the authors determined the amount of DRPs and interaction risks per capita and the percentage of each DRP category and underlying cause in proportion to the total DRP.During the medication review, in addition to the fact of interaction risks, pharmacists wrote down the active substances involved in the particular interactions and recorded the pharmacist intervention(s). We determined the incidence rate of each active substance. Interaction risks were grouped from two perspectives:1. Prescribing and dispensing category of the medicine, that is, which healthcare professional is competent to provide the necessary intervention and a complete solution.The clinical risk of the interaction based on the UpToDate Lexicomp® interaction database.Interventions to address the DRPs revealed during the medication review were recorded by pharmacists on the electronic data collection sheet. The pharmacist interventions described to address the identified interactions were grouped. More than one intervention may have been necessary to solve one DRP. During the project, pharmacists used a table summarizing the full medication of the patient, which could indicate the current problem (eg interaction and its severity, and related warning), in addition, pharmacists provided patients with written leaflets summarizing the general rules of medication and placed a counseling poster in pharmacies.<br>
DOI: 10.34740/kaggle/dsv/2280120
title: 2021 World Population (updated daily)
DOI: 10.26126/intervals.7ynffs
title: Aerosol constituents measurement [Individual measurements]

description: This dataset was generated in an in vivo systems toxicology study where the impact of exposure to cigarette smoke and e-vapor aerosols on the cardiovascular and respiratory systems of ApoE -/-mice was studied. 
The concentrations of different aerosol constituents were determined in the atmosphere of the exposure system. 
This dataset contains the measurement for each analyte and each tissue insert.
DOI: 10.26126/intervals.nna6tz
title: Aerosol uptake and exposure (Biomarkers in the plasma) [Individual measurements]

description: This dataset was generated in an in vivo systems toxicology study where the impact of exposure to cigarette smoke and e-vapor aerosols on the cardiovascular and respiratory systems of ApoE -/-mice was studied.
The concentrations of selected biomarkers (cotinine, MDA, nicotine, and propylene glycol) were quantified in mouse plasma following exposure.
This dataset includes single measurements for each sample.
DOI: 10.26126/intervals.77djp8
title: Aerosol uptake and exposure (Carboxyhemoglobin) [Individual measurements]

description: This dataset was generated in an in vivo systems toxicology study where the impact of exposure to cigarette smoke and e-vapor aerosols on the cardiovascular and respiratory systems of ApoE -/-mice was studied.
The concentration of COHb was measured in mouse blood following exposure.
This dataset includes single measurements for each sample.
DOI: 10.26126/intervals.54cflf
title: Aerosol uptake and exposure (Eicosanoids) [Individual measurements]

description: This dataset was generated in an in vivo systems toxicology study where the impact of exposure to cigarette smoke and e-vapor aerosols on the cardiovascular and respiratory systems of ApoE -/-mice was studied.
The concentrations of selected biomarkers of oxidative stress were quantified in mouse urine following exposure.
This dataset includes single measurements for each sample.
DOI: 10.26126/intervals.n8ar4a
title: Aerosol uptake and exposure (HPHCs) [Individual measurements]

description: This dataset was generated in an in vivo systems toxicology study where the impact of exposure to cigarette smoke and e-vapor aerosols on the cardiovascular and respiratory systems of ApoE -/-mice was studied.
The concentrations of selected biomarkers (HPHCs) were quantified in mouse urine following exposure.
This dataset includes single measurements for each sample.
DOI: 10.26126/intervals.8luezl
title: Aerosol uptake and exposure (Nicotine metabolites) [Individual measurements]

description: This dataset was generated in an in vivo systems toxicology study where the impact of exposure to cigarette smoke and e-vapor aerosols on the cardiovascular and respiratory systems of ApoE -/-mice was studied.
The concentrations of nicotine metabolites were quantified in mouse urine following exposure.
This dataset includes single measurements for each sample.
DOI: 10.26126/intervals.evd2bd
title: Bone biomechanics measurements [Individual measurements]

description: This dataset was generated in an in vivo systems toxicology study where the impact of exposure to cigarette smoke and e-vapor aerosols on the bone and the cardiovascular and respiratory systems of ApoE -/-mice was studied.
The biomechanical properties of intact left tibiae were assessed (three-point bending test, ultimate load, stiffness, work to fracture, and post-yield displacement).
This dataset includes single measurements for each sample.
DOI: 10.26126/intervals.xhr2xu
title: Bone general characteristics [Individual measurements]

description: This dataset was generated in an in vivo systems toxicology study where the impact of exposure to cigarette smoke and e-vapor aerosols on the bone and the cardiovascular and respiratory systems of ApoE -/-mice was studied.
Tibia length was measured from X-ray images acquired by using an X-ray Bucky table (BuckyDiagnost CS Optimus, Philips, Hamburg, Germany) and the bone weight was measured by using the Kern ABJ scale (Kern & Sohn GmbH, Balingen, Germany).
This dataset includes single measurements for each sample.
DOI: 10.26126/intervals.xqpll3
title: Bone structure micro-CT measurements [Individual measurements]

description: This dataset was generated in an in vivo systems toxicology study where the impact of exposure to cigarette smoke and e-vapor aerosols on the bone and the cardiovascular and respiratory systems of ApoE -/-mice was studied.
The overall morphology of the total bone, as well as the midshaft cortical area, was evaluated using a Scanco µCT 80 system (Scanco Medical, Bassersdorf, Switzerland).
This dataset includes single measurements for each sample.
DOI: 10.26126/intervals.xo84ly
title: Clinical chemistry measurements (Liver) [Individual measurements]

description: This dataset was generated in an in vivo systems toxicology study where the impact of exposure to cigarette smoke and e-vapor aerosols on the cardiovascular and respiratory systems of ApoE -/-mice was studied.
The concentrations of alanine aminotransferase, alkaline phosphatase, and aspartate aminotransferase were quantified following exposure.
This dataset includes single measurements for each sample.
DOI: 10.26126/intervals.8latbz
title: Clinical chemistry measurements (Muscle) [Individual measurements]

description: This dataset was generated in an in vivo systems toxicology study where the impact of exposure to cigarette smoke and e-vapor aerosols on the cardiovascular and respiratory systems of ApoE -/-mice was studied.
The concentrations of creatinine in the urine and in the sereum were quantified following exposure.
This dataset includes single measurements for each sample.
DOI: 10.26126/intervals.pz23h4
title: Clinical chemistry measurements (Proteins) [Individual measurements]

description: This dataset was generated in an in vivo systems toxicology study where the impact of exposure to cigarette smoke and e-vapor aerosols on the cardiovascular and respiratory systems of ApoE -/-mice was studied.
The concentrations of proteins was quantified following exposure.
This dataset includes single measurements for each sample.
DOI: 10.26126/intervals.t5cru4
title: Clinical chemistry measurements (Total bilirubin) [Individual measurements]

description: This dataset was generated in an in vivo systems toxicology study where the impact of exposure to cigarette smoke and e-vapor aerosols on the cardiovascular and respiratory systems of ApoE -/-mice was studied.
Total bilirubin was quantified following exposure.
This dataset includes single measurements for each sample.
DOI: 10.26126/intervals.o6v7gg
title: General condition and health (group level) [Individual measurements]

description: This dataset was generated in an in vivo systems toxicology study where the impact of exposure to cigarette smoke and e-vapor aerosols on the cardiovascular and respiratory systems of ApoE -/-mice was studied.
The general condition and health (e.g., body weight) at the group level was evaluated during the study.
This dataset includes single measurements for each sample.
DOI: 10.26126/intervals.vpr6l5
title: General condition and health (Individual level) [Individual measurements]

description: This dataset was generated in an in vivo systems toxicology study where the impact of exposure to cigarette smoke and e-vapor aerosols on the cardiovascular and respiratory systems of ApoE -/-mice was studied.
The general condition and health (e.g., body weight) at the individual level was evaluated during the study.
This dataset includes single measurements for each sample.
DOI: 10.26126/intervals.jxouzc
title: General pathology evaluation [Individual measurements]

description: This dataset was generated in an in vivo systems toxicology study where the impact of exposure to cigarette smoke and e-vapor aerosols on the cardiovascular and respiratory systems of ApoE -/-mice was studied.
General pathological evaluations were performed following exposure.
This dataset includes single measurements for each sample.
DOI: 10.26126/intervals.r3y7o3
title: Histopathological analysis (Non-respiratory tissues) [Individual measurements]

description: This dataset was generated in an in vivo systems toxicology study where the impact of exposure to cigarette smoke and e-vapor aerosols on the cardiovascular and respiratory systems of ApoE -/-mice was studied.
Histopathological evaluations of non-respiratory tissues (aortic root, gall bladder, heart ventricle, liver, musculus soleus, parathyroid gland, and thyroid gland) were performed.
This dataset includes single measurements for each sample.