cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.8157395
title: Replication package for "Skill heterogeneity and market labour income inequality"

description: Medrano-Adan, L., Salas-Fumás, V. and Sánchez-Asín, J. (2023) “Skill heterogeneity and market labour income inequality”. <em>SERIEs-Journal of the Spanish Economic Association</em>.
DOI: 10.5281/zenodo.8157396
title: Replication package for "Skill heterogeneity and market labour income inequality"

description: Medrano-Adan, L., Salas-Fumás, V. and Sánchez-Asín, J. (2023) “Skill heterogeneity and market labour income inequality”. <em>SERIEs-Journal of the Spanish Economic Association</em>.
DOI: 10.5287/ora-zr7zypv5w
title: Pharmacological and electronic cigarette interventions for smoking cessation in adults: component network meta-analyses_Supplementary files

description: These files are supplements to a Cochrane Review published in the Cochrane Library: 'Pharmacological and electronic cigarette interventions for smoking cessation in adults: component network meta-analyses'
DOI: 10.14473/csda/fbyxom/eux9lm
title: OM_V2107.pdf

description: Ostatní materiály
DOI: 10.14473/csda/fbyxom/lapmmu
title: NS_2107_DataFile_finální_OPRAVENO.tab

description: Data
DOI: 10.14473/csda/fbyxom/m5q1wj
title: TI_V2107.pdf

description: Technická informace 01
DOI: 10.14473/csda/fbyxom/nty4py
title: D_V2107.pdf

description: Dotazník
DOI: 10.14473/csda/fbyxom/sqvj2o
title: K_V2107.pdf

description: Karty
DOI: 10.14473/csda/fbyxom/4hosdf
title: PR08_V2107.pdf

description: Míra naléhavosti různých oblastí veřejného života – červenec 2021
DOI: 10.14473/csda/fbyxom/dvqsvb
title: PR13_V2107.pdf

description: Nový typ koronaviru – zájem, očekávání a očkování – červenec 2021
DOI: 10.14473/csda/fbyxom/mm6vhk
title: TI02_V2107.pdf

description: Technické informace 02
DOI: 10.14473/csda/fbyxom/oyzyax
title: PR16_V2107.pdf

description: Veřejnost o vývoji spotřeby elektrické energie a možnostech nahrazení klasických zdrojů při její výrobě – červenec 2021
DOI: 10.14473/csda/fbyxom/vm9p7b
title: PR07_V2107.pdf

description: Občané o hospodářské situaci ČR a o životní úrovni svých
DOI: 10.14473/csda/fbyxom/xhl2ze
title: PR14_V2107.pdf

description: Veřejnost o jaderné energetice – červenec 2021
DOI: 10.14473/csda/fbyxom/hdnwtw
title: PR01_V2107.pdf

description: Volební model v červenci 2021
DOI: 10.14473/csda/fbyxom/lnqhfi
title: PR06_V2107.pdf

description: Členství České republiky v Evropské unii očima veřejnosti – červenec 2021
DOI: 10.14473/csda/fbyxom/phoj3m
title: PR15_V2107.pdf

description: Veřejnost o problematice radioaktivního odpadu a hlubinného úložiště – červenec 2021
DOI: 10.14473/csda/fbyxom/qjazgg
title: PR09_V2107.pdf

description: Česká veřejnost o globálních problémech – červenec 2021
DOI: 10.14473/csda/fbyxom/s1u9rc
title: PR12_V2107.pdf

description: Postoje české veřejnosti ke změně klimatu na Zemi – červenec 2021
DOI: 10.14473/csda/fbyxom/b6bnir
title: PR10_V2107.pdf

description: Postoje a aktivity české společnosti vzhledem k životnímu prostředí – červenec 2021
DOI: 10.14473/csda/fbyxom/kus0h9
title: PR11_V2107.pdf

description: Hodnocení stavu životního prostředí – červenec 2021
DOI: 10.14473/csda/fbyxom/mbeyec
title: PR02_V2107.pdf

description: Důvěra ústavním institucím v červenci 2021
DOI: 10.14473/csda/fbyxom/nkb77p
title: PR04_V2107.pdf

description: Důvěra vybraným institucím – červenec 2021
DOI: 10.14473/csda/fbyxom/o4y5lk
title: PR05_V2107.pdf

description: Důvěra v evropské a mezinárodní instituce – červenec 2021
DOI: 10.14473/csda/fbyxom/snvcyz
title: PR03_V2107.pdf

description: Důvěra vrcholným ústavním činitelům – červenec 2021
DOI: 10.2908/tec00015
title: Gross operating surplus and mixed income
title: Excédent brut d'exploitation et revenu mixte
title: Bruttobetriebsüberschuss und Selbstständigeneinkommen

description: Der Bruttobetriebsüberschuss ist der Überschuss (oder Defizit) aus Produktionstätigkeit vor Berück­sichtigung von gezahlten oder erhaltenen Zinsen und Mieten für die Verwendung von Vermögenswerten. Selbständigeneinkommen ist die Vergütung für die Arbeitsleistung des Eigentümers eines Unternehmens ohne eigene Rechtspersönlichkeit oder seiner Familienmitglieder. Das Selbständigen­einkommen kann jedoch nicht von den in der Eigenschaft als Unter­nehmer erzielten Gewinnen unterschieden werden.
description: Operating surplus is the surplus (or deficit) on production activities before account has been taken of the interest, rents or charges paid or received for the use of assets. Mixed income is the remuneration for the work carried out by the owner (or by members of his family) of an unincorporated enterprise. This is referred to as 'mixed income' since it cannot be distinguished from the entrepreneurial profit of the owner.
description: L'excédent brut d'exploitation est l'excédent (ou le déficit) généré par les activités de production préalablement à la prise en compte des intérêts, loyers ou charges payés ou reçus pour l'usage d'actifs. Le revenu mixte est la rémunération pour le travail effectué par le propriétaire d'une entreprise non constituée en société ou par les membres de sa famille. Celle-ci ne peut pas être distinguée de son profit en tant qu'entrepreneur : on parle de "revenu mixte".
DOI: 10.2908/tec00098
title: Household investment rate
title: Taux d'investissement des ménages
title: Investitionsquote privater Haushalte

description: Die Brutto-Investitionsquote der Haushalte (einschließlich privater Organisationen ohne Erwerbszweck) ist definiert als deren Bruttoanlageinvestitionen (ESVG 2010 code: P51G) dividiert durch das verfügbare Bruttoeinkommen (B6G). Das letztere wird um die Netto Zunahme betrieblicher Versorgungsansprüche bereinigt (D8net). Die Investitionen der Haushalte bestehen hauptsächlich aus dem Kauf und der Instandhaltung von Wohnungen. Ausführliche Daten und Hinweise zur Methodik sind der Website http://ec.europa.eu/eurostat/sectoraccounts zu entnehmen.
description: The gross investment rate of households (including Non-Profit Institutions Serving Households) is defined as gross fixed capital formation (ESA 2010 code: P51G) divided by gross disposable income (B6G), with the latter being adjusted for the net change in pension entitlements (D8net). Household investment mainly consists of the purchase and renovation of dwellings. Detailed data and methodology on site http://ec.europa.eu/eurostat/sectoraccounts.
description: Le taux d'investissement brut des ménages (y compris les institutions sans but lucratif au service des ménages) est défini comme la formation brute de capital fixe (code SEC 2010: P51G) divisée par le revenu brut disponible (B6G), ajusté de la variation nette des droits à pension (D8net). L'investissement des ménages consiste principalement en l'achat et la rénovation de logements. Données et informations méthodologiques détaillées sur le site http://ec.europa.eu/eurostat/sectoraccounts.
DOI: 10.2908/tec00099
title: Investment rate of non-financial corporations
title: Taux d'investissement des sociétés non-financières
title: Investitionsquote nichtfinanzieller Kapitalgesellschaften

description: Die Brutto-Investitionsquote der nichtfinanziellen Kapitalgesellschaften ist definiert als Bruttoanlageinvestitionen ESVG 2010 code: P51) dividiert durch die Bruttowertschöpfung (B1G). Diese Quote setzt die Investitionen der nichtfinanziellen Unternehmen in Anlagen (Gebäude, Maschinen usw.) ins Verhältnis zu der im Produktionsprozess entstandenen Wertschöpfung. Ausführliche Daten und Hinweise zur Methodik sind der Website http://ec.europa.eu/eurostat/sectoraccounts zu entnehmen.
description: The gross investment rate of non-financial corporations is defined as gross fixed capital formation (ESA 2010 code: P51G) divided by gross value added (B1G). This ratio relates the investment of non-financial businesses in fixed assets (buildings, machinery etc.) to the value added created during the production process. Detailed data and methodology on site http://ec.europa.eu/eurostat/sectoraccounts.
description: Le taux d'investissement brut des entreprises non-financières est défini comme la formation brute de capital fixe (code SEC 2010: P51G) divisée par la valeur ajoutée brute (B1G). Ce ratio met en rapport les investissements des entreprises non-financières en actifs fixes (bâtiments, machines, etc.) et la valeur ajoutée créée au cours du processus de production. Données et informations méthodologiques détaillées sur le site http://ec.europa.eu/eurostat/sectoraccounts.
DOI: 10.2908/tec00100
title: Profit share of non-financial corporations
title: Part des profits dans la valeur ajoutée des sociétés non financières
title: Gewinnquote der Bruttowertschöpfung nichtfinanzieller Kapitalgesellschaften

description: Die Gewinnquote der nichtfinanziellen Kapitalgesellschaften ist definiert als der Bruttobetriebsüberschuss (ESVG 2010 code: B2G_B3G) dividiert durch die Bruttowertschöpfung (B1G). Es handelt sich hierbei um einen Profitabilitätsindikator, der anzeigt, welcher Anteil der im Produktionsprozess entstandenen Wertschöpfung auf die Vergütung des Kapitals entfällt. Er ist das Gegenstück zum Anteil der Lohnkosten (plus Produktionsabgaben minus Subventionen) an der Wertschöpfung. Ausführliche Daten und Hinweise zur Methodik sind der Website http://ec.europa.eu/eurostat/sectoraccounts zu entnehmen.
description: The profit share of non-financial corporations is defined as gross operating surplus (ESA 2010 code: B2G_B3G) divided by gross value added (B1G). This profitability-type indicator shows the share of the value added created during the production process remunerating capital. It is the complement of the share of wage costs (plus taxes less subsidies on production) in value added. Detailed data and methodology on site http://ec.europa.eu/eurostat/sectoraccounts.
description: La part des profits des sociétés non financières est définie comme l'excédent brut d'exploitation (code SEC 2010: B2G_B3G) divisé par la valeur ajoutée brute (B1G). Cet indicateur de profitabilité indique la part de la valeur ajoutée créée au cours du processus de production qui sert à la rémunération du capital. C'est le complément de la part des coûts salariaux (augmentés des impôts moins les subventions sur la production) dans la valeur ajoutée. Données et informations méthodologiques détaillées sur le site http://ec.europa.eu/eurostat/sectoraccounts.
DOI: 10.2908/tec00101
title: Gross return on capital employed, before taxes, of non-financial corporations
title: Taux de rendement brut du capital, avant impôt, des entreprises non-financières
title: Bruttokapitalrendite nichtfinanzieller Kapitalgesellschaften vor Steuern

description: Die Bruttokapitalrendite nichtfinanzieller Kapitalgesellschaften vor Steuern ist definiert als Bruttobetriebsüberschuss (ESVG 2010 code: B2G_B3G) dividiert durch die wesentlichen finanziellen Verbindlichkeiten. Letztere beinhalten Bargeld und Einlagen (AF2), Schuldverschreibungen (AF3), Kredite (AF4) und Anteilsrechte und Anteile an Investmentfonds (AF5). Ausführliche Daten und Hinweise zur Methodik sind der Website http://ec.europa.eu/eurostat/sectoraccounts zu entnehmen.
description: Gross return on capital employed, before taxes, of non-financial corporations is defined as gross operating surplus (ESA 2010 code: B2G_B3G) divided by main financial liabilities. Latter include currency and deposits (AF2), debt securities (AF3) loans (AF4) and equity and investment fund shares/units (AF5). Detailed data and methodology on site http://ec.europa.eu/eurostat/sectoraccounts .
description: Le taux de rendement brut du capital, avant impôt, des entreprises non-financières est défini comme l'excédent brut d'exploitation (code SEC 2010: B2G_B3G) divisé par les principaux passifs financiers. Ces derniers incluent le numéraire et dépôts (AF2), les titres de créance (AF3), les crédits (AF4) et les actions et parts de fonds d'investissement (AF5). Données et informations méthodologiques détaillées sur le site http://ec.europa.eu/eurostat/sectoraccounts.
DOI: 10.2908/tec00102
title: Net debt-to-income ratio, after taxes, of non-financial corporations
title: Taux d'endettement net, après impôt, des entreprises non-financières
title: Netto-Schulden-Einkommensquotient nichtfinanzieller Kapitalgesellschaften nach Steuern

description: Der Netto-Schulden-Einkommensquotient nichtfinanzieller Kapitalgesellschaften nach Steuern ist definiert als die wesentlichen finanziellen Verbindlichkeiten dividiert durch den Nettounternehmensgewinn (ESVG 2010 code: B4N) abzüglich Einkommen- und Vermögensteuern (D5PAY). Die wesentlichen finanziellen Verbindlichkeiten beinhalten Bargeld und Einlagen (AF2), Schuldverschreibungen (AF3), und Kredite (AF4). Ausführliche Daten und Hinweise zur Methodik sind der Website http://ec.europa.eu/eurostat/sectoraccounts zu entnehmen.
description: Net debt-to-income ratio, after taxes, of non-financial corporations is defined as main financial liabilities divided by net entrepreneurial income (ESA 2010 code: B4N) less current taxes on income and wealth (D5PAY). Main financial liabilities include currency and deposits (AF2), debt securities (AF3) and loans (AF4). Detailed data and methodology on site http://ec.europa.eu/eurostat/sectoraccounts .
description: Le taux d'endettement net, après impôt, des entreprises non-financières est défini comme les principaux passifs financiers divisés par le revenu d'entreprise net (code SEC 2010: B4N) moins les impôts courants sur le revenu et le patrimoine (D5PAY). Les principaux passifs financiers incluent le numéraire et dépôts (AF2), les titres de créance (AF3) et les crédits (AF4). Données et informations méthodologiques détaillées sur le site http://ec.europa.eu/eurostat/sectoraccounts.
DOI: 10.2908/tec00103
title: Net return on equity, after taxes, of non-financial corporations
title: Taux de rendement net, après impôt, des fonds propres des entreprises non-financières
title: Die Nettoeigenkapitalrendite nichtfinanzieller Kapitalgesellschaften nach Steuern

description: Die Nettoeigenkapitalrendite nichtfinanzieller Kapitalgesellschaften nach Steuern ist definiert als der Nettounternehmensgewinn (ESVG 2010 code: B4N), abzüglich Einkommen- und Vermögensteuern (D5PAY), dividiert durch Anteilsrechte und Anteile an Investmentfonds (AF5) und Verbindlichkeiten. Ausführliche Daten und Hinweise zur Methodik sind der Website http://ec.europa.eu/eurostat/sectoraccounts zu entnehmen.
description: Net return on equity, after taxes, of non-financial corporations is defined as net entrepreneurial income (ESA 2010 code: B4N) less current taxes on income and wealth (D5PAY) divided by equity and investment fund shares/units (AF5), liabilities. Detailed data and methodology on site http://ec.europa.eu/eurostat/sectoraccounts .
description: Le taux de rendement net, après impôt, des fonds propres des entreprises non-financières est défini comme le revenu d'entreprise net (code SEC 2010: B4N) moins les impôts courants sur le revenu et le patrimoine (D5PAY) divisé par les actions et parts de fonds d'investissement (AF5) au passif. Données et informations méthodologiques détaillées sur le site http://ec.europa.eu/eurostat/sectoraccounts.
DOI: 10.2908/tec00133
title: Net national income
title: Revenu national net
title: Nettovolkseinkommen

description: Das Bruttonationaleinkommen ist das gesamte von gebietsansässigen Einheiten als Gegenleistung für eine Teilnahme an Produktionsprozessen erwirtschaftete Primäreinkommen: Arbeitnehmerentgelt, Produktions- und Importabgaben abzüglich Subventionen, Nettovermögenseinkommen, Bruttobetriebsüberschuss und Selbständigeneinkommen. Es entspricht dem BIP abzüglich der Primäreinkommen, die von gebietsansässigen Produktionseinheiten an nicht gebietsansässige Einheiten bezahlt werden, zuzüglich der Primäreinkommen, die Gebietsansässige vom Rest der Welt empfangen. Das Nettonationaleinkommen ergibt sich aus dem Bruttonationaleinkommen nach Abzug der Abschreibungen.
description: Gross national income (at market prices) represents total primary income receivable by resident institutional units in return for some engagement in productive activity: compensation of employees, taxes on production and imports less subsidies, property income (receivable less payable), gross operating surplus and gross mixed income. It corresponds to the better known GDP minus primary income payable by resident units to non-resident units, plus primary income receivable by resident units from the rest of the world. Net national Income equals Gross National income after deduction of the consumption of fixed capital.
description: Le revenu national brut (aux prix du marché) représente l'ensemble des revenus primaires réçus par les unités institutionnelles résidentes pour leur participation dans la production: rémunération des salariés, impôt sur la production et les importations moins les subventions, les revenus de la propriété (à recevoir moins à payer), excédent brut d'exploitation et revenu mixte brut. Il est égal au PIB diminué des revenus primaires versés par les unités résidentes à des unités non-résidentes, augmenté des revenus primaires reçus du reste du monde par des unités résidentes. Le revenu national net est égal au revenu national brut après déduction de la consommation de capital fixe.
DOI: 10.57745/ivnaf1
title: HPAEC-Sugar-Analysis_OL_Results.csv

description: This file contains the results of the quantification of the relative content of sugar monomers (fucose, arabinose, rhamnose, galactose, glucose, xylose, galacturonic and glucuronic acid) by HPAEC analysis for all lab-extracted organosolv lignins. Results are expressed as a gram per 100 gram of lignin sample. The standard deviation represents less than 5% of the mean value.
DOI: 10.57745/3ynniy
title: HPAEC-Sugar-Analysis_OL_Method.pdf

description: This file describes the method used to quantify the relative content of sugar monomers in lab-extracted organosolv lignins.
DOI: 10.6084/m9.figshare.23703153
title: Raw data 1

description: Raw data <br>
DOI: 10.6084/m9.figshare.23703153.v1
title: Raw data 1

description: Raw data <br>
DOI: 10.5281/zenodo.8159779
title: Toileting behaviours of the UK public: insights for reducing gender bias wastewater-based epidemiology sampling strategies

description: Cross-sectional survey results from a toileting behaviour survey conducted between the 27th to the 28th of June 2022. Participants (<em>n</em> = 2109) were aged 18 years or older and were living in the UK. The survey consisted of 17 closed-ended questions, with 7 of the questions addressing specific demographic topics and 10 questions addressed toileting behaviour. The questionnaire was designed by a team consisting of environmental microbiologists, public health specialists, wastewater-based epidemiologists, and social scientists, based on the study objectives and incorporating information from previous studies on the same topic. First, self-report questions were asked on typical frequency of urination and defecation, followed by self-reports of frequency of urination and defecation at a variety of locations including at home, at work, educational buildings, transport hubs, and in public toilets. The comfort in urination/defecation at these locations for defecation and urination was also measured. Other questions about toileting behaviour and health monitoring were measured by statements with a 5-point Likert scale (e.g., strongly disagree to strongly agree).
DOI: 10.5281/zenodo.8159778
title: Toileting behaviours of the UK public: insights for reducing gender bias wastewater-based epidemiology sampling strategies

description: Cross-sectional survey results from a toileting behaviour survey conducted between the 27th to the 28th of June 2022. Participants (<em>n</em> = 2109) were aged 18 years or older and were living in the UK. The survey consisted of 17 closed-ended questions, with 7 of the questions addressing specific demographic topics and 10 questions addressed toileting behaviour. The questionnaire was designed by a team consisting of environmental microbiologists, public health specialists, wastewater-based epidemiologists, and social scientists, based on the study objectives and incorporating information from previous studies on the same topic. First, self-report questions were asked on typical frequency of urination and defecation, followed by self-reports of frequency of urination and defecation at a variety of locations including at home, at work, educational buildings, transport hubs, and in public toilets. The comfort in urination/defecation at these locations for defecation and urination was also measured. Other questions about toileting behaviour and health monitoring were measured by statements with a 5-point Likert scale (e.g., strongly disagree to strongly agree).
DOI: 10.25345/c5ms3kb72
title: MassIVE MSV000092465 - plant_drug_mzxml_11_comp_07_2023
title: plant drug of 11 sample. method of forensic toxicology.07_2023
DOI: 10.5281/zenodo.8159789
title: A Novel Credit Card Fraud Detection Method

description: Credit card fraud can lead to significant financial losses for both individuals and financial institutions. In this paper, we propose a novel method called CTCN, which uses Conditional Tabular Generative Adversarial Networks (CTGAN) and Temporal Convolutional Network (TCN) for credit card fraud detection. Our approach includes an oversampling algorithm that uses CTGAN to balance the dataset, and Neighborhood Cleaning Rule (NCL) to filter out majority class samples that overlap with the minority class. We generate synthetic minority class samples that conform to the original data distribution, resulting in a balanced dataset. We then employ TCN to analyze transaction sequences and capture long-term dependencies between data, revealing potential relationships between transaction sequences, thus achieving accurate credit card fraud detection. Experiments on three public datasets demonstrate that our proposed method outperforms current machine learning and deep learning methods, as measured by recall, F1-Score, and AUC-ROC.
DOI: 10.5281/zenodo.8159788
title: A Novel Credit Card Fraud Detection Method

description: Credit card fraud can lead to significant financial losses for both individuals and financial institutions. In this paper, we propose a novel method called CTCN, which uses Conditional Tabular Generative Adversarial Networks (CTGAN) and Temporal Convolutional Network (TCN) for credit card fraud detection. Our approach includes an oversampling algorithm that uses CTGAN to balance the dataset, and Neighborhood Cleaning Rule (NCL) to filter out majority class samples that overlap with the minority class. We generate synthetic minority class samples that conform to the original data distribution, resulting in a balanced dataset. We then employ TCN to analyze transaction sequences and capture long-term dependencies between data, revealing potential relationships between transaction sequences, thus achieving accurate credit card fraud detection. Experiments on three public datasets demonstrate that our proposed method outperforms current machine learning and deep learning methods, as measured by recall, F1-Score, and AUC-ROC.
DOI: 10.5519/qd.1ltu4h0p
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (5240197 records)
DOI: 10.48665/udec/vpeiti/jrms4r
title: RESULTADOS ENCUESTA SOBRE CIENCIA ABIERTA UNIVERSIDAD DE CONCEPCIÓN.pdf

description: informe análisis de resultados
DOI: 10.3886/e113536v1-140241
title: Replication data for: Women's Inheritance Rights, Household Allocation, and Gender Bias

description: We analyze the impact of improved land inheritance rights for women in India on female empowerment by examining their educational attainment and the intergenerational effects of the reform. Using a difference-in-differences strategy, we find that the amendment to the Hindu Succession Act significantly increased education of women from landed households by 0.48 years. However, our results indicate a significant decrease in the educational attainment of children, especially boys of treated mothers. We attribute this decrease to treated mothers who are better educated and able to assess the higher opportunity cost of education for boys.
description: 41554 households in India, women between the ages of 15-49, children between ages 5-18.