cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.15306350
title: PINK1 deficiency rewires early immune responses in a mouse model of Parkinson's disease triggered by intestinal infection

description: Parkinson’s disease is characterized by a period of non-motor symptoms, including gastrointestinal dysfunction, preceding motor deficits by decades. This long prodrome is suggestive of peripheral immunity involvement in the initiation of disease. We previously developed a model system in PINK1 KO mice displaying PD-like motor symptoms at late stages following intestinal infections. Herein, we map the initiating immune events at the site of infection in this model. Using single-cell RNAseq, we demonstrate that peripheral myeloid cells are the earliest highly dysregulated immune cell type in PINK1 KO infected mice followed by an aberrant T cell response shortly after. We elucidate an increased propensity for antigen presentation mediated by myeloid-CD8+ T cell interaction. PINK1 KO activated myeloid cells acquire a proinflammatory profile inducing cytotoxic T cell responses. Together, our study provides the first evidence that PINK1 is a key regulator of immune functions in the gut underlying early PD-related disease mechanisms.
DOI: 10.2908/tipspd26
title: Private sector debt: loans, by sectors, consolidated - million units of national currency
title: Dette du secteur privé : crédits, par secteurs, consolidée - millions d'unités monétaires nationales
title: Schuldenstand des privaten Sektors, nach Sektoren, Kredite, konsolidiert, nicht konsolidiert - Millionen Landeswährung

description: The table presents the stock of liabilities of loans (F.4) for the sectors Non-Financial corporations (S.11), Households (S.14) and Non-Profit institutions serving households (S.15). The debt securities are negotiable financial instruments serving as evidence of debt. Data are presented in consolidated terms (meaning transactions within the same sector are not taken into account) and expressed in million units of national currency. Definitions regarding sectors and instruments are based on the ESA 2010.
description: Die Tabelle stellt den Bestand an Verbindlichkeiten in Form von Kredite (F.4) für die Sektoren nichtfinanzielle Kapitalgesellschaften (S.11), Private Haushalte (S.14) und Organisationen ohne Erwerbszweck (S.15) dar. Schuldverschreibungen sind begebbare Finanzinstrumente, die als Schuldtitel dienen. Die Daten werden konsolidiert dargestellt, was bedeutet, dass Transaktionen innerhalb desselben Sektors nicht berücksichtigt werden, und in Mio. Landeswährung. Die Definitionen der Sektoren und Instrumente stützen sich auf das ESVG 2010.
description: Le tableau présente l'encours des passifs des crédits (F.4) pour les secteurs des sociétés non financières (S.11), des ménages (S.14) et des institutions sans but lucratif au service des ménages (S.15). Les titres de créances sont des instruments financiers négociables qui constituent la preuve d'une dette. Les données sont présentées en termes consolidés, ce qui signifie que les transactions au sein d’un même secteur ne sont pas prises en compte, et sont exprimées en millions d'unités monétaires nationales. Les concepts utilisés pour la définition des secteurs et des instruments sont conformes au SEC 2010.
DOI: 10.2908/tipsst10
title: Gross domestic expenditure on research and development (R&D)
title: Dépense intérieure brute de R&D
title: Bruttoinlandsaufwendungen für FuE

description: La recherche et le développement expérimental (R&D) est un indicateur auxiliaire de la PDM qui englobe les travaux créatifs et systématiques entrepris afin d'augmenter le stock de connaissances – y compris les connaissances humaines, culturelles et sociétales – et d'élaborer de nouvelles applications des connaissances disponibles (Règlement d'exécution de la Commission (UE) 2020/1197 et Manuel de Frascati de l'OCDE, édition 2015, § 2.5).
description: Die Forschung und experimentelle Entwicklung (FuE) ist ein ergänzender Indikator des VMU, der kreative und systematische Arbeiten umfasst, die unternommen werden, um den Wissensbestand – einschließlich des menschlichen, kulturellen und gesellschaftlichen Wissens – zu erweitern und neue Anwendungen des verfügbaren Wissens zu entwickeln (Durchführungsverordnung der Kommission (EU) 2020/1197 und OECD-Frascati-Handbuch, Ausgabe 2015, § 2.5).
description: Research and experimental development (R&D) is a MIP auxiliary indicator that encompasses creative and systematic work undertaken in order to increase the stock of knowledge – including knowledge of humankind, culture and society – and to devise new applications of available knowledge (Commission Implementing Regulation (EU) 2020/1197 and OECD Frascati Manual, 2015 edition, § 2.5).
DOI: 10.2908/tipsun20
title: Unemployment rate - annual data
title: Taux de chômage - données annuelles
title: Arbeitslosenquoten - jährliche Daten

description: The unemployment rate is the number of unemployed persons as a percentage of the labour force based on International Labour Office (ILO) definition. The labour force is the total number of people employed and unemployed. The MIP scoreboard indicator considers unemployed persons comprise persons aged 15 to 74 who: 
- are without work during the reference week; 
- are available to start work within the next two weeks; 
- and have been actively seeking work in the past four weeks or had already found a job to start within the next three months. 
Unit: rate. The indicative threshold of the indicator is 10%. In the table, values are also calculated by considering unemployed persons aged 15 to 24 and those aged 25 to 74.
description: Der Arbeitslosenquote ist die Anzahl der arbeitslosen Personen als Prozentsatz der Erwerbsbevölkerung gemäß der Definition der Internationalen Arbeitsorganisation (IAO). Die Erwerbsbevölkerung umfasst die insgesamt beschäftigten und arbeitslosen Personen.
Der VMU-Scoreboard-Indikator berücksichtigt als arbeitslos geltend Personen im Alter von 15 bis 74 Jahren, die: 
- die in der Berichtswoche ohne Arbeit waren, 
- verfügbar, um innerhalb der nächsten zwei Wochen mit der Arbeit zu beginnen
- in den vergangenen vier Wochen aktiv auf Arbeitssuche waren oder eine Arbeit gefunden hatten, die sie innerhalb der nächsten drei Monate aufnehmen würden. 
Der indikative Schwellenwert des Indikators liegt bei 10 %.
Im Tabelle werden die Werte auch unter Berücksichtigung der arbeitslosen Personen im Alter von 15 bis 24 Jahren und im Alter von 25 bis 74 Jahren berechnet.
description: Le taux de chômage est le nombre de personnes au chômage exprimé en pourcentage de la population active, selon la définition de l'Organisation internationale du travail (OIT). La population active correspond au nombre total de personnes actuellement employées et au chômage.
L’indicateur du tableau de bord de la PDM considère que les personnes au chômage sont celles âgées de 15 à 74 ans qui étaient : 
- sans travail durant la semaine de référence; 
- disponibles pour un travail durant les deux prochaines semaines; 
- soit en train de rechercher activement du travail pendant les quatre semaines précédentes ou avaient déjà trouvé un travail qui commençait dans les trois mois suivants.
 
Le seuil indicatif de l'indicateur est fixé à 10 %.
Dans le tableau, les valeurs sont également calculées en prenant en compte les personnes au chômage âgées de 15 à 24 ans et celles âgées de 25 à 74 ans.
DOI: 10.2908/mips_sa
title: Macroeconomic imbalance procedure - Statistical annex indicators
title: Procédure concernant les déséquilibres macroéconomiques - Indicateurs de l'annexe statistique
title: Verfahren bei einem makroökonomischen Ungleichgewicht - Statistischer Anhang Indikatoren

description: Der Datensatz der Indikatoren der Statistischen Annexen (SA) (Tabellen-Code: MIPS_SA) enthält alle Daten der seit 2012 veröffentlichten Statistischen Annexen, die als Anhänge zu den Alarmmechanismusberichten (AMR) veröffentlicht wurden und zu Beginn der Zyklen der wirtschaftlichen Steuerung (Europäische Semester) erscheinen. Die Statistischen Annexen sind auf der Eurostat-Website im PDF-Format verfügbar.
description: The Statistical Annex (SA) indicators dataset (table code: MIPS_SA) contains all data of the Statistical Annexes published since 2012 as annexes to the Alert Mechanism Reports (AMR), which are released at the opening of the cycles of economic governance (European Semesters). Statistical Annexes are available via the Eurostat website in PDF format.
description: L'ensemble de données des indicateurs de l'Annexe statistique (SA) (code de table : MIPS_SA) contient toutes les données des Annexes statistiques publiées depuis 2012 en tant qu'annexes aux Rapports du Mécanisme d'Alerte (AMR), qui sont publiés lors de l'ouverture des cycles de gouvernance économique (Semestres européens). Les Annexes statistiques sont disponibles sur le site web d'Eurostat au format PDF.
DOI: 10.2908/tipspd40
title: Household including non-profit institutions serving households (NPISH) debt, consolidated
title: Dette consolidée des ménages incluant les institutions sans but lucratif au service des ménages (ISBLSM)
title: Verbindlichkeiten privater Haushalte einschließlich privater Organisationen ohne Erwerbszweck (OOE), konsolidiert

description: Die Schulden des Sektors der Haushalte entsprechen dem Bestand an Verbindlichkeiten, die von den Sektoren der Haushalte und der Organisationen ohne Erwerbszweck, die Haushalte unterstützen (S.14_S.15) gehalten werden. Die Instrumente, die zur Berechnung der Schulden des Sektors der Haushalte berücksichtigt werden, sind Schuldverschreibungen (F.3) und Kredite (F.4). Die Daten werden in konsolidierter Form dargestellt (was bedeutet, dass Transaktionen innerhalb desselben Sektors nicht berücksichtigt werden) und sind als Prozentsatz des verfügbaren, bereinigten Bruttoeinkommens (AGDI, B7G) ausgedrückt.
Die Definitionen der Sektoren und Instrumente basieren auf dem ESVG 2010 (Europäisches System Volkswirtschaftlicher Gesamtrechnungen). Der auxiliary indicator des VMU stellt den Bestand der Schulden des Sektors der Haushalte in Prozent des AGDI.
Der Indikator wird wie folgt berechnet: [HHSDt / AGDIt] * 100.
description: La dette du secteur des ménages correspond au stock de passifs détenus par les secteurs des ménages et des organisations à but non lucratif servant les ménages (S.14_S.15).
Les instruments pris en compte pour établir la dette du secteur des ménages sont les titres de créance (F.3) et les prêts (F.4). Les données sont présentées en termes consolidés (ce qui signifie que les transactions au sein d’un même secteur ne sont pas prises en compte) et sont exprimées en % du revenu disponible ajusté brut (AGDI, B7G).
Les définitions des secteurs et des instruments sont basées sur le SEC 2010 (Système Européen des Comptes). L'indicateur auxiliaire de la PDM représente le stock de la dette du secteur des ménages en pourcentage de l'AGDI.
L'indicateur est calculé comme suit : [HHSDt / AGDIt] * 100.
description: The households sector debt is the stock of liabilities held by the sectors Households and Non-Profit institutions serving households (S.14_S.15). 
The instruments taken into account to compile the household sector debt are Debt securities (F.3) and Loans (F.4). Data are presented in consolidated terms (meaning transactions within the same sector are not taken into account) and are expressed in % of gross adjusted disposable income (AGDI, B7G). 
Definitions regarding sectors and instruments are based on the ESA 2010.
The MIP auxiliary indicator is the stock of households sector debt in percentage of AGDI. The indicator is calculated as: [HHSDt/AGDIt]*100.
DOI: 10.21233/7ke4-n703
title: Dyer Pond diatom surface sample dataset

description: Raw data for the Dyer Pond diatom surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.2908/tipspd30
title: Dette des sociétés non financières, consolidée - % du PIB
title: Schulden nichtfinanzieller Unternehmen, konsolidiert - % des BIP
title: Non-financial corporations debt, consolidated - % of GDP

description: The non-financial corporations debt is the stock of debt of the sector non-financial corporations (S11). It is expressed as percentage of GDP. The instruments taken into account to compile this indicator are Debt securities (F.3) and Loans (F.4). Data are presented in consolidated terms (meaning transactions within the same sector are not taken into account) and expressed in % of GDP and millions of national currency. Definitions regarding sectors and instruments are based on the ESA 2010.
The MIP scoreboard indicator is the stock of non-financial corporations sector debt expressed as percentage of gross domestic product (GDP). The indicative threshold of non-financial corporations debt is 85%. The indicator is calculated as: [NFCDt/GDPt]*100.
description: Die Verschuldung der nichtfinanziellen Unternehmen entspricht dem Bestand an Schulden des Sektors der nichtfinanziellen Kapitalgesellschaften (S.11). Sie wird als Prozentsatz des BIP ausgedrückt. Die zur Berechnung dieses Indikators herangezogenen Instrumente sind Schuldverschreibungen (F.3) und Darlehen (F.4). Die Daten werden in konsolidierter Form dargestellt (das heißt, Transaktionen innerhalb desselben Sektors werden nicht berücksichtigt) und sowohl als Prozentsatz des BIP als auch in Millionen der nationalen Währungseinheit angegeben. Die Definitionen der Sektoren und Instrumente beruhen auf dem ESVG 2010 (Europäisches System Volkswirtschaftlicher Gesamtrechnungen).
Der Indikator des VMU-Scoreboards stellt den Bestand der Schulden des Sektors der nichtfinanziellen Unternehmen in Prozent des Bruttoinlandsprodukts (BIP) dar.
Der indikative Schwellenwert für die Verschuldung der nichtfinanziellen Unternehmen beträgt 85 %.
Der Indikator wird wie folgt berechnet: [NFCDt / BIPt] * 100.
description: La dette des sociétés non financières correspond au stock de dette du secteur des sociétés non financières (S.11). Elle est exprimée en pourcentage du PIB.
Les instruments pris en compte pour établir cet indicateur sont les titres de créance (F.3) et les prêts (F.4). Les données sont présentées en termes consolidés (c’est-à-dire que les transactions au sein d’un même secteur ne sont pas prises en compte) et sont exprimées en pourcentage du PIB ainsi qu’en millions de la monnaie nationale.
Les définitions des secteurs et des instruments sont fondées sur le SEC 2010 (Système européen des comptes). L’indicateur du tableau de bord de la PDM représente le stock de dette du secteur des sociétés non financières en pourcentage du produit intérieur brut (PIB).
Le seuil indicatif pour la dette des sociétés non financières est fixé à 85 %.
L’indicateur est calculé comme suit : [NFCDt / PIBt] * 100.
DOI: 10.34740/kaggle/dsv/11731763
title: Global Genomic Neurofibromatosis Neoplasia
DOI: 10.21233/yjwm-tx08
title: Lenora Lake water chemistry dataset

description: Raw data for the Lenora Lake water chemistry dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/pqha-pv25
title: Eight Mile Lake pollen dataset

description: Raw data for the Eight Mile Lake pollen dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/09g2-j397
title: HoneyCamp pollen surface sample dataset

description: Raw data for the HoneyCamp pollen surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.15468/dl.9esahg
title: Occurrence Download

description: A dataset containing 217 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Africa",
 "OccurrenceStatus is Present",
 "TaxonKey is Schrebera arborea A.Chev."
 ]
}

 The dataset includes 217 records from 42 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021399-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21233/egfn-t432
title: LDDsite2928 ostracode surface sample dataset

description: Raw data for the LDDsite2928 ostracode surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.15468/dl.u9fgpf
title: Occurrence Download

description: A dataset containing 186 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Scutellaria dependens Maxim.",
 "Year is greater than or equal to 1980",
 "Year is less than or equal to 2010",
 "HasCoordinate is true"
 ]
}

 The dataset includes 186 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021400-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21233/2etc-bc69
title: Toconce charcoal dataset

description: Raw data for the Toconce charcoal dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/2w3y-qd33
title: Round Lake pollen surface sample dataset

description: Raw data for the Round Lake pollen surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/wk1p-yw46
title: Okanagan Lake water chemistry dataset

description: Raw data for the Okanagan Lake water chemistry dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/bm4n-ef79
title: Big Spring water chemistry dataset

description: Raw data for the Big Spring water chemistry dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/3s5e-6p33
title: Tutsieta Lake ostracode surface sample dataset

description: Raw data for the Tutsieta Lake ostracode surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.5281/zenodo.15363835
title: Dataset paper "M. Rinaldi et al., npj Comput. Mater. 10, 1 (2024)"

description: Updated version of the dataset originally generated in the work by M. Rinaldi et al., npj Comput. Mater. 10, 1 (2024).
DOI: 10.5281/zenodo.15363836
title: Dataset paper "M. Rinaldi et al., npj Comput. Mater. 10, 1 (2024)"

description: Updated version of the dataset originally generated in the work by M. Rinaldi et al., npj Comput. Mater. 10, 1 (2024).
DOI: 10.21233/70r2-g546
title: Success Pond diatom surface sample dataset

description: Raw data for the Success Pond diatom surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/mzms-wj59
title: HB03 diatom surface sample dataset

description: Raw data for the HB03 diatom surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/rfjq-9816
title: Lower Cathedral L. diatom surface sample dataset

description: Raw data for the Lower Cathedral L. diatom surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/ykzp-9j38
title: LDDsite5814 ostracode surface sample dataset

description: Raw data for the LDDsite5814 ostracode surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/yg7c-1v90
title: Cooper Creek Reservoir water chemistry dataset

description: Raw data for the Cooper Creek Reservoir water chemistry dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/2b3c-ce40
title: Flamingo Lake diatom surface sample dataset

description: Raw data for the Flamingo Lake diatom surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.15468/dl.sbz6sv
title: Occurrence Download

description: A dataset containing 2643 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Persicaria thunbergii (Siebold & Zucc.) H.Gross",
 "Year is greater than or equal to 1980",
 "Year is less than or equal to 2010",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2643 records from 70 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021401-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.