giftpflanzen-phytotoxin-datenbank

de: Agroscope

en: Agroscope

fr: Agroscope

it: Agroscope

de: Die frei zugängliche TPPT (Toxic Plant – Phytotoxin) Datenbank beinhaltet 844 Schweizer Giftpflanzen zusammen mit 1586 Phytotoxinen, welche von diesen Pflanzen produziert werden. Die Angaben umfassen botanische Informationen von Pflanzenarten, deren Vorkommen, oder der Toxizität für Mensch und Tier, sowie umfassende chemische Informationen mit Identifizierungs-Merkmalen, in-silico berechneten physikalisch-chemischen Eigenschaften und verschiedenen Toxizitäten. Diese Informationen ermöglichen Risiko-Bewertungen von Phytotoxinen oder Studien zu deren Auftreten in der Umwelt.

it: La banca dati TPPT (Toxic Plant – Phytotoxin), liberamente accessibile, contiene 844 piante tossiche svizzere e 1586 fitotossine prodotte da queste piante. I dati includono informazioni botaniche sulle specie vegetali, sulla loro distribuzione geografica e sulla loro tossicità per l’uomo e gli animali, oltre a informazioni chimiche complete corredate da caratteristiche d’identificazione, proprietà fisico-chimiche e varie tossicità calcolate in silico. Queste informazioni permettono di valutare i rischi legati alle fitotossine o di studiare la loro presenza nell’ambiente.

fr: La base de données TPPT (Toxic Plant - Phytotoxin) - en libre accès - contient 844 plantes toxiques suisses ainsi que 1586 phytotoxines produites par ces plantes. Les données comprennent des informations botaniques sur les espèces végétales, leur distribution géographique ou leur toxicité pour l'homme et les animaux ainsi que des informations chimiques complètes avec des caractéristiques d'identification, des propriétés physico-chimiques et diverses toxicités calculées in silico. Ces informations permettent l'évaluation du risque dû aux phytotoxines ou des études sur leur présence dans l'environnement.

en: The TPPT database is a multi-purpose, freely available database providing information on 844 poisonous plants and 1586 of their phytotoxins in Switzerland and Central Europe. We combined biological information on the plants, their spatial distribution, and their human and animal toxicities, together with chemical information including identification information, molecular structure, as well as in-silico predicted physicochemical properties, and human and aquatic toxicities. The included information facilitates phytotoxin risk assessments or environmental monitoring programs.

it: Banca dati sulle piante tossiche e sulle fitotossine

fr: Base de données sur les plantes toxiques et les phytotoxines

de: Giftpflanzen – Phytotoxin Datenbank

en: Toxic Plants – Phytotoxin (TPPT) Database

en: agriculture research

de: forschung landwirtschaft

fr: agriculture recherche

it: agricoltura ricerca

agroscope

fr:
Agroscope, centre de compétence de la Confédération pour la recherche agronomique, apporte une contribution importante à une filière agroalimentaire durable et à un environnement préservé, contribuant ainsi à une meilleure qualité de vie pour tous.

L‘activité de recherche d'Agroscope s'étend à toute la chaîne de création de valeur de la filière agroalimentaire et vise une agriculture compétitive et multifonctionnelle, des aliments de qualité pour une alimentation saine ainsi qu'un environnement intact. Agroscope axe son travail de recherche sur les besoins des bénéficiaires de ses prestations.

en:
Agroscope is the Swiss centre of excellence for agricultural research, and is affiliated with the Federal Office for Agriculture (FOAG). Agroscope makes an important contribution to a sustainable agriculture and food sector as well as to an intact environment, thereby contributing to an improved quality of life.

Agroscope researches along the entire value chain of the agriculture and the food sector. Its goals are a competitive and multifunctional agricultural sector, high-quality food for a healthy diet, and an intact environment. In pursuing these aims, the research institute gears itself to the needs of its service recipients.

de:
Agroscope ist das Kompetenzzentrum des Bundes für landwirtschaftliche Forschung und ist dem Bundesamt für Landwirtschaft (BLW) angegliedert. Agroscope leistet einen bedeutenden Beitrag für eine nachhaltige Land- und Ernährungswirtschaft sowie eine intakte Umwelt und trägt damit zur Verbesserung der Lebensqualität bei.

Die Forschung erfolgt entlang der gesamten Wertschöpfungskette der Land- und Ernährungswirtschaft. Ziele sind eine wettbewerbsfähige und multifunktionale Landwirtschaft, hochwertige Lebensmittel für eine gesunde Ernährung sowie eine intakte Umwelt. Dabei richtet sich die Forschungsanstalt auf die Bedürfnisse ihrer Leistungsempfänger aus.

it:
Agroscope è il centro di competenza della Confederazione per la ricerca agronomica ed è aggregato all'Ufficio federale dell'agricoltura (UFAG). Agroscope fornisce un contributo significativo per una filiera agroalimentare sostenibile e un ambiente incontaminato, concorrendo a migliorare la qualità della vita.

La ricerca contempla l'intera catena del valore della filiera agroalimentare, avendo come obiettivi un'agricoltura multifunzionale e competitiva, derrate alimentari d'alta qualità per un'alimentazione sana e un ambiente incontaminato. Al contempo, l'istituto di ricerca si concentra sulle esigenze dei destinatari delle proprie prestazioni.

spatial: CH

title_for_slug: giftpflanzen-phytotoxin-datenbank

value: I14Y DCAT Agroscope

agri

de: Landwirtschaft, Fischerei, Forstwirtschaft und Nahrungsmittel

en: Agriculture, fisheries, forestry and food

fr: Agriculture, pêche, sylviculture et alimentation

it: Agricoltura, pesca, silvicoltura e prodotti alimentari

agricoltura

display_name: agricoltura

agriculture

display_name: agriculture

forschung

display_name: forschung

landwirtschaft

display_name: landwirtschaft

recherche

display_name: recherche

research

display_name: research

ricerca

display_name: ricerca


datenreihe-za-aui

$oid: OBSOLETE

de: Für die Entwicklung der Agrarpolitik ist es wichtig zu wissen, wie sich die Landwirtschaft auf die Umwelt auswirkt. Aus diesem Grund führt das Bundesamt für Landwirtschaft (BLW), gestützt auf die «Verordnung über die Beurteilung der Nachhaltigkeit der Landwirtschaft» (SR 919.118), gemeinsam mit Agroscope ein Agrarumweltmonitoring (AUM) durch. Hierfür berechnet Agroscope sogenannte Agrarumweltindikatoren (AUI); AUI sind einfach verständliche, umweltrelevante Grössen, um das komplexe Umweltsystem darzustellen. Für betriebsspezifische Aussagen stützte sich Agroscope für die Jahre 2009 bis 2022 auf die Zentrale Auswertung von AUI (ZA-AUI), bei der detaillierte Daten von etwa 300 Landwirtschaftsbetrieben zu Bestand und Praxis erfasst (z.B. Tierbestand, Düngungspraxis) und daraus AUI berechnet wurden. Der vorliegende Datensatz enthält die Ergebnisse dieser ZA-AUI-Indikatoren. Ab 2023 wurde die ZA-AUI vom neuen Monitoring des Agrarumweltsystems Schweiz (MAUS) abgelöst.

it: Per lo sviluppo della politica agricola, è importante conoscere l’impatto dell’agricoltura sull’ambiente. Ecco perché, sulla base dell’ordinanza concernente l’analisi della sostenibilità in agricoltura (RS 919.118), l’Ufficio federale dell’agricoltura (UFAG) effettua il monitoraggio agroambientale (MAA) insieme ad Agroscope. A tale scopo, Agroscope calcola i cosiddetti indicatori agroambientali (IAA), parametri di facile comprensione e di rilevanza ambientale per rappresentare il complesso sistema ambientale. Per le dichiarazioni specifiche delle aziende, Agroscope si è basato sull’Analisi centralizzata degli IAA (AC-IAA) per il periodo 2009-2022, in cui sono stati registrati i dati dettagliati di circa 300 aziende agricole sulle scorte e sulle pratiche (p.es. effettivo di animali, pratiche di concimazione), con cui sono stati calcolati gli IAA. Il set di dati contiene i risultati di questi indicatori AC-IAA. Nel 2023 l’AC-IAA è stata sostituita dal nuovo monitoraggio del sistema agroambientale Svizzera (MAUS).

fr: Pour le développement de la politique agricole, il est important de connaître l'impact de l'agriculture sur l'environnement. C'est pourquoi l'Office fédéral de l'agriculture (OFAG), sur la base de l’ordonnance sur l'évaluation de la durabilité de l'agriculture (RS 919.118), réalise un monitoring agro-environnemental (MAE) en collaboration avec Agroscope. A cet effet, Agroscope calcule des indicateurs agro-environnementaux (IAE). Il s’agit de grandeurs facilement compréhensibles et pertinentes pour l'environnement, qui permettent de représenter le système environnemental complexe. Pour les informations spécifiques aux exploitations, Agroscope s'est appuyé pour les années 2009 à 2022 sur le Dépouillement centralisé des IAE (DC-IAE), dans le cadre duquel les données détaillées d'environ 300 exploitations agricoles relatives au cheptel, aux machines et aux pratiques agricoles (par ex. cheptel, pratiques de fertilisation) ont été saisies et sur la base desquelles les IAE ont été calculés. Le présent ensemble de données contient les résultats de ces indicateurs DC-IAE. À partir de 2023, le DC-IAE a été remplacé par le nouveau monitoring du système agro-environnemental suisse (MAUS).

en: To develop agricultural policy, it is important to understand how agriculture affects the environment. To this end, together with Agroscope, the Federal Office for Agriculture (FOAG) carries out an agri-environmental monitoring programme (AEM) based on the Ordinance for Assessing the Sustainability of Agriculture (SR 919.118). For this, Agroscope calculates so-called agri-environmental indicators (AEIs). AEIs are easily understandable, environmentally relevant variables for representing the complex environmental system. For farm-specific statements for 2009 to 2022, Agroscope relied on the Swiss Agri-Environmental Data Network (SAEDN), in which detailed data on stock and practices from around 300 farms (e.g. livestock, fertilisation practice) was collected to calculate AEIs. The present dataset contains the results of these SAEDN indicators. In 2023, the SAEDN was replaced by the new Swiss agri-environmental monitoring system, ‘MAUS’.

agroscope

approval_status: approved

political_level: confederation

state: active

type: organization

de: Datenreihe ZA-AUI

en: SAEDN Data Series

it: Serie di dati AC-IAA

fr: Séries de données DC-IAE

title_for_slug: datenreihe-za-aui

type: dataset

key: guid

key: uri

format: XLS


landwirtschaftliche-einkommensstatistik

de:
Es handelt sich um gesamtbetriebliche Erfolgskennzahlen basierend auf Buchhaltungsdaten. Zudem sind Zusatzinformationen zu Betriebsstrukturen (Flächen, Tiere) und dem Arbeitskräfteeinsatz enthalten.
Die Ergebnisse ab 2015 basieren der Zufallsstichprobe Einkommenssituation (Zentrale Auswertung von Buchhaltungsdaten).
Die Ergebnisse vor 2015 basieren auf den Referenzbetrieben (Zentrale Auswertung von Buchhaltungsdaten).
Weiterführende Dokumentation ist in den Berichten enthalten.

Berichte des Jahres 2009 bis zum aktuellsten erschienenen Bericht.
Im Bericht eines Jahres sind immer auch Daten für die beiden Vorjahre enthalten.

* Ganze Schweiz
* Landwirtschaftliche Produktionsregionen (Talregion, Hügelregion, Bergregion)
* Betriebstypen (Ackerbau, Spezialkulturen, Milchkühe, Mutterkühe, Rindvieh gemischt, Pferde/Schafe/Ziegen, Veredelung, Kombiniert Milchkühe/Ackerbau, Kombiniert Mutterkühe, Kombiniert Veredelung, Kombiniert andere)
* Grössenklassen
* Kombinationen aus den oben genannten Schichtungsvariablen

fr:
Il s'agit d'indicateurs de résultat portant sur l'ensemble de l'exploitation, basés sur des données comptables. Ils contiennent en outre des informations supplémentaires sur les structures de l'exploitation (surfaces, animaux) et la main-d'œuvre.
A partir de 2015, les résultats reposent sur l'échantillon aléatoire «Situation du revenu» (Dépouillement centralisé des données comptables).
Les résultats antérieurs à 2015 se fondent sur les «exploitations de référence» (Dépouillement centralisé des données comptables).

Une documentation plus détaillée est disponible dans les rapports.
Rapports de l'année 2009 jusqu'au dernier rapport publié.
Le rapport d'une année contient toujours les données des deux années précédentes.

* Ensemble de la Suisse
* Régions de production agricole (Région de plaine, Région des collines, Région de montagne,
* Types d'exploitation (Grandes cultures, Cultures spéciales, Vaches laitières, Vaches-mères, Bovins mixtes, Chevaux/ovins/caprins, Transformation, Combiné vaches laitières/grandes cultures, Combiné vaches-mères, Combiné transformation, Combiné autres)
* Catégories de taille
* Combinaisons des variables de stratification mentionnées plus haut

it:
Si tratta di indicatori sul risultato generale dell’azienda basati su dati contabili. Sono incluse anche informazioni aggiuntive sulle strutture dell’azienda (superfici, animali) e sull’impiego di manodopera.
Dal 2015 in poi i risultati si basano sul campione casuale «Situazione reddituale» (Analisi centralizzata dei dati contabili).
I risultati anteriori al 2015 si basano sulle «aziende di riferimento» (Analisi centralizzata dei dati contabili).
Nei rapporti figurano documenti più dettagliati.

Rapporti dal 2009 fino all’ultimo rapporto pubblicato.
I rapporti annuali contengono sempre anche i dati del biennio precedente.

* Tutta la Svizzera
* Regioni di produzione agricola (Regione di pianura, Regione collinare, Regione di montagna)
* Tipi di azienda (Campicoltura, Colture speciali, Vacche da latte, Vacche madri, Bovini misti, Equini/ovini/caprini, Trasformazione, Combinata vacche da latte/campicoltura, Combinata, vacce madri, Combinata, trasformazione, Combinata altra)
* Classi di dimensione
* Combinazioni delle variabili di stratificazione summenzionate

en:
The dataset contains whole-farm performance indicators based on accountancy data. There is also additional information on farm structures (areas, animals) and the workforce.
The results from 2015 onwards are based on the random sample ‘Income Situation’ (Farm Accountancy Data Network).
Results prior to 2015 are based on the ‘Reference Farms’ (Farm Accountancy Data Network). More detailed documentation is contained in the reports.

Reports from 2009 up to the most recently published report.
The reports for one year always include data for the two preceding years.

* The whole of Switzerland
* Agricultural production regions (Plain region, Hill region, Mountain region)
* Farm types (Arable crops, Special crops, Dairy cows, Suckler cows, Mixed cattle, Horses/sheep/goats, Pigs/poultry, Combined dairy/arable crops, Combined suckler cows, Combined pigs/poultry, Combined others)
* Size categories
* Combinations of the above-mentioned stratification variables

spatial: Schweiz

en: Agricultural Income Statistics

de: Landwirtschaftliche Einkommensstatistik

it: Reddito in agricoltura svizzera

fr: Revenus dans l’agriculture suisse

title_for_slug: landwirtschaftliche-einkommensstatistik

format: PDF

identifier: statisticadeiredditi

media_type: application/pdf

identifier: statistiquedesrevenus

de: Einkommen in der schweizerischen Landwirtschaft

identifier: einkommensstatistik


de:
Es handelt sich um Deckungsbeitragsrechnungen auf Ebene Betriebszweige. Die präsentierten Ergebnisse basieren auf Buchhaltungsdaten.
Die Ergebnisse ab 2016 basieren auf der Stichprobe Betriebsführung (Zentrale Auswertung von Buchhaltungsdaten).
Die Ergebnisse vor 2016 basieren auf den «Referenzbetrieben» (Zentrale Auswertung von Buchhaltungsdaten).
Weiterführende Dokumentation ist in den Berichten enthalten.

Berichte des Jahres 2009 bis zum aktuellsten erschienenen Bericht.
Im Bericht eines Jahres sind immer auch Daten für die beiden Vorjahre enthalten.

Diverse Betriebszweige werden separat ausgewertet
* Getreide (Weizen, Gerste, Roggen, Dinkel, Triticale)
* Körnermais
* Kartoffeln
* Zuckerrüben
* Ölsaaten (Raps, Sonnenblumen)
* Eiweisserbsen
* Milchvieh
* Mutterkühe
* Rindviehmast
* Kälbermast
* Schweinezucht
* Schweinemast

fr:
Il s'agit de calculs de marges brutes à l’échelle des branches d'exploitation. Les résultats présentés reposent sur des données comptables.
A partir de 2016, les résultats sont basés sur l'échantillon «Gestion de l’exploitation» (Dépouillement centralisé des données comptables).
Les résultats antérieurs à 2016 se fondent sur les «exploitations de référence» (Dépouillement centralisé des données comptables).
Une documentation plus détaillée est disponible dans les rapports.

Rapports de l'année 2009 jusqu'au dernier rapport publié.
Le rapport d'une année contient toujours les données des deux années précédentes.

Diverses branches de production sont évaluées séparément:
* Céréales (blé, orge, seigle, épeautre, triticale)
* Maïs-grains
* Pommes de terre
* Betteraves à sucre
* Oléagineux (colza, tournesol)
* Pois protéagineux
* Vaches laitières
* Vaches allaitantes
* Engraissement de bétail bovin
* Engraissement de veaux
* Élevage de porcs
* Engraissement de porcs

it:
Si tratta di calcoli dei contributi di copertura a livello di settore di produzione. I risultati presentati si basano sui dati contabili.
Dal 2016 in poi i risultati si basano sul campione «Conduzione aziendale» (Analisi centralizzata dei dati contabili).
I risultati anteriori al 2016 si basano sulle «aziende di riferimento» (Analisi centralizzata dei dati contabili).
Nei rapporti figurano documenti più dettagliati.

Rapporti dal 2009 fino all’ultimo rapporto pubblicato.
I rapporti annuali contengono sempre anche i dati del biennio precedente.

en:
The dataset contains contribution margin calculations at the farm branch level. The results presented are based on accountancy data.
The results from 2016 onwards are based on the ‘Farm Management’ sample (Farm Accountancy Data Network). Results prior to 2016 are based on the ‘Reference Farms’ (Farm Accountancy Data Network). More detailed documentation is contained in the reports.

Reports from 2009 up to the most recently published report.
The reports for one year always include data for the two preceding years.

en: Agricultural Production-Branch Results

fr: Résultats des branches de production agricoles

it: Risultati dei settori di produzione agricoli

identifier: betriebszweigergebnisse

identifier: resultatsdesbranches


iatixml-organisation-file

name: Direktion für Entwicklung und Zusammenarbeit DEZA

de:
Das "Organisation File" der Direktion für Entwicklung und Zusammenarbeit (DEZA) wird gemäss dem Standard der International Aid Transparency Initiative (IATI) veröffentlicht.
Es enthält detaillierte Finanzinformationen, darunter das Gesamtbudget, mehrjährige Budgetprognosen nach Budgetlinien (für die nächsten vier Jahre) sowie das Jahresbudget nach Partnerländern aufgeschlüsselt. Ebenfalls enthalten sind Ausgabendaten, differenziert nach Kreditlinien.
Neben den Finanzdaten bietet die Datei auch Links zu wichtigen Dokumenten wie Jahresberichten, Evaluationen sowie Länder- oder thematischen Kooperationsprogrammen. Die Daten werden einmal jährlich im XML-Format gemäss dem IATI-Organisationsstandard veröffentlicht.

rm: IATI–XML Organisation file

it:
L’organisation file della Direzione dello sviluppo e della cooperazione (DSC) è pubblicato secondo lo standard dell'Iniziativa internazionale per la trasparenza degli aiuti (IATI).
Fornisce informazioni finanziarie dettagliate, inclusi i budget totali, le previsioni di bilancio pluriennali disaggregate per linee di bilancio (per i prossimi quattro anni) e i budget annuali disaggregati per paese partner. Include inoltre i dati sulle spese, disaggregati per linea di credito.
Oltre ai dati finanziari, il file contiene collegamenti a documenti chiave come rapporti annuali, valutazioni e programmi di cooperazione tematici o per paese. I dati vengono pubblicati una volta all'anno in formato XML, conformemente allo standard organisation di IATI.

fr:
Le fichier "Organisation File" de la Direction du développement et de la coopération (DDC) est publié conformément au standard de l’Initiative internationale pour la transparence de l’aide (IATI).
Il fournit des informations financières détaillées, y compris le budget total, les prévisions budgétaires pluriannuelles ventilées par lignes budgétaires (pour les quatre prochaines années), ainsi que le budget annuel ventilé par pays partenaire. Il comprend également des données sur les dépenses, ventilées par lignes de crédit.
En plus des données financières, le fichier contient des liens vers des documents clés tels que les rapports annuels, les évaluations et les programmes de coopération par pays ou par thème. Les données sont publiées une fois par an au format XML, conformément au standard organisationnel de l’IATI.

en:
The organisation file of the Swiss Agency for Development and Cooperation (SDC) is published according to the IATI (International Aid Transparency Initiative) standard.
It provides detailed financial information, including total budgets, multi-year budget forecasts disaggregated by budget lines (covering the next four years), and current-year budgets broken down by partner country. It also includes expenditure data disaggregated by credit lines.
In addition to financial data, the file contains links to key documents such as annual reports, evaluations, and country or thematic cooperation programmes. The data is published annually in XML format, in line with the IATI organisation standard.

de: Die Direktion für Entwicklung und Zusammenarbeit (DEZA) ist die Agentur für internationale Zusammenarbeit im Eidgenössischen Departement für auswärtige Angelegenheiten (EDA). Die DEZA ist zuständig für die Gesamtkoordination der Entwicklungs- und Ostzusammenarbeit mit andern Bundesämtern sowie für die humanitäre Hilfe des Bundes.

en: The Swiss Agency for Development and Cooperation (SDC) is the agency for international cooperation of the Federal Department of Foreign Affairs (FDFA). The SDC is responsible for the overall coordination with other federal authorities of development and cooperation with Eastern Europe as well as for humanitarian aid delivered by the Swiss Confederation.

fr: La Direction du développement et de la coopération (DDC) est l’organe du Département fédéral des affaires étrangères (DFAE) responsable des activités de Coopération internationale de la Suisse. Lui incombent la coordination de la coopération au développement et de la coopération avec l'Europe de l’Est avec d’autres offices de la Confédération, ainsi que l’Aide humanitaire de la Suisse.

it: La Direzione dello sviluppo e della cooperazione (DSC) è l’agenzia del Dipartimento federale degli affari esteri (DFAE) preposta alla cooperazione internazionale della Svizzera. Alla DSC competono il coordinamento generale, con altri servizi federali, della cooperazione allo sviluppo e della cooperazione con l’Europa dell’Est nonché l’aiuto umanitario della Confederazione.

en: Swiss Agency for Development and Cooperation SDC

fr: Direction du développement et de la coopération DDC

it: Direzione dello sviluppo e della cooperazione DSC

de: IATI–XML Organisation file

fr: IATI–XML Organisation file

it: IATI–XML Organisation file

en: IATI–XML Organisation file

title_for_slug: iatixml-organisation-file

value: I14Y DCAT DEZA

intr

de: Internationale Themen

en: International issues

fr: Questions internationales

it: Tematiche internazionali

de: IATI-XML Organisation file 2024

fr: IATI-XML Organisation file 2024

en: IATI-XML Organisation file 2024

it: IATI-XML Organisation file 2024

rm: IATI-XML Organisation file 2024

format: XML

media_type: application/xml

de: IATI-XML Organisation file 2025

fr: IATI-XML Organisation file 2025

en: IATI-XML Organisation file 2025

it: IATI-XML Organisation file 2025

de: IATI-XML Organisation file 2021

fr: IATI-XML Organisation file 2021

en: IATI–XML Organisation file 2021

it: IATI–XML Organisation file 2021

rm: IATI–XML Organisation file 2021

en: IATI-XML Organisation file 2021

it: IATI-XML Organisation file 2021

de: IATI-XML Organisation file 2019

fr: IATI-XML Organisation file 2019

en: IATI-XML Organisation file 2019

it: IATI-XML Organisation file 2019

rm: IATI–XML Organisation file 2019


iati-activity-file

de:
Das Activity File der Direktion für Entwicklung und Zusammenarbeit (DEZA) wird gemäss dem Standard der International Aid Transparency Initiative (IATI) veröffentlicht.
Es enthält detaillierte Informationen zu Aktivitäten der Entwicklungszusammenarbeit und der humanitären Hilfe, einschliesslich transaktionsbezogener Finanzdaten, Titel, Beschreibungen, wesentlicher Merkmale, Partnerländer, Sektoren sowie weiterer relevanter Indikatoren. Die Daten werden im XML-Format gemäss dem IATI-Aktivitätsstandard veröffentlicht.

rm: IATI–XML Activity file

it:
L’activity file della Direzione dello sviluppo e della cooperazione (DSC) è pubblicato secondo lo standard dell'Iniziativa internazionale per la trasparenza degli aiuti (IATI).
Contiene informazioni dettagliate sulle attività di cooperazione allo sviluppo e di aiuto umanitario, inclusi i dati finanziari per transazione, i titoli, le descrizioni, le caratteristiche principali, i paesi partner, i settori e altri indicatori pertinenti. I dati sono pubblicati in formato XML, conformemente allo standard delle attività IATI.

fr:
Le fichier Activity File de la Direction du développement et de la coopération (DDC) est publié conformément au standard de l’Initiative internationale pour la transparence de l’aide (IATI).
Il contient des informations détaillées sur les activités de coopération au développement et d’aide humanitaire, y compris les données financières par transaction, les titres, les descriptions, les principales caractéristiques, les pays partenaires, les secteurs, ainsi que d’autres indicateurs pertinents. Les données sont publiées au format XML, conformément au standard des activités de l’IATI.

en:
The activity file of the Swiss Agency for Development and Cooperation (SDC) is published according to the IATI (International Aid Transparency Initiative) standard.
It contains detailed information on development cooperation and humanitarian aid activities, including transaction-level financial data, titles, descriptions, key characteristics, partner countries, sectors, and other relevant indicators. The data is published in XML format in line with the IATI activity standard.

de: Direktion für Entwicklung und Zusammenarbeit DEZA

it: IATI Activity File

en: IATI Activity File

fr: IATI Activity File

de: IATI Activity File

title_for_slug: iati-activity-file

de: IATI–XML Activity file 2020

fr: IATI–XML Activity file 2020

en: IATI–XML Activity file 2020

it: IATI–XML Activity file 2020

rm: IATI–XML Activity file 2020

de: IATI–XML Activity file 2019

fr: IATI–XML Activity file 2019

en: IATI–XML Activity file 2019

it: IATI–XML Activity file 2019

rm: IATI–XML Activity file 2019

de: IATI–XML Activity file 2023

fr: IATI–XML Activity file 2023

en: IATI–XML Activity file 2023

it: IATI–XML Activity file 2023

rm: IATI–XML Activity file 2023

de: IATI–XML Activity file 2018

fr: IATI–XML Activity file 2018

en: IATI–XML Activity file 2018

it: IATI–XML Activity file 2018

rm: IATI–XML Activity file 2018


de: Die Sammlung umfasst Bodenfunde aus der Schweiz vom Paläolithikum bis zum frühen Mittelalter, d.h. von ca. 100'000 v. Chr. bis rund 800 n. Chr. Verschiedene Funde sind von internationaler Bedeutung.

fr: La collection comprend des objets trouvés en Suisse depuis le Paléolithique jusqu'au début du Moyen Âge, soit entre environ 100 000 avant J.-C. et environ 800 après J.-C. Plusieurs découvertes revêtent une importance internationale.

it: La collezione comprende reperti archeologici rinvenuti in Svizzera dal Paleolitico al primo Medioevo, ovvero dal 100 000 a.C. circa all'800 d.C. circa. Diversi reperti sono di importanza internazionale.

rm: Repräsentative Auswahl aus der Sammlung „Archäologie“ des Schweizerischen Nationalmuseums

en: The collection comprises archaeological finds from Switzerland dating from the Palaeolithic to the early Middle Ages, i.e. from around 100,000 BC to around 800 AD. Various finds are of international significance.

en: archaeology art-of-the-paleolithic mesozoic paleolithic swiss-national-museum

de: altsteinzeit archaologie kunst-des-palaolithikums mesozoikum schweizerisches-nationalmuseum

fr: archeologie art-du-paleolithique mesozoique musee-national-suisse paleolithique

it: archeologia arte-paleolitica mesozoico museo-nazionale-svizzero paleolitico

schweizerisches-nationalmuseum-snm

fr: Le Musée national suisse regroupe trois musées: le Musée national Zurich, le Château de Prangins et le Forum de l’histoire suisse à Schwyz, ainsi que le centre des collections d’Affoltern am Albis. Les musées consacrent leurs expositions à l’histoire de la Suisse, depuis les époques les plus reculées jusqu’à aujourd’hui ; ils fournissent ainsi leur contribution à l’étude des identités suisses et des contrastes et de la variété qui marquent notre histoire et notre culture. Des expositions temporaires sur des sujets plus en prise sur l’actualité complètent leur offre. Les commissaires du MNS organisent des expositions à la maison de la corporation Zur Meisen à Zurich et au Museo doganale Cantine di Gandria.

en: Three museums – the National Museum Zurich, the Château de Prangins and the Forum of Swiss History Schwyz – as well as the collections centre in Affoltern am Albis – are united under the umbrella of the Swiss National Museum (SNM). The permanent exhibitions at the museums present Swiss history from its beginnings to the present, and give an insight into Swiss identities and the rich tapestry of our country’s history and culture. Temporary exhibitions on current topics add to the experience. The SNM is also responsible for curating the Guild House ‘Zur Meisen’ Zurich and the Museo doganale Cantine di Gandria.

de: Unter dem Dach des Schweizerischen Nationalmuseums sind die drei Museen – Landesmuseum Zürich, Château de Prangins und das Forum Schweizer Geschichte Schwyz – sowie das Sammlungszentrum in Affoltern am Albis vereint. Die Museen präsentieren Schweizer Geschichte von den Anfängen bis heute, und erschliessen – auch mit temporären Ausstellungen zu aktuellen Themen – die schweizerischen Identitäten und die Vielfalt der Geschichte und Kultur unseres Landes.

it: Il Museo nazionale svizzero (MNS) riunisce sotto lo stesso tetto il Museo nazionale Zurigo, il Castello di Prangins e il Forum della storia svizzera Svitto nonché il Centro delle collezioni di Affoltern am Albis. Con le loro mostre i musei presentano la storia della Svizzera dagli inizi ad oggi e valorizzano l’identità svizzera e la varietà storica e culturale del nostro Paese. Le mostre temporanee su temi attuali offrono ulteriori impressioni. Inoltre l’MNS cura la Casa della corporazione «Zur Meisen» Zurigo e il Museo doganale Cantine di Gandria.

de: Schweizerisches Nationalmuseum SNM

en: Swiss National Museum SNM

fr: Musée national suisse MNS

it: Museo nazionale svizzero MNS

political_level: other

de: Schweizerisches Nationalmuseum (SNM)

fr: Musée national suisse (MNS)

en: Swiss National Museum (SNM)

it: Museo nazionale svizzero (MNS)

de: Repräsentative Auswahl aus der Sammlung "Archäologie" des Schweizerischen Nationalmuseums

en: Representative selection from the "Archaeology" collection of the Swiss National Museum

fr: Sélection représentative de la collection " Archéologie " du Musée national suisse

it: Selezione rappresentativa dalla collezione "Archeologia" del Museo nazionale svizzero

value: I14Y DCAT SNM

educ

de: Bildung, Kultur und Sport

en: Education, culture and sport

fr: Éducation, culture et sport

it: Istruzione, cultura e sport

de: Download vom Server media.nationalmuseum.ch

fr: Bilder Archäologie als ZIP Datei

en: Bilder Archäologie als ZIP Datei

it: Bilder Archäologie als ZIP Datei

rm: Bilder Archäologie als ZIP Datei

de: Bilder Archäologie als ZIP Datei

format: ZIP

media_type: application/zip

de: Datensätze Archäologie als CSV Datei

fr: Ensembles de données archéologiques sous forme de fichier CSV

en: Archaeology data sets as CSV file

it: Set di dati archeologici in formato CSV

rm: Datensätze Archäologie als CSV Datei

format: CSV

media_type: text/csv

altsteinzeit

display_name: altsteinzeit

archaeology

display_name: archaeology

archaologie

display_name: archaologie

archeologia

display_name: archeologia

archeologie

display_name: archeologie

art-du-paleolithique

display_name: art-du-paleolithique

art-of-the-paleolithic

display_name: art-of-the-paleolithic

arte-paleolitica

display_name: arte-paleolitica

kunst-des-palaolithikums

display_name: kunst-des-palaolithikums

mesozoic

display_name: mesozoic

mesozoico

display_name: mesozoico

mesozoicum

display_name: mesozoicum

mesozoikum

display_name: mesozoikum

mesozoique

display_name: mesozoique


beliebteste-lehrberufe

de:
Anzahl neue Ausbildungsverhältnisse pro Lehrberuf im Kanton Zug, 2024 bis 2025 ( jeweils per Ende August).

(QUELLE: Kanton Zug, Amt für Berufsbildung)

de: berufsbildung lehrberufe

kanton-zug

de:
Hier veröffentlicht das Team von Open Data Zug von der kantonalen Fachstelle für Daten und Statistik schrittweise offene Behördendaten der kantonalen Verwaltung.

Weitere Informationen unter https://zg.ch/opendata

de: Kanton Zug

en: Canton of Zug

fr: Canton de Zoug

it: Cantone di Zugo

political_level: canton

de: Fachstelle für Daten und Statistik des Kantons Zug

de: Lehrberufe Kanton Zug

title_for_slug: beliebteste-lehrberufe

value: DCAT Harvester Kt. ZG

de: Lehrberufe

format: JSON

media_type: application/json

berufsbildung

display_name: berufsbildung

lehrberufe

display_name: lehrberufe


de: Bundesamt für Raumentwicklung (ARE)

de: Verkehr und Mobilität verursachen eine Reihe von Kosten und Nutzen. Ein Teil davon ist für die Verkehrsteilnehmenden direkt spürbar: als Ausgabe für Benzin und ein Zugbillett oder der Nutzen, mit dem Auto oder dem Zug bequem an den Arbeitsort zu gelangen. Indem Verkehrsteilnehmende für Benzin oder Zugbillette bezahlen, übernehmen sie einen Teil der von ihnen verursachten Kosten. Daneben gibt es Kosten, die zwar durch die Mobilität verursacht werden, sich aber nicht im Preis für die Mobilität niederschlagen. Diese so genannten externen Kosten fallen als Folge von Schäden in der Umwelt, bei Unfällen und bei der Gesundheit an. Getragen werden sie von Dritten, der Allgemeinheit oder zukünftigen Generationen.

en: Transport and mobility result in a range of costs and benefits. Some of these are felt directly by transport users: the costs of petrol or a rail ticket, or the benefit of getting to work conveniently by car or train. By paying for fuel or a ticket, transport users assume a share of the costs that they cause. There are other costs, however. Although these are caused by mobility, they are not reflected in its price. These are known as external costs, and they are environmental and accident and health-related in nature. These costs are borne by third parties, by the general public, or by future generations.

fr: Transport et mobilité engendrent de nombreux coûts et bénéfices, dont une partie est directement perceptible par les usagers. Exemples : le coût de l’essence ou du billet de train ou l’avantage d’arriver confortablement au travail en train ou en voiture. En payant pour l’essence ou pour le billet de train, les usagers assument une partie des coûts qu’ils occasionnent. Mais il y a des coûts qui, bien qu’étant occasionnés par la mobilité, ne se répercutent pas sur son prix. Ils sont appelés coûts externes et surviennent sous forme de dommages causés dans les domaines suivants : environnement, accidents, santé. Ils sont assumés par des tiers, par la collectivité voire par les générations futures.

it: direttamente sugli utenti. Si tratta, ad esempio, dei costi della benzina o di un biglietto ferroviario oppure dei benefici legati alla comodità di raggiungere il proprio posto di lavoro in automobile o in treno. Pagando la benzina o il biglietto ferroviario, gli utenti della mobilità riprendono una parte dei costi da loro stessi occasionati. Vi sono inoltre costi, anche essi riconducibili alla mobilità, che però non si riflettono sui costi della mobilità: sono quei costi definiti esterni, causati dai danni in relazione all'ambiente, agli incidenti e alla salute, che vengono sopportati da terzi, dalla collettività o dalle future generazioni.

de: Ergebnistabellen externe Effekte des Verkehrs

en: Results tables external effects of transport

fr: Tableaux des résultats effets externes des transports

it: Tabelle dei risultati effetti esterni dei trasport

en: external-cost transport

de: externe-kosten verkehr

fr: couts-externes transport

it: costi-esterni trasporti

bundesamt-fur-raumentwicklung-are

fr: L'ARE est le centre de compétences de la Confédération pour les questions liées au développement territorial, à la politique des transports, au développement durable ainsi qu'à la coopération transnationale en matière de territoire.

de: Das ARE ist die Fachbehörde des Bundes für Fragen der räumlichen Entwicklung, für die Verkehrspolitik, die nachhaltige Entwicklung sowie die transnationale Zusammenarbeit in räumlichen Belangen.

en: The ARE is the federal government's centre of excellence for issues concerning spatial development, transport policy, sustainable development and international cooperation in spatial planning matters.

it: L'ARE è l'autorità federale responsabile per le questioni di sviluppo territoriale, politica dei trasporti, sviluppo sostenibile e collaborazione transnazionale in ambito territoriale.

de: Bundesamt für Raumentwicklung ARE

en: Federal Office for Spatial Development ARE

fr: Office fédéral du développement territorial ARE

it: Ufficio federale dello sviluppo territoriale ARE

de: Externe Kosten und Nutzen des Verkehrs

title_for_slug: Ergebnistabellen externe Effekte des Verkehrs

heal

de: Gesundheit

en: Health

fr: Santé

it: Salute

envi

de: Umwelt

en: Environment

fr: Environnement

it: Ambiente

tran

de: Verkehr

en: Transport

fr: Transports

it: Trasporti

de: Externe Kosten und Nutzen 2021, nach Verkehrsmittel und Unterkostenbereich, in CHF (laufender Wert)

en: External costs and benefits of transport 2021, by mean of transport and cost subarea, in CHF (current value)

fr: Coûts et bénéfices externes 2021, par moyen de transport et par sous-domaine de coûts, en CHF (valeur courante)

it: Costi e benefici esterni 2021, per mezzo di trasporto e per sottoarea di costo, in CHF (valore corrente)

de: Externe Effekte des Verkehrs  2021: Haupttabelle

en: External effects of transport 2021 : main table

fr: Effets externes des transports 2021: tableau principal

it: Effetti esterni del trasporto 2021: Tabella principale

de: Externe Kosten und Nutzen des Verkehrs 2010-2020, nach Verkehrsmittel und Kostenbereich, in CHF (laufender Wert)

en: Costs and benefits of transport 2010-2020, by mean of transport and cost domain, in CHF (current value)

fr: Coûts et bénéfices des transports 2010-2020, par moyen de transport et domaine de coût, en CHF (valeur courante)

it: Costi e benefici esterni 2010 - 2020, per mezzo di trasporto e per dominio di costo, in CHF (valore corrente)

de: Externe Effekte des Verkehrs  2010 - 2020: Haupttabelle

en: External effects of transport  2010 - 2020: main table

fr: Effets externes des transports 2010 - 2020: tableau principal

it: Effetti esterni del trasporto 2010 - 2020: Tabella principale

de: Externe Kosten und Nutzen des Verkehrs: Sensitivitätsanalysen 2021, nach Verkehrsmittel und Unterkostenbereich, in CHF (laufender Wert)

en: External costs and benefits of transport : sensitivity analyses 2021, by mean of transport and cost subarea, in CHF (current value)

fr: Coûts et bénéfices externes des transports: analyses de sensibilité 2021, par moyen de transport et sous-domaine de coût, en CHF (valeur courante)

it: Costi e benefici esterni del trasporto:  Analisi di sensitività 2021, per mezzo di trasporto e per sottodominio di costo, in CHF (valore corrente)

de: Externe Effekte des Verkehrs 2021: Sensitivitätsanalysen

en: External effects of transport 2021: Sensitivity analyses

fr: Effets externes des transports 2021: Analyses de sensibilité

it: Effetti esterni del trasporto 2021: Analisi di sensitività

de: Externe Kosten und Nutzen 2021 pro Fahrzeug-Kilometer, Tonnen-Kilometer oder Personen-Kilometer, nach Verkehrsmittel und Kostenbereich

en: External costs and benefits 2021 per vehicle-kilometer, ton-kilometer or person-kilometer, by transport mean and cost area, in CHF (current value)

fr: Coûts et bénéfices externes 2021 par véhicule-kilomètre, tonne-kilomètre ou personne-kilomètre, par moyen de transport et domaine de coût.

de: Externe Durchschnittskosten und -nutzen 2021 (pro km)

en: Average external costs and benefits 2021 (per km)

fr: Coûts et bénéfices externes moyens 2021 (par km)

it: Costi e benefici esterni medi 2021 (per km)

de: Externe Kosten und Nutzen des Verkehrs 2021, nach Verkehrsmittel, Antriebsart (fossil, elektrisch, Rest) und Unterkostenbereich, in CHF (laufender Wert)

en: External costs and benefits of transport 2021, by transport mean, drive type (fossil, electric, rest) and cost subarea, in CHF (current value)

fr: Coûts et bénéfices externes des transports en 2021, par mode de transport, par type de propulsion (fossile, électrique, reste) et par sous-domaine de coûts, en CHF (valeur courante)

de: Externe Effekte des Verkehrs 2021 nach Antriebsart

en: External effects of transport 2021 by drive type

fr: Effets externes des transports 2021 par type de propulsion

it: Effetti esterni del trasporto 2021 per sistema di propulsione

de: Externe Kosten und Nutzen des Verkehrs 2021, nach Verkehrsmittel, Kanton und Unterkostenbereich, in CHF (laufender Wert)

en: External costs and benefits of transport 2021, by transport mean, canton and cost subarea, in CHF (current value)

fr: Coûts et bénéfices externes des transports 2021, par moyen de transport, canton et sous-domaine de coûts, en CHF (valeur courante)

de: Externe Effekte des Verkehrs 2021 nach Kanton

en: External effects of transport 2021 by canton

fr: Effets externes des transports 2021 par canton

it: Effetti esterni del trasporto 2021 per Cantone

de: Kosten der Luftverchmutzung von Verkehr 2021, nach Verkehrsmittel, Raumtyp (städtisch, intermediär, ländlich) und Unterkostenbereich, in CHF (laufender Wert)

en: Air pollution Costs of transport 2021, by transport mean, type of area (urban, intermediate, rural) and cost subarea, in CHF (current value)

fr: Coûts de la pollution de l'air des transports 2021, par moyen de transport, type d'espace (urbain, intermédiaire, rural) et sous-domaine de coût, en CHF (valeur courante)

de: Externe Effekte des Verkehrs 2021: Kosten von Luftverschmutzung nach Raumtyp

en: External effects of transport 2021: costs of air pollution by type of area

fr: Effets externes des transports 2021: coûts de la pollution de l'air par type d'espace

it: Effetti esterni del trasporto 2021: costi dell'inquinamento atmosferico per tipo di spazio

de: Externe Kosten und Nutzen des Verkehrs 2021, nach Verkehrsmittel und Kostenbereich, in CHF (laufender Wert)

en: External costs and benefits of transport 2021, by transport mean and cost area, in CHF (current value)

fr: Coûts et bénéfices externes des transports 2021, par moyen de transport et domaine de coût, en CHF (valeur courante)

it: Costi e benefici esterni 2021, per mezzo di trasporto e per dominio di costo, in CHF (valore corrente)

de: Ergebnisse externe Effekte des Verkehrs 2021 - Übersichttabelle CH

en: Results external effects of transport 2021 - Summary table CH

fr: Résultats effets externes des transports 2021 - Tableau résumé CH

it: Risultati effetti esterni del trasporto 2021 - Tabella riassuntiva CH

de: Externe Kosten und Nutzen des Verkehrs 2021, nach Verkehrsmittel, Kostenbereich und Kanton, in CHF (laufender Wert)

en: External costs and benefits of transport 2021, by transport mean, cost area and canton, in CHF (current value)

fr: Coûts et bénéfices externes des transports 2021, par moyen de transport, domaine de coût et canton, en CHF (valeur courante)

it: Costi e benefici esterni 2021, per mezzo di trasporto, per dominio di costo e per cantone, in CHF (valore corrente)

de: Ergebnisse externe Effekte des Verkehrs 2021 - Übersichttabelle nach Kanton

en: Results external effects of transport 2021 - Summary table by canton

fr: Résultats effets externes des transports 2021 - Tableau résumé par canton

it: Risultati effetti esterni del trasporto 2021 - Tabella riassuntiva per cantone

de: Definition der Kategorien auf Deutsch und Französisch von Verkehrsmitteln, Kostenbereiche, Differenzierungen (Antriebsarten, Kantone, Raumtypen) und Sensitivitätsanalysen

en: Definition of categories in German and French of means of transport, cost areas, differentiations (drive types, cantons, types of area) and sensitivity analyses.

fr: Définition des catégories en allemand et français des moyens de transports, domaines de coûts, différenciations (modes de propulsion, cantons, type d'espace) et analyses de sensibilité

it: Definizione delle categorie tedesche e francesi di mezzi di trasporto, dominio di costo, differenziazione (modalità di propulsione, cantoni, tipo di area) e analisi di sensibilità

de: Metadata externe Effekte des Verkehrs

en: Metadata external effects of transport

fr: Metadonnées effets externes des transports

it: Metadatii effetti esterni dei trasport

de: Zeitverlusten aufgrund überlasteter Strassen (Vergleich zwischen tatsächlicher Fahrzeit und Fahrzeit mit Geschwindigkeit in der Nacht); in Fahrzeugstunden und CHF (laufender Wert); nach Fahrzeugkategorie (PW, Lieferwagen, Schwere Nutzfahrzeuge) und Tagestyp (Woche oder Wochenende).

en: Time lost due to overloaded roads (comparison of actual travel times with those measured at night); in vehicle-hours and CHF (current value); by vehicle category (cars, light commercial vehicles, trucks) and type of day (weekdays or weekends).

fr: Temps perdu à cause de la surcharge des routes (comparaison entre les temps de trajet effectifs et ceux avec vitesse mesurée la nuit); en véhicules-heures et CHF (valeur courante) ; par catégorie de véhicule (voitures, véhicules utilitaires légers, poids lourds) et type de jour (semaine ou week-end).

it: Tempo perso a causa del sovraccarico delle strade (confronto tra i tempi di percorrenza effettivi e quelli misurati di notte); in ore-veicolo e CHF (valore corrente); per categoria di veicoli (automobili, veicoli commerciali leggeri, veicoli commerciali pesanti) e tipo di giorno (giorno feriale o weekend).

de: Zeitverlustkosten durch Strassenüberlastung 2019-2023

en: Delay costs due to overloaded roads 2019-2023

fr: Coûts de pertes de temps dues à la surcharge des routes 2019 - 2023

it: Costo del tempo perso a causa di strade sovraccariche 2019-2023

de: Externe Effekte des Verkehrs  2022: Haupttabelle

en: External effects of transport 2022 : main table

fr: Effets externes des transports 2022: tableau principal

it: Effetti esterni del trasporto 2022: Tabella principale

de: Externe Effekte des Verkehrs 2022: Sensitivitätsanalysen

en: External effects of transport 2022: Sensitivity analyses

fr: Effets externes des transports 2022: Analyses de sensibilité

it: Effetti esterni del trasporto 2022: Analisi di sensitività

de: Externe Durchschnittskosten und -nutzen 2022 (pro km)

en: Average external costs and benefits 2022 (per km)

fr: Coûts et bénéfices externes moyens 2022 (par km)

it: Costi e benefici esterni medi 2022 (per km)

de: Externe Effekte des Verkehrs 2022 nach Antriebsart

en: External effects of transport 2022 by drive type

fr: Effets externes des transports 2022 par type de propulsion

it: Effetti esterni del trasporto 2022 per sistema di propulsione

de: Externe Effekte des Verkehrs 2022 nach Kanton

en: External effects of transport 2022 by canton

fr: Effets externes des transports 2022 par canton

it: Effetti esterni del trasporto 2022 per Cantone

de: Ergebnisse externe Effekte des Verkehrs 2022 - Übersichttabelle CH

en: Results external effects of transport 2022 - Summary table CH

fr: Résultats effets externes des transports 2022 - Tableau résumé CH

it: Risultati effetti esterni del trasporto 2022 - Tabella riassuntiva CH

de: Ergebnisse externe Effekte des Verkehrs 2022 - Übersichttabelle nach Kanton

en: Results external effects of transport 2022 - Summary table by canton

fr: Résultats effets externes des transports 2022 - Tableau résumé par canton

it: Risultati effetti esterni del trasporto 2022 - Tabella riassuntiva per cantone

de: Externe Kosten und Nutzen 2023 pro Fahrzeug-Kilometer, Tonnen-Kilometer oder Personen-Kilometer, nach Verkehrsmittel und Kostenbereich

en: External costs and benefits 2023 per vehicle-kilometer, ton-kilometer or person-kilometer, by transport mean and cost area, in CHF (current value)

fr: Coûts et bénéfices externes 2023 par véhicule-kilomètre, tonne-kilomètre ou personne-kilomètre, par moyen de transport et domaine de coût.

de: Externe Durchschnittskosten und -nutzen 2023 (pro km)

en: Average external costs and benefits 2023 (per km)

fr: Coûts et bénéfices externes moyens 2023 (par km)

it: Costi e benefici esterni medi 2023 (per km)

de: Kosten der Luftverchmutzung von Verkehr 2023, nach Verkehrsmittel, Raumtyp (städtisch, intermediär, ländlich) und Unterkostenbereich, in CHF (laufender Wert)

en: Air pollution Costs of transport 2023, by transport mean, type of area (urban, intermediate, rural) and cost subarea, in CHF (current value)

fr: Coûts de la pollution de l'air des transports 2023, par moyen de transport, type d'espace (urbain, intermédiaire, rural) et sous-domaine de coût, en CHF (valeur courante)

de: Externe Effekte des Verkehrs 2023: Kosten von Luftverschmutzung nach Raumtyp

en: External effects of transport 2023: costs of air pollution by type of area

fr: Effets externes des transports 2023: coûts de la pollution de l'air par type d'espace

it: Effetti esterni del trasporto 2023: costi dell'inquinamento atmosferico per tipo di spazio

de: Externe Kosten und Nutzen 2023, nach Verkehrsmittel und Unterkostenbereich, in CHF (laufender Wert)

en: External costs and benefits of transport 2023, by mean of transport and cost subarea, in CHF (current value)

fr: Coûts et bénéfices externes 2023, par moyen de transport et par sous-domaine de coûts, en CHF (valeur courante)

de: Externe Effekte des Verkehrs  2023: Haupttabelle

en: External effects of transport 2023 : main table

fr: Effets externes des transports 2023: tableau principal

it: Effetti esterni del trasporto 2023: Tabella principale

de: Externe Kosten und Nutzen des Verkehrs 2023, nach Verkehrsmittel, Antriebsart (fossil, elektrisch, Rest) und Unterkostenbereich, in CHF (laufender Wert)

en: External costs and benefits of transport 2023, by transport mean, drive type (fossil, electric, rest) and cost subarea, in CHF (current value)

fr: Coûts et bénéfices externes des transports en 2023, par mode de transport, par type de propulsion (fossile, électrique, reste) et par sous-domaine de coûts, en CHF (valeur courante)

de: Externe Effekte des Verkehrs 2023 nach Antriebsart

en: External effects of transport 2023 by drive type

fr: Effets externes des transports 2023 par type de propulsion

it: Effetti esterni del trasporto 2023 per sistema di propulsione

de: Externe Kosten und Nutzen des Verkehrs 2023, nach Verkehrsmittel, Kanton und Unterkostenbereich, in CHF (laufender Wert)

en: External costs and benefits of transport 2023, by transport mean, canton and cost subarea, in CHF (current value)

fr: Coûts et bénéfices externes des transports 2023, par moyen de transport, canton et sous-domaine de coûts, en CHF (valeur courante)

de: Externe Effekte des Verkehrs 2023 nach Kanton

en: External effects of transport 2023 by canton

fr: Effets externes des transports 2023 par canton

it: Effetti esterni del trasporto 2023 per Cantone

de: Externe Effekte des Verkehrs 2023: Sensitivitätsanalysen

en: External effects of transport 2023: Sensitivity analyses

fr: Effets externes des transports 2023: Analyses de sensibilité

it: Effetti esterni del trasporto 2023: Analisi di sensitività

de: Ergebnisse externe Effekte des Verkehrs 2023 - Übersichttabelle CH

en: Results external effects of transport 2023 - Summary table CH

fr: Résultats effets externes des transports 2023 - Tableau résumé CH

it: Risultati effetti esterni del trasporto 2023 - Tabella riassuntiva CH

de: Ergebnisse externe Effekte des Verkehrs 2023 - Übersichttabelle nach Kanton

en: Results external effects of transport 2023 - Summary table by canton

fr: Résultats effets externes des transports 2023 - Tableau résumé par canton

it: Risultati effetti esterni del trasporto 2023 - Tabella riassuntiva per cantone


name: Statistisches Amt des Kantons Zürich, Wahlen & Abstimmungen

de:
Echtzeitdaten zu in den Gemeinden der Kantone Zürich, Aargau, Graubünden, Schwyz und Zug stattfindenden kommunalen und regionalen Volksabstimmungen, Majorzwahlen und Proporzwahlen. Es werden nur diejenigen Geschäfte angezeigt, die von den verantwortlichen Gemeinden erfasst und publiziert werden.
Die aktuelle Ressource wird ca. sechs bis vier Wochen vor dem Urnengang publiziert und dann täglich aktualisiert. Am Abstimmungstag erfolgt die Aktualisierung in der Regel alle zehn Minuten.
Die Daten sind bis zur amtlichen Publikation als vorläufige Resultate zu verstehen. Das heisst, dass es auch am Montag oder Dienstag nach dem Urnengang in einzelnen Auszählkreisen noch zu Korrekturen kommen kann.

de: gemeinden politik abstimmungen abstimmungsergebnisse

statistisches-amt-kanton-zuerich

de: Das Statistische Amt ist das Kompetenzzentrum für die öffentliche Statistik im Kanton Zürich. Wir versorgen Bevölkerung, Verwaltung, Politik, Gemeinden, Medien, Firmen und sonstige Organisationen mit qualitativ hochstehenden Daten, Informationen und Fakten zum Kanton Zürich. Inhaltlich arbeiten wir unabhängig und objektiv.

de: Statistisches Amt Kanton Zürich

kanton-zuerich

capacity: public

de: Webservices für Echtzeit-Ergebnisse am Abstimmungssonntag (Bundesamt für Statistik)

de: Wahlen & Abstimmungen: Aktuelle Vorlagen

de: Echtzeitdaten am Wahl- und Abstimmungstag – kommunale und regionale Sachgeschäfte und Wahlen

value: ZH-Kt Statistisches Amt - DCAT Harvester

gove

de: Regierung und öffentlicher Sektor

en: Government and public sector

fr: Gouvernement et secteur public

it: Governo e settore pubblico

de: Um die Stabilität unserer Server nicht zu gefährden, bitten wir die Konsumenten auf eine Direktverlinkung zu verzichten und stattdessen das File in regelmässigen Abständen auf den eigenen Server herunterzuladen.

de: Urnengang vom 26.09.2021 – Abstimmungen und Majorzwahlen

de: Urnengang vom 28.11.2021 – Abstimmungen und Majorzwahlen

de: Urnengang vom 13.02.2022 – Abstimmungen und Majorzwahlen

de: Urnengang vom 15.05.2022 – Abstimmungen und Majorzwahlen

de: Urnengang vom 25.09.2022 – Abstimmungen und Majorzwahlen

de: Urnengang vom 27.11.2022 – Abstimmungen und Majorzwahlen

de: Urnengang vom 12.02.2023 – Abstimmungen und Majorzwahlen

de: Urnengang vom 12.03.2023 – Abstimmungen und Majorzwahlen

de: Urnengang vom 16.04.2023 – Abstimmungen und Majorzwahlen

de: Urnengang vom 18.06.2023 – Abstimmungen und Majorzwahlen

de: Urnengang vom 09.07.2023 – Abstimmungen und Majorzwahlen

de: Urnengang vom 03.09.2023 – Abstimmungen und Majorzwahlen

de: Urnengang vom 22.10.2023 – Abstimmungen und Majorzwahlen

de: Urnengang vom 19.11.2023 – Abstimmungen und Majorzwahlen

de: Urnengang vom 26.11.2023 – Abstimmungen und Majorzwahlen

de: Urnengang vom 28.01.2024 – Abstimmungen und Majorzwahlen

de: Urnengang vom 03.03.2024 – Abstimmungen und Majorzwahlen

de: Urnengang vom 09.06.2024 – Abstimmungen und Majorzwahlen

de: Urnengang vom 22.09.2024 – Abstimmungen und Majorzwahlen

de: Urnengang vom 24.11.2024 – Abstimmungen und Majorzwahlen

de: Urnengang vom 09.02.2025 – Abstimmungen und Majorzwahlen

de: Urnengang vom 09.03.2025 – Abstimmungen und Majorzwahlen

de: Urnengang vom 13.04.2025 – Abstimmungen und Majorzwahlen

de: Urnengang vom 18.05.2025 – Abstimmungen und Majorzwahlen

de: Urnengang vom 29.06.2025 – Abstimmungen und Majorzwahlen

de: Urnengang vom 06.07.2025 – Abstimmungen und Majorzwahlen

de: Urnengang vom 28.09.2025 – Abstimmungen und Majorzwahlen

de: Urnengang vom 26.10.2025 – Abstimmungen und Majorzwahlen

de: Urnengang vom 30.11.2025 – Abstimmungen und Majorzwahlen

de: Urnengang vom 08.03.2026 – Proporzwahlen

de: Urnengang vom 08.03.2026 – Abstimmungen und Majorzwahlen

de: Urnengang vom 12.04.2026 – Abstimmungen und Majorzwahlen

de: Urnengang vom 12.04.2026 – Proporzwahlen

de: Urnengang vom 10.05.2026 – Abstimmungen und Majorzwahlen

de: Urnengang vom 14.06.2026 – Abstimmungen und Majorzwahlen


name: Centre de compétences et de coordination OGD / Kompetenz- und Koordinationszentrum für OGD

fr: Ce jeu de données présente l'estimation mensuelle de la population résidante permanente du canton de Fribourg, ventilée par catégorie de nationalité et par niveau géographique (district, commune), dès décembre 2013.Les effectifs correspondent à une estimation de la population résidante permanente pour le mois considéré. Ils distinguent la population totale, la population de nationalité suisse et la population de nationalité étrangère, cette dernière étant répartie entre les personnes hors domaine de l'asile et celles relevant du domaine de l'asile. La population résidante permanente au sens de STATPOP inclut les personnes de nationalité suisse domiciliées en Suisse ainsi que les personnes de nationalité étrangère disposant d'une autorisation de séjour ou d'établissement d'une durée d'au moins 12 mois. Les personnes relevant du domaine de l'asile peuvent y être incluses selon leur statut et leur durée de séjour.Les données sont harmonisées selon l'état territorial des communes. Jusqu'en 2021, elles n'incluent pas le territoire de l'ancienne commune bernoise de Clavaleyres, intégré à la commune fribourgeoise de Murten/Morat dès 2022.Les données proviennent de la Statistique de la population et des ménages (STATPOP) établie par l'Office fédéral de la statistique. Pour plus d'informations: [https://www.bfs.admin.ch/bfs/fr/home/statistiques/population/enquetes/statpop.assetdetail.35996266.html](https://www.bfs.admin.ch/bfs/fr/home/statistiques/population/enquetes/statpop.assetdetail.35996266.html)

fr: population-residante commune estimations nationalite

ssd

fr: Le Service de la statistique et de la donnée est le centre de compétence cantonal pour la statistique publique. Il collecte, analyse et diffuse des données statistiques sur la situation et l’évolution du canton, soutient les services de l’État dans la gestion des données et coordonne la diffusion des données administratives en libre accès.

en: The Statistics and Data Service is the cantonal competence center for public statistics. It collects, analyzes, and disseminates statistical data on the situation and development of the canton, supports state services in data management, and coordinates the dissemination of administrative data in open access.

de: Das Amt für Statistik und Daten ist das kantonale Kompetenzzentrum für die öffentliche Statistik. Es erhebt, analysiert und verbreitet statistische Daten über die Lage und die Entwicklung des Kantons, unterstützt die Dienststellen des Staats bei der Verwaltung ihrer Daten und koordiniert die Veröffentlichung der offenen Verwaltungsdaten.

it: Il Servizio Statistiche e Dati è il centro di competenza cantonale per la statistica pubblica. Raccoglie, analizza e diffonde dati statistici sulla situazione e l'evoluzione del cantone, supporta i servizi statali nella gestione dei dati e coordina la diffusione dei dati amministrativi ad accesso aperto.

de: Amt für Statistik und Daten Freiburg

en: Statistics and Data Service Fribourg

fr: Service de la statistique et de la donnée Fribourg

it: Servizio Statistiche e Dati Friburgo

de: ssd

value: DCAT Harvester Kt. FR

soci

de: Bevölkerung und Gesellschaft

en: Population and society

fr: Population et société

it: Popolazione e società

fr: Estimation mensuelle de la population résidante permanente, par nationalité, dès décembre 2013 (csv)

fr: csv

fr: Estimation mensuelle de la population résidante permanente, par nationalité, dès décembre 2013 (json)

fr: json

fr: Estimation mensuelle de la population résidante permanente, par nationalité, dès décembre 2013 (jsonl)

fr: jsonl

fr: Estimation mensuelle de la population résidante permanente, par nationalité, dès décembre 2013 (parquet)

fr: parquet

format: PARQUET

fr: Estimation mensuelle de la population résidante permanente, par nationalité, dès décembre 2013 (rdfxml)

fr: rdfxml

format: RDF XML

media_type: application/rdf+xml

fr: Estimation mensuelle de la population résidante permanente, par nationalité, dès décembre 2013 (jsonld)

fr: jsonld

format: JSON-LD

fr: Estimation mensuelle de la population résidante permanente, par nationalité, dès décembre 2013 (turtle)

fr: turtle

format: RDF Turtle

media_type: text/turtle

fr: Estimation mensuelle de la population résidante permanente, par nationalité, dès décembre 2013 (n3)

fr: Estimation mensuelle de la population résidante permanente, par nationalité, dès décembre 2013 (xlsx)

fr: xlsx

commune

display_name: commune

estimations

display_name: estimations

nationalite

display_name: nationalite

population-residante

display_name: population-residante


en: Aligned complex-valued projections and tomographic datasets from 3 PXCT acquisitions on the same catalyst specimen primarily composed of zeolite, alumina, and nickel, acquired at 3 different photon energies close to the nickel absorption edge. The file information.txt contains a description of the data. We also include the software scripts used to process the data.

scicat

en: SciCat is a community driven scientific metadata catalog designed to simplify metadata management, enabling data sharing, discovery, and collaboration. By providing a central hub for metadata, SciCat makes data easily findable and accessible for the entire community. With flexible integration into diverse infrastructures and a clear path to data publication, SciCat empowers organizations to foster an open and innovative data culture, driving high-quality science forward.

en: SciCat

de: SciCat

fr: SciCat

it: SciCat

de: PSI Open Data Provider

en: Aligned complex-valued projections and 3D tomographic datasets from a catalyst specimen

value: DCAT Harvester SciCat

envi

de: Umwelt

en: Environment

fr: Environnement

it: Ambiente


en: Energy flows among coupled subsystems are essential for ultrafast dynamics and high-speed technologies. In magnetic materials, spin fluctuations -magnons- mediate these flows in ultrafast magnetism. Yet momentum-resolved access to low-energy magnons governing the microscopic dynamics has been lacking. Using time-resolved resonant diffuse scattering alongside complementary time-resolved X-ray techniques and quantum-kinetic simulations, we unveil the hierarchical energy pathways among correlated systems in the photoexcited antiferromagnet CuO. Above-bandgap excitation triggers near-instantaneous spin disorder, generating non-thermal magnons throughout reciprocal space within femtoseconds. Real-time momentum-resolved tracking reveals picosecond magnon quasi-thermalization, followed by nanosecond recovery via momentum-selective magnon-phonon scattering. The quasiparticle dispersion mismatch creates recovery bottlenecks that control non-equilibrium lifetimes. This microscopic framework transcends phenomenological models and generalizes across materials, establishing design principles for ultrafast control of material properties.

en: Hierarchical quasiparticle dynamics in antiferromagnets revealed by time- and momentum-resolved X-ray scattering


en: The upgrade of the 3rd generation synchrotrons to diffraction-limited storage rings will enable a gain of up to two orders of magnitude in brilliance and further enable the creation of multiple macromolecular crystallography (MX) beamlines capable of delivering fluxes in excess of 1x10^15 photons·s−1; here called extremely high flux (EHF) MX beamlines. These beamlines, such as ID29, ESRF-EBS, BioCARS, APS-U, and MicroMAX, MAX IV, have all either been partly or solely geared toward delivering time-resolved MX experiments at room temperature and realising microsecond time resolutions. Given the uncharted territory of using dose rates in excess of 50 GGy·s−1 at many facilities, this article has examined some of the expected consequences suggesting that considerable attention should be paid to beam heating effects for < 20 μm crystals exposed to 1x10^15 photons·s−1. Several strategies have been proposed to mitigate heating effects when high dose rates are required for a time-resolved experiment, including reducing the absorbed dose by increasing the size of the crystal and the beam profile and explicitly exploiting the motion of the crystal in serial crystallography delivery systems. The model presented here is intended to serve as a useful tool to inform experimental design and support users’ decision-making in such cases.

en: Modelling of radiation damage and beam induced crystal heating of room-temperature samples at extremely high flux MX beamlines for time-resolved crystallography applications


en: This repository contain the experimental data for  the magnetic orders and excitations of the distorted kagome intermetallic magnet TmAgGe published in Phys. Rev. B 107, 224419 (2023). Single crystal diffraction and inelastic neutron diffraction was carried out on the Zebra and CAMEA beamlines at the Paul Scherrer Institut.

en: camea magnetic-structure magnetic-excitations zebra tmagge sinq

en: Magnetic ground state and perturbations of the distorted kagome Ising metal TmAgGe

camea

display_name: camea

magnetic-excitations

display_name: magnetic-excitations

magnetic-structure

display_name: magnetic-structure

sinq

display_name: sinq

tmagge

display_name: tmagge

zebra

display_name: zebra


en: Data displayed in the figures of the publication "Observation and control of maximal Chern numbers in a chiral topological semimetal" to appear in N.B.M. Schröter et al., Science aaz3480 (2020)

en: ARPES data linked to the publication N.B.M. Schröter et al., Science aaz3480 (2020)


en:
This dataset contains radially integrated scattering data from narwhal tusk slices measured to investigate the tusk’s unique spiral structure with highly anisotropic mechanical properties. The full dataset comprises approximately 4400 scan folders, each corresponding to an line of a 2D grid scan. The subset associated with the publication by A. Rodriguez-Palomo, M. Liebi, H. Birkedal et al., “The narwhal tusk assembles its macroscopic helix from building blocks with opposing twists”, Nature Communications (2026), includes thin slices from two male narwhal tusks measured in transversal and longitudinal orientations.

The publication-relevant samples are: tusk 1, ID001 (transversal cut, scans 03115-03465), ID002 (transversal cut, scans 02714-03114), ID009 (longitudinal cut, scans 01767-02067), and ID010 (longitudinal cut,  scans 00702-01077); tusk 2, ID022 (transversal cut, scans 02068-02412), ID027 (transversal cut, scans 01078-01465), ID028 (longitudinal cut, scans 02413-02713), and ID029 (longitudinal cut, scans 01466-01766). These scan ranges identify the data used in the associated article within the larger dataset.


en:
Supporting data for Ferajoui et.al. A 1 Megapixel charge integrating hybrid pixel detector for electron diffraction JINST 20 202510.1088/1748-0221/20/12/C12007

The research leading to these results has received funding from the Swiss National Science Foundation
(Grant n◦ 215650) and the Austrian Science Fund (Grant n◦
I 6546-N).

en: Sparse electron data recorded with Jungfrau


en: The goal of this proposal is to explore the competition between electron and energy transfer from photoexcited tryptophan to the heme group in ferrous and ferric Cytochrome c in physiological media. Cyt c contains only one tryptophan amino-acid residue, whose decay is still debated. While previous works alluded to an energy transfer, our recent experimental and theoretical studies raise the question of a competing electron transfer process, possibly simultaneous to a back-electron transfer in a Dexter process. This question can be resolved by monitoring the response of the central iron atom via femtosecond X-ray emission and X-ray absorptions, only possible due to the high peak brightness and short pulse duration of x-ray FELs.

en: Energy vs Electron Transfer Tryptophan-to-Heme in Cytochrome C


en:
This repository contains the complete dataset and associated software supporting the publication:
“In-Situ Ptychographic Nanotomography Captures Activation, Mobility, and Deactivation of Supported Catalysts”

The data were acquired using in-situ ptychographic X-ray computed nanotomography (PXCT) and used to investigate structural evolution of Pd-on-silica catalysts under methane oxidation conditions.
Experiments were performed at the cSAXS beamline of the SLS.

The dataset includes raw diffraction data, reconstructed projections, 3D electron density tomograms, and analysis/reconstruction codes.

Codes:
cxs_software_ptychography/  Contains ptychographic reconstruction routines (phase retrieval, scan handling, preprocessing).
cxs_software_tomography/    Contains tomographic reconstruction and 3D volume processing tools.

Raw Data
S03000-03999_ID ...     Raw diffraction datasets acquired during in-situ scanning nanotomography experiments

Reconstructed Data
analysis_S03000-03999 ...    Includes phase and/or amplitude porjection reconstructions
reconstructed_tomograms    Volumetric datasets derived from ptychographic projections used for analysis

scicat

en: SciCat is a community driven scientific metadata catalog designed to simplify metadata management, enabling data sharing, discovery, and collaboration. By providing a central hub for metadata, SciCat makes data easily findable and accessible for the entire community. With flexible integration into diverse infrastructures and a clear path to data publication, SciCat empowers organizations to foster an open and innovative data culture, driving high-quality science forward.

en: SciCat

en: Data and Software Supporting: In-Situ Ptychographic Nanotomography Captures Activation, Mobility, and Deactivation of Supported Catalysts

heterogeneous-catalysis

display_name: heterogeneous-catalysis

x-ray-ptychography

display_name: x-ray-ptychography

x-ray-tomography

display_name: x-ray-tomography


en:
Double hydroxide perovskites with magnetic transition-metal ions were recently identified as a unique class of materials that combine magnetic frustration with correlated proton disorder - a prerequisite for quantum-disordered fluctuating magnetic ground states resembling spin liquids. Here we present the results of muon spin relaxation (muSR) measurements carried out on fully deuterated samples of the double hydroxyperovskites CuSn(OH)6 (S=1/2) and MnSn(OH)6 (S=5/2) over the temperature range 0.053-50 K. The absence of any long-range magnetic order is confirmed down to 0.053 K. We observe no oscillations of the muon asymmetry down to the lowest temperature. The muon relaxation rates show a continuous increase with decreasing temperature, indicating persistent spin fluctuations in both compounds. Spin correlations are consistent with homogeneous spin dynamics. These observations reinforce the assertion that both compounds have a quantum-dynamic magnetic ground state that is consistent with a spin-liquid-like phase stabilized by proton disorder.
This dataset contains the corresponding muon spin spectroscopy raw time histograms, measured on CuSn(OD)6 and MnSn(OD)6.

en: Dataset: Spin-liquid-like ground states in the double hydroxyperovskites CuSn(OD)6 and MnSn(OD)6 evidenced by muSR spectroscopy

envi

en: Environment

flame

display_name: flame

smus

display_name: smus


en: Low-energy muSR (LE-muSR) enables depth-resolved studies of magnetic and electronic properties from the surface into the near-surface region, but the measured transverse-field asymmetry is not an intrinsic constant but depends on implantation energy and beamline conditions. Following an upgrade of the single-muon tagging system at the LEM beamline at PSI in 2023, updated asymmetry calibrations are required. Here, we present updated reference measurements that establish the energy-dependent maximum asymmetry using a silver reference and quantify spurious contributions from reflected muons using a nickel reference. In addition, we address systematic reductions of the measured asymmetry arising from incomplete beam--sample overlap by introducing a sample-size-dependent correction factor. This factor is obtained from musrSim/Geant4 simulations incorporating an updated electrostatic field map of the sample environment and is benchmarked using implantation-energy scans on SrTiO3 samples of different dimensions. Together, these updated calibrations and the simulation-based overlap correction provide a practical and up-to-date framework for LE-muSR data correction under current beam conditions and enable quantitative depth-resolved analysis of (dia)magnetic volume fractions.

en: Correcting the Depth-Dependent Asymmetry in Low-Energy muSR


en: The ability of photofunctional organic molecules to perform chemical/mechanical work or convert photons into electrons results from a complex interplay between charge transfer and transient atomic rearrangements involving the local environment. These ultrafast structural dynamics have remained elusive experimentally, preventing a mechanistic understanding of the electronic-nuclear couplings. We will use the high X-ray photon flux and sub ps time resolution of the SwissFEL to realize the first X-ray scattering observation of solute-solvent dynamics following photoinduced charge transfer in an organic chromophore. The sensitivity of the scattering to changes in atomic distances will be exploited not only to track in real time the intra- and intermolecular structural dynamics but also to identify the electronic changes that trigger them. The results will pave the way for a better understanding of the factors governing the outcomes of photoreactions across chemistry and biology.

en: Photoinduced intramolecular and solvation dynamics of an organic chromophore in polar solvent


en:
The extinct plant group Bennettitales (Cycadeoidales) was a prominent part of Mesozoic vegetation. The group has been studied extensively and for more than 100 years it has been central in discussions of the relationships among the major groups of seed plants in which extinct plants were also considered. Despite much effort the phylogenetic position of the Bennettitales is still unresolved with a major obstacle being uncertainty about how to interpret the organisation and structure of the seed. The most widely accepted interpretation has been that the seed, like the seeds of most conifers, has a single integument around the nucellus and lacks any additional coverings. An alternative interpretation is that the seed integument is surrounded by an envelope comparable to the situation in extant Gnetales and extinct Erdtmanithecales. The petrified seed cone of Cycadeoidea (Bennettites) morierei described in the late nineteenth century from the Early Cretaceous of Normandy is one of the most informative bennettitalean reproductive structures with its superb preservation offering great potential for resolving the unsettled discussion regarding seed structure in Bennettitales.
	C. morierei was carefully documented by Octave Lignier in his monumental study “Végétaux fossiles de Normandie. Structure et affinités du Bennettites morierei Sap. & Mar. (sp.)” from 1894, but despite his meticulous analysis of the fossil, Lignier left certain questions open in his interpretation and in his widely cited reconstruction of the structure of the seed. In the paper associated with the datasets provided here we have re-examined fragments of Cycadeoidea morierei using synchrotron X-ray tomographic microscopy (SRXTM) to attempt to answer some of these open questions.
	Cycadeoidea morierei is based on a single petrified seed cone. The specimen was fractured by Lignier, who prepared several thin sections, in longitudinal as well as transverse directions in preparing his account. The original material was stored at the University of Caen, France, but most was lost during the second World War. However, several larger and smaller fragments of the seed cone were later recovered at the university and made available for the present study. Among the fragments studied using SRXTM were small isolated, abraded seeds and interseminal scales (e.g., fragments 6 and 8) and a few small groups of fractured seeds and interseminal scales still tightly packed together (e.g., fragment 17). Typically, these small fragments are broken at the base and only rarely are remains of the seed stalk preserved. One larger fragment (fragment 24) consists of several seeds with seed stalks intact. For comparison with Cycadeoidea morierei we also examined a fragment of another classic petrified seed cone, Cycadeoidea gibsoniana from the Early Cretaceous of isle of Wight, Southern England, using SRXTM. The results, combined with a comparative survey of other fossil material, indicate that the seeds of Bennettitales had at least one, perhaps two, envelopes covering the integument, comparable to what is seen among extant Gnetales, extinct Erdtmanithecales, and diverse fossil seeds recovered from Early Cretaceous mesofossil assemblages. Most of the SRXTM analyses of the Cycadeoidea material were carried during 2009-2023 on the TOMCAT beamline, SLS, Paul Scherrer Institute, Villigen, Switzerland. Fragment 24 was analysed at the new I-TOMCAT beamline at SLS in November 2025.

en: Synchrotron radiation X-ray tomographic microscopy datasets for seed structure in Cycadeoidea morierei


apoferritin

en:
CryoEM dataset of Apoferritin collected on a FEI Titan Krios G4 microscope equipped with a Falcon 4i detector.
First public dataset of the OpenEM project. For more information on the project: https://swissopenem.github.io

en: Apoferritin

title_for_slug: apoferritin


en: We report a methodology using machine learning to capture chemical intuition from a set of (partially) failed attempts to synthesize a metal organic framework. We define chemical intuition as the collection of unwritten guidelines used by synthetic chemists to find the right synthesis conditions. As (partially) failed experiments usually remain unreported, we have reconstructed a typical track of failed experiments in a successful search for finding the optimal synthesis conditions that yields HKUST-1 with the highest surface area reported to date. We illustrate the importance of quantifying this chemical intuition for the synthesis of novel materials.

materialscloud

en:
Materials Cloud is a platform built to enable the seamless sharing and dissemination of resources in computational materials science, offering educational, research, and archiving tools; simulation software and services; and curated and raw data. These underpin published results and empower data-based discovery, compliant with data management plans and the FAIR principles.

In the Materials Cloud you can browse, explore, download, or deposit raw and curated data (in the Discover, Explore, and Archive sections); you can access cloud or redeployable simulation services (from AiiDAlab turnkey simulations to the Quantum Mobile virtual machine, the AiiDA registry of plugins and workflows, and the OSSCAR notebooks, in the Work section), and you can use all our educational material, tutorials and lectures (in the Learn section).

en: Materials Cloud

de: Materials Cloud

fr: Materials Cloud

it: Materials Cloud

en: Capturing chemical intuition in synthesis of metal-organic frameworks

value: DCAT Harvester Materials Cloud

genetic-algorithms

display_name: genetic-algorithms

machine-learning

display_name: machine-learning

marvel

display_name: marvel

metal-organic-frameworks

display_name: metal-organic-frameworks

optimisation

display_name: optimisation

robotic-synthesi

display_name: robotic-synthesi

synthesis

display_name: synthesis


en: Here we present 1,000 structures each of a water monomer, water dimer, Zundel cation and bulk water used to train tensorial machine-learning models in Phys. Rev. Lett. 120, 036002 (2018). The archive entry contains files in extended-XYZ format including the structures and several tensorial properties: for the monomer, dimer and Zundel cation, the dipole moment, polarizability and first hyperpolarizability are included, and for bulk water the dipole moment, polarizability and dielectric tensor are given.

en: Symmetry-Adapted Machine Learning for Tensorial Properties of Atomistic Systems

bulk

display_name: bulk

dielectric-tensor

display_name: dielectric-tensor

dipole-moment

display_name: dipole-moment

hyperpolarizability

display_name: hyperpolarizability

molecular

display_name: molecular

polarizability

display_name: polarizability

water

display_name: water


en: Biomolecular simulations have a great potential in protein engineering, drug discovery and many other fields. Unfortunately, this method is computationally expensive, so many interesting processes cannot be routinely studied. In order to address this problem we developed Flying Gaussian method [Journal of Chemical Theory and Computation 12, 4644-4650 (2016)]. This method simultaneously simulates multiple replicas of the studied system and disfavor replicas with similar structures by artificial bias potential. The question arises how to calculate an unbiased free energy surface from a biased simulation. This dataset demonstrates together with mathematical arguments supports application of Umbrella Sampling reweighing method, despite the fact that this method is designed for methods with a time-independent bias potential.

en: Free-Energy Surface Prediction by Flying Gaussian Method: Numerical Proof

flying-gaussian-method

display_name: flying-gaussian-method

metadynamics

display_name: metadynamics

molecular-dynamics-simulation

display_name: molecular-dynamics-simulation

sampling

display_name: sampling


envi

en: Environment


en:
Metal–organic frameworks (MOFs), a class of porous materials, are of particular interest in gas storage and separation applications due largely to their high internal surface areas and tunable structures. MOF-5 is perhaps the archetypal MOF; in particular, many isoreticular analogues of MOF-5 have been synthesized, comprising alternative dicarboxylic acid ligands. In this contribution we introduce a new set of hypothesized MOF-5 analogues, constructed from commercially available organic molecules. We describe our automated procedure for hypothetical MOF design, comprising selection of appropriate ligands, construction of 3D structure models, and structure relaxation methods. 116 MOF-5 analogues were designed and characterized in terms of geometric properties and simulated methane uptake at conditions relevant to vehicular storage applications. A strength of the presented approach is that all of the hypothesized MOFs are designed to be synthesizable utilizing ligands purchasable online.

Version 2 includes the structures in CIF format.

en: Mail-order metal-organic frameworks (MOFs): designing isoreticular MOF-5 analogues comprising commercially available organic molecules

database

display_name: database

dc

display_name: dc

deliverable-capacities

display_name: deliverable-capacities

gcmc

display_name: gcmc

grand-canonical-monte-carlo

display_name: grand-canonical-monte-carlo

high-throughput

display_name: high-throughput

methane-storage

display_name: methane-storage

nanoporous

display_name: nanoporous

three-dimensional

display_name: three-dimensional


en: In most applications of nanoporous materials the pore structure is as important as the chemical composition as a determinant of performance. For example, one can alter performance in applications like carbon capture or methane storage by orders of magnitude by only modifying the pore structure. For these applications it is therefore important to identify the optimal pore geometry and use this information to find similar materials. However, the mathematical language and tools to identify materials with similar pore structures, but different composition, has been lacking. Recently, we developed a pore recognition approach to quantify similarity of pore structures using topological data analysis. Barcodes generated with using this approach allow us to identify materials with similar pore geometries, and to screen for materials that are similar to given top-performing structures. This database has barcodes for zeolites, metal organic frameworks, and zeolitic imidazolate frameworks.

en: Barcodes for nanoporous materials

marvel

display_name: marvel

metal-organic-frameworks

display_name: metal-organic-frameworks

nanoporous-materials

display_name: nanoporous-materials

persistence-homology

display_name: persistence-homology

topological-data-analysis

display_name: topological-data-analysis

zeolites

display_name: zeolites


barcodes-for-nanoporous-materials

title_for_slug: barcodes-for-nanoporous-materials


en: We report a large-scale density-functional-theory study of the configuration space of water ice. We geometry optimise 74,963 ice structures, which are selected and constructed from over five million tetrahedral networks listed in the databases of Treacy and Deem, and the International Zeolite Association database. All prior knowledge of ice is set aside and we introduce generalised convex hulls to identify configurations stabilised by appropriate thermodynamic constraints. We thereby rediscover all known phases (I to XVII, i, 0 and the quartz phase) except the metastable ice IV. Crucially, we also find promising candidates for ices XVIII through LI. Using the sketch-map dimensionality-reduction algorithm we construct an a priori, navigable map of configuration space, which reproduces similarity relations between structures and highlights the novel candidates. By relating the known phases to the tractably small, yet structurally diverse set of synthesisable candidate structures, we provide an excellent starting point for identifying formation pathways.

en: Mapping uncharted territory in ice from zeolite networks to ice structures

dft

display_name: dft

first-principles

display_name: first-principles

ice

display_name: ice

water

display_name: water


database

display_name: database


en: The nature of the bulk hydrated electron has been a challenge for both experiment and theory due to its short lifetime and high reactivity, and the need for a high-level of electronic structure theory to achieve predictive accuracy. The lack of a classical atomistic structural formula makes it exceedingly difficult to model the solvated electron using conventional empirical force fields, which describe the system in terms of interactions between point particles associated with atomic nuclei. Here we overcome this problem using a machine-learning model, that is sufficiently flexible to describe the effect of the excess electron on the structure of the surrounding water, without including the electron in the model explicitly. The resulting potential is not only able to reproduce the stable cavity structure but also recovers the correct localization dynamics that follow the injection of an electron in neat water. The machine learning model achieves the accuracy of the state-of-the-art correlated wave function method it is trained on. It is sufficiently inexpensive to afford a full quantum statistical and dynamical description and allows us to achieve accurate determination of the structure, diffusion mechanisms, and vibrational spectroscopy of the solvated electron.

en: Simulating the ghost: quantum dynamics of the solvated electron

cscs

display_name: cscs

machine-learning

display_name: machine-learning

moller-plesset-perturbation-theory

display_name: moller-plesset-perturbation-theory

quantum-dynamics

display_name: quantum-dynamics

snsf

display_name: snsf

solvated-electron

display_name: solvated-electron


marvel

display_name: marvel


en: In this work, we present a comprehensive dataset designed to facilitate the prediction of metal fatigue life using deep learning techniques. The dataset includes detailed experimental data from 40 different metallic materials, comprising a total of 1195 data points under 48 distinct loading paths. Each data point is stored in a CSV file, capturing the loading path as a time-series with axial and tangential stress or strain values.The primary purpose of this dataset is to support the development and validation of deep learning models aimed at accurately predicting the fatigue life of metals under various loading conditions. This dataset includes stress-controlled and strain-controlled data, ensuring a broad representation of experimental scenarios. Additionally, an Excel file accompanies the dataset, providing detailed mechanical properties of each material, such as elastic modulus, tensile strength, yield strength, and Poisson's ratio, along with references to the original experimental sources.This dataset is intended for researchers in materials science and mechanical engineering, offering a robust foundation for training and testing deep learning algorithms in fatigue analysis. By making this dataset publicly available, we aim to foster collaboration and further advancements in the field of metal fatigue prediction. Researchers are encouraged to utilize and contribute to the dataset, thereby enhancing its scope and applicability.

en: A deep learning dataset for metal multiaxial fatigue life prediction

deep-learning

display_name: deep-learning

fatigue-life-prediction

display_name: fatigue-life-prediction

metal-fatigue

display_name: metal-fatigue

multiaxial-fatigue

display_name: multiaxial-fatigue


en: We introduce and discuss the phenomenon of adatom-induced surface local melting, using extensive first-principles molecular dynamics simulations of Al(100) taken as a paradigmatic case of a non-premelting surface that nevertheless displays facile adatom diffusion with single and multiple exchange pathways. Here, a single adatom deposited on the surface is sufficient to nucleate a localized and diffusing liquid-like region that remains confined to the surface layer, but with an area that increases with temperature; in the absence of the adatom, the surface instead remains crystalline until reaching the bulk melting temperature.

materialscloud

en:
Materials Cloud is a platform built to enable the seamless sharing and dissemination of resources in computational materials science, offering educational, research, and archiving tools; simulation software and services; and curated and raw data. These underpin published results and empower data-based discovery, compliant with data management plans and the FAIR principles.

In the Materials Cloud you can browse, explore, download, or deposit raw and curated data (in the Discover, Explore, and Archive sections); you can access cloud or redeployable simulation services (from AiiDAlab turnkey simulations to the Quantum Mobile virtual machine, the AiiDA registry of plugins and workflows, and the OSSCAR notebooks, in the Work section), and you can use all our educational material, tutorials and lectures (in the Learn section).

en: Materials Cloud

en: Adatom-Induced Local Melting

aluminum

display_name: aluminum

defects

display_name: defects

first-principles-molecular-dynamics

display_name: first-principles-molecular-dynamics

surface-melting

display_name: surface-melting


adatom-induced-local-melting

title_for_slug: adatom-induced-local-melting


en: Charge equilibration (Qeq) methods can estimate the electrostatic potential of molecules and periodic frameworks by assigning point charges to each atom, using only a small fraction of the resources needed to compute density functional (DFT)-derived charges. This makes possible, for example, the computational screening of thousands of microporous structures to assess their performance for the adsorption of polar molecules. Recently, different variants of the original Qeq scheme were proposed to improve the quality of the computed point charges. One focus of this research was to improve the gas adsorption predictions in Metal Organic Frameworks (MOFs), for which many different structures are available. In this work, we review the evolution of the method from the original Qeq scheme, understanding the role of the different modifications on the final output. We evaluated the result of combining different protocols and set of parameters, by comparing the Qeq charges with high quality DFT-derived DDEC charges for 2338 MOF structures. We focused on the systematic errors that are attributable to specific atom types to quantify the final precision that one can expect from Qeq methods in the context of gas adsorption where the electrostatic potential plays a significant role, namely CO2 and H2S adsorption. In conclusion, both the type of algorithm and the input parameters have a large impact on the resulting charges and we draw some guidelines to help the user to choose the proper combination of the two for obtaining a meaningful set of charges. We show that, considering this set of MOFs, the accuracy of the original Qeq scheme is often still comparable with the most recent variants, even if it clearly fails in the presence of certain atom types, such as alkali metals.

en: Evaluating charge equilibration methods to generate electrostatic fields in nanoporous materials

charge-equilibration-methods

display_name: charge-equilibration-methods

partial-charges

display_name: partial-charges

qeq

display_name: qeq


en: We report a methodology using machine learning to capture chemical intuition from a set of (partially) failed attempts to synthesize a metal organic framework. We define chemical intuition as the collection of unwritten guidelines used by synthetic chemists to find the right synthesis conditions. As (partially) failed experiments usually remain unreported, we have reconstructed a typical track of failed experiments in a successful search for finding the optimal synthesis conditions that yields HKUST-1 with the highest surface area reported to date. We illustrate the importance of quantifying this chemical intuition for the synthesis of novel materials.

en: Capturing chemical intuition in synthesis of metal-organic frameworks

envi

en: Environment

genetic-algorithms

display_name: genetic-algorithms

machine-learning

display_name: machine-learning

metal-organic-frameworks

display_name: metal-organic-frameworks

optimisation

display_name: optimisation

robotic-synthesi

display_name: robotic-synthesi

synthesis

display_name: synthesis


en:
We provide the input files needed to reproduce the results of the article

Toward GW Calculations on Thousands of Atoms
J. Wilhelm, D. Golze, L. Talirz, J. Hutter, C. A. Pignedoli
J. Phys. Chem. Lett.  9, 306–312 (2018) DOI:10.1021/acs.jpclett.7b02740

The GW approximation of many-body perturbation theory is an accurate method
for computing electron addition and removal energies of molecules and solids.
In a canonical implementation, however, its computational cost is  in the
system size N, which prohibits its application to many systems of interest.
We present a full-frequency GW algorithm in a Gaussian-type basis,
whose computational cost scales with N2 to N3.
The implementation is optimized for massively parallel execution on
state-of-the-art supercomputers and is suitable for nanostructures and molecules in the gas,
liquid or condensed phase, using either pseudopotentials or all electrons.
We validate the accuracy of the algorithm on the GW100 molecular test set,
finding mean absolute deviations of 35 meV for ionization potentials and 27 meV
for electron affinities. Furthermore, we study the length-dependence of quasiparticle
energies in armchair graphene nanoribbons of up to 1734 atoms in size, and compute the
local density of states across a nanoscale heterojunction.

abinitio

display_name: abinitio

dft

display_name: dft

graphene

display_name: graphene

gw

display_name: gw

high-performance-computing

display_name: high-performance-computing

marvel

display_name: marvel

nanoribbon

display_name: nanoribbon

scaling

display_name: scaling


en: Toward GW Calculations on Thousands of Atoms


en: Porous polymer networks (PPNs) are a class of advanced porous materials that combine the advantages of cheap and stable polymers with the high surface areas and tunable chemistry of metal–organic frameworks. They are of particular interest for gas separation or storage applications, for instance, as methane adsorbents for a vehicular natural gas tank or other portable applications. PPNs are self-assembled from distinct building units; here, we utilize commercially available chemical fragments and two experimentally known synthetic routes to design in silico a large database of synthetically realistic PPN materials. All structures from our database of 18,000 materials have been relaxed with semiempirical electronic structure methods and characterized with Grand-canonical Monte Carlo simulations for methane uptake and deliverable (working) capacity. A number of novel structure–property relationships that govern methane storage performance were identified. The relationships are translated into experimental guidelines to realize the ideal PPN structure. We found that cooperative methane–methane attractions were present in all of the best-performing materials, highlighting the importance of guest interaction in the design of optimal materials for methane storage.

en: In Silico Design of Porous Polymer Networks: High Throughput Screening for Methane Storage Materials

database

display_name: database

dc

display_name: dc

deliverable-capacities

display_name: deliverable-capacities

gcmc

display_name: gcmc

grand-canonical-monte-carlo

display_name: grand-canonical-monte-carlo

high-throughput

display_name: high-throughput

methane-storage

display_name: methane-storage

nanoporous

display_name: nanoporous

porous-polymer-networks

display_name: porous-polymer-networks

ppn

display_name: ppn

three-dimensional

display_name: three-dimensional


deep-learning

display_name: deep-learning

fatigue-life-prediction

display_name: fatigue-life-prediction

metal-fatigue

display_name: metal-fatigue

multiaxial-fatigue

display_name: multiaxial-fatigue