uas-aktivitatszonen-schweiz

$oid: OBSOLETE

de:
Die UAS Aktivitätszonenkarte (UAS Awareness Map) zeigt Gebiete mit genehmigten BVLOS-Betriebsaktivitäten von unbemannten Luftfahrzeugen (UAS). Zweck der Veröffentlichung dieser Gebiete ist es, das Situationsbewusstsein der bemannten Luftfahrt zu erhöhen und relevante Kontaktinformationen bereitzustellen. Die Konsultation dieser Informationen über die UAS Aktivitätszonenkarte (UAS Awareness Map) hat keinen Einfluss auf die Flugsicherheit und ist nicht verpflichtend.

 Die UAS Aktivitätszonenkarte (UAS Awareness Map) stellt ausschliesslich BVLOS UAS-Operationen dar.

 Wichtiger Hinweis:

Der UAS-Betreiber / Fernpilot bleibt vollständig verantwortlich für die Luftraumüberwachung und die Gewährleistung der Separation gegenüber bemannten Luftfahrzeugen [UAS.SPEC.060 (3) Annex der Durchführungsverordnung (EU) 2019/947 / SERA.3201].

Die dargestellten Gebiete dienen ausschliesslich der situativen Information.

Die dargestellten Betriebsvolumina entsprechen Einsätzen, die in der Spezifischen Kategorie genehmigt wurden, mit Verfahren, die entsprechend dem bewerteten lokalen Risikoniveau festgelegt und validiert sind und den Anforderungen der Verordnung (EU) 2019/947 entsprechen.

 Bei Fragen oder Koordinationsanfragen wenden Sie sich bitte an den jeweiligen Betreiber. Die Kontaktdaten sind im Informationspanel der Zonen verfügbar.

fr:
La UAS Awareness Map indique les zones d’opérations BVLOS autorisées d’aéronefs sans équipage (UAS). L’objectif de la publication de ces zones est d’améliorer la connaissance de la situation pour l’aviation habitée et de fournir des informations de contact. La consultation de ces informations à travers la UAS Awareness Map n'influence pas la sécurité du vol et n’est pas obligatoire.

 La UAS Awareness Map ne représente que des opérations UAS en mode BVLOS.

 Note importante :

L’opérateur UAS / pilote à distance demeure entièrement responsable de la surveillance de l’espace aérien et du maintien de la séparation avec les aéronefs habités [UAS.SPEC.060 (3) ANNEX TO IMPLEMENTING REGULATION (EU) 2019/947 / SERA.3201].

Les zones affichées sont fournies uniquement à des fins d'information contextuelle.

Les volumes opérationnels représentés correspondent à des opérations approuvées dans la catégorie Spécifique, avec des procédures établies et validées en fonction du niveau de risque local évalué et conformément au règlement (UE) 2019/947.

 Pour toute question ou demande de coordination, veuillez contacter l’opérateur concerné. Les coordonnées sont disponibles dans le panneau d’information des zones.

it:
La mappa UAS Awareness indica le aree in cui sono autorizzate operazioni BVLOS di aeromobili senza pilota (UAS). La pubblicazione di tali aree ha lo scopo di aumentare la consapevolezza situazionale per l’aviazione con equipaggio e fornire informazioni di contatto rilevanti. La consultazione di queste informazioni sulla mappa UAS Awareness non modifica la sicurezza del volo e non è obbligatoria.

 La mappa UAS Awareness riporta esclusivamente operazioni UAS in modalità BVLOS.

 Nota importante:

L’operatore UAS/pilota remoto rimane pienamente responsabile del monitoraggio dello spazio aereo e del mantenimento della separazione dagli aeromobili con equipaggio [UAS.SPEC.060(3)-AllegatoalRegolamentodiesecuzione(UE)2019/947/SERA.3201].

Le aree visualizzate sono fornite esclusivamente a fini di consapevolezza situazionale.

 I volumi operativi mostrati corrispondono a operazioni approvate nella Categoria Specifica, con procedure stabilite e validate secondo il livello di rischio locale valutato e in conformità al Regolamento (UE) 2019/947.

 Per domande o richieste di coordinamento, si prega di contattare il rispettivo operatore. I dettagli di contatto sono disponibili nel pannello informativo delle zone.

en:
The UAS Awareness Map indicates areas of authorised BVLOS unmanned aircraft (UAS) operations. The purpose of the publication of such areas is to enhance situational awareness for manned aviation and provide relevant contact information. Consulting this information from the UAS Awareness Map doesn’t change the safety of your flight and is not a requirement.

 The UAS Awareness Map depicts BVLOS UAS operations only.

 Important note:

UAS operator/remote pilot remain fully responsible for airspace monitoring and for ensuring separation from manned aircraft [UAS.SPEC.060 (3) ANNEX TO IMPLEMENTING REGULATION (EU) 2019/947 / SERA.3201].

The displayed areas are for situational awareness only.

The operational volumes shown correspond to operations approved under the Specific Category, with procedures established and validated according to the assessed local risk level and in compliance with the regulation (EU)2019/947.

 For questions or coordination requests, please contact the respective operator. Contact details are available in the zones information panel.

de: luftfahrt luftraum luftfahrzeug bgdi-bundesgeodaten-infrastruktur

bundesamt-fur-zivilluftfahrt-bazl

approval_status: approved

fr: L’Office fédéral de l’aviation civile (OFAC) est l’organe compétent en matière de politique aéronautique et de surveillance de l'aviation civile suisse. Placé sous l’autorité du Département fédéral de l’environnement, des transports, de l’énergie et de la communication (DETEC), l’OFAC veille à ce que l’aviation civile suisse bénéficie d’un niveau de sécurité élevé et suive un développement durable.

de: Das Bundesamt für Zivilluftfahrt (BAZL) ist für die Luftfahrtentwicklung und die Aufsicht über die zivile Luftfahrt in der Schweiz zuständig. Das BAZL gehört zum Eidgenössischen Departement für Umwelt, Verkehr, Energie und Kommunikation (UVEK) und ist dafür verantwortlich, dass die Zivilluftfahrt in der Schweiz ein hohes Sicherheitsniveau aufweist und eine nachhaltige Entwicklung verfolgt.

en: The Federal Office of Civil Aviation (FOCA) is responsible for aviation development and the supervision of civil aviation activities in Switzerland. The FOCA is part of the Federal Department of the Environment, Transport, Energy and Communications (DETEC) and is charged with ensuring that the high safety standards in civil aviation in Switzerland are maintained, and with pursuing a policy of sustainable development.

it: L’Ufficio federale dell’aviazione civile (UFAC), che fa parte del Dipartimento federale dell’ambiente, dei trasporti, dell’energia e delle comunicazioni (DATEC), è responsabile dell’evoluzione nel settore aeronautico e della sorveglianza sull’aviazione civile in Svizzera. Esso garantisce uno standard di sicurezza elevato e promuove il principio dello sviluppo sostenibile nell’aviazione civile elvetica.

de: Bundesamt für Zivilluftfahrt BAZL

en: Federal Office of Civil Aviation FOCA

fr: Office fédéral de l'aviation civile OFAC

it: Ufficio federale dell’aviazione civile UFAC

political_level: confederation

state: active

type: organization

de: Bundesamt für Zivilluftfahrt

fr: Office fédéral de aviation civile

it: Ufficio federale dell’aviazione civile

en: Federal Office of Civil Aviation

de: geocat.ch Permalink

fr: geocat.ch permalien

it: geocat.ch link permanente

en: geocat.ch permalink

spatial: Schweiz

de: UAS Aktivitätszonen Schweiz

fr: Zones d'activité UAS Suisse

it: Zone di attività UAS Svizzera

en: UAS Awareness Zones Switzerland

title_for_slug: uas-aktivitatszonen-schweiz

type: dataset

tran

de: Verkehr

en: Transport

fr: Transports

it: Trasporti

de: Vorschau map.geo.admin.ch

fr: Aperçu map.geo.admin.ch

it: Previsione map.geo.admin.ch

en: Preview map.geo.admin.ch

de: Map (Preview) Vorschau map.geo.admin.ch

fr: Map (Preview) Aperçu map.geo.admin.ch

it: Map (Preview) Previsione map.geo.admin.ch

en: Map (Preview) map.geo.admin.ch

format: SERVICE

de: WMS-BGDI Dienst, Layer "UAS Aktivitätszonen Schweiz"

fr: Service WMS-IFDG, couche "Zones d'activité UAS Suisse"

it: Servizio WMS-IFDG, layer "Zone di attività UAS Svizzera"

en: WMS-FSDI service, layer "UAS Awareness Zones Switzerland"

format: WMS

de: WMTS-BGDI Dienst, Layer "UAS Aktivitätszonen Schweiz"

fr: Service WMTS-IFDG, couche "Zones d'activité UAS Suisse"

it: Servizio WMTS-IFDG, layer "Zone di attività UAS Svizzera"

en: WMTS-FSDI service, layer "UAS Awareness Zones Switzerland"

format: WMTS

de: Link für Datenbezug

fr: Lien vers la distribution des données

it: Link per le fonti dei dati

en: Link for data download

format: HTML

media_type: text/html

de: RESTful API von geo.admin.ch

fr: RESTful API de geo.admin.ch

it: RESTful API da geo.admin.ch

en: RESTful API from geo.admin.ch

format: API

format: GPKG

format: ZIP

media_type: application/zip

format: GeoJSON

value: BAZL - Geocat Harvester


geografische-uas-gebiete-der-schweiz

de: Ein geografisches UAS-Gebiet ist ein von der zuständigen Behörde festgelegter Teil des Luftraums, der den Betrieb unbemannter Luftfahrzeuge bzw. -systeme (engl. UAS für Unmanned Aircraft System) ermöglicht, einschränkt oder ausschließt, um den mit dem UAS-Betrieb verbundenen Risiken für die Sicherheit, den Schutz der Privatsphäre und personenbezogener Daten, die Sicherheitslage oder die Umwelt Rechnung zu tragen. Gemäss den Art. 27 und 28 der Verordnung des UVEK über Luftfahrzeuge besonderer Kategorien (VLK) ist der Betrieb von unbemannten Luftfahrzeugen in den festgelegten UAS-Gebieten untersagt. Ausnahmen können von den zuständigen Stellen bewilligt werden (Art. 29 VLK). Ebenfalls können die Kantone gestützt auf Art. 34 VLK für unbemannte Luftfahrzeuge mit einem Gewicht von weniger als 25 kg Vorschriften zur Verminderung der Umweltbelastung und der Gefährdung von Personen und Sachen auf der Erde erlassen.

fr: Une zone géographique UAS est une partie de l’espace aérien établie par l’autorité compétente qui facilite, restreint ou exclut les exploitations de systèmes d’aéronefs sans occupants (angl. UAS) afin de traiter les risques relatifs à la sécurité, à la sphère privée, à la protection des données à caractère personnel, à la sûreté ou à l’environnement, découlant des exploitations de systèmes d’aéronefs sans occupants. Conformément aux art. 27 et 28 de l'ordonnance du DETEC sur les aéronefs de catégories spéciales (OACS), il est interdit de faire voler des aéronefs sans occupants dans les zones géographiques UAS définies, sauf exception autorisée par les services compétents (art. 29 OACS). De même, l'art. 34 OACS confère aux cantons le pouvoir d'édicter des prescriptions applicables aux aéronefs sans occupants d’un poids allant jusqu’à 25 kg dans le but de réduire les atteintes à l'environnement et le danger auquel les personnes et les biens sont exposés au sol.

it: Una zona geografica unica dell'UAS è una porzione di spazio aereo stabilita dall'autorità competente che agevola, limita o esclude le operazioni di aeromobili o di sistemi senza occupanti (in inglese Unmanned Aircraft System, UAS), al fine di far fronte ai rischi connessi alla sicurezza, alla riservatezza, alla protezione dei dati personali, alla sicurezza o all'ambiente derivanti dalle operazioni UAS. In virtù degli articoli 27 e 28 dell'ordinanza del DATEC sulle categorie speciali di aeromobili (OACS), è proibito l'esercizio di aeromobili senza occupanti nelle zone UAS stabilite. I servizi competenti possono autorizzare eccezioni (art. 29 OACS). Inoltre, in virtù dell'articolo 34 OACS, per gli aeromobili senza occupanti di peso inferiore a 25 kg i Cantoni possono emanare prescrizioni per ridurre l'impatto ambientale e i rischi per persone e cose a terra.

en: A UAS geographical zone is a portion of airspace designated by the competent authority in which the operation of unmanned aircraft systems (UASs) is permitted, restricted or forbidden in order to take account of the risks to safety, privacy and personal data protection, security or the environment that are associated with UAS operations. According to Articles 27 and 28 of the DETEC Ordinance on Special Category Aircraft (OSCA), the operation of unmanned aerial vehicles in the defined UAS areas is prohibited. Exceptions may be granted by the competent authorities (Art. 29 OSCA). Likewise, the cantons may, on the basis of Article 34 OSCA, issue regulations for unmanned aerial vehicles with a weight of less than 25kg to reduce the impact on to the environment and the risk to persons and property on the ground.

de: luftraum luftfahrt luftfahrzeug bgdi-bundesgeodaten-infrastruktur

de: Geografische UAS-Gebiete der Schweiz

fr: Zones géographiques UAS en Suisse

it: Zone geografiche UAS della Svizzera

en: Geographical UAS zones of Switzerland

title_for_slug: geografische-uas-gebiete-der-schweiz

de: WMTS-BGDI Dienst, Layer "Einschränkungen für Drohnen"

fr: Service WMTS-IFDG, couche , Layer "Restrictions pour drones"

it: Servizio WMTS-IFDG, strato "Restrizioni per droni"

en: WMTS-FSDI service, layer "Restrictions for drones"

de: Link zu Detailbeschreibung (BAZL)

fr: Lien vers la description détaillée (OFAC)

it: Link per la descrizione dei dettagli (UFAC)

en: Link to detailed description (FOCA)

de: Link zu Detailbeschreibung (skyguide)

fr: Lien vers la description détaillée (skyguide)

it: Link per la descrizione dei dettagli (skyguide)

en: Link to detailed description (skyguide)

de: Link zum WMS

fr: Lien vers le WMS

it: Link verso WMS

en: Link to WMS

format: JSON

media_type: application/json

format: OCTET


de: Stickstoffeinträge in Gewässer stellen eine unerwünschte Belastung dar. Im Rahmen des Übereinkommens über den Schutz der Meeresumwelt des Nordostatlantiks (OSPAR) hat sich die Schweiz verpflichtet, die über den Rhein aus der Schweiz gelangende Stickstofffracht gegenüber 1985 um 50% zu reduzieren. Dieses Ziel ist noch nicht erreicht. Insgesamt gelangen pro Jahr rund 48‘000 t Gesamt-Stickstoff aus diffusen Quellen in die Gewässer der Schweiz. Hohe Einträge erfolgen von intensiv genutzten Ackerflächen, insbesondere von drainierten Flächen.</p><p> Die Gesamt-Stickstoffeinträge in die Gewässer wurden mit dem Stoffflussmodell MODIFFUS über alle diffusen Eintragsquellen (Ackerland, Dauergrünland, Wald, Gletscher, Siedlungsgrünflächen etc.) und alle diffusen Eintragspfade (Bodenerosion, Auswaschung, Abschwemmung, Drainage, atmosphärische Deposition etc.) berechnet. Die Karte zeigt die aufsummierten Verluste pro Landnutzungskategorie im Hektarraster, basierend auf der Arealstatistik 2013/18. Es wurden mittlere klimatische Bedingungen zugrunde gelegt, das Bezugsjahr ist 2020. </p><p> Diese modellierten Werte sind nicht gleichzusetzen mit gemessenen Werten in Gewässern, da sie die Umwandlungs- und Ablagerungsprozesse sowohl in der Landschaft als auch im Gewässer selbst nicht berücksichtigen. Die Resultate sind für hydrologische oder administrative Einheiten ab 50 km² Grösse interpretierbar, nicht aber für einzelne Pixel.

fr: Les apports d'azote dans les eaux constituent une pollution indésirable. Dans le cadre de la Convention pour la protection du milieu marin de l'Atlantique du Nord-Est (OSPAR), la Suisse s'est engagée à réduire de moitié par rapport à 1985 les apports d'azote dans le Rhin. Cet objectif n'est pas encore atteint ; au total, près de 48 000 tonnes d'azote émanant de sources diffuses se retrouvent chaque année dans les eaux suisses. Les apports d'azote les plus importants sont dus aux surfaces soumises à une exploitation intensive, notamment aux surfaces drainées.</p><p> Les apports en question ont été calculés grâce au modèle des flux de matières MODIFFUS en tenant compte de toutes les sources diffuses (surfaces cultivées, prairies permanentes, forêts, glaciers, espaces verts dans les zones urbaines, etc.) et de toutes les voies d'apport (érosion des sols, lessivage, transport, drainage, dépôt atmosphérique, etc.). La carte montre les pertes cumulées par catégorie d'utilisation du territoire dans le quadrillage hectométrique utilisé dans la statistique de la superficie 2013/18. Les conditions climatiques sont moyennes et l'année de référence est 2020. </p><p> Ces valeurs modélisées ne peuvent pas être comparées aux valeurs mesurées dans les eaux, vu qu'elles ne tiennent pas compte des processus de transformation et de sédimentation tant dans le paysage que dans les eaux. Les résultats peuvent être interprétés pour des unités hydrologiques ou administratives à partir de 50 km², mais non pour chaque pixel.

it: Le immissioni di azoto nelle acque costituiscono un inquinamento indesiderato. Nel quadro della Convenzione per la protezione dell’ambiente marino dell’Atlantico del Nord-Est (OSPAR), la Svizzera si è impegnata a ridurre del 50 per cento rispetto al 1985 il carico di azoto nel Reno proveniente dalla Svizzera. L’obiettivo non è ancora stato raggiunto. Complessivamente, ogni anno nelle acque svizzere finiscono circa 48 000 tonnellate di azoto emesse da fonti diffuse. Le principali immissioni provengono da superfici coltivate in modo intensivo, in particolare da superfici drenate.</p><p> Le immissioni di azoto nelle acque sono state calcolate con il modello per flussi di sostanze MODIFFUS, considerando tutte le fonti d’immissione (terreni coltivi, prati permanenti, boschi, ghiacciai, superfici verdi urbane ecc.) e i percorsi di immissione (erosione del suolo, dilavamento, ruscellamento, drenaggio, deposizione atmosferica ecc.). La carta mostra le perdite cumulate per categoria di utilizzazione del territorio in un reticolo ettometrico basato sulla Statistica di superficie 2013/18. Per il calcolo sono state considerate condizioni climatiche medie e l'anno di riferimento è il 2020. </p><p> I valori modellizzati non sono equiparabili con i valori misurati nelle acque, in quanto non tengono conto dei processi di trasformazione e di sedimentazione né nel paesaggio né nelle acque. I risultati possono essere interpretati per unità idrologiche o amministrative a partire da 50 chilometri quadrati, ma non per singoli pixel.

en: Nitrogen inputs into waters represent an undesirable pollution load. Under the Convention for the Protection of the Marine Environment of the North-East Atlantic (OSPAR), Switzerland agreed to reduce the nitrogen load flowing into the Rhine from Switzerland by 50% of 1985 levels. This target has not yet been met. A total of some 48,000 tonnes of nitrogen enter Swiss waters every year from diffuse sources. Intensively farmed arable land, particularly drained areas, is responsible for high inputs.</p><p> The nitrogen inputs into waters have been analysed by the MODIFFUS material flux model for all the diffuse input sources (arable land, permanent grassland, forest, glaciers, urban green space etc.) and their pathways (soil erosion, leaching, run-off, drainage, atmospheric deposition etc.). The map shows the total input for each land use category in the hectare grid, based on the 2013/18 land use statistics. Average climatic conditions are used and the reference year is 2020. </p><p> These modelled values are not equivalent to values measured in the waters because they do not take into account the conversion and deposition processes, both on land and in the waters themselves. The results are interpretable for hydrological or administrative units over 50 km² in size, but not for single pixels.

de: stickstoff landwirtschaft bgdi-bundesgeodaten-infrastruktur gewasser

bundesamt-fur-umwelt-bafu

de: Die Fachbehörde für die Umwelt. Es ist zuständig für die nachhaltige Nutzung der natürlichen Ressourcen sowie für den Schutz des Menschen vor Naturgefahren und den Schutz der Umwelt vor übermässigen Belastungen.

en: The federal environmental authority. It is responsible for ensuring that natural resources are used sustainably, that the public is protected against natural hazards, and that the environment is protected from unacceptable adverse impacts.

fr: L’autorité compétente pour les questions environnementales. Il est à ce titre chargé de gérer les ressources naturelles selon les principes du développement durable et de protéger l’homme contre les dangers naturels et l’environnement contre les pollutions.

it: Il servizio specializzato in materia ambientale, è competente per quanto riguarda l'utilizzazione sostenibile delle risorse naturali, la protezione delle persone dai pericoli naturali e dell'ambiente da un inquinamento eccessivo.

en: Federal Office for the Environment FOEN

de: Bundesamt für Umwelt BAFU

fr: Office fédéral de l'environnement OFEV

it: Ufficio federale dell'ambiente UFAM

de: Bundesamt für Umwelt / Abteilung Wasser

fr: Office fédéral de l'environnement

it: Ufficio federale dell'ambiente

en: Federal Office for the Environment

de: Diffuse Gesamt-Stickstoffeinträge in die Gewässer

fr: Apports diffus d'azote totale dans les eaux, valeurs modéllisées

it: Immissioni diffuse di azoto totale nelle acque, valori modellizzati

en: Diffuse total nitrogen inputs into waters, modelled values

envi

de: Umwelt

en: Environment

fr: Environnement

it: Ambiente

de: WMS-BGDI Dienst, Layer "Diffuse Gesamt-Stickstoffeinträge"

fr: Service WMS-IFDG, couche "Apports diffus d`azote totale"

it: Servizio WMS-IFDG, strato "Immissioni diffuse di azoto totale"

en: WMS-FSDI service, layer "Diffuse total nitrogen inputs"

de: WMTS-BGDI Dienst, Layer "Diffuse Gesamt-Stickstoffeinträge"

fr: Service WMTS-IFDG, couche , Layer "Apports diffus d'azote totale"

it: Servizio WMTS-IFDG, strato "Immissioni diffuse di azoto totale"

en: WMTS-FSDI service, layer "Diffuse total nitrogen inputs"

de: Link zur Detailbeschreibung der Daten

de: Link zum Datenbezug (STAC)

fr: Lien vers la distribution des données (STAC)

it: Link per le fonti dei dati (STAC)

en: Link for download (STAC)

value: BAFU - Geocat Harvester


de:
Die Karte zeigt, wo die Lichtbedingungen für genügend Höhenzuwachs der Verjüngung (<= 300 cm) der jeweiligen Baumartengruppe ausreichen. Die Karte basiert auf gutachtlich erhobenen Feldaufnahmen in 39 Forstrevieren, verteilt über die ganze Schweiz und verschiedene Höhenlagen, sowie auf dem Kronenöffnungsgrad, der aus LiDAR Daten abgeleitet wurde. Die berücksichtigten Baumarten wurden anhand ihrer Lichtansprüche in die unten aufgeführten Klassen eingeteilt. Indikativ kann die Karte auch für andere Baumarten der jeweiligen Klasse verwendet werden:

Lärche, Birke, Stiel- und Traubeneiche, Waldföhre und Kirschbaum: Lichtbaumarten (Klasse 1),

Berg- und Spitzahorn: Halblichtbaumarten (Klasse 2),

Fichte, Sommer- und Winterlinde: Halbschattenbaumarten (Klasse 3),

Buche und Tanne: Schattenbaumarten (Klasse 4),

Zu dunkel für das Aufwachsen sämtlicher Baumarten (Klasse 5).

Zweck: Die Karte zeigt, ob die lokal vorhandenen Lichtverhältnisse ausreichen, damit Jungbäume ohne zusätzlichen Eingriff vital ins Stangenholz aufwachsen können, und macht damit potenziell nötige waldbauliche Massnahmen frühzeitig erkennbar.

Hinweise zur Verwendung: Unterstützung von Försterinnen und Waldbewirtschaftern bei der Planung von Verjüngungseingriffen, der Jungwaldpflege, der Baumartenwahl und beim zeitlichen und räumlichen Monitoring, da die Karte bei neuen LiDAR-Befliegungen regelmässig aktualisiert wird.

Bemerkungen: Das Verjüngungspotential wurde ausschliesslich aufgrund des Kronenöffnungsgrads berechnet, der die Abschattung durch die umliegenden Baumkronen und dem Gelände berücksichtigt. Die direkte Sonneneinstrahlung wurde bisher nicht berücksichtigt, da damit statistisch weniger gute Ergebnisse erreicht werden. Somit kann auch die Hangexposition oder die Ausrichtung der Lücken bisher nicht berücksichtig werden. Ebenso können bisher keine Höhenstufen-spezifischen Unterteilungen erfolgen, da das verwendete nationale Modell in den statistischen Tests am besten abschneidet. In Beständen mit Bäumen und Sträuchern von ca. 3-7 Höhe werden die Lichtbedingungen in der Unterschicht überschätzt, d.h. die Karte zeigt in solchen Fällen ein zu hohes Verjüngungspotential. Die Karte wurde auf die Waldfläche gemäss LFI reduziert und Waldstrassen wurden so gut wie möglich ausmaskiert.

Die Karte zeigt das Verjüngungspotential zum Zeitpunkt der LiDAR-Befliegung, welche für die Herleitung des Kronenöffnungsgrads verwendet wurden. Eine Karte mit den Jahresangaben der verwendeten LiDAR Daten ist unter „Datenbezug“ verfügbar.

fr:
La carte montre les endroits où les conditions de luminosité sont suffisantes pour permettre une croissance en hauteur suffisante (<= 300 cm) de la régénération pour chaque groupe d'essences. La carte est basée sur des relevés effectués sur le terrain dans 39 districts forestiers répartis sur toute la Suisse et à différentes altitudes, ainsi que sur le degré d'ouverture de la canopée, dérivé des données LiDAR. Les essences prises en compte ont été classées dans les catégories ci-dessous en fonction de leurs besoins en lumière. La carte peut également être utilisée à titre indicatif pour d'autres essences de la catégorie correspondante :

Mélèze, bouleau, chêne pédonculé et chêne rouvre, pin sylvestre et cerisier : essences photophiles (classe 1),

Érable sycomore et érable plane : essences semi-photophiles (classe 2),

Épicéa, tilleul à petites feuilles et tilleul à grandes feuilles : essences semi-ombelibles (classe 3),

Hêtre et sapin : essences ombéliques (classe 4),

Trop sombre pour la croissance de toutes les essences (classe 5).

Objectif : la carte indique si les conditions de luminosité locales sont suffisantes pour que les jeunes arbres puissent atteindre le stade de perchis sans intervention supplémentaire et permet ainsi d'identifier à un stade précoce les mesures sylvicoles potentiellement nécessaires.

Conseils d'utilisation : aide les forestiers et les gestionnaires forestiers à planifier les mesures de rajeunissement, l'entretien des jeunes forêts, le choix des essences et le suivi temporel et spatial, car la carte est régulièrement mise à jour lors de nouveaux survols LiDAR.

Remarques : le potentiel de régénération a été calculé exclusivement sur la base du degré d'ouverture de la canopée, qui tient compte de l'ombrage causé par les cimes des arbres environnants et le terrain. L'ensoleillement direct n'a pas été pris en compte jusqu'à présent, car il donne des résultats statistiquement moins bons. De même, l'exposition des pentes ou l'orientation des clairières ne peuvent pas être prises en compte pour l'instant. De même, aucune subdivision spécifique à l'altitude ne peut être effectuée jusqu'à présent, car le modèle national utilisé obtient les meilleurs résultats dans les tests statistiques. Dans les peuplements composés d'arbres et d'arbustes d'une hauteur d'environ 3 à 7 mètres, les conditions d'ensoleillement dans la strate inférieure sont surestimées, c'est-à-dire que la carte indique dans ces cas un potentiel de régénération trop élevé. La carte a été réduite à la surface forestière selon l'IFN et les routes forestières ont été masquées autant que possible.

La carte présente le potentiel de régénération à la date du survol LiDAR, qui a servi à calculer le degré d'ouverture de la couronne. Une carte indiquant les années auxquelles se rapportent les données LiDAR utilisées est disponible sous la rubrique « Sources des données ».

it:
La mappa mostra dove le condizioni di luce sono sufficienti per garantire un'adeguata crescita in altezza del rimboschimento (<= 300 cm) del rispettivo gruppo di specie arboree. La mappa si basa su rilevamenti sul campo effettuati da esperti in 39 distretti forestali distribuiti su tutto il territorio svizzero e a diverse altitudini, nonché sul grado di apertura della chioma ricavato dai dati LiDAR. Le specie arboree prese in considerazione sono state classificate in base alle loro esigenze di luce nelle classi elencate di seguito. La mappa può essere utilizzata in modo indicativo anche per altre specie arboree della rispettiva classe:

Larice, betulla, farnia e faggio, pino silvestre e ciliegio: specie arboree che necessitano di luce (classe 1)

Acero di montagna e acero riccio: specie arboree che necessitano di luce moderata (classe 2)

Abete rosso, tiglio estivo e tiglio invernale: specie arboree di mezz'ombra (classe 3):

Faggio e abete: specie arboree di ombra (classe 4)

Troppo buio per la crescita di tutte le specie arboree (classe 5)

Scopo: la mappa mostra se le condizioni di luce locali sono sufficienti affinché i giovani alberi possano crescere vitalmente senza ulteriori interventi e rende così riconoscibili tempestivamente le misure selvicolturali potenzialmente necessarie.

Indicazioni per l'uso: supporto ai forestali e ai gestori forestali nella pianificazione degli interventi di ringiovanimento, nella cura dei boschi giovani, nella scelta delle specie arboree e nel monitoraggio temporale e spaziale, poiché la mappa viene aggiornata regolarmente con nuove rilevazioni LiDAR.

Osservazioni: il potenziale di rigenerazione è stato calcolato esclusivamente sulla base del grado di apertura della chioma, che tiene conto dell'ombreggiamento causato dalle chiome degli alberi circostanti e dal terreno. Finora non è stata presa in considerazione l'esposizione diretta al sole, poiché ciò comporta risultati statisticamente meno attendibili. Pertanto, non è stato possibile tenere conto dell'esposizione del pendio o dell'orientamento delle radure. Allo stesso modo, non è ancora possibile effettuare suddivisioni specifiche per altitudine, poiché il modello nazionale utilizzato ottiene i migliori risultati nei test statistici. Nei popolamenti con alberi e arbusti di circa 3-7 metri di altezza, le condizioni di luce nello strato inferiore sono sovrastimate, ovvero in questi casi la mappa mostra un potenziale di rigenerazione troppo elevato. La mappa è stata ridotta alla superficie forestale secondo l'IFN e le strade forestali sono state mascherate il più possibile.

La mappa mostra il potenziale di ringiovanimento al momento del rilevamento LiDAR, utilizzato per calcolare il grado di apertura della chioma. Una mappa con le indicazioni relative all'anno dei dati LiDAR utilizzati è disponibile alla voce «Riferimenti dei dati».

en:
The map shows where light conditions are sufficient for sufficient height growth of regeneration (<= 300 cm) for each tree species group. The map is based on expert field surveys in 39 forest districts spread across Switzerland and at various altitudes, as well as on the degree of canopy opening derived from LiDAR data. The tree species considered were divided into the classes listed below based on their light requirements. The map can also be used as a guide for other tree species in the respective class:

Larch, birch, English oak, sessile oak, Scots pine, and cherry: light-demanding tree species (class 1),

Sycamore maple and Norway maple: semi-light-demanding tree species (class 2),

Spruce, small-leaved and large-leaved lime: semi-shade tree species (class 3),

Beech and fir: shade tree species (class 4),

Too dark for all tree species to grow (class 5).

Purpose: The map shows whether the local light conditions are sufficient for young trees to grow vigorously into pole wood without additional intervention, thus identifying potentially necessary silvicultural measures at an early stage.

Notes on use: Support for foresters and forest managers in planning regeneration measures, young forest maintenance, tree species selection, and temporal and spatial monitoring, as the map is regularly updated with new LiDAR flights.

Comments: The regeneration potential was calculated solely on the basis of the degree of canopy opening, which takes into account the shading caused by the surrounding tree crowns and the terrain. Direct sunlight has not been taken into account so far, as this leads to statistically less reliable results. This means that slope exposure or the orientation of gaps cannot be taken into account at this stage. Similarly, no altitude-specific subdivisions can be made at present, as the national model used performs best in statistical tests. In stands with trees and shrubs of approx. 3-7 m in height, the light conditions in the understorey are overestimated, i.e. in such cases the map shows an excessively high regeneration potential. The map has been reduced to the forest area according to the NFI, and forest roads have been masked out as much as possible.

The map shows the regeneration potential at the time of the LiDAR survey, which was used to derive the canopy openness. A map showing the years for which the LiDAR data were collected is available under ‘Data sources’.

de: Bundesamt für Umwelt / Abteilung Wald

fr: Division forêts, Office fédéral de l'environnement

it: Divisione foreste, Ufficio federale dell'ambiente

en: Forest Division, Federal Office of the Environment

de: geocat.ch Permalink

fr: geocat.ch permalien

it: geocat.ch link permanente

en: geocat.ch permalink

de: Schweizweite Hinweiskarten des lichtbedingten Verjüngungspotentials (Stand LFI VHM 2024)

fr: Cartes nationales indiquant le potentiel de régénération lié à la lumière (état IFN VHM 2024)

it: Mappe indicative a livello nazionale del potenziale di ringiovanimento legato alla luce (stato LFI VHM 2024)

en: Switzerland-wide maps showing light-induced regeneration potential (as of NFI VHM 2024)

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

de: Vorschau map.geo.admin.ch

fr: Aperçu map.geo.admin.ch

it: Previsione map.geo.admin.ch

en: Preview map.geo.admin.ch

de: Map (Preview) Vorschau map.geo.admin.ch

fr: Map (Preview) Aperçu map.geo.admin.ch

it: Map (Preview) Previsione map.geo.admin.ch

en: Map (Preview) map.geo.admin.ch

de: WMTS-BGDI Dienst, Layer "Licht_Verjuengungspotential LFI"

fr: Service WMTS-IFDG, couche , Layer "Hauteur de la végétation IFN"

it: Servizio WMTS-IFDG, strato "Altezza della Vegetazione IFN"

en: WMTS-FSDI service, layer "Vegetation height model NFI"

fr: Lien vers la description détaillée des données

it: Link per la descrizione dei dettagli

en: Link to description

de: Link zum Datenbezug

fr: Lien vers la distribution des données

it: Link per le fonti dei dati

en: Link for download

de: STAC Browser

de: "Licht_Verjuengungspotential LFI"

de: RESTful API von geo.admin.ch


name: Bundesamt für Umwelt / Abteilung Lärm und NIS

de: Die Karte zeigt die modellierte Belastung durch Magnetfeldemissionen elektrischer Anlagen in der Schweiz. Dargestellt wird die magnetische Flussdichte in Mikrotesla (μT) in 1 m Höhe über dem Boden. Die Berechnung basiert auf einem physikalischen Modell des Bundesamts für Umwelt (BAFU) und nutzt unter anderem das Geodatenmodell für elektrische Anlagen > 36 kV des Bundesamts für Energie (BFE). Berücksichtigt werden derzeit Freileitungen mit 150, 220 und 380 kV in einem 400 m breiten Korridor entlang der Leitungen (Gesamtlänge ca. 6'800 km). Das Datenmodell beruht teilweise auf vereinfachenden Annahmen und entspricht einer ersten Entwicklungsstufe. Es ist vorgesehen das Modell schrittweise mit genaueren Grundlagendaten zu verbessern sowie auf weitere Spannungsebenen auszuweiten. Die Daten sind nicht rechtsverbindlich.

fr: La carte montre l'exposition modélisée aux champs magnétiques des installations électriques en Suisse. Elle représente la densité de flux magnétique en microtesla (μT) à 1 mètre au-dessus du sol. Le calcul repose sur un modèle physique de l'Office fédéral de l'environnement (OFEV) et utilise notamment le modèle de géodonnées des installations électriques > 36 kV de l'Office fédéral de l'énergie (OFEN). Les lignes aériennes de 150, 220 et 380 kV sont actuellement prises en compte dans un corridor de 400 m de large le long des lignes (longueur totale d'environ 6 800 km). Le modèle de données repose en partie sur des hypothèses et des simplifications et correspond à une première phase de développement. Il est prévu d’intégrer des données plus précises, ainsi que d’étendre le modèle à d’autres niveaux de tension. Les données ne sont pas juridiquement contraignantes.

it: La mappa mostra l'esposizione modellizzata dovuta alle emissioni di campi magnetici degli impianti elettrici in Svizzera. Viene rappresentata la densità di flusso magnetico in microtesla (μT) a 1 m di altezza dal suolo. Il calcolo si basa su un modello fisico dell’Ufficio federale dell’ambiente (UFAM) e utilizza, tra l’altro, il modello di geodati per gli impianti elettrici > 36 kV dell’Ufficio federale dell’energia (UFE). Attualmente vengono prese in considerazione le linee aeree da 150, 220 e 380 kV in un corridoio largo 400 m lungo le linee (lunghezza totale circa 6'800 km). Il modello di dati si basa in parte su ipotesi semplificative e corrisponde a una prima fase di sviluppo. Si prevede di migliorare gradualmente il modello con dati più precisi e di estenderlo ad altri livelli di tensione. I dati non sono giuridicamente vincolanti.

en: The map shows the modeled exposure to magnetic field emissions from electrical installations in Switzerland. It depicts the magnetic flux density in microtesla (μT) at a height of 1 m above ground level. The calculation is based on a physical model from the Federal Office for the Environment (FOEN) and utilizes, among other things, the Federal Office of Energy’s (SFOE) geodata model for electrical installations > 36 kV. Currently, overhead lines with voltages of 150, 220, and 380 kV are taken into account within a 400-meter-wide corridor along the lines (total length approx. 6,800 km). The data model is based in part on simplifying assumptions and represents an initial development stage. Updates to refine the underlying data and extend the model to additional voltage levels are foreseen. The data is not legally binding.

bundesamt-fur-umwelt-bafu

de: Die Fachbehörde für die Umwelt. Es ist zuständig für die nachhaltige Nutzung der natürlichen Ressourcen sowie für den Schutz des Menschen vor Naturgefahren und den Schutz der Umwelt vor übermässigen Belastungen.

en: The federal environmental authority. It is responsible for ensuring that natural resources are used sustainably, that the public is protected against natural hazards, and that the environment is protected from unacceptable adverse impacts.

fr: L’autorité compétente pour les questions environnementales. Il est à ce titre chargé de gérer les ressources naturelles selon les principes du développement durable et de protéger l’homme contre les dangers naturels et l’environnement contre les pollutions.

it: Il servizio specializzato in materia ambientale, è competente per quanto riguarda l'utilizzazione sostenibile delle risorse naturali, la protezione delle persone dai pericoli naturali e dell'ambiente da un inquinamento eccessivo.

en: Federal Office for the Environment FOEN

de: Bundesamt für Umwelt BAFU

fr: Office fédéral de l'environnement OFEV

it: Ufficio federale dell'ambiente UFAM

de: Magnetfeldbelastung durch elektrische Anlagen (modeliert)

fr: Exposition aux champs magnétiques générés par les installations électriques (modélisée)

it: Esposizione ai campi magnetici causata dagli impianti elettrici (modellizzata)

en: Magnetic Field Exposure from Electrical Installations (modeled)

envi

de: Umwelt

de: Monitoring der Belastung durch Elektrosmog

de: Data Platform


gefahrenquellen-wasser-hydrologie-wms

de: Gefahrenquelle Wasser und Hydrologiepunkte im Kanton St.Gallen

de: hydrologie naturgefahren gefahrenkarte

fr: L'Office d'aménagement du territoire et d'information géographique (AREG) du canton de Saint-Gall est responsable de la politique d'aménagement du territoire, de la mensuration officielle et de la mise à disposition d'informations géographiques. En tant que centre de compétence, le département de géoinformation offre des services numériques pour l'infrastructure de géodonnées et propose des géodonnées aux utilisateurs des secteurs public et privé et des particuliers.

de: Das Amt für Raumentwicklung und Geoinformation des Kantons St.Gallen (AREG) ist verantwortlich für die Raumentwicklungspolitik, die amtliche Vermessung und die Bereitstellung von Geoinformationen. Die Abteilung Geoinformation erbringt als Kompetenzzentrum  digitale Leistungen für die gemeinsame Geodateninfrastruktur des Kantons St.Gallen und der St.Galler Gemeinden und stellt Geodaten für Nutzer ausserhalb der Kantonsverwaltung zur Verfügung.

de: Amt für Raumentwicklung und Geoinformation (AREG) Kanton St. Gallen

fr: Office d'aménagement du territoire et d'information géographique du canton de Saint-Gall

political_level: canton

kanton-st-gallen

capacity: public

de: geocat.ch Permalink

spatial: Kanton St.Gallen

de: Gefahrenquellen Wasser, Hydrologie (WMS)

title_for_slug: gefahrenquellen-wasser-hydrologie-wms

de: Gefahrenquellen Wasser, Hydrologie

value: SG-Kt - (AREG) - Geocat Harvester


gemeindestrassenplan-wms

name: Amt für Raumentwicklung und Geoinformation

de: Polygone der Klassierung des Gemeindestrassenplans

de: strasse kantonsstrasse

de: Gemeindestrassenplan (WMS)

title_for_slug: gemeindestrassenplan-wms

de: Gemeindestrassenplan


kantonsstrassenplan-wms

de: Kantonsstrassen im Kanton St.Gallen mit Metrierungspunkten.

de: verkehr kantonsstrasse

de: Amt für Raumentwicklung und Geoinformation

de: Kantonsstrassenplan (WMS)

title_for_slug: kantonsstrassenplan-wms

de: Kantonsstrassenplan


gefahrenquellen-wasser-hydrologie-wfs

de: Gefahrenquellen Wasser, Hydrologie (WFS)

title_for_slug: gefahrenquellen-wasser-hydrologie-wfs

format: WFS


energieproduktion-im-kanton-graubunden

de: Der Datensatz enthält eine Aufstellung der jährlichen Energieproduktion in Kilowattstunden (kWh), unterteilt nach verschiedenen Energieträgern im Kanton Graubünden. In den Daten finden sich spezifische Werte für die Erzeugung aus Biomasse, Windkraft, der thermischen Verwertung von Abfällen sowie aus Trinkwasserkraftwerken, Wasserkraftwerken und Photovoltaik-Anlagen.

it: L'insieme di dati contiene una distinta della produzione di energia annua in chilowattora (kWh), suddivisa per diversi vettori energetici nel Cantone dei Grigioni. Nei dati si trovano valori specifici per la produzione da biomassa, energia eolica, valorizzazione termica di rifiuti nonché centrali idroelettriche alimentate da acqua potabile, centrali idroelettriche e impianti fotovoltaici.

kanton-graubuenden

fr: Le canton des Grisons publie progressivement des données publiques en libre accès (Open Government Data) d’offices et de services cantonaux.

de: Der Kanton Graubünden veröffentlicht nach und nach Open Government Datensätze von kantonalen Ämtern und Dienststellen.

en: The Canton of Graubünden is gradually publishing open government datasets from cantonal offices and agencies.

it: Il Cantone dei Grigioni pubblica su base continua serie di dati di uffici e servizi cantonali come Open Government Data.

de: Kanton Graubünden

en: Canton of Graubünden

fr: Canton des Grisons

it: Cantone dei Grigioni

de: kanton-graubuenden

de: Energieproduktion im Kanton Graubünden

title_for_slug: energieproduktion-im-kanton-graubunden

key: guid

key: uri

value: DCAT Harvester Kt Graubünden GR

ener

de: Energie

en: Energy

fr: Énergie

it: Energia

de: Energieproduktion im Kanton Graubünden (csv)

it: Produzione di energia nel Cantone dei Grigioni (csv)

de: csv

it: csv

format: CSV

media_type: text/csv

de: Energieproduktion im Kanton Graubünden (json)

it: Produzione di energia nel Cantone dei Grigioni (json)

de: json

it: json

de: Energieproduktion im Kanton Graubünden (jsonl)

it: Produzione di energia nel Cantone dei Grigioni (jsonl)

de: jsonl

it: jsonl

de: Energieproduktion im Kanton Graubünden (parquet)

it: Produzione di energia nel Cantone dei Grigioni (parquet)

de: parquet

it: parquet

format: PARQUET

de: Energieproduktion im Kanton Graubünden (rdfxml)

it: Produzione di energia nel Cantone dei Grigioni (rdfxml)

de: rdfxml

it: rdfxml

format: RDF XML

media_type: application/rdf+xml

de: Energieproduktion im Kanton Graubünden (jsonld)

it: Produzione di energia nel Cantone dei Grigioni (jsonld)

de: jsonld

it: jsonld

format: JSON-LD

de: Energieproduktion im Kanton Graubünden (turtle)

it: Produzione di energia nel Cantone dei Grigioni (turtle)

de: turtle

it: turtle

format: RDF Turtle

media_type: text/turtle

de: Energieproduktion im Kanton Graubünden (n3)

it: Produzione di energia nel Cantone dei Grigioni (n3)

de: Energieproduktion im Kanton Graubünden (xlsx)

it: Produzione di energia nel Cantone dei Grigioni (xlsx)

de: xlsx

it: xlsx

format: XLS

energia-rinnovabile

display_name: energia-rinnovabile


de: Der Datensatz enthält ein öffentliches Verzeichnis der Bewilligungsinhaber (z.B. Schneesportschulen) gemäss kantonalem Gesetz über das Berg- und Schneesportwesen (GBS). Er zeigt, welche Betriebe im Verantwortungsbereich von Betreibern von Skilift- und Seilbahnanlagen (gesicherten Pistengebiet) im Kanton Graubünden tätig sind und dafür Personen ohne anerkannte Ausbildung einsetzen.Die Daten werden zentral vom Amt für Wirtschaft und Tourismus Graubünden (AWT) gesammelt, welches auch die Bewilligungen erteilt. Die Liste dient der öffentlichen Information über aktuell gültige Bewilligungsinhaber.Die Aktualisierung der Liste erfolgt fortlaufend. Es werden nur diejenigen Betriebe erfasst, die eine gültige Bewilligung besitzen. Eine GBS-Bewilligung wird grundsätzlich unbefristet erteilt. Beim Wechsel der Rechtsform des Bewilligungsinhabers, des Firmennamens, der verantwortlichen Person oder der Haftpflichtversicherung muss eine neue GBS-Bewilligung beantragt werden. Aussagen zu weiteren Merkmalen oder zur Qualität der angebotenen Aktivitäten lassen sich aus dem Datensatz nicht ableiten.

it: Il set di dati contiene un elenco pubblico dei titolari dell'autorizzazione (ad es. scuole di sport sulla neve) conformemente alla legge cantonale sulle guide di montagna e sullo sci (LGS). Esso indica quali aziende sono attive nel settore di responsabilità dei gestori di scilift e funivie (area delle piste assicurate) nel Cantone dei Grigioni e che impiegano a tale scopo persone senza formazione riconosciuta.I dati vengono raccolti in modo centralizzato dall'Ufficio dell'economia e del turismo dei Grigioni (UET), il quale rilascia anche le autorizzazioni. L'elenco serve a informare pubblicamente in merito ai titolari di autorizzazioni attualmente validi.L'elenco viene costantemente aggiornato. Vengono rilevate solo le aziende che dispongono di un'autorizzazione valida. In linea di principio un'autorizzazione LGS viene rilasciata a tempo indeterminato. In caso di cambiamento della forma giuridica del titolare dell'autorizzazione, del nome della ditta, della persona responsabile o dell'assicurazione di responsabilità civile deve essere richiesta una nuova autorizzazione LGS. Il set di dati non permette di derivare affermazioni relative ad ulteriori caratteristiche o alla qualità delle attività offerte.

kanton-graubuenden

de: Der Kanton Graubünden veröffentlicht nach und nach Open Government Datensätze von kantonalen Ämtern und Dienststellen.

it: Il Cantone dei Grigioni pubblica su base continua serie di dati di uffici e servizi cantonali come Open Government Data.

de: Kanton Graubünden

it: Cantone dei Grigioni

de: kanton-graubuenden

just

de: Justiz, Rechtssystem und öffentliche Sicherheit

en: Justice, legal system and public safety

fr: Justice, système juridique et sécurité publique

it: Giustizia, sistema giuridico e sicurezza pubblica

de: Verzeichnis von Schneesportschulen mit Angestellten ohne anerkannte Ausbildung gestützt auf das kantonale Gesetz über das Berg- und Schneesportwesen (csv)

it: Elenco delle scuole di sport sulla neve con dipendenti senza formazione riconosciuta in base alla legge cantonale sulle guide di montagna e sullo sci (csv)

de: Verzeichnis von Schneesportschulen mit Angestellten ohne anerkannte Ausbildung gestützt auf das kantonale Gesetz über das Berg- und Schneesportwesen (json)

it: Elenco delle scuole di sport sulla neve con dipendenti senza formazione riconosciuta in base alla legge cantonale sulle guide di montagna e sullo sci (json)

de: Verzeichnis von Schneesportschulen mit Angestellten ohne anerkannte Ausbildung gestützt auf das kantonale Gesetz über das Berg- und Schneesportwesen (fgb)

it: Elenco delle scuole di sport sulla neve con dipendenti senza formazione riconosciuta in base alla legge cantonale sulle guide di montagna e sullo sci (fgb)

de: fgb

it: fgb

de: Verzeichnis von Schneesportschulen mit Angestellten ohne anerkannte Ausbildung gestützt auf das kantonale Gesetz über das Berg- und Schneesportwesen (geojson)

it: Elenco delle scuole di sport sulla neve con dipendenti senza formazione riconosciuta in base alla legge cantonale sulle guide di montagna e sullo sci (geojson)

de: geojson

it: geojson

de: Verzeichnis von Schneesportschulen mit Angestellten ohne anerkannte Ausbildung gestützt auf das kantonale Gesetz über das Berg- und Schneesportwesen (gpx)

it: Elenco delle scuole di sport sulla neve con dipendenti senza formazione riconosciuta in base alla legge cantonale sulle guide di montagna e sullo sci (gpx)

de: gpx

it: gpx

format: GPX

de: Verzeichnis von Schneesportschulen mit Angestellten ohne anerkannte Ausbildung gestützt auf das kantonale Gesetz über das Berg- und Schneesportwesen (jsonl)

it: Elenco delle scuole di sport sulla neve con dipendenti senza formazione riconosciuta in base alla legge cantonale sulle guide di montagna e sullo sci (jsonl)

de: Verzeichnis von Schneesportschulen mit Angestellten ohne anerkannte Ausbildung gestützt auf das kantonale Gesetz über das Berg- und Schneesportwesen (kml)

it: Elenco delle scuole di sport sulla neve con dipendenti senza formazione riconosciuta in base alla legge cantonale sulle guide di montagna e sullo sci (kml)

de: kml

it: kml

format: KML

de: Verzeichnis von Schneesportschulen mit Angestellten ohne anerkannte Ausbildung gestützt auf das kantonale Gesetz über das Berg- und Schneesportwesen (ov2)

it: Elenco delle scuole di sport sulla neve con dipendenti senza formazione riconosciuta in base alla legge cantonale sulle guide di montagna e sullo sci (ov2)

format: TXT

media_type: text/plain

de: Verzeichnis von Schneesportschulen mit Angestellten ohne anerkannte Ausbildung gestützt auf das kantonale Gesetz über das Berg- und Schneesportwesen (parquet)

it: Elenco delle scuole di sport sulla neve con dipendenti senza formazione riconosciuta in base alla legge cantonale sulle guide di montagna e sullo sci (parquet)

de: Verzeichnis von Schneesportschulen mit Angestellten ohne anerkannte Ausbildung gestützt auf das kantonale Gesetz über das Berg- und Schneesportwesen (rdfxml)

it: Elenco delle scuole di sport sulla neve con dipendenti senza formazione riconosciuta in base alla legge cantonale sulle guide di montagna e sullo sci (rdfxml)

de: Verzeichnis von Schneesportschulen mit Angestellten ohne anerkannte Ausbildung gestützt auf das kantonale Gesetz über das Berg- und Schneesportwesen (jsonld)

it: Elenco delle scuole di sport sulla neve con dipendenti senza formazione riconosciuta in base alla legge cantonale sulle guide di montagna e sullo sci (jsonld)

de: Verzeichnis von Schneesportschulen mit Angestellten ohne anerkannte Ausbildung gestützt auf das kantonale Gesetz über das Berg- und Schneesportwesen (turtle)

it: Elenco delle scuole di sport sulla neve con dipendenti senza formazione riconosciuta in base alla legge cantonale sulle guide di montagna e sullo sci (turtle)

de: Verzeichnis von Schneesportschulen mit Angestellten ohne anerkannte Ausbildung gestützt auf das kantonale Gesetz über das Berg- und Schneesportwesen (n3)

it: Elenco delle scuole di sport sulla neve con dipendenti senza formazione riconosciuta in base alla legge cantonale sulle guide di montagna e sullo sci (n3)

de: Verzeichnis von Schneesportschulen mit Angestellten ohne anerkannte Ausbildung gestützt auf das kantonale Gesetz über das Berg- und Schneesportwesen (shp)

it: Elenco delle scuole di sport sulla neve con dipendenti senza formazione riconosciuta in base alla legge cantonale sulle guide di montagna e sullo sci (shp)

de: Verzeichnis von Schneesportschulen mit Angestellten ohne anerkannte Ausbildung gestützt auf das kantonale Gesetz über das Berg- und Schneesportwesen (xlsx)

it: Elenco delle scuole di sport sulla neve con dipendenti senza formazione riconosciuta in base alla legge cantonale sulle guide di montagna e sullo sci (xlsx)


stadtische-liegenschaften-stadt-zug

name: Stadt Zug, Abteilung Städtebau & Planung

de:
Parkplatzzonen der Stadt Zug

Darstellungsart: Vektor

Koordinatenreferenzsystem: CH1903+ / LV95 (EPSG:2056)

Format: WMS, WFS, GeoJSON, Geopackage

Sprache: Deutsch

Aktualisierungsrhythmus: wöchentlich

Eigenschaften: Parkzonen

de: parkplatzreglement parkzonen

stadt-zug

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

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

de: Stadt Zug

political_level: commune

de: Geozug Ingenieure AG

de: Parkplatzreglement Stadt Zug

title_for_slug: stadtische-liegenschaften-stadt-zug

value: Stadt Zug - geocat harvester

gove

de: Regierung und öffentlicher Sektor

en: Government and public sector

fr: Gouvernement et secteur public

it: Governo e settore pubblico

envi

de: Umwelt

en: Environment

fr: Environnement

it: Ambiente

de: WFS Dienst des Parkplatzreglements der Stadt Zug

de: WFS Parkplatzreglement Stadt Zug

de: WMS Dienst des Parkplatzreglements der Stadt Zug

de: WMS Parkplatzreglement  Stadt Zug

format: WMS

de: GeoJSON des Parkplatzreglements der Stadt Zug

de: GeoJSON Parkplatzreglement Stadt Zug

media_type: application/geo+json

de: Geopackage des Parkplatzreglements der Stadt Zug

de: Geopackage Parkplatzreglement Stadt Zug

parkplatzreglement

display_name: parkplatzreglement

parkzonen

display_name: parkzonen


potenzieller-schulweg-stadt-zug

de:
Kommunaler Richtplan der Stadt Zug

Darstellungsart: Vektor

Koordinatenreferenzsystem: CH1903+ / LV95 (EPSG:2056)

Format: WMS, WFS, GeoJSON, Geopackage

Sprache: Deutsch

Aktualisierungsrhythmus: wöchentlich

Eigenschaften: Massnahmennummer, Titel, Ortsbezeichnung, Beschreibung, Koordinationsstand, Richtplantext

de: Kommunaler Richtplan Stadt Zug

title_for_slug: potenzieller-schulweg-stadt-zug

regi

de: Regionen und Städte

en: Regions and cities

fr: Régions et villes

it: Regioni e città

tran

de: Verkehr

en: Transport

fr: Transports

it: Trasporti

de: WFS Dienst des kommunalen Richtplans der Stadt Zug

de: WFS Kommunaler Richtplan Stadt Zug

de: WMS Dienst des kommunalen Richtplans der Stadt Zug

de: WMS Kommunaler Richtplan Stadt Zug

de: Geopackage des kommunalen Richtplans der Stadt Zug

de: Geopackage Kommunaler Richtplan Stadt Zug

de: GeoJSON des kommunalen Richtplans der Stadt Zug

de: GeoJSON Kommunaler Richtplan Stadt Zug

kommunaler-richtplan

display_name: kommunaler-richtplan

raumplanung

display_name: raumplanung

richtplanung

display_name: richtplanung


privathaushalte-nach-haushaltstyp

de: Fachstelle für Daten und Statistik des Kantons Zug

de:
Privathaushalte nach Haushaltstyp im Kanton Zug 2016 bis 2024.

Stichprobendaten wurden für die Haushalte des Kantons Zug hochgerechnet.

(QUELLE: Bundesamt für Statistik, Strukturerhebung)

de: Privathaushalte nach Haushaltstyp

de: haushalte wohnen

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

title_for_slug: privathaushalte-nach-haushaltstyp

value: DCAT Harvester Kt. ZG

soci

de: Bevölkerung und Gesellschaft

en: Population and society

fr: Population et société

it: Popolazione e società

haushalte

display_name: haushalte

wohnen

display_name: wohnen


de:
Hauptsprachen nach Kanton / Gemeinden 2010 bis 2024.

Die Daten entstammen aus einer Stichprobe und werden auf die über 15-jährige Bevölkerung des Kantons hochgerechnet. Da Personen mehrere Sprachen sprechen können, können zusammengerechnet mehr als 100 Prozent vorkommen.

(QUELLE: Bundesamt für Statistik, Strukturerhebung)

de: Hauptsprachen

de: Hauptsprachen Kanton Zug

de: Hauptsprachen Gemeinden

sprachen

display_name: sprachen


de:
Szenarien für den Kanton Zug, 2025-2055.

Das Referenzszenario schreibt die Entwicklung der letzten Jahre fort. Das «hohe» Szenario beruht auf einer Kombination von Hypothesen, die ein höheres Bevölkerungswachstum begünstigen, während das «tiefe» Szenario Hypothesen kombiniert, die ein niedrigeres Bevölkerungswachstum zur Folge hätten.

(QUELLE: Bundesamt für Statistik, Bevölkerungsszenarien)

de: Szenarien der zukünftigen Bevölkerungsentwicklung

bevolkerung

display_name: bevolkerung


de:
Entwicklung der Bodennutzung im Kanton Zug 1979 bis 2018.

- Bestockten Flächen = Wald und Gehölz
- Unproduktive Flächen = Fels, Geröll, Gewässer und ungenutzte Vegetation.

Da die Gemeindeflächen ohne Seen ausgewiesen werden, ist die Kantonsfläche grösser als die Summe der Gemeindeflächen.

(QUELLE: Bundesamt für Statistik, Arealstatistik)

de: Entwicklung der Bodennutzung

de: bestockte-flachen unproduktive-flachen

envi

de: Umwelt

bestockte-flachen

display_name: bestockte-flachen

unproduktive-flachen

display_name: unproduktive-flachen


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.

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

political_level: other

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

value: DCAT Harvester Materials Cloud

bulk

display_name: bulk

dielectric-tensor

display_name: dielectric-tensor

dipole-moment

display_name: dipole-moment

hyperpolarizability

display_name: hyperpolarizability

machine-learning

display_name: machine-learning

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


barcodes-for-nanoporous-materials

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

title_for_slug: 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


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

database

display_name: database

dft

display_name: dft

first-principles

display_name: first-principles

high-throughput

display_name: high-throughput

ice

display_name: ice

three-dimensional

display_name: three-dimensional


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


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.

en: Adatom-Induced Local Melting

envi

en: Environment

aluminum

display_name: aluminum

defects

display_name: defects

first-principles-molecular-dynamics

display_name: first-principles-molecular-dynamics

marvel

display_name: marvel

surface-melting

display_name: surface-melting


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

graphene

display_name: graphene

gw

display_name: gw

high-performance-computing

display_name: high-performance-computing

nanoribbon

display_name: nanoribbon

scaling

display_name: scaling


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: Solid-state electrolytes for Li-ion batteries are attracting growing interest as they allow building safer batteries, also using lithium-metal anodes. Here, we studied a compound in the lithium superionic conductor (LISICON) family, i.e. Li₄₋ₓGe₁₋ₓPₓO₄ (LGPO). Thin films were deposited via pulsed laser deposition, and their electrical properties were compared to those of ceramic pellets. A detailed characterization of their microstructures shows that thin films can be deposited fully crystalline at higher temperatures but also partially amorphous at room temperature. The conductivity is not strongly influenced by the presence of grain boundaries, exposure to air, or lithium deficiencies. First-principles molecular dynamics simulations were employed to calculate the lithium-ion diffusion profile and the conductivity at various temperatures of the ideal LGPO crystal. Simulations give the upper limit of conductivity for a defect-free crystal, which is in the range of 10–2 S cm–1 at 300 °C. The ease of thin-film fabrication and room-temperature Li-ion conductivity in the range of a few μS cm–1 make LGPO a very appealing electrolyte material for thin-film all-solid-state all-oxide microbatteries.

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: Li₄₋ₓGe₁₋ₓPₓO₄, a potential solid-state electrolyte for all-oxide microbatteries

big-map

display_name: big-map

ionic-transport

display_name: ionic-transport

lgpo

display_name: lgpo

lisicon

display_name: lisicon

microbatteries

display_name: microbatteries

solid-state-electrolytes

display_name: solid-state-electrolytes

thin-films

display_name: thin-films


en: A transient state of the excess electron in liquid water preceding the development of the solvation shell, the so-called wet electron, has been invoked to explain spectroscopic observations, but its binding energy and atomic structure have remained highly elusive. Here, we carry out hybrid functional molecular dynamics to unveil the ultrafast solvation mechanism leading to the hydrated electron. In the pre-hydrated regime, the electron is found to repeatedly switch between a quasi-free electron state in the conduction band and a localized state with a binding energy of 0.26 eV, which we assign to the wet electron. This transient state self-traps in a region of the liquid which extends up to ∼4.5 Å and involves a severe disruption of the hydrogen-bond network. Our picture provides an unprecedented view on the nature of the wet electron, which is instrumental to understand the properties of this fundamental species in liquid water.

materialscloud

en: Materials Cloud

en: Picture of Wet Electron: A Localized Transient State in Liquid Water

first-principles

display_name: first-principles

hydrated-electron

display_name: hydrated-electron

liquid-water

display_name: liquid-water

molecular-dynamics

display_name: molecular-dynamics

wet-electron

display_name: wet-electron


en:
Here we present 69,840 covalent organic frameworks (COFs) assembled in silico from a set of 666 distinct organic linkers into 2D-layered and 3D configurations. We investigate the feasibility of using these frameworks for methane storage by using grand-canonical Monte Carlo (GCMC) simulations to calculate their deliverable capacities (DCs). From these calculations, we predict that the best structure in the database is linker91_C_linker91_C_tbd, a structure composed of carbon-carbon bonded triazine linkers in the tbd topology. This structure has a predicted 65-bar DC of 216 v STP/v, greater than that of the best current methane storage material. We also predict other top performing materials, with 305 structures having DCs of over 190 v STP/v, and 34 of these having DCs of over 200 v STP/v.
This archive entry contains the database of assembled COF structures (in CIF file format) together with all of their properties, which can be explored using interactive figures. Among the calculated properties for each structure are the framework density, the methane heats of desorption at the storage and depletion pressures, the methane uptakes at the storage and deplation pressures, the supercell volume, and the geometric surface area. Structures are also labeled according to their bond types (amide, amine, imine, carbon-carbon, or mixed) and their dimensionalities (2D or 3D).

en: In Silico Design of 2D and 3D Covalent Organic Frameworks for Methane Storage Applications

cof

display_name: cof

covalent-organic-frameworks

display_name: covalent-organic-frameworks

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

layered

display_name: layered

marvel

display_name: marvel

methane-storage

display_name: methane-storage

nanoporous

display_name: nanoporous

three-dimensional

display_name: three-dimensional

two-dimensional

display_name: two-dimensional


the-geometric-blueprint-of-perovskites

en: Perovskite minerals form an essential component of the Earth's mantle, and synthetic crystals are ubiquitous in electronics, photonics, and energy technology. The extraordinary chemical diversity of these crystals raises the question of how many and which perovskites are yet to be discovered. Here we show that the "no-rattling" principle postulated by Goldschmidt in 1926, describing the geometric conditions under which a perovskite can form, is much more effective than previously thought and allows us to predict perovskites with a fidelity of 80%. By supplementing this principle with inferential statistics and internet data mining we establish that currently known perovskites are only the tip of the iceberg, and we enumerate 90,000 hitherto-unknown compounds awaiting to be studied. Our results suggest that geometric blueprints may enable the systematic screening of millions of compounds and offer untapped opportunities in structure prediction and materials design.

en: The geometric blueprint of perovskites

title_for_slug: the-geometric-blueprint-of-perovskites

data-mining

display_name: data-mining

goldschmidt

display_name: goldschmidt

perovskites

display_name: perovskites

structure-predictions

display_name: structure-predictions


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

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: Biomolecular simulations are computationally expensive. This limits their application in drug or protein design and related fields. Several methods have been developed to address this problem. These methods often use an artificial force or potential acting on selected degrees of freedom known as collective variables. This requires explicit calculation of a collective variable (and its derivatives) from molecular structure. For collective variables that cannot be calculated explicitly or such calculations is slow we developed anncolvar package (https://github.com/spiwokv/anncolvar). This package approximates collective variables using artificial neural networks. It was tested on Isomap low dimensional representation of cyclooctane derivative or solvent-accessible surface area of Trp-cage miniprotein.

en: Approximation of Collective Variables by anncolvar

artificial-neural-networks

display_name: artificial-neural-networks

collective-variable

display_name: collective-variable

metadynamics

display_name: metadynamics


en:
Project Abstract: For applications of metal-organic frameworks (MOFs) such as gas storage and separation, flexibility is often seen as a parameter that can tune material performance. In this work we aim to determine the optimal flexibility for the shape selective separation of similarly sized molecules (e.g., Xe/Kr mixtures). To obtain systematic insight into how the flexibility impacts this type of separation we develop a simple analytical model that predicts a material's Henry regime adsorption and selectivity as a function of flexibility. We elucidate the complex dependence of selectivity on a framework's intrinsic flexibility whereby performance is either improved or reduced with increasing flexibility, depending on the material's pore size characteristics. However, the selectivity of a material with the pore size and chemistry that already maximizes selectivity in the rigid approximation is continuously diminished with increasing flexibility, demonstrating that the globally optimal separation exists within an entirely rigid pore. Molecular simulations show that our simple model predicts performance trends that are observed when screening the adsorption behavior of flexible MOFs. These flexible simulations provide better agreement with experimental adsorption data in a high performance material that is not captured when modeling this framework as rigid, an approximation typically made in high-throughput screening studies. We conclude that, for shape selective adsorption applications, the globally optimal material will have the optimal pore size/chemistry and minimal intrinsic flexibility even though other non-optimal materials' selectivity can actually be improved by flexibility. Equally important, we find that flexible simulations can be critical for correctly modeling adsorption in these types of systems.

About this entry: You can find the Xe/Kr Henry coefficients and the infinite dilution selectivity of more than 2000 CoRE MOF structures obtained via computational screening when materials are simulated as both flexible and rigid.  For details about the methods used to obtain these results, please see the corresponding paper (DOI: 10.1021/jacs.7b01688).  The data provided here was used to create the scatter plots presented in the original paper and can be used to find the adsorption properties for any material in the CoRE MOF screening.

Version 2 includes a minor formatting correction to make the CIF files compliant with the CIF standard.

en: The Influence of Intrinsic Framework Flexibility on Adsorption in Nanoporous Materials (Data Download)

envi

en: Environment

flexibility

display_name: flexibility

nanoporous-materials

display_name: nanoporous-materials

xekr-separations

display_name: xekr-separations


en: Biomolecular simulations are computationally expensive. This limits their application in protein folding simulations, protein engineering, drug design and related fields. Enhanced sampling techniques such as metadynamics accelerates slow events in molecular simulation. This and other method apply artificial forces in directions of collective degrees of freedom (aka collective variables). Path collective variables and Property Map collective variables are defined using a series of reference structures of the studied molecular system. They require a huge number of mean square deviation calculations along the simulation. Close Structure algorithm reduces the number of these operations.

en: Reducing the Number of Mean-Square Deviation Calculations with Floating Close Structure in Metadynamics

mean-square-deviation

display_name: mean-square-deviation


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.

Version 2 of the record adds the data underlying the figures in CSV format.

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

charge-equilibration-methods

display_name: charge-equilibration-methods

marvel

display_name: marvel

partial-charges

display_name: partial-charges

qeq

display_name: qeq


en: The application of modern machine learning to challenges in atomistic simulation is gaining attraction. We present new machine learning models that can predict the energy of the oxidative addition process between a transition metal complex and a substrate for C-C cross-coupling reaction. In turn, this quantity can be used as a descriptor to estimate the activity of homogeneous catalysts using molecular volcano plots. The versatility of this approach is illustrated for vast libraries of organometallic catalysts based on Pt, Pd, Ni, Cu, Ag, and Au combined with 91 ligands. Out-of-sample machine learning predictions were made on a total of 18,062 compounds leading to 557 catalyst candidates falling into the ideal thermodynamic window. This number was further refined by searching for candidates with an estimated price lower than 10 US$/mmol. The 37 catalyst finalists are dominated by palladium phosphine ligand combinations but also include earth abundant (Cu) transition metal with less common ligands. Our results indicate that modern statistical learning techniques can be applied to the computational discovery of readily available and promising catalyst candidates.

materialscloud

en: Materials Cloud

en: Machine learning meets volcano plots: Computational discovery of cross-coupling catalysts

homogeneous-catalysis

display_name: homogeneous-catalysis

transition-metal-complexes

display_name: transition-metal-complexes

volcano-plot

display_name: volcano-plot


en: Canonical molecular dynamics simulations of crystal growth from solution suffer from severe finite-size effects. As the crystal grows, the solute molecules are drawn from the solution to the crystal, leading to a continuous drop in the solution concentration. This is in contrast to experiments in which the crystal grows at an approximately constant supersaturation of a bulk solution. Recently, Perego et al. [J. Chem. Phys.2015, 142, 144113] showed that in a periodic setup in which the crystal is represented as a slab, the concentration in the vicinity of the two surfaces can be kept constant while the molecules are drawn from a part of the solution that acts as a molecular reservoir. This method is quite effective in studying crystallization under controlled supersaturation conditions. However, once the reservoir is depleted, the constant supersaturation conditions cannot be maintained. We propose a variant of this method to tackle this depletion problem by simultaneously dissolving one side of the crystal while letting the other side grow. A continuous supply of particles to the solution due to the crystal dissolution maintains a steady solution concentration and avoids reservoir depletion. In this way, a constant supersaturation condition can be maintained for as long as necessary. We have applied this method to study the growth and dissolution of urea crystal from water solution under constant supersaturation and undersaturation conditions, respectively. The computed growth and dissolution rates are in good agreement with those obtained in previous studies.

en: A Cannibalistic Approach to Grand Canonical Crystal Growth

crystal-nucleation-and-growth

display_name: crystal-nucleation-and-growth

erc

display_name: erc

solution-crystallization

display_name: solution-crystallization


en:
Classical turning surfaces of Kohn-Sham potentials separate classically-allowed regions (CARs) from classically-forbidden regions (CFRs). They are useful for understanding many chemical properties of molecules, but need not exist in solids, where the density never decays to zero. At equilibrium geometries, we find that CFRs are absent in perfect metals, rare in covalent semiconductors at equilibrium, but common in ionic and molecular crystals. In all materials, CFRs appear or grow as the internuclear distances are uniformly expanded. They can also appear at a monovacancy in a metal. Calculations with several approximate density functionals and codes confirm these behaviors. A classical picture of conduction suggests that CARs should be connected in metals, and disconnected in wide-gap insulators, and is confirmed in the limits of extreme compression and expansion. Surprisingly, many semiconductors have no CFR at equilibrium, a key finding for density functional construction. Nonetheless, a strong correlation with insulating behavior can still be inferred. Moreover, equilibrium bond lengths for all cases can be estimated from the bond type and the sum of the classical turning radii of the free atoms or ions.

This record contains machine readable data for this work

en: Calculation and interpretation of classical turning surfaces in solids

density-functional-theory

display_name: density-functional-theory

dft

display_name: dft

kohn-sham-potential

display_name: kohn-sham-potential

turning-surface

display_name: turning-surface


en:
We provide the input files to reproduce the data presented in the work:
Hidden Beneath the Surface: Origin of the Observed Enantioselective Adsorption on PdGa(111)
The files are subdivided in directories named after the figures/table of the manuscript
A. V. Yakutovich, J. Hoja, D. Passerone, Alexandre Tkatchenko, C. A. Pignedoli
J. Am. Chem. Soc., 140, 1401-1408 (2018) DOI: 10.1021/jacs.7b10980
In the work, we unravel the origin of the recently observed striking enantioselectivity of the PdGa(111) surface with respect to the adsorption of a small organic molecule, 9-ethynylphenanthrene, using first-principles calculations. It turns out that the key ingredient to understand the experimental evidence is the appropriate description of van der Waals interactions beyond the widely employed atomic pairwise approximation. A recently developed van der Waals-inclusive density functional method, which encompasses dielectric screening effects, reveals the origin of the experimentally observed enantioselectivity and provides conclusive evidence of chiral recognition on a bimetallic surface driven by dispersion interactions.

chirality

display_name: chirality

many-body-dispersion

display_name: many-body-dispersion

pdga

display_name: pdga


en:
Fast-charging batteries typically employ electrodes capable of accommodating lithium continuously via solid-solution transformation because they have few kinetic barriers apart from Li+ diffusion. One exception is lithium titanate, an anode that exhibits extraordinary rate capability seemingly inconsistent with its two-phase reaction and slow diffusion within the two phases. Through real-time tracking of Li+ migration using operando electron energy-loss spectroscopy (EELS) along with simulation of the EELS spectra, we observe that the kinetic pathway that enables facile ionic transport in lithium titanate consists of distorted Li polyhedra in metastable intermediate states. Thus, fast-charging electrodes may not be controlled solely by the intrinsic ionic diffusivity of macroscopic phases, but also by the transport via kinetically accessible low-energy landscapes.

In order to understand the origin of various EELS spectra features, we simulate EELS spectra using the Vienna Ab initio Simulation (VASP) package. For a specific Li in a given configuration, this is done by calculating the DOS and integrated DOS considering a Li core-hole on the position of the specific Li and calculating the EELS based on the DOS. We also calculated the minimum energy paths (MEP) and migration energy of Li in various compositions, including Li4Ti5O12 with an additional Li carrier, Li5Ti5O12 with an additional Li carrier, and Li7Ti5O12 with a Li vacancy carrier. The calculation was performed using the nudged elastic band (NEB) method in VASP. Analysis of the VASP outputs was done using scripts from Transition State Tools for VASP (VTST, https://theory.cm.utexas.edu/vtsttools/index.html). We present here the relevant input and output files from the VASP calculations, the python code used to generate EELS spectra from VASP outputs, and the outputs of the VTST scripts that were used to generate MEP plots.

en: Kinetic Pathways of Ionic Transport in Fast Charging Lithium Titanate

ionic-transport

display_name: ionic-transport

nudged-elastic-band

display_name: nudged-elastic-band

vasp

display_name: vasp


en: Ice nucleation is a process of great relevance in physics, chemistry, technology, and environmental sciences; much theoretical effort has been devoted to its understanding, but it still remains a topic of intense research. We shed light on this phenomenon by performing atomistic based simulations. Using metadynamics and a carefully designed set of collective variables, reversible transitions between water and ice are able to be simulated. We find that water freezes into a stacking disordered structure with the all-atom transferable intermolecular potential with 4 points/ice (TIP4P/ice) model, and the features of the critical nucleus of nucleation at the microscopic level are revealed. We have also estimated the ice nucleation rates along with other nucleation parameters at different undercoolings. Our results are in agreement with recent experimental and other theoretical works, and they confirm that nucleation is preceded by a large increase in tetrahedrally coordinated water molecules.

en: Temperature Dependence of Homogeneous Nucleation in Ice

enhanced-sampling

display_name: enhanced-sampling

homegenous-nucleation

display_name: homegenous-nucleation

ice

display_name: ice

marvel

display_name: marvel

metadynamics

display_name: metadynamics

molecular-dynamics

display_name: molecular-dynamics

plumed

display_name: plumed


en: We describe a double helical conformation in the densely charged aromatic polyamide poly(2,2'- disulfonyl-4,4'-benzidine terephthalamide) or PBDT. This double helix macromolecule represents one of the most rigid simple molecular structures known, exhibiting an extremely high axial persistence length (~ 1 micrometer).

en: Double helix PBDT polymer - Submitted manuscript, simulations and other source data

envi

en: Environment

ionic

display_name: ionic

nematic

display_name: nematic

nmr

display_name: nmr

polymer

display_name: polymer

simulations

display_name: simulations

x-ray

display_name: x-ray


en: We present a derivation of the exact expression for Pulay forces in density-functional theory calculations augmented with extended Hubbard functionals, and arising from the use of orthogonalized atomic orbitals as projectors for the Hubbard manifold. The derivative of the inverse square root of the orbital overlap matrix is obtained as a closed-form solution of the associated Lyapunov (Sylvester) equation. The expression for the resulting contribution to the forces is presented in the framework of ultrasoft pseudopotentials and the projector-augmented-wave method, and using a plane wave basis set. We have benchmarked the present implementation with respect to finite differences of total energies for the case of NiO, finding excellent agreement. Owing to the accuracy of Hubbard-corrected density-functional theory calculations - provided the Hubbard parameters are computed for the manifold under consideration - the present work paves the way for systematic studies of solid-state and molecular transition-metal and rare-earth compounds.

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: Pulay forces in density-functional theory with extended Hubbard functionals: from nonorthogonalized to orthogonalized manifolds

cscs

display_name: cscs

density-functional-theory

display_name: density-functional-theory

dftu

display_name: dftu

dftuv

display_name: dftuv

hubbard-corrections

display_name: hubbard-corrections

hubbard-forces

display_name: hubbard-forces

hubbard-manifold

display_name: hubbard-manifold

hubbard-parameters

display_name: hubbard-parameters

lowdin-orthogonalization-method

display_name: lowdin-orthogonalization-method

lyapunov-equation

display_name: lyapunov-equation

orbital-overlap-matrix

display_name: orbital-overlap-matrix

pulay-forces

display_name: pulay-forces

self-interaction-corrections

display_name: self-interaction-corrections

sylvester-equation

display_name: sylvester-equation


en:
Thermodynamic properties of liquid water as well as hexagonal (Ih) and cubic (Ic) ice are predicted based on density functional theory at the hybrid-functional level, rigorously taking into account quantum nuclear motion, anharmonic fluctuations and proton disorder. This is made possible by combining advanced free energy methods and state-of-the-art machine learning techniques. The ab initio description leads to structural properties in excellent agreement with experiments, and reliable estimates of the melting points of light and heavy water. We observe that nuclear quantum effects contribute a crucial 0.2 meV/H2O to the stability of ice Ih, making it more stable than ice Ic. Our computational approach is general and transferable, providing a comprehensive framework for quantitative predictions of ab initio thermodynamic properties using machine learning potentials as an intermediate step.

In this set of supplemental materials, we have included the neural network potential for bulk water, including its training set in two different formats. We have also included the input files for running free energy calculations.

materialscloud

en: Materials Cloud

en: Ab initio thermodynamics of liquid and solid water: supplemental materials

free-energy-calculation-input-files

display_name: free-energy-calculation-input-files

machine-learning-potential

display_name: machine-learning-potential

machine-learning-potential-training-set

display_name: machine-learning-potential-training-set