cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.4d4y2p
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Dinklageella villiersii Szlach. & Olszewski"
 ]
}

 The dataset includes 8 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020914-240314170635999/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4wsqj9
title: Occurrence Download

description: A dataset containing 3298 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ceratotherium simum (Burchell, 1817)"
 ]
}

 The dataset includes 3298 records from 60 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039200-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bw8dw3
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Melia azedarach var. azedarach"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008912-170714134226665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uxh6c9
title: Occurrence Download

description: A dataset containing 79 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Campylospermum congestum (Oliv.) Farron"
 ]
}

 The dataset includes 79 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072134-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.m6pjjc
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Damasonium constrictum Juz."
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020924-240314170635999/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ahtqyv
title: Occurrence Download

description: A dataset containing 187 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Arctostaphylos otayensis Wiesl. & B.Schreib."
 ]
}

 The dataset includes 187 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008912-171124123535762/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mkj9cs
title: Occurrence Download

description: A dataset containing 43 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Brandisia racemosa Hemsl."
 ]
}

 The dataset includes 43 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072148-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qyrq3k
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Dendrobium umbonatum Seidenf."
 ]
}

 The dataset includes 3 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020947-240314170635999/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.84f94i
title: Occurrence Download

description: A dataset containing 410 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Vicugna vicugna (Molina, 1782)"
 ]
}

 The dataset includes 410 records from 37 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008913-150615163101818/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sy7wqx
title: Occurrence Download

description: A dataset containing 15 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Calomeria africana (S.Moore) Heine"
 ]
}

 The dataset includes 15 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072164-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mdqhnb
title: Occurrence Download

description: A dataset containing 17 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Dinochloa cordata S.Dransf."
 ]
}

 The dataset includes 17 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020948-240314170635999/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ev8qpd
title: Occurrence Download

description: A dataset containing 316 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Amphisbaena caeca Cuvier, 1829"
 ]
}

 The dataset includes 316 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008913-160118175350007/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2827zv
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Dicksonia ceramica Lehnert"
 ]
}

 The dataset includes 3 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021710-240314170635999/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.44v9nz
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Dinochloa darvelana S.Dransf."
 ]
}

 The dataset includes 9 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020955-240314170635999/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.03sjct
title: Occurrence Download

description: A dataset containing 1212968 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Icterus Brisson, 1760"
 ]
}

 The dataset includes 1212968 records from 218 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008913-160311141623029/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7807/immo:red:wm:suf:v10
title: RWI Real Estate Data - Apartments for Rent - SUF
title: RWI Real Estate Data- Wohnungsmiete - SUF
title: Version 10

description: ImmobilienScout24 is the largest real estate internet platform in Germany. Properties for private as well as commercial use are offered on the website. However, the data only cover residential properties. The dataset covers most characteristics collected on the platform like price, size and characteristics of the housing unit but also automatically generated items like the duration of the advertisement spell. 
description: ImmobilienScout24 ist die größte Immobilien-Internetplattform in Deutschland. Auf der Website werden sowohl Immobilien zur privaten als auch zur gewerblichen Nutzung angeboten. Die Daten umfassen jedoch nur Wohnimmobilien. Der Datensatz umfasst die meisten auf der Plattform erhobenen Merkmale wie z.B. Preis, Größe und Ausstattung der Wohneinheit, aber auch generierte Informationen wie die Dauer der Inseratverfügbarkeit.
description: RWI-GEO-RED
description: RWI-GEO-RED
description: Computer-based observation
description: All appartments for rent at ImmobilienScout24
description: Alle Wohnungen zur Miete auf der Webseite ImmobilienScout24
description: Full sample
DOI: 10.7807/immo:red:wm:v10
title: RWI Real Estate Data - Apartments for Rent
title: RWI Real Estate Data - Wohnungsmiete
title: Version 10

description: ImmobilienScout24 is the largest real estate internet platform in Germany. Properties for private as well as commercial use are offered on the website. However, the data only cover residential properties. The dataset covers most characteristics collected on the platform like price, size and characteristics of the housing unit but also automatically generated items like the duration of the advertisement spell.
description: ImmobilienScout24 ist die größte Immobilien-Internetplattform in Deutschland. Auf der Website werden sowohl Immobilien zur privaten als auch zur gewerblichen Nutzung angeboten. Die Daten umfassen jedoch nur Wohnimmobilien. Der Datensatz umfasst die meisten auf der Plattform erhobenen Merkmale wie z.B. Preis, Größe und Ausstattung der Wohneinheit, aber auch generierte Informationen wie die Dauer der Inseratverfügbarkeit.
description: RWI-GEO-RED
description: RWI-GEO-RED
description: Computer-based observation
description: All appartments for rent at ImmobilienScout24
description: Alle Wohnungen zur Miete auf der Webseite ImmobilienScout24
description: Full sample
DOI: 10.7807/immo:red:wm:wi:suf:v9
title: Extra analysis for Wuppertal Institute using RWI-GEO-RED-V9 Apartment Rent Data
title: Extra analysis for Wuppertal Institute using RWI-GEO-RED-V9 Apartment Rent Data
title: Version 1

description: The data set is based on RWI-GEO-RED v9, but includes only the cities of Wuppertal and Mannheim. It also contains additional information on city districts as well as information on whether the building is considered a historic building. For more information, see the data description by Schaffner and Thiel (2023) and the GitHub repository https://github.com/PThie/RED-Sonderauswertung-Wuppertal-Institut.
description: The data set is based on RWI-GEO-RED v9, but includes only the cities of Wuppertal and Mannheim. It also contains additional information on city districts as well as information on whether the building is considered a historic building. For more information, see the data description by Schaffner and Thiel (2023) and the GitHub repository https://github.com/PThie/RED-Sonderauswertung-Wuppertal-Institut.
description: RWI-GEO
description: RWI-GEO
description: Computer-based observation
description: All housing units for the cities of Wuppertal and Mannheim
description: All housing units for the cities of Wuppertal and Mannheim
description: Full sample for the cities of Wuppertal and Mannheim
DOI: 10.7807/immo:redx:suf:v12
title: Regional Real Estate Price Index for Germany - SUF: 2008-11/2023
title: Regional Real Estate Price Index for Germany - SUF: 2008-11/2023
title: Version 12

description: Based on the RWI-GEO-RED data that base on the data provided by ImmobilienScout24 hedonic housing price indices are estimated. The indices are on the labor market distict, district/county and municipality level (Gemeindeverbaende). We conduct a hedonic price regression that covers characteristics of the object as well as regional fixed effects. The hedonic regression is estimated separately for houses for sale as well as apartments for rent and for sale. There are three different specifications: first, the overall time development from 01/2008 to 11/2023 on district level given yearly and quaterly; second, cross-regional differences for each year separately and time development within one region from 01/2018 to 11/2023 (municipality, district and labor market region) and for the last quarter of 2023 (district and labor market region); third, the time-region fixed effect between 2008 and 2023, which is used to determine the price changes for all three region types to the base year of 2008. The definition of labor market areas rely on RWI (2018).
description: Basierend auf den Immobiliendaten der Internetplattform ImmobilienScout24 werden Immobilienpreisindizes auf Arbeitsmarktregions-, Kreis- und Gemeindeverbandsebene geschätzt.  Der Index basiert auf einer hedonischen Preisfunktion, in der für objektspezifische Charakteristika kontrolliert wird. Die hedonische Preisfunktion wird für Häuserkäufe, Wohnungesmieten und Wohnungskäufe getrennt geschätzt. Es werden drei verschiedene Funktionen geschätzt, wobei eine die zeitliche Entwicklung in Deutschland zwischen Januar 2008 und November 2023 auf Jahres- und Quartalsebene für Kreise abbildet. Die zweite fängt in einer Querschnittregression die regionalen Unterschiede zwischen Januar 2008 und November 2023 ein und wird für alle drei Regionstypen jährlich und für das letzte Quartal in 2023 für Kreise und Arbeitsmarktregionen ausgewiesen. Eine dritte untersucht den fixen, regionalen und zeitlichen Effekt zwischen Januar 2008 und November 2023; hieraus werden für alle drei Regionstypen Preisänderungsraten zum Basisjahr 2008 ermittelt und ausgewiesen. Die Definition der Arbeitsmarktregionen folgt RWI (2018).
description: RWI-GEO-REDX
description: RWI-GEO-REDX
description: Other
description: The data is based on the data set RWI-GEO-RED, that collects all offers for private housing on ImmobilienScout24 between January 2008 and November 2023. ImmobilienScout24 is the largest listing website for real estate in Germany. The price indices are estimated labor market region, district and municipality level
description: Die Preisindizes basieren auf den RWI-GEO-RED Daten. Diese Daten beinhalten alle Inserate für nicht-gewerbliche Objekte aus ImmobilienScout24 in den Jahren Januar 2008 bis November 2023. ImmobilienScout24 ist die größte Internetplattform für Immobilien in Deutschland. Die Preisindizes werden für Arbeitsmarktregionen, Kreise und Gemeinden bestimmt.
description: Stratified random sampling
DOI: 10.7807/immo:redx:v12
title: Regional Real Estate Price Index for Germany: 2008-11/2023
title: Regional Real Estate Price Index for Germany: 2008-11/2023
title: Version 12

description: Based on the RWI-GEO-RED data that base on the data provided by ImmobilienScout24 hedonic housing price indices are estimated. The indices are on the labor market distict, district/county and municipality level (Gemeindeverbaende). We conduct a hedonic price regression that covers characteristics of the object as well as regional fixed effects. The hedonic regression is estimated separately for houses for sale as well as apartments for rent and for sale. There are three different specifications: first, the overall time development from 01/2008 to 11/2023 on district level given yearly and quaterly; second, cross-regional differences for each year separately and time development within one region from 01/2018 to 11/2023 (municipality, district and labor market region) and for the last quarter of 2023 (district and labor market region); third, the time-region fixed effect between 2008 and 2023, which is used to determine the price changes for all three region types to the base year of 2008. The definition of labor market areas rely on RWI (2018).
description: Basierend auf den Immobiliendaten der Internetplattform ImmobilienScout24 werden Immobilienpreisindizes auf Arbeitsmarktregions-, Kreis- und Gemeindeverbandsebene geschätzt.  Der Index basiert auf einer hedonischen Preisfunktion, in der für objektspezifische Charakteristika kontrolliert wird. Die hedonische Preisfunktion wird für Häuserkäufe, Wohnungesmieten und Wohnungskäufe getrennt geschätzt. Es werden drei verschiedene Funktionen geschätzt, wobei eine die zeitliche Entwicklung in Deutschland zwischen Januar 2008 und November 2023 auf Jahres- und Quartalsebene für Kreise abbildet. Die zweite fängt in einer Querschnittregression die regionalen Unterschiede zwischen Januar 2008 und November 2023 ein und wird für alle drei Regionstypen jährlich und für das letzte Quartal in 2023 für Kreise und Arbeitsmarktregionen ausgewiesen. Eine dritte untersucht den fixen, regionalen und zeitlichen Effekt zwischen Januar 2008 und November 2023; hieraus werden für alle drei Regionstypen Preisänderungsraten zum Basisjahr 2008 ermittelt und ausgewiesen. Die Definition der Arbeitsmarktregionen folgt RWI (2018).
description: RWI-GEO-REDX
description: RWI-GEO-REDX
description: Other
description: The data is based on the data set RWI-GEO-RED, that collects all offers for private housing on ImmobilienScout24 between January 2008 and November 2023. ImmobilienScout24 is the largest listing website for real estate in Germany. The price indices are estimated labor market region, district and municipality level
description: Die Preisindizes basieren auf den RWI-GEO-RED Daten. Diese Daten beinhalten alle Inserate für nicht-gewerbliche Objekte aus ImmobilienScout24 in den Jahren Januar 2008 bis November 2023. ImmobilienScout24 ist die größte Internetplattform für Immobilien in Deutschland. Die Preisindizes werden für Arbeitsmarktregionen, Kreise und Gemeinden bestimmt.
description: Stratified random sampling
DOI: 10.7807/greensoep:en:v1
title: Socio-Ecological Panel, 1st Survey Wave
title: Sozioökologisches Panel, 1. Befragungswelle

description: With a share of 30% in total final energy consumption and around 20% in CO2 emissions, private households in Germany strongly affect the environment. At the same time private households are an important target group for policy interventions to fight climate change. Against this background, numerous policy measures that intend to decrease energy consumption and to support renewable energy technologies have been introduced. These policy measures call for accurate evaluation to avoid expensive redundancies due to overlapping policy instruments.
The evaluation of energy and environmental policy measures requires comprehensive and reliable data. So far such data was unavailable in Germany, especially in the context of private households. Hence, the responsiveness of German households to climate protection policies was unknown.
For this purpose, the Socio-Ecological Panel offers rich information on household’s energy consumption and environmental behavior. The data was gathered in four household surveys conducted in 2012, 2013, 2014 and 2015. The survey waves can be merged using the household ID. The data builds the basis for empirical analyses of households’ adaptation to climate change and the evaluation of environmental and climate policy measures.
This data set comprises the information gathered in the 2012 survey wave.
description: Green-SÖP
description: Green-SÖP
description: Self-administered questionnaire: Web-based
description: 10,000 German households.
description: Offline recruiting for the representative forsa omninet panel.
DOI: 10.7807/rwi:climate:mobility:2019:v1
title: RWI Climate-Mobility Panel - Second Survey Wave in 2019
title: SUF Off-site

description: The survey conducted in June 2019, which constitutes the second wave of the “RWI Climate-Mobility Panel”, is now available as a dataset. In combination with further waves in 2018, 2022 and 2024, it is possible to monitor, for example, changes in mobility behavior and policy preferences over time. This survey contains additional cross-sectional data on several transportation-related topics, such as an assessment of the perceived costs of private car use and an experiment to assess how different types of information affect public perceptions of and support for a city toll, as well as selected psychological scales.
description: Sampled Universe: 6,838 German household members

Sampling: Offline recruiting for the representative forsa omninet panel

Origin of data: (1) Data from a questionaire on socio-economic background, experiences with climate change and mobility behavior (2) master data of the omninet-panel, provided by forsa.
description: Collection Mode: SelfAdministeredWritingsAndDiaries.WebBased
description: Unit Type: Household

Number of Units: 6,838
description: RWI-Micro
DOI: 10.7807/immo:red:hm:wi:suf:v9
title: Extra analysis for Wuppertal Institute using RWI-GEO-RED-V9 House Rent Data
title: Extra analysis for Wuppertal Institute using RWI-GEO-RED-V9 House Rent Data
title: Version 1

description: The data set is based on RWI-GEO-RED v9, but includes only the cities of Wuppertal and Mannheim. It also contains additional information on city districts as well as information on whether the building is considered a historic building. For more information, see the data description by Schaffner and Thiel (2023) and the GitHub repository https://github.com/PThie/RED-Sonderauswertung-Wuppertal-Institut.
description: The data set is based on RWI-GEO-RED v9, but includes only the cities of Wuppertal and Mannheim. It also contains additional information on city districts as well as information on whether the building is considered a historic building. For more information, see the data description by Schaffner and Thiel (2023) and the GitHub repository https://github.com/PThie/RED-Sonderauswertung-Wuppertal-Institut.
description: RWI-GEO
description: RWI-GEO
description: Computer-based observation
description: All housing units for the cities of Wuppertal and Mannheim
description: All housing units for the cities of Wuppertal and Mannheim
description: Full sample for the cities of Wuppertal and Mannheim
DOI: 10.7807/greensoep:en:v5
title: Sozial-Ökologisches Panel, 5. Befragungswelle
title: Socio-Ecological Panel, 5th Survey Wave

description: Die im Rahmen des Projekts AKZEPTANZ zwischen Dezember 2015 und Februar 2016 durchgeführte Umfrage wird als Datensatz veröffentlicht und erweitert das Sozio-Ökologische Panel um eine fünfte Welle. Die Befragung gibt Einblicke in die Präferenzen und Einstellungen der Haushalte zur Energiewende verbundene Systemveränderungen in Deutschland. Sie schließt eine bisher nicht spezifisch bearbeitete Forschungslücke. Einstellungen zu Fairness, Klimawandel, Umwelt, persönlichen Kosten und Nutzen erklären die Bereitschaft der Befragten, für die Einführung von Energie- und Umweltpolitik zu zahlen und diese zu akzeptieren.
description: The survey conducted within the framework of the project AKZEPTANZ between December 2015 and February 2016 is published as a dataset and extends the Socio-Ecological Panel by a fifth wave. By providing insights into the preferences and attitudes of households towards the systemic changes entailed by the energy transition in Germany, it fills a gap in research which has not specifically been addressed before. Attitudes regarding fairness, climate change, environment. as well personal costs and benefits determine people´s willingness to pay for and to accept the introduction of energy and environmental policies.
description: Green-SÖP
description: Green-SÖP
description: Self-administered questionnaire: Web-based
description: 11.375 deutsche Haushaltsvorstände
description: 11,375 German household heads
description: Offline Rekrutierung für das repräsentative forsa omninet panel