cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.15489864
title: TEI-XML Zürcher Regierungsratsbeschlüsse 1903-1995

description: Projekt TKR

Zwischen 2003–2016 wurden die Protokollbände des Regierungsrats und des Kantonsrats als Worddokumente seriell transkribiert und anschliessend in PDF und neu als OGD-Datensätze in TEI-XML konvertiert.Die Dateien werden unter Berücksichtigung der gesetzlichen Schutzfristen laufend (max. 80 Jahre) publiziert.

Siehe auch: https://archives-quickaccess.ch/search/stazh/rrb

Inhalt

Dieses Datenset beinhaltet die in Antiqua gedruckten und nicht mehr unter der gesetzlichen Schutzfrist laufenden Regierungsratsbeschlüsse des Kantons Zürich von 1903 bis 1995.Die Beschlüsse des Regierungsrates gehören zu den zentralen Aktenserien des Kantons Zürich.In ihnen spiegelt sich ein äusserst breites Spektrum an Themen, da der Regierungsrat nicht nur für grosse politische Entscheide, sondern oft auch für alltägliche Belange zuständig war.

Jeder Beschluss bildet eine xml-Datei. Es sind dies etwas mehr als 277'000 Beschlüsse bzw. Dateien.Die Metadaten eines Beschlusses (TEI/teiHeader) bestehen unter anderem aus dem Kürzel des/der Transkriptors/in, dem Transkriptionsdatum, der Signatur, dem Publikationsdatum, dem Titel des Beschlusses, dem Link auf den Beschluss im Archivinformationssystem und dem Beschlussdatum.Die Bände bilden die hierarchische Ordnerstruktur. Dies entspricht auch der Struktur im Archivverzeichnis.

Technische Erschliessung

Die Konvertierung von Worddokumenten in TEI-konforme XML-Dateien geschah mittels eines VBA-Makros, welches grösstenteils mittels Mustererkennung die einzelnen Datenelemente voneinander abgrenzte.

mögliche Konvertierungsfehler:Die formale Struktur der Originalbeschlüsse wurde in den Worddatein oft mittels Tabellen abgebildet. Insbesondere komplexe Tabellen mit verbundenen Zellen führten bei der Konvertierung zu Problemen. Sie sind im TEI-XML auch als Tabellen abgebildet, aber die Struktur der Tabelle könnte allenfalls nicht mehr dem Original entsprechen. Um den Text in Tabellen inhaltlich zu verstehen, sollte daher allenfalls das Original konsultiert werden.

Validierung:Alle Dateien sind gemäss TEI-Schema valide. Nicht valide xml-Dateien wurden manuell verbessert.

Ab Version 4.0 wurden im ganzen Datensatz Eigennamen mittels maschinellem Lernen ausgezeichnet (vgl. Github-Repository zum Projekt). Bitte beachten: Die Auszeichnung wurde nicht manuell nachkontrolliert und kann Fehler enthalten!

Urheberrecht

Die Daten stehen unter einer Creative Commons CC-BY-SA 4.0 Lizenz.

Herausgeber: Staatsarchiv des Kantons Zürich

Technische Erschliessung: Rebekka Plüss, rebekka.pluess@ji.zh.ch, Tim Rüdiger, tim.ruediger@zh.ch

Projektleiter TKR: Luzi Schutz
DOI: 10.34740/kaggle/dsv/13592045
title: SOLANA Price Data Binance API (2020–Now)
DOI: 10.15468/dl.ym9brc
title: Occurrence Download

description: A dataset containing 135704 species occurrences available in GBIF matching the query:
{
 "and" : [
 "PublishingOrg is ab1c1790-d067-4363-a573-d3e7f43892b0",
 "TaxonKey is Animalia"
 ]
}

 The dataset includes 135704 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012012-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25442/hku.30338566
title: Supporting data for “ Stability of low dimentional perovskite materials"

description: This thesis investigates the stability of low dimensional RP perovskites. For stable perovskites, the materials will be utilized in optoelectronic applications, such as light-emitting films (Chapter 3) and quasi-2D perovskite solar cells (Chapter 5). For unstable perovskites, their degradation processes are different which depends on the halide. The bromide-based degradation process will be used for valuable organic synthesis, and iodide-based decomposed process will be applied in microplastic degradation (Chapter 4). <br><br>This dataset included all the characterization data in the thesis. Data in this folder are categorized according to the type of characterization including DEMS, GC gas, GCMS, Insitu-FTIR, NMR, UV absorption, XPS and XRD. And these uppoaded datasets are only about perovskite related materials, and are NOT related to the participation of any person, animal, or other creature.
DOI: 10.25442/hku.30338566.v1
title: Supporting data for “ Stability of low dimentional perovskite materials"

description: This thesis investigates the stability of low dimensional RP perovskites. For stable perovskites, the materials will be utilized in optoelectronic applications, such as light-emitting films (Chapter 3) and quasi-2D perovskite solar cells (Chapter 5). For unstable perovskites, their degradation processes are different which depends on the halide. The bromide-based degradation process will be used for valuable organic synthesis, and iodide-based decomposed process will be applied in microplastic degradation (Chapter 4). <br><br>This dataset included all the characterization data in the thesis. Data in this folder are categorized according to the type of characterization including DEMS, GC gas, GCMS, Insitu-FTIR, NMR, UV absorption, XPS and XRD. And these uppoaded datasets are only about perovskite related materials, and are NOT related to the participation of any person, animal, or other creature.
DOI: 10.5281/zenodo.13321568
title: Wikimedia: Wikidata Common Names DwCA

description: Wikimedia Commons is a media file repository making available public domain and freely-licensed educational media content (images, sound and video clips) to all. It acts as a common repository for the various projects of the Wikimedia Foundation, but you do not need to belong to one of those projects to use media hosted here. The repository is created and maintained not by paid-for artists but by volunteers.

https://commons.wikimedia.org/wiki/Main_Page
DOI: 10.5281/zenodo.17509326
title: Wikimedia: Wikidata Common Names DwCA

description: Wikimedia Commons is a media file repository making available public domain and freely-licensed educational media content (images, sound and video clips) to all. It acts as a common repository for the various projects of the Wikimedia Foundation, but you do not need to belong to one of those projects to use media hosted here. The repository is created and maintained not by paid-for artists but by volunteers.

https://commons.wikimedia.org/wiki/Main_Page
DOI: 10.15468/dl.7xtj44
title: Occurrence Download

description: A dataset containing 86 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (China, Hong Kong, Macao, Chinese Taipei)",
 "TaxonKey is Apolygus lucorum"
 ]
}

 The dataset includes 86 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012018-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17231974
title: Planning-Data-enabled Land Cover of China (PDLC) 2021

description: This dataset is the output of the manuscript: An Accurate Land Cover Classification Map in China Integrating High-resolution Satellite Imagery and Planning Data with Deep Learning

This dataset encompasses the land cover of the entire land area of China, including nearshore islands but excluding offshore islands. The land cover product is generated using 2-meter resolution satellite imagery from Google Earth acquired in 2021. Rigorous validation was carried out through pixel-level accuracy assessment, point-based validation using an open-access validation set, and large-scale areal consistency evaluation. The results indicate that our product performs comparably to widely used remote sensing datasets and exhibits the strongest agreement with aggregated official statistics from China’s Third National Land Survey, especially in the categories of built-up areas, cropland, and roads. This product provides a robust foundation for fine-grained urban and regional analysis, enabling applications in spatial planning, land use policy development, and sustainable development monitoring. Its high spatial resolution, accuracy, and clear boundaries offer significant practical value for research and decision-making.

The dataset is organized by administrative units (districts/counties) and stored in GeoTIFF format using the geographic coordinate system WGS1984. These administrative units are ordered according to their unit IDs in the accompanying county-districts.shp shapefile. To facilitate efficient file management and reduce the overall number of files, all districts within each prefecture-level city have been merged into a single district polygon.

Due to storage limits and repeated upload failures, the landcover of some counties/districts (ID>=1700) could not be hosted in this repository. Please find the external download links for the full dataset in the file download_links.txt.

This land cover product comprises six categories: built-up areas, cropland, roads, green spaces, water bodies, and others. The relationship between raster values and land cover categories is as follows:



0: Null

1: Others

2: Green spaces

3: Cropland

4: Roads

5: Built-up areas

6: Water bodies
DOI: 10.5281/zenodo.17231973
title: Planning-Data-enabled Land Cover of China (PDLC) 2021

description: This dataset is the output of the manuscript: An Accurate Land Cover Classification Map in China Integrating High-resolution Satellite Imagery and Planning Data with Deep Learning

This dataset encompasses the land cover of the entire land area of China, including nearshore islands but excluding offshore islands. The land cover product is generated using 2-meter resolution satellite imagery from Google Earth acquired in 2021. Rigorous validation was carried out through pixel-level accuracy assessment, point-based validation using an open-access validation set, and large-scale areal consistency evaluation. The results indicate that our product performs comparably to widely used remote sensing datasets and exhibits the strongest agreement with aggregated official statistics from China’s Third National Land Survey, especially in the categories of built-up areas, cropland, and roads. This product provides a robust foundation for fine-grained urban and regional analysis, enabling applications in spatial planning, land use policy development, and sustainable development monitoring. Its high spatial resolution, accuracy, and clear boundaries offer significant practical value for research and decision-making.

The dataset is organized by administrative units (districts/counties) and stored in GeoTIFF format using the geographic coordinate system WGS1984. These administrative units are ordered according to their unit IDs in the accompanying county-districts.shp shapefile. To facilitate efficient file management and reduce the overall number of files, all districts within each prefecture-level city have been merged into a single district polygon.

Due to storage limits and repeated upload failures, the landcover of some counties/districts (ID>=1700) could not be hosted in this repository. Please find the external download links for the full dataset in the file download_links.txt.

This land cover product comprises six categories: built-up areas, cropland, roads, green spaces, water bodies, and others. The relationship between raster values and land cover categories is as follows:



0: Null

1: Others

2: Green spaces

3: Cropland

4: Roads

5: Built-up areas

6: Water bodies
DOI: 10.6084/m9.figshare.30511463
title: WORTLIST of the Novel Die-Klavierspielerin written by Elfriede Jelinek

description: The data provided is a wortlist from the novel "Die Klavierspielerin" by Elfriede Jelinek.I use the wortlist for my research on the compound nouns.
DOI: 10.6084/m9.figshare.30511463.v1
title: WORTLIST of the Novel Die-Klavierspielerin written by Elfriede Jelinek

description: The data provided is a wortlist from the novel "Die Klavierspielerin" by Elfriede Jelinek.I use the wortlist for my research on the compound nouns.
DOI: 10.15468/dl.44byj4
title: Occurrence Download

description: A dataset containing 112 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Bahrain",
 "Year is 2024",
 "InstitutionCode is iNaturalist"
 ]
}

 The dataset includes 112 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012019-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xqhky4
title: Occurrence Download

description: A dataset containing 145234 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "Year is 2024",
 "InstitutionCode is iNaturalist"
 ]
}

 The dataset includes 145234 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012015-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6fakn2
title: Occurrence Download

description: A dataset containing 8227 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is one of (USA.10_1, USA.41_1, USA.34_1, USA.11_1, USA.43_1, USA.1_1, USA.25_1, USA.47_1, USA.49_1)",
 "TaxonKey is Saururus cernuus"
 ]
}

 The dataset includes 8227 records from 82 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012020-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wpp83e
title: Occurrence Download

description: A dataset containing 302 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Lepidoptera fauna of the Desniansko-Starohutskyi National Nature Park"
 ]
}

 The dataset includes 302 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012021-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fuzbw3
title: Occurrence Download

description: A dataset containing 2300667 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Gadus morhua",
 "Year 1980-2025"
 ]
}

 The dataset includes 2300667 records from 285 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012010-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xb7pbf
title: Occurrence Download

description: A dataset containing 5531 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is India",
 "Year is 2010",
 "InstitutionCode is iNaturalist"
 ]
}

 The dataset includes 5531 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012022-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3jt4xp
title: Occurrence Download

description: A dataset containing 3908 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Prunus dulcis",
 "Year 1970-2010"
 ]
}

 The dataset includes 3908 records from 145 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012024-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17509358
title: Evaporation Driven Groundwater Hydrochemistry and Metal Dynamics in the Badain Jaran Desert, China

description: This dataset contains the hydrochemical parameters of the study area in the Badain Jaran Desert.
DOI: 10.15468/dl.87rbyg
title: Occurrence Download

description: A dataset containing 137 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Chinese Taipei, China, Hong Kong, Macao)",
 "TaxonKey is Cacopsylla chinensis"
 ]
}

 The dataset includes 137 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012025-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4dbawq
title: Occurrence Download

description: A dataset containing 1330806 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Polyporaceae"
 ]
}

 The dataset includes 1330806 records from 1215 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012016-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.55ucy6
title: Occurrence Download

description: A dataset containing 8725 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "TaxonKey is Convolvulaceae"
 ]
}

 The dataset includes 8725 records from 200 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0214091-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.haydtm
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((77.85056 35.55786,76.30816 34.50542,74.59439 34.50542,73.56613 33.58241,74.16595 32.72154,75.02284 32.21548,74.5087 31.26817,73.13769 29.71767,71.50961 27.76439,70.39566 28.29386,69.19602 27.15612,69.71015 25.85256,70.8241 24.53447,68.33913 24.1441,70.30997 20.41833,72.88062 20.97943,72.79493 18.15388,74.43893 15.30617,77.77472 7.75374,79.6511 11.6575,80.48505 15.10498,85.28026 18.49738,87.57361 20.85295,92.60411 22.38191,97.24087 27.76553,95.17228 29.36272,87.18921 28.35067,78.66122 32.51829,77.85056 35.55786))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Ceratina smaragdula (Fabricius, 1787)",
 "Year 1990-2022"
 ]
}

 The dataset includes 4 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0204359-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.upan7z
title: Occurrence Download

description: A dataset containing 368 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Ring ouzel national sample survey in the UK in 1999"
 ]
}

 The dataset includes 368 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0250449-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bewdq8
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ptyodactylus hasselquistii (Donndorff, 1798)",
 "HasCoordinate is true",
 "Country is Japan",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0214094-220831081235567/datasets/export for details.
DOI: 10.15468/dl.mcp38c
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pitangus sulphuratus (Linnaeus, 1766)",
 "HasCoordinate is true",
 "Country is Japan",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0214095-220831081235567/datasets/export for details.
DOI: 10.15468/dl.qra2q4
title: Occurrence Download

description: A dataset containing 3257 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Spain",
 "DatasetKey is one of (Ministerio de Medio Ambiente, y Medio Rural y Marino. Dirección General de Medio Natural y Política Forestal. Inventario Nacional de Biodiversidad 2007, Mamíferos, Banco de Datos de la Biodiversidad de la Comunitat Valenciana)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Martes foina (Erxleben, 1777)",
 "Year 2000-2022"
 ]
}

 The dataset includes 3257 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0204347-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x4jczv
title: Occurrence Download

description: A dataset containing 393 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Meehania fargesii (H.Lév.) C.Y.Wu"
 ]
}

 The dataset includes 393 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0250451-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.h49wn8
title: Occurrence Download

description: A dataset containing 76982 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Aprosmictus erythropterus (Gmelin, 1788)"
 ]
}

 The dataset includes 76982 records from 48 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0228243-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bu647n
title: Occurrence Download

description: A dataset containing 614 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Dirioxa pornia (Walker, 1849)"
 ]
}

 The dataset includes 614 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0204352-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.94w5mg
title: Occurrence Download

description: A dataset containing 441 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Physaria vitulifera Rydb."
 ]
}

 The dataset includes 441 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0078697-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mue426
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Vandeleuria oleracea (Bennett, 1832)",
 "HasCoordinate is true",
 "Country is Japan",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0214101-220831081235567/datasets/export for details.
DOI: 10.15468/dl.kprdkj
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Crocidura lasiura Dobson, 1890",
 "HasCoordinate is true",
 "Country is Japan",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0214102-220831081235567/datasets/export for details.