cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc2nt9jb
title: CCDC 2467182: Experimental Crystal Structure Determination

description: Related Article: Heng Qiu|2025|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5281/zenodo.16027952
title: US UAV Propulsion System Market 2025 To 2034

description: US UAV Propulsion System Market Size, Trends and Insights By Propulsion Type (Electric, Thermal, Hybrid), By Range (Long Range, Medium Range, Short Range), By End-user (Military Defense, Commercial, Consumers), and By Region - Industry Overview, Statistical Data, Competitive Analysis, Share, Outlook, and Forecast 2025–2034.

Reports Description

As per the US UAV Propulsion System Market analysis conducted by the CMI team, the US UAV propulsion systems market is expected to record a CAGR of 17.47% from 2025 to 2034. In 2025, the market size was USD 16.07 Billion. By 2034, the valuation is anticipated to reach USD 68.48 Billion.

For more information, DOWNLOAD FREE SAMPLE Now at https://www.custommarketinsights.com/request-for-free-sample/?reportid=71219
DOI: 10.5281/zenodo.16027953
title: US UAV Propulsion System Market 2025 To 2034

description: US UAV Propulsion System Market Size, Trends and Insights By Propulsion Type (Electric, Thermal, Hybrid), By Range (Long Range, Medium Range, Short Range), By End-user (Military Defense, Commercial, Consumers), and By Region - Industry Overview, Statistical Data, Competitive Analysis, Share, Outlook, and Forecast 2025–2034.

Reports Description

As per the US UAV Propulsion System Market analysis conducted by the CMI team, the US UAV propulsion systems market is expected to record a CAGR of 17.47% from 2025 to 2034. In 2025, the market size was USD 16.07 Billion. By 2034, the valuation is anticipated to reach USD 68.48 Billion.

For more information, DOWNLOAD FREE SAMPLE Now at https://www.custommarketinsights.com/request-for-free-sample/?reportid=71219
DOI: 10.15468/dl.cet6xk
title: Occurrence Download

description: A dataset containing 50 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Alyssum mouradicum"
 ]
}

 The dataset includes 50 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000371-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vjep4a
title: Occurrence Download

description: A dataset containing 428966 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Spain",
 "TaxonKey is Quercus suber"
 ]
}

 The dataset includes 428966 records from 104 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000340-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2nyu7z
title: Occurrence Download

description: A dataset containing 1263 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Phalaris canariensis",
 "Country is France",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1263 records from 102 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000374-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.m9x3y5
title: Occurrence Download

description: A dataset containing 2094 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Phalaris canariensis",
 "Country is Germany",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2094 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000375-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.6006671
title: Data of "Durability of self-healing cementitious systems with encapsulated polyurethane evaluated with a new pre-standard test method"

description: The dataset found here is related to the crack width measurements and water permeability tests performed in a study investigating the durability of self-healing cementitious systems with encapsulated polyurethane evaluated with a new pre-standard test method.
DOI: 10.5281/zenodo.6006672
title: Data of "Durability of self-healing cementitious systems with encapsulated polyurethane evaluated with a new pre-standard test method"

description: The dataset found here is related to the crack width measurements and water permeability tests performed in a study investigating the durability of self-healing cementitious systems with encapsulated polyurethane evaluated with a new pre-standard test method.
DOI: 10.15468/dl.skdp2p
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Populus alba",
 "Country is Uruguay",
 "HasCoordinate is true"
 ]
}

 The dataset includes 9 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000372-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3s2a4y
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Alyssum dagestanicum"
 ]
}

 The dataset includes 7 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000373-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.z9ga98
title: Occurrence Download

description: A dataset containing 25473 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is BARO Herbarium, The M.S University of Baroda"
 ]
}

 The dataset includes 25473 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000376-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16026837
title: Greenhouse gas mitigation potential of temperate fen paludicultures - Dataset

description: See ReadMe file for detailed description of available data and code.

Title of the associated publication: “Greenhouse gas mitigation potential of temperate fen paludicultures”

Authors: Carla Bockermann♦1,2 https://orcid.org/0000-0002-9484-5746, Tim Eickenscheidt♦1 https://orcid.org/0000-0002-3036-3238, Matthias Drösler https://orcid.org/0009-0007-4523-6964

♦Joint First Authorship: Carla Bockermann and Tim Eickenscheidt should be considered joint first author.

Institutional affiliations: 1Weihenstephan-Triesdorf University of Applied Sciences, Peatland Science Centre (PSC), Freising, Germany; 2Technical University of Munich, TUM School of Life Sciences, Freising, Germany

Corresponding Author Contact Information: carla.bockermann@hswt.de 

Abstract: Peatlands lose their valuable carbon (C) sink function under intensive land use and turn into greenhouse gases (GHG) emission hotspots. Despite scarce empirical evidence, paludiculture is expected to have significant GHG mitigation potential for organic soils. This study provides the first comprehensive dataset on full GHG balances for newly established fen paludicultures over a water table (WT) gradient spanning annual mean WT of −0.29 m to +0.04 m, stratified into moderately rewetted conditions (−0.30 m < WT < −0.10 m) and rewetted conditions (WT ≥ −0.10 m). We used manual and novel automated chambers to measure annual carbon dioxide (CO2), methane and nitrous oxide emissions from five typical fen plant species (Carex acutiformis, Phalaris arundinacea, Phragmites australis, Typha angustifolia and T. latifolia) newly established as peatland biomass crops in three temperate fen peatlands in southern Germany. Our study confirms a significant GHG mitigation potential for the tested plant species and found a C sink function of paludiculture. The results yield preliminary emission factors of −0.1 and −12.0 t CO2-equivalents ha−1 yr−1 under moderately rewetted conditions (n=39) and under rewetted conditions (n=43), respectively. We further identify an optimal annual mean WT of −0.07 m for maximizing GHG reduction across all plant species and sites with a net C sink achieved at a mean annual WT of ≥ −0.12 m. Presuming the conversion of arable land into paludiculture, a mitigation potential of up to −51.9 t CO2-equivalent is attainable per hectare and year. These findings highlight that well-managed paludiculture could make a considerable contribution toward achieving the politically targeted CO2 sink function in the LULUCF sector.
DOI: 10.5281/zenodo.16026838
title: Greenhouse gas mitigation potential of temperate fen paludicultures - Dataset

description: See ReadMe file for detailed description of available data and code.

Title of the associated publication: “Greenhouse gas mitigation potential of temperate fen paludicultures”

Authors: Carla Bockermann♦1,2 https://orcid.org/0000-0002-9484-5746, Tim Eickenscheidt♦1 https://orcid.org/0000-0002-3036-3238, Matthias Drösler https://orcid.org/0009-0007-4523-6964

♦Joint First Authorship: Carla Bockermann and Tim Eickenscheidt should be considered joint first author.

Institutional affiliations: 1Weihenstephan-Triesdorf University of Applied Sciences, Peatland Science Centre (PSC), Freising, Germany; 2Technical University of Munich, TUM School of Life Sciences, Freising, Germany

Corresponding Author Contact Information: carla.bockermann@hswt.de 

Abstract: Peatlands lose their valuable carbon (C) sink function under intensive land use and turn into greenhouse gases (GHG) emission hotspots. Despite scarce empirical evidence, paludiculture is expected to have significant GHG mitigation potential for organic soils. This study provides the first comprehensive dataset on full GHG balances for newly established fen paludicultures over a water table (WT) gradient spanning annual mean WT of −0.29 m to +0.04 m, stratified into moderately rewetted conditions (−0.30 m < WT < −0.10 m) and rewetted conditions (WT ≥ −0.10 m). We used manual and novel automated chambers to measure annual carbon dioxide (CO2), methane and nitrous oxide emissions from five typical fen plant species (Carex acutiformis, Phalaris arundinacea, Phragmites australis, Typha angustifolia and T. latifolia) newly established as peatland biomass crops in three temperate fen peatlands in southern Germany. Our study confirms a significant GHG mitigation potential for the tested plant species and found a C sink function of paludiculture. The results yield preliminary emission factors of −0.1 and −12.0 t CO2-equivalents ha−1 yr−1 under moderately rewetted conditions (n=39) and under rewetted conditions (n=43), respectively. We further identify an optimal annual mean WT of −0.07 m for maximizing GHG reduction across all plant species and sites with a net C sink achieved at a mean annual WT of ≥ −0.12 m. Presuming the conversion of arable land into paludiculture, a mitigation potential of up to −51.9 t CO2-equivalent is attainable per hectare and year. These findings highlight that well-managed paludiculture could make a considerable contribution toward achieving the politically targeted CO2 sink function in the LULUCF sector.
DOI: 10.15468/dl.mfejau
title: Occurrence Download

description: A dataset containing 16118 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Living Specimen, Occurrence evidence)",
 "Geometry POLYGON((-51.78608 -28.78914,-53.2555 -28.76436,-53.2879 -29.63344,-51.7899 -29.62772,-51.78608 -28.78914))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "License is one of (CC0 1.0, CC-BY 4.0)",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Aves, Mammalia, Amphibia, Chiroptera)",
 "Year 1975-2025"
 ]
}

 The dataset includes 16118 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000378-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16027294
title: How New Quality Productivity Drives China's Sustainable Development

description: Sustainability scholarship has long sought to identify mechanisms that reconcile economic growth with environmental integrity and social equity. However, existing research often treats productivity and sustainability as parallel domains, overlooking how innovation-driven productivity shifts can become a catalyst for integrated sustainable development. This study addresses this gap by introducing “New Quality Productivity” as a unifying framework that bridges technological, ecological, and institutional dimensions, specifically examining its dynamic role in advancing China’s sustainable development over 23 years (2000–2022).
DOI: 10.5281/zenodo.16027295
title: How New Quality Productivity Drives China's Sustainable Development

description: Sustainability scholarship has long sought to identify mechanisms that reconcile economic growth with environmental integrity and social equity. However, existing research often treats productivity and sustainability as parallel domains, overlooking how innovation-driven productivity shifts can become a catalyst for integrated sustainable development. This study addresses this gap by introducing “New Quality Productivity” as a unifying framework that bridges technological, ecological, and institutional dimensions, specifically examining its dynamic role in advancing China’s sustainable development over 23 years (2000–2022).
DOI: 10.15468/dl.vbmzvz
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Scapharca inaequivalvis",
 "Country is Bulgaria",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000379-250717081556266/datasets/export for details.
DOI: 10.15468/dl.28kked
title: Occurrence Download

description: A dataset containing 12232 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((13.70709 43.90214,40.84209 43.69508,40.84209 54.80594,26.40663 55.33018,13.70709 55.22664,13.70709 43.90214))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Carpodacus erythrinus",
 "Year 1991-2025"
 ]
}

 The dataset includes 12232 records from 59 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000380-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17026/ar/yiiobs
title: Van klein naar groot: de Luttekepoort te Harderwijk
title: Een archeologische opgraving
title: RAAP-rapport 4559

description: &lt;h4&gt;&lt;b&gt;Inleiding&lt;/h4&gt;&lt;/b&gt;
&lt;p&gt;In opdracht van de gemeente Harderwijk heeft RAAP op 28 en 29 mei 2020 een archeologische opgraving van beperkte omvang uitgevoerd in het kader van het project ‘herbouw Luttekepoort’ in Harderwijk
&lt;p&gt;Het voornaamste doel van het onderzoek was om eventueel aanwezige fundamenten van de stadspoort onder de bestaande bestratingen van de Luttekepoortstraat te lokaliseren, te documenteren en te waarderen. Daarnaast werd de ligging van kabels en leidingen in kaart gebracht voor zover die in beeld kwamen tijdens de ontgravingen. De aangetroffen fundamenten zijn na documentatie weer toegedekt en bestraat.&lt;/p&gt;
&lt;h4&gt;&lt;b&gt;Archeologie&lt;/h4&gt;&lt;/b&gt;
&lt;p&gt;Tijdens het veldonderzoek zijn de fundamenten van de binnenpoort van de Luttekepoort, de stadsmuur en de dwingelmuur teruggevonden onder de huidige straatstenen van de Luttekestraat. De funderingen van de Luttekepoort zijn aan beide zijden van de straat teruggevonden en vormden ooit de fundering van een rechthoekige toren. De muren van de poort omsluiten delen van de stadsmuur zodat de poort onderdeel werd van de laatmiddeleeuwse stadsversterkingen. Op slechts 20 cm onder de huidige straatstenen zijn de eerste muurfundamenten reeds zichtbaar.&lt;/p&gt;
&lt;h4&gt;&lt;b&gt;Aanbevelingen&lt;/h4&gt;&lt;/b&gt;
&lt;p&gt;Ondanks dat restanten van de funderingen van de poort , de stadsmuur en dwingelmuur zijn teruggevonden, waren grote delen verstoord door de aanleg van kabels en leidingen. Naast de verstoringen bleek ook dat grote delen van de stadsmuur en poort nog wel aanwezig waren, op slechts 20 cm onder de huidige straatstenen. Het verdient dan ook aanbeveling om, als aanvulling op het reeds uitgevoerde onderzoek, de werkzaamheden die dieper reiken dan de verstoringen door kabels en leidingen, archeologisch te laten begeleidden. Met name aan de noordzijde van de Luttekepoortstraat kon weinig worden gedocumenteerd door de aanwezigheid van de recente kabels en leidingen. Door het uitvoeren van een archeologische begeleiding tijdens de werkzaamheden kan de informatie over de fundamenten en de bouw van de Luttekepoort en de stadsmuur worden aangevuld.&lt;/p&gt;
DOI: 10.15468/dl.2tpsfj
title: Occurrence Download

description: A dataset containing 28 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Phalaris canariensis",
 "Country is Greece",
 "HasCoordinate is true"
 ]
}

 The dataset includes 28 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000383-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uvn9ge
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Phalaris canariensis",
 "Country is Iceland",
 "HasCoordinate is true"
 ]
}

 The dataset includes 5 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000384-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vkj5wd
title: Occurrence Download

description: A dataset containing 2104 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((5.22362 44.61802,22.49656 44.61802,22.49656 53.72935,5.22362 53.72935,5.22362 44.61802))",
 "HasCoordinate is true",
 "TaxonKey is Astragalus exscapus"
 ]
}

 The dataset includes 2104 records from 39 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000381-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ehxaxd
title: Occurrence Download

description: A dataset containing 122388 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lantana camara"
 ]
}

 The dataset includes 122388 records from 972 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000298-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48544/30ec56b2-347c-4b0e-b68b-f3dd5a30bf91
title: GenAI Literacy English version
DOI: 10.25549/annis-ouc17140692
title: Monastery, El Escorial, Spain, 1954

description: Monastery, El Escorial, Spain, 1954 June 16.
DOI: 10.25549/annis-ouc17141727
title: Lerida, Spain, 1954

description: Lerida, Spain, 1954 June 22.
DOI: 10.25549/annis-ouc17147956
title: Lerida, Spain, 1954

description: Lerida, Spain, 1954 June 22.
DOI: 10.25549/annis-ouc17144245
title: Cistercian Monastery, Poblet, Spain, 1954

description: Cistercian Monastery, Poblet, Spain, 1954 June 23.
DOI: 10.25549/annis-ouc17150511
title: El Castillo, Chichén Itzá, Mexico, 1938

description: Temple of Kukulkán, also known as "El Castillo, from Temple of Warriors," Chichén Itzá, Yucatán, Mexico, 1938 February 23.
DOI: 10.25549/annis-ouc17144611
title: El Castillo, Chichén Itzá, Mexico, 1938

description: Temple of Kukulkán, also known as "El Castillo," viewed "from ball court," Chichén Itzá, Yucatán, Mexico, 1938 February 23.
DOI: 10.25549/annis-ouc17141390
title: El Castillo, Chichén Itzá, Mexico, 1938

description: Temple of Kukulkán, also known as "El Castillo," viewed "from ball court," Chichén Itzá, Yucatán, Mexico, 1938 February 23.
DOI: 10.5281/zenodo.17559556
title: Global Reservoir Dataset (GRD)

description: Description:This dataset contains spatial polygons and estimated storage capacities for 425,023 global reservoirs. The storage volumes (vol_rep_km3) are derived through a hierarchical approach: prioritizing reported values from GeoDAR and HydroLAKE, and falling back to size-dependent empirical area-volume power laws for unlisted reservoirs.

Column Descriptions:

- status: Operational status of the reservoir (e.g., 0=Stable, 1=Constructed, 2=Disappeared,). (Type: String)- change_year: Reservoir's "Constructed" or "Disappeared" year. (Type: Integer/Year)- lon: Longitude of the reservoir geometric centroid (WGS84). (Type: Decimal Degrees)- lat: Latitude of the reservoir geometric centroid (WGS84). (Type: Decimal Degrees)- area_km2: Surface area of the reservoir water body. (Unit: km2)- geometry: Polygon geometry defining the reservoir boundary. (Type: Shapefile Polygon)- source: Source identifier for the reservoir boundary data. (Type: String)- vol_rep_km3: Representative storage volume. This is the best-available estimate, combining direct records and empirical modeling. (Unit: km3)- vol_source: Metadata indicating the origin of the volume estimate (e.g., 'GeoDAR', 'HydroLAKE', or specific empirical equation name). (Type: String)



"GeoDAR" (dataset): Wang, J., Walter, B. A., Yao, F., et al. (2022). GeoDAR: Georeferenced global dams and reservoirs dataset for bridging attributes and geolocations. *Earth System Science Data*, 14, 1869-1899.

"HydroLAKE" (dataset): Messager, M. L., Lehner, B., Grill, G., et al. (2016). Estimating the volume and age of water stored in global lakes using a geo-statistical approach. *Nature Communications*, 7, 13603.

"Messager" (empirical equation): Estimated using the general empirical equation provided in the same paper as "HydroLAKE" that relies solely on surface area.

"Song" (empirical equation): Song, C., Fan, C., Zhu, J., et al. (2022). A comprehensive geospatial database of nearly 100 000 reservoirs in China. *Earth System Science Data*, 14, 4017-4034.

"Pena-Arancibia" (empirical equation): Peña-Arancibia, J. L., Malerba, M. E., Wright, N., et al. (2023). Characterising the regional growth of on-farm storages and their implications for water resources under a changing climate. *Journal of Hydrology*, 625, 130097.