cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.30121315.v3
title: <b>Artical Figures and Data (VHF)</b>

description: Vertical heat flux (VHF) in the ocean is a key process that regulates surface temperature and influences regional climate patterns. In the Arabian Sea, seasonal monsoon winds dramatically alter ocean circulation and heat distribution. Our high-resolution simulations show that small-scale motions, called submesoscale dynamics, become especially active during summer, driving heat upward from below the surface. These processes contribute significantly to moving heat in the upper ocean, sometimes exceeding the influence of mesoscale eddies. In winter, however, this upward heat movement weakens or reverses, with some regions showing downward heat flow. This seasonal shift is driven not only by weaker winds and frontal structures but also by salt-finger convection, which pulls heat downward. These results highlight how small-scale ocean dynamics, working in tandem with monsoon cycles, can reshape the direction and strength of heat movement, key for understanding ocean-atmosphere interactions and predicting regional climate change.
DOI: 10.6084/m9.figshare.25688736.v5
title: German Experts on Afghanistan

description: The database was produced in the project "KNOWPRO: Knowledge Production in German Peace and Security Policy". It records Afghanistan experts active in Germany between 2001 and 2021, identified through their visibility via publications, media presence, and attributions (mentions and citations) by other experts. The database records the classification of each person as a regional or thematic expert, the number of publications on Afghanistan, the active period as an Afghanistan expert, the type of employment and the institutional assignment (university, think tank, politics).  
Experts were included in the database based on their number of publications on Afghanistan, their authorship for widely cited publications, and their media presence or participation in the Study Commission on Afghanistan by the German Bundestag. Likewise, people were included when they held specifically denoted “Afghanistan” positions, were mentioned in publications or interviews, or were involved in research projects on Afghanistan in Germany. Experts were included when they either primarily worked in Germany and/or published in German (among other languages); experts working primarily in Austria and Switzerland were excluded. 
Information about experts’ employment history and job status was collated using publicly available information on institutional or individual websites and portals such as LinkedIn and Xing. Publication numbers were extracted from website publication lists or the search results obtained on Google Scholar for the keyword “Afghanistan.” A publication was counted as soon as it had Afghanistan in its title. Both academic and policy papers were included, media contributions were not counted. For the classification as a regional rather than topical expert, the ratio of publications or media contributions on Afghanistan to other publications and education and occupation in area studies rather than security studies were considered. The time active until 2022 was determined via the dates of publications and media contributions.
DOI: 10.5281/zenodo.17700122
title: PDMFC UC4 CICFlowMeters 1 Dataset

description: This dataset contains network flows extracted from packet captures collected during DYNABIC UC4 attack experiments. For each scenario, packet captures were converted into bidirectional flows using CICFlowMeter and exported as CSV. The data is intended for machine learning training and analysis to detect these types of attacks and disruptions.
DOI: 10.5281/zenodo.17700121
title: PDMFC UC4 CICFlowMeters 1 Dataset

description: This dataset contains network flows extracted from packet captures collected during DYNABIC UC4 attack experiments. For each scenario, packet captures were converted into bidirectional flows using CICFlowMeter and exported as CSV. The data is intended for machine learning training and analysis to detect these types of attacks and disruptions.
DOI: 10.15468/dl.abczd5
title: Occurrence Download

description: A dataset containing 63 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Azemiops feae)",
 "Country is one of (China, India, Indonesia, Pakistan, Bangladesh, Japan, Philippines, Viet Nam, Türkiye, Iran (Islamic Republic of), Thailand, Myanmar, Korea, Republic of, Korea (Democratic People’s Republic of), Iraq, Afghanistan, Saudi Arabia, Uzbekistan, Malaysia, Yemen, Nepal, Sri Lanka, Kazakhstan, Syrian Arab Republic, Cambodia, Jordan, Azerbaijan, United Arab Emirates, Tajikistan, Israel, Lao People’s Democratic Republic, Lebanon, Kyrgyzstan, Turkmenistan, Singapore, Oman, Palestine, State of, Kuwait, Georgia, Mongolia, Armenia, Qatar, Bahrain, Timor-Leste, Cyprus, Bhutan, Maldives, Brunei Darussalam)",
 "Year is greater than or equal to 1980",
 "Year is less than or equal to 2025",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 63 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007210-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.25688736.v6
title: German Experts on Afghanistan

description: The database was produced in the project "KNOWPRO: Knowledge Production in German Peace and Security Policy". It records Afghanistan experts active in Germany between 2001 and 2021, identified through their visibility via publications, media presence, and attributions (mentions and citations) by other experts. The database records the classification of each person as a regional or thematic expert, the number of publications on Afghanistan, the active period as an Afghanistan expert, the type of employment and the institutional assignment (university, think tank, politics).  
Experts were included in the database based on their number of publications on Afghanistan, their authorship for widely cited publications, and their media presence or participation in the Study Commission on Afghanistan by the German Bundestag. Likewise, people were included when they held specifically denoted “Afghanistan” positions, were mentioned in publications or interviews, or were involved in research projects on Afghanistan in Germany. Experts were included when they either primarily worked in Germany and/or published in German (among other languages); experts working primarily in Austria and Switzerland were excluded. 
Information about experts’ employment history and job status was collated using publicly available information on institutional or individual websites and portals such as LinkedIn and Xing. Publication numbers were extracted from website publication lists or the search results obtained on Google Scholar for the keyword “Afghanistan.” A publication was counted as soon as it had Afghanistan in its title. Both academic and policy papers were included, media contributions were not counted. For the classification as a regional rather than topical expert, the ratio of publications or media contributions on Afghanistan to other publications and education and occupation in area studies rather than security studies were considered. The time active until 2022 was determined via the dates of publications and media contributions.
DOI: 10.7910/dvn/ugw3th
title: PDB - 5FB8: Structure of Interleukin-16 bound to the mAb 14.1 (311K, 38°C, 200 ns) - random seed #3

description: 5FB8: Structure of Interleukin-16 bound to the mAb 14.1 (311K, 38°C, 200 ns) - random seed #3. Contains PDBs obtained every 50 ns and free binding energy calculations.
DOI: 10.15468/dl.c9798e
title: Occurrence Download

description: A dataset containing 171116 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Thunnus albacares"
 ]
}

 The dataset includes 171116 records from 169 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049374-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fb5xjb
title: Occurrence Download

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

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049430-250811113504898/datasets/export for details.
DOI: 10.15468/dl.59339w
title: Occurrence Download

description: A dataset containing 7732 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Human Observation, Occurrence evidence, Machine Observation)",
 "Continent is North America",
 "Country is United States of America",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Abies lowiana, Abies concolor, Abies concolor X Abies grandis)",
 "Year 1995-2025"
 ]
}

 The dataset includes 7732 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031832-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/ajaak8
title: Some records of common herpetofauna species made by Ukrainian herpetologists during 2025 field season in Ukraine

description: The dataset shows information on records of various representatives of native and invasive (e.g. Trachemys scripta, n=5 records) herpetofauna species registered on the territory of Ukraine by Ukrainian herpetologists: Marushchak O., Nekrasova O., Shorokhov O., Shevchuk V., Kazak E. and number of other scientists, who contributed their data. Occasional records, when identified to the level of species were also included. Some records, made by third parties, but provided with date, photo and coordinates of location were also added to the table, since they make their contribution to collecting of data on herpetoculture distribution during the war, when the opportunities of field reearch are limited. The dataset represents records from Zakarpattia, Lviv, Zhytomyr, Rivne, Vinnytsia, Cherkasy, Mykolaiv, Poltava, Odesa, Chernivtsi, Chernihiv, Ivano-Frankivsk and Kyiv regions of Ukraine. The dataset also includes records of species, that are listed in Red Data Book of Ukraine and other lists of species strictly protected within European Union (e.g. Emys orbicularis - European pond turtle, n=26 records - species of high importance in term of protection in Europe) and common species which can be found easier and in bigger quantities and wider set of habitats.
DOI: 10.15468/dl.wsab8w
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aulonocara nyassae",
 "HasCoordinate is true",
 "Geometry POLYGON((-78 12, -73 12, -73 0, -78 0, -78 12))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031834-251025141854904/datasets/export for details.
DOI: 10.34740/kaggle/dsv/13723959
title: Market Prices of Commodities in South Tangerang
DOI: 10.15468/dl.92xgrk
title: Occurrence Download

description: A dataset containing 886 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "NetworkKey is 99d66b6c-9087-452f-a9d4-f15f2c2d0e7e",
 "TaxonKey is Chordata"
 ]
 },
 {
 "and" : [
 "InstitutionCode is one of (UMMZ)",
 "Country is one of (United States of America)",
 "DatasetKey is one of (University of Michigan Museum of Zoology, Division of Birds)",
 "BasisOfRecord is one of (Specimen)",
 "TaxonKey is one of (Aves [GBIF Backbone Taxonomy])",
 "Preparations is one of (Skel - 1, Wings_tail - 1)",
 "StateProvince is one of (Michigan, Ohio)",
 "EventDate 2020-12-31-2024-01-01"
 ]
 }
 ]
}

 The dataset includes 886 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031835-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5fp4sd
title: Occurrence Download

description: A dataset containing 39 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((-106.6188 20.69913, -106.4688 20.69913, -106.4688 20.84913, -106.6188 20.84913, -106.6188 20.69913))"
 ]
}

 The dataset includes 39 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031836-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3v8nwy
title: Occurrence Download

description: A dataset containing 344 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "GadmGid is one of (USA.41_1, GEO)",
 "TaxonKey is Didelphidae"
 ]
}

 The dataset includes 344 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031837-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.g2wrus
title: Occurrence Download

description: A dataset containing 2485 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pelodiscus sinensis"
 ]
}

 The dataset includes 2485 records from 91 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031839-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wfnp73
title: Occurrence Download

description: A dataset listing the 3411 species recorded in GBIF matching the query:
{
 "and" : [
 "DatasetKey is African fish collection of the Africamuseum",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset's 3411 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031827-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gg4cr3
title: Occurrence Download

description: A dataset listing the 6 species recorded in GBIF matching the query:
{
 "DatasetKey" : [
 "is Annual wrack biomass of the northern Portugal sandy beaches"
 ]
}

 The dataset's 6 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031826-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cb3v4t
title: Occurrence Download

description: A dataset containing 41216 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Agrimonia eupatoria",
 "Country is Germany",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Year 1980-2025",
 {
 "or" : [
 "StateProvince is null",
 "StateProvince is Bayern"
 ]
 }
 ]
}

 The dataset includes 41216 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031838-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f8t3v8
title: Occurrence Download

description: A dataset containing 1216 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Espeletiopsis corymbosa"
 ]
}

 The dataset includes 1216 records from 45 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031840-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17602049
title: Data from: Terroir and rootstock effects on leaf shape in California Central Valley vineyards

description: Embedded in a single leaf shape are the latent signatures of genetic, developmental, and environmental effects. In viticulture, choice of location and rootstock are important decisions that affect the performance and production of the shoot. We hypothesize that these effects influence plant morphology, as reflected in leaf shape. We sample 1879 leaves arising from scion and rootstock combinations from commercial vineyards in the Central Valley of California. Our design tests 20 pairwise contrasts between Cabernet Sauvignon and Chardonnay scions from San Joaquin, Merced, and Madera counties from vines grafted to Teleki 5C, 1103 Paulsen, and Freedom rootstocks. We quantify clear differences between Cabernet Sauvignon and Chardonnay leaves. However, we also detect a separate, statistically independent source of shape variance that affects both Cabernet Sauvignon and Chardonnay leaves similarly. We find that this other shape difference is associated with differences in rootstock and location. The shape difference that arises from rootstock and location affects the basal part of the leaf near the petiole, known as the petiolar sinus, and affects its closure. This shape effect is independent from previously described shape differences that arise from genetic, developmental, or size effects.

Access to the published article is availble under DOI: https://doi.org/10.1002/ppp3.10620

All code and image measurements used to reproduce the analyses and figures in the manuscript are available on GitHub:https://github.com/DanChitwood/terroir_and_rootstock
description: All authors were supported by the National Science Foundation Plant Genome Research Program award number 1546869. DHC was additionally supported by the National Science Foundation Plant Genome Research Program award numbers IOS-2310355, IOS-2310356, and IOS-2310357. ZM was also supported by the Canada Research Chairs Program.
DOI: 10.5281/zenodo.17602048
title: Data from: Terroir and rootstock effects on leaf shape in California Central Valley vineyards

description: Embedded in a single leaf shape are the latent signatures of genetic, developmental, and environmental effects. In viticulture, choice of location and rootstock are important decisions that affect the performance and production of the shoot. We hypothesize that these effects influence plant morphology, as reflected in leaf shape. We sample 1879 leaves arising from scion and rootstock combinations from commercial vineyards in the Central Valley of California. Our design tests 20 pairwise contrasts between Cabernet Sauvignon and Chardonnay scions from San Joaquin, Merced, and Madera counties from vines grafted to Teleki 5C, 1103 Paulsen, and Freedom rootstocks. We quantify clear differences between Cabernet Sauvignon and Chardonnay leaves. However, we also detect a separate, statistically independent source of shape variance that affects both Cabernet Sauvignon and Chardonnay leaves similarly. We find that this other shape difference is associated with differences in rootstock and location. The shape difference that arises from rootstock and location affects the basal part of the leaf near the petiole, known as the petiolar sinus, and affects its closure. This shape effect is independent from previously described shape differences that arise from genetic, developmental, or size effects.

Access to the published article is availble under DOI: https://doi.org/10.1002/ppp3.10620

All code and image measurements used to reproduce the analyses and figures in the manuscript are available on GitHub:https://github.com/DanChitwood/terroir_and_rootstock
description: All authors were supported by the National Science Foundation Plant Genome Research Program award number 1546869. DHC was additionally supported by the National Science Foundation Plant Genome Research Program award numbers IOS-2310355, IOS-2310356, and IOS-2310357. ZM was also supported by the Canada Research Chairs Program.
DOI: 10.15468/dl.ujdt85
title: Occurrence Download

description: A dataset containing 134 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is one of (USA.41_1, USA.11_1)",
 "OccurrenceStatus is Present",
 "TaxonKey is Mephitis mephitis"
 ]
}

 The dataset includes 134 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031843-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hjcted
title: Occurrence Download

description: A dataset containing 358 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is one of (USA.41_1, USA.11_1)",
 "TaxonKey is Lontra canadensis"
 ]
}

 The dataset includes 358 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031842-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6chywc
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is New Caledonia",
 "Year is greater than or equal to 2000",
 "Year is less than or equal to 2024",
 "BasisOfRecord is Human Observation",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "ClassKey is ",
 {
 "not" : {
 "ScientificName" : [
 "is Sternula nereis Gould, 1843"
 ]
 }
 }
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031841-251025141854904/datasets/export for details.
DOI: 10.34740/kaggle/dsv/13723973
title: Booru.org Top Leaderboard
DOI: 10.5517/ccdc.csd.cc2krvnv
title: CCDC 2376418: Experimental Crystal Structure Determination

description: Related Article: Cunfa SUN|2024|CSD Communication|||
description: Related Article: Xin Ge, Ruihang Chen, Hongwen Deng, Lei Fang, Kunyi Pan, Bochen Shan, Bangde Gu, Xin Sun, Yun Zheng, Boon K. Teo, Cunfa Sun|2025|Nanoscale|17|25490|doi:10.1039/d5nr03643g
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: 10.5517/ccdc.csd.cc2mjbgz
title: CCDC 2428771: Experimental Crystal Structure Determination

description: Related Article: Xintong Li, Junhui Liu, Junwei Xiang, Qingsong Lv, Juan Wang, Fengwan Guo|2025|Chem.Commun.|61|18184|doi:10.1039/d5cc05128b
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: 10.5517/ccdc.csd.cc2mzgbf
title: CCDC 2442345: Experimental Crystal Structure Determination

description: Related Article: Nian-Hao Wang, Jin-Mei Liu, Abdusalam Ablez, Lin-Xu Tian, Yi Liu, Bin Tan, Zhao-Feng Wu, Xiao-Ying Huang|2025|J.Mater.Chem.C|13|22263|doi:10.1039/d5tc02781k
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.