cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/njsj3dfsm3.1
title: Probabilistic Assessment of Water Network Influence Zones and Ecosystem Responses Following the Middle Route of the South-to-North Water Diversion Project

description: This dataset comprises multi-source remote sensing, environmental, and climatic data used in the study "Probabilistic Assessment of Water Network Influence Zones and Ecosystem Responses Following the Middle Route of the South-to-North Water Diversion Project."
DOI: 10.15468/dl.425fg9
title: Occurrence Download

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

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024797-250711103210423/datasets/export for details.
DOI: 10.5517/ccdc.csd.cc2hhdzd
title: CCDC 2308724: Experimental Crystal Structure Determination

description: Related Article: Michael Lange, Clemens Kühn, Anita Nair, Thomas Fuchß, Christoph Saal|2025|Eur.J.Pharm.Sci.|212|107174|doi:10.1016/j.ejps.2025.107174
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.cc2ls5yj
title: CCDC 2406528: Experimental Crystal Structure Determination

description: Related Article: Ajoy Kumar  Bauri, Ashwani Kumar and Ravi Makde|2024|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: 10.5517/ccdc.csd.cc2m6ptc
title: CCDC 2419513: Experimental Crystal Structure Determination

description: Related Article: Qian Zhou, Mingxia Feng, Caihong Shi, Mengqiu Qian, Xiurong Ma, Runying He, Xian Meng, Yonggang Shi, Qiue Cao, Liyan Zheng|2025|Chemical Science|16|9988|doi:10.1039/D5SC01503K
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: 10.15151/esrf-dc-2217270524
title: High-resolution powder diffraction study of the double trillium lattice magnet K2Co2(SO4)3

description: High-resolution diffraction data were collected for the double trillium lattice magnet K2Co2(SO4)3 across its structural phase transition. Peak splitting indicating of the monoclinic symmetry and the superstructure reflections have been observed. Additionally, the abrupt changes in the monoclinic angle and unit-cell volume, as well as the phase coexistence indicate the first-order nature of this structural phase transition.
DOI: 10.17632/krtj3bhpsr
title: PREDICTING CUSTOMER SATISFACTION IN MOBILE BANKING APPS

description: This research examines the factors that impact customer satisfaction in mobile banking 
applications, with a focus on key aspects, including security, ease of use, transaction speed, and 
customer support. A quantitative method was employed to gather data from 300 participants 
through surveys that investigated perceptions of features in mobile banking apps and 
demographic factors, including age, profession, and income level. The analysis, which included 
Chi-Square tests, ANOVA, and correlation techniques, indicates that satisfaction levels tend to 
be high across various age groups and job positions; however, elements such as navigation ease 
and security perceptions significantly influence user experiences. The study also finds that 
customer satisfaction remains consistently high across different demographic categories, 
although minor enhancements in security measures and transaction speed could further 
improve the overall user experience. The outcomes provide important suggestions for financial 
institutions to refine their mobile banking applications to build user trust, satisfaction, and 
loyalty.
DOI: 10.17632/krtj3bhpsr.1
title: PREDICTING CUSTOMER SATISFACTION IN MOBILE BANKING APPS

description: This research examines the factors that impact customer satisfaction in mobile banking 
applications, with a focus on key aspects, including security, ease of use, transaction speed, and 
customer support. A quantitative method was employed to gather data from 300 participants 
through surveys that investigated perceptions of features in mobile banking apps and 
demographic factors, including age, profession, and income level. The analysis, which included 
Chi-Square tests, ANOVA, and correlation techniques, indicates that satisfaction levels tend to 
be high across various age groups and job positions; however, elements such as navigation ease 
and security perceptions significantly influence user experiences. The study also finds that 
customer satisfaction remains consistently high across different demographic categories, 
although minor enhancements in security measures and transaction speed could further 
improve the overall user experience. The outcomes provide important suggestions for financial 
institutions to refine their mobile banking applications to build user trust, satisfaction, and 
loyalty.
DOI: 10.17632/5yrhp3852c
title: Venture Capitals, Corporate Key Core Technological Innovation, and ESG Performance

description: Venture Capitals, Corporate Key Core Technological Innovation, and ESG Performance
DOI: 10.17632/5yrhp3852c.1
title: Venture Capitals, Corporate Key Core Technological Innovation, and ESG Performance

description: Venture Capitals, Corporate Key Core Technological Innovation, and ESG Performance
DOI: 10.17632/62y6452bbg
title: Carrot and Stick: Impact of Regulations, Subsidies, and Obligations on the Development of Cashless Payments in Poland

description: This dataset contains data used in the paper titled "Carrot and Stick: Impact of Regulations, Subsidies, and Obligations on the Development of Cashless Payments in Poland".
DOI: 10.17632/62y6452bbg.1
title: Carrot and Stick: Impact of Regulations, Subsidies, and Obligations on the Development of Cashless Payments in Poland

description: This dataset contains data used in the paper titled "Carrot and Stick: Impact of Regulations, Subsidies, and Obligations on the Development of Cashless Payments in Poland".
DOI: 10.15468/dl.hd44e9
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is BOLD:ACC0739"
 ]
}

 The dataset includes 10 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024799-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6kmcdy
title: Occurrence Download

description: A dataset containing 14209 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Chenopodium album",
 "Country is Russian Federation",
 "HasCoordinate is true"
 ]
}

 The dataset includes 14209 records from 67 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024798-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6cs4ez
title: Occurrence Download

description: A dataset containing 60446 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Scirpus ardea, Scirpus ardea coreanus, Eriophorum latifolium, Carex alopecurus, Eriophorum depauperatum, Eriophorum latifolium congestum, Eriophorum latifolium ramosum, Eriophorum paniculatum, Eriophorum polystachion latifolium, Eriophorum polystachion latifolium)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen, Machine Observation)"
 ]
 }
 },
 "Continent is Europe",
 "Year is greater than or equal to 1980",
 "Year is less than or equal to 2024"
 ]
}

 The dataset includes 60446 records from 387 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024753-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2x3uf9
title: Occurrence Download

description: A dataset containing 269 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Strigosella cabulica"
 ]
}

 The dataset includes 269 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024800-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1388327.10fu
title: SH1388327.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1388329.10fu
title: SH1388329.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1388330.10fu
title: SH1388330.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1388331.10fu
title: SH1388331.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1388333.10fu
title: SH1388333.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1388335.10fu
title: SH1388335.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1388338.10fu
title: SH1388338.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1388339.10fu
title: SH1388339.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1388340.10fu
title: SH1388340.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1388341.10fu
title: SH1388341.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15468/dl.jexwfu
title: Occurrence Download

description: A dataset containing 105 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Melasma arvense (Benth.) Hand.-Mazz."
 ]
}

 The dataset includes 105 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003270-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/uschist-ouc110757436
title: Daily Trojan, vol. 27, no. 80, Feb 18, 1936

description: Southern California Daily Trojan, vol. 27, no. 80, February 18, 1936.
DOI: 10.71819/jejfms
title: Sistematização de dados históricos de plantas medicinais e alimentícias no Brasil

description: Esse estudo tem como objetivo organizar e sistematizar dados históricos sobre plantas medicinais e alimentícias no Brasil, com base nas obras: 'Historia Naturalis Brasiliae' (HNB), de Piso e Marcgrave, e 'Systema Materiae Medicae Vegetabilis Brasiliensis', de Karl F. P. von Martius. Além dessas, outros trabalhos são considerados relevantes, como o artigo 'Plant Knowledge in the Historia Naturalis Brasiliae (1648): Retentions of Seventeenth-Century Plant Use in Brazil' (Alcantara-Rodriguez et al., 2019) e o livro 'Plantas Usadas Pelos Brasileiros e Suas Substâncias Medicinais' (Martius, 2023). Os dados coletados incluem nome popular, nome científico, origem do nome popular, usos das plantas e suas formas de uso. Todas as informações são organizadas em tabelas na plataforma online GRIST, permitindo analisar a disseminação do conhecimento sobre as plantas ao longo do tempo e identificar os diferentes usos nas regiões brasileiras.
DOI: 10.25549/uschist-ouc110757430
title: Daily Trojan, vol. 27, no. 82, Feb 20, 1936

description: Southern California Daily Trojan, vol. 27, no. 82, February 20, 1936.
DOI: 10.25549/uschist-ouc110757462
title: Daily Trojan, vol. 27, no. 100, Mar 17, 1936

description: Southern California Daily Trojan, vol. 27, no. 100, March 17, 1936.
DOI: 10.25549/uschist-ouc110757490
title: Daily Trojan, vol. 27, no. 104, Mar 23, 1936

description: Southern California Daily Trojan, vol. 27, no. 104, March 23, 1936.
DOI: 10.25549/uschist-ouc110757496
title: Daily Trojan, vol. 27, no. 109, Mar 30, 1936

description: Southern California Daily Trojan, vol. 27, no. 109, March 30, 1936.
DOI: 10.25549/uschist-ouc110756415
title: Daily Trojan, vol. 24, no. 145, May 17, 1933

description: Southern California Daily Trojan, vol. 24, no. 145, May 17, 1933.
DOI: 10.25549/uschist-ouc110756461
title: Daily Trojan, vol. 24, no. 151, May 25, 1933

description: Southern California Daily Trojan, vol. 24, no. 151, May 25, 1933.
DOI: 10.25549/uschist-ouc110756463
title: Southern California Trojan, vol. 12, no. 1, June 21, 1933

description: Southern California Trojan, vol. 12, no. 1, June 21, 1933. This exemplar lacks undamaged pages 1-2.
DOI: 10.25549/uschist-ouc110756467
title: Southern California Trojan, vol. 12, no. 6, July 11, 1933

description: Southern California Trojan, vol. 12, no. 6, July 11, 1933.
DOI: 10.25549/uschist-ouc110756521
title: Daily Trojan, vol. 25, no. 9, Oct 4, 1933

description: Southern California Daily Trojan, vol. 25, no. 9, October 4, 1933.
DOI: 10.25549/uschist-ouc110756497
title: Daily Trojan, vol. 25, no. 10, Oct 5, 1933

description: Southern California Daily Trojan, vol. 25, no. 10, October 5, 1933. This exemplar lacks page 4.