cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.30268813
title: <b>Comprehensive Metagenomic Profiling of the Cervical Microbiome in Patients with Cervical Insufficiency.</b>

description: The cervicovaginal microbiome is central to pregnancy health; however, the combined influence of bacteria, viruses, and phages remains unclear. We performed shotgun metagenomic sequencing of 232 cervical samples from 116 pregnant women stratified by cerclage type, cervical insufficiency, membrane bulging, preterm birth, and anatomical site. Genome-resolved analyses revealed distinct microbial and viral signatures across clinical states. Prophages were frequently integrated in <i>Lactobacillus crispatus</i>, consistent with a reduced biosynthetic capacity; the enrichment of <i>Bifidobacterium breve</i>, <i>Prevotella bivia</i>, and <i>Gardnerella vaginalis</i> marked cervical insufficiency and membrane bulging, conditions predictive of preterm birth. Virome profiling identified the Epstein–Barr virus and high-risk human papillomaviruses, which were linked to reduced <i>Lactobacillus</i>, functional reprogramming, and <i>G. vaginalis </i>expansion. Emergent cerclage cases showed deeper dysbiosis than prophylactic cases did; preterm samples exhibited reduced lipid metabolism essential for cervical stability. These results demonstrated how phages, viruses, and bacterial dysbiosis jointly shape cervical microbial function, thus offering insights into predicting risks for adverse pregnancy outcomes.
DOI: 10.6084/m9.figshare.30268813.v1
title: <b>Comprehensive Metagenomic Profiling of the Cervical Microbiome in Patients with Cervical Insufficiency.</b>

description: The cervicovaginal microbiome is central to pregnancy health; however, the combined influence of bacteria, viruses, and phages remains unclear. We performed shotgun metagenomic sequencing of 232 cervical samples from 116 pregnant women stratified by cerclage type, cervical insufficiency, membrane bulging, preterm birth, and anatomical site. Genome-resolved analyses revealed distinct microbial and viral signatures across clinical states. Prophages were frequently integrated in <i>Lactobacillus crispatus</i>, consistent with a reduced biosynthetic capacity; the enrichment of <i>Bifidobacterium breve</i>, <i>Prevotella bivia</i>, and <i>Gardnerella vaginalis</i> marked cervical insufficiency and membrane bulging, conditions predictive of preterm birth. Virome profiling identified the Epstein–Barr virus and high-risk human papillomaviruses, which were linked to reduced <i>Lactobacillus</i>, functional reprogramming, and <i>G. vaginalis </i>expansion. Emergent cerclage cases showed deeper dysbiosis than prophylactic cases did; preterm samples exhibited reduced lipid metabolism essential for cervical stability. These results demonstrated how phages, viruses, and bacterial dysbiosis jointly shape cervical microbial function, thus offering insights into predicting risks for adverse pregnancy outcomes.
DOI: 10.5517/cc538fy
title: CCDC 152099: Experimental Crystal Structure Determination

description: Related Article: C.A.Ilioudis, K.S.B.Hancock, D.G.Georganopoulou, J.W.Steed|2000|New J.Chem.|24|787|doi:10.1039/b004641h
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/cc538tb
title: CCDC 152111: Experimental Crystal Structure Determination

description: Related Article: C.A.Ilioudis, K.S.B.Hancock, D.G.Georganopoulou, J.W.Steed|2000|New J.Chem.|24|787|doi:10.1039/b004641h
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/cc5389t
title: CCDC 152095: Experimental Crystal Structure Determination

description: Related Article: C.A.Ilioudis, K.S.B.Hancock, D.G.Georganopoulou, J.W.Steed|2000|New J.Chem.|24|787|doi:10.1039/b004641h
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/cc538cw
title: CCDC 152097: Experimental Crystal Structure Determination

description: Related Article: C.A.Ilioudis, K.S.B.Hancock, D.G.Georganopoulou, J.W.Steed|2000|New J.Chem.|24|787|doi:10.1039/b004641h
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/cc538dx
title: CCDC 152098: Experimental Crystal Structure Determination

description: Related Article: C.A.Ilioudis, K.S.B.Hancock, D.G.Georganopoulou, J.W.Steed|2000|New J.Chem.|24|787|doi:10.1039/b004641h
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/cc538gz
title: CCDC 152100: Experimental Crystal Structure Determination

description: Related Article: C.A.Ilioudis, K.S.B.Hancock, D.G.Georganopoulou, J.W.Steed|2000|New J.Chem.|24|787|doi:10.1039/b004641h
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/cc538h0
title: CCDC 152101: Experimental Crystal Structure Determination

description: Related Article: C.A.Ilioudis, K.S.B.Hancock, D.G.Georganopoulou, J.W.Steed|2000|New J.Chem.|24|787|doi:10.1039/b004641h
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/cc538j1
title: CCDC 152102: Experimental Crystal Structure Determination

description: Related Article: C.A.Ilioudis, K.S.B.Hancock, D.G.Georganopoulou, J.W.Steed|2000|New J.Chem.|24|787|doi:10.1039/b004641h
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/cc538k2
title: CCDC 152103: Experimental Crystal Structure Determination

description: Related Article: C.A.Ilioudis, K.S.B.Hancock, D.G.Georganopoulou, J.W.Steed|2000|New J.Chem.|24|787|doi:10.1039/b004641h
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/cc538l3
title: CCDC 152104: Experimental Crystal Structure Determination

description: Related Article: C.A.Ilioudis, K.S.B.Hancock, D.G.Georganopoulou, J.W.Steed|2000|New J.Chem.|24|787|doi:10.1039/b004641h
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/cc538m4
title: CCDC 152105: Experimental Crystal Structure Determination

description: Related Article: C.A.Ilioudis, K.S.B.Hancock, D.G.Georganopoulou, J.W.Steed|2000|New J.Chem.|24|787|doi:10.1039/b004641h
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/cc538n5
title: CCDC 152106: Experimental Crystal Structure Determination

description: Related Article: C.A.Ilioudis, K.S.B.Hancock, D.G.Georganopoulou, J.W.Steed|2000|New J.Chem.|24|787|doi:10.1039/b004641h
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/cc538p6
title: CCDC 152107: Experimental Crystal Structure Determination

description: Related Article: C.A.Ilioudis, K.S.B.Hancock, D.G.Georganopoulou, J.W.Steed|2000|New J.Chem.|24|787|doi:10.1039/b004641h
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: 10.15468/dl.kv78sy
title: Occurrence Download

description: A dataset containing 38536 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Herbarium Hamburgense"
 ]
}

 The dataset includes 38536 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0071219-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.11526769
title: A checklist of the spiders (Arachnida, Araneae) of the Roodeplaatdam Nature Reserve, South Africa
title: South African National Survey

description: A checklist of the spiders from the Roodeplaatdam Nature Reserve in the Gauteng Province, South Africa, is provided. The checklist was compiled South African National Survey of Arachnida (SANSA) database. A total of 245 species from 40 families and 161 genera are presently protected in the reserve. The most species-rich families are the Salticidae (25 spp.), Thomisidae (37 spp.), and Araneidae (28 spp.), while 15 families are represented by singletons. The global distribution, endemicity, and conservation status for each species are provided. Most species (97%) have a wide distribution range and are of Least Concern, two species are DataDeficient, and four species are of Special Concern. Roodeplaatdam Nature Reserve is a type locality for twelve new species.
DOI: 10.5281/zenodo.11526770
title: A checklist of the spiders (Arachnida, Araneae) of the Roodeplaatdam Nature Reserve, South Africa
title: South African National Survey

description: A checklist of the spiders from the Roodeplaatdam Nature Reserve in the Gauteng Province, South Africa, is provided. The checklist was compiled South African National Survey of Arachnida (SANSA) database. A total of 245 species from 40 families and 161 genera are presently protected in the reserve. The most species-rich families are the Salticidae (25 spp.), Thomisidae (37 spp.), and Araneidae (28 spp.), while 15 families are represented by singletons. The global distribution, endemicity, and conservation status for each species are provided. Most species (97%) have a wide distribution range and are of Least Concern, two species are DataDeficient, and four species are of Special Concern. Roodeplaatdam Nature Reserve is a type locality for twelve new species.
DOI: 10.6084/m9.figshare.26022900
title: Five genes identified as prognostic markers for colorectal cancer through the integration of genome-wide association study and expression quantitative trait loci data

description: <b>Background:</b> Colorectal cancer (CRC) is a prominent form of cancer globally, ranking second in terms of prevalence and serving as a leading cause of cancer-related deaths, but the underlying biological interpretation remains largely unknown. <b>Methods:</b> We used the summary data-based Mendelian randomization method to integrate CRC genome-wide association studies (n<sub>case</sub> = 7062; n<sub>control</sub> = 195,745) and expression quantitative trait <i>loci</i> summary data in peripheral whole blood (Consortium for Architecture of Gene Expression: n = 2765; Genotype-Tissue Expression [v8]: n = 755) and colon tissue (colon-transverse: n = 406; colon-sigmoid: n = 373) and identified related genes. <b>Results:</b> Genes <i>ABTB1</i>, <i>CYP21A2</i>, <i>NLRP1</i>, <i>PHKG1</i> and <i>PIP5K1C</i> have emerged as significant prognostic markers for CRC patient survival. Functional analysis revealed their involvement in cancer cell migration and invasion mechanisms, providing valuable insights for the development of future anti-CRC drugs. <b>Conclusion:</b> We successfully identified five CRC risk genes, providing new insights and research directions for the effective mechanisms of CRC. The primary objective of our study was to detect functional genes and regulatory elements in colorectal cancer (CRC) by combining genome-wide association study summary data with expression quantitative trait <i>loci</i> data. Through the utilization of the summary data-based Mendelian randomization method, we successfully integrated CRC genome-wide association study and expression quantitative trait <i>loci</i> datasets, resulting in the identification of 135 risk genes associated with CRC. Comprehensive Gene Ontology and Kyoto Encyclopedia of Genes and Genomes enrichment analyses revealed that these 135 risk genes are significantly enriched in regulatory pathways crucial for cancer cell growth, metabolic processes and immune response. By combining data from colon adenocarcinoma and rectum adenocarcinoma cohorts within The Cancer Genome Atlas database, we discovered that among the 135 risk genes, <i>ABTB1</i>, <i>CYP21A2</i>, <i>NLRP1</i>, <i>PHKG1</i> and <i>PIP5K1C</i> are strongly associated with the survival outcomes of CRC patients. Notably, the <i>CYP21A2</i> gene exhibited a positive correlation with pathways involved in the proliferation and migration of CRC, underscoring its potential role as a susceptibility gene and a promising target for clinical intervention in CRC. These results provide important insights into the molecular mechanisms of CRC genomics and provide potential targets for treatment.
DOI: 10.6084/m9.figshare.26022900.v1
title: Five genes identified as prognostic markers for colorectal cancer through the integration of genome-wide association study and expression quantitative trait loci data

description: <b>Background:</b> Colorectal cancer (CRC) is a prominent form of cancer globally, ranking second in terms of prevalence and serving as a leading cause of cancer-related deaths, but the underlying biological interpretation remains largely unknown. <b>Methods:</b> We used the summary data-based Mendelian randomization method to integrate CRC genome-wide association studies (n<sub>case</sub> = 7062; n<sub>control</sub> = 195,745) and expression quantitative trait <i>loci</i> summary data in peripheral whole blood (Consortium for Architecture of Gene Expression: n = 2765; Genotype-Tissue Expression [v8]: n = 755) and colon tissue (colon-transverse: n = 406; colon-sigmoid: n = 373) and identified related genes. <b>Results:</b> Genes <i>ABTB1</i>, <i>CYP21A2</i>, <i>NLRP1</i>, <i>PHKG1</i> and <i>PIP5K1C</i> have emerged as significant prognostic markers for CRC patient survival. Functional analysis revealed their involvement in cancer cell migration and invasion mechanisms, providing valuable insights for the development of future anti-CRC drugs. <b>Conclusion:</b> We successfully identified five CRC risk genes, providing new insights and research directions for the effective mechanisms of CRC. The primary objective of our study was to detect functional genes and regulatory elements in colorectal cancer (CRC) by combining genome-wide association study summary data with expression quantitative trait <i>loci</i> data. Through the utilization of the summary data-based Mendelian randomization method, we successfully integrated CRC genome-wide association study and expression quantitative trait <i>loci</i> datasets, resulting in the identification of 135 risk genes associated with CRC. Comprehensive Gene Ontology and Kyoto Encyclopedia of Genes and Genomes enrichment analyses revealed that these 135 risk genes are significantly enriched in regulatory pathways crucial for cancer cell growth, metabolic processes and immune response. By combining data from colon adenocarcinoma and rectum adenocarcinoma cohorts within The Cancer Genome Atlas database, we discovered that among the 135 risk genes, <i>ABTB1</i>, <i>CYP21A2</i>, <i>NLRP1</i>, <i>PHKG1</i> and <i>PIP5K1C</i> are strongly associated with the survival outcomes of CRC patients. Notably, the <i>CYP21A2</i> gene exhibited a positive correlation with pathways involved in the proliferation and migration of CRC, underscoring its potential role as a susceptibility gene and a promising target for clinical intervention in CRC. These results provide important insights into the molecular mechanisms of CRC genomics and provide potential targets for treatment.
DOI: 10.15468/dl.d99znd
title: Occurrence Download

description: A dataset containing 20 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((35.05517 -16.41811,35.07157 -16.45637,35.06409 -16.49319,35.05086 -16.53202,35.09544 -16.53979,35.11903 -16.55331,35.12076 -16.56942,35.13399 -16.60422,35.16736 -16.6373,35.17944 -16.61256,35.15786 -16.57488,35.16074 -16.54468,35.15412 -16.52109,35.16966 -16.4627,35.14549 -16.44572,35.09976 -16.42127,35.05517 -16.41811))",
 "IucnRedListCategory is one of (CR, EN, VU)"
 ]
}

 The dataset includes 20 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0071221-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21227/b9g8-wc47
title: AirIoT: IoT-Based Air Pollution Monitoring

description: AirIoT is a temporal dataset of air pollution concentration values measured for almost three years in Hyderabad, India. In AirIoT, a dense network of IoT-based PM monitoring devices equipped with low-cost sensors was deployed. The research focuses on two primary aspects: measurement and modelling. The team developed, calibrated, and deployed 50 IoT-based PM monitoring devices throughout Hyderabad, India, covering urban, semi-urban, and green areas. The team also developed a web-based spatial data dashboard and an Android app to dynamically visualize data from the IoT network, providing actionable insights for citizens and government bodies to effectively control pollution. Spatial interpolation models were designed to extrapolate measurements at both micro and macro levels. The effectiveness of this dense deployment was demonstrated through a case study during the Diwali festival, highlighting the need for localized data in areas with significant air pollution hotspots. Additionally, the project explored the health impacts of air pollution, correlating the data with respiratory, cardiovascular, and psycho-physiological effects. A pilot study leveraging data from AirIoT, health wearables, and a questionnaire was conducted to investigate the long-term health implications for security personnel exposed to air pollution. The team also developed computer vision-based methods to scale air pollution monitoring by analyzing features such as visibility, traffic type, and density, reducing the reliance on frequent sensor usage. These methods, trained on a large dataset using deep learning, predict air quality in real time, providing a viable solution for large-scale implementations. To ensure citizen engagement and capacity building, pilot studies were conducted in schools, involving students in the understanding and mitigation of air pollution. Public display systems showcasing real-time pollution levels fostered excitement and awareness, leading to community advocacy for reforms. Engineering students from various colleges were engaged through hackathons and internship programs to develop low-cost air pollution monitoring devices for local measurements at their institutions and neighbourhoods. The work focuses on air quality monitoring and integrates with broader smart city applications through the Smart City Research Center at IIITH. This collaborative initiative, blending IoT technology with social participation, offers a comprehensive, data-driven approach to tackle the complex challenges of air pollution in India.
DOI: 10.15468/dl.pbaxme
title: Occurrence Download

description: A dataset containing 730958 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Xeno-canto - Bird sounds from around the world"
 ]
}

 The dataset includes 730958 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0071210-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tmwr3w
title: Occurrence Download

description: A dataset containing 39475 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Vascular plant diversity in forests"
 ]
}

 The dataset includes 39475 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0071222-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8je8pv
title: Occurrence Download

description: A dataset listing the 21 species recorded in GBIF matching the query:
{
 "and" : [
 "Continent is one of (Antarctica, Europe, North America)",
 "TaxonKey is Cerastium fontanum Baumg."
 ]
}

 The dataset's 21 records were derived from 1920 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0071218-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.