cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.27238629.v2
title: code for paper "Temperature thresholds of extreme heat-induced yield loss in maize and soybean reveal geographic heterogeneity across the Northern Hemisphere"

description: code for paper "Temperature thresholds of extreme heat-induced yield loss in maize and soybean reveal geographic heterogeneity across the Northern Hemisphere" by Zhao Q. et al.
DOI: 10.15468/dl.txpbu6
title: Occurrence Download

description: A dataset containing 18 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Diplotaenia cachrydifolia",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 18 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008027-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18311878
title: Quantifying domain-specific relevance of computational biology Wikipedia articles using TF-IDF and cosine similarity

description: Wikipedia is one of the world’s most visited websites and serves as the principal open educational resource for computational biology. However, identifying which articles are most relevant to distinct sub‑disciplines of computational biology remains largely subjective.

This study collected short descriptions for 22 Communities of Special Interest (COSI) groups maintained by the International Society for Computational Biology and downloaded 1,536 computational biology articles from English Wikipedia. Following standard text preprocessing, COSI descriptions and Wikipedia articles were embedded in a common TF-IDF vector space. Semantic relatedness was quantified using cosine similarity, yielding a real-valued relevance matrix that maps each COSI to the most pertinent computational biology articles. The resulting scores, typically low in absolute value, captured nuanced differences: general-interest pages such as “Computational biology” and “Bioinformatics” ranked highest, whereas niche pages showed high relevance only for specific COSIs. Unsupervised analysis using principal component analysis, k‑nearest neighbours, and Leiden community detection revealed clusters of articles corresponding to the particular COSIs and highlighted inter‑COSI relationships. This automated pipeline reduces bias compared with manual tagging and enables more precise curation of domain‑specific educational resources.
DOI: 10.5281/zenodo.18311877
title: Quantifying domain-specific relevance of computational biology Wikipedia articles using TF-IDF and cosine similarity

description: Wikipedia is one of the world’s most visited websites and serves as the principal open educational resource for computational biology. However, identifying which articles are most relevant to distinct sub‑disciplines of computational biology remains largely subjective.

This study collected short descriptions for 22 Communities of Special Interest (COSI) groups maintained by the International Society for Computational Biology and downloaded 1,536 computational biology articles from English Wikipedia. Following standard text preprocessing, COSI descriptions and Wikipedia articles were embedded in a common TF-IDF vector space. Semantic relatedness was quantified using cosine similarity, yielding a real-valued relevance matrix that maps each COSI to the most pertinent computational biology articles. The resulting scores, typically low in absolute value, captured nuanced differences: general-interest pages such as “Computational biology” and “Bioinformatics” ranked highest, whereas niche pages showed high relevance only for specific COSIs. Unsupervised analysis using principal component analysis, k‑nearest neighbours, and Leiden community detection revealed clusters of articles corresponding to the particular COSIs and highlighted inter‑COSI relationships. This automated pipeline reduces bias compared with manual tagging and enables more precise curation of domain‑specific educational resources.
DOI: 10.15468/dl.q8rnec
title: Occurrence Download

description: A dataset containing 72 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Africa",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Macrochloa tenacissima",
 "Year 1980-2026"
 ]
}

 The dataset includes 72 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008028-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18354909
title: FoodXcess Food Collection Log (Responses)

description: This dataset contains quantitative data collected as part of the FoodXcess initiative at Universiti Kebangsaan Malaysia (UKM), a student-led surplus food redistribution programme. The dataset includes monthly and aggregated records of surplus edible food redistributed (kg) across selected residential college cafeterias and derived estimates of avoided carbon dioxide (CO₂) emissions calculated using published emission conversion factors.

Data were collected during a pilot, real-world intervention and are intended to support transparency, reproducibility, and future comparative research on campus food waste reduction initiatives. All data are aggregated to protect participant anonymity.
DOI: 10.5281/zenodo.18354908
title: FoodXcess Food Collection Log (Responses)

description: This dataset contains quantitative data collected as part of the FoodXcess initiative at Universiti Kebangsaan Malaysia (UKM), a student-led surplus food redistribution programme. The dataset includes monthly and aggregated records of surplus edible food redistributed (kg) across selected residential college cafeterias and derived estimates of avoided carbon dioxide (CO₂) emissions calculated using published emission conversion factors.

Data were collected during a pilot, real-world intervention and are intended to support transparency, reproducibility, and future comparative research on campus food waste reduction initiatives. All data are aggregated to protect participant anonymity.
DOI: 10.34740/kaggle/dsv/14596810
title: Borekat
DOI: 10.15468/dl.vqzy26
title: Occurrence Download

description: A dataset containing 275 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Donnellsmithia juncea",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 275 records from 46 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008029-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7924/r4xs60d1h
title: Data from: Volatile per- and polyfluoroalkyl substances (PFAS) and other semi-volatile organic chemicals in indoor air of fire stations: The influence of gear storage conditions

description: Levels of PFAS, BFRs and SVOCs measured in indoor air of North Carolina fire stations.
DOI: 10.5281/zenodo.18354958
title: Dataset_Microalgae ecotoxicological testing of quinolones and their consequences on higher biological organizational levels
DOI: 10.5281/zenodo.18354957
title: Dataset_Microalgae ecotoxicological testing of quinolones and their consequences on higher biological organizational levels
DOI: 10.7910/dvn/z2uubb
title: Replication Data for: Legislative Effectiveness and Informal Institutions: Evidence from Latin America

description: Why are some legislators more effective than others in fragmented presidential systems? I argue that in Brazil’s fractionalized party system, legislative member organizations (LMOs) supply policy and political information that parties often lack, enabling lawmakers to advance bills. I test this claim using novel legislative effectiveness scores (LESs) for sponsors and rapporteurs in Brazil’s lower chamber. Quantitative results show that LMO affiliation is associated with higher effectiveness, but only in highly structured organizations. Public security LMOs boost both sponsorship and rapporteurship, while agribusiness LMOs increase rapporteurship effectiveness. Weakly organized LMOs show null effects. Party affiliation matters,
but parties do not consistently provide information and coordination. Qualitative data identify two mechanisms by which strong LMOs operate: placing aligned members in key positions and leveraging expertise to shape agendas and voting cues. These findings recast effectiveness in Brazil as a function of crossparty informational networks rather than parties alone and identify scope conditions under which LMOs
matter in other multiparty presidential democracies.
DOI: 10.25983/cbi/3014218
title: Soil nutrients affect biomass allocation at the individual tree level in Populus_deltoides

description: The allocation of carbon (C) to tree roots has implication for forest productivity and soil C storage. Here, we elucidated the factors affecting absolute and relative production of resource-acquiring absorptive fine roots (AFR) and other tree organs. We assessed soil properties, leaf (Leaves), stem and branch (Stem-Br), coarse root (CR), transport fine root (TFR), and AFR biomass, production, and allocation and leaf litterfall and AFR and TFR turnover for 12 trees in a youngPopulus deltoides plantation. On a biomass basis, standing crop of AFRs was significantly related to that of TFRs, but both were independent of biomass of leaves, CRs and Stem-Brs. Production (standing crop + turnover) as a proportion of total biomass (allocation) highlighted significant relationships between AFR%, TFR%, and tree and soil characteristics. AFR% and TFR% were negatively correlated with Stem-Br%, Leaf%, and total tree production. Spatial variation in soil nutrient gradients altered allocation withinP. deltoides.AFR% and TFR% were negatively correlated with CEC, N, and Ca but positively correlated with soil P, Fe, and Na. Stem-Br% was positively correlated with CEC and soil N but negatively correlated with P. AFR and TFR growth and death are tightly coupled at the individual tree level. AFR allocation, but not standing biomass, is highly correlated with allocation to leaves, suggesting tight regulation of the growth of these two resource-acquiring organs. Lower soil N and Ca increased allocation to AFRs at the cost of leaves, whereas allocation to AFRs and leaves increased with soil P. Such changes in response to soil P may control whole-tree production in the current study.
DOI: 10.15468/dl.5rhzbp
title: Occurrence Download

description: A dataset containing 20 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Drusa glandulosa",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 20 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008030-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/oqpsti
title: Fear conditioning in successful and unsuccessful criminals

description: Fear conditioning in successful and unsuccessful criminals
DOI: 10.5517/ccdc.csd.cc26mz1w
title: CCDC 2044978: Experimental Crystal Structure Determination

description: Related Article: Surojit Bhunia, Shubham Chandel, Sumanta Kumar Karan, Somnath Dey, Akash Tiwari, Susobhan Das, Nishkarsh Kumar, Rituparno Chowdhury, Saikat Mondal, Ishita Ghosh, Amit Mondal, Bhanu Bhusan Khatua, Nirmalya Ghosh, C. Malla Reddy|2021|Science|373|321|doi:10.1126/science.abg3886
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.cc272zz9
title: CCDC 2058461: Experimental Crystal Structure Determination

description: Related Article: Daniel Ejarque, Teresa Calvet, Mercè Font-Bardia, Josefina Pons|2021|Crystals|11|191|doi:10.3390/cryst11020191
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.cc289p7j
title: CCDC 2094677: Experimental Crystal Structure Determination

description: Related Article: Thomas M. Klapötke, Jasmin T. Lechner, Jörg Stierstorfer|2022|Propellants,Explos.,Pyrotech.|47|e202100205|doi:10.1002/prep.202100205
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.cc2j0ydx
title: CCDC 2324609: Experimental Crystal Structure Determination

description: Related Article: Wen-Xuan Wang, Li-Wen Bai, Yongliang Shao, Xiao-Yang Han, Juan He, Jing Li, Xinxiang Lei|2025|Cryst.Growth Des.|||doi:10.1021/acs.cgd.5c01317
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.cc2nxvbs
title: CCDC 2470586: Experimental Crystal Structure Determination

description: Related Article: Anastasia A. Levina, Maxim A. Shmelev, Andrey V. Lalov, Aleksandr S. Chistyakov, Julia K. Voronina, Evgeniya A. Varaksina, Ilya V. Taydakov, Alexey A. Sidorov, Igor L. Eremenko|2025|Dalton Trans.|55|1417|doi:10.1039/d5dt02665b
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.cc2pd71d
title: CCDC 2484403: Experimental Crystal Structure Determination

description: Related Article: Anastasia A. Levina, Maxim A. Shmelev, Andrey V. Lalov, Aleksandr S. Chistyakov, Julia K. Voronina, Evgeniya A. Varaksina, Ilya V. Taydakov, Alexey A. Sidorov, Igor L. Eremenko|2025|Dalton Trans.|55|1417|doi:10.1039/d5dt02665b
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.cc2pnbk8
title: CCDC 2492200: Experimental Crystal Structure Determination

description: Related Article: Xiao-Ye Yang, Hua Huang, Qiong Wu, Yun-Xuan Tan, Ping Tian|2025|Org.Biomol.Chem.|23|10057|doi:10.1039/d5ob01566a
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.cc2pnjlh
title: CCDC 2492387: Experimental Crystal Structure Determination

description: Related Article: Thiemo Arndt, Monique Partzsch, Tobias Rüffer, Martin Breugst|2025|Org.Biomol.Chem.|23|10574|doi:10.1039/d5ob01575h
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.cc2pqdtn
title: CCDC 2494192: Experimental Crystal Structure Determination

description: Related Article: Wanpeng Li, Ying Gao, Hanli Ruan|2025|Org.Biomol.Chem.|23|10771|doi:10.1039/D5OB01602A
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.cc2pqdvp
title: CCDC 2494193: Experimental Crystal Structure Determination

description: Related Article: Wanpeng Li, Ying Gao, Hanli Ruan|2025|Org.Biomol.Chem.|23|10771|doi:10.1039/D5OB01602A
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.cc2prr9j
title: CCDC 2495478: Experimental Crystal Structure Determination

description: Related Article: Xiao-Ye Yang, Hua Huang, Qiong Wu, Yun-Xuan Tan, Ping Tian|2025|Org.Biomol.Chem.|23|10057|doi:10.1039/d5ob01566a
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.cc2pybgg
title: CCDC 2500846: Experimental Crystal Structure Determination

description: Related Article: Wenzhi Li, Xin Mao, Hong Yin, Yuxi Wang, Yifan Wang, Junsheng Chen, Keli Han, Ruiling Zhang|2025|Adv.Funct.Mater.|35|2413049|doi:10.1002/adfm.202413049
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.cc2pz8dc
title: CCDC 2501743: Experimental Crystal Structure Determination

description: Related Article: Constantin G. Daniliuc, Ke-Yin Ye, Gerhard Erker|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: 10.15468/dl.crvkbr
title: Occurrence Download

description: A dataset containing 2955 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is NSW DPI Biosecurity Collections",
 "Geometry POLYGON((133.89999 -37.10802,142.45867 -37.10802,142.45867 -30.99838,133.89999 -30.99838,133.89999 -37.10802))",
 "HasGeospatialIssue is false",
 "TaxonKey is Fungi"
 ]
}

 The dataset includes 2955 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016158-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tj5qjq
title: Occurrence Download

description: A dataset containing 226 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Costa Rica",
 "DatasetKey is Malacology Collection at the Academy of Natural Sciences of Philadelphia",
 "OccurrenceStatus is Present",
 "TaxonKey is Stylommatophora"
 ]
}

 The dataset includes 226 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016159-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.1594/pangaea.934802
title: QUaternary fault strain INdicators database: QUIN 1.0 - first release from the Apennines of central Italy

description: This database relates to the paper “QUaternary fault strain INdicators database - QUIN 1.0 - first release from the Apennines of central Italy”.It provides very local-scale geometric and kinematic data on Fault Striation Pairs (FSP, the fault plane and the slickenline measured on it) surveyed along the Quaternary (last 2.5 My) extensional intra-Apennine belt of central Italy. The sampled area develops for an along-strike extent of ~550 km and in an average NW-SE direction.The first release of the “QUaternary fault strain INdicator” database (acronym QUIN) consists of a comprehensive compilation of both unpublished (1315) and published (2026) FSPs, for a total of 3339 records. Overall, considering the ~60,100 numerical data released in this database, the 79.8% are unpublished while the 20.2% are from the previous literature. The FSP data are distributed within ~455 Survey Sites (SS) geolocated along the trace of well-distinct hosting faults. The database is released in a .txt table and as shapefile (.shp) in WGS84 coordinate system. The FSP records are organized in 34 fields, referring to three themes:A) FSP identification and SS location (fields 1 to 12);B) FSP geometry with quality ranking and references (fields 13 to 22);C) FSP deformation axes (fields 23 to 34).The first two domains include for each FSP the geographic and structural position, the SS name, the hosting fault-system name and average dip-direction, the geometric parameters (strike, dip-direction and dip, and trend and plunge), the newly calculated rake and corresponding kinematic classifications, the references of the field data and two quality rankings on the input data resolutions and location.The third domain, entirely new from this work, includes for each FSP, the attitude ( trend and plunge) of the kinematic axes (P, B, T) measured at 45° and 30° from striation in the extensional movement plane (see the main paper for more details).This database represents the most complete local-scale collection of Quaternary geological fault/slip data and derived kinematic and strain parameters over a large regional seismogenic and potentially seismogenic territory.The QUIN database is meant as a relatively aseptic data input for forecoming stress inversion and geodynamic modelling, fundamental for new generations of seismotectonics and seismic hazard assessment research.