cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/cc4zpg7
title: CCDC 148659: Experimental Crystal Structure Determination

description: Related Article: T.Peymann, C.B.Knobler, S.I.Khan, M.F.Hawthorne|2001|Angew.Chem.,Int.Ed.|40|1664|doi:10.1002/1521-3773(20010504)40:9<1664::AID-ANIE16640>3.3.CO;2-F
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/cc4zph8
title: CCDC 148660: Experimental Crystal Structure Determination

description: Related Article: T.Peymann, C.B.Knobler, S.I.Khan, M.F.Hawthorne|2001|Angew.Chem.,Int.Ed.|40|1664|doi:10.1002/1521-3773(20010504)40:9<1664::AID-ANIE16640>3.3.CO;2-F
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/cc53n2z
title: CCDC 152460: Experimental Crystal Structure Determination

description: Related Article: A.Sekiguchi, M.Tanaka, T.Matsuo, H.Watanabe|2001|Angew.Chem.,Int.Ed.|40|1675|doi:10.1002/1521-3773(20010504)40:9<1675::AID-ANIE16750>3.0.CO;2-G
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/cc5510c
title: CCDC 153791: Experimental Crystal Structure Determination

description: Related Article: R.W.Saalfrank, I.Bernt, F.Hampel|2001|Angew.Chem.,Int.Ed.|40|1700|doi:10.1002/1521-3773(20010504)40:9<1700::AID-ANIE17000>3.0.CO;2-T
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/cc5511d
title: CCDC 153792: Experimental Crystal Structure Determination

description: Related Article: R.W.Saalfrank, I.Bernt, F.Hampel|2001|Angew.Chem.,Int.Ed.|40|1700|doi:10.1002/1521-3773(20010504)40:9<1700::AID-ANIE17000>3.0.CO;2-T
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/cc5512f
title: CCDC 153793: Experimental Crystal Structure Determination

description: Related Article: R.W.Saalfrank, I.Bernt, F.Hampel|2001|Angew.Chem.,Int.Ed.|40|1700|doi:10.1002/1521-3773(20010504)40:9<1700::AID-ANIE17000>3.0.CO;2-T
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/cc58qmr
title: CCDC 157344: Experimental Crystal Structure Determination

description: Related Article: N.Fujita, K.Biradha, M.Fujita, S.Sakamoto, K.Yamaguchi|2001|Angew.Chem.,Int.Ed.|40|1718|doi:10.1002/1521-3773(20010504)40:9<1718::AID-ANIE17180>3.3.CO;2-Z
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/cc56j40
title: CCDC 155221: Experimental Crystal Structure Determination

description: Related Article: Cheng-Yong Su, Xiao-Ping Yang, Bei-Sheng Kang, T.C.W.Mak|2001|Angew.Chem.,Int.Ed.|40|1725|doi:10.1002/1521-3773(20010504)40:9<1725::AID-ANIE17250>3.3.CO;2-Z
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/cc56rhl
title: CCDC 155449: Experimental Crystal Structure Determination

description: Related Article: V.W.-W.Yam, E.C.-C.Cheng, Nianyong Zhu|2001|Angew.Chem.,Int.Ed.|40|1763|doi:10.1002/1521-3773(20010504)40:9<1763::AID-ANIE17630>3.3.CO;2-F
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5281/zenodo.15475488
title: Python's Evolution on Stack Overflow: An Empirical Analysis of Topic Trends

description: This is the experiment data of the thesis "Python's Evolution on Stack Overflow: An Empirical Analysis of Topic Trends". This dataset is from the open source "Stack Exchange Data Dump", which shares the latest posts information monthly. The data downloaded for this study was published on September 5, 2023.

Raw Data

This is the raw data of "Stack Exchange Data Dump". We just separate them by year. The original data source is from : https://archive.org/details/stackexchange

Training Data

Each set contains two files, Training Set and Rater, Training Set is the content of the training set, i.e., the file in which the model is directly trained, and the Grade column is the result of the machine's prediction.The Rater file contains the data of the manual scoring, and contains the following sections:

1. the rating data for each rater, with the specific column name Rater- rater number (e.g. Rater-1)

2. the machine-predicted rating Predicted-Grade

3. the average of the manual ratings (after removing the highest and lowest)

Predicted Data(xlsx)

Inside is the result of each year after heat calculation, some of the column names are the original column names in the xml file, some of the column names are added for better prediction of the heat value:



BodyLength: The length of post content.

CreateDate: The date calculation is converted to the number of days from column 'CreationDate' to September 30, 2023 (i.e., the last day of the month in which the dataset was published) to avoid the date of some posts being converted to zero.

ActiveDate: The date calculation is converted to the number of days from column 'LastActivityDate' to September 30, 2023 (i.e., the last day of the month in which the dataset was published) to avoid the date of some posts being converted to zero.

Score-1: The result of dividing the total number of 'Score' by the 'CreateDate' (i.e., the value of scores earned per day)

Predicted_Grade: Grades predicted for each post

GradeScore: Each grade's value
DOI: 10.5281/zenodo.15475489
title: Python's Evolution on Stack Overflow: An Empirical Analysis of Topic Trends

description: This is the experiment data of the thesis "Python's Evolution on Stack Overflow: An Empirical Analysis of Topic Trends". This dataset is from the open source "Stack Exchange Data Dump", which shares the latest posts information monthly. The data downloaded for this study was published on September 5, 2023.

Raw Data

This is the raw data of "Stack Exchange Data Dump". We just separate them by year. The original data source is from : https://archive.org/details/stackexchange

Training Data

Each set contains two files, Training Set and Rater, Training Set is the content of the training set, i.e., the file in which the model is directly trained, and the Grade column is the result of the machine's prediction.The Rater file contains the data of the manual scoring, and contains the following sections:

1. the rating data for each rater, with the specific column name Rater- rater number (e.g. Rater-1)

2. the machine-predicted rating Predicted-Grade

3. the average of the manual ratings (after removing the highest and lowest)

Predicted Data(xlsx)

Inside is the result of each year after heat calculation, some of the column names are the original column names in the xml file, some of the column names are added for better prediction of the heat value:



BodyLength: The length of post content.

CreateDate: The date calculation is converted to the number of days from column 'CreationDate' to September 30, 2023 (i.e., the last day of the month in which the dataset was published) to avoid the date of some posts being converted to zero.

ActiveDate: The date calculation is converted to the number of days from column 'LastActivityDate' to September 30, 2023 (i.e., the last day of the month in which the dataset was published) to avoid the date of some posts being converted to zero.

Score-1: The result of dividing the total number of 'Score' by the 'CreateDate' (i.e., the value of scores earned per day)

Predicted_Grade: Grades predicted for each post

GradeScore: Each grade's value
DOI: 10.34740/kaggle/dsv/11886792
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.17632/4r4sp2vzn9.1
title: Effect of Flunitrazepam on Decomposition and Forensically Important Insects Colonization of Pig Carcasses

description: The research investigated the effects of Rohypnol on insect colonization and decomposition patterns in forensic entomology. The hypothesis was that increasing concentrations of Rohypnol would reduce insect abundance and prolong decomposition stages while maintaining consistent insect succession patterns. The study used four domestic pigs (Sus scrofa Linnaeus), with one serving as a control and three receiving different doses of Rohypnol (1 mg/250 ml, 2 mg/250 ml, and 3 mg/250 ml) dissolved in vodka before euthanasia. Carcasses were placed in individual metal cages at the University of Nairobi’s Veterinary Farm, Upper Kabete, and monitored under natural environmental conditions for 60 days.
Data collection focused on insect colonization patterns across five decomposition stages: fresh, bloated, active decay, advanced decay, and dry remains. Insects were sampled daily for the first eight days, twice daily for the next eight days, and once daily until the dry remains stage. Sampling methods included aerial nets, pitfall traps, and forceps from natural body openings and wounds. Maggot samples were preserved in 75% ethanol or reared to adulthood for species identification. Specimens were classified using standard entomological keys, and species abundance was recorded at different time points.
The first dataset includes insect species identification, abundance, and temporal distribution across decomposition stages. Calliphoridae was the most abundant family across all groups, followed by Muscidae and Sarcophagidae. Insect abundance decreased with increasing Rohypnol concentration, but species composition and succession patterns remained consistent. The decomposition process was prolonged in Rohypnol-exposed carcasses, suggesting a potential inhibitory effect of the drug on insect attraction or development.
The second dataset contains meteorological data from the study site, including temperature, humidity, and other environmental variables recorded throughout the study. These data provide context for understanding decomposition rates and insect activity under specific climatic conditions.
This dataset is valuable for forensic entomologists studying drug-induced variations in insect activity and post-mortem interval estimation. Researchers can use it to analyze species-specific decomposition timelines, compare insect succession across environmental conditions, and refine forensic methodologies for estimating time since death in drug-related cases.
DOI: 10.6084/m9.figshare.29637854
title: Data for <i>The linkage of europium anomalies in apatite from highly evolved granites and fractionation of accessory minerals</i> [Dataset]

description: This is data related to <i>The linkage of europium anomalies in apatite from highly evolved granites and fractionation of accessory minerals</i>. It includes supporting information and tables of sample description, analytical data, partition coefficients, and phase equilibrium modelling results.
DOI: 10.6084/m9.figshare.29637854.v1
title: Data for <i>The linkage of europium anomalies in apatite from highly evolved granites and fractionation of accessory minerals</i> [Dataset]

description: This is data related to <i>The linkage of europium anomalies in apatite from highly evolved granites and fractionation of accessory minerals</i>. It includes supporting information and tables of sample description, analytical data, partition coefficients, and phase equilibrium modelling results.
DOI: 10.6084/m9.figshare.29637854.v2
title: Data for <i>The linkage of europium anomalies in apatite from highly evolved granites and fractionation of accessory minerals</i> [Dataset]

description: This is data related to <i>The linkage of europium anomalies in apatite from highly evolved granites and fractionation of accessory minerals</i>. It includes supporting information and tables of sample description, analytical data, partition coefficients, and phase equilibrium modelling results.
DOI: 10.17632/k2rhkg5g3d.1
title: Cryptosporidium parvum virulence mediated by multidrug resistance protein that confers resistance to toxic microbial metabolite deoxycholic acid

description: Cryptosporidium parvum subtypes differ in pathogenicity, but the genetic factors underlying these differences are largely unknown. Here, we show that two C. parvum isolates grow equally well in vitro but differ in pathogenicity in immunocompromised mice. Reduced oocyst shedding of the avirulent strain was restored by antibiotic treatment, suggesting susceptibility to colonization resistance imparted by the microbiota. To investigate the extent of genetic differences of the isolates, we comducted whole genome sequencing (WGS). To map significant associations between parasite genes and enhanced infectivity of the virulent strain, we performed genetic crosses followed by bulk segregant analysis (BSA) under permissive (antibiotic-treated) and restrictive (untreated) conditions. To evaluate the environmental differences between these conditions, we also profiled gut microbiota composition using 16S rRNA sequencing.
DOI: 10.17632/9xnjs398c7
title: Examining Personal Financial Sophistication and Societal Impact

description: This research examines how the financial sophistication of making or receiving digital payment transactions - driven by financial technology (fintech) - relates to societal impact, measured using the United Nations Human Development Index (UN HDI) across 193 countries. HDI reflects societal well-being through health, education, and standard of living. Independent variables include digital payment behaviors, demographics, and workforce participation. In a multiple regression model, making digital payments negatively predicts societal impact, while receiving payments shows a positive association when isolated. Receiving or making payments together is not significant. Male gender correlates with lower societal impact; age and wealth are not significant predictors. Workforce participation is a strong positive factor. The findings extend the literature by showing: (1) digital payment transactions can serve as indicators of financial sophistication, and (2) directional differences in societal impact exist between making and receiving payments, with receiving payments more positively aligned with societal development outcomes.
DOI: 10.17632/9xnjs398c7.1
title: Examining Personal Financial Sophistication and Societal Impact

description: This research examines how the financial sophistication of making or receiving digital payment transactions - driven by financial technology (fintech) - relates to societal impact, measured using the United Nations Human Development Index (UN HDI) across 193 countries. HDI reflects societal well-being through health, education, and standard of living. Independent variables include digital payment behaviors, demographics, and workforce participation. In a multiple regression model, making digital payments negatively predicts societal impact, while receiving payments shows a positive association when isolated. Receiving or making payments together is not significant. Male gender correlates with lower societal impact; age and wealth are not significant predictors. Workforce participation is a strong positive factor. The findings extend the literature by showing: (1) digital payment transactions can serve as indicators of financial sophistication, and (2) directional differences in societal impact exist between making and receiving payments, with receiving payments more positively aligned with societal development outcomes.
DOI: 10.15468/dl.5fmh6u
title: Occurrence Download

description: A dataset containing 28 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ipomoea hederifolia",
 "Country is Papua New Guinea",
 "HasCoordinate is true"
 ]
}

 The dataset includes 28 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0080970-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/65b24jhrxy
title: Research Date

description: yuan meng
DOI: 10.17632/65b24jhrxy.1
title: Research Date

description: yuan meng
DOI: 10.17632/t4kysfg49d
title: Input Data

description: These input data refer to the georeferenced data of analysis criteria selected for a locational study of water pipelines
DOI: 10.15468/dl.crybj5
title: Occurrence Download

description: A dataset containing 106080 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Ara severus)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "License is one of (CC-BY 4.0, CC0 1.0)"
 ]
}

 The dataset includes 106080 records from 79 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0082049-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qm6p5a
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Stumpffia betampona)",
 "Country is one of (Anguilla, Antigua and Barbuda, Argentina, Aruba, Bahamas, Barbados, Belize, Bolivia (Plurinational State of), Bonaire, Sint Eustatius and Saba, Bouvet Island, Brazil, Cayman Islands, Chile, Colombia, Costa Rica, Cuba, Curaçao, Dominica, Dominican Republic, Ecuador, El Salvador, Falkland Islands (Malvinas), French Guiana, Grenada, Guadeloupe, Guatemala, Guyana, Haiti, Honduras, Jamaica, Martinique, Mexico, Montserrat, Nicaragua, Panama, Paraguay, Peru, Puerto Rico, Saint Barthélemy, Saint Kitts and Nevis, Saint Lucia, Saint Martin (French part), Saint Vincent and the Grenadines, Sint Maarten (Dutch part), South Georgia and the South Sandwich Islands, Suriname, Trinidad and Tobago, Turks and Caicos Islands, Uruguay, Venezuela (Bolivarian Republic of), Virgin Islands (British), Virgin Islands (U.S.))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0082079-250717081556266/datasets/export for details.
DOI: 10.15468/dl.9w1cr6
title: Occurrence Download

description: A dataset containing 32 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 32 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002134-190415153152247/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bym6cw
title: Occurrence Download

description: A dataset containing 124206 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-33.14815 -41.21121,-35.2983 -18.99299,-24.54755 15.40941,-45.69069 28.31031,-61.81682 32.61061,-44.25726 59.48749,-52.4995 68.8048,-95.5025 77.40541,-136.71371 78.48048,-164.30731 80.27227,-177.92492 50.88689,-143.88088 44.43644,-125.6046 32.25225,-106.25325 4.65866,-91.91892 -3.22523,-89.41041 -25.08509,-78.3013 -47.3033,-75.79279 -65.57958,-61.1001 -70.23824,-28.84785 -57.6957,-33.14815 -41.21121))",
 "TaxonKey is Ephemeroptera"
 ]
}

 The dataset includes 124206 records from 301 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010361-230918134249559/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nzf0qr
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0074334-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zbhfc3
title: Occurrence Download

description: A dataset containing 32 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 32 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023310-190621201848488/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.r3cyqm
title: Occurrence Download

description: A dataset containing 92 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((111.08272 73.69078,111.8307 71.22869,109.61793 58.94939,125.2008 57.35993,138.50857 62.0348,147.39081 66.17984,152.37732 65.24487,157.23918 66.83432,162.53735 68.17445,164.43846 71.01053,119.24814 75.34257,111.08272 73.69078))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Lemna L."
 ]
}

 The dataset includes 92 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072295-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.