cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.23820834
title: Obesity increases genomic instability at DNA repeat-mediated endogenous mutation hotspots.

description: The attachments present the raw data for this study. 
Mutation Frequency and Mutation Spectra
SSBs, DSBs, end-joining assay and DNA damage repair proteins.
DOI: 10.6084/m9.figshare.23820834.v1
title: Obesity increases genomic instability at DNA repeat-mediated endogenous mutation hotspots.

description: The attachments present the raw data for this study. 
Mutation Frequency and Mutation Spectra
SSBs, DSBs, end-joining assay and DNA damage repair proteins.
DOI: 10.6084/m9.figshare.25487320
title: An in-situ exploration of how Fe/N/C oxygen reduction catalysts evolve during synthesis under pyrolytic conditions

description: Source data in the manuscript (NCOMMS-23-59721C), including Figure 1f, 1g, 1h, Figure 3b, Figure 4a-4f, Figure 5a-5f.
DOI: 10.6084/m9.figshare.25487320.v1
title: An in-situ exploration of how Fe/N/C oxygen reduction catalysts evolve during synthesis under pyrolytic conditions

description: Source data in the manuscript (NCOMMS-23-59721C), including Figure 1f, 1g, 1h, Figure 3b, Figure 4a-4f, Figure 5a-5f.
DOI: 10.6084/m9.figshare.26086618
title: Deep Ocean warming-induced El Niño changes

description: Final data to make our Figures
DOI: 10.6084/m9.figshare.26086618.v1
title: Deep Ocean warming-induced El Niño changes

description: Final data to make our Figures
DOI: 10.15468/dl.3md9kb
title: Occurrence Download

description: A dataset containing 51 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Specimen, Human Observation, Fossil)",
 "Continent is Asia",
 "Country is Philippines",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Malleidae"
 ]
}

 The dataset includes 51 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034536-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/ds/4558462
title: Disaster_Classification_Dataset
DOI: 10.15468/dl.fekuf6
title: Occurrence Download

description: A dataset containing 66 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Specimen, Human Observation, Fossil)",
 "Continent is Asia",
 "Country is Philippines",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Placunidae"
 ]
}

 The dataset includes 66 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034537-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.z7y7vb
title: Occurrence Download

description: A dataset containing 460 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Specimen, Human Observation, Fossil)",
 "Continent is Asia",
 "Country is Philippines",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Spondylidae"
 ]
}

 The dataset includes 460 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034538-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.24533770.v1
title: JSP_Dataset (Underlying Data).xlsx

description: Smart tourism destinations face challenges in efficiently scheduling services to meet the diverse needs of tourists while ensuring sustainability and resource optimization. This study explored the use of genetic algorithms (GAs) to optimize service scheduling and improve efficiency and customer satisfaction compared to traditional methods. Thematic analysis of collected data showed that GAs offer superior efficiency, increased customer satisfaction, and potential for enhanced tourist experiences and resource optimization. GAs could also adapt to changing circumstances and reoptimize schedules in real time. Further research and development in the use of GAs for service scheduling in tourism is recommended, including exploration of different types of tourism services and incorporation of real-time data for a competitive advantage and substantial value to the industry.
DOI: 10.15468/dl.2wrx4m
title: Occurrence Download

description: A dataset containing 89 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Specimen, Human Observation, Fossil)",
 "Continent is Asia",
 "Country is Philippines",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Pteriidae"
 ]
}

 The dataset includes 89 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034540-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.12801338
title: Unmixing Autoencoder for Image Reconstruction from Hyperspectral Data

description: The NIR handwriting imaging data and the noise simulated data of five hydroxyl compounds: methanol, ethanol, 2-phenylethanol, 1-propanol, and 2-chloroethanol.
DOI: 10.5281/zenodo.12801337
title: Unmixing Autoencoder for Image Reconstruction from Hyperspectral Data

description: The NIR handwriting imaging data and the noise simulated data of five hydroxyl compounds: methanol, ethanol, 2-phenylethanol, 1-propanol, and 2-chloroethanol.
DOI: 10.6084/m9.figshare.26362318
title: Supplementary Material for: Probabilistic Mathematical Model for Dietary Consumption and Exposure Assessment in the Absence of Data from National Nutrition Surveys: A Case Study on Saudi Arabia

description: Introduction: Noncommunicable diseases, which account for 71% of annual global deaths, necessitate the implementation of targeted legislative measures to reduce exposure to risk factors, particularly those related to nutrition. Accurately assessing these risk factors is challenging owing to infrequent national surveys, high costs, and uncertainties from human behavior. Thus, addressing these issues is crucial. This study aimed to develop a model for estimating dietary exposure. 
Methods: Our study utilizes the National Nutrient Consumption (NNC) model, which employs a probabilistic and cost-effective approach. This model leverages open data and focuses on supply chain dynamics and uncertainties, integrating import, production, and stock levels. It estimates commodity supply, consumption, and nutrient intake using predictive coefficients from historical data. Model accuracy was assessed using mean absolute error, correlation coefficient, and one-sample t-test. The findings were evaluated against the recommended intake outlined in the Technical Regulation of Food Labeling (SFDA.FD 2233).
Results: The model demonstrated high accuracy in estimating dietary intake, with minimal error margins. For both genders, the 50th percentile nutrient exposure exceeded the reference values—with males consuming 3310 kcal (+65%), 144 g of total fat (+105%), 33.8 g of saturated fat (+69%) , 86 g of free sugar (+72%) , and 2545 mg of sodium daily (+0.06%) ; females consumed 3306 kcal (+65%) , 143 g of total fat (+104%), 33.5 g of saturated fat (+67%), 86 g of free sugar(72%), and 2500 mg of sodium (+4%).
Conclusion: The model, both cost-effective and accurate, identifies elevated nutritional risk factors in Saudi Arabia, informing targeted health policies.
DOI: 10.6084/m9.figshare.26362318.v1
title: Supplementary Material for: Probabilistic Mathematical Model for Dietary Consumption and Exposure Assessment in the Absence of Data from National Nutrition Surveys: A Case Study on Saudi Arabia

description: Introduction: Noncommunicable diseases, which account for 71% of annual global deaths, necessitate the implementation of targeted legislative measures to reduce exposure to risk factors, particularly those related to nutrition. Accurately assessing these risk factors is challenging owing to infrequent national surveys, high costs, and uncertainties from human behavior. Thus, addressing these issues is crucial. This study aimed to develop a model for estimating dietary exposure. 
Methods: Our study utilizes the National Nutrient Consumption (NNC) model, which employs a probabilistic and cost-effective approach. This model leverages open data and focuses on supply chain dynamics and uncertainties, integrating import, production, and stock levels. It estimates commodity supply, consumption, and nutrient intake using predictive coefficients from historical data. Model accuracy was assessed using mean absolute error, correlation coefficient, and one-sample t-test. The findings were evaluated against the recommended intake outlined in the Technical Regulation of Food Labeling (SFDA.FD 2233).
Results: The model demonstrated high accuracy in estimating dietary intake, with minimal error margins. For both genders, the 50th percentile nutrient exposure exceeded the reference values—with males consuming 3310 kcal (+65%), 144 g of total fat (+105%), 33.8 g of saturated fat (+69%) , 86 g of free sugar (+72%) , and 2545 mg of sodium daily (+0.06%) ; females consumed 3306 kcal (+65%) , 143 g of total fat (+104%), 33.5 g of saturated fat (+67%), 86 g of free sugar(72%), and 2500 mg of sodium (+4%).
Conclusion: The model, both cost-effective and accurate, identifies elevated nutritional risk factors in Saudi Arabia, informing targeted health policies.
DOI: 10.15468/dl.62fy3m
title: Occurrence Download

description: A dataset containing 157 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Occurrence evidence",
 "TaxonKey is Cleome gynandra L."
 ]
}

 The dataset includes 157 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034544-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9x3bz2
title: Occurrence Download

description: A dataset containing 72723 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((18.18885 -31.69085,18.18465 -31.80442,18.27298 -31.93482,18.28981 -32.13673,18.5485 -32.09046,18.71676 -31.97058,18.64946 -31.90748,18.63053 -31.84018,18.53168 -31.67613,18.39707 -31.60252,18.28139 -31.62565,18.18885 -31.69085))",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 72723 records from 138 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034543-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.26362300
title: CARROT processed dataset

description: Processed datasets used in CARROT: Simultaneous Prediction of Anomalies from Groups of Correlated Cryptocurrency Trends for the experiments.
DOI: 10.17909/k15n-zp34
title: Data from paper (MW DHI)
DOI: 10.5517/ccdc.csd.cc2jh7v4
title: CCDC 2338356: Experimental Crystal Structure Determination

description: Related Article: Indrani Roy, Paula Brandão, Avishek Majumder, Manindranath Bera, Abhijit Banerjee, Sandip Saha|2024|J.Mol.Struct.|1317|139085|doi:10.1016/j.molstruc.2024.139085
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.cc2jh84g
title: CCDC 2338365: Experimental Crystal Structure Determination

description: Related Article: Xue Yang, Yixia Ren, Wanting Liu, Zhixiang Wang, Meili Zhang, Jijiang Wang|2024|J.Mol.Struct.|1317|139162|doi:10.1016/j.molstruc.2024.139162
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.cc2jh85h
title: CCDC 2338366: Experimental Crystal Structure Determination

description: Related Article: Xue Yang, Yixia Ren, Wanting Liu, Zhixiang Wang, Meili Zhang, Jijiang Wang|2024|J.Mol.Struct.|1317|139162|doi:10.1016/j.molstruc.2024.139162
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.cc2jh86j
title: CCDC 2338367: Experimental Crystal Structure Determination

description: Related Article: Xue Yang, Yixia Ren, Wanting Liu, Zhixiang Wang, Meili Zhang, Jijiang Wang|2024|J.Mol.Struct.|1317|139162|doi:10.1016/j.molstruc.2024.139162
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.cc2jhtsn
title: CCDC 2338912: Experimental Crystal Structure Determination

description: Related Article: Alexander N. Selikhov, Mikhail A. Bogachev, Yulia V. Nelyubina, Grigory Yu. Zhigulin, Sergey Yu. Ketkov, Alexander A. Trifonov|2024|Inorg.Chem.Front.|11|4336|doi:10.1039/D4QI01028K
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.cc2jhttp
title: CCDC 2338913: Experimental Crystal Structure Determination

description: Related Article: Alexander N. Selikhov, Mikhail A. Bogachev, Yulia V. Nelyubina, Grigory Yu. Zhigulin, Sergey Yu. Ketkov, Alexander A. Trifonov|2024|Inorg.Chem.Front.|11|4336|doi:10.1039/D4QI01028K
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.cc2jhtvq
title: CCDC 2338914: Experimental Crystal Structure Determination

description: Related Article: Alexander N. Selikhov, Mikhail A. Bogachev, Yulia V. Nelyubina, Grigory Yu. Zhigulin, Sergey Yu. Ketkov, Alexander A. Trifonov|2024|Inorg.Chem.Front.|11|4336|doi:10.1039/D4QI01028K
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.cc2jhtwr
title: CCDC 2338915: Experimental Crystal Structure Determination

description: Related Article: Alexander N. Selikhov, Mikhail A. Bogachev, Yulia V. Nelyubina, Grigory Yu. Zhigulin, Sergey Yu. Ketkov, Alexander A. Trifonov|2024|Inorg.Chem.Front.|11|4336|doi:10.1039/D4QI01028K
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.cc2jhtxs
title: CCDC 2338916: Experimental Crystal Structure Determination

description: Related Article: Alexander N. Selikhov, Mikhail A. Bogachev, Yulia V. Nelyubina, Grigory Yu. Zhigulin, Sergey Yu. Ketkov, Alexander A. Trifonov|2024|Inorg.Chem.Front.|11|4336|doi:10.1039/D4QI01028K
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.cc2jhtyt
title: CCDC 2338917: Experimental Crystal Structure Determination

description: Related Article: Alexander N. Selikhov, Mikhail A. Bogachev, Yulia V. Nelyubina, Grigory Yu. Zhigulin, Sergey Yu. Ketkov, Alexander A. Trifonov|2024|Inorg.Chem.Front.|11|4336|doi:10.1039/D4QI01028K
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.cc2jhtzv
title: CCDC 2338918: Experimental Crystal Structure Determination

description: Related Article: Alexander N. Selikhov, Mikhail A. Bogachev, Yulia V. Nelyubina, Grigory Yu. Zhigulin, Sergey Yu. Ketkov, Alexander A. Trifonov|2024|Inorg.Chem.Front.|11|4336|doi:10.1039/D4QI01028K
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.cc2gthyr
title: CCDC 2288635: Experimental Crystal Structure Determination

description: Related Article: Siya T. Hulushe, Gareth M. Watkins, Setshaba D. Khanye|2024|Dalton Trans.|53|11326|doi:10.1039/D4DT00739E
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.cc2gthxq
title: CCDC 2288634: Experimental Crystal Structure Determination

description: Related Article: Siya T. Hulushe, Gareth M. Watkins, Setshaba D. Khanye|2024|Dalton Trans.|53|11326|doi:10.1039/D4DT00739E
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.cc2gthzs
title: CCDC 2288636: Experimental Crystal Structure Determination

description: Related Article: Siya T. Hulushe, Gareth M. Watkins, Setshaba D. Khanye|2024|Dalton Trans.|53|11326|doi:10.1039/D4DT00739E
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.jzz2qy
title: Occurrence Download

description: A dataset containing 43778904 species occurrences available in GBIF matching the query:
(Query is too complex. Can be viewed on the landing page)

 The dataset includes 43778904 records from 4117 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034541-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.26ctnp
title: Occurrence Download

description: A dataset containing 126 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Aechmophorus occidentalis (Lawrence, 1858)",
 "Year 2022-2022"
 ]
}

 The dataset includes 126 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0171242-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.32z7nu
title: Occurrence Download

description: A dataset containing 287 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Millettia stuhlmannii Taub."
 ]
}

 The dataset includes 287 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0327993-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3sp3wb
title: Occurrence Download

description: A dataset containing 934 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ficus elastica Roxb. ex Hornem.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 934 records from 74 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002320-230918134249559/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5d45uu
title: Occurrence Download

description: A dataset containing 614 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Monascus Tiegh., 1884"
 ]
}

 The dataset includes 614 records from 44 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0166261-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zztxc5
title: Occurrence Download

description: A dataset containing 18492 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Chrysococcyx cupreus (Shaw, 1792)"
 ]
}

 The dataset includes 18492 records from 91 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0375448-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/cw7-mdv-b1t
title: Juncus filiformis L.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/cw7-pyt-yac
title: Luzula campestris (L.) DC.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/cw7-ws3-1ra
title: Gagea minima (L.) Ker Gawl.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/cw7-zgv-fwt
title: Chenopodium suecicum Murr

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/cw8-6yh-dv5
title: Silene latifolia subsp. alba (Mill.) Greuter & Burdet

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.