cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.byvhe5
title: Occurrence Download

description: A dataset containing 15 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Ribes albifolium Ruiz & Pav., Ribes brachybotrys (Wedd.) Jancz., Ribes canescens Pittier, Ribes cuneifolium Ruiz & Pav., Ribes ecuadorense Jancz., Ribes malvifolium Pojark., Ribes melananthum Boiss. & Hohen., Ribes viscosum Ruiz & Pav.)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen, Specimen, Material citation, Material sample)"
 ]
 }
 }
 ]
}

 The dataset includes 15 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002145-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.14469/hpc/4931
title: FAIR Data table. Epoxidation of alkenes by peracids: A refined view of textbook mechanisms based on a quantum mechanically derived curly-arrow depiction

description: FAIR data table
DOI: 10.15468/dl.g97ye7
title: Occurrence Download

description: A dataset containing 2381 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Torreya californica Torr., Torreya fargesii Franch., Torreya grandis Fortune ex Lindl., Torreya jackii Chun, Torreya nucifera (L.) Siebold & Zucc., Torreya taxifolia Arn.)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen, Specimen, Material citation, Material sample)"
 ]
 }
 }
 ]
}

 The dataset includes 2381 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002146-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13988704
title: Supplementary Files: Chapitre 4
DOI: 10.5281/zenodo.13988705
title: Supplementary Files: Chapitre 4
DOI: 10.48597/ns7h-g4qt
title: Sulphur_dioxide at Nausta

description: Measurement of Sulphur_dioxide at Nausta
DOI: 10.48597/w5vy-x4qm
title: Inorganics in air and particle phase at Nausta

description: Measurement of Inorganics in air and particle phase at Nausta
DOI: 10.48597/93f7-3ge2
title: Sum_ammonia_and_ammonium at Nausta

description: Measurement of Sum_ammonia_and_ammonium at Nausta
DOI: 10.48597/n7t6-fz6r
title: Measurement of Inorganics in air and particle phase at Nausta

description: Measurement of Inorganics in air and particle phase at Nausta
DOI: 10.48597/rzxu-p2h4
title: Measurement of Sulphur_dioxide at Nausta

description: Measurement of Sulphur_dioxide at Nausta
DOI: 10.48597/rnx5-bbfc
title: Measurement of Sum_ammonia_and_ammonium at Nausta

description: Measurement of Sum_ammonia_and_ammonium at Nausta
DOI: 10.48597/a29c-9565
title: Measurement of Inorganics in air and particle phase at Nausta

description: Measurement of Inorganics in air and particle phase at Nausta
DOI: 10.5281/zenodo.13991024
title: CATCO2NVERS Market Assessment Questionnaire Results

description: This dataset contains the results of a market assessment questionnaire conducted as part of the CATCO2NVERS project, focused on exploring the potential markets, competitors, customer segments, and state-of-the-art trends for the Key Exploitable Results (KERs) of the project. The survey was completed by various project partners and provides valuable insights into geographical markets, customer segments, and industry trends relevant to the commercialization of the KERs. The data also includes information on potential competitors and the current landscape of the targeted sectors.
description: Data Collection Method:The data was collected through an online questionnaire distributed among project partners of CATCO2NVERS. The survey includes both multiple-choice and open-ended responses.
description: Dataset Structure:



Respondent Information: ID, company/organization details (anonymized for privacy), and other relevant identifiers.

Geographical Markets: Preferred markets for future business expansion.

Customer Segments: Targeted customer segments, including industry type and demographic information.

Trends: Current trends and state-of-the-art knowledge related to the KER.

Competitors: Identification of potential competitors and their industries.


Data Format:The dataset is available in Excel format (.xlsx), containing 26 columns with a mix of quantitative and qualitative data.
description: Related Project:This dataset was developed as part of the CATCO2NVERS project, aimed at creating added-value chemicals from bio-industrial CO2 emissions using integrated catalytic technologies. Further information about the project can be found at https://catco2nvers.eu/.
DOI: 10.5281/zenodo.13991025
title: CATCO2NVERS Market Assessment Questionnaire Results

description: This dataset contains the results of a market assessment questionnaire conducted as part of the CATCO2NVERS project, focused on exploring the potential markets, competitors, customer segments, and state-of-the-art trends for the Key Exploitable Results (KERs) of the project. The survey was completed by various project partners and provides valuable insights into geographical markets, customer segments, and industry trends relevant to the commercialization of the KERs. The data also includes information on potential competitors and the current landscape of the targeted sectors.
description: Data Collection Method:The data was collected through an online questionnaire distributed among project partners of CATCO2NVERS. The survey includes both multiple-choice and open-ended responses.
description: Dataset Structure:



Respondent Information: ID, company/organization details (anonymized for privacy), and other relevant identifiers.

Geographical Markets: Preferred markets for future business expansion.

Customer Segments: Targeted customer segments, including industry type and demographic information.

Trends: Current trends and state-of-the-art knowledge related to the KER.

Competitors: Identification of potential competitors and their industries.


Data Format:The dataset is available in Excel format (.xlsx), containing 26 columns with a mix of quantitative and qualitative data.
description: Related Project:This dataset was developed as part of the CATCO2NVERS project, aimed at creating added-value chemicals from bio-industrial CO2 emissions using integrated catalytic technologies. Further information about the project can be found at https://catco2nvers.eu/.
DOI: 10.48597/enn4-t2jc
title: Measurement of Inorganics in air and particle phase at Nausta

description: Measurement of Inorganics in air and particle phase at Nausta
DOI: 10.48597/hfk7-bp44
title: Measurement of Inorganics in air and particle phase at Nausta

description: Measurement of Inorganics in air and particle phase at Nausta
DOI: 10.48597/kkj2-rcyc
title: Measurement of Inorganics in air and particle phase at Nausta

description: Measurement of Inorganics in air and particle phase at Nausta
DOI: 10.48597/kyvm-ty7q
title: Measurement of Inorganics in air and particle phase at Nausta

description: Measurement of Inorganics in air and particle phase at Nausta
DOI: 10.48597/nyze-jsnx
title: Measurement of Inorganics in air and particle phase at Nausta

description: Measurement of Inorganics in air and particle phase at Nausta
DOI: 10.48597/z9at-s99w
title: Inorganics in air and particle phase at Nausta

description: Measurement of Inorganics in air and particle phase at Nausta
DOI: 10.48597/vn6z-b299
title: Measurement of Inorganics in air and particle phase at Nausta

description: Measurement of Inorganics in air and particle phase at Nausta
DOI: 10.48597/y89b-5rqj
title: Inorganics in air and particle phase at Nausta

description: Measurement of Inorganics in air and particle phase at Nausta
DOI: 10.48597/4hck-mbnk
title: Measurement of Inorganics in air and particle phase at Nausta

description: Measurement of Inorganics in air and particle phase at Nausta
DOI: 10.48597/z6xf-ccqh
title: Measurement of Inorganics in air and particle phase at Nausta

description: Measurement of Inorganics in air and particle phase at Nausta
DOI: 10.48597/7cn9-87ps
title: Measurement of Inorganics in air and particle phase at Nausta

description: Measurement of Inorganics in air and particle phase at Nausta
DOI: 10.48597/g6b9-x6nr
title: Measurement of Inorganics in air and particle phase at Nausta

description: Measurement of Inorganics in air and particle phase at Nausta
DOI: 10.48597/hbd6-ry3p
title: Measurement of Inorganics in air and particle phase at Nausta

description: Measurement of Inorganics in air and particle phase at Nausta
DOI: 10.48597/kj88-uzqa
title: Measurement of Inorganics in air and particle phase at Nausta

description: Measurement of Inorganics in air and particle phase at Nausta
DOI: 10.48597/thbd-seub
title: Measurement of Inorganics in air and particle phase at Nausta

description: Measurement of Inorganics in air and particle phase at Nausta
DOI: 10.15468/dl.d8t63r
title: Occurrence Download

description: A dataset containing 782 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "License is one of (CC-BY 4.0, CC-BY-NC 4.0)",
 "OccurrenceStatus is Present",
 "TaxonKey is Abies sachalinensis (F.Schmidt) Mast."
 ]
}

 The dataset includes 782 records from 50 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002148-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48597/v7et-762m
title: Measurement of Inorganics in air and particle phase at Nausta

description: Measurement of Inorganics in air and particle phase at Nausta
DOI: 10.48597/vp7n-rrxj
title: Measurement of Inorganics in air and particle phase at Nausta

description: Measurement of Inorganics in air and particle phase at Nausta
DOI: 10.15468/dl.gtj2ua
title: Occurrence Download

description: A dataset containing 33932 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Cupressus arizonica Greene, Cupressus bakeri Jeps., Cupressus cashmeriana Royle ex Carrière, Cupressus chengiana S.Y.Hu, Cupressus duclouxiana Hickel, Cupressus dupreziana A.Camus, Cupressus funebris Endl., Cupressus gigantea W.C.Cheng & L.K.Fu, Cupressus goveniana Gordon, Cupressus guadalupensis S.Watson, Cupressus lusitanica Mill., Cupressus macnabiana A.Murray bis, Cupressus macrocarpa Hartw. ex Gordon, Cupressus sargentii Jeps., Cupressus sempervirens L., Cupressus tonkinensis Silba, Cupressus torulosa D.Don)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen, Specimen, Material citation, Material sample)"
 ]
 }
 }
 ]
}

 The dataset includes 33932 records from 335 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002147-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wd7mqb
title: Occurrence Download

description: A dataset containing 148 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Passiflora arborea Spreng., Passiflora emarginata Humb. & Bonpl., Passiflora lindeniana Planch. ex Triana & Planch., Passiflora macrophylla Spruce ex Mast., Passiflora putumayensis Killip, Passiflora sphaerocarpa Triana & Planch., Passiflora tica Gómez-Laur. & L.D.Gómez, Passiflora tina Boender & Ulmer)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen, Specimen, Material citation, Material sample)"
 ]
 }
 }
 ]
}

 The dataset includes 148 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002149-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13991028
title: Global Artificial Intelligence in Banking Market 2024–2033

description: Artificial Intelligence in Banking Market Size, Trends and Insights By Component (Service, Solution), By Application (Fraud Detection and Prevention, Transaction Monitoring, Identity Verification, Customer Service, Virtual Assistants, Automated Customer Support, Risk Management, Credit Scoring, Market Risk Analysis, Personalized Banking, Customer Recommendations, Targeted Marketing, Compliance and Regulatory Reporting, Anti-Money Laundering (AML), Know Your Customer (KYC), Others), By Technology (Machine Learning, Supervised Learning, Unsupervised Learning, Reinforcement Learning, Natural Language Processing (NLP), Text Analysis, Speech Recognition, Chatbots and Virtual Assistants, Robotic Process Automation (RPA), Process Automation, Workflow Automation, Predictive Analytics, Risk Management, Customer Insights), By Enterprise Size (Large Enterprise, SMEs), and By Region - Global Industry Overview, Statistical Data, Competitive Analysis, Share, Outlook, and Forecast 2024–2033

VC investments in AI by country




Country
VC Investment


US
54,836


China
18,270


EU
7,921




For more details DOWNLOAD FREE SAMPLE Now at https://www.custommarketinsights.com/request-for-free-sample/?reportid=58189
DOI: 10.5281/zenodo.13991029
title: Global Artificial Intelligence in Banking Market 2024–2033

description: Artificial Intelligence in Banking Market Size, Trends and Insights By Component (Service, Solution), By Application (Fraud Detection and Prevention, Transaction Monitoring, Identity Verification, Customer Service, Virtual Assistants, Automated Customer Support, Risk Management, Credit Scoring, Market Risk Analysis, Personalized Banking, Customer Recommendations, Targeted Marketing, Compliance and Regulatory Reporting, Anti-Money Laundering (AML), Know Your Customer (KYC), Others), By Technology (Machine Learning, Supervised Learning, Unsupervised Learning, Reinforcement Learning, Natural Language Processing (NLP), Text Analysis, Speech Recognition, Chatbots and Virtual Assistants, Robotic Process Automation (RPA), Process Automation, Workflow Automation, Predictive Analytics, Risk Management, Customer Insights), By Enterprise Size (Large Enterprise, SMEs), and By Region - Global Industry Overview, Statistical Data, Competitive Analysis, Share, Outlook, and Forecast 2024–2033

VC investments in AI by country




Country
VC Investment


US
54,836


China
18,270


EU
7,921




For more details DOWNLOAD FREE SAMPLE Now at https://www.custommarketinsights.com/request-for-free-sample/?reportid=58189
DOI: 10.5517/ccdc.csd.cc2h8rzj
title: CCDC 2302338: Experimental Crystal Structure Determination

description: Related Article: Nianxin Rong, Ao Zhou, Mingrong Liang, Shou-Guo Wang, Qin Yin|2024|J.Am.Chem.Soc.|146|5081|doi:10.1021/jacs.4c00298
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.7tx9uw
title: Occurrence Download

description: A dataset containing 686916 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Brazil",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is one of (Characiformes, Siluriformes, Perciformes, Gymnotiformes, Synbranchiformes, Myliobatiformes, Osteoglossiformes, Cypriniformes, Salmoniformes)"
 ]
}

 The dataset includes 686916 records from 328 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002144-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/9719356
title: Forex Exchange Rates Since 2004 (Updated Daily)
DOI: 10.15468/dl.pqkksc
title: Occurrence Download

description: A dataset containing 35378 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Melia azedarach L., Melia volkensii Gürke)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen, Specimen, Material citation, Material sample)"
 ]
 }
 }
 ]
}

 The dataset includes 35378 records from 140 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002150-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.14469/hpc/6263
title: Addn/elim alternative to frag, TS1: addition to NCO, full system TS1 =&gt; TI1 G = -2457.052505 ΔG = +10.0

description: Gaussian Calculation
DOI: 10.14469/hpc/6261
title: Addn/elim alternative to frag TS3, C-O cleavage full system G=-2457.034374 ΔG = 21.4

description: Gaussian Calculation
DOI: 10.14469/hpc/6290
title: Addn/elim alternative to frag, TS2: addition to carbonyl, full system =&gt; TI2 G= -2457.050041

description: Gaussian Calculation
DOI: 10.14469/hpc/6341
title: Fragmentation, fullest model reactant CF2 Def2-TZVPP G= -2619.012494

description: Gaussian Calculation
DOI: 10.14469/hpc/6350
title: Addn/elim alternative to frag, TS2: addition to carbonyl, full system IRC

description: Gaussian Calculation
DOI: 10.14469/hpc/6412
title: Addn/elim alternative to frag TS3, C-O cleavage full system CF2 Def2-TZVPP G = -2618.969600 DDG = 26.9

description: Gaussian Calculation
DOI: 10.14469/hpc/6416
title: Addn/elim alternative to frag, TS1: addition to NCO, full system G=-2457.044039 DG = 15.3 IRC

description: Gaussian Calculation
DOI: 10.14469/hpc/6246
title: Fragmentation, Reactant for DA, cis G=-2457.024366 ΔG = +27.7

description: Gaussian Calculation
DOI: 10.14469/hpc/6248
title: Fragmentation, reactant G=-2457.068475 ΔG = 0.0

description: Gaussian Calculation
DOI: 10.14469/hpc/6257
title: Fragmentation, TS G = -2457.006400 ΔG = 39.0

description: Gaussian Calculation
DOI: 10.14469/hpc/6283
title: Addn/elim alternative to frag, TS2: addition to carbonyl, full system CF2 G = -2616.129276 ΔG = 23.5 ΔΔG = 1.7

description: Gaussian Calculation
DOI: 10.14469/hpc/6285
title: Addn/elim alternative to frag TS3 =&gt; Product CF2 G= -2616.184627

description: Gaussian Calculation
DOI: 10.14469/hpc/6247
title: Fragmentation, full system, TS for DA G=-2456.996599 ΔG = 45.1

description: Gaussian Calculation
DOI: 10.14469/hpc/6262
title: Addn/elim alternative to frag TS3 =&gt; Product G = -2457.086458 ΔG = -11.3

description: Gaussian Calculation
DOI: 10.14469/hpc/6272
title: Addn/elim alternative to frag, TS1: addition to NCO, full system CF2 G=-2616.138859 ΔG=17.5 ΔΔG + 2.2

description: Gaussian Calculation
DOI: 10.14469/hpc/6276
title: Addn/elim alternative to frag TS3, C-O cleavage full system CF2 G=-2616.127132 ΔG=24.9 (rds) ΔΔG = 3.5

description: Gaussian Calculation
DOI: 10.14469/hpc/6286
title: Addn/elim alternative to frag, TS1: addition to NCO, full system =&gt; TI1 CF2 G= -2616.147695

description: Gaussian Calculation
DOI: 10.14469/hpc/6349
title: Addn/elim alternative to frag TS3, C-O cleavage full system G=-2457.034374 DG = 21.4 IRC

description: Gaussian Calculation
DOI: 10.14469/hpc/6259
title: Addn/elim alternative to frag, TS2: addition to carbonyl, full system G=-2457.033715 ΔG = 21.8 (rds)

description: Gaussian Calculation
DOI: 10.14469/hpc/6271
title: Fragmentation, fullest model reactant CF2 G=-2616.166778 ΔG=0.0

description: Gaussian Calculation
DOI: 10.14469/hpc/6284
title: Addn/elim alternative to frag, TS1: addition to NCO, full system G=-2457.044039 ΔG = 15.3

description: Gaussian Calculation
DOI: 10.14469/hpc/6415
title: Addn/elim alternative to frag TS3 =&gt; Product CF2 Def2-TZVPP G = -2619.037277

description: Gaussian Calculation
DOI: 10.14469/hpc/6308
title: Addn/elim alternative to frag, TS2: addition to carbonyl, full system =&gt; TI2 CF2 G=-2616.149417

description: Gaussian Calculation
DOI: 10.14469/hpc/6332
title: Fragmentation, fullest model + OCNBz reactant Def2-TZVPP G=-2459.711905

description: Gaussian Calculation
DOI: 10.14469/hpc/6336
title: Addn/elim alternative to frag TS3, C-O cleavage full system Def2-TZVPP G=-2459.675025 DG = 23.1

description: Gaussian Calculation
DOI: 10.14469/hpc/6413
title: Addn/elim alternative to frag, TS2: addition to carbonyl, full system CF2 Def2-TZVPP G = -2618.964848 DG = 29.9

description: Gaussian Calculation
DOI: 10.14469/hpc/6542
title: Addn/elim alternative to frag, TS1: addition to NCO, full system Def2-TZVPP G = -2459.682473

description: Gaussian Calculation
DOI: 10.14469/hpc/6287
title: FAIR Data Table. Pyrimidine nucleosides syntheses by late-stage base heterocyclization reactions.

description: FAIR Table for computed free energies of reaction at the B3LYP+GD3+BJ level using THF as continuum solvent using Gaussian 16.
DOI: 10.14469/hpc/6435
title: Addn/elim alternative to frag, TS2: addition to carbonyl, full system Def2-TZVPP G = -2459.669396

description: Gaussian Calculation
DOI: 10.14469/hpc/6555
title: Addn/elim alternative to frag TS3 =&gt; Product Def2-TZVPP G = -2459.739883

description: Gaussian Calculation
DOI: 10.6084/m9.figshare.27302328.v1
title: Supplementary Material for: Implementation of machine learning algorithms to screen for advanced liver fibrosis in metabolic dysfunction-associated steatotic liver disease (MASLD): an in-depth explanatory analysis

description: Background 
This study aimed to train machine learning algorithms(MLAs) to detect advanced fibrosis(AF) in MASLD patients at the level of primary care setting and to explain the predictions to ensure responsible use by clinicians.
Methods
Readily available features of 618 MASLD patients followed up at a tertiary center were used to train five MLAs. AF was defined as liver stiffness≥9.3 kPa, measured via 2-dimension shear wave elastography(n=495) or liver biopsy≥F3(n=123). MLAs were compared to Fibrosis-4 index(FIB-4) and NAFLD fibrosis score(NFS) on 540 MASLD patients from the primary care setting as validation. Feature importance, partial dependence, and shapely additive explanations(SHAP) were utilized for explanation. 
Results
Extreme gradient boosting(XGBoost) achieved an AUC=0.91,outperforming FIB-4(AUC=0.78) and NFS(AUC=0.81, both p&lt;0.05) with specificity=76% vs. 59% and 48% for FIB-4≥1.3 and NFS≥-1.45, respectively(p&lt;0.05). Its sensitivity(91%) was superior to FIB-4(79%). XGBoost confidently excluded AF (negative predictive value=99%) with the highest positive predictive value (31%), superior to FIB-4 and NFS (all p&lt;0.05). The most important features were HbA1c and GGT with a steep increase in AF probability at HbA1c&gt;6.5%. The strongest interaction was between AST and age. XGBoost, but not logistic regression, extracted informative patterns from ALT, LDL-c,and ALP(p&lt;0.001). One quarter of the false positives (FP) were correctly reclassified with only one additional false negative based on the SHAP values of GGT, platelets, and ALT which were found to be associated with a FP classification.
Conclusions: 
An explainable XGBoost algorithm was demonstrated superior to FIB-4 and NFS for screening of AF in MASLD patients at the primary care setting. The algorithm also proved safe for use as clinicians can understand the predictions and flag FP classifications.