cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.yg49ke
title: Occurrence Download

description: A dataset containing 20 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Material sample, Material citation, Specimen)",
 "DatasetKey is one of (INSDC Sequences, International Barcode of Life project (iBOL), A revision of the Mexican Anolis (Reptilia, Squamata, Dactyloidae) from the Pacific versant west of the Isthmus de Tehuantepec in the states of Oaxaca, Guerrero, and Puebla, with the description of six new species)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "PublishingOrg is one of (ada9d123-ddb4-467d-8891-806ea8d94230, 7ce8aef0-9e92-11dc-8738-b8a03c50a862, b3bf3a83-1f68-4541-a03f-330d30d567f5)",
 "TaxonKey is Anolis immaculogularis Köhler, Trejo Pérez, Petersen & Méndez De La Cruz, 2014",
 "Year 1950-2024"
 ]
}

 The dataset includes 20 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002950-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2023-06.2833132/2377524
title: Data for EMSL Project 51287 from June 2023
DOI: 10.25582/data.2023-06.2833173/2377525
title: Data for EMSL Project 51287 from June 2023
DOI: 10.25582/data.2023-06.2833123/2377526
title: Data for EMSL Project 51287 from June 2023
DOI: 10.25582/data.2023-06.2833288/2377527
title: Data for EMSL Project 51287 from June 2023
DOI: 10.25582/data.2023-06.2833313/2377528
title: Data for EMSL Project 51287 from June 2023
DOI: 10.25582/data.2023-06.2833321/2377529
title: Data for EMSL Project 51287 from June 2023
DOI: 10.25582/data.2023-06.2833151/2377530
title: Data for EMSL Project 51287 from June 2023
DOI: 10.25582/data.2023-06.2833685/2377531
title: Data for EMSL Project 51287 from June 2023
DOI: 10.25582/data.2023-06.2833315/2377532
title: Data for EMSL Project 51287 from June 2023
DOI: 10.25582/data.2023-06.2833164/2377533
title: Data for EMSL Project 51287 from June 2023
DOI: 10.25582/data.2023-06.2833165/2377534
title: Data for EMSL Project 51287 from June 2023
DOI: 10.25582/data.2023-06.2833191/2377535
title: Data for EMSL Project 51287 from June 2023
DOI: 10.25582/data.2023-06.2833702/2377536
title: Data for EMSL Project 51287 from June 2023
DOI: 10.25582/data.2023-06.2833343/2377537
title: Data for EMSL Project 51287 from June 2023
DOI: 10.25582/data.2023-06.2833181/2377538
title: Data for EMSL Project 51287 from June 2023
DOI: 10.25582/data.2023-06.2833335/2377539
title: Data for EMSL Project 51287 from June 2023
DOI: 10.25582/data.2023-06.2833443/2377540
title: Data for EMSL Project 51287 from June 2023
DOI: 10.25582/data.2023-06.2833203/2377541
title: Data for EMSL Project 51287 from June 2023
DOI: 10.25582/data.2023-06.2833699/2377542
title: Data for EMSL Project 51287 from June 2023
DOI: 10.25582/data.2023-06.2832993/2377543
title: Data for EMSL Project 51287 from June 2023
DOI: 10.25582/data.2023-06.2833138/2377544
title: Data for EMSL Project 51287 from June 2023
DOI: 10.15468/dl.b38k62
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ecuador",
 "OccurrenceStatus is Present",
 "TaxonKey is Glossophaga commissarisi Gardner, 1962"
 ]
}

 The dataset includes 3 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002951-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2023-06.2833166/2377545
title: Data for EMSL Project 51287 from June 2023
DOI: 10.25582/data.2023-06.2833210/2377546
title: Data for EMSL Project 51287 from June 2023
DOI: 10.25582/data.2023-06.2833670/2377547
title: Data for EMSL Project 51287 from June 2023
DOI: 10.25582/data.2023-06.2833198/2377548
title: Data for EMSL Project 51287 from June 2023
DOI: 10.25582/data.2023-06.2833369/2377549
title: Data for EMSL Project 51287 from June 2023
DOI: 10.25582/data.2023-06.2833184/2377550
title: Data for EMSL Project 51287 from June 2023
DOI: 10.25582/data.2023-06.2833676/2377551
title: Data for EMSL Project 51287 from June 2023
DOI: 10.25582/data.2023-06.2833688/2377552
title: Data for EMSL Project 51287 from June 2023
DOI: 10.25582/data.2023-06.2833697/2377553
title: Data for EMSL Project 51287 from June 2023
DOI: 10.25582/data.2023-06.2833149/2377554
title: Data for EMSL Project 51287 from June 2023
DOI: 10.25582/data.2023-06.2833647/2377555
title: Data for EMSL Project 51287 from June 2023
DOI: 10.25582/data.2023-06.2833332/2377556
title: Data for EMSL Project 51287 from June 2023
DOI: 10.25582/data.2023-06.2833473/2377557
title: Data for EMSL Project 51287 from June 2023
DOI: 10.25582/data.2023-06.2833674/2377558
title: Data for EMSL Project 51287 from June 2023
DOI: 10.25582/data.2023-06.2833158/2377559
title: Data for EMSL Project 51287 from June 2023
DOI: 10.25582/data.2023-06.2833680/2377560
title: Data for EMSL Project 51287 from June 2023
DOI: 10.25582/data.2023-06.2833669/2377561
title: Data for EMSL Project 51287 from June 2023
DOI: 10.25582/data.2023-06.2832991/2377562
title: Data for EMSL Project 51287 from June 2023
DOI: 10.25582/data.2023-06.2833156/2377563
title: Data for EMSL Project 51287 from June 2023
DOI: 10.6084/m9.figshare.26113957
title: Dataset Long-Term HDPE Geomembrane Performance with Non-Parametric Statistic Analysis and Its Contribution to the Sustainable Development Goals.xlsx

description: This is the raw data used to develop the article Long-Term HDPE Geomembrane Performance with Non-Parametric Statistic Analysis and Its Contribution to the Sustainable Development Goals.
DOI: 10.6084/m9.figshare.26113957.v1
title: Dataset.xlsx

description: This is the raw data used to develop the article Long-Term HDPE Geomembrane Performance with Non-Parametric Statistic Analysis and Its Contribution to the Sustainable Development Goals.
DOI: 10.6084/m9.figshare.26113957.v2
title: Dataset Long-Term HDPE Geomembrane Performance with Non-Parametric Statistic Analysis and Its Contribution to the Sustainable Development Goals.xlsx

description: This is the raw data used to develop the article Long-Term HDPE Geomembrane Performance with Non-Parametric Statistic Analysis and Its Contribution to the Sustainable Development Goals.
DOI: 10.25582/data.2023-06.2833180/2377564
title: Data for EMSL Project 51287 from June 2023
DOI: 10.25582/data.2023-06.2833671/2377565
title: Data for EMSL Project 51287 from June 2023
DOI: 10.25582/data.2023-06.2833150/2377566
title: Data for EMSL Project 51287 from June 2023
DOI: 10.25582/data.2023-06.2833272/2377567
title: Data for EMSL Project 51287 from June 2023
DOI: 10.25582/data.2023-06.2833140/2377568
title: Data for EMSL Project 51287 from June 2023
DOI: 10.25582/data.2023-06.2833204/2377569
title: Data for EMSL Project 51287 from June 2023
DOI: 10.25582/data.2023-06.2833013/2377570
title: Data for EMSL Project 51287 from June 2023
DOI: 10.25582/data.2023-06.2833338/2377571
title: Data for EMSL Project 51287 from June 2023
DOI: 10.25582/data.2023-06.2833176/2377572
title: Data for EMSL Project 51287 from June 2023
DOI: 10.25582/data.2023-06.2833194/2377573
title: Data for EMSL Project 51287 from June 2023
DOI: 10.25582/data.2023-06.2833178/2377574
title: Data for EMSL Project 51287 from June 2023
DOI: 10.25582/data.2023-06.2833124/2377575
title: Data for EMSL Project 51287 from June 2023
DOI: 10.25582/data.2023-06.2833322/2377576
title: Data for EMSL Project 51287 from June 2023
DOI: 10.25582/data.2023-06.2833021/2377577
title: Data for EMSL Project 51287 from June 2023
DOI: 10.25582/data.2023-06.2833703/2377578
title: Data for EMSL Project 51287 from June 2023
DOI: 10.25582/data.2023-06.2832982/2377579
title: Data for EMSL Project 51287 from June 2023
DOI: 10.25582/data.2023-06.2833207/2377580
title: Data for EMSL Project 51287 from June 2023
DOI: 10.25582/data.2023-06.2833023/2377581
title: Data for EMSL Project 51287 from June 2023
DOI: 10.25582/data.2023-06.2833304/2377582
title: Data for EMSL Project 51287 from June 2023
DOI: 10.25582/data.2023-06.2833201/2377583
title: Data for EMSL Project 51287 from June 2023
DOI: 10.25582/data.2023-06.2833700/2377584
title: Data for EMSL Project 51287 from June 2023
DOI: 10.25582/data.2023-06.2833187/2377585
title: Data for EMSL Project 51287 from June 2023
DOI: 10.25582/data.2023-06.2833339/2377586
title: Data for EMSL Project 51287 from June 2023
DOI: 10.25582/data.2023-06.2833208/2377587
title: Data for EMSL Project 51287 from June 2023
DOI: 10.25582/data.2023-06.2833370/2377588
title: Data for EMSL Project 51287 from June 2023
DOI: 10.25582/data.2023-06.2833205/2377589
title: Data for EMSL Project 51287 from June 2023
DOI: 10.25582/data.2023-06.2833336/2377590
title: Data for EMSL Project 51287 from June 2023
DOI: 10.25582/data.2023-06.2833466/2377591
title: Data for EMSL Project 51287 from June 2023
DOI: 10.25582/data.2023-06.2833692/2377592
title: Data for EMSL Project 51287 from June 2023
DOI: 10.15468/dl.smp9tw
title: Occurrence Download

description: A dataset containing 342 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Material sample, Material citation, Specimen, Living Specimen, Occurrence evidence)",
 "TaxonKey is Iblidae"
 ]
}

 The dataset includes 342 records from 37 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002952-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2023-06.2833683/2377593
title: Data for EMSL Project 51287 from June 2023
DOI: 10.25582/data.2023-06.2833312/2377594
title: Data for EMSL Project 51287 from June 2023
DOI: 10.25582/data.2023-06.2833169/2377595
title: Data for EMSL Project 51287 from June 2023
DOI: 10.25582/data.2023-06.2833690/2377596
title: Data for EMSL Project 51287 from June 2023
DOI: 10.25582/data.2023-06.2833193/2377597
title: Data for EMSL Project 51287 from June 2023
DOI: 10.25582/data.2023-06.2833018/2377598
title: Data for EMSL Project 51287 from June 2023
DOI: 10.25582/data.2023-06.2833172/2377599
title: Data for EMSL Project 51287 from June 2023
DOI: 10.25582/data.2023-06.2833328/2377600
title: Data for EMSL Project 51287 from June 2023
DOI: 10.25582/data.2023-06.2833342/2377601
title: Data for EMSL Project 51287 from June 2023
DOI: 10.25582/data.2023-06.2833673/2377602
title: Data for EMSL Project 51287 from June 2023
DOI: 10.25582/data.2023-06.2833326/2377603
title: Data for EMSL Project 51287 from June 2023
DOI: 10.25582/data.2023-06.2833287/2377604
title: Data for EMSL Project 51287 from June 2023
DOI: 10.25582/data.2023-06.2833686/2377605
title: Data for EMSL Project 51287 from June 2023
DOI: 10.25582/data.2023-06.2833316/2377606
title: Data for EMSL Project 51287 from June 2023
DOI: 10.25582/data.2023-06.2833704/2377607
title: Data for EMSL Project 51287 from June 2023
DOI: 10.25582/data.2023-06.2833157/2377608
title: Data for EMSL Project 51287 from June 2023
DOI: 10.25582/data.2023-06.2833639/2377609
title: Data for EMSL Project 51287 from June 2023
DOI: 10.25582/data.2023-06.2833289/2377610
title: Data for EMSL Project 51287 from June 2023
DOI: 10.25582/data.2023-06.2833409/2377611
title: Data for EMSL Project 51287 from June 2023
DOI: 10.25582/data.2023-06.2833206/2377612
title: Data for EMSL Project 51287 from June 2023
DOI: 10.25582/data.2023-06.2833330/2377613
title: Data for EMSL Project 51287 from June 2023
DOI: 10.25582/data.2023-06.2833337/2377614
title: Data for EMSL Project 51287 from June 2023
DOI: 10.25582/data.2023-06.2833147/2377615
title: Data for EMSL Project 51287 from June 2023
DOI: 10.15468/dl.rdta3n
title: Occurrence Download

description: A dataset containing 74 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Mungotictis decemlineata (Grandidier, 1867)"
 ]
}

 The dataset includes 74 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002953-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2023-06.2833327/2377616
title: Data for EMSL Project 51287 from June 2023
DOI: 10.25582/data.2023-06.2833139/2377617
title: Data for EMSL Project 51287 from June 2023
DOI: 10.25582/data.2023-06.2833202/2377618
title: Data for EMSL Project 51287 from June 2023
DOI: 10.25582/data.2023-06.2833341/2377619
title: Data for EMSL Project 51287 from June 2023
DOI: 10.25582/data.2023-06.2833705/2377620
title: Data for EMSL Project 51287 from June 2023
DOI: 10.25582/data.2023-06.2832983/2377621
title: Data for EMSL Project 51287 from June 2023
DOI: 10.25582/data.2024-06.3153738/2377622
title: Data for EMSL Project 60942 from June 2024
DOI: 10.15468/dl.tjvgcg
title: Occurrence Download

description: A dataset containing 295 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ecuador",
 "OccurrenceStatus is Present",
 "TaxonKey is Glossophaga soricina (Pallas, 1766)"
 ]
}

 The dataset includes 295 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002954-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2024-06.3152989/2377623
title: Data for EMSL Project 60942 from June 2024
DOI: 10.25582/data.2024-06.3153082/2377624
title: Data for EMSL Project 60942 from June 2024
DOI: 10.25582/data.2024-06.3152979/2377625
title: Data for EMSL Project 60942 from June 2024
DOI: 10.25582/data.2024-06.3153039/2377626
title: Data for EMSL Project 60942 from June 2024
DOI: 10.25582/data.2024-06.3153013/2377627
title: Data for EMSL Project 60942 from June 2024
DOI: 10.25582/data.2024-06.3153601/2377628
title: Data for EMSL Project 60942 from June 2024
DOI: 10.25582/data.2024-06.3153767/2377629
title: Data for EMSL Project 60942 from June 2024
DOI: 10.15468/dl.wtjvdy
title: Occurrence Download

description: A dataset containing 1770 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Phoebastria immutabilis (Rothschild, 1893)",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1770 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002955-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gdhd8f
title: Occurrence Download

description: A dataset containing 289 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Specimen, Material citation, Material sample)",
 "DatasetKey is one of (Computarización de las colecciones de vertebrados terrestres de la Escuela Nacional de Ciencias Biológicas, IPN Fase 4 (Anfibios y reptiles), KUBI Herpetology Collection, UCM Amphibian and Reptile Collection (Arctos), University of Michigan Museum of Zoology, Division of Reptiles & Amphibians, LACM Vertebrate Collection, Museum of Comparative Zoology, Harvard University, Vertebrados terrestres del Corredor Biológico Sierra Madre del Sur, Chiapas, México, Fortalecimiento de las colecciones de ECOSUR. Primera fase (Herpetológica San cristóbal), Actualización y enriquecimiento de las bases de datos del proyecto de evaluación y análisis geográfico de la diversidad faunística de Chiapas, NMNH Extant Specimen Records (USNM, US))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "PublishingOrg is one of (ff90b050-c256-11db-b71b-b8a03c50a862, b554c320-0560-11d8-b851-b8a03c50a862, 4cadac10-3e7b-11d9-8439-b8a03c50a862, 6ea87510-0561-11d8-b851-b8a03c50a862, 493fe050-055d-11d8-b84f-b8a03c50a862, b4640710-8e03-11d8-b956-b8a03c50a862, bc092ff0-02e4-11dc-991f-b8a03c50a862)",
 "TaxonKey is Anolis laeviventris (Wiegmann, 1834)",
 "Year 1950-2024"
 ]
}

 The dataset includes 289 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002956-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p3bm3x
title: Occurrence Download

description: A dataset containing 193510 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((128.78215 -5.34304,135.30204 -5.34304,135.30204 0.69022,128.78215 0.69022,128.78215 -5.34304))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Year 2010-2024"
 ]
}

 The dataset includes 193510 records from 106 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002937-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wj9vpr
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ecuador",
 "OccurrenceStatus is Present",
 "TaxonKey is Lichonycteris degener Miller, 1931"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002957-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pdjwp7
title: Occurrence Download

description: A dataset containing 25 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Material sample, Material citation, Specimen, Living Specimen, Occurrence evidence)",
 "TaxonKey is Idioiblidae"
 ]
}

 The dataset includes 25 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002958-240626123714530/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.24619197
title: Developing Deep Learning-based Large-scale Organic Reaction Classification Model via Sigma-profiles

description: The "<b>Train_AE.zip</b>" contains the scripts for training an auto-encoder.The "<b>Train_DL_Models.zip</b>" contains the scripts for training deep learning-based models.The "<b>sigma_profiles_dict.npy</b>" contains the sigma-profiles of millions of different molecules. The SMILES of a molecule is used as key to query the corresponding sigma-profiles.The "<b>sorted_agent_dict.npy</b>" contains the statistical results of USPTO_TPL dataset concerning the frequency of occurrence of agents. The agents are shown in an descending manner.The "<b>sorted_agent_combination_dict.npy</b>" contains the statistical results of USPTO_TPL dataset concerning the frequency of occurrence of agent combinations. The combinations are shown in an descending manner.<br>The "<b>USPTO_TPL_own_version.xlsx</b>" contains the reactions that used for training/validation/testing.<br>
DOI: 10.6084/m9.figshare.24619197.v1
title: Develop Deep Learning-based Large-scale Reaction Classification Model via Sigma-profiles

description: The "<b>Train_AE.zip</b>" contains the scripts for training an auto-encoder.The "<b>Train_DL_Models.zip</b>" contains the scripts for training deep learning-based models.The "<b>sigma_profiles_dict.npy</b>" contains the sigma-profiles of millions of different molecules. The SMILES of a molecule is used as key to query the corresponding sigma-profiles.The "<b>sorted_agent_dict.npy</b>" contains the statistical results of USPTO_TPL dataset concerning the frequency of occurrence of agents. The agents are shown in an descending manner.The "<b>USPTO_TPL_own_version.xlsx</b>" contains the reactions that used for training/validation/testing.<br>
DOI: 10.15468/dl.ygjhr4
title: Occurrence Download

description: A dataset containing 999 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Material sample, Material citation, Specimen)",
 "DatasetKey is one of (Museum of Comparative Zoology, Harvard University, Fortalecimiento de las colecciones de ECOSUR. Primera fase (Herpetológica Chetumal), Actualización y enriquecimiento de las bases de datos del proyecto de evaluación y análisis geográfico de la diversidad faunística de Chiapas, NMNH Extant Specimen Records (USNM, US), Universidad del Valle de Guatemala - Colecciones Biológicas - Reptiles, KUBI Herpetology Collection, Caracterización biológica del Monumento Natural Yaxchilán como un elemento fundamental para el diseño de su plan rector de manejo, Digitalización y Sistematización de las Colecciones Biológicas Nacionales del Instituto de Biología, UNAM (vertebrados), Sistematización de las colecciones científicas del Instituto de Historia Natural y Ecología, (IHNE) Chiapas, MVZ Herp Collection (Arctos), Fortalecimiento de las colecciones de ECOSUR. Primera fase (Herpetológica San cristóbal), Inventario y monitoreo de anfibios y mariposas en la Reserva de Calakmul, Campeche, Análisis de las relaciones entre las diversidades alfa, beta y gamma a distintos niveles de escala espacial: Procesos históricos y ecológicos que intervienen. V Etapa, Herpetofauna del Estado de Veracruz)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "PublishingOrg is one of (ff90b050-c256-11db-b71b-b8a03c50a862, b4640710-8e03-11d8-b956-b8a03c50a862, 5c1a4c27-795a-4294-aecc-46d7176706b7, bc092ff0-02e4-11dc-991f-b8a03c50a862, b554c320-0560-11d8-b851-b8a03c50a862, 8edbbde0-055e-11d8-b850-b8a03c50a862)",
 "TaxonKey is Anolis lemurinus Cope, 1861",
 "Year 1950-2024"
 ]
}

 The dataset includes 999 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002959-240626123714530/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.20000390
title: ConvPred: A deep learning-based framework for predictions of potential organic reactions

description: <br>
The "<strong>Codes.zip</strong>" contains python scripts for training sigma-profiles-based and ECFP4-based models and script for generating ECFP4 dict.
<br>
The "<strong>Models.zip</strong>" contains trained sigma-profiles-based and ECFP4-based models using the scripts mentioned above.
<br>
The "<strong>Data.zip"</strong> constains reactions used for training and their sigma-profiles descriptor generated by MOPAC.
<br>
The "<strong>VRF(sigma).7z</strong>" contains the python script used to generate certain VRF(sigma) for chemical reactions.
<br>
The "<strong>Scripts for extracting reactions and templates.7z</strong>" contains the python scripts used to extract certain types of reactions and templates from the USPTO 1976-2016 database.
DOI: 10.6084/m9.figshare.20000390.v4
title: ConvPred

description: <br>
The "<strong>Codes.zip</strong>" contains python scripts for training sigma-profiles-based and ECFP4-based models and script for generating ECFP4 dict.
<br>
The "<strong>Models.zip</strong>" contains trained sigma-profiles-based and ECFP4-based models using the scripts mentioned above.
<br>
The "<strong>Data.zip"</strong> constains reactions used for training and their sigma-profiles descriptor generated by MOPAC.
<br>
The "<strong>VRF(sigma).7z</strong>" contains the python script used to generate certain VRF(sigma) for chemical reactions.
<br>
The "<strong>Scripts for extracting reactions and templates.7z</strong>" contains the python scripts used to extract certain types of reactions and templates from the USPTO 1976-2016 database.