cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0191159.10fu
title: SH0191159.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0191160.10fu
title: SH0191160.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0191161.10fu
title: SH0191161.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0191162.10fu
title: SH0191162.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0191163.10fu
title: SH0191163.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.7303/syn3157329
title: ROSMAP imputed genotype data
DOI: 10.5066/p9neqqfy
title: Digital Representation of Selected Isopach and Geologic Maps from U.S. Geological Survey Paleotectonic Publications

description: Important hydrological and geotechnical information from U.S. Geological Survey (USGS) reports detailing selected paleotectonic geologic periods, including the Jurassic (McKee and others, 1956), Triassic (McKee and others, 1959), Permian (McKee and McKee, 1967), Pennsylvanian (McKee and Crosby, 1975), and Mississippian (Craig and Connor, 1979), were digitized from scanned plates. Discrete well points attributed with a thickness value and isopach contours were captured and, along with geologic contact information from the Geologic Map of North America (GMNA) (Garrity and Soller, 2009), were used to interpolate geologic thickness for each period.
Data available in this data release include 5 compressed (.zip) geodatabases (.gdb).
Citations:
McKee, E.D., Oriel, S.S., Swanson, V.E., MacLachlan, M.E., MacLachlan, J.C., Ketner, K.B., Goldsmith, J.W., Bell, R.Y., Jameson, D.J., and Imlay, R.W., 1956, Paleotectonic maps of the Jurassic System: U.S. Geological Survey Miscellaneous Geologic Investigations Map I-175, 6 p., 9 plates, https://doi.org/10.3133/i175.
McKee, E.D., Oriel, S.S., Ketner, K.B., MacLachlan, M.E., Goldsmith, J.W., MacLachlan, J.C., and Mudge, M.R., 1959, Paleotectonic maps of the Triassic System: U.S. Geological Survey Miscellaneous Geologic Investigations Map I-300, 33 p., 9 plates, https://doi.org/10.3133/i300.
McKee, E.D., and McKee, S.S., 1967, Paleotectonic maps of the Permian System: U.S. Geological Survey Miscellaneous Geologic Investigations Map I-450: 1 table, 20 plates, https://doi.org/10.3133/i450.
McKee, E.D., and Crosby, E.J., 1975, Paleotectonic investigations of the Pennsylvanian system in the United States, Part III: Plates: U.S. Geological Survey Professional Paper 853-3, 39 plates, https://doi.org/10.3133/pp8533.
Craig, L.C., and Connor, C.W., 1979, Paleotectonic Investigations of the Mississippian System in the United States: U.S. Geological Survey Professional Paper 1010, 2 parts, 29 plates, https://doi.org/10.3133/pp1010.
Garrity, C.P., and Soller, D.R., 2009, Database of the Geologic Map of North America; adapted from the map by J.C. Reed, Jr. and others (2005): U.S. Geological Survey Data Series 424, https://doi.org/10.3133/ds424.
DOI: 10.7303/syn5014602
title: IPI24
DOI: 10.7303/syn5592405
title: A Bavarian Dream Write-up v.2
DOI: 10.7303/syn5584594
title: AMP-AD_MayoPilot_PSP_BAM_data
DOI: 10.7303/syn5580964
title: AMP-AD_MayoPilot_AD_BAM_data
DOI: 10.7303/syn5620969
title: Free running Bee Neurons
DOI: 10.7303/syn2862345
title: MEP-LINCS
DOI: 10.7303/syn4152464
title: Rat
DOI: 10.15468/dl.mb7t4f
title: Occurrence Download

description: A dataset containing 212 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is North America",
 "Country is Canada",
 "DatasetKey is iNaturalist Research-grade Observations",
 "Geometry POLYGON((-81.93635 42.65156,-79.05719 42.65156,-79.05719 45.24211,-81.93635 45.24211,-81.93635 42.65156))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Month is May",
 "StateProvince is ONtario",
 "TaxonKey is Hirundo rustica Linnaeus, 1758",
 "Year 2000-2020"
 ]
}

 The dataset includes 212 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022661-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7303/syn5048723
title: Dream_PartyPeeps On Drugs
DOI: 10.7303/syn5757502
title: user_pred_conf_csvs
DOI: 10.7303/syn4732982
title: final-submission
DOI: 10.7303/syn5753383
title: AZ-S Predicton
DOI: 10.7303/syn5758316
title: AZ-S Drug Combination Prediction Subchallenge 1 Final
DOI: 10.7303/syn5009038
title: Submissions for AstraZeneca-Sanger Drug Challenge
DOI: 10.7303/syn3157225
title: MayoeGWAS
DOI: 10.7303/syn3157238
title: Mayo LOAD GWAS Genotypes
DOI: 10.7303/syn3157268
title: MayoPilotRNAseq
DOI: 10.5285/29a1ca5b-5a69-5641-e063-7086abc04fbf
title: Portable X-ray fluorescence (pXRF) data of sediment core-tops and core catcher samples collected from the Semenov Hydrothermal Field region of the Mid-Atlantic Ridge during the RRS James Cook cruises JC224 (March - April 2022) and JC254 (October - November 2023)

description: Sediment core tops and core catcher samples from coring stations throughout the Semenov Hydrothermal Field region of the Mid-Atlantic Ridge during the RRS James Cook cruises JC224 (March - April 2022) and JC254 (October - November 2023) were collected for geochemical analysis. Samples were prepared in sample cups for portable X-ray fluorescence (pXRF) measurements at a dedicated workstation within the British Ocean Sediment Core Research Facility (BOSCORF). This dataset includes pXRF elemental concentrations of the JC224 and JC254 sediment core tops and selected core catcher samples. The data were collected as part of a PhD project funded under NERC's Ultramafic-hosted mineral Resource Assessment (ULTRA) project, grant reference NE/S004068/1, and the sediment cores are currently stored at the BOSCORF for long-term preservation.
DOI: 10.7303/syn5049298
title: cerebellum
DOI: 10.7303/syn3163039
title: temporal cortex
DOI: 10.7303/syn5762790
title: SC11-002
DOI: 10.5281/zenodo.14839757
title: unimpeded: rlcdm bao.sdss_dr16+planck_2018_plik_nolens

description: cosmological model:rlcdm, dataset:bao.sdss_dr16+planck_2018_plik_nolens
DOI: 10.5281/zenodo.14839758
title: unimpeded: rlcdm bao.sdss_dr16+planck_2018_plik_nolens

description: cosmological model:rlcdm, dataset:bao.sdss_dr16+planck_2018_plik_nolens
DOI: 10.7303/syn5762791
title: SC11-003
DOI: 10.7303/syn5762797
title: SC11-009
DOI: 10.7303/syn5762795
title: SC11-007
DOI: 10.7303/syn5762796
title: SC11-008
DOI: 10.7303/syn5762793
title: SC11-005
DOI: 10.7303/syn5762794
title: SC11-006
DOI: 10.7303/syn5762806
title: SC12-039
DOI: 10.7303/syn5762804
title: SC11-017
DOI: 10.7303/syn5762800
title: SC11-013
DOI: 10.7303/syn5762807
title: SC12-037
DOI: 10.5281/zenodo.14765705
title: Dataset for "Saur and decline: patterns in lizard imports to the US (2000-2022)"

description: Dataset for the study: "Saur and decline: patterns in lizard imports to the US (2000-2022)".

Files include:



Lizard_trade_script_v2: R script for summarising data and creating figures.

Lizard_trade_data_2: LEMIS data filtered for lizards only from Eskew et al. 2020 and Marshall et al. 2025.

List_of_genera_v1: A list of all lizard genera developed from a manual inspection of the Reptile Database.

Port_names_data_v2: A list of port of entry names and approximate coordinates in the United States.

Country_codes_v1: A list of country names and corresponding country codes in the LEMIS dataset.


For original LEMIS data files, which includes LEMIS data for other taxa and more comprehensive information, see:



Eskew et al. 2020 (https://zenodo.org/records/3565869)

Marshall et al. 2025 (https://figshare.com/s/960af99373aba13791be)
DOI: 10.5281/zenodo.14765704
title: Dataset for "Saur and decline: patterns in lizard imports to the US (2000-2022)"

description: Dataset for the study: "Saur and decline: patterns in lizard imports to the US (2000-2022)".

Files include:



Lizard_trade_script_v2: R script for summarising data and creating figures.

Lizard_trade_data_2: LEMIS data filtered for lizards only from Eskew et al. 2020 and Marshall et al. 2025.

List_of_genera_v1: A list of all lizard genera developed from a manual inspection of the Reptile Database.

Port_names_data_v2: A list of port of entry names and approximate coordinates in the United States.

Country_codes_v1: A list of country names and corresponding country codes in the LEMIS dataset.


For original LEMIS data files, which includes LEMIS data for other taxa and more comprehensive information, see:



Eskew et al. 2020 (https://zenodo.org/records/3565869)

Marshall et al. 2025 (https://figshare.com/s/960af99373aba13791be)
DOI: 10.5281/zenodo.14845083
title: Dataset for "Saur and decline: patterns in lizard imports to the US (2000-2022)"

description: Dataset for the study: "Saur and decline: patterns in lizard imports to the US (2000-2022)".

Files include:



Lizard_trade_script_v2: R script for summarising data and creating figures.

Lizard_trade_data_2: LEMIS data filtered for lizards only from Eskew et al. 2020 and Marshall et al. 2025.

List_of_genera_v1: A list of all lizard genera developed from a manual inspection of the Reptile Database.

Port_names_data_v2: A list of port of entry names and approximate coordinates in the United States.

Country_codes_v1: A list of country names and corresponding country codes in the LEMIS dataset.


For original LEMIS data files, which includes LEMIS data for other taxa and more comprehensive information, see:



Eskew et al. 2020 (https://zenodo.org/records/3565869)

Marshall et al. 2025 (https://figshare.com/s/960af99373aba13791be)
DOI: 10.7303/syn5762805
title: SC11-018
DOI: 10.7303/syn5762940
title: SC12-005
DOI: 10.7303/syn5762799
title: SC11-012
DOI: 10.7303/syn5762948
title: SC12-021
DOI: 10.7303/syn5762947
title: SC12-020
DOI: 10.7303/syn5762942
title: SC12-006
DOI: 10.7303/syn5762941
title: SC13-048
DOI: 10.7303/syn5762944
title: SC13-049
DOI: 10.7303/syn5762945
title: SC13-054
DOI: 10.7303/syn5762949
title: SC12-022
DOI: 10.7303/syn5762954
title: SC12-028
DOI: 10.7303/syn5762951
title: SC12-023
DOI: 10.7303/syn5762950
title: SC13-047
DOI: 10.7303/syn5762955
title: SC12-029
DOI: 10.7303/syn5762952
title: SC12-024
DOI: 10.7303/syn5762956
title: SC12-030
DOI: 10.7303/syn5762961
title: SC13-045
DOI: 10.7303/syn5762959
title: SC12-036
DOI: 10.7303/syn5762958
title: SC12-034
DOI: 10.7303/syn5762964
title: SC13-043
DOI: 10.7303/syn5762963
title: SC12-038
DOI: 10.7303/syn5762962
title: SC12-035
DOI: 10.7303/syn5762966
title: SC14-066
DOI: 10.7303/syn5762965
title: SC12-040
DOI: 10.7303/syn5762960
title: SC13-044
DOI: 10.7303/syn5762957
title: SC12-031
DOI: 10.7303/syn5762969
title: SC14-070
DOI: 10.7303/syn5762972
title: SC14-073
DOI: 10.7303/syn5762973
title: SC14-074
DOI: 10.7303/syn5762978
title: SC12-042
DOI: 10.7303/syn5762977
title: SC13-057
DOI: 10.7303/syn5762979
title: SC13-046
DOI: 10.7303/syn5762975
title: SC12-041
DOI: 10.7303/syn5698508
title: Team_ICR_submission
DOI: 10.7303/syn4970200
title: Bladder Cancer Cell Line Exome Seq
DOI: 10.7303/syn4260742
title: ProstateNRH
DOI: 10.17632/67yct6kpsd
title: Preventing Obesity in Military Communities - Adolescents

description: Please advise that the data file contains errors. Do not download. We will upload a correct data file as soon as possible. Thank you!


Given unique risk factors and stressors, military-dependent youth may be particularly vulnerable to binge eating and psychosocial difficulties. As such, interpersonal psychotherapy (IPT), which targets psychosocial problems, may be well-suited for military-dependent teens. Military-dependent boys and girls (N=166, Mage=14.45) with a body mass index (BMI)>85th%ile and elevated anxiety and/or >1 episode of loss-of-control (LOC)-eating in the prior 3-months participated in a randomized-controlled trial comparing 12-weeks of adapted group IPT and health-education (HE) for the prevention of binge-eating disorder. Binge-eating episodes, social problems, and depressive symptoms were assessed at baseline, post-treatment, and one-year follow-up. At one year (N=152), no adolescent developed binge-eating disorder at one-year. There were no group differences in binge eating frequency at one-year, and no significant group by time interactions for depressive symptoms (ps=.21). However, there was a significant group by time interaction for social problems (p=.03), which increased in HE (p=.003) but not IPT. Exploratory analyses stratified by sex revealed no group differences for binge eating for boys (n=67) or girls (n=85). Results for social problems paralleled the full sample but did not reach statistical significance for either sex. For girls only, the IPT group experienced a significantly greater decrease in depressive symptoms at one year than the HE group (p=.04). IPT appears to prevent worsening of social problems among adolescent military-dependent youth. Among girls, IPT demonstrated patterns for reduced depressive symptoms. Research is needed to determine whether further IPT adaptations are required for military-dependents to prevent binge eating. Data file contains demographic information for participants, as well as questionnaire results related to binge-eating, social problems, depressive and anxiety symptoms. Data is in long format for multilevel analyses nested within time (baseline, post-treatment, and one-year follow-up).
DOI: 10.7303/syn4601848
title: Prostate Cancer 9.5 Submission 1
DOI: 10.7303/syn4729761
title: Prostate Cancer 9.5 Submission 2
DOI: 10.7303/syn3647478
title: CAMP Prostate Cancer Models
DOI: 10.7303/syn4229266
title: MSG Prostate Cancer
DOI: 10.7303/syn2384331
title: Broad-DREAM Gene Essentiality Prediction Challenge
DOI: 10.7303/syn5576734
title: MoleMapper Public Researcher Portal
DOI: 10.7303/syn5876309
title: AstraZeneca-Sanger Drug Combination Prediction Challenge
DOI: 10.7303/syn4228582
title: iPSC_RNAseq_BAM_files
DOI: 10.5281/zenodo.14839781
title: unimpeded: nrunlcdm bicep_keck_2018+planck_2018_plik_nolens

description: cosmological model:nrunlcdm, dataset:bicep_keck_2018+planck_2018_plik_nolens
DOI: 10.5281/zenodo.14839782
title: unimpeded: nrunlcdm bicep_keck_2018+planck_2018_plik_nolens

description: cosmological model:nrunlcdm, dataset:bicep_keck_2018+planck_2018_plik_nolens
DOI: 10.7303/syn4228560
title: MDMi_RNAseq_BAM_files
DOI: 10.7303/syn5958425
title: ROSMAP H3K9 Acetylation ChIPSeq BAM Files
DOI: 10.7303/syn4896408
title: ROSMAP H3K9 Acetylation ChIPSeq
DOI: 10.7303/syn5907990
title: gbmSYGNAL
DOI: 10.7303/syn6131622
title: Mouse plasma proteome dynamics in a NAFLD mouse model
DOI: 10.7303/syn6157617
title: Ribosome Profiling Kallehauge et al (2016)
DOI: 10.7303/syn4984604
title: Dermal Neurofibromatosis
DOI: 10.7303/syn4984617
title: Data
DOI: 10.15468/dl.rp3cts
title: Occurrence Download

description: A dataset containing 31554 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Living Specimen, Human Observation, Observation, Material citation, Occurrence evidence, Specimen)",
 "Continent is South America",
 "Country is Colombia",
 "GadmGid is COL.9.14_2",
 "License is one of (CC0 1.0, CC-BY 4.0, CC-BY-NC 4.0)",
 "Month is one of (January, February, April, March, May, June, July, August, September, October, November, December)",
 "TaxonKey is Plantae",
 "Year 1000-2025"
 ]
}

 The dataset includes 31554 records from 61 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022663-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7303/syn6171000
title: sequana_dbs
DOI: 10.7303/syn2820426
title: DREAM6 - Gene Expression Prediction Challenge
DOI: 10.7303/syn2313744
title: gstest10 test 1
DOI: 10.7303/syn7059574
title: pub20160714
DOI: 10.7303/syn3219045
title: ROSMAP Study
DOI: 10.7303/syn6133183
title: miRNA
DOI: 10.7303/syn4566010
title: EpiMap
DOI: 10.7303/syn4587609
title: UCLA-ASD
DOI: 10.7303/syn5321694
title: HumanFC
DOI: 10.7303/syn4590910
title: iPSC
DOI: 10.7303/syn5844980
title: BipSeq
DOI: 10.7303/syn5842535
title: LIBD-WGBS
DOI: 10.7303/syn4590850
title: MouseHAL
DOI: 10.7303/syn4588462
title: lncRNA Pilot
DOI: 10.7303/syn7221266
title: networks
DOI: 10.7303/syn7221264.2
title: MSBB_network_analysis.zip
DOI: 10.7303/syn5909526
title: Agile Manager Dataset
DOI: 10.7303/syn7202976
title: TSAR
DOI: 10.7303/syn7214402
title: MC3
DOI: 10.7303/syn7320599
title: Disease module Subchallenge 1 Final submission
DOI: 10.7303/syn7359754
title: Cell Systems Final
DOI: 10.7303/syn7368046
title: SMVM Empirical Dataset
DOI: 10.15468/dl.n7q3ub
title: Occurrence Download

description: A dataset containing 188240 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Waarnemingen.be - Non-native animal occurrences in Flanders and the Brussels Capital Region, Belgium",
 "Year 2023-2023"
 ]
}

 The dataset includes 188240 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022618-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7303/syn7273873
title: Testing1234
DOI: 10.7303/syn7373599
title: A Dataset of 5,547 Workers
DOI: 10.15468/dl.pye46s
title: Occurrence Download

description: A dataset containing 908 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Peru",
 "TaxonKey is Grallaria blakei G.R.Graves, 1987"
 ]
}

 The dataset includes 908 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022664-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7303/syn7354353
title: Pipeline scripts
DOI: 10.7303/syn7767704
title: biofield
DOI: 10.7303/syn7821443
title: 1,000 Simulated Worker Agents
DOI: 10.7303/syn7843851
title: Pt152
DOI: 10.7303/syn7344947
title: BSMN Knowledge Portal
DOI: 10.7303/syn8030946
title: Whole Exome Sequencing of Mouse Samples
DOI: 10.7303/syn7500146
title: Survival Causal Tree
DOI: 10.7303/syn8094020
title: Drug_Response_Data
DOI: 10.15468/dl.vx5tnc
title: Occurrence Download

description: A dataset containing 429 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Gabon Biodiversity Collection - Poisson (Fish)"
 ]
}

 The dataset includes 429 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022665-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14837500
title: ConGen: Targeted Molecule Generation Through Contrastive Learning and Latent Optimization

description: This repository contains materials for the paper, ConGen: Targeted Molecule Generation Through Contrastive Learning and Latent Optimization.

data.zip

models.zip    

predictions.zip