cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0153689.10fu
title: SH0153689.10FU

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/sh0153690.10fu
title: SH0153690.10FU

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/sh0153691.10fu
title: SH0153691.10FU

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/sh0153692.10fu
title: SH0153692.10FU

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: 10.15468/dl.qcqqz3
title: Occurrence Download

description: A dataset containing 353 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-10.67514 15.66442,123.67514 15.66442,123.67514 69.33558,-10.67514 69.33558,-10.67514 15.66442))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Podophyllum hexandrum"
 ]
}

 The dataset includes 353 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000755-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0153693.10fu
title: SH0153693.10FU

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/sh0153694.10fu
title: SH0153694.10FU

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/sh0153695.10fu
title: SH0153695.10FU

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: 10.15468/dl.sfbj2k
title: Occurrence Download

description: A dataset containing 96 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-35.16277 21.24421,1.16277 21.24421,1.16277 35.75579,-35.16277 35.75579,-35.16277 21.24421))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Polycarpaea smithii"
 ]
}

 The dataset includes 96 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000756-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0153696.10fu
title: SH0153696.10FU

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: 10.5281/zenodo.18478768
title: A Generic Model for Mixture Adsorption Property Prediction (MAPP): Toward Efficient Discovery of Metal-Organic Frameworks for CO$_2$ Capture

description: This repository contains the training data and trained model files used in our work titled "A Generic Model for Mixture Adsorption Property Prediction (MAPP): Toward Efficient Discovery of Metal-Organic Frameworks for CO$_2$ Capture". The goal of this study is to predict CO$_2$/N$_2$ adsorption in MOFs under various conditions (e.g. pressure and gas composition). The training data were curated from GCMC simulation using RASPA 2.0.47, and the model was trained using Pytorch 1.13.1.

 

Version History

 

Version 2.0 (Current): Updated models and extended data





Added MAPP-V4 models (ExTransformerV4 architecture) with improved performance




Added CGCNN baseline models for comparison




Added pure component model for IAST predictions




Added extended training data with original absolute loading and excess loading data, and multiple transformation formats (log10/symlog10/arcsinh)




Added experimental MOF validation data (IRMOF-1, UiO-66, MIL-53(Al), CALF-20)



Version 1.0: Initial release with V3 models (available via version history)

 

Included Files (Version 2.0)

 

Data Files:





cifs_graphs_grids.tar.gz: Processed MOFs' CIF, CGCNN graph, and energy grid files (inherited from v1)




mof_split_val1000_test1000_seed0_org_csv.zip: Labeled data with multiple adsorption representations, MOF-based split




mof_cluster_split_val1_test3_seed0_org_csv.zip: Labeled data with multiple adsorption representations, cluster-based split




isotherm_extra_test.tar.gz: Extra test set isotherm data from GCMC simulation




processed_data.tar.gz: Processed training data (id_condition_ads_qst_org_all.csv)




exp_mof_data.tar.gz: Experimental MOF validation data and simulation data (5 MOFs)



MAPP-V4 Models (MOFTransformer-based):





model_MAPP_GMOF_v4.tar.gz: MAPP model trained on MOF-based split




model_MAPP_GCluster_v4.tar.gz: MAPP model trained on cluster-based split




model_MAPPPure.tar.gz: Pure component model for IAST predictions



CGCNN Baseline Models:





model_CGCNN_GMOF.tar.gz: CGCNN model trained on MOF-based split




model_CGCNN_GCluster.tar.gz: CGCNN model trained on cluster-based split
DOI: 10.5281/zenodo.15796756
title: A Generic Model for Mixture Adsorption Property Prediction (MAPP): Toward Efficient Discovery of Metal-Organic Frameworks for CO$_2$ Capture

description: This repository contains the training data and trained model files used in our work titled "A Generic Model for Mixture Adsorption Property Prediction (MAPP): Toward Efficient Discovery of Metal-Organic Frameworks for CO$_2$ Capture". The goal of this study is to predict CO$_2$/N$_2$ adsorption in MOFs under various conditions (e.g. pressure and gas composition). The training data were curated from GCMC simulation using RASPA 2.0.47, and the model was trained using Pytorch 1.13.1.

 

Version History

 

Version 2.0 (Current): Updated models and extended data





Added MAPP-V4 models (ExTransformerV4 architecture) with improved performance




Added CGCNN baseline models for comparison




Added pure component model for IAST predictions




Added extended training data with original absolute loading and excess loading data, and multiple transformation formats (log10/symlog10/arcsinh)




Added experimental MOF validation data (IRMOF-1, UiO-66, MIL-53(Al), CALF-20)



Version 1.0: Initial release with V3 models (available via version history)

 

Included Files (Version 2.0)

 

Data Files:





cifs_graphs_grids.tar.gz: Processed MOFs' CIF, CGCNN graph, and energy grid files (inherited from v1)




mof_split_val1000_test1000_seed0_org_csv.zip: Labeled data with multiple adsorption representations, MOF-based split




mof_cluster_split_val1_test3_seed0_org_csv.zip: Labeled data with multiple adsorption representations, cluster-based split




isotherm_extra_test.tar.gz: Extra test set isotherm data from GCMC simulation




processed_data.tar.gz: Processed training data (id_condition_ads_qst_org_all.csv)




exp_mof_data.tar.gz: Experimental MOF validation data and simulation data (5 MOFs)



MAPP-V4 Models (MOFTransformer-based):





model_MAPP_GMOF_v4.tar.gz: MAPP model trained on MOF-based split




model_MAPP_GCluster_v4.tar.gz: MAPP model trained on cluster-based split




model_MAPPPure.tar.gz: Pure component model for IAST predictions



CGCNN Baseline Models:





model_CGCNN_GMOF.tar.gz: CGCNN model trained on MOF-based split




model_CGCNN_GCluster.tar.gz: CGCNN model trained on cluster-based split
DOI: 10.15468/dl.tbjfjh
title: Occurrence Download

description: A dataset containing 541 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Argentina",
 "TaxonKey is Ara chloropterus"
 ]
}

 The dataset includes 541 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012105-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tffnze
title: Occurrence Download

description: A dataset containing 128 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Parantica nilgiriensis"
 ]
}

 The dataset includes 128 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012104-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rx8nfm
title: Occurrence Download

description: A dataset containing 706 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Upeneus japonicus",
 "DecimalLatitude is greater than or equal to -2.46",
 "DecimalLatitude is less than or equal to 35.19",
 "DecimalLongitude is greater than or equal to 103.16",
 "DecimalLongitude is less than or equal to 131.57"
 ]
}

 The dataset includes 706 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012106-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q9ujxj
title: Occurrence Download

description: A dataset containing 965 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Caranx sexfasciatus",
 "DecimalLatitude is greater than or equal to -2.46",
 "DecimalLatitude is less than or equal to 35.19",
 "DecimalLongitude is greater than or equal to 103.16",
 "DecimalLongitude is less than or equal to 131.57"
 ]
}

 The dataset includes 965 records from 48 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012107-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25824/redu/lnjjkb
title: Replication data for: plasmon-mediated scanning tunneling microscopy induced luminescence in CdSe/ZnCdS quantum dots

description: This dataset contains all data used in the manuscript submitted. The dataset contains: STM images, Photon maps acquired with STM images, STS spectra, luminescence spectra from tunnel current induced luminescence (STML) and photoluminescence (PL). Finally, it contains some time-resolved photoluminescence spectra. The data is the raw data (data as acquired) and processed data. The data contains some metadata related to the acquisition conditions. Other experimental details are available in the research paper.
DOI: 10.15468/dl.phgwjr
title: Occurrence Download

description: A dataset containing 1131 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Parupeneus multifasciatus",
 "DecimalLatitude is greater than or equal to -2.46",
 "DecimalLatitude is less than or equal to 35.19",
 "DecimalLongitude is greater than or equal to 103.16",
 "DecimalLongitude is less than or equal to 131.57"
 ]
}

 The dataset includes 1131 records from 41 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012108-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.v7eqhf
title: Occurrence Download

description: A dataset containing 1960 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Nandina domestica",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 1960 records from 161 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012109-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18443472
title: استقلال از مسیر و فقدان مسیر در سی آر وی دی

description:  در سی آر وی دی ،دینامیکفیزیکی نه بر اساس حرکت ذرات در امتداد مسیر، بلکه بر مبنای توزیع های پیوستٔه حجمی انرژی و فشار ناشی از تولید انرژی تعریف میشود و  نشان داده میشود که مفهوم مسیر فاقد محتوای فیزیکی بنیادی است و تنها به عنوان یک انتخاب گیج هندسی ظاهر میشود . دو فایل جهت بارگیری وجود دارد
DOI: 10.5281/zenodo.18443473
title: استقلال از مسیر و فقدان مسیر در سی آر وی دی

description:  در سی آر وی دی ،دینامیکفیزیکی نه بر اساس حرکت ذرات در امتداد مسیر، بلکه بر مبنای توزیع های پیوستٔه حجمی انرژی و فشار ناشی از تولید انرژی تعریف میشود و  نشان داده میشود که مفهوم مسیر فاقد محتوای فیزیکی بنیادی است و تنها به عنوان یک انتخاب گیج هندسی ظاهر میشود . دو فایل جهت بارگیری وجود دارد
DOI: 10.5281/zenodo.18486367
title: Raw data for metacognition study Spain-Japan
DOI: 10.5281/zenodo.18486368
title: Raw data for metacognition study Spain-Japan
DOI: 10.15468/dl.cacgtn
title: Occurrence Download

description: A dataset containing 1009171 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Continent is one of (South America, North America, Europe, Oceania, Asia, Antarctica, Africa)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "License is CC-BY 4.0",
 "Month is one of (January, March, May, July, September, November)",
 "OccurrenceStatus is Present",
 "TaxonKey is Insecta",
 "Year 2016-2026"
 ]
}

 The dataset includes 1009171 records from 640 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012079-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6x8qkm
title: Occurrence Download

description: A dataset containing 3164 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Podophyllum peltatum",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 3164 records from 152 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012111-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rspr44
title: Occurrence Download

description: A dataset containing 268467 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Bryophyta",
 "Year 2016-2026"
 ]
}

 The dataset includes 268467 records from 310 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012086-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sxknu9
title: Occurrence Download

description: A dataset containing 1653 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Simplicia cornicalis"
 ]
}

 The dataset includes 1653 records from 46 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012113-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.29y8nj
title: Occurrence Download

description: A dataset containing 3959 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lexias pardalis"
 ]
}

 The dataset includes 3959 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012114-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qah7g2
title: Occurrence Download

description: A dataset containing 191684 species occurrences available in GBIF matching the query:
{
 "and" : [
 "SpeciesKey is one of (Stilpnia cyanicollis)",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Human Observation, Observation, Specimen)"
 ]
}

 The dataset includes 191684 records from 223 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012054-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.