cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.d2vpa5
title: Occurrence Download

description: A dataset containing 349 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Populus rotundifolia"
 ]
}

 The dataset includes 349 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000480-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pqdff8
title: Occurrence Download

description: A dataset containing 264 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Loxocarya cinerea",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 264 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000481-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ag2t2p
title: Occurrence Download

description: A dataset containing 302 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Populus tomentosa"
 ]
}

 The dataset includes 302 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000482-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3eu8h7
title: Occurrence Download

description: A dataset containing 553 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Cistanthe grandiflora"
 ]
}

 The dataset includes 553 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000483-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18522488
title: Multi-Task Learning in Analyzing the Working capacity of MOFs

description: The screening and rational design of materials with optimal methane capture performance remain key challenges for environmental and energy applications. Metal–organic frameworks (MOFs) are considered among the most promising candidates for methane capture. However, existing studies often emphasize single-point adsorption capacity, overlooking the dynamic mechanisms associated with pressure swing adsorption (PSA) required for practical applications. The construction of this dataset aims to address this challenge and provide insights into PSA-related mechanisms in MOFs.

This dataset comprises geometric and chemical descriptors, as well as methane adsorption capacities under six different pressures, calculated for chemically reasonable MOF structures screened from eight publicly available datasets. In addition, we provide our in-house multitask learning (MTL) algorithm for predicting the gravimetric and volumetric working capacities of MOFs.

· CIF files: CIF files for 252,352 MOFs;· Geometric descriptors: 14 geometric descriptors;· Chemical descriptors: 176 chemical descriptors;· Methane_v, Methane_g: Volumetric and gravimetric working capacities for methane adsorption, including methane adsorption data under six pressures across three application scenarios (landfill gas treatment, methane purification, and methane storage);· MTL4MOFsWC: Python code for training the MTL models to predict the working capacity of methane adsorption in MOFs;· best_model_v_full, best_model_v_sim, best_model_g_full, best_model_g_sim: Pre-trained MTL models.
DOI: 10.5281/zenodo.18522489
title: Multi-Task Learning in Analyzing the Working capacity of MOFs

description: The screening and rational design of materials with optimal methane capture performance remain key challenges for environmental and energy applications. Metal–organic frameworks (MOFs) are considered among the most promising candidates for methane capture. However, existing studies often emphasize single-point adsorption capacity, overlooking the dynamic mechanisms associated with pressure swing adsorption (PSA) required for practical applications. The construction of this dataset aims to address this challenge and provide insights into PSA-related mechanisms in MOFs.

This dataset comprises geometric and chemical descriptors, as well as methane adsorption capacities under six different pressures, calculated for chemically reasonable MOF structures screened from eight publicly available datasets. In addition, we provide our in-house multitask learning (MTL) algorithm for predicting the gravimetric and volumetric working capacities of MOFs.

· CIF files: CIF files for 252,352 MOFs;· Geometric descriptors: 14 geometric descriptors;· Chemical descriptors: 176 chemical descriptors;· Methane_v, Methane_g: Volumetric and gravimetric working capacities for methane adsorption, including methane adsorption data under six pressures across three application scenarios (landfill gas treatment, methane purification, and methane storage);· MTL4MOFsWC: Python code for training the MTL models to predict the working capacity of methane adsorption in MOFs;· best_model_v_full, best_model_v_sim, best_model_g_full, best_model_g_sim: Pre-trained MTL models.
DOI: 10.15468/dl.nzbemh
title: Occurrence Download

description: A dataset containing 252 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lyginia barbata",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 252 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000485-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ps7kr7
title: Occurrence Download

description: A dataset containing 340 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Cladoraphis cyperoides"
 ]
}

 The dataset includes 340 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000486-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wnkh8u
title: Occurrence Download

description: A dataset containing 355 records in GBIF matching the query:

 SELECT gbifid, datasetkey, specieskey, kingdom, phylum, class, "order", family, genus, species, scientificname, decimallatitude, decimallongitude, eventdate, institutioncode, "year" AS obs_year, basisofrecord, coordinateuncertaintyinmeters, issue
 FROM occurrence
 WHERE
 decimallatitude IS NOT NULL
 AND decimallongitude IS NOT NULL
 AND NOT ARRAY_CONTAINS(issue, 'ZERO_COORDINATE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_OUT_OF_RANGE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_INVALID')
 AND NOT ARRAY_CONTAINS(issue, 'COUNTRY_COORDINATE_MISMATCH')
 AND "year" &gt;= 2015
 AND "year" &lt;= 2026
 AND coordinateuncertaintyinmeters IS NOT NULL
 AND coordinateuncertaintyinmeters &gt; 0
 AND coordinateuncertaintyinmeters &lt;= 200.0
 AND decimallatitude &gt;= 16.25916876999866
 AND decimallatitude &lt;= 20.3845909579754
 AND decimallongitude &gt;= 35.81366587837205
 AND decimallongitude &lt;= 41.53841948901044
 AND GBIF_Within('POLYGON ((41.538419 16.259169, 41.538419 20.384591, 35.813666 20.384591, 35.813666 16.259169, 41.538419 16.259169))', decimallatitude, decimallongitude) = TRUE
 

 The dataset's 355 records were derived from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000476-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.935fbn
title: Occurrence Download

description: A dataset containing 65 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mastersiella purpurea",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 65 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000487-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8dzfgz
title: Occurrence Download

description: A dataset containing 434 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Cleistocactus baumannii"
 ]
}

 The dataset includes 434 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000489-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rmbrhy
title: Occurrence Download

description: A dataset containing 87 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Melanostachya ustulata",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 87 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000490-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/k4jkcw
title: ETSAM Dataset - Annotations and Simulated Tomograms

description: Cryogenic Electron Tomography (cryo-ET) is an emerging experimental tech-
nique to visualize cell structures and macromolecules in their native cellular
environment. Accurate segmentation of cell structures in cryo-ET tomograms,
such as cell membranes, is crucial to advance our understanding of cellular
organization and function. However, several inherent limitations in cryo-ET
tomograms, including the very low signal-to-noise ratio, missing wedge arti-
facts from limited tilt angles, and other noise artifacts, collectively hinder the
reliable identification and delineation of these structures. In this study, we intro-
duce ETSAM - a two-stage SAM2-based fine-tuned AI model that effectively
segments cell membranes in cryo-ET tomograms. It is trained on a diverse
dataset comprising 83 experimental tomograms from the CryoET Data Portal
(CDP) database and 28 simulated tomograms generated using PolNet. ETSAM
achieves state-of-the-art performance on an independent test set comprising 10
simulated tomograms and 10 experimental tomograms for which ground-truth
annotations are available. It robustly segments cell membranes with high sen-
sitivity and precision, achieving a more favorable precision–recall trade-off than
other deep learning methods

The ETSAM source code is freely available at https://github.com/jianlin-cheng/ETSAM.

Note: This deposit only contains annotations and simulated tomograms used in the train and test datasets. Corresponding experimental tomograms must be retrieved from the CryoET Data Portal database. We provide helper scripts in our GitHub repository to fetch the experimental tomograms.
DOI: 10.15468/dl.3spkjp
title: Occurrence Download

description: A dataset containing 1046 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Clusia alata"
 ]
}

 The dataset includes 1046 records from 79 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000491-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.aaljns
title: Occurrence Download

description: A dataset containing 47 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "Country is Thailand",
 "Country is Cambodia",
 "Country is Lao People’s Democratic Republic",
 "Country is Viet Nam",
 "Country is Myanmar"
 ]
 },
 "HasCoordinate is true",
 "TaxonKey is Pterocarpus macrocarpus Kurz",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 47 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009379-190415153152247/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qxatdn
title: Occurrence Download

description: A dataset containing 34 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Phaeophyscia sciastra (Ach.) Moberg",
 "MediaType is Image",
 "BasisOfRecord is Human Observation"
 ]
}

 The dataset includes 34 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001671-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.urqsjd
title: Occurrence Download

description: A dataset containing 431 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "Year is greater than or equal to 2000",
 "Year is less than or equal to 2024",
 "Geometry POLYGON ((-130.7383528944533 -59.46314024951374, -130.7383528944533 32.71876227804215, -26.26729810228821 32.71876227804215, -26.26729810228821 -59.46314024951374, -130.7383528944533 -59.46314024951374))",
 "OccurrenceStatus is Present",
 "TaxonKey is Grallaria carrikeri Schulenberg & M.D.Williams, 1982"
 ]
}

 The dataset includes 431 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051252-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.u3293u
title: Occurrence Download

description: A dataset containing 13464 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Bemisia tabaci (Gennadius, 1889)"
 ]
}

 The dataset includes 13464 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0262580-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5h3e7t
title: Occurrence Download

description: A dataset containing 81453 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Senecio viscosus L."
 ]
}

 The dataset includes 81453 records from 401 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0285340-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ebiouj
title: Occurrence Download

description: A dataset containing 91 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Alpheus panamensis Kingsley, 1878"
 ]
}

 The dataset includes 91 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009385-150615163101818/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cs69zg
title: Occurrence Download

description: A dataset containing 2288 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Quercus douglasii Hook. & Arn."
 ]
}

 The dataset includes 2288 records from 66 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0228559-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fquxey
title: Occurrence Download

description: A dataset containing 866681 species occurrences available in GBIF matching the query:
{
 "Country" : [
 "is Benin"
 ]
}

 The dataset includes 866681 records from 416 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004542-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5uu9h7
title: Occurrence Download

description: A dataset containing 47650 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Issue is Geodetic datum assumed WGS84",
 "OccurrenceStatus is Present",
 "TaxonKey is Stellaria media (L.) Vill.",
 "Year 2010-2021"
 ]
}

 The dataset includes 47650 records from 181 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0312263-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.t9yr3g
title: Occurrence Download

description: A dataset containing 250517 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Juncus bufonius L."
 ]
}

 The dataset includes 250517 records from 832 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0292496-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0162330.10fu
title: SH0162330.10FU

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/sh0162331.10fu
title: SH0162331.10FU

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/sh0162332.10fu
title: SH0162332.10FU

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/sh0162333.10fu
title: SH0162333.10FU

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/sh0162334.10fu
title: SH0162334.10FU

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.