cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.933nce
title: Occurrence Download

description: A dataset containing 48 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Pakistan",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Ursus arctos Linnaeus, 1758"
 ]
}

 The dataset includes 48 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002307-250121130708018/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d9zrcf
title: Occurrence Download

description: A dataset containing 2227 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Tyto capensis (A.Smith, 1834)"
 ]
}

 The dataset includes 2227 records from 49 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002295-250121130708018/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.eqgr6x
title: Occurrence Download

description: A dataset containing 17081 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (China, Chinese Taipei)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Limosa limosa (Linnaeus, 1758)"
 ]
}

 The dataset includes 17081 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002306-250121130708018/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.10597672
title: Risk of bias assessments (RoB 2 and ROBINS-I) for the Cochrane review 'Vaccines for the prevention of infections in adults with solid tumors'

description: Risk of bias assessments and support for judgement with ROB 2 and ROBINS-I tool for the Cochrane Review: Vaccines for the prevention of infections in adults with solid tumors.
description: funded by the Federal Ministry of Education and Research, Germany (funding number: 01KG2104)
DOI: 10.5281/zenodo.10597671
title: Risk of bias assessments (RoB 2 and ROBINS-I) for the Cochrane review 'Vaccines for the prevention of infections in adults with solid tumors'

description: Risk of bias assessments and support for judgement with ROB 2 and ROBINS-I tool for the Cochrane Review: Vaccines for the prevention of infections in adults with solid tumors.
description: funded by the Federal Ministry of Education and Research, Germany (funding number: 01KG2104)
DOI: 10.5281/zenodo.14723409
title: Risk of bias assessments (RoB 2 and ROBINS-I) for the Cochrane review 'Vaccines for the prevention of infections in adults with solid tumors'

description: Risk of bias assessments and support for judgement with ROB 2 and ROBINS-I tool for the Cochrane Review: Vaccines for the prevention of infections in adults with solid tumors.
description: funded by the Federal Ministry of Education and Research, Germany (funding number: 01KG2104)
DOI: 10.15468/dl.jauvj3
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002309-250121130708018/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6yqtbz
title: Occurrence Download

description: A dataset containing 61 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Pakistan",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Vulpes vulpes (Linnaeus, 1758)"
 ]
}

 The dataset includes 61 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002303-250121130708018/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vhfhb6
title: Occurrence Download

description: A dataset containing 236 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Pakistan",
 "TaxonKey is Phoenicopterus Linnaeus, 1758"
 ]
}

 The dataset includes 236 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002300-250121130708018/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4eenwm
title: Occurrence Download

description: A dataset containing 25 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((130.78541 -9.87156,141.47888 -9.87156,141.47888 1.4818,130.78541 1.4818,130.78541 -9.87156))",
 "HasGeospatialIssue is false",
 "TaxonKey is Metroxylon Rottb."
 ]
}

 The dataset includes 25 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002302-250121130708018/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.t9a9kp
title: Occurrence Download

description: A dataset containing 472 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Palaeobotanical Collections (PB), Swedish Museum of Natural History (NRM)",
 "Issue is Coordinate invalid"
 ]
}

 The dataset includes 472 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002308-250121130708018/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gy6ahr
title: Occurrence Download

description: A dataset containing 1931 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Urva auropunctata (Hodgson, 1836)",
 "HasCoordinate is not null",
 "CoordinateUncertaintyInMeters is not null"
 ]
}

 The dataset includes 1931 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002298-250121130708018/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.c2yrep
title: Occurrence Download

description: A dataset containing 819 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((80.23035 -9.31371,136.76965 -9.31371,136.76965 13.31371,80.23035 13.31371,80.23035 -9.31371))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Euphaea impar Selys, 1859"
 ]
}

 The dataset includes 819 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002283-250121130708018/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j883pw
title: Occurrence Download

description: A dataset containing 236 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Pakistan",
 "TaxonKey is Phoenicopterus Linnaeus, 1758"
 ]
}

 The dataset includes 236 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002299-250121130708018/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4uvswh
title: Occurrence Download

description: A dataset containing 15956 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Satyrium Sw.)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 15956 records from 82 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002280-250121130708018/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7rewtm
title: Occurrence Download

description: A dataset containing 27033 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Spain",
 "DatasetKey is Fishes in MZNA-VERT: cyprinid and salmonid communities in the rivers Erro and Urederra (Spain). PhD project, Cristina García-Fresca",
 "PublishingOrg is 2f390a80-56f3-11da-880b-b8a03c50a862"
 ]
}

 The dataset includes 27033 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002286-250121130708018/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hmchp7
title: Occurrence Download

description: A dataset containing 629 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sicista betulina (Pallas, 1779)",
 "HasCoordinate is true",
 "Year is greater than or equal to 2013",
 "Year is less than or equal to 2018",
 "CoordinateUncertaintyInMeters is less than or equal to 1000"
 ]
}

 The dataset includes 629 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002310-250121130708018/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gwnj2j
title: Occurrence Download

description: A dataset containing 876 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ursus arctos Linnaeus, 1758",
 "HasCoordinate is true",
 "Year is greater than or equal to 2013",
 "Year is less than or equal to 2018",
 "CoordinateUncertaintyInMeters is less than or equal to 1000"
 ]
}

 The dataset includes 876 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002311-250121130708018/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.28260620
title: asdfas

description: -ddd
DOI: 10.6084/m9.figshare.28260620.v2
title: asdfas

description: -ddd
DOI: 10.6084/m9.figshare.25194059
title: Human TILs cocultured with cancers

description: Human TILs cocultured with melanoma.
DOI: 10.6084/m9.figshare.25194059.v1
title: Human TILs cocultured with cancers

description: Human TILs cocultured with melanoma.
DOI: 10.5281/zenodo.14723383
title: Global Proton Exchange Membrane Fuel Cell Market 2025 To 2034

description: Proton Exchange Membrane Fuel Cell Market Size, Trends and Insights By Type (High Temperature, Low Temperature), By Material (Membrane Electrode Assembly, Hardware, Others), By Application (Stationary, Portable, Transport, Other), and By Region - Global Industry Overview, Statistical Data, Competitive Analysis, Share, Outlook, and Forecast 2025–2034.

Reports Description

Global Proton Exchange Membrane Fuel Cell Market size was valued at USD 3,858.65 Million in 2025 and is expected to reach USD 13,238.06 Million by 2034 at a CAGR of 14.68% during the forecast period 2025 – 2034.

Proton exchange membrane (PEM) fuel cells are known for their high efficiency and low greenhouse gas emissions. PEM has gained interest in sectors such as transportation, stationary power generation and portable power systems. In addition, advances in PEM fuel cell technology, such as improved durability and lower costs, make it a more feasible option for various applications.

Proton exchange membrane fuel cell, also known as polymer electrolyte membrane fuel cell. It operates at relatively low temperatures and uses a solid polymer electrolyte membrane that allows protons (hydrogen ions) to pass through but blocks electrons. Increased demand for renewable energy in the electrical grid with the widespread use of Reliable and low-emission equipment allows for quick and efficient power delivery. Increasing investment in fuel cell infrastructure development aims to fuel market growth.

For more information, DOWNLOAD FREE SAMPLE Now at https://www.custommarketinsights.com/request-for-free-sample/?reportid=61209
DOI: 10.5281/zenodo.14723384
title: Global Proton Exchange Membrane Fuel Cell Market 2025 To 2034

description: Proton Exchange Membrane Fuel Cell Market Size, Trends and Insights By Type (High Temperature, Low Temperature), By Material (Membrane Electrode Assembly, Hardware, Others), By Application (Stationary, Portable, Transport, Other), and By Region - Global Industry Overview, Statistical Data, Competitive Analysis, Share, Outlook, and Forecast 2025–2034.

Reports Description

Global Proton Exchange Membrane Fuel Cell Market size was valued at USD 3,858.65 Million in 2025 and is expected to reach USD 13,238.06 Million by 2034 at a CAGR of 14.68% during the forecast period 2025 – 2034.

Proton exchange membrane (PEM) fuel cells are known for their high efficiency and low greenhouse gas emissions. PEM has gained interest in sectors such as transportation, stationary power generation and portable power systems. In addition, advances in PEM fuel cell technology, such as improved durability and lower costs, make it a more feasible option for various applications.

Proton exchange membrane fuel cell, also known as polymer electrolyte membrane fuel cell. It operates at relatively low temperatures and uses a solid polymer electrolyte membrane that allows protons (hydrogen ions) to pass through but blocks electrons. Increased demand for renewable energy in the electrical grid with the widespread use of Reliable and low-emission equipment allows for quick and efficient power delivery. Increasing investment in fuel cell infrastructure development aims to fuel market growth.

For more information, DOWNLOAD FREE SAMPLE Now at https://www.custommarketinsights.com/request-for-free-sample/?reportid=61209
DOI: 10.6084/m9.figshare.27969399
title: The Molecular Basis of Human FN3K-Mediated Phosphorylation of Glycated Substrates

description: Source data for Garg et al
DOI: 10.6084/m9.figshare.27969399.v1
title: The Molecular Basis of Human FN3K-Mediated Phosphorylation of Glycated Substrates

description: Source data for Garg et al
DOI: 10.6084/m9.figshare.25661235.v1
title: Rubisco DMS data

description: Rubisco DMS data.
S1 is biochemistry data for Rhodospirillum rubrum rubisco.
S2 is the fitness, Vmax and Km data produced in this study.
S3 is primer and plasmid information for materials used in this study.
S4 is the raw Western blot images
DOI: 10.6084/m9.figshare.25661235
title: Rubisco DMS data

description: Rubisco DMS data.
S1 is biochemistry data for Rhodospirillum rubrum rubisco.
S2 is the fitness, Vmax and Km data produced in this study.
S3 is primer and plasmid information for materials used in this study.
S4 is the raw Western blot images
DOI: 10.15468/dl.nvpzbf
title: Occurrence Download

description: A dataset containing 33587 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lutra lutra (Linnaeus, 1758)",
 "HasCoordinate is true",
 "Year is greater than or equal to 2013",
 "Year is less than or equal to 2018",
 "CoordinateUncertaintyInMeters is less than or equal to 1000"
 ]
}

 The dataset includes 33587 records from 143 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002313-250121130708018/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.28262573
title: Digital twin-driven dynamic scheduling in flexible job shop considering worker factors towards Industry 5.0

description: This is the experimental data of the manuscript entitled “Digital twin-driven dynamic scheduling in flexible job shop considering worker factors towards Industry 5.0”.
DOI: 10.6084/m9.figshare.28262573.v1
title: Digital twin-driven dynamic scheduling in flexible job shop considering worker factors towards Industry 5.0

description: This is the experimental data of the manuscript entitled “Digital twin-driven dynamic scheduling in flexible job shop considering worker factors towards Industry 5.0”.
DOI: 10.6084/m9.figshare.28023212
title: Direct observation of chiral edge current at zero magnetic field in a magnetic topological insulator

description: Source data of the manuscript, including data shown in the main text and the supplementary information.
DOI: 10.6084/m9.figshare.28023212.v1
title: Direct observation of chiral edge current at zero magnetic field in a magnetic topological insulator

description: Source data of the manuscript, including data shown in the main text and the supplementary information.
DOI: 10.6084/m9.figshare.27210705
title: Growing Super-Large Pre-Planetary Pebbles to an Impact Erosion Limit

description: Video of two clusters consisting of charged particles that are eroded by individual grains as their velocity reaches a threshold of about 0.5 m/s.
DOI: 10.6084/m9.figshare.27210705.v1
title: Growing Super-Large Pre-Planetary Pebbles to an Impact Erosion Limit

description: Video of two clusters consisting of charged particles that are eroded by individual grains as their velocity reaches a threshold of about 0.5 m/s.
DOI: 10.6084/m9.figshare.25971973
title: Tensile properties of Ti-6Al-4V alloys fabricated by L-PBF

description: The process and heat treatment parameters related to Ti-6Al-4V alloys fabricated by L-PBF
DOI: 10.6084/m9.figshare.25971973.v1
title: Tensile properties of Ti-6Al-4V alloys fabricated by L-PBF

description: The process and heat treatment parameters related to Ti-6Al-4V alloys fabricated by L-PBF
DOI: 10.6084/m9.figshare.28262540
title: Deep Learning based Disease Prediction Using External and Internal Images of Paralichthys Olivaceus

description: Early detection and rapid response to fish disease are essential because fish farms are vulnerable to disease. However, since conventional fish disease diagnosis relies on expert knowledge, it takes a lot of time and money, raising the mortality risk. Recently, to prevent this, research on fish disease prediction using deep learning has been actively conducted. This study proposes a method to diagnose fish diseases by predicting disease symptoms using a deep-learning classification model and an object-detection model on internal and external images of Paralichthys olivaceus. First, images of internal organs are extracted from internal images of Paralichthys olivaceus using a deep-learning segmentation model, and internal symptoms are predicted by training the deep-learning classification model. Next, a deep-learning object-detection model is trained on external images of the Paralichthys olivaceus to detect external symptoms. The internal and external symptoms are then merged and used to predict diseases. We compared the performance of symptom weight-based, data statistics-based, and symptom set learning-based methods in disease prediction. The proposed internal-symptom classification by organ was superior to the symptom object detection, and predicting disease by learning the symptom set using deep learning achieved the highest performance with Top-1 accuracy of 0.5818, and Top-3 accuracy of 0.8364.
DOI: 10.6084/m9.figshare.28262540.v1
title: Deep Learning based Disease Prediction Using External and Internal Images of Paralichthys Olivaceus

description: Early detection and rapid response to fish disease are essential because fish farms are vulnerable to disease. However, since conventional fish disease diagnosis relies on expert knowledge, it takes a lot of time and money, raising the mortality risk. Recently, to prevent this, research on fish disease prediction using deep learning has been actively conducted. This study proposes a method to diagnose fish diseases by predicting disease symptoms using a deep-learning classification model and an object-detection model on internal and external images of Paralichthys olivaceus. First, images of internal organs are extracted from internal images of Paralichthys olivaceus using a deep-learning segmentation model, and internal symptoms are predicted by training the deep-learning classification model. Next, a deep-learning object-detection model is trained on external images of the Paralichthys olivaceus to detect external symptoms. The internal and external symptoms are then merged and used to predict diseases. We compared the performance of symptom weight-based, data statistics-based, and symptom set learning-based methods in disease prediction. The proposed internal-symptom classification by organ was superior to the symptom object detection, and predicting disease by learning the symptom set using deep learning achieved the highest performance with Top-1 accuracy of 0.5818, and Top-3 accuracy of 0.8364.
DOI: 10.6084/m9.figshare.23272175
title: A global assessment of academic promotion criteria: What really counts?

description: Raw data set includes the information extracted from 532 policies assessing the promotion to professorship in a total of 121 countries. Included are the readme files with the key for interpreting the information in the table and the code to reproduce the resutls.
DOI: 10.6084/m9.figshare.23272175.v1
title: A global assessment of academic promotion criteria: What really counts?

description: Raw data set includes the information extracted from 532 policies assessing the promotion to professorship in a total of 121 countries. Included are the readme files with the key for interpreting the information in the table and the code to reproduce the resutls.
DOI: 10.6084/m9.figshare.28107914
title: Ion bridging enables high-voltage polyether electrolytes for solid-state batteries

description: Polyether electrolytes have been widely recognized for their favorable compatibility with lithium-metal, yet they are hampered by intrinsically low oxidation thresholds, limiting their potential for realizing high-energy Li-metal batteries. Here, we report a general approach involving the bridge joints between non-lithium metal ions and ethereal oxygen, which significantly enhances the oxidation stability of various polyether electrolyte systems. To demonstrate the feasibility of the ion-bridging strategy, a Zn2+ ion-bridged polyether electrolyte (Zn-IBPE) with an extending electrochemical stability window of over 5 V is prepared, which enables good cyclability in 4.5 V Li||LiCoO2 batteries. Ampere-hour-level quasi-solid-state batteries of SiO-graphite||LiNi0.8Mn0.1Co0.1O2 (10 Ah, N/P ratio of 1.12, 303 Wh kg−1 at 0.1 C based on the total weight of the pouch cells) and 60 μm-Li||LiNi0.9Mn0.05Co0.05O2 (18 Ah, N/P ratio of 2.5, 452 Wh kg−1 at 0.33 C based on the total weight of the pouch cells) pouch cells with Zn-IBPE present elevated electrochemical performance, benefiting from adequate interfacial stability. Nail penetration tests evidence high battery safety enabled by Zn-IBPE in 4 Ah graphite||LiNi0.8Mn0.1Co0.1O2 pouch cells without combustion or smoke. This work offers a pathway for designing high-voltage polymer electrolytes and a general solution for achieving high-performance quasi-solid-state batteries.