cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/dk3xvrsvtw.1
title: Simulation Applied to Phase Detection in a Coriolis Effect Based Flowmeter

description: The following dataset is all related to the article Simulation Applied to Phase Detection in a Coriolis Effect Based Flowmeter
DOI: 10.15468/dl.xdwxx4
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tithonia diversifolia",
 "Country is Eritrea",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021177-250717081556266/datasets/export for details.
DOI: 10.15468/dl.jg773s
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cordia curassavica",
 "Country is Mauritius",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021176-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/mhjwyb5p48
title: Image Dataset of Ten Durian Diseases Captured in Real-Field Conditions from a Family Orchard in Vinh Long, Vietnam

description: This dataset contains 4,000 raw JPEG images of durian leaves, stems, fruits, and roots affected by ten common durian diseases, captured in real-field conditions from a family-owned durian orchard and four neighboring farms in Vĩnh Long, Vietnam. The images are organized into ten folders, each corresponding to one disease class: Thrips disease, Stem blight, Canker disease, Pink disease, Stem cracking and gummosis, Mealybug infestation, Anthracnose, Fruit rot, Sooty mold, and Yellow leaf disease.

Each class includes approximately 400 images, photographed using an iPhone 14 under natural lighting and farm conditions to simulate how farmers typically capture images. As a result, the dataset exhibits realistic noise, such as blurry focus, uneven lighting, varied angles, and complex backgrounds.

After collection, images were cropped using Preview on macOS (MacBook with Apple M4 chips), and saved in both JPEG (original) and PNG (cropped) formats. Disease symptoms were verified by plant pathology experts, ensuring the reliability of the class labels.

This dataset is intended for use in machine learning and computer vision applications, particularly in plant disease classification, mobile-based diagnostics, and evaluation of models under noisy, real-world conditions.
DOI: 10.17632/mhjwyb5p48.1
title: Image Dataset of Ten Durian Diseases Captured in Real-Field Conditions from a Family Orchard in Vinh Long, Vietnam

description: This dataset contains 4,000 raw JPEG images of durian leaves, stems, fruits, and roots affected by ten common durian diseases, captured in real-field conditions from a family-owned durian orchard and four neighboring farms in Vĩnh Long, Vietnam. The images are organized into ten folders, each corresponding to one disease class: Thrips disease, Stem blight, Canker disease, Pink disease, Stem cracking and gummosis, Mealybug infestation, Anthracnose, Fruit rot, Sooty mold, and Yellow leaf disease.

Each class includes approximately 400 images, photographed using an iPhone 14 under natural lighting and farm conditions to simulate how farmers typically capture images. As a result, the dataset exhibits realistic noise, such as blurry focus, uneven lighting, varied angles, and complex backgrounds.

After collection, images were cropped using Preview on macOS (MacBook with Apple M4 chips), and saved in both JPEG (original) and PNG (cropped) formats. Disease symptoms were verified by plant pathology experts, ensuring the reliability of the class labels.

This dataset is intended for use in machine learning and computer vision applications, particularly in plant disease classification, mobile-based diagnostics, and evaluation of models under noisy, real-world conditions.
DOI: 10.17632/npjy7vdgky
title: A unified deep learning framework for high-performance RUL prediction

description: Datasets 1 and 2 were constructed using NCA/Gr-Si based SONY 18650 VTC6 cells (A nominal capacity of 3 Ah and a nominal voltage of 3.6 V). Dataset 3 employed Samsung SDI INR18650 25R cells with NCA+NCM/Gr-Si (A nominal capacity of 2.5 Ah, and a nominal voltage of 3.6 V). 

Datasets 1, 2 and 3 consist of 90, 12 and 28 cells respectively. Each dataset consists of cycling data generated by assigning distinct operating profiles---each with a length of up to 1000 cycles and extracted from Markov matrices representing different user groups---to individual cells. During the generation of protocols from the configured Markov matrices, half of the initial cycles for each generated protocol were designated as fast-charging and the other half as slow-charging. These profiles, each consisting of a distinct charging sequence, emulate specific user group charging patterns by alternating between fast and slow charging based on derived probabilistic behavior. 

All cells were tested using a battery cycler (CRC 05-10, Wonik PNE, South Korea) within a temperature-controlled chamber (IL-11, JEIO TECH, South Korea) maintained at 25 °C. Each cell underwent cycles that alternated between fast charging (3C) and slow charging (0.5C), followed by a standardized 1C CC discharge and a 10-minute rest period between charging and discharging. For full-range fast charging, a 3C CC-CV protocol was employed in a SOC range of 2.5−4.2 V with a 20-minute time limit. Dataset 2 employed the same protocol but within a voltage range of 3.2−4.2 V and a shortened time limit of 17 minutes. Similarly, full-range slow charging used a 0.5C CC-CV protocol within 2.5−4.2 V with a 120-minute limit, while Dataset 2 applied in 3.2−4.2 V, limiting the time to 100 minutes. To constrain the SOC range during charging to the MID–HIGH region in Dataset 2, the discharge cut-off voltage was set at 3.2 V, which corresponds to approximately 16.6% SOC under 1C discharge. A diagnostic cycle at a 0.2C (dis)charging was inserted every 30 cycles from BOL for all datasets. Voltage, current, and capacity data were recorded every 10 seconds during each cycle.
DOI: 10.17632/npjy7vdgky.1
title: A unified deep learning framework for high-performance RUL prediction

description: Datasets 1 and 2 were constructed using NCA/Gr-Si based SONY 18650 VTC6 cells (A nominal capacity of 3 Ah and a nominal voltage of 3.6 V). Dataset 3 employed Samsung SDI INR18650 25R cells with NCA+NCM/Gr-Si (A nominal capacity of 2.5 Ah, and a nominal voltage of 3.6 V). 

Datasets 1, 2 and 3 consist of 90, 12 and 28 cells respectively. Each dataset consists of cycling data generated by assigning distinct operating profiles---each with a length of up to 1000 cycles and extracted from Markov matrices representing different user groups---to individual cells. During the generation of protocols from the configured Markov matrices, half of the initial cycles for each generated protocol were designated as fast-charging and the other half as slow-charging. These profiles, each consisting of a distinct charging sequence, emulate specific user group charging patterns by alternating between fast and slow charging based on derived probabilistic behavior. 

All cells were tested using a battery cycler (CRC 05-10, Wonik PNE, South Korea) within a temperature-controlled chamber (IL-11, JEIO TECH, South Korea) maintained at 25 °C. Each cell underwent cycles that alternated between fast charging (3C) and slow charging (0.5C), followed by a standardized 1C CC discharge and a 10-minute rest period between charging and discharging. For full-range fast charging, a 3C CC-CV protocol was employed in a SOC range of 2.5−4.2 V with a 20-minute time limit. Dataset 2 employed the same protocol but within a voltage range of 3.2−4.2 V and a shortened time limit of 17 minutes. Similarly, full-range slow charging used a 0.5C CC-CV protocol within 2.5−4.2 V with a 120-minute limit, while Dataset 2 applied in 3.2−4.2 V, limiting the time to 100 minutes. To constrain the SOC range during charging to the MID–HIGH region in Dataset 2, the discharge cut-off voltage was set at 3.2 V, which corresponds to approximately 16.6% SOC under 1C discharge. A diagnostic cycle at a 0.2C (dis)charging was inserted every 30 cycles from BOL for all datasets. Voltage, current, and capacity data were recorded every 10 seconds during each cycle.
DOI: 10.17632/6w446r97d6
title: Supplementary Table 2 for Nemutlu GS, Mercaldo ND, Thayumanavan E, et al BMJ Glob Health 2025

description: Supplementary Table 2 presents estimates from the best model based on BIC. The table has 7917 rows and 14 columns.
DOI: 10.17632/6w446r97d6.2
title: Supplementary Table 2 for Nemutlu GS, Mercaldo ND, Thayumanavan E, et al BMJ Glob Health 2025

description: Supplementary Table 2 presents estimates from the best model based on BIC. The table has 7917 rows and 14 columns.
DOI: 10.6084/m9.figshare.29608625
title: P1BS Motif Finder

description: P1BS Motif Finder app's data
DOI: 10.6084/m9.figshare.29608625.v1
title: P1BS Motif Finder

description: P1BS Motif Finder app's data
DOI: 10.17632/gwwb5x3n8p
title: The Gender Paradox in Comorbidity between Depression and Aggression: A Longitudinal Invariance Analysis in Young Adolescents

description: Metadatos from AMOS program
DOI: 10.17632/gwwb5x3n8p.2
title: The Gender Paradox in Comorbidity between Depression and Aggression: A Longitudinal Invariance Analysis in Young Adolescents

description: Metadatos from AMOS program
DOI: 10.17632/pbp3hp8dxz.1
title: Griffin et al., 2025. Targeted environmental enrichment is more effective than bipedal treadmill training after thoracic spinal cord injury

description: Here contains all of the data that was used for the publication titled: Targeted environmental enrichment is more effective than bipedal treadmill training after thoracic spinal cord injury. The data is seperated into folders corresponding to each figure within the article.
DOI: 10.17632/yg5fgtvxzk.1
title: Alphaherpesvirus promotes viral replication by inducing MDM2-mediated ubiquitination and subsequent degradation of class I histone deacetylases

description: The precise mechanisms by which Alphaherpesviruses alter histone modifications to modulate chromatin structure remain incompletely understood. This study identifies a novel strategy employed by Alphaherpesviruses to disrupt host chromatin regulation: the MDM2-mediated K63-linked polyubiquitination and subsequent proteasomal degradation of class I histone deacetylases. Our findings represent the first demonstration of how Alphaherpesviruses exploit the MDM2-HDAC pathway to subvert host epigenetic control, thereby uncovering a promising target for the development of antiviral therapies against herpesvirus infections.
DOI: 10.17632/2zbvf9bvt9
title: Atypical El Tor Vibrio cholerae from the second major global seventh pandemic cholera wave is endemic in Sabah, Malaysia

description: Cholera, caused by Vibrio cholerae, remains a significant diarrheal disease, especially in coastal regions of developing countries. In Malaysia, cholera is largely non-endemic except in Sabah, which has had recurrent outbreaks accounting for ∼75% of national cases between 2004 and 2014. To understand the origin and transmission of the disease, we sequenced the genomes of clinical isolates of V. cholerae O1 collected during an outbreak in 2019 and 2020. Genotypic analyses revealed that all Sabah isolates were atypical El Tor biotype harboring Classical CTX prophage elements. Notably, the strains carried two tandem CTX prophage copies and three tandem RS1 sequences, including a Classical type rstR, which is atypical for canonical El Tor. Genome comparisons revealed conserved seventh-pandemic genomic islands (VSP-1 and VSP-2) and variably arranged biotype-specific loci, suggesting pandemic-lineage markers and mobile elements linked to environmental adaptation. Phylogenetic reconstruction placed the Sabah strains within wave 2 of the seventh-pandemic clade, forming a distinct subclade with two genotypes, consistent with regional endemicity over the last few decades. Although Wave 3 strains have largely replaced Wave 2 globally, an established population of Wave 2 strains in Southeast Asia suggests that they are more resilient than previously thought.
DOI: 10.17632/2zbvf9bvt9.1
title: Atypical El Tor Vibrio cholerae from the second major global seventh pandemic cholera wave is endemic in Sabah, Malaysia

description: Cholera, caused by Vibrio cholerae, remains a significant diarrheal disease, especially in coastal regions of developing countries. In Malaysia, cholera is largely non-endemic except in Sabah, which has had recurrent outbreaks accounting for ∼75% of national cases between 2004 and 2014. To understand the origin and transmission of the disease, we sequenced the genomes of clinical isolates of V. cholerae O1 collected during an outbreak in 2019 and 2020. Genotypic analyses revealed that all Sabah isolates were atypical El Tor biotype harboring Classical CTX prophage elements. Notably, the strains carried two tandem CTX prophage copies and three tandem RS1 sequences, including a Classical type rstR, which is atypical for canonical El Tor. Genome comparisons revealed conserved seventh-pandemic genomic islands (VSP-1 and VSP-2) and variably arranged biotype-specific loci, suggesting pandemic-lineage markers and mobile elements linked to environmental adaptation. Phylogenetic reconstruction placed the Sabah strains within wave 2 of the seventh-pandemic clade, forming a distinct subclade with two genotypes, consistent with regional endemicity over the last few decades. Although Wave 3 strains have largely replaced Wave 2 globally, an established population of Wave 2 strains in Southeast Asia suggests that they are more resilient than previously thought.
DOI: 10.17632/jm2gcrf66p.1
title: Impact of Root Exudates on Soil Reconstruction and Bacteria Community Resumption in Open‑Pit Coal Mines

description: This study selected Medicago sativa, a pioneer herbaceous reclamation plant, as the experimental subject to investigate the functions of root secretion improvement and microbial regulation. The experimental test data include soil fertility indicators, soil bacterial community composition, plant root morphology indicators, and biomass, etc.
DOI: 10.15468/dl.gtfwas
title: Occurrence Download

description: A dataset containing 17 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sundanella sibogae",
 "Country is United States of America",
 "HasCoordinate is true"
 ]
}

 The dataset includes 17 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021178-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/kd5w2pgw5t
title: Strain Localization Increases Repeating Earthquakes: Mechanical and AE Data

description: Laboratory Data Analyzed in GJI: "Strain Localization Increases Repeating Earthquakes: Perspective from Laboratory Seismicity".
DOI: 10.17632/kd5w2pgw5t.1
title: Strain Localization Increases Repeating Earthquakes: Mechanical and AE Data

description: Laboratory Data Analyzed in GJI: "Strain Localization Increases Repeating Earthquakes: Perspective from Laboratory Seismicity".
DOI: 10.15468/dl.ap7us8
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Cebus apella)",
 "Country is one of (Åland Islands, Albania, Andorra, Austria, Belarus, Belgium, Bosnia and Herzegovina, Bulgaria, Croatia, Czechia, Denmark, Estonia, Faroe Islands, Finland, France, Germany, Gibraltar, Greece, Guernsey, Holy See, Hungary, Iceland, Ireland, Isle of Man, Italy, Jersey, Latvia, Liechtenstein, Lithuania, Luxembourg, Malta, Moldova, Republic of, Monaco, Montenegro, Netherlands, North Macedonia, Norway, Poland, Portugal, Romania, Russian Federation, San Marino, Serbia, Slovakia, Slovenia, Spain, Svalbard and Jan Mayen, Sweden, Switzerland, Ukraine, United Kingdom of Great Britain and Northern Ireland)"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021179-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/xd8jbrjk4z
title: Locating the missing Rarotonga hotspot in the Cook Islands

description: This dataset includes petrographic descriptions, whole-rock geochemical data (major, trace, and radiogenic isotopes), zircon U–Pb and trace element analyses, ⁴⁰Ar/³⁹Ar geochronology, and olivine fractionation modeling for volcanic samples from Tama Seamount.
DOI: 10.17632/xd8jbrjk4z.1
title: Locating the missing Rarotonga hotspot in the Cook Islands

description: This dataset includes petrographic descriptions, whole-rock geochemical data (major, trace, and radiogenic isotopes), zircon U–Pb and trace element analyses, ⁴⁰Ar/³⁹Ar geochronology, and olivine fractionation modeling for volcanic samples from Tama Seamount.
DOI: 10.17632/hdvsw62w5r
title: RESPAN Example Datasets and Results

description: Five example neuron datasets acquired with a Yokogawa W1 spinning disk confocal mounted on a Nikon Ti2 inverted microscope controlled with NIS-Elements. Images were acquired with a 100× 1.35 NA SR HP Plan Apo silicone immersion objective and a Prime BSI sCMOS camera (Teledyne Photometerics), resulting in pixel size of 65nm and a z-step size of 150nm.
Example expected results from RESPAN processing are also included.
DOI: 10.17632/hdvsw62w5r.3
title: RESPAN Example Datasets and Results

description: Five example neuron datasets acquired with a Yokogawa W1 spinning disk confocal mounted on a Nikon Ti2 inverted microscope controlled with NIS-Elements. Images were acquired with a 100× 1.35 NA SR HP Plan Apo silicone immersion objective and a Prime BSI sCMOS camera (Teledyne Photometerics), resulting in pixel size of 65nm and a z-step size of 150nm.
Example expected results from RESPAN processing are also included.
DOI: 10.15468/dl.mkx8a6
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Cebus apella)",
 "Country is one of (American Samoa, Australia, Christmas Island, Cocos (Keeling) Islands, Cook Islands, Fiji, French Polynesia, Guam, Heard Island and McDonald Islands, Kiribati, Marshall Islands, Micronesia (Federated States of), Nauru, New Caledonia, New Zealand, Niue, Norfolk Island, Northern Mariana Islands, Palau, Papua New Guinea, Pitcairn, Samoa, Solomon Islands, Tokelau, Tonga, Tuvalu, United States Minor Outlying Islands, Vanuatu, Wallis and Futuna)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021181-250717081556266/datasets/export for details.
DOI: 10.15468/dl.q9cury
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Cebus apella)",
 "Country is one of (Algeria, Angola, Benin, Botswana, British Indian Ocean Territory, Burkina Faso, Burundi, Cabo Verde, Cameroon, Central African Republic, Chad, Comoros, Congo, Congo, Democratic Republic of the, Côte d’Ivoire, Djibouti, Egypt, Equatorial Guinea, Eritrea, Eswatini, Ethiopia, French Southern Territories, Gabon, Gambia, Ghana, Guinea, Guinea-Bissau, Kenya, Lesotho, Liberia, Libya, Madagascar, Malawi, Mali, Mauritania, Mauritius, Mayotte, Morocco, Mozambique, Namibia, Niger, Nigeria, Réunion, Rwanda, Saint Helena, Ascension and Tristan da Cunha, Sao Tome and Principe, Senegal, Seychelles, Sierra Leone, Somalia, South Africa, South Sudan, Sudan, Tanzania, United Republic of, Togo, Tunisia, Uganda, Western Sahara, Zambia, Zimbabwe)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021182-250717081556266/datasets/export for details.
DOI: 10.17632/vwp4wz8hcx
title: Supplemental Material for "National Trends in Treatments and Outcomes for Dermatofibrosarcoma Protuberans: An Analysis of the National Cancer Database"

description: Supplementary Table 1. Multivariable Multinomial Logistic Regression Adjusted Odds Ratios for MMS and Other Surgery Versus WLE.
DOI: 10.17632/vwp4wz8hcx.1
title: Supplemental Material for "National Trends in Treatments and Outcomes for Dermatofibrosarcoma Protuberans: An Analysis of the National Cancer Database"

description: Supplementary Table 1. Multivariable Multinomial Logistic Regression Adjusted Odds Ratios for MMS and Other Surgery Versus WLE.
DOI: 10.15468/dl.p8r7n2
title: Occurrence Download

description: A dataset containing 42499 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Melia azedarach, Melia argentea, Melia birmanica, Melia florida, Melia azedarach biglandulosa, Melia australis, Melia angustifolia, Melia azedarach albiflora, Melia azedarach umbraculifera, Azedarach sempervirens incisodentata, Melia candollei, Melia sambucina, Melia toosendan, Melia composita, Melia composita cochinchinensis, Azedarach sempervirens subdentata, Melia arguta, Melia dubia, Melia japonica semperflorens, Azedarach vulgaris, Melia flaccida, Melia azedarach squamulosa, Melia commelini, Melia azedarach intermedia, Melia commelini, Azedaraca amena, Melia azedarach acuminatissima, Melia bukayun, Melia argentea, Melia composita, Melia bombolo, Azedarach deleteria, Melia robusta, Melia guineensis, Azedarach odoratum, Azedarach sempervirens longifoliola, Melia aethiopica, Melia cochinchinensis, Azedarach commelinii, Melia azedarach javanica, Melia australasica, Azedarach fraxinifolia, Melia azedarach incisa, Melia azedarach glandulosa, Melia azedarach subtripinnata, Melia robusta, Antelaea javanica, Melia chinensis, Melia composita biglandulosa, Melia hasskarlii, Melia javanica, Azedara speciosa, Melia orientalis, Melia superba, Melia flaccida, Melia chinensis, Melia floribunda, Melia japonica albicans, Melia azedarach umbraculiformis, Melia azedarach glabrior, Melia azedarach sempervirens, Melia azedarach umbraculifera, Melia japonica, Melia bogoriensis, Melia azedarach umbraculifera, Melia azedarach sambucina, Melia azedarach toosendan, Melia azedarach cochinchinensis, Azedarach sempervirens dubia, Azedarach sempervirens australasica, Melia azedarach australasica, Melia azedarach biglandulosa, Melia azedarach floribunda, Azedarach sempervirens glabrior, Melia sempervirens, Azedarach sempervirens, Melia sempervirens, Melia azedarach japonica)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2000"
 ]
}

 The dataset includes 42499 records from 370 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021180-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/xdtwv2v863
title: Single-stranded DNA binding proteins are essential components of the architectural LDB1 protein complex

description: Figure 2 and Figure S2A-C gel images are in TIFF and CVX formats (contributed by Ying Cai). All other gel images are in TIFF format (contributed by Xiaokang Wang).