cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.15065196
title: Ciona tail regression_genotype_Ano5 (KH.C8.274)_video5 (part2)

description: Video that was collected using Ciona Tracker 2.0 as part of Liang et al 2025. Animals included in this video are Ano5 mutants used in CRISPR/Cas9 experiments addressing the role of Ano5 and Ano6 in Ciona sensory perception.
DOI: 10.5281/zenodo.15065197
title: Ciona tail regression_genotype_Ano5 (KH.C8.274)_video5 (part2)

description: Video that was collected using Ciona Tracker 2.0 as part of Liang et al 2025. Animals included in this video are Ano5 mutants used in CRISPR/Cas9 experiments addressing the role of Ano5 and Ano6 in Ciona sensory perception.
DOI: 10.17632/mdsy8xj4hf.1
title: How Enabling Safe Environments Enhances Organizational Creative Performance through Responsible Leadership Practices

description: Dataset for Psychological Safety, Creative Deviance and Creative performance Behaviors.
DOI: 10.15468/dl.h9vn63
title: Occurrence Download

description: A dataset containing 50855 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((11.54611 45.9179,12.32145 45.9179,12.32145 46.29325,11.54611 46.29325,11.54611 45.9179))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 50855 records from 159 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020637-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15064788
title: Stromertragsberechnung
DOI: 10.5281/zenodo.15064789
title: Stromertragsberechnung
DOI: 10.15468/dl.b5ebgx
title: Occurrence Download

description: A dataset containing 734 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Italy",
 "OccurrenceStatus is Present",
 "TaxonKey is Salmo trutta Linnaeus, 1758"
 ]
}

 The dataset includes 734 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020655-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.c95wk7
title: Occurrence Download

description: A dataset containing 65 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Nepal, Bhutan)",
 "TaxonKey is Quercus glauca Thunb."
 ]
}

 The dataset includes 65 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020657-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/48xpyspcdk.1
title: Drought stress from relative humidity control induces nutrient starvation stress

description: Autophagy contributes to the maintenance of life by degrading and removing proteins and organelles damaged by various environmental stresses. Autophagy-deficient (atg) mutants are known to be sensitive to environmental stresses, such as oxidative stress. In Physcomitrium, atg mutants exhibit greater sensitivity to nutrient starvation (carbon, nitrogen, and phosphate) compared to wild-type (WT). Furthermore, when Physcomitrium is incubated in the dark, chlorophyll is degraded, leading to decolorization, indicating that atg mutants are sensitive not only to nutrient starvation but also to darkness. In this study, we focused on drought stress, which plants frequently experience in their natural environment, and examined the response of atg mutants in Physcomitrium under drought stress conditions of 13% relative humidity (RH) using LiCl and 43% RH using K₂CO₃. Immediately after exposure to drought stress, both WT and atg mutants retained their green color under 13% RH; however, atg mutants faded under 43% RH. This difference may be attributed to reduced intracellular metabolic activity and suppressed chlorophyll degradation under 13% RH, whereas chlorophyll degradation was enhanced under 43% RH. These findings suggest that nutrient starvation stress should be considered even under mild drought conditions, such as 43% RH.
DOI: 10.17632/48xpyspcdk.2
title: Drought stress from relative humidity control induces nutrient starvation stress

description: Autophagy contributes to the maintenance of life by degrading and removing proteins and organelles damaged by various environmental stresses. Autophagy-deficient (atg) mutants are known to be sensitive to environmental stresses, such as oxidative stress. In Physcomitrium, atg mutants exhibit greater sensitivity to nutrient starvation (carbon, nitrogen, and phosphate) compared to wild-type (WT). Furthermore, when Physcomitrium is incubated in the dark, chlorophyll is degraded, leading to decolorization, indicating that atg mutants are sensitive not only to nutrient starvation but also to darkness. In this study, we focused on drought stress, which plants frequently experience in their natural environment, and examined the response of atg mutants in Physcomitrium under drought stress conditions of 13% relative humidity (RH) using LiCl and 43% RH using K₂CO₃. Immediately after exposure to drought stress, both WT and atg mutants retained their green color under 13% RH; however, atg mutants faded under 43% RH. This difference may be attributed to reduced intracellular metabolic activity and suppressed chlorophyll degradation under 13% RH, whereas chlorophyll degradation was enhanced under 43% RH. These findings suggest that nutrient starvation stress should be considered even under mild drought conditions, such as 43% RH.
DOI: 10.17632/rf4pwvf5xj
title: A Survey of Design Students' Intention to Use Artificial Intelligence-Assisted Drawing Tools

description: A survey study of a total of 281 design students from three universities was conducted to quantify the questions using a 7-point Likert scale
DOI: 10.17632/rf4pwvf5xj.1
title: A Survey of Design Students' Intention to Use Artificial Intelligence-Assisted Drawing Tools

description: A survey study of a total of 281 design students from three universities was conducted to quantify the questions using a 7-point Likert scale
DOI: 10.17632/vjg8xm4h5m.1
title: Datasets on changes in root secretions and soil-microbial interaction in response to phosphorus level stress

description: This dataset includes the measured values of root secretome components, root shapes, soil physical and chemical properties, and changes in the soil microbial community caused by different phosphorus stress levels in three growing environments: hydroponics, soil-based cultivation, and field cultivation. It also has related extra materials.
DOI: 10.15468/dl.4xku5d
title: Occurrence Download

description: A dataset containing 75 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dalbulus maidis (DeLong, 1923)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 75 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020658-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/jgpmrmmz8t.1
title: attachment anxious and PUCAI

description: This study aimed to examine the relationship between attachment anxiety and problematic use of conversational artificial intelligence (PUCAI) and its intrinsic mechanisms -- the mediating effect of emotional attachment and the moderating effect of anthropomorphic tendencies. Using scales for attachment anxiety, emotional attachment, anthropomorphic tendency, and PUCAI, we conducted a study involving 504 adults. The results indicate that (1) attachment anxiety positively predicts PUCAI; (2) anthropomorphic tendencies moderate the relationship between attachment anxiety and PUCAI; and (3) this moderation is partly realized through the mediating variable of emotional attachment. This study reveals the mechanisms underlying the relationship between attachment anxiety and PUCAI, highlights individual differences, and provides a new perspective for preventing and controlling addictive behaviors in individuals with attachment anxiety.
DOI: 10.17632/jgpmrmmz8t.2
title: Data_Rachel submitted

description: This is a dataset about how conversational artificial intelligence attracts individuals with attachment anxiety and makes them addicted. It provides all the content generated in this study, as well as the literature data used in the charts of the manuscript.
DOI: 10.17632/yxd96pnmbv.1
title: Chromatography Files of the Complete Mitochondrial Genome of Austrapoda dentatus (Lepidoptera: Limacodidae)

description: This dataset contains chromatography files from Sanger sequencing results for the complete mitochondrial genome assembly of Austrapoda dentatus (Lepidoptera: Limacodidae)
DOI: 10.15468/dl.tx8997
title: Occurrence Download

description: A dataset containing 119 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "TaxonKey is Pseudosuccinea columella (Say, 1817)"
 ]
}

 The dataset includes 119 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020659-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qvmszv
title: Occurrence Download

description: A dataset containing 178040 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "TaxonKey is Lonicera L."
 ]
}

 The dataset includes 178040 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020647-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/fn9n95bsh5.1
title: iWeek: A Week-Long Social Media Abstinence Intervention and its Impact on Well-Being, Mental Health, Body Image, and Sleep in Latina College Students

description: The study assessed the effects of a social media break intervention grounded in Self-Determination Theory on depression, anxiety, stress, well-being, body image, and sleep. A total of six 2 (pre, post) X 2 (iWeek, control) mixed ANOVAs assessed changes in pre- and post-intervention scores on each outcome variable for iWeek compared to the control condition. Results indicated improvements to depression, anxiety, stress, body image, and sleep among the intervention group. No significant effects were observed for well-being.
DOI: 10.5281/zenodo.15065206
title: Dataset for the article "A descriptor-free machine learning framework to improve antigen discovery for bacterial pathogens"

description: Dataset for the article "A descriptor-free machine learning framework to improve antigen discovery for bacterial pathogens"

The data used in the study are provided as a .zip file

Once unzipped, the raw data in FASTA format will be located in the following folders:

data/fasta├── benchmark│   ├── test│   │   └── test.fasta      # test sequences for benchmark│   └── training│       ├── negative.fasta  # non-PA sequences for benchmark│       └── positive.fasta  # PA-sequences for benchmark└── lobo    ├── negative.fasta      # non-PA sequences for LOBO evaluation    └── positive.fasta      # PA sequences for LOBO evaluation

The annotated sequences used in the experiments (and the corresponding PSE/descriptors) are stored in .parquet format. They can be loaded with python as follows (please note that parquet files need the pandas and pyarrow libraries installed to be loaded):

import pandas as pd

example_path = "data/descriptors/lobo/test/UP000000425.parquet"df = pd.read_parquet(example_path)

Here is the annotated sequences folder structure:

data├── descriptors│   └── lobo│       ├── test  # Descriptors for candidate antigen selection│       │   ├── UP000000425.parquet  # N. meningitidis│       │   ├── UP000000586.parquet  # S. pneumoniae│       │   ├── UP000000625.parquet  # E. coli│       │   ├── UP000000750.parquet  # S. pyogenes│       │   ├── UP000000799.parquet  # C. jejuni│       │   ├── UP000000800.parquet  # C. muridarum│       │   ├── UP000001432.parquet  # A. pleuropneumoniae│       │   ├── UP000001584.parquet  # M. tuberculosis│       │   ├── UP000006386.parquet  # S. aureus│       │   └── UP000326807.parquet  # Y. pestis│       └── training│           ├── negative.parquet     # non-PA descriptors for LOBO│           └── positive.parquet     # PA descriptors for LOBO└── pses    ├── benchmark    │   ├── test    │   │   └── test.parquet         # test PSEs for benchmark    │   └── training    │       ├── negative.parquet     # non-PA PSEs for benchmark    │       └── positive.parquet     # PA PSEs for benchmark    └── lobo        ├── test  # PSEs for candidate antigen selection        │   ├── UP000000425.parquet  # N. meningitidis        │   ├── UP000000586.parquet  # S. pneumoniae        │   ├── UP000000625.parquet  # E. coli        │   ├── UP000000750.parquet  # S. pyogenes        │   ├── UP000000799.parquet  # C. jejuni        │   ├── UP000000800.parquet  # C. muridarum        │   ├── UP000001432.parquet  # A. pleuropneumoniae        │   ├── UP000001584.parquet  # M. tuberculosis        │   ├── UP000006386.parquet  # S. aureus        │   └── UP000326807.parquet  # Y. pestis        └── training            ├── negative.parquet     # non-PA PSEs for LOBO            └── positive.parquet     # non-PA PSEs for LOBO
DOI: 10.5281/zenodo.15065207
title: Dataset for the article "A descriptor-free machine learning framework to improve antigen discovery for bacterial pathogens"

description: Dataset for the article "A descriptor-free machine learning framework to improve antigen discovery for bacterial pathogens"

The data used in the study are provided as a .zip file

Once unzipped, the raw data in FASTA format will be located in the following folders:

data/fasta├── benchmark│   ├── test│   │   └── test.fasta      # test sequences for benchmark│   └── training│       ├── negative.fasta  # non-PA sequences for benchmark│       └── positive.fasta  # PA-sequences for benchmark└── lobo    ├── negative.fasta      # non-PA sequences for LOBO evaluation    └── positive.fasta      # PA sequences for LOBO evaluation

The annotated sequences used in the experiments (and the corresponding PSE/descriptors) are stored in .parquet format. They can be loaded with python as follows (please note that parquet files need the pandas and pyarrow libraries installed to be loaded):

import pandas as pd

example_path = "data/descriptors/lobo/test/UP000000425.parquet"df = pd.read_parquet(example_path)

Here is the annotated sequences folder structure:

data├── descriptors│   └── lobo│       ├── test  # Descriptors for candidate antigen selection│       │   ├── UP000000425.parquet  # N. meningitidis│       │   ├── UP000000586.parquet  # S. pneumoniae│       │   ├── UP000000625.parquet  # E. coli│       │   ├── UP000000750.parquet  # S. pyogenes│       │   ├── UP000000799.parquet  # C. jejuni│       │   ├── UP000000800.parquet  # C. muridarum│       │   ├── UP000001432.parquet  # A. pleuropneumoniae│       │   ├── UP000001584.parquet  # M. tuberculosis│       │   ├── UP000006386.parquet  # S. aureus│       │   └── UP000326807.parquet  # Y. pestis│       └── training│           ├── negative.parquet     # non-PA descriptors for LOBO│           └── positive.parquet     # PA descriptors for LOBO└── pses    ├── benchmark    │   ├── test    │   │   └── test.parquet         # test PSEs for benchmark    │   └── training    │       ├── negative.parquet     # non-PA PSEs for benchmark    │       └── positive.parquet     # PA PSEs for benchmark    └── lobo        ├── test  # PSEs for candidate antigen selection        │   ├── UP000000425.parquet  # N. meningitidis        │   ├── UP000000586.parquet  # S. pneumoniae        │   ├── UP000000625.parquet  # E. coli        │   ├── UP000000750.parquet  # S. pyogenes        │   ├── UP000000799.parquet  # C. jejuni        │   ├── UP000000800.parquet  # C. muridarum        │   ├── UP000001432.parquet  # A. pleuropneumoniae        │   ├── UP000001584.parquet  # M. tuberculosis        │   ├── UP000006386.parquet  # S. aureus        │   └── UP000326807.parquet  # Y. pestis        └── training            ├── negative.parquet     # non-PA PSEs for LOBO            └── positive.parquet     # non-PA PSEs for LOBO
DOI: 10.17632/gkr667jvhx.1
title: CrowNet: a trail-camera canopy monitoring system

description: The dataset reported data from CrowNet (https://canopyphotography.wordpress.com/crownet), a collaborative monitoring network , based on acquiring below-canopy continuous images using the time-lapse feature of standard digital trail cameras. Data were acquired in 20 forest stands in Italy under different management and environmental conditions, resulting in over 44,000 daily images collected over three years.
DOI: 10.15468/dl.nsb6mf
title: Occurrence Download

description: A dataset containing 17 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Cattleya mossiae C.Parker ex Hook."
 ]
}

 The dataset includes 17 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020663-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5066/p90df8ke
title: Lake Ontario April Prey Fish Bottom Trawl Survey, 1997-2021

description: This data release includes Lake Ontario prey fish data including species captured, relative abundance, spatial distribution, size structure, and age data from the April or spring prey fish bottom trawl survey, 1997 and 2021. Data from 1997 - 2015 are from U.S. waters of Lake Ontario while data from 2016 - 2021 include both U.S. and Canadian waters of Lake Ontario. Details about the vessel and gear descriptions, sampling protocols, and catch processing protocols can be found in the Process sections of this metadata. Portions of this data release follows the data model of the USGS Great Lakes Science Center Research Vessel Catalog (RVCAT). The trawl data included in this data release are a subset of the larger RVCAT data base. We note the data included at the time of this release were not yet available in the overall RVCAT data release. The RVCAT data can be found here: https://doi.org/10.5066/F75M63X0.
DOI: 10.17632/mwmbrfz6sd.1
title: Analysis scRNAseq mouse SVZ

description: We selected previously published single-cell RNA sequencing datasets of mouse SVZ NSCs that used different common NSC markers for their isolation. The following datasets were used:
Dulken et al., Cell Reports 2017 Accession number: PRJNA324289
Hamed et al., Nature Communications 2022 GEO: GSE200202
Kalamakis et al., Cell 2019 GEO: GSE115626
Mizrak et al., Cell Reports 2020 GEO: GSE134918
Xie et al., PNAS 2020 GEO: GSE107220
Analysis was performed on R studio, using Seurat. For the full description of the methodology please see Apostolou S Stem Cell Reports 2025. Please cite Apostolou S et al., Stem Cell Reports 2025 when using this data.
DOI: 10.17632/ztxbdzhdws.1
title: Dataset for deposit rural banks in Indonesia

description: The raw dataset comprises deposit-related information from Indonesian rural banks, covering the period 2021 to 2024. Obtained from official banking reports, the dataset includes 608 weekly observations across four depositor categories: corporate, rural banks (BPR), high-net-worth individuals (HNWI), and retail.
DOI: 10.17632/ztxbdzhdws.2
title: Dataset for deposit rural banks in Indonesia

description: The raw dataset comprises deposit-related information from Indonesian rural banks, covering the period 2021 to 2024. Obtained from official banking reports, the dataset includes 608 weekly observations across four depositor categories: corporate, rural banks (BPR), high-net-worth individuals (HNWI), and retail.
DOI: 10.15468/dl.vryj8y
title: Occurrence Download

description: A dataset containing 67948 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "TaxonKey is Cyanocorax chrysops (Vieillot, 1818)"
 ]
}

 The dataset includes 67948 records from 75 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020646-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ppq65v
title: Occurrence Download

description: A dataset containing 1545 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "RecordedBy is Muñoz Capilla"
 ]
}

 The dataset includes 1545 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020664-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/k8rfg5c4vj.1
title: Reported eumycetoma cases in solid organ transplant recipients

description: This dataset summarizes the reported eumycetoma cases in solid organ transplant recipients, taking into account the diagnostic certainty (confirmed or suspected eumycetoma vs. undifferentiated subcutaneous lesions).
DOI: 10.6084/m9.figshare.28575680
title: Main Table

description: <b>Table 1: List of novel mutations identified from LSDV field strains from India sampled during 2022-2023.</b> The genotype of the mutations along with the genomic positions and genes affected are tabulated. The frequency column indicates the number of samples in which the mutation was detected, in a total of 41 samples.<b>Main Table-</b>Gene_ID - Annotated gene ID in LSDV reference genome NC_003027.1; Position - Nucleotide position in the reference genome; REF - Reference genotype; ALT - Altered genotype in Sample; Frequency - Number of samples with altered genotype out of 41 samples.Colour coding in Gene ID column indicates gene function: Brown - Viral virulence and host range; Blue - DNA replication and nucleotide metabolism; Maroon - RNA transcription and modification; Silver - Structure and assembly functions; White - Unknown function; N/A - Intergenic region.Colour coding in Position, REF & ALT columns indicate mutation type: Red - Non-synonymous; Yellow - Indels; Green - Synonymous. Border colour: Black - frameshift; Blue - inframe indel.
DOI: 10.15468/dl.f7rcfa
title: Occurrence Download

description: A dataset containing 441 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dexiogyia corticina (Erichson, 1837)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 441 records from 64 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020665-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.c3wndb
title: Occurrence Download

description: A dataset containing 55005 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Towson University"
 ]
}

 The dataset includes 55005 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020660-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/p8yvz2skkk.1
title: The dataset of waste management valuation in Japan

description: These files are STATA files for the waste reduction questionnaire data in Japan.