cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/fnbh4sxm9w
title: Effects of Photoperiods on the Pigment Composition in Marine Diatom Phaeodactylum tricornutum

description: Diatoms are crucial photoautotrophic phytoplankton, playing a vital role in marine ecosystems due to their efficient photosynthesis and ability to adapt to fluctuating light environments. The light adaptation of diatoms is primarily regulated by pigments, which not only form light-harvesting complexes but also participate in photoprotective mechanisms. Light-dark (LD) cycles are key environmental factors regulating diatom physiology. In recent years, the antioxidant, UV-protective, and anti-inflammatory properties of diatom pigments have been increasingly recognized, highlighting their growing application value. Understanding how diatoms regulate pigment biosynthesis under different LD cycles is crucial for both theoretical and applied research. In this study, the model diatom Phaeodactylum tricornutum was used to investigate the regulation of pigment synthesis under different LD cycles (LD 24:0, LD 16:8, LD 12:12, LD 8:16, LD 4:2, LD 2:2, and LD 2:4). Physiological responses, including growth rate, pigment composition, photosynthetic parameters, and elemental composition, were assessed alongside transcriptomic analysis. The results demonstrated that intermittent light enhanced growth rate to some extent, with peak pigment content observed under the LD 2:2 condition. Additionally, intermittent light increased the ratio of photosynthetic to photoprotective pigments while reducing the de-epoxidation level of diadinoxanthin. Pigment composition exhibited phase-specific variations: chlorophyll a dominated in the exponential phase, while fucoxanthin increased in the stationary phase. Photosynthetic parameters indicated higher efficiency under intermittent light, while the LD 24:0 group exhibited the lowest values. Transcriptomic analysis revealed that moderate-length LD cycles (LD 2:2 and LD 12:12) significantly upregulated genes involved in carotenoid biosynthesis, chlorophyll biosynthesis, and light-harvesting complex proteins. This study offers theoretical support for understanding diatom light adaptation strategies and their application research.
DOI: 10.17632/fnbh4sxm9w.1
title: Effects of Photoperiods on the Pigment Composition in Marine Diatom Phaeodactylum tricornutum

description: Diatoms are crucial photoautotrophic phytoplankton, playing a vital role in marine ecosystems due to their efficient photosynthesis and ability to adapt to fluctuating light environments. The light adaptation of diatoms is primarily regulated by pigments, which not only form light-harvesting complexes but also participate in photoprotective mechanisms. Light-dark (LD) cycles are key environmental factors regulating diatom physiology. In recent years, the antioxidant, UV-protective, and anti-inflammatory properties of diatom pigments have been increasingly recognized, highlighting their growing application value. Understanding how diatoms regulate pigment biosynthesis under different LD cycles is crucial for both theoretical and applied research. In this study, the model diatom Phaeodactylum tricornutum was used to investigate the regulation of pigment synthesis under different LD cycles (LD 24:0, LD 16:8, LD 12:12, LD 8:16, LD 4:2, LD 2:2, and LD 2:4). Physiological responses, including growth rate, pigment composition, photosynthetic parameters, and elemental composition, were assessed alongside transcriptomic analysis. The results demonstrated that intermittent light enhanced growth rate to some extent, with peak pigment content observed under the LD 2:2 condition. Additionally, intermittent light increased the ratio of photosynthetic to photoprotective pigments while reducing the de-epoxidation level of diadinoxanthin. Pigment composition exhibited phase-specific variations: chlorophyll a dominated in the exponential phase, while fucoxanthin increased in the stationary phase. Photosynthetic parameters indicated higher efficiency under intermittent light, while the LD 24:0 group exhibited the lowest values. Transcriptomic analysis revealed that moderate-length LD cycles (LD 2:2 and LD 12:12) significantly upregulated genes involved in carotenoid biosynthesis, chlorophyll biosynthesis, and light-harvesting complex proteins. This study offers theoretical support for understanding diatom light adaptation strategies and their application research.
DOI: 10.17632/6h5kg4g989
title: Performance attributes of new energy vehicles.

description: This dataset proposes a new energy vehicle procurement decision-making framework that integrates data mining and social network group decision-making in an intuitive fuzzy environment. This dataset proposes a new energy vehicle procurement decision-making framework that integrates data mining and social network group decision-making in an intuitive fuzzy environment. These data were crawled through the API provided by the Sina Weibo Open Platform (https://weibo.com). The crawling time range was from December 1 to 31, 2024, and a total of 87,673 online blog posts about new energy vehicle performance were obtained, aiming to gain a preliminary understanding of the popular evaluation attributes on social media as a reference for NEVs performance evaluation. To ensure the standardization and high quality of the text content, we performed strict data preprocessing on the original text. Specific measures include removing URL links, special symbols, and redundant spaces. In order to avoid the interference of high-frequency meaningless words on the results, we used the stop word list of CNStopwords for filtering. After the above preprocessing, we initially extracted the top ten high-frequency performance attribute feature words, which directly reflect the main concerns of social media users on NEVs.
DOI: 10.17632/6h5kg4g989.3
title: Performance attributes of new energy vehicles.

description: This dataset proposes a new energy vehicle procurement decision-making framework that integrates data mining and social network group decision-making in an intuitive fuzzy environment. This dataset proposes a new energy vehicle procurement decision-making framework that integrates data mining and social network group decision-making in an intuitive fuzzy environment. These data were crawled through the API provided by the Sina Weibo Open Platform (https://weibo.com). The crawling time range was from December 1 to 31, 2024, and a total of 87,673 online blog posts about new energy vehicle performance were obtained, aiming to gain a preliminary understanding of the popular evaluation attributes on social media as a reference for NEVs performance evaluation. To ensure the standardization and high quality of the text content, we performed strict data preprocessing on the original text. Specific measures include removing URL links, special symbols, and redundant spaces. In order to avoid the interference of high-frequency meaningless words on the results, we used the stop word list of CNStopwords for filtering. After the above preprocessing, we initially extracted the top ten high-frequency performance attribute feature words, which directly reflect the main concerns of social media users on NEVs.
DOI: 10.17632/gbwgtb9k27
title: Ye_2025_GCA_Data

description: This file contains the following data for Ye et al. 2025 study.
Table. S1 Sampling information for South China granites
Table. S2 Major and trace element compositions of the granites in the South China and South Tibet from this study
Table. S3 Major and trace element compositions of the granites in the South China and South Tibet (compiled from literatures)
Table. S4 Zircon trace element composition
Table. S5 Zircon oxygen isotope data
Table. S6 Compositions of the granites in the South China (SiO2&lt;=70 wt. %)
DOI: 10.17632/gbwgtb9k27.2
title: Ye_2025_GCA_Data

description: This file contains the following data for Ye et al. 2025 study.
Table. S1 Sampling information for South China granites
Table. S2 Major and trace element compositions of the granites in the South China and South Tibet from this study
Table. S3 Major and trace element compositions of the granites in the South China and South Tibet (compiled from literatures)
Table. S4 Zircon trace element composition
Table. S5 Zircon oxygen isotope data
Table. S6 Compositions of the granites in the South China (SiO2&lt;=70 wt. %)
DOI: 10.17632/nxbp9nnzfk
title: Saliva Gas Analysis

description: Saliva, a readily accessible biofluid, contains volatile organic compounds (VOCs) that reflect metabolic activity and can be indicative of underlying health conditions. Saliva contains a variety of biomarkers, including DNA, RNA, proteins, enzymes, hormones, and metabolites, making it a valuable and non-invasive sample for medical diagnostics. This paper describes creation of a comprehensive dataset of saliva gas samples from individuals with various diseases (e.g., Gastrointestinal Disorders, kidney functioning, oral health) and healthy controls. Utilizing advanced analytical techniques such as gas chromatography-mass spectrometry (GC-MS), the dataset is intended capture the unique VOC profiles and gases associated with diseases related to gastro intestine, liver diabetic, oral health etc. The dataset includes the test results of conductivity, gases released by saliva sample namely, oxygen, methane, ammonia. This resource will facilitate the development and validation of non-invasive, rapid, and cost-effective saliva-based breath tests for early disease detection and personalized medicine.
DOI: 10.17632/nxbp9nnzfk.1
title: Saliva Gas Analysis

description: Saliva, a readily accessible biofluid, contains volatile organic compounds (VOCs) that reflect metabolic activity and can be indicative of underlying health conditions. Saliva contains a variety of biomarkers, including DNA, RNA, proteins, enzymes, hormones, and metabolites, making it a valuable and non-invasive sample for medical diagnostics. This paper describes creation of a comprehensive dataset of saliva gas samples from individuals with various diseases (e.g., Gastrointestinal Disorders, kidney functioning, oral health) and healthy controls. Utilizing advanced analytical techniques such as gas chromatography-mass spectrometry (GC-MS), the dataset is intended capture the unique VOC profiles and gases associated with diseases related to gastro intestine, liver diabetic, oral health etc. The dataset includes the test results of conductivity, gases released by saliva sample namely, oxygen, methane, ammonia. This resource will facilitate the development and validation of non-invasive, rapid, and cost-effective saliva-based breath tests for early disease detection and personalized medicine.
DOI: 10.17632/gt7j39b2cf.1
title: Complex competition interactions between Egyptian fruit bats and black rats in the real world

description: Research Hypothesis: We hypothesized that bats perceive rats not merely as competitors for food, but as a significant predation risk. We predicted that this perceived risk would lead to distinct anti-predator behaviors (e.g., avoidance, increased vigilance) in bats when rats are present, differing from their behavior in the presence of only other bats (conspecifics). Furthermore, we hypothesized that these interactions would be dynamic, shifting with seasonal changes in resource availability and predator-prey encounter rates.

Predation Risk vs. Competition: When rats were present, bats significantly reduced their landing rate on the food platform. For the landings that did occur, bats exhibited significantly higher vigilance (longer scanning durations before feeding) and had lower foraging success compared to when only other bats were present. This suggests the bats' response is driven by predation fear, not just competition.

Behavioral Plasticity: The data reveals a remarkable seasonal shift in bat behavior. In winter, when alternative food sources were scarce and rat encounters were infrequent, bats primarily adopted a risk-averse strategy of avoidance. In spring, when food was more abundant and rat encounters were common, bats shifted towards a more confrontational strategy, including actively attacking rats to gain access to food.


2. Description of Data and Code Files
The data was collected over a seven-month period (December 2017 - May 2018) in a semi-natural, open bat colony with a provisioned food platform. Interactions were monitored using surveillance video cameras.

Description: This file contains the core behavioral data for individual bat landing events. Each row represents a single landing by a bat on the food platform and details the context and the bat's subsequent behaviors. 

Data Gathering for the table "data_rat_and_bat_duration.csv": Bat landings were manually detected from video. The behavioral variables (e.g., vigilance, foraging success) for each landing were then manually annotated and quantified from the video recordings.

Data Gathering for the table "data_rat_arrival_number_30min.csv": Rat arrivals were manually annotated from video footage. The number of unique arrival events was then summed for each 30-minute interval of each night. Data on food depletion was estimated based on bat feeding activity.

Description: These two MATLAB scripts contain the code used to perform the statistical modeling and AIC-based model selection for Table 2 and Table 4 in the manuscript.

GLM_rat_arrival_number.m: Performs a GLM with a Poisson distribution to model the factors influencing the number of rat arrivals (data_rat_arrival_number_30min.csv).

GLM_food_risk.m: Performs a logistic regression (a GLM with a binomial distribution) to model the factors influencing bat foraging success in the presence of a rat (data_rat_and_bat_duration.csv).
DOI: 10.17632/dnk6839b86.1
title: Climate-Land Cover data used by DeepEcoClimate

description: Sourced and processed from 

- Climate normals: CRU TS v4.06
- Land cover: MCD12C1
- Elevation: GMTED2010

-------------------------------------

climate_data_land.h5 contains 7 datasets with gzip compression

'indices' - shape (66501, 2) - latitude, longitude for all land pixels
'elev' - shape (66501, ) - average elevation (in metre) for each land pixel
'tmp' - shape (66501, 124, 12) - average daily mean temperature of each month during 1901-2024 for each land pixel
'pre' - shape (66501, 124, 12) - precipitation of each month during 1901-2024 for each land pixel
'pet' - shape (66501, 124, 12) - potential evapotranspiration (PET) of each month during 1901-2024 for each land pixel
'tmn' - shape (66501, 124, 12) - average daily minimum temperature of each month during 1901-2024 for each land pixel
'tmx' - shape (66501, 124, 12) - average daily maximum temperature of each month during 1901-2024 for each land pixel

Temperatures are in Celcius, precipitation and PET are in millimeters
'indices', 'elev', 'pet' are not used in the climate classification models, only for plotting

-------------------------------

climate_variables.h5 contains 1 dataset with gzip compression

'res' - shape (66502, 124, 10)
res[-1, :, :] is the global average
Ten climate variables during 1901-2024 for each land pixel

"Coldest Month Mean Temperature": 0,
"Hottest Month Mean Temperature": 1,
"Coldest Month Mean Daily Minimum": 2,
"Hottest Month Mean Daily Maximum": 3,
"Mean Annual Temperature": 4,
"Wettest Month Precipitation": 5,
"Driest Month Precipitation": 6,
"Total Annual Precipitation": 7,
"Thermal Index": 8,
"Aridity Index": 9,

Temperature in Celcius, precipitation in millimeters
These data facilitates plotting in the ClimViz app

-------------------------------------

data.mat contains 4 ndarrays

'inputs' - shape (1411486, 3, 12) - 1411486 observations, tmn, pre, tmx for 12 months
'targets' - shape (1411486, 14) - 1411486 observations, proportions for 14 land cover types
'features' - shape (1411486, 60) - 1411486 observations, 60 features derived from MATLAB-pretrained model
'new_centroid' - shape (26, 60) - 26 centroids of climate types in the feature space, manually merged from a (5, 4, 3) self-organizing map trained in MATLAB

This file is used in TorchModel.py (in the GitHub repo) to migrate (and regularize) the model from MATLAB to PyTorch
Check the GitHub repo (https://github.com/peace-Van/ClimViz) for details
DOI: 10.15468/dl.spvdkn
title: Occurrence Download

description: A dataset containing 2024 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Material citation, Material sample, Specimen, Living Specimen, Occurrence evidence)",
 "Country is Uruguay",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Month is January",
 "OccurrenceStatus is Present",
 "Year 2025-2025"
 ]
}

 The dataset includes 2024 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018926-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.becx8h
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Arundo purpurea, Calamagrostis amurensis, Calamagrostis baicalensis, Calamagrostis barbata, Calamagrostis canadensis langsdorffii, Calamagrostis canadensis phragmitoides, Calamagrostis canadensis langsdorffii, Calamagrostis canadensis punctulata, Calamagrostis confusa, Calamagrostis elata)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen, Machine Observation)"
 ]
 }
 },
 "Continent is Europe",
 "Year is greater than or equal to 1980",
 "Year is less than or equal to 2024"
 ]
}

 The dataset includes 3 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018927-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/pj9vzc5j34.1
title: The Mental Health-Project Performance Nexus

description: This dataset contains raw survey data collected from construction professionals in Nigeria to investigate the relationship between mental health and project performance. The dataset is a valuable resource for researchers and practitioners in construction management, public health, and development economics. It provides empirical evidence to support further analysis into the socio-economic impacts of mental health in a high-pressure, developing-country work environment. The data can be used for statistical analysis to understand the causal links and inform policy and management interventions.
DOI: 10.17632/whgrxpnzkh
title: EIT - Design Files

description: Hardware design files for a wearable EIT device.
DOI: 10.17632/whgrxpnzkh.3
title: EIT - Design Files

description: Hardware design files for a wearable EIT device.
DOI: 10.17632/fdjwx97hwt
title: Systematic Review: Topical 5-a Reductase Inhibitors for Androgenetic Alopecia

description: Recent trials have investigated topical 5-ARIs as a promising treatment for AGA, in hopes of obtaining therapeutic benefit of these medications while limiting systemic exposure. This review investigates the efficacy of topical 5-ARIs in the treatment of AGA.
DOI: 10.17632/fdjwx97hwt.1
title: Systematic Review: Topical 5-a Reductase Inhibitors for Androgenetic Alopecia

description: Recent trials have investigated topical 5-ARIs as a promising treatment for AGA, in hopes of obtaining therapeutic benefit of these medications while limiting systemic exposure. This review investigates the efficacy of topical 5-ARIs in the treatment of AGA.
DOI: 10.17632/xc7zyk2f4m
title: Diagnosis and Management of Yellow Nail Syndrome: An International Multi-Institutional Retrospective Cohort Study of 111 Cases by an Expert Panel

description: Supplemental Table 1. Characteristics of yellow nail syndrome patients. 

Supplemental Table 2. Most common combinations of nail findings of 99 patients with yellow nail syndrome with documented physical examination. 

Supplemental Table 3. Level of evidence for yellow nail syndrome treatment recommendations. 

Supplemental Figure 1. 43-year-old male with yellow nail syndrome. Patient had history of bronchiectasis and remote Hodgkin’s lymphoma. Physical examination is notable for xanthonychia, increased transverse curvature, nail thickening, and missing lunulae.

Supplemental Figure 2. 17-year-old Indian male with yellow nail syndrome. There are thickened
and opaque yellow nails with increased curvature. There was distal onycholysis affecting multiple nails and distal nail clippings showed the presence of yeast forms. The patient also had a history of chronic cough and persistent post-nasal drip suggestive of sinusitis.

Supplemental Figure 3. 73-year-old male with yellow nail syndrome and Pseudomonas infection of the bilateral thumbnails. Patient had concurrent pulmonary hypertension, pulmonary fibrosis, and lymphedema of the lower extremities. Physical examination is notable for xanthonychia, increased transverse curvature, nail thickening, and opacity. There is green discoloration of the bilateral thumbnails. 

Appendix.
DOI: 10.17632/xc7zyk2f4m.1
title: Diagnosis and Management of Yellow Nail Syndrome: An International Multi-Institutional Retrospective Cohort Study of 111 Cases by an Expert Panel

description: Supplemental Table 1. Characteristics of yellow nail syndrome patients. 

Supplemental Table 2. Most common combinations of nail findings of 99 patients with yellow nail syndrome with documented physical examination. 

Supplemental Table 3. Level of evidence for yellow nail syndrome treatment recommendations. 

Supplemental Figure 1. 43-year-old male with yellow nail syndrome. Patient had history of bronchiectasis and remote Hodgkin’s lymphoma. Physical examination is notable for xanthonychia, increased transverse curvature, nail thickening, and missing lunulae.

Supplemental Figure 2. 17-year-old Indian male with yellow nail syndrome. There are thickened
and opaque yellow nails with increased curvature. There was distal onycholysis affecting multiple nails and distal nail clippings showed the presence of yeast forms. The patient also had a history of chronic cough and persistent post-nasal drip suggestive of sinusitis.

Supplemental Figure 3. 73-year-old male with yellow nail syndrome and Pseudomonas infection of the bilateral thumbnails. Patient had concurrent pulmonary hypertension, pulmonary fibrosis, and lymphedema of the lower extremities. Physical examination is notable for xanthonychia, increased transverse curvature, nail thickening, and opacity. There is green discoloration of the bilateral thumbnails. 

Appendix.
DOI: 10.15468/dl.v2tzhg
title: Occurrence Download

description: A dataset containing 1860 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Procyon lotor",
 "Country is Japan",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1860 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018928-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6d2zyb
title: Occurrence Download

description: A dataset containing 7106 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Oryctolagus cuniculus",
 "Country is Portugal",
 "HasCoordinate is true"
 ]
}

 The dataset includes 7106 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018929-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.