cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.17178833
title: Data supporting: "Overestimation of evapotranspiration across India if not considering the impact of rising atmospheric CO2"

description: README – Dataset Description for ETo Estimation Using Original and Modified FAO-PM Equation

This repository contains outputs of estimated reference evapotranspiration (ETo) using the original and the modified FAO-PM equation under the SSP1-2.6 and SSP5-8.5 climate scenarios for India. Data are available in both NetCDF and Excel formats, organized systematically for ease of use.

Directory Structure

1. Abs_ ETo

Contains absolute values of ETo estimated using the original and modified FAO-PM equation, arranged by time period and timescale:



2021–2030



Daily ETo files -- Daily values of ETo for the time period (5 GCMs).

Decadal average ETo -- Mean daily values averaged across the decade for the time period (5 GCMs).

Annual_avg -- Annual average ETo for each year in the decade for each of the 5 GCMs.

Seasonal_avg -- Average ETo for key seasons within the decade for each GCM.


2051–2060



Same file structure as above (daily, decadal, annual, seasonal).


2091–2100



Same file structure as above (daily, decadal, annual, seasonal).


Annual_avg_eto_combined



Combined folder containing average annual ETo values mentioned above, for ease of use.



2. Diff_in_ETo

Contains the difference in ETo between the original and modified FAO Penman–Monteith methods. Data are provided at different temporal scales:



diff_in_eto_daily -- Daily difference in ETo for each GCM.

diff_in_eto_decadal_average -- Decadal average of differences in ETo for each GCM.

 diff_in_eto_seasonal_average -- Differences in seasonal averages of ETo.



individual_gcm -- Differences in seasonal averages of ETo for each GCM.

multimodel -- Multimodel ensemble of differences in seasonal averages of ETo estimated using all GCMs.



File Formats



NetCDF files -- Provide spatially gridded data for ETo.

Excel files -- Contain tabulated summaries (annual, seasonal, decadal).


Note: Input Climate Data

Net radiation was derived using codes provided in the associated GitHub repository and is provided in this data repository.

Remaiing climate input data for ETo estimation across India were obtained from the ISIMIP3b protocol (https://data.isimip.org/search/tree/ISIMIP3b/InputData/climate/atmosphere/). Gridded projections were used for three time periods - 2021–2030, 2051–2060, and 2091–2100 from five GCMs (GFDL-ESM4, IPSL-CM6A-LR, MPI-ESM1-2-HR, MRI-ESM2-0, UKESM1-0-LL) under SSP1-2.6 and SSP5-8.5 scenarios at 0.5° × 0.5° resolution.

The following six variables were used: Near-surface relative humidity, Surface air pressure, Surface downwelling shortwave radiation, Near-surface wind speed, Daily maximum near-surface temperature, Daily minimum near-surface temperature. Additionally, ISIMIP3b atmospheric CO2 concentration data (annual average) under both SSPs were included.
DOI: 10.6084/m9.figshare.30194398.v1
title: Evaluating DNA barcoding using cpDNA COI for species identification and phylogenetic analysis of Pakistan fish species.docx

description: Evaluating DNA barcoding using cpDNA COI for species identification and phylogenetic analysis of Pakistan fish species
DOI: 10.6084/m9.figshare.30194398
title: Evaluating DNA barcoding using cpDNA COI for species identification and phylogenetic analysis of Pakistan fish species.docx

description: Evaluating DNA barcoding using cpDNA COI for species identification and phylogenetic analysis of Pakistan fish species
DOI: 10.6084/m9.figshare.30071866
title: Optimizing Inventory Policy for Small Food Business using Probabilitized EOQ Model: The Case of a Lechon Manok (Roasted Chicken) Franchise

description: Inventory management is crucial for achieving cost efficiency, customer satisfaction, and competitiveness, especially for small food enterprises dealing with perishable goods. This study examines the inventory challenges faced by a lechon manok (roasted chicken) franchise that depends predominantly on intuitive-based ordering method, leading to frequent restocking, elevated setup costs, and susceptibility to demand variability. To enhance its inventory strategy, the Economic Order Quantity (EOQ) model, along with its probabilistic extension incorporating a safety stock-based reorder point, was utilized using actual demand data and spreadsheet simulations. The results indicated that the proposed EOQ policy, with an optimal order quantity of 645 units and a reorder point of 144 units, decreased total inventory costs by 17% relative to the current system, while preserving service reliability and meeting product shelf-life requirements. A sensitivity analysis confirmed the model's robustness across several demand scenarios, highlighting its adaptability to changing market conditions. Future research that would examine or improve the efficacy of the models and application is outlined in this work.
DOI: 10.6084/m9.figshare.30071866.v4
title: Optimizing Inventory Policy for Small Food Business using Probabilitized EOQ Model: The Case of a Lechon Manok (Roasted Chicken) Franchise

description: Inventory management is crucial for achieving cost efficiency, customer satisfaction, and competitiveness, especially for small food enterprises dealing with perishable goods. This study examines the inventory challenges faced by a lechon manok (roasted chicken) franchise that depends predominantly on intuitive-based ordering method, leading to frequent restocking, elevated setup costs, and susceptibility to demand variability. To enhance its inventory strategy, the Economic Order Quantity (EOQ) model, along with its probabilistic extension incorporating a safety stock-based reorder point, was utilized using actual demand data and spreadsheet simulations. The results indicated that the proposed EOQ policy, with an optimal order quantity of 645 units and a reorder point of 144 units, decreased total inventory costs by 17% relative to the current system, while preserving service reliability and meeting product shelf-life requirements. A sensitivity analysis confirmed the model's robustness across several demand scenarios, highlighting its adaptability to changing market conditions. Future research that would examine or improve the efficacy of the models and application is outlined in this work.
DOI: 10.6084/m9.figshare.30071866.v3
title: Optimizing Inventory Policy for Small Food Business using “Probabilitized” EOQ Model: The Case of a Lechon Manok (Roasted Chicken) Franchise

description: Inventory management is crucial for achieving cost efficiency, customer satisfaction, and competitiveness, especially for small food enterprises dealing with perishable goods. This study examines the inventory challenges faced by a lechon manok (roasted chicken) franchise that depends predominantly on intuitive-based ordering method, leading to frequent restocking, elevated setup costs, and susceptibility to demand variability. To enhance its inventory strategy, the Economic Order Quantity (EOQ) model, along with its probabilistic extension incorporating a safety stock-based reorder point, was utilized using actual demand data and spreadsheet simulations. The results indicated that the proposed EOQ policy, with an optimal order quantity of 645 units and a reorder point of 144 units, decreased total inventory costs by 17% relative to the current system, while preserving service reliability and meeting product shelf-life requirements. A sensitivity analysis confirmed the model's robustness across several demand scenarios, highlighting its adaptability to changing market conditions. Future research that would examine or improve the efficacy of the models and application is outlined in this work.
DOI: 10.26275/gviz-vwjx
title: Scaffold map - Human vagus nerve

description: Segmented paths of human vagus nerve from skull to abdomen are mapped to a subject-specific vagus nerve scaffold for qualitative and quantitative visualisation and analysis.
DOI: 10.5281/zenodo.17189072
title: Disproportionate nitrogen burdens emerge under China's municipal solid waste management transition

description: The uploaded files include all the data used and output for/from the calculation, as well as the code.
DOI: 10.5281/zenodo.17189073
title: Disproportionate nitrogen burdens emerge under China's municipal solid waste management transition

description: The uploaded files include all the data used and output for/from the calculation, as well as the code.
DOI: 10.25919/8wph-xm82
title: NBDL Data Download
DOI: 10.34740/kaggle/dsv/13153698
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.5281/zenodo.14015296
title: Representing anthropogenic dust from agricultural sources in E3SMv1: Implementation, evaluation, and assessment of the radiative forcing

description: This repository saves the data shown in the figures of the paper entitled "Representing anthropogenic dust from agricultural sources in E3SMv1: Implementation, evaluation, and assessment of the radiative forcing".
DOI: 10.5281/zenodo.14015295
title: Representing anthropogenic dust from agricultural sources in E3SMv1: Implementation, evaluation, and assessment of the radiative forcing

description: This repository saves the data shown in the figures of the paper entitled "Representing anthropogenic dust from agricultural sources in E3SMv1: Implementation, evaluation, and assessment of the radiative forcing".
DOI: 10.6084/m9.figshare.30194403
title: Coconut shell activated carbon (CSAC) reinforced municipal sludge by high pressurized electro-dewatering with constant voltage gradient

description: Electro-dewatering (EDW) technology is a promising and effective municipal sludge dewatering technology. This study explores the effects of different voltage modes and coconut shell activated carbon (CSAC) on the performance of EDW and the resulting sludge cake. The results indicated that under a constant voltage gradient of 36 V/cm, the moisture content (<i>M<sub>c</sub></i>) of sludge significantly decreased from 88% to 64%, and there was a noticeable improvement in the resistance and temperature of sludge cake compared to the constant voltage mode. After adding CSAC, <i>M<sub>c</sub></i> of sludge was further reduced to 49%, the conductivity of the sludge was significantly increased, and the maximum current reached 0.34 A. The combined use of both methods also reduced the energy consumption during the sludge dewatering process, achieving a reduction of 78.14 Wh/kg.<sub>H2O</sub> compared with constant pressure electro-dewatering. Furthermore, this paper utilizes scanning electron microscopy (SEM) to observe the internal pore distribution in sludge, thereby elucidating the underlying mechanisms.
DOI: 10.6084/m9.figshare.30194403.v1
title: Coconut shell activated carbon (CSAC) reinforced municipal sludge by high pressurized electro-dewatering with constant voltage gradient

description: Electro-dewatering (EDW) technology is a promising and effective municipal sludge dewatering technology. This study explores the effects of different voltage modes and coconut shell activated carbon (CSAC) on the performance of EDW and the resulting sludge cake. The results indicated that under a constant voltage gradient of 36 V/cm, the moisture content (<i>M<sub>c</sub></i>) of sludge significantly decreased from 88% to 64%, and there was a noticeable improvement in the resistance and temperature of sludge cake compared to the constant voltage mode. After adding CSAC, <i>M<sub>c</sub></i> of sludge was further reduced to 49%, the conductivity of the sludge was significantly increased, and the maximum current reached 0.34 A. The combined use of both methods also reduced the energy consumption during the sludge dewatering process, achieving a reduction of 78.14 Wh/kg.<sub>H2O</sub> compared with constant pressure electro-dewatering. Furthermore, this paper utilizes scanning electron microscopy (SEM) to observe the internal pore distribution in sludge, thereby elucidating the underlying mechanisms.
DOI: 10.6084/m9.figshare.30193843
title: The cleaned and analysis-ready datasets (DEMO, DRUG, REAC)

description: The cleaned and analysis-ready datasets (DEMO, DRUG, REAC) from the FDA Adverse Event Reporting System (FAERS) platform.
DOI: 10.6084/m9.figshare.30193843.v1
title: The cleaned and analysis-ready datasets (DEMO, DRUG, REAC)

description: The cleaned and analysis-ready datasets (DEMO, DRUG, REAC) from the FDA Adverse Event Reporting System (FAERS) platform.
DOI: 10.6084/m9.figshare.30193843.v2
title: The cleaned and analysis-ready datasets (DEMO, DRUG, REAC)

description: The cleaned and analysis-ready datasets (DEMO, DRUG, REAC) from the FDA Adverse Event Reporting System (FAERS) platform.
DOI: 10.6084/m9.figshare.28876757.v2
title: Support for Rho

description: Support for Rho adaptation.
DOI: 10.6084/m9.figshare.30193852
title: PS_protein_database

description: We constructed a comprehensive local database by integrating the NCBI-Nr database (downloaded Aug 10, 2021) with study-specific gene sets (Supplementary Data 1). Phylogenetic species (PS) levels were defined based on the NCBI Taxonomy, with relationships verified or reconstructed phylogenetically. Genes from the target genome were then progressively assigned to these PS levels using Diamond BLASTP (E-value &lt; 1e-3), following a stepwise alignment strategy from broad (cellular organisms) to specific (species-level). For any inquiries, please do not hesitate to contact the corresponding author (jiaanqiang@email.swu.edu.cn).
DOI: 10.6084/m9.figshare.30193852.v1
title: PS_protein_database

description: We constructed a comprehensive local database by integrating the NCBI-Nr database (downloaded Aug 10, 2021) with study-specific gene sets (Supplementary Data 1). Phylogenetic species (PS) levels were defined based on the NCBI Taxonomy, with relationships verified or reconstructed phylogenetically. Genes from the target genome were then progressively assigned to these PS levels using Diamond BLASTP (E-value &lt; 1e-3), following a stepwise alignment strategy from broad (cellular organisms) to specific (species-level). For any inquiries, please do not hesitate to contact the corresponding author (jiaanqiang@email.swu.edu.cn).
DOI: 10.17909/0cys-z587
title: Optical/Infrared Data for SPT Dropouts
DOI: 10.6084/m9.figshare.30194386
title: qRT-PCR Data and Database for Phi, Dfvf, and Cazy Genes: Comparative Expression Analysis

description: This dataset includes the comparative qRT-PCR analysis of Phi, Dfvf, and Cazy gene expression. It also features the associated database containing relevant gene information, used to evaluate gene activity across different conditions.
DOI: 10.6084/m9.figshare.30194386.v1
title: qRT-PCR Data and Database for Phi, Dfvf, and Cazy Genes: Comparative Expression Analysis

description: This dataset includes the comparative qRT-PCR analysis of Phi, Dfvf, and Cazy gene expression. It also features the associated database containing relevant gene information, used to evaluate gene activity across different conditions.
DOI: 10.25345/c5xd0rb0m
title: MassIVE MSV000099266 - Proteomic analysis of PHACTR1 overexpressing and knockdown HT1080 stable cell lines
title: The PHACTR1 gene to a range of vascular and neurological diseases, underscoring its pivotal role in biology. To investigate the role of PHACTR1 in cells, we used lentiviral transfection of HT1080 cells with plasmids to overexpress (O) or knockdown (K) the PHACTR1 gene or a scrambled control plasmid (S) and created stable cell lines. As part of a larger multi-omics study, we performed untargeted on cell lysates (n=6 per condition). Peptide extracts were fractionated into 8, and analysed by LC-MS/MS using a C18AQ column on an Ultimate nanoRSLC UPLC coupled to a Orbitrap Fusion Lumos. Mass spectrometry raw data files were searched using MaxQuant (v2.1.3.0) against the Uniprot human canonical proteome (downloaded April 2023).
DOI: 10.6084/m9.figshare.30194002
title: Supplementary Figures and Tables

description: The supplementary materials provide detailed data on the genomic characterization, functional annotation, and transcriptomic analysis of Trichophyton verrucosum.
DOI: 10.6084/m9.figshare.30194002.v1
title: Supplementary Figures and Tabels

description: The supplementary materials provide detailed data on the genomic characterization, functional annotation, and transcriptomic analysis of Trichophyton verrucosum.
DOI: 10.6084/m9.figshare.30194002.v2
title: Supplementary Figures and Tables

description: The supplementary materials provide detailed data on the genomic characterization, functional annotation, and transcriptomic analysis of Trichophyton verrucosum.
DOI: 10.25954/jt95-0x06
title: Differences and relationships between ultrasound measurements and assessments of the plantar foot soft tissue structure, peak plantar pressure, and patient diabetic status
DOI: 10.7910/dvn/flpmud
title: Directional magnitude and intricacy of minimal repeat-mediated crossover and recombination across mouse and primates

description: Minimal repeats (MRs) such as dinucleotide two and three-repeat units (D2Us and D3Us, respectively) are ubiquitous sites of crossover and recombination and consequent colonization across the human genome.
DOI: 10.17909/qb8a-d221
title: SPT Dropouts
DOI: 10.34740/kaggle/dsv/13153870
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.17909/qyf8-t691
title: SPT/SDSS Combined Dropouts
DOI: 10.14457/tu.res.2021.4
title: ความจำเป็นในการตรวจสอบการคัดลอก (plagiarism) ของหนังสือและตำราที่ผลิตโดยคณะรัฐศาสตร์ มหาวิทยาลัยธรรมศาสตร์
DOI: 10.5281/zenodo.17189221
title: Dataset for paper Teaching Beyond Screens: Elementary School Teachers' Reflections on Foundational Computing and Informatics Instruction
DOI: 10.5281/zenodo.17189222
title: Dataset for paper Teaching Beyond Screens: Elementary School Teachers' Reflections on Foundational Computing and Informatics Instruction
DOI: 10.5281/zenodo.17188736
title: Dataset for: Tuning Steady Shear Rheology through Active Dopants

description: This dataset contains simulation data and processed results supporting the manuscript “Tuning Steady Shear Rheology through Active Dopants” (Shee, Bandyopadhyay, and Yue, 2025). The files include numerical data underlying all figures in the article, simulation parameters, and example scripts for reproducing plots. Raw trajectory data are not included due to size limitations but are available from the authors upon reasonable request.
DOI: 10.5281/zenodo.17188737
title: Dataset for: Tuning Steady Shear Rheology through Active Dopants

description: This dataset contains simulation data and processed results supporting the manuscript “Tuning Steady Shear Rheology through Active Dopants” (Shee, Bandyopadhyay, and Yue, 2025). The files include numerical data underlying all figures in the article, simulation parameters, and example scripts for reproducing plots. Raw trajectory data are not included due to size limitations but are available from the authors upon reasonable request.
DOI: 10.6084/m9.figshare.28253495
title: Representative MAGs from the bottom of the Kermadec Trench

description: Representative MAGs from the bottom of the Kermadec Trench
DOI: 10.6084/m9.figshare.28253495.v1
title: Representative MAGs from the bottom of the Kermadec Trench

description: Representative MAGs from the bottom of the Kermadec Trench
DOI: 10.5281/zenodo.17188568
title: Synchronized Cloud Classification Dataset from FY4A Multispectral Observations with Himawari-8 Labels

description: SynCloud-FY4A is a benchmark dataset for cloud classification constructed from FY-4A AGRI multispectral observations with labels derived from Himawari-8 L2 cloud classification products. Covering the region from 5°N–45°N and 90°E–130°E over 2018–2023, the dataset includes 12,000 collocated pairs of FY-4A inputs and Himawari-8 labels. After preprocessing (radiometric calibration, parallax and geometric correction, projection matching), the data are provided at a 0.05°×0.05° grid resolution, resulting in images of size 800×800 (40°×40°). Users can further process these data according to their research needs. In our cloud classification experiments, the original images were cropped into patches of 224×224 for network training. The Himawari-8 products distinguish nine cloud types (Ci, Cs, Dc, Ac, As, Ns, Cu, Sc, St), serving as reliable annotations. This dataset can be widely used for satellite-based cloud classification, meteorological forecasting, and climate studies.



Original Data Sources:



FY4A AGRI L1: https://satellite.nsmc.org.cn/dataportal/cn/home/index.html


          Example: FY4A-_AGRI--_N_DISK_1047E_L1-_FDI-_MULT_NOM_20190101000000_20190101001459_4000M_V0001.HDF



Himawari-8 L2: https://www.eorc.jaxa.jp/ptree/


          Example: NC_H08_20190101_0000_L2CLP010_FLDK.02401_02401.nc

Dataset Structure:

data/

|-- images/

    |-- training/

    |-- test/

|-- annotations/

   |-- training/

   |-- test/

Data Processing:



Preprocessing: Radiometric calibration, parallax correction, geometric correction, projection transformation, and spatiotemporal matching.

Dataset Split: Randomly divided into training and test sets (ratio 9:1).

Model Training: Used for training the cloud classification network proposed in the associated study, as well as baseline comparison networks.

Model Testing & Evaluation: Performance validated using the test set.


Usage Notes:



After extracting the archive, files starting with himawari-8 contain cloud-type labels, and files starting with fy4a contain multispectral observations. Users should organize observation and label data into their respective directories and run the dataset split script. Training data should be saved under ../images/training/ and labels under ../annotations/training/; similarly for the test set.

Currently, only 2019 FY4A observations and Himawari-8 labels are included. Data from other years will be uploaded gradually and linked to this dataset.