cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.yas7et
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Bryconamericus phoenicopterus",
 "DecimalLatitude is not null",
 "DecimalLongitude is not null"
 ]
}

 The dataset includes 10 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004138-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/cm5d5w9ghz
title: Dataset for Salinity-driven microbial carbonate precipitation

description: This dataset contains the numerical data supporting all figures presented in the main text and Supplementary Information of the manuscript. The dataset includes time-series measurements of bacterial activity, urease activity, and Ca²⁺ concentrations under different salinity conditions (Fig. 2), quantitative crystal growth data obtained from microfluidic crystal-tracking experiments (Figs. 3 and 4), crystal size evolution and growth rate analyses (Fig. 5), Ca²⁺ removal dynamics during alternating low- and high-salinity treatments (Fig. 6), and particle size distributions and mineralogical characterization data for biominerals formed under different salinity conditions (Fig. 7).
Supplementary datasets include additional time-course profiles, viability analyses, and supporting microfluidic and mineralogical data corresponding to SI-Figs. S3, S4, S6, and S7. All datasets are provided in open, machine-readable formats and can be used to reproduce the figures and verify the key trends and conclusions reported in this study.
DOI: 10.17632/cm5d5w9ghz.1
title: Dataset for Salinity-driven microbial carbonate precipitation

description: This dataset contains the numerical data supporting all figures presented in the main text and Supplementary Information of the manuscript. The dataset includes time-series measurements of bacterial activity, urease activity, and Ca²⁺ concentrations under different salinity conditions (Fig. 2), quantitative crystal growth data obtained from microfluidic crystal-tracking experiments (Figs. 3 and 4), crystal size evolution and growth rate analyses (Fig. 5), Ca²⁺ removal dynamics during alternating low- and high-salinity treatments (Fig. 6), and particle size distributions and mineralogical characterization data for biominerals formed under different salinity conditions (Fig. 7).
Supplementary datasets include additional time-course profiles, viability analyses, and supporting microfluidic and mineralogical data corresponding to SI-Figs. S3, S4, S6, and S7. All datasets are provided in open, machine-readable formats and can be used to reproduce the figures and verify the key trends and conclusions reported in this study.
DOI: 10.17632/x2dnvfwrdk
title: Salmonella exploits metal-responsive UMPylation to enable intracellular biphasic growth and antibiotic tolerance

description: Raw data for the manuscript named "Salmonella exploits metal-responsive UMPylation to enable intracellular biphasic growth and antibiotic tolerance"
DOI: 10.17632/x2dnvfwrdk.2
title: Salmonella exploits metal-responsive UMPylation to enable intracellular biphasic growth and antibiotic tolerance

description: Raw data for the manuscript named "Salmonella exploits metal-responsive UMPylation to enable intracellular biphasic growth and antibiotic tolerance"
DOI: 10.17632/f2jp385zkr
title: SaSamBo Corpus Dataset

description: raw data from SaSamBo Corpus https://korpussasambo.id/
DOI: 10.17632/f2jp385zkr.1
title: SaSamBo Corpus Dataset

description: raw data from SaSamBo Corpus https://korpussasambo.id/
DOI: 10.17632/h98tdgpbg3
title: Distribution Dataset for Microstylum dux and Microstylum oberthurii

description: 1. Species distribution data.
Raw distribution data and processed distribution data used for modeling.
2. Code data
R code for spatial sparse processing.
DOI: 10.17632/h98tdgpbg3.1
title: Distribution Dataset for Microstylum dux and Microstylum oberthurii

description: 1. Species distribution data.
Raw distribution data and processed distribution data used for modeling.
2. Code data
R code for spatial sparse processing.
DOI: 10.17632/22w4pcwh8x.1
title: Investigation of an air-forced open cathode proton exchange membrane fuel cell stack energy efficiency with different fan operation mechanisms

description: This file is the supplementary materials for the manuscript entitled: Investigation of an air-forced open cathode proton exchange membrane fuel cell stack energy efficiency with different fan operation mechanisms
DOI: 10.17632/4ccfy8hdkw
title: AsianVehicle: Image Dataset of Traditional Asian Vehicles for Computer Vision

description: The AsianVehicle dataset presents 4000 RGB images of four traditional Bangladeshi vehicles — Auto Rickshaw, Rickshaw, Rickshaw Van, and Leguna — captured in various urban and semi-urban locations across Mirpur, Dhaka. Images were collected under natural daylight using smartphone cameras (Redmi Note 9, Vivo Y11) at ambient temperatures of 25–28 °C to preserve authentic color tones and textures. Each vehicle type includes 1000 images taken from multiple angles and distances, enabling robust representation of real-world variations in shape, design, and background. The dataset is manually annotated and organized into raw dataset 400 images per class, making it suitable for benchmarking computer-vision models in fine-grained vehicle classification, cultural heritage preservation, and intelligent transport applications.
DOI: 10.17632/4ccfy8hdkw.5
title: AsianVehicle: Image Dataset of Traditional Asian Vehicles for Computer Vision

description: The AsianVehicle dataset presents 4000 RGB images of four traditional Bangladeshi vehicles — Auto Rickshaw, Rickshaw, Rickshaw Van, and Leguna — captured in various urban and semi-urban locations across Mirpur, Dhaka. Images were collected under natural daylight using smartphone cameras (Redmi Note 9, Vivo Y11) at ambient temperatures of 25–28 °C to preserve authentic color tones and textures. Each vehicle type includes 1000 images taken from multiple angles and distances, enabling robust representation of real-world variations in shape, design, and background. The dataset is manually annotated and organized into raw dataset 400 images per class, making it suitable for benchmarking computer-vision models in fine-grained vehicle classification, cultural heritage preservation, and intelligent transport applications.
DOI: 10.17632/sgv9w5ymsc.1
title: Tabel IO Provinsi Bengkulu Tahun 2024

description: The 2024 Bengkulu Province IO Table data is the result of adjustments and updates conducted using non-survey methods for research purposes. The limited availability of IO Tables makes national-level IO Tables more frequently used than regional IO Tables in both domestic and international research. Compiling IO Tables requires relatively large costs, time, and effort, so the available series of tables typically contain time reference conditions for observations that have long since elapsed since the research date. 
The non-survey updating method used is the RAS method. Although widely associated with updating input-output tables, the RAS method has deep roots in work in statistics and mathematics, with the key concept being to find a matrix that deviates least from the initial matrix while satisfying marginal constraints. The RAS method is a special case of the matrix adjustment problem known as double proportional balancing. Richard Stone and J. A. C. Brown of the University of Cambridge were the first to formally adapt and apply the double proportional iterative technique to update input-output coefficient matrices in an economic context in 1962. The goal was to adjust the coefficients of the transaction matrix of the input-output table from a base year to a target year when only marginal data (total output and total inputs by sector) for the target year were available. The RAS method is used to update the 2016 Bengkulu Province IO Table with 2024 data.
The initial step of the RAS method in this study is to create a hypothetical 2024 IO Table based on the 2016 structure (baseline IO), projected 2024 sectoral output data, and the distribution of 2024 GRDP expenditure (final demand). These data are then balanced using the RAS method, as the initial results are unbalanced. After the 2024 final output and demand projections are distributed following the 2016 structure, an imbalance between total output and total input is likely to emerge, necessitating balancing.
The RAS balancing steps begin with the initial technology matrix (from the 2016 IO table) and determine the initial target output (2024 IO table). Then, final demand and primary input are distributed from the old structure. Initialization is carried out by creating a diagonal matrix R for row adjustments (sectoral output) and a diagonal matrix S for column adjustments (sectoral input). Corrections are performed alternately for row and column adjustments over several iterations. The iteration process continues to be repeated until each element in the R and S vectors approaches 1.0000 and the difference between the total sectoral input and output is &lt; 0.0001.
DOI: 10.6084/m9.figshare.31302415
title: Experimental data of ozone transport and toluene removal by rhamnolipid-coated ozone micro-nano bubbles under electric field in a heterogeneous aquifer

description: This dataset includes all experimental data in the article named "Electrophoresis-Enhanced Delivery of Rhamnolipid-Coated Ozone Micro-Nano Bubbles for Remediating Heterogeneous Aquifer". Generally, it contains two parts. The first part is the dataset describing ozone transport with micro-nano bubbles under electric field in a sand column. The second part is the dataset describing toluene removal characteristics by rhamnolipid-coated ozone micro-nano bubbles under electric field in a sand tank.
DOI: 10.6084/m9.figshare.31302415.v2
title: Experimental data of ozone transport and toluene removal by rhamnolipid-coated ozone micro-nano bubbles under electric field in a heterogeneous aquifer

description: This dataset includes all experimental data in the article named "Electrophoresis-Enhanced Delivery of Rhamnolipid-Coated Ozone Micro-Nano Bubbles for Remediating Heterogeneous Aquifer". Generally, it contains two parts. The first part is the dataset describing ozone transport with micro-nano bubbles under electric field in a sand column. The second part is the dataset describing toluene removal characteristics by rhamnolipid-coated ozone micro-nano bubbles under electric field in a sand tank.
DOI: 10.6084/m9.figshare.31302415.v1
title: Experimental data of ozone transport and toluene removal by rhamnolipid-coated ozone micro-nano bubbles under electric field in a heterogeneous aquifer

description: This dataset includes all experimental data in the article named "Electrophoresis-Enhanced Delivery of Rhamnolipid-Coated Ozone Micro-Nano Bubbles for Remediating Heterogeneous Aquifer". Generally, it contains two parts. The first part is the dataset describing ozone transport with micro-nano bubbles under electric field in a sand column. The second part is the dataset describing toluene removal characteristics by rhamnolipid-coated ozone micro-nano bubbles under electric field in a sand tank.
DOI: 10.15468/dl.dhcq7j
title: Occurrence Download

description: A dataset containing 483 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Vigna trilobata",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 }
 ]
}

 The dataset includes 483 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004141-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.r7ukqr
title: Occurrence Download

description: A dataset containing 12 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Bryconamericus pinnavittatus",
 "DecimalLatitude is not null",
 "DecimalLongitude is not null"
 ]
}

 The dataset includes 12 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004140-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.31302454
title: O'Donnell Research Group (ORG) Fiber Clustering White Matter Atlas Modified for pyAFQ

description: This contains a portion of the atlas hosted at under the Creative Commons Attribution 4.0 International License:<br>https://zenodo.org/records/2648292<br>If you use, please cite:Zhang, F., Wu, Y., Norton, I., Rathi, Y., Makris, N., O'Donnell, LJ. An anatomically curated fiber clustering white matter atlas for consistent white matter tract parcellation across the lifespan. NeuroImage, 2018 (179): 429-447See details at: https://github.com/SlicerDMRI/ORG-Atlases<br><br>The main modifications are:<br> Atlas streamlines are re-oriented to pyAFQ standard and converted to TRX<br> Atlas data converted to .npy so pyAFQ does not require additional dependencies
DOI: 10.6084/m9.figshare.31302454.v1
title: O'Donnell Research Group (ORG) Fiber Clustering White Matter Atlas Modified for pyAFQ

description: This contains a portion of the atlas hosted at under the Creative Commons Attribution 4.0 International License:<br>https://zenodo.org/records/2648292<br>If you use, please cite:Zhang, F., Wu, Y., Norton, I., Rathi, Y., Makris, N., O'Donnell, LJ. An anatomically curated fiber clustering white matter atlas for consistent white matter tract parcellation across the lifespan. NeuroImage, 2018 (179): 429-447See details at: https://github.com/SlicerDMRI/ORG-Atlases<br><br>The main modifications are:<br> Atlas streamlines are re-oriented to pyAFQ standard and converted to TRX<br> Atlas data converted to .npy so pyAFQ does not require additional dependencies
DOI: 10.17632/f6yxfvkr4c
title: De-identified clinical and laboratory dataset of surgically treated MRONJ patients

description: This dataset contains de-identified clinical and laboratory data from a retrospective cohort of patients with medication-related osteonecrosis of the jaw who underwent surgical treatment at Shanghai Ninth People’s Hospital, Shanghai Jiao Tong University School of Medicine between 2010 and 2025, including demographic characteristics, medication background, clinical features, lesion distribution, surgical procedures, and routine perioperative laboratory parameters; all data were extracted from the hospital electronic medical record system and anonymized prior to sharing, with no direct patient identifiers included.
DOI: 10.17632/f6yxfvkr4c.1
title: De-identified clinical and laboratory dataset of surgically treated MRONJ patients

description: This dataset contains de-identified clinical and laboratory data from a retrospective cohort of patients with medication-related osteonecrosis of the jaw who underwent surgical treatment at Shanghai Ninth People’s Hospital, Shanghai Jiao Tong University School of Medicine between 2010 and 2025, including demographic characteristics, medication background, clinical features, lesion distribution, surgical procedures, and routine perioperative laboratory parameters; all data were extracted from the hospital electronic medical record system and anonymized prior to sharing, with no direct patient identifiers included.
DOI: 10.17632/ns2k7nttcm
title: AI Application, Dual Moderating Effects, and the Markup Rate of Manufacturing Firms code and data

description: AI Application, Dual Moderating Effects, and the Markup Rate of Manufacturing Firms: An Empirical Study from the Perspective of Human Capital and Ownership in Chinese Enterprises code and data
DOI: 10.57760/sciencedb.cast.00009
title: BDSet: a first-ever BDS satellite-based PPP augmentation dataset since 2023
title: BDSet: a first-ever BDS satellite-based PPP augmentation dataset since 2023

description: This dataset originates from PPP-B2b augmentation signals collected in Wuhan, China, and covers the processing flow of ‘Raw data → Standardized data → Decoded data → Final products’, i.e. raw data from receiving chip, standardized PPP-B2b augmentation messages, decoded PPP-B2b SSR corrections, and recovered PPP-B2b precise products which can be directly utilized in PNT applications.The BDSet is continuously updating since January 1, 2023. This release covers PPP-B2b augmentation signals up to December 31, 2025.
description: This dataset originates from PPP-B2b augmentation signals collected in Wuhan, China, and covers the processing flow of ‘Raw data → Standardized data → Decoded data → Final products’, i.e. raw data from receiving chip, standardized PPP-B2b augmentation messages, decoded PPP-B2b SSR corrections, and recovered PPP-B2b precise products which can be directly utilized in PNT applications.The BDSet is continuously updating since January 1, 2023. This release covers PPP-B2b augmentation signals up to December 31, 2025.
DOI: 10.17632/ns2k7nttcm.1
title: AI Application, Dual Moderating Effects, and the Markup Rate of Manufacturing Firms code and data

description: AI Application, Dual Moderating Effects, and the Markup Rate of Manufacturing Firms: An Empirical Study from the Perspective of Human Capital and Ownership in Chinese Enterprises code and data
DOI: 10.57760/sciencedb.33337
title: HYdraulic stimulation and Dynamic Response Analysis Network (HYDRA-Net)
title: HYdraulic stimulation and Dynamic Response Analysis Network (HYDRA-Net)

description: This is the code of the deep learning model named HYdraulic stimulation and Dynamic Response Analysis Network (HYDRA-Net). The model was developed to forecast injection pressure and seismicity rate based on the historical and planned hydraulic stimulation data as well as recorded seismicity.
description: This is the code of the deep learning model named HYdraulic stimulation and Dynamic Response Analysis Network (HYDRA-Net). The model was developed to forecast injection pressure and seismicity rate based on the historical and planned hydraulic stimulation data as well as recorded seismicity.
DOI: 10.57760/sciencedb.37331
title: Physical and Biological Glider Observations in the Northern South China Sea (May–June 2021).
title: Physical and Biological Glider Observations in the Northern South China Sea (May–June 2021).

description: From 20 May to 6 June 2021, an autonomous underwater glider (reference number: 1000K012) was deployed in the northern South China Sea to investigate the physical and biological characteristics of an anticyclonic eddy. The glider collected vertical profiles from the surface to 1000 m depth, measuring temperature, salinity, chlorophyll-a, and turbidity. This dataset provides high-resolution observations of the eddy structure and associated biophysical properties, which can be used for studies of mesoscale ocean dynamics, eddy impacts on biological distributions, and model validation.
description: From 20 May to 6 June 2021, an autonomous underwater glider (reference number: 1000K012) was deployed in the northern South China Sea to investigate the physical and biological characteristics of an anticyclonic eddy. The glider collected vertical profiles from the surface to 1000 m depth, measuring temperature, salinity, chlorophyll-a, and turbidity. This dataset provides high-resolution observations of the eddy structure and associated biophysical properties, which can be used for studies of mesoscale ocean dynamics, eddy impacts on biological distributions, and model validation.
DOI: 10.17632/ztzvt7rfzy
title: V-HLP Foundational Principles Table

description: This dataset presents the synthesized foundational principles of V-HLP, integrating logistical heuristics and ethological insights into operational doctrines for high-volatility environments.

Unit of analysis:
Foundational principle.

Data type:
Conceptual synthesis data.

Intended use:
Operational translation of theory, policy design, logistics planning, and academic extension of volatility-adaptive systems.
DOI: 10.17632/ztzvt7rfzy.1
title: V-HLP Foundational Principles Table

description: This dataset presents the synthesized foundational principles of V-HLP, integrating logistical heuristics and ethological insights into operational doctrines for high-volatility environments.

Unit of analysis:
Foundational principle.

Data type:
Conceptual synthesis data.

Intended use:
Operational translation of theory, policy design, logistics planning, and academic extension of volatility-adaptive systems.
DOI: 10.17632/7k44n78rhv
title: V-HLP Ethological Rules

description: This dataset records the refinement of ethological (animal behavior–derived) decision rules that inform the biological foundations of V-HLP. Each row represents an IF–THEN behavioral rule evaluated against empirical cases and expert ornithological input.

Unit of analysis:
Individual ethological rule iteration.

Data type:
Qualitative, rule-based analytical data.

Intended use:
Traceability of cross-domain abstraction from biology to logistics and validation of biologically inspired decision logic.
DOI: 10.17632/7k44n78rhv.1
title: V-HLP Ethological Rules

description: This dataset records the refinement of ethological (animal behavior–derived) decision rules that inform the biological foundations of V-HLP. Each row represents an IF–THEN behavioral rule evaluated against empirical cases and expert ornithological input.

Unit of analysis:
Individual ethological rule iteration.

Data type:
Qualitative, rule-based analytical data.

Intended use:
Traceability of cross-domain abstraction from biology to logistics and validation of biologically inspired decision logic.
DOI: 10.17632/28trdgm2d3
title: V-HLP Logistical Heuristics

description: This dataset documents the iterative development of logistical heuristics underlying the Volatility-Harnessing Logistics Protocol (V-HLP). Each record captures a single heuristic’s evolution from its original formulation through expert validation, diagnostic critique, refinement actions, and final revised statement.

Unit of analysis:
Individual logistical heuristic iteration.

Data type:
Qualitative, structured tabular data.

Intended use:
Replication of heuristic development, methodological transparency, and comparative analysis of adaptive logistics principles.
DOI: 10.17632/28trdgm2d3.1
title: V-HLP Logistical Heuristics

description: This dataset documents the iterative development of logistical heuristics underlying the Volatility-Harnessing Logistics Protocol (V-HLP). Each record captures a single heuristic’s evolution from its original formulation through expert validation, diagnostic critique, refinement actions, and final revised statement.

Unit of analysis:
Individual logistical heuristic iteration.

Data type:
Qualitative, structured tabular data.

Intended use:
Replication of heuristic development, methodological transparency, and comparative analysis of adaptive logistics principles.
DOI: 10.17632/d7yr4pdxv6
title: Swiss-PDG-0_0

description: The uploaded file contains the branch and bus data of the Swiss 20-kV medium-voltage distribution network (ID: 0_0).
DOI: 10.17632/d7yr4pdxv6.1
title: Swiss-PDG-0_0

description: The uploaded file contains the branch and bus data of the Swiss 20-kV medium-voltage distribution network (ID: 0_0).