cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.18487946
title: IODP Expedition 354 Rig instrumentation

description: Operational rig information data were measured using a variety of sensors and compiled using the RigWatch software package. Approximately 50 channels of drilling/coring data are captured in real time during the expedition. Data are presented as ASCII files extracted from the proprietary RigWatch data files and are presented by expedition. RigWatch data in time or depth domain can be imported into graphics and analysis programs to be merged and correlated with core physical properties data to enhance assessment of poor core recovery intervals.
DOI: 10.5281/zenodo.18487947
title: IODP Expedition 354 Rig instrumentation

description: Operational rig information data were measured using a variety of sensors and compiled using the RigWatch software package. Approximately 50 channels of drilling/coring data are captured in real time during the expedition. Data are presented as ASCII files extracted from the proprietary RigWatch data files and are presented by expedition. RigWatch data in time or depth domain can be imported into graphics and analysis programs to be merged and correlated with core physical properties data to enhance assessment of poor core recovery intervals.
DOI: 10.17632/nxn82bwr2h
title: Knowledge

description: this dataset is used to investigate the effect of km on pp through pic
DOI: 10.17632/nxn82bwr2h.1
title: Knowledge

description: this dataset is used to investigate the effect of km on pp through pic
DOI: 10.5281/zenodo.18487818
title: CATS benchmarking data tables (Revision 2)

description: This repository contains stand-alone data tables which represent the results of CATS benchmarking. More information can be found in the GitHub repository https://github.com/bodulic/CATS_benchmark
DOI: 10.17632/pdyfmrjz93
title: Jiujiawan_landslide_raw_data

description: Jiujiawan_landslide_raw_data
DOI: 10.5281/zenodo.16837970
title: CATS benchmarking data tables (Revision 2)

description: This repository contains stand-alone data tables which represent the results of CATS benchmarking. More information can be found in the GitHub repository https://github.com/bodulic/CATS_benchmark
DOI: 10.17632/pdyfmrjz93.1
title: Jiujiawan_landslide_raw_data

description: Jiujiawan_landslide_raw_data
DOI: 10.17632/mv55294f4k
title: American Heart Association Award ID 23SCEFIA1157676

description: The data in this file was supported by the American Heart Association Second Century Early Faculty Independence Award 23SCEFIA1157676. It was published as below:

Basak JM, Falk M, Dingman AL, Moore A, Tiemeier E, Aimale G, Quillinan N. Microglia interact with dendritic spines and regulate spine numbers after brain injury following resuscitation from a cardiac arrest. Exp Neurol. 2025. Jul 5; 392: 115364.
DOI: 10.17632/mv55294f4k.1
title: American Heart Association Award ID 23SCEFIA1157676

description: The data in this file was supported by the American Heart Association Second Century Early Faculty Independence Award 23SCEFIA1157676. It was published as below:

Basak JM, Falk M, Dingman AL, Moore A, Tiemeier E, Aimale G, Quillinan N. Microglia interact with dendritic spines and regulate spine numbers after brain injury following resuscitation from a cardiac arrest. Exp Neurol. 2025. Jul 5; 392: 115364.
DOI: 10.15468/dl.89r3cb
title: Occurrence Download

description: A dataset listing the 10 species recorded in GBIF matching the query:
{
 "DatasetKey" : [
 "is Inventaires Aéro Biodiversité - UIP - Quimper-Inventaires Aéro Biodiversité - UIP - Point d'EPOC 3"
 ]
}

 The dataset's 10 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012500-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5061/dryad.n5tb2rc94
title: Data and code from: Fertilization influences overyielding through dominance of species with high specific leaf area in young tree mixtures

description: This dataset accompanies the study “Fertilization influences overyielding
 through dominance of species with high specific leaf area in young tree
 mixtures” and documents the effects of nutrient addition on tree
 diversity–productivity relationships and community functional structure in
 young experimental forest communities. The data originate from a tree
 diversity experiment including monocultures and two- and four-species
 mixtures of six European tree species (Acer platanoides, Betula pendula,
 Larix decidua, Picea abies, Pinus sylvestris, and Quercus robur), grown
 with or without four consecutive years of mineral fertilization. The
 dataset comprises measurements at multiple hierarchical levels, including
 individual-tree data (tree height, stem diameter, aboveground woody
 biomass, and specific leaf area), species-level summaries, and
 community-level variables. Derived variables include trait-based metrics
 such as community-weighted means (CWM) and functional diversity (FD) of
 tree height and specific leaf area, as well as indices of species- and
 community-level overyielding. These data enable analyses of how
 fertilization influences productivity in mixed-species tree communities,
 both directly and indirectly, through changes in community functional
 trait structure and species composition.
description: **Data and R code for:** **Saito et al. (accepted in 2025)** ***Functional
 Ecology*** “Fertilization influences overyielding through dominance of
 species with high specific leaf area in young tree mixtures.” This
 repository contains the data and R scripts required to reproduce the
 analyses presented in the manuscript. **Data files and R scripts** note:
 NA = missing data or not applicable **Metadata.xlsx** Provides a
 comprehensive glossary of all column names included in the following data
 files, including definitions, units, and relevant methodological notes.
 **Community-level_data.csv** Used by:
 **R_code_community-level_analysis.R** * Each row represents one
 experimental plot (community). * Used for community-level mixed-effects
 models and piecewise structural equation models.
 **Species-level_data.csv** Used by: **R_code_species-level_analysis.R** *
 Each row represents one species within one plot (one row per species ×
 plot). * Used for species-level overyielding and trait-based mixed-effects
 models. **Tree-level_height_and_biomass_data.csv** Used by:
 **R_code_tree-level_analysis.R** * Each row represents one individual tree
 within a plot. * Used for tree height modelling and height–diameter
 modelling. * Only living trees located in the inner 5 × 5 grid of each 7 ×
 7 plot are included. **SLA_data.csv** Used by: **R_code_SLA_analysis.R** *
 Each row represents one individual tree. * Used for modelling specific
 leaf area (SLA) at the tree level.
DOI: 10.17632/6ndh5w5thc
title: Unveiling U(VI)-Carbonate Surface Complexes on Montmorillonite: Insights from a First-Principles Molecular Dynamics based Surface Complexation Modeling

description: Data availability for "Unveiling U(VI)-Carbonate Surface Complexes on Montmorillonite: Insights from a First-Principles Molecular Dynamics based Surface Complexation Modeling."
DOI: 10.17632/6ndh5w5thc.1
title: Unveiling U(VI)-Carbonate Surface Complexes on Montmorillonite: Insights from a First-Principles Molecular Dynamics based Surface Complexation Modeling

description: Data availability for "Unveiling U(VI)-Carbonate Surface Complexes on Montmorillonite: Insights from a First-Principles Molecular Dynamics based Surface Complexation Modeling."
DOI: 10.17632/n7hkt59vk5
title: EJECE dataset

description: Data generated or analyzed during this study are provided in full within the published article.
DOI: 10.17632/n7hkt59vk5.1
title: EJECE dataset

description: Data generated or analyzed during this study are provided in full within the published article.
DOI: 10.17632/dv29j554sb
title: Data and MATLAB Code for paper of A Reinforcement Learning Hyper-Heuristic for Opposition-Enhanced Shuffled Multi-Strategy Evolutionary Algorithms with Adaptive Population Sizing

description: Shuffled algorithms partition a population into groups, each undergoing an independent evolutionary process. To enhance search diversity and prevent premature convergence, the shuffled multi evolutionary algorithm (SMEA) was introduced, allowing each group to evolve using a randomly selected evolutionary process. This paper presents an improved version of SMEA, called the reinforcement learning-based shuffled multi opposition-based learning evolutionary algorithm (RLSMOBEA). The proposed algorithm integrates opposition-based versions of three evolutionary processes: shuffled frog leaping (SFL), shuffled complex evolution (SCE), and shuffled differential evolution (SDE), within its local search stage. Unlike SMEA, which selects the evolutionary process randomly, RLSMOBEA incorporates reinforcement learning (RL) and SMEA to intelligently choose the most suitable evolutionary process at each iteration among the available candidates. Furthermore, the RLSMOBEA algorithm is enhanced by incorporating linear population size reduction (LPSR), leading to the development of the L-RLSMOBEA variant. This modification employs a linear function to gradually decrease both the population size and the number of groups during the optimization process. The performance of L-RLSMOBEA is rigorously assessed using the CEC2014 and CEC2017 benchmark test suites
DOI: 10.17632/dv29j554sb.2
title: Data and MATLAB Code for paper of A Reinforcement Learning Hyper-Heuristic for Opposition-Enhanced Shuffled Multi-Strategy Evolutionary Algorithms with Adaptive Population Sizing

description: Shuffled algorithms partition a population into groups, each undergoing an independent evolutionary process. To enhance search diversity and prevent premature convergence, the shuffled multi evolutionary algorithm (SMEA) was introduced, allowing each group to evolve using a randomly selected evolutionary process. This paper presents an improved version of SMEA, called the reinforcement learning-based shuffled multi opposition-based learning evolutionary algorithm (RLSMOBEA). The proposed algorithm integrates opposition-based versions of three evolutionary processes: shuffled frog leaping (SFL), shuffled complex evolution (SCE), and shuffled differential evolution (SDE), within its local search stage. Unlike SMEA, which selects the evolutionary process randomly, RLSMOBEA incorporates reinforcement learning (RL) and SMEA to intelligently choose the most suitable evolutionary process at each iteration among the available candidates. Furthermore, the RLSMOBEA algorithm is enhanced by incorporating linear population size reduction (LPSR), leading to the development of the L-RLSMOBEA variant. This modification employs a linear function to gradually decrease both the population size and the number of groups during the optimization process. The performance of L-RLSMOBEA is rigorously assessed using the CEC2014 and CEC2017 benchmark test suites
DOI: 10.17632/xmknhj3h8p
title: News Commentary

description: This dataset contains a processed and structured collection of English-language news articles, derived from the OPUS News-Commentary parallel corpus. The source data was obtained from the specific version available at: https://opus.nlpl.eu/datasets/News-Commentary?pair=en&pt
DOI: 10.17632/xmknhj3h8p.1
title: News Commentary

description: This dataset contains a processed and structured collection of English-language news articles, derived from the OPUS News-Commentary parallel corpus. The source data was obtained from the specific version available at: https://opus.nlpl.eu/datasets/News-Commentary?pair=en&pt
DOI: 10.15468/dl.4s2nx3
title: Occurrence Download

description: A dataset listing the 8 species recorded in GBIF matching the query:
{
 "DatasetKey" : [
 "is Inventaires Aéro Biodiversité - UIP - Quimper-Inventaires Aéro Biodiversité - UIP - Point d'EPOC 2"
 ]
}

 The dataset's 8 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012503-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/jz2wc5rzyx.2
title: Transmission spectrum and Spectroscopic Ellipsometry data of JGS2-fused Silica

description: This data set describes the transmission spectrum and spectroscopic ellipsometry data of JGS2-fused Silica substrate.
DOI: 10.17632/mcm5y792xm
title: Agglomerative externalities and small business survival in Seoul

description: This dataset contains refined and pre-processed information derived from the Local Administration License Data (LOCALDATA) portal provided by the Ministry of the Interior and Safety, South Korea. The data was curated specifically to analyze the survival determinants and their interactions of small businesses during 2016-2024.
DOI: 10.17632/mcm5y792xm.1
title: Agglomerative externalities and small business survival in Seoul

description: This dataset contains refined and pre-processed information derived from the Local Administration License Data (LOCALDATA) portal provided by the Ministry of the Interior and Safety, South Korea. The data was curated specifically to analyze the survival determinants and their interactions of small businesses during 2016-2024.
DOI: 10.17632/xzgy3dtt5v
title: Settlement Facade Renewal Tool
DOI: 10.15468/dl.krqasm
title: Occurrence Download

description: A dataset containing 931509 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "TaxonKey is Melastomataceae"
 ]
}

 The dataset includes 931509 records from 1134 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012486-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/xzgy3dtt5v.3
title: Settlement Facade Renewal Tool
DOI: 10.17632/bh8cpfb8xz
title: Data set for “Improved Gravity-Theory Model for Sediment Concentration in Vegetated Flows with Vertical Blockage Effects”

description: This data is about an "Improved Gravity-Theory model" for sediment concentration in vegetated flows, which is shown as the experimental and calculated values of velocity profile and SSC for six cases.
DOI: 10.17632/bh8cpfb8xz.1
title: Data set for “Improved Gravity-Theory Model for Sediment Concentration in Vegetated Flows with Vertical Blockage Effects”

description: This data is about an "Improved Gravity-Theory model" for sediment concentration in vegetated flows, which is shown as the experimental and calculated values of velocity profile and SSC for six cases.
DOI: 10.17632/jrm62mnkhy
title: Effects of Enzyme–Microbe Co-fermented Ganoderma Lucidum Spent Substrate on Growth Performance, Apparent Nutrient Digestibility, Organ Indices, and Gut Microbiota in Yellow-Feathered Broilers

description: This study investigated the effects of dietary supplementation with different levels of enzyme–microbe co-fermented Ganoderma lucidum spent substrate (EFGLS) on growth performance, apparent nutrient digestibility, organ indices, and cecal microbi-ota in yellow-feathered broilers. A total of 450 healthy broilers (22 days of age) with similar body weight were randomly assigned to three dietary treatments, with five replicates per treatment and 30 birds per replicate. The control group was fed a corn–soybean meal–based basal diet, while the experimental groups received diets supple-mented with 1.5% or 3.0% fermented G. lucidum spent substrate to partially replace corn and soybean meal. The feeding trial lasted for 6 weeks. The results showed that: (1) over the entire experimental period, broilers fed diets containing 1.5% or 3.0% EFGLS exhibited significantly greater average daily gain (ADG) and a markedly lower feed-to-gain ratio (F/G) compared with the control group (p &lt; 0.001); (2) apparent nu-trient digestibility tended to increase in both EFGLS–supplemented groups, although no significant differences were observed (p &gt; 0.05); (3) the thymus index was signifi-cantly higher in the 1.5% supplementation group than in the 3.0% group (p &lt; 0.05); and (4) the Pielou’s evenness, Shannon, and Simpson indices of the cecal microbiota were significantly higher in the 3.0% group than in the control group (p &lt; 0.05), whereas the Dominance index was significantly higher in the control group than in both experi-mental groups.
DOI: 10.17632/jrm62mnkhy.1
title: Effects of Enzyme–Microbe Co-fermented Ganoderma Lucidum Spent Substrate on Growth Performance, Apparent Nutrient Digestibility, Organ Indices, and Gut Microbiota in Yellow-Feathered Broilers

description: This study investigated the effects of dietary supplementation with different levels of enzyme–microbe co-fermented Ganoderma lucidum spent substrate (EFGLS) on growth performance, apparent nutrient digestibility, organ indices, and cecal microbi-ota in yellow-feathered broilers. A total of 450 healthy broilers (22 days of age) with similar body weight were randomly assigned to three dietary treatments, with five replicates per treatment and 30 birds per replicate. The control group was fed a corn–soybean meal–based basal diet, while the experimental groups received diets supple-mented with 1.5% or 3.0% fermented G. lucidum spent substrate to partially replace corn and soybean meal. The feeding trial lasted for 6 weeks. The results showed that: (1) over the entire experimental period, broilers fed diets containing 1.5% or 3.0% EFGLS exhibited significantly greater average daily gain (ADG) and a markedly lower feed-to-gain ratio (F/G) compared with the control group (p &lt; 0.001); (2) apparent nu-trient digestibility tended to increase in both EFGLS–supplemented groups, although no significant differences were observed (p &gt; 0.05); (3) the thymus index was signifi-cantly higher in the 1.5% supplementation group than in the 3.0% group (p &lt; 0.05); and (4) the Pielou’s evenness, Shannon, and Simpson indices of the cecal microbiota were significantly higher in the 3.0% group than in the control group (p &lt; 0.05), whereas the Dominance index was significantly higher in the control group than in both experi-mental groups.
DOI: 10.17632/wnjnhkkczz
title: Low-resolution electron density map of the druggable 5'3WJ of IL-2 RNA

description: This dataset contains a low-resolution electron density map generated to support the structural visualisation of the IL-2 RNA region (5'3WJ).
The map is intended for visualization of the RNA structure in the manuscript: Nowacka et al. Identification of a region within 5’UTR of Interleukin-2 mRNA offers a promising strategy of drug development for autoimmune disorders.

File format: MRC
Resolution: low / not applicable

The dataset is provided as supporting data for the associated publication.
DOI: 10.17632/wnjnhkkczz.2
title: Low-resolution electron density map of the druggable 5'3WJ of IL-2 RNA

description: This dataset contains a low-resolution electron density map generated to support the structural visualisation of the IL-2 RNA region (5'3WJ).
The map is intended for visualization of the RNA structure in the manuscript: Nowacka et al. Identification of a region within 5’UTR of Interleukin-2 mRNA offers a promising strategy of drug development for autoimmune disorders.

File format: MRC
Resolution: low / not applicable

The dataset is provided as supporting data for the associated publication.
DOI: 10.17632/mxsb7snyvx
title: Glioblastoma Multiforme Brain MRI Dataset for Tumor Detection and Classification

description: The dataset consists of MRI brain scans of healthy subjects and patients diagnosed with Glioblastoma, collected from JK CT Scan & Research Centre, Jammu – 180003, India, during the period 2 March 2023 to 10 March 2024.

The data collection process was carried out under the supervision and clinical guidance of Dr. Sahil Gupta, Consultant Radiologist and Director at JK CT Scan & Research Centre. Dr. Gupta facilitated access to the MRI scans, ensured clinical correctness of diagnoses, and verified that all scans were acquired following standard radiological protocols.

All MRI data were fully anonymized prior to being handed over for research use. No personally identifiable information (PII) such as patient names, registration numbers, or demographic identifiers was included in the dataset. The data were provided strictly for academic and non-commercial research purposes, in compliance with ethical standards and patient confidentiality norms.
DOI: 10.17632/mxsb7snyvx.2
title: Glioblastoma Multiforme Brain MRI Dataset for Tumor Detection and Classification

description: The dataset consists of MRI brain scans of healthy subjects and patients diagnosed with Glioblastoma, collected from JK CT Scan & Research Centre, Jammu – 180003, India, during the period 2 March 2023 to 10 March 2024.

The data collection process was carried out under the supervision and clinical guidance of Dr. Sahil Gupta, Consultant Radiologist and Director at JK CT Scan & Research Centre. Dr. Gupta facilitated access to the MRI scans, ensured clinical correctness of diagnoses, and verified that all scans were acquired following standard radiological protocols.

All MRI data were fully anonymized prior to being handed over for research use. No personally identifiable information (PII) such as patient names, registration numbers, or demographic identifiers was included in the dataset. The data were provided strictly for academic and non-commercial research purposes, in compliance with ethical standards and patient confidentiality norms.
DOI: 10.17632/8v84tgdd2b
title: Carbon flux and environmental variable data

description: The carbon flux and environmental variable dataset used in this study is derived from long-term eddy covariance observations collected at more than 20 flux tower sites, comprising a total of 1120 site-month records.
All variables are aggregated to the monthly cumulative scale. Columns 1–14 contain environmental variables, describing the meteorological, ecological, and surface conditions at each flux tower site, while columns 15–17 represent carbon flux variables, including gross primary productivity (GPP), ecosystem respiration (ER), and net ecosystem productivity (NEP).
Each row corresponds to observations from a single flux tower site for a specific month. All data underwent standard quality control, gap-filling, and consistency checks prior to analysis to ensure temporal and spatial comparability among sites. This dataset forms the basis for carbon flux modeling, sensitivity analysis, and model validation conducted in this study.
DOI: 10.17632/8v84tgdd2b.1
title: Carbon flux and environmental variable data

description: The carbon flux and environmental variable dataset used in this study is derived from long-term eddy covariance observations collected at more than 20 flux tower sites, comprising a total of 1120 site-month records.
All variables are aggregated to the monthly cumulative scale. Columns 1–14 contain environmental variables, describing the meteorological, ecological, and surface conditions at each flux tower site, while columns 15–17 represent carbon flux variables, including gross primary productivity (GPP), ecosystem respiration (ER), and net ecosystem productivity (NEP).
Each row corresponds to observations from a single flux tower site for a specific month. All data underwent standard quality control, gap-filling, and consistency checks prior to analysis to ensure temporal and spatial comparability among sites. This dataset forms the basis for carbon flux modeling, sensitivity analysis, and model validation conducted in this study.