cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.7fh8jy
title: Occurrence Download

description: A dataset containing 65594 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "PublishingCountry is Colombia",
 {
 "and" : [
 "Country is Colombia",
 {
 "not" : {
 "Issue" : [
 "is Country coordinate mismatch"
 ]
 }
 }
 ]
 }
 ]
 },
 {
 "and" : [
 {
 "or" : [
 "Geometry POLYGON((-75.26086 5.392,-75.26086 5.3332,-75.10886 5.3332,-75.10886 5.392,-75.26086 5.392))",
 "Geometry POLYGON((-75.17798 5.38073,-75.1855 5.38041,-75.19089 5.37672,-75.1892 5.36703,-75.18073 5.35565,-75.16306 5.35565,-75.1566 5.36671,-75.16179 5.38041,-75.17798 5.38073))"
 ]
 },
 "TaxonKey is one of (Aves [GBIF Backbone Taxonomy])"
 ]
 }
 ]
}

 The dataset includes 65594 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012921-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/y5hmc6
title: Replication Data for: Intrastate Conflict, War Finance, and the Expropriation of Foreign Firms

description: replication files for "Intrastate Conflict, War Finance, and the Expropriation of Foreign Firms"
DOI: 10.57760/sciencedb.36925
title: TVA: A Tri-level Gradient Preference Dataset for Value Alignment for Large Language Models
title: 面向大语言模型价值观对齐的三元梯度偏好数据集

description: The TVA dataset contains 7690 value aligned triplet gradient preference data, with a size of 22.7MB, stored in JSON format. Each sample has four attributes: instruction, outputted as good, outputted as medium, and outputted as bad, corresponding to question, excellent response, intermediate response, and poor response, respectively. According to the rating verification of the large model, each triplet can be divided into three sets of binary preference data, totaling 23070 pieces of data for model training. All samples have been cleaned and desensitized. As the dataset contains negative and inferior samples used for violations, it is recommended to strictly follow the guidelines for academic research and safety alignment training only. 
description: The TVA dataset contains 7690 value aligned triplet gradient preference data, with a size of 22.7MB, stored in JSON format. Each sample has four attributes: instruction, outputted as good, outputted as medium, and outputted as bad, corresponding to question, excellent response, intermediate response, and poor response, respectively. According to the rating verification of the large model, each triplet can be divided into three sets of binary preference data, totaling 23070 pieces of data for model training. All samples have been cleaned and desensitized. As the dataset contains negative and inferior samples used for violations, it is recommended to strictly follow the guidelines for academic research and safety alignment training only.
DOI: 10.57760/sciencedb.27082
title: Enhancing LIDT of picosecond laser mirrors using graded-refractive-index multilayer structures
title: Enhancing LIDT of picosecond laser mirrors using graded-refractive-index multilayer structures

description: Graded-refractive-index multilayer architectures are examined as a means of improving the laser-induced damage threshold (LIDT) of picosecond laser mirrors operating. The Al2O3 and Al2O3/HfO2 nanolaminates are employed as high refractive index (n) materials to form a mirror structure, where the n values of the high-n layers gradually increase along the direction of the electric field attenuation.  Compared with a conventional M-constant mirror based on a fixed-n Al2O3/HfO2 mixture, the M-Graded mirror shows a 1.49-fold increase in LIDT under picosecond laser irradiation, while the reflection bandwidth above 99.5% reflectivity decreases by only ~6.9%. Observation of laser-induced damage sites indicates that damage initiation is mainly associated with surface nanoscale absorptive defects, suggesting that redistribution of the electric field through graded-refractive-index multilayers helps suppress damage and improve the LIDT of high-power picosecond laser mirrors.
description: Graded-refractive-index multilayer architectures are examined as a means of improving the laser-induced damage threshold (LIDT) of picosecond laser mirrors operating. The Al2O3 and Al2O3/HfO2 nanolaminates are employed as high refractive index (n) materials to form a mirror structure, where the n values of the high-n layers gradually increase along the direction of the electric field attenuation.  Compared with a conventional M-constant mirror based on a fixed-n Al2O3/HfO2 mixture, the M-Graded mirror shows a 1.49-fold increase in LIDT under picosecond laser irradiation, while the reflection bandwidth above 99.5% reflectivity decreases by only ~6.9%. Observation of laser-induced damage sites indicates that damage initiation is mainly associated with surface nanoscale absorptive defects, suggesting that redistribution of the electric field through graded-refractive-index multilayers helps suppress damage and improve the LIDT of high-power picosecond laser mirrors.
DOI: 10.57760/sciencedb.36462
title: HPRC samples R9.4.1 bam files (21)
title: HPRC samples R9.4.1 bam files (21)

description: Raw basecalled BAM files were downloaded from human pangenome reference consortium https://s3-us-west-2.amazonaws.com/human-pangenomics/index.html?prefix=working/.BAM files were re-aligned to the GRCh38 reference genome (GenBank assembly ID GCA_000001405.15) using Dorado v0.7.2 with command "dorado aligner -t 80 --mm2-preset "-x map-ont" ${reference.fa} ${input.bam} --output-dir ${outdir}/${output}", followed by catting, sorting , and indexing with Samtools.
description: Raw basecalled BAM files were downloaded from human pangenome reference consortium https://s3-us-west-2.amazonaws.com/human-pangenomics/index.html?prefix=working/.BAM files were re-aligned to the GRCh38 reference genome (GenBank assembly ID GCA_000001405.15) using Dorado v0.7.2 with command "dorado aligner -t 80 --mm2-preset "-x map-ont" ${reference.fa} ${input.bam} --output-dir ${outdir}/${output}", followed by catting, sorting , and indexing with Samtools.
DOI: 10.57760/sciencedb.30784
title: Qualitative and Empirical Research Data on the Addiction AEB-P Model
title: 成瘾AEB-P模型质性研究与实证研究数据

description: The data include Interview Outline for the Process of Addictive Behaviors, Questionnaire on the Transition from Craving to Behavior , 25 interview records from qualitative studies, survey data from 1,418 participants in social questionnaires, and survey data from 170 compulsory isolated drug abstainers. Also included are processed datasets, containing data analyzed by SPSS and data analyzed by JASP.
description: The data include Interview Outline for the Process of Addictive Behaviors, Questionnaire on the Transition from Craving to Behavior , 25 interview records from qualitative studies, survey data from 1,418 participants in social questionnaires, and survey data from 170 compulsory isolated drug abstainers. Also included are processed datasets, containing data analyzed by SPSS and data analyzed by JASP.
DOI: 10.57760/sciencedb.08258
title: Full-coverage estimation of CO2 concentrations in China via multisource satellite data and Deep Forest model
title: Full-coverage estimation of CO2 concentrations in China via multisource satellite data and Deep Forest model

description: Our dataset consists of monthly XCO2 values processed at a spatial resolution of 0.05°. It spans the period from 2015 to 2022 and covers the geographical extent of China, including 31 provinces and autonomous regions.
description: Our dataset consists of monthly XCO2 values processed at a spatial resolution of 0.05°. It spans the period from 2015 to 2022 and covers the geographical extent of China, including 31 provinces and autonomous regions.
DOI: 10.57760/sciencedb.36390
title: HPRC samples R9.4.1 bam files (20)
title: HPRC samples R9.4.1 bam files (20)

description: Raw basecalled BAM files were downloaded from human pangenome reference consortium https://s3-us-west-2.amazonaws.com/human-pangenomics/index.html?prefix=working/.BAM files were re-aligned to the GRCh38 reference genome (GenBank assembly ID GCA_000001405.15) using Dorado v0.7.2 with command "dorado aligner -t 80 --mm2-preset "-x map-ont" ${reference.fa} ${input.bam} --output-dir ${outdir}/${output}", followed by catting, sorting , and indexing with Samtools.
description: Raw basecalled BAM files were downloaded from human pangenome reference consortium https://s3-us-west-2.amazonaws.com/human-pangenomics/index.html?prefix=working/.BAM files were re-aligned to the GRCh38 reference genome (GenBank assembly ID GCA_000001405.15) using Dorado v0.7.2 with command "dorado aligner -t 80 --mm2-preset "-x map-ont" ${reference.fa} ${input.bam} --output-dir ${outdir}/${output}", followed by catting, sorting , and indexing with Samtools.
DOI: 10.57760/sciencedb.36920
title: Nanomaterial-Mediated Negative Wear Technology: A Novel Microscale Additive Manufacturing Approach
title: Nanomaterial-Mediated Negative Wear Technology: A Novel Microscale Additive Manufacturing Approach

description: This dataset presents the morphological, dimensional, phase and structural characterization results of functional micro/nanostructures fabricated via the Negweartech technique, and validates the application potential of this technique in the fabrication of micro-supercapacitors. The equipment used in this study is a home-made ball-on-flat micro-tribometer.
description: This dataset presents the morphological, dimensional, phase and structural characterization results of functional micro/nanostructures fabricated via the Negweartech technique, and validates the application potential of this technique in the fabrication of micro-supercapacitors. The equipment used in this study is a home-made ball-on-flat micro-tribometer.
DOI: 10.15468/dl.rcy569
title: Occurrence Download

description: A dataset containing 75 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Actaea heracleifolia",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 75 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012996-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57760/sciencedb.36935
title: Data of SSA-ELM Prediction Model for Roadside Support Stress in No-Pillar Mining
title: Data of SSA-ELM Prediction Model for Roadside Support Stress in No-Pillar Mining

description: Aiming at the problem that the complex stress evolution of roadside walls in no-pillar coal mining makes it difficult to accurately judge the wall state, a mining-induced stress response database was constructed through FLAC3D numerical simulation, and an intelligent stress prediction model based on the Sparrow Search Algorithm optimized Extreme Learning Machine (SSA-ELM) was established. The parameters used for model input in the database include: mining distance, wall width, burial depth, roadway width, position, wall height, strike length, and dip length.
description: Aiming at the problem that the complex stress evolution of roadside walls in no-pillar coal mining makes it difficult to accurately judge the wall state, a mining-induced stress response database was constructed through FLAC3D numerical simulation, and an intelligent stress prediction model based on the Sparrow Search Algorithm optimized Extreme Learning Machine (SSA-ELM) was established. The parameters used for model input in the database include: mining distance, wall width, burial depth, roadway width, position, wall height, strike length, and dip length.
DOI: 10.57760/sciencedb.16115
title: Seasonal nitrogen enrichment alters plant community stability–area relationship through decreased biodiversity, species asynchrony, and population stability
title: Seasonal nitrogen enrichment alters plant community stability–area relationship through decreased biodiversity, species asynchrony, and population stability

description: These data files were analysed to produce the statistics and figures reported in the paper about seasonal nitrogen addition and multi-scale stability.The field experiment was conducted on a temperate grassland near the Inner Mongolia Grassland Ecosystem Research Station (IMGERS; 116°42′E, 43°38′N) of the Chinese Academy of Sciences, located in the Xilin River Basin, Inner Mongolia, China. This seasonal nitrogen addition experiment was established in July 2014 and the data was from 2014 to 2020.The file "data_all.csv" is the data used for Figures 1-4 and Table 1 in the article, and “data_figure_1.csv” is the additional data used for Figure 1 in the article.The file "R_Code_CSAR_2026.R" is the code for the R software, which is used to generate statistics and figures.
description: These data files were analysed to produce the statistics and figures reported in the paper about seasonal nitrogen addition and multi-scale stability.The field experiment was conducted on a temperate grassland near the Inner Mongolia Grassland Ecosystem Research Station (IMGERS; 116°42′E, 43°38′N) of the Chinese Academy of Sciences, located in the Xilin River Basin, Inner Mongolia, China. This seasonal nitrogen addition experiment was established in July 2014 and the data was from 2014 to 2020.The file "data_all.csv" is the data used for Figures 1-4 and Table 1 in the article, and “data_figure_1.csv” is the additional data used for Figure 1 in the article.The file "R_Code_CSAR_2026.R" is the code for the R software, which is used to generate statistics and figures.
DOI: 10.57760/sciencedb.36505
title: Challenges and Strategies in Thermal Failure Resistance Assessment of Weak Absorption Materials under HPCW Irradiation
title: Challenges and Strategies in Thermal Failure Resistance Assessment of Weak Absorption Materials under HPCW Irradiation

description: Accurate assessment of thermal failure resistance of weak absorption components is crucial for high-power continuous-wave (HPCW) laser systems. Conventional assessments, which predominantly rely on small-spot tests and irradiance equivalence, often overestimate component reliability. This study introduces characteristic temperature rise as the criterion, and investigates the thermal behavior of fused silica, BK7, and K9 across varying spot sizes through simulation and experiment. Results show strong spot-size dependence of thermal behaviors, and convergence of required irradiance at large spots. A criterion for the minimum representative spot size is established based on thermal diffusion mechanism, to ensure that the irradiance under this spot size remains within ±10% of the full-aperture values. The recommended minimum spot diameters are 14 mm for BK7/K9, and 15 mm for fused silica to represent the real thermal tolerance. This work provides a reliable assessment method for thermal performance of weak absorption materials in HPCW systems.
description: Accurate assessment of thermal failure resistance of weak absorption components is crucial for high-power continuous-wave (HPCW) laser systems. Conventional assessments, which predominantly rely on small-spot tests and irradiance equivalence, often overestimate component reliability. This study introduces characteristic temperature rise as the criterion, and investigates the thermal behavior of fused silica, BK7, and K9 across varying spot sizes through simulation and experiment. Results show strong spot-size dependence of thermal behaviors, and convergence of required irradiance at large spots. A criterion for the minimum representative spot size is established based on thermal diffusion mechanism, to ensure that the irradiance under this spot size remains within ±10% of the full-aperture values. The recommended minimum spot diameters are 14 mm for BK7/K9, and 15 mm for fused silica to represent the real thermal tolerance. This work provides a reliable assessment method for thermal performance of weak absorption materials in HPCW systems.
DOI: 10.57760/sciencedb.34269
title: Condition-Embedded Visible-Infrared image dataset for typical ground features
title: Condition-Embedded Visible-Infrared image dataset for typical ground features

description: Infrared imaging is significantly influenced by weather, temperature and humidity, indicating notable differences in infrared characteristics for the same scene under varying weather conditions. Therefore, studying translation from visible light images to infrared images must consider the conditional information. However, existing visible-light-infrared image datasets do not account for conditional information. This dataset rigorously records imaging condition information. From 2022 to 2024, it has accumulated 22,435 pair data with condition information from multiple regions, covering five kinds of weather including cloudy, sunny, rainy, snowy, and foggy. The scenes include eight typical ground features such as water, forest, grassland, beach, farmland, buildings, roads, and bare land. It accurately records information such as temperature, humidity etc. at the moment of data collection. This dataset provides data support for studying the precise translation between visible light and infrared images.
description: Infrared imaging is significantly influenced by weather, temperature and humidity, indicating notable differences in infrared characteristics for the same scene under varying weather conditions. Therefore, studying translation from visible light images to infrared images must consider the conditional information. However, existing visible-light-infrared image datasets do not account for conditional information. This dataset rigorously records imaging condition information. From 2022 to 2024, it has accumulated 22,435 pair data with condition information from multiple regions, covering five kinds of weather including cloudy, sunny, rainy, snowy, and foggy. The scenes include eight typical ground features such as water, forest, grassland, beach, farmland, buildings, roads, and bare land. It accurately records information such as temperature, humidity etc. at the moment of data collection. This dataset provides data support for studying the precise translation between visible light and infrared images.
DOI: 10.57760/sciencedb.36972
title: Miniaturized module for laser frequency stabilization at 778 nm via rubidium two-photon transition
title: Miniaturized module for laser frequency stabilization at 778 nm via rubidium two-photon transition

description: We present a miniaturized laser frequency-stabilization module based on the 87Rb 5S1/2 → 5D5/2 two-photon transition. A 778 nm external-cavity diode laser excites the atoms in a small vapor cell, and the generated 420 nm fluorescence provides the stabilization for closed-loop feedback. The optical system—including micro-optics, a vapor cell, and a heater—is fully integrated on a 3D-printed nylon substrate with a total volume of 20 mL and a weight of 10.4 g. By optimizing the structure and stabilization scheme, we obtain a high-SNR fluorescence signal and error signal. The stabilized laser reaches fractional frequency stability of 1.1×10−11 at 1 s and 2.89×10−13 at 100 s, improving performance by an order of magnitude over the free-running case.
description: We present a miniaturized laser frequency-stabilization module based on the 87Rb 5S1/2 → 5D5/2 two-photon transition. A 778 nm external-cavity diode laser excites the atoms in a small vapor cell, and the generated 420 nm fluorescence provides the stabilization for closed-loop feedback. The optical system—including micro-optics, a vapor cell, and a heater—is fully integrated on a 3D-printed nylon substrate with a total volume of 20 mL and a weight of 10.4 g. By optimizing the structure and stabilization scheme, we obtain a high-SNR fluorescence signal and error signal. The stabilized laser reaches fractional frequency stability of 1.1×10−11 at 1 s and 2.89×10−13 at 100 s, improving performance by an order of magnitude over the free-running case.
DOI: 10.57760/sciencedb.36951
title: Analytical dataset on the temperature sensitivity of microbial carbon and nitrogen use efficiencies in forest soils
title: Analytical dataset on the temperature sensitivity of microbial carbon and nitrogen use efficiencies in forest soils

description: This analytical dataset supports a study investigating the temperature sensitivity of microbial carbon use efficiency (CUE) and nitrogen use efficiency (NUE) across 11 forest sites distributed along a ~4000 km north-south transect in eastern China. Temperature sensitivities, expressed as Q10 values, were calculated for CUE and NUE across two temperature intervals (12-20 °C and 20-28 °C), and multiple regression and model averaging were applied to identify the key drivers shaping their coupled variation. The dataset includes the processed data used in the statistical analyses and the corresponding R code, enabling reproducibility of the results. All methodological details are described in the associated article.
description: This analytical dataset supports a study investigating the temperature sensitivity of microbial carbon use efficiency (CUE) and nitrogen use efficiency (NUE) across 11 forest sites distributed along a ~4000 km north-south transect in eastern China. Temperature sensitivities, expressed as Q10 values, were calculated for CUE and NUE across two temperature intervals (12-20 °C and 20-28 °C), and multiple regression and model averaging were applied to identify the key drivers shaping their coupled variation. The dataset includes the processed data used in the statistical analyses and the corresponding R code, enabling reproducibility of the results. All methodological details are described in the associated article.