cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/p2ntghvkxw.1
title: Harnessing Azolla Cultivation in Water Treatment Ponds as a Sustainable Strategy for Water Conservation, Carbon Sequestration, and Environmental Management in Arid Ecosystems

description: Raw data Excel file along with Word file of variance analysis and mean comparison tables as well as gene expression graphs. The results from qRT-PCR and other parameters assays were analyzed using a complementary randomized design with three replications. Data from qRT-PCR were processed using StepOneTM Software v2.3, while analysis of variance (ANOVA) was conducted using SPSS (version 16.0, Chicago, IL), with mean comparisons performed using Duncan's test (p&lt;0.05).
DOI: 10.17632/kxgnwcw2zy
title: Priming effect and microbial carbon use efficiency in coastal saline soils: Responses to soil salinity and carbon availability (Research data)

description: Soil salinization in coastal regions exerts negative impacts on soil fertility, plant productivity, and overall ecosystem stability. Although the critical role of soil organic matter (SOM) augmentation in saline soil amelioration is widely acknowledged, the transformation processes and underlying mechanisms of organic carbon (C) in coastal saline soils remain poorly understood. This study employed ¹³C-labeled maize (Zea mays L.) straw to track microbial C transformations in salt-affected soils from China's Bohai Rim region. Through a 180-day controlled incubation experiment, we quantified how salinity gradients (low-, medium-, and high-salinity) and C availability (with/without field straw return) regulate priming effects (PE) and microbial carbon use efficiency (CUE).
DOI: 10.17632/kxgnwcw2zy.1
title: Priming effect and microbial carbon use efficiency in coastal saline soils: Responses to soil salinity and carbon availability (Research data)

description: Soil salinization in coastal regions exerts negative impacts on soil fertility, plant productivity, and overall ecosystem stability. Although the critical role of soil organic matter (SOM) augmentation in saline soil amelioration is widely acknowledged, the transformation processes and underlying mechanisms of organic carbon (C) in coastal saline soils remain poorly understood. This study employed ¹³C-labeled maize (Zea mays L.) straw to track microbial C transformations in salt-affected soils from China's Bohai Rim region. Through a 180-day controlled incubation experiment, we quantified how salinity gradients (low-, medium-, and high-salinity) and C availability (with/without field straw return) regulate priming effects (PE) and microbial carbon use efficiency (CUE).
DOI: 10.15468/dl.d2eaqf
title: Occurrence Download

description: A dataset containing 743 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Material sample, Material citation, Specimen, Living Specimen, Occurrence evidence)",
 "Continent is Asia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Oxya chinensis"
 ]
}

 The dataset includes 743 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046021-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uzssx6
title: Occurrence Download

description: A dataset containing 27 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Trachemys scripta",
 "Country is Israel",
 "HasCoordinate is true"
 ]
}

 The dataset includes 27 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046022-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/f6sn8y7pty
title: Analysis of Surface Age Dating Techniques and Uncertainties through Comparison of Independently Determined Crater Size-Frequency Distributions at Two Lunar Landing Sites

description: Datasets supporting 2025 PSJ journal manuscript: Analysis of Surface Age Dating Techniques and Uncertainties through Comparison of Independently Determined Crater Size-Frequency Distributions at Two Lunar Landing Sites

Thomas A. Giguere a*, Julie D. Stopar b, Jaclyn D. Clark c, Joseph M. Boyce a, and Jeffrey J. Gillis-Davis d
a Hawaiʻi Institute of Geophysics and Planetology, Department of Earth Sciences, University of Hawaiʻi at Manoa, 1680 East-West Road, Honolulu, HI, 96822, United States, 
b Lunar and Planetary Institute (USRA), 3600 Bay Area Boulevard, Houston, TX 77058, 
c University of Maryland, Department of Geology, College Park, MD 20742, 
d Washington University, Department of Physics, One Brookings Drive, St. Louis, MO 63130.
* Corresponding author: Thomas Giguere, e-mail address: giguere@hawaii.edu
DOI: 10.17632/f6sn8y7pty.1
title: Analysis of Surface Age Dating Techniques and Uncertainties through Comparison of Independently Determined Crater Size-Frequency Distributions at Two Lunar Landing Sites

description: Datasets supporting 2025 PSJ journal manuscript: Analysis of Surface Age Dating Techniques and Uncertainties through Comparison of Independently Determined Crater Size-Frequency Distributions at Two Lunar Landing Sites

Thomas A. Giguere a*, Julie D. Stopar b, Jaclyn D. Clark c, Joseph M. Boyce a, and Jeffrey J. Gillis-Davis d
a Hawaiʻi Institute of Geophysics and Planetology, Department of Earth Sciences, University of Hawaiʻi at Manoa, 1680 East-West Road, Honolulu, HI, 96822, United States, 
b Lunar and Planetary Institute (USRA), 3600 Bay Area Boulevard, Houston, TX 77058, 
c University of Maryland, Department of Geology, College Park, MD 20742, 
d Washington University, Department of Physics, One Brookings Drive, St. Louis, MO 63130.
* Corresponding author: Thomas Giguere, e-mail address: giguere@hawaii.edu
DOI: 10.15468/dl.e8vjwf
title: Occurrence Download

description: A dataset containing 3448 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Trachemys scripta",
 "Country is Italy",
 "HasCoordinate is true"
 ]
}

 The dataset includes 3448 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046023-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zcvrdu
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Trachemys scripta",
 "Country is Jamaica",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046024-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/j6mxgsg6b8.2
title: Data and analysis for: IL1B⁺ TAMs Arise from Inflammatory CAF Niches and Are Associated with HNSCC Recurrence

description: Data and analysis for: IL1B⁺ TAMs Arise from Inflammatory CAF Niches and Are Associated with HNSCC Recurrence
DOI: 10.5281/zenodo.16421964
title: MD simulation of compound 78 in complex with GPR183
DOI: 10.5281/zenodo.16421965
title: MD simulation of compound 78 in complex with GPR183
DOI: 10.17632/cx4sy635cs
title: Impact of Tariff Shocks on Exploratory Innovation by Firms in Exporting Countries: Evidence from the U.S. Tariff Increases to China

description: This dataset is designed to examine the impact of the 2018 U.S. tariff escalation against China on the exploratory innovation activities of Chinese listed firms. It contains variables measuring the intensity of U.S. tariff shocks, along with firm-level financial indicators and proxies for exploratory innovation among publicly listed companies in China.
DOI: 10.17632/cx4sy635cs.1
title: Impact of Tariff Shocks on Exploratory Innovation by Firms in Exporting Countries: Evidence from the U.S. Tariff Increases to China

description: This dataset is designed to examine the impact of the 2018 U.S. tariff escalation against China on the exploratory innovation activities of Chinese listed firms. It contains variables measuring the intensity of U.S. tariff shocks, along with firm-level financial indicators and proxies for exploratory innovation among publicly listed companies in China.
DOI: 10.15468/dl.wbv5up
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Salvelinus lonsdalii)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046025-250717081556266/datasets/export for details.
DOI: 10.15468/dl.t5jhcq
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Pteronura brasiliensis)",
 "Country is one of (Åland Islands, Albania, Andorra, Austria, Belarus, Belgium, Bosnia and Herzegovina, Bulgaria, Croatia, Czechia, Denmark, Estonia, Faroe Islands, Finland, France, Germany, Gibraltar, Greece, Guernsey, Holy See, Hungary, Iceland, Ireland, Isle of Man, Italy, Jersey, Latvia, Liechtenstein, Lithuania, Luxembourg, Malta, Moldova, Republic of, Monaco, Montenegro, Netherlands, North Macedonia, Norway, Poland, Portugal, Romania, Russian Federation, San Marino, Serbia, Slovakia, Slovenia, Spain, Svalbard and Jan Mayen, Sweden, Switzerland, Ukraine, United Kingdom of Great Britain and Northern Ireland)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046026-250717081556266/datasets/export for details.
DOI: 10.15468/dl.sx8xy9
title: Occurrence Download

description: A dataset containing 75525 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Germany",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Pieris rapae"
 ]
}

 The dataset includes 75525 records from 170 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045995-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7gek7t
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Callinectes sapidus",
 "Country is Egypt",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046027-250717081556266/datasets/export for details.
DOI: 10.15468/dl.qjynfm
title: Occurrence Download

description: A dataset containing 337 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Callinectes sapidus",
 "Country is Greece",
 "HasCoordinate is true"
 ]
}

 The dataset includes 337 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046028-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wmtwad
title: Occurrence Download

description: A dataset containing 32 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Callinectes sapidus",
 "Country is Montenegro",
 "HasCoordinate is true"
 ]
}

 The dataset includes 32 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046029-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.t9yu2x
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Pteronura brasiliensis)",
 "Country is one of (American Samoa, Australia, Christmas Island, Cocos (Keeling) Islands, Cook Islands, Fiji, French Polynesia, Guam, Heard Island and McDonald Islands, Kiribati, Marshall Islands, Micronesia (Federated States of), Nauru, New Caledonia, New Zealand, Niue, Norfolk Island, Northern Mariana Islands, Palau, Papua New Guinea, Pitcairn, Samoa, Solomon Islands, Tokelau, Tonga, Tuvalu, United States Minor Outlying Islands, Vanuatu, Wallis and Futuna)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046030-250717081556266/datasets/export for details.
DOI: 10.17632/tpmznxhs2b
title: Northeast China Industrial Growth Data and SARIMA-LSTM Analysis (2000-2024)

description: This comprehensive dataset supports the research paper "A Technical Framework for Data-Driven Industrial Transformation in Northeast China" analyzing industrial transformation patterns across five major Chinese regions from 2000 to 2024.

**Dataset Contents:**

1. **Main Time Series Data** (industrial_growth_data_2000_2024.csv)
 - 293 monthly observations of industrial value-added growth rates
 - Five regions: Liaoning, Beijing, Jiangsu, Shanghai, Guangdong
 - Price-adjusted growth rates (%) from National Bureau of Statistics
 - Time span: January 2000 - October 2024

2. **Regional Comparison Data** (shenfu_regional_comparison_data.csv)
 - 24 monthly observations for policy impact analysis
 - Shenyang-Fushun Demonstration Zone vs. other regions
 - Time span: 2020-2024

3. **Comprehensive Economic Indicators** (comprehensive_economic_indicators.csv)
 - 52 quarterly observations of multiple economic metrics
 - Fixed asset investment, industrial output, fiscal indicators
 - Supporting data for multi-dimensional analysis

4. **Analysis Code** (analysis_code_SARIMA_LSTM.py)
 - Complete Python implementation of SARIMA and LSTM models
 - Data preprocessing and visualization functions
 - Regional coordination analysis algorithms

**Research Applications:**
- Time series forecasting using SARIMA and LSTM neural networks
- Regional development pattern analysis
- Policy intervention impact assessment
- Industrial transformation trend identification

**Technical Requirements:**
- Python 3.8+
- pandas, numpy, matplotlib, seaborn libraries
- For SARIMA/LSTM modeling: statsmodels, tensorflow/keras

**How to Reproduce Results:**
1. Download all files
2. Install required Python packages
3. Update file paths in the Python script
4. Run analysis_code_SARIMA_LSTM.py

**Related Publication:**
Chen, Y., & Li, D. (2024). A Technical Framework for Data-Driven Industrial Transformation in Northeast China. The European Journal of Applied Economics.

**Data Source:** National Bureau of Statistics of China, Regional Statistical Yearbooks
**Collection Period:** 2000-2024
**Geographic Coverage:** Northeast China (Liaoning) and comparative regions
**Temporal Resolution:** Monthly and quarterly data
DOI: 10.17632/tpmznxhs2b.1
title: Northeast China Industrial Growth Data and SARIMA-LSTM Analysis (2000-2024)

description: This comprehensive dataset supports the research paper "A Technical Framework for Data-Driven Industrial Transformation in Northeast China" analyzing industrial transformation patterns across five major Chinese regions from 2000 to 2024.

**Dataset Contents:**

1. **Main Time Series Data** (industrial_growth_data_2000_2024.csv)
 - 293 monthly observations of industrial value-added growth rates
 - Five regions: Liaoning, Beijing, Jiangsu, Shanghai, Guangdong
 - Price-adjusted growth rates (%) from National Bureau of Statistics
 - Time span: January 2000 - October 2024

2. **Regional Comparison Data** (shenfu_regional_comparison_data.csv)
 - 24 monthly observations for policy impact analysis
 - Shenyang-Fushun Demonstration Zone vs. other regions
 - Time span: 2020-2024

3. **Comprehensive Economic Indicators** (comprehensive_economic_indicators.csv)
 - 52 quarterly observations of multiple economic metrics
 - Fixed asset investment, industrial output, fiscal indicators
 - Supporting data for multi-dimensional analysis

4. **Analysis Code** (analysis_code_SARIMA_LSTM.py)
 - Complete Python implementation of SARIMA and LSTM models
 - Data preprocessing and visualization functions
 - Regional coordination analysis algorithms

**Research Applications:**
- Time series forecasting using SARIMA and LSTM neural networks
- Regional development pattern analysis
- Policy intervention impact assessment
- Industrial transformation trend identification

**Technical Requirements:**
- Python 3.8+
- pandas, numpy, matplotlib, seaborn libraries
- For SARIMA/LSTM modeling: statsmodels, tensorflow/keras

**How to Reproduce Results:**
1. Download all files
2. Install required Python packages
3. Update file paths in the Python script
4. Run analysis_code_SARIMA_LSTM.py

**Related Publication:**
Chen, Y., & Li, D. (2024). A Technical Framework for Data-Driven Industrial Transformation in Northeast China. The European Journal of Applied Economics.

**Data Source:** National Bureau of Statistics of China, Regional Statistical Yearbooks
**Collection Period:** 2000-2024
**Geographic Coverage:** Northeast China (Liaoning) and comparative regions
**Temporal Resolution:** Monthly and quarterly data
DOI: 10.26207/w05j-gn95
title: Data for “Can the Nutritional Geometric Framework unveil how macronutrients in pollen shape solitary bee foraging and survival?”

description: Data for the leafcutting bees foraging behavior study using recombinant inbred lines of Capsella plant species, and their macronutrient regulation assays.
DOI: 10.15468/dl.rc2b6c
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Pteronura brasiliensis)",
 "Country is one of (Algeria, Angola, Benin, Botswana, British Indian Ocean Territory, Burkina Faso, Burundi, Cabo Verde, Cameroon, Central African Republic, Chad, Comoros, Congo, Congo, Democratic Republic of the, Côte d’Ivoire, Djibouti, Egypt, Equatorial Guinea, Eritrea, Eswatini, Ethiopia, French Southern Territories, Gabon, Gambia, Ghana, Guinea, Guinea-Bissau, Kenya, Lesotho, Liberia, Libya, Madagascar, Malawi, Mali, Mauritania, Mauritius, Mayotte, Morocco, Mozambique, Namibia, Niger, Nigeria, Réunion, Rwanda, Saint Helena, Ascension and Tristan da Cunha, Sao Tome and Principe, Senegal, Seychelles, Sierra Leone, Somalia, South Africa, South Sudan, Sudan, Tanzania, United Republic of, Togo, Tunisia, Uganda, Western Sahara, Zambia, Zimbabwe)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046031-250717081556266/datasets/export for details.
DOI: 10.17632/ccgb54z55g
title: Triply Periodic Minimal Surface (TPMS) sheet structures with orthorhombic symmetry

description: This dataset accompanies the article: "TPMS sheet structures with orthorhombic symmetry: anisotropic elasticity and energy absorption". Four TPMS topologies are investigated (CLP, I-6, I-8, and I-9). Three in-plane cell aspect ratios are considered; a/b = 1, a/b = 2/3, and a/b = 3/7 (denoted by “a1b1”, “a2b3”, and “a3b7” in the file names, respectively). File descriptions:
"Abaqus input (.inp)": Abaqus input files for (1) the linear implicit FEA (unit cell) and (2) the nonlinear explicit FEA (cell array).
"Experimental test data": Includes (1) ASTM tension/compression test data of the solid Grey V5 material. (2) Compression test data of the TPMS structures, with accompanying sample photos and video stills.
"STL": Triangulated surface *.stl files of the TPMS designs. Includes (1) unit cell (shell) models for linear FEA. (2) Cell array (shell) models for nonlinear FEA (the shells are subsequently thickness offset to form solid elements in Abaqus). (3) Cell array (0.3 mm thickness) volumetric models for additive manufacture.
"Surface Evolver": Surface Evolver files for generating the minimal surfaces.
For additional information about the project, refer to the journal paper mentioned above.
DOI: 10.17632/ccgb54z55g.1
title: Triply Periodic Minimal Surface (TPMS) sheet structures with orthorhombic symmetry

description: This dataset accompanies the article: "TPMS sheet structures with orthorhombic symmetry: anisotropic elasticity and energy absorption". Four TPMS topologies are investigated (CLP, I-6, I-8, and I-9). Three in-plane cell aspect ratios are considered; a/b = 1, a/b = 2/3, and a/b = 3/7 (denoted by “a1b1”, “a2b3”, and “a3b7” in the file names, respectively). File descriptions:
"Abaqus input (.inp)": Abaqus input files for (1) the linear implicit FEA (unit cell) and (2) the nonlinear explicit FEA (cell array).
"Experimental test data": Includes (1) ASTM tension/compression test data of the solid Grey V5 material. (2) Compression test data of the TPMS structures, with accompanying sample photos and video stills.
"STL": Triangulated surface *.stl files of the TPMS designs. Includes (1) unit cell (shell) models for linear FEA. (2) Cell array (shell) models for nonlinear FEA (the shells are subsequently thickness offset to form solid elements in Abaqus). (3) Cell array (0.3 mm thickness) volumetric models for additive manufacture.
"Surface Evolver": Surface Evolver files for generating the minimal surfaces.
For additional information about the project, refer to the journal paper mentioned above.
DOI: 10.15468/dl.ghg3ph
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Trachemys scripta",
 "Country is Jordan",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046034-250717081556266/datasets/export for details.
DOI: 10.15468/dl.v4vzmk
title: Occurrence Download

description: A dataset containing 27075 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Antigone antigone)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "License is one of (CC-BY 4.0, CC0 1.0)"
 ]
}

 The dataset includes 27075 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046032-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jz42t6
title: Occurrence Download

description: A dataset containing 1900 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Trachemys scripta",
 "Country is Japan",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1900 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046033-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/6z9z6bj36h
title: Eight soil heavy metals: Variogram-Distance Graph Attention Kriging for spatial interpolation

description: There are 466 sets of data of eight heavy metals for spatial interpolation of hybrid-method: VDGAK
DOI: 10.17632/6z9z6bj36h.1
title: Eight soil heavy metals: Variogram-Distance Graph Attention Kriging for spatial interpolation

description: There are 466 sets of data of eight heavy metals for spatial interpolation of hybrid-method: VDGAK