cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.29182818
title: Study on the permeability calculation method of carboniferous carbonate reservoirs in the Coastal Caspian Basin based on the characteristics of pore-throat combination

description: Permeability is a key parameter for finding effective reservoirs and evaluating reservoir production capacity, but accurate evaluation of permeability in carbonate reservoirs has always been a challenge. This study proposes a new method for calculating the permeability of carbonate reservoirs. This study focuses on the Carboniferous carbonate reservoirs in the Pre-Caspian Sea Basin and uses high-pressure mercury injection experiments to measure the micropore structure of the reservoirs. According to the distribution of pore throats, it is divided into macropores, mesopores, small pores, and nanopores. Based on Multi-Resolution Graph-based Clustering, a reservoir permeability calculation model is established. The following understandings were obtained: (1) The pore throat radius of small pore is 0.27 μm, and the contribution rate to permeability is 13.8%; (2) The pore throat radius of mesopores is 0.83 μm and a contribution rate of 28.9% to permeability; (3) The pore throat radius of macropore was 3.78 μm, and the contribution rate to permeability was 57.4%; and (4) The model established using MRGC method has good performance. The innovation of this article is to propose a new permeability modeling method for carbonate reservoirs, which can be used for calculating the permeability of reservoirs in other regions.
DOI: 10.6084/m9.figshare.29182818.v1
title: Study on the permeability calculation method of carboniferous carbonate reservoirs in the Coastal Caspian Basin based on the characteristics of pore-throat combination

description: Permeability is a key parameter for finding effective reservoirs and evaluating reservoir production capacity, but accurate evaluation of permeability in carbonate reservoirs has always been a challenge. This study proposes a new method for calculating the permeability of carbonate reservoirs. This study focuses on the Carboniferous carbonate reservoirs in the Pre-Caspian Sea Basin and uses high-pressure mercury injection experiments to measure the micropore structure of the reservoirs. According to the distribution of pore throats, it is divided into macropores, mesopores, small pores, and nanopores. Based on Multi-Resolution Graph-based Clustering, a reservoir permeability calculation model is established. The following understandings were obtained: (1) The pore throat radius of small pore is 0.27 μm, and the contribution rate to permeability is 13.8%; (2) The pore throat radius of mesopores is 0.83 μm and a contribution rate of 28.9% to permeability; (3) The pore throat radius of macropore was 3.78 μm, and the contribution rate to permeability was 57.4%; and (4) The model established using MRGC method has good performance. The innovation of this article is to propose a new permeability modeling method for carbonate reservoirs, which can be used for calculating the permeability of reservoirs in other regions.
DOI: 10.6084/m9.figshare.28652571
title: Reimagining the Kendall plot: using <i>δ</i><sup>15</sup>N and <i>δ</i><sup>18</sup>O of nitrate and advanced machine learning to improve N pollutant source classification

description: Nitrate (NO3−) pollution is a serious water quality issue in many countries due to contamination of lakes, rivers, and aquifers by intensive agriculture practices and inadequate wastewater management. Nitrate pollution and associated cultural eutrophication are anticipated to increase worldwide, highlighting the need to control and reduce nitrogen pollution. The stable isotope ratios of nitrate (<i>δ</i><sup>15</sup>N, <i>δ</i><sup>18</sup>O) are widely used as tracers of nitrogen pollution sources. The primary technique for identifying nitrate sources has been the longstanding Kendall boxplot, despite improved methods using Bayes’ theorem and the R language for estimating source fractions using hydrogeochemical context, N source data and expert assessment. This article improves the classification of aqueous nitrate sources using comprehensive published stable isotope data for nitrate from four known pollutant types and applying machine learning algorithms. AI modelling results reveal improved source depictions and offer a robust statistical framework for identifying N pollution sources. This is essential given the increased published data sources and the need for better-informed water quality management strategies.
DOI: 10.6084/m9.figshare.28652571.v1
title: Reimagining the Kendall plot: using <i>δ</i><sup>15</sup>N and <i>δ</i><sup>18</sup>O of nitrate and advanced machine learning to improve N pollutant source classification

description: Nitrate (NO3−) pollution is a serious water quality issue in many countries due to contamination of lakes, rivers, and aquifers by intensive agriculture practices and inadequate wastewater management. Nitrate pollution and associated cultural eutrophication are anticipated to increase worldwide, highlighting the need to control and reduce nitrogen pollution. The stable isotope ratios of nitrate (<i>δ</i><sup>15</sup>N, <i>δ</i><sup>18</sup>O) are widely used as tracers of nitrogen pollution sources. The primary technique for identifying nitrate sources has been the longstanding Kendall boxplot, despite improved methods using Bayes’ theorem and the R language for estimating source fractions using hydrogeochemical context, N source data and expert assessment. This article improves the classification of aqueous nitrate sources using comprehensive published stable isotope data for nitrate from four known pollutant types and applying machine learning algorithms. AI modelling results reveal improved source depictions and offer a robust statistical framework for identifying N pollution sources. This is essential given the increased published data sources and the need for better-informed water quality management strategies.
DOI: 10.22033/esgf/cmip6.4206
title: CNRM-CERFACS CNRM-ESM2-1 model output prepared for CMIP6 AerChemMIP ssp370SST-lowBC

description: Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets: These data include all datasets published for 'CMIP6.AerChemMIP.CNRM-CERFACS.CNRM-ESM2-1.ssp370SST-lowBC' with the full Data Reference Syntax following the template 'mip_era.activity_id.institution_id.source_id.experiment_id.member_id.table_id.variable_id.grid_label.version'.
 
 The CNRM-ESM2-1 climate model, released in 2017, includes the following components:
 aerosol: TACTIC_v2, atmos: Arpege 6.3 (T127; Gaussian Reduced with 24572 grid points in total distributed over 128 latitude circles (with 256 grid points per latitude circle between 30degN and 30degS reducing to 20 grid points per latitude circle at 88.9degN and 88.9degS); 91 levels; top level 78.4 km), atmosChem: REPROBUS-C_v2, land: Surfex 8.0c, ocean: Nemo 3.6 (eORCA1, tripolar primarily 1deg; 362 x 294 longitude/latitude; 75 levels; top grid cell 0-1 m), ocnBgchem: Pisces 2.s, seaIce: Gelato 6.1. 
The model was run by the CNRM (Centre National de Recherches Meteorologiques, Toulouse 31057, France), CERFACS (Centre Europeen de Recherche et de Formation Avancee en Calcul Scientifique, Toulouse 31057, France) (CNRM-CERFACS) in native nominal resolutions: aerosol: 250 km, atmos: 250 km, atmosChem: 250 km, land: 250 km, ocean: 100 km, ocnBgchem: 100 km, seaIce: 100 km. 

Project: These data have been generated as part of the internationally-coordinated Coupled Model Intercomparison Project Phase 6 (CMIP6; see also GMD Special Issue: http://www.geosci-model-dev.net/special_issue590.html). The simulation data provides a basis for climate research designed to answer fundamental science questions and serves as resource for authors of the Sixth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC-AR6).

CMIP6 is a project coordinated by the Working Group on Coupled Modelling (WGCM) as part of the World Climate Research Programme (WCRP). Phase 6 builds on previous phases executed under the leadership of the Program for Climate Model Diagnosis and Intercomparison (PCMDI) and relies on the Earth System Grid Federation (ESGF) and the Centre for Environmental Data Analysis (CEDA) along with numerous related activities for implementation. The original data is hosted and partially replicated on a federated collection of data nodes, and most of the data relied on by the IPCC is being archived for long-term preservation at the IPCC Data Distribution Centre (IPCC DDC) hosted by the German Climate Computing Center (DKRZ).

The project includes simulations from about 120 global climate models and around 45 institutions and organizations worldwide. - Project website: https://pcmdi.llnl.gov/CMIP6.
DOI: 10.5281/zenodo.17593424
title: Hydrogen Holographic Science and Intelligence

description: Hydrogen Holographic Science & Intelligence Repository

This repository serves as the central hub for the Hydrogen Holographic Expedition, providing open access to datasets, simulation code, analysis pipelines, and research outputs focused on hydrogen holography and fractal intelligence. It enables researchers, educators, and enthusiasts to explore quantum-scale holographic phenomena, investigate fractal phase structures in atomic and collider data, and reproduce or extend experiments using publicly available resources.

Contributions include:



Experimental and simulated datasets from atomic and high-energy physics contexts (e.g., ATLAS and CMS 13 TeV open data).

Python analysis pipelines for computing rotational skew, fractal substructure, and phase coherence metrics.

Visualizations and illustrative results demonstrating holographic and fractal patterns in energy flows and angular distributions.

Documentation for reproducible research, supporting both teaching and advanced exploratory studies.


By centralizing these resources, the repository accelerates cross-disciplinary collaboration between quantum physics, holographic modeling, and fractal intelligence, providing the foundation for future experimental and computational investigations in hydrogen holography.
DOI: 10.15468/dl.d97j74
title: Occurrence Download

description: A dataset containing 315 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (India, China, Myanmar, Viet Nam, Cambodia, Indonesia, Nepal, Philippines, Malaysia, Chinese Taipei, Bangladesh, Lao People’s Democratic Republic, Thailand, Bhutan)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Trichosanthes cucumerina L."
 ]
}

 The dataset includes 315 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009217-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wx9js5
title: Occurrence Download

description: A dataset containing 126 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Rhizomys sinensis Gray, 1831"
 ]
}

 The dataset includes 126 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009219-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zmfrp4
title: Occurrence Download

description: A dataset containing 867 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((28.46335 45.83097,51.11761 45.83097,51.11761 59.89347,28.46335 59.89347,28.46335 45.83097))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Bothriochloa ischaemum (L.) Keng"
 ]
}

 The dataset includes 867 records from 42 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009218-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p7z92t
title: Occurrence Download

description: A dataset containing 1225 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "TaxonKey is one of (Plethodon cheoah Highton & Peabody, 2000)"
 ]
}

 The dataset includes 1225 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003379-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y3svyd
title: Occurrence Download

description: A dataset containing 2086 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "TaxonKey is Streblospio benedicti Webster, 1879",
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 10000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 2086 records from 51 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003381-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bdjsjt
title: Occurrence Download

description: A dataset containing 3260 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Adenostemma parviflorum (Blume) DC., Adonis aestivalis subsp. aestivalis, Adonis flammea f. flammea, Adonis flammea f. straminea (Beck) Riedl, Adonis microcarpa subsp. intermedia (Webb & Berthel.) Valdés)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 3260 records from 54 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003380-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j5dmkj
title: Occurrence Download

description: A dataset containing 9810349 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-101.23753 27.90087,-71.76257 27.90087,-71.76257 49.3909,-101.23753 49.3909,-101.23753 27.90087))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Anas platyrhynchos Linnaeus, 1758",
 "Year 2003-2025"
 ]
}

 The dataset includes 9810349 records from 50 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000848-250424135625364/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.spamqd
title: Occurrence Download

description: A dataset containing 593953 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Swiss National Dragonflies Databank"
 ]
}

 The dataset includes 593953 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000856-250424135625364/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17653555
title: Comprensión lectora en escolares vulnerables mediante la estrategia Cloze

description: Base de datos recogidos para el trabajo de investigación cuasiexperimental
DOI: 10.5281/zenodo.17653556
title: Comprensión lectora en escolares vulnerables mediante la estrategia Cloze

description: Base de datos recogidos para el trabajo de investigación cuasiexperimental
DOI: 10.7914/sbz2-wc34
title: Trees and forests as seismic dampeners

description: We will install two arrays of 10-15 nodes across a mature forest/clear cut region, to understand the possible amplification or dampening of a forested region during a quarry blast that may also exist during earthquakes. The ultimate goal is to understand how this may impact the likelihood of occurrence of landslides in the Oregon Coast Ranges during large earthquakes, and how this affects our interpretation of paleolandslides as proxies.
DOI: 10.15468/dl.2dww7u
title: Occurrence Download

description: A dataset containing 909 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((-112.3188 29.24913, -112.1688 29.24913, -112.1688 29.39913, -112.3188 29.39913, -112.3188 29.24913))"
 ]
}

 The dataset includes 909 records from 37 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046016-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17613023
title: Evaluating the effects of hydraulic model decisions in the Middle Oconee River in Athens, GA, USA

description: These data were used in the evaluation of hydraulic modeling decisions on fish habitat provisioning and subsequent water withdrawals of a reach of the Middle Oconee River at Ben Burton Park in Athens, GA. The ten different steady-state hydraulic models were developed using United States Army Corps of Engineers HEC-RAS software.
DOI: 10.5281/zenodo.17613024
title: Evaluating the effects of hydraulic model decisions in the Middle Oconee River in Athens, GA, USA

description: These data were used in the evaluation of hydraulic modeling decisions on fish habitat provisioning and subsequent water withdrawals of a reach of the Middle Oconee River at Ben Burton Park in Athens, GA. The ten different steady-state hydraulic models were developed using United States Army Corps of Engineers HEC-RAS software.
DOI: 10.15468/dl.68mu6r
title: Occurrence Download

description: A dataset containing 687 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Fishes of Texas Project (FoTX) Database - Darwin Core",
 "TaxonKey is Ctenopharyngodon idella"
 ]
}

 The dataset includes 687 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046017-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.r68zax
title: Occurrence Download

description: A dataset containing 143 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Tonatia maresi"
 ]
}

 The dataset includes 143 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046018-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ywaks8
title: Occurrence Download

description: A dataset containing 420 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Tonatia saurophila"
 ]
}

 The dataset includes 420 records from 56 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046019-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fxrf5a
title: Occurrence Download

description: A dataset containing 2328 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Trachops cirrhosus"
 ]
}

 The dataset includes 2328 records from 149 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046020-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5517/ccdc.csd.cc2f72j9
title: CCDC 2241130: Experimental Crystal Structure Determination

description: Related Article: Huishu Lin, Rongxiuyuan Huang, Xu Wang, Jinping Fu, Yuyuan Liu, Yi Yi, Yingming Pan|2025|Adv.Synth.Catal.|367|e202401463|doi:10.1002/adsc.202401463
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2f83nh
title: CCDC 2242126: Experimental Crystal Structure Determination

description: Related Article: Yu-Hua Huang, Xu-Dong Wang, Wen-Guang Li, Su-Yan Zou, Xin Yang, Dai-Bin Kuang|2024|Small|20|2306821|doi:10.1002/smll.202306821
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2g2crp
title: CCDC 2266402: Experimental Crystal Structure Determination

description: Related Article: Syed Nizamuddin, C.L. Sharath, N.R. Sreenatha, A. S. Jeevan Chakravarthy, S.N. Chandana, K.A. Vishnumurthy, K. Balakrishna, H.D. Kavitha, B.N. Lakshminarayana|2026|J.Mol.Struct.|1351||doi:10.1016/j.molstruc.2025.144272
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2g2kx1
title: CCDC 2266593: Experimental Crystal Structure Determination

description: Related Article: Danzhi Ying, Luyi Zhan, Ke Kang, Zhenying Wu, Weiying Li, Linwei Zeng, Wenteng Chen, Yongping Yu|2025|J.Org.Chem.|||doi:10.1021/acs.joc.5c01412
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2gs5gx
title: CCDC 2287349: Experimental Crystal Structure Determination

description: Related Article: Amit Kumar Simlandy, Yiyao Hu, Turki M. Alturaifi, Wen-Ji He, Madeline J. Fitzgerald, Peng Liu, Keary M. Engle|2025|J.Am.Chem.Soc.|||doi:10.1021/jacs.5c10118
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2dxl20
title: CCDC 2232002: Experimental Crystal Structure Determination

description: Related Article: Yu-Xuan Wang, Shuo-Chen Ni, Xing Li, Xunwen Xiao, Jin-Peng Xue|2026|J.Mol.Struct.|1351||doi:10.1016/j.molstruc.2025.144365
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.