cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.29341274
title: Supplementary Material for: Boundary Formation of the Human Caudal Foregut During the Early Fetal Period: Three-Dimensional Analysis Using T1-Weighted and Diffusion Tensor Images

description: Introduction: While caudal foregut development in human fetuses has been outlined in previous research, the formation of its border region remains unclear. This study aimed to visualize the precise timeline of caudal foregut boundary formation. Methods: Three-dimensional images of the foregut from T1-weighted scans of 24 fetuses (crown–rump length [CRL]: 34–103 mm) were analyzed to measure the wall thickness and lumen diameter at nine specific sites. The internal structure in the border region was verified using histological sections and diffusion tensor imaging (DTI) tractography. Results: The lower esophageal and pyloric canal walls were thicker in samples with a CRL ≥50 mm. The esophageal wall at the esophageal hiatus, where the lower esophageal sphincter is located, was particularly thick in samples with a CRL ≥88 mm. Increased wall thickness at the esophageal hiatus and pyloric canal resulted in a narrower lumen. The pyloric canal lumen narrowed from its distal to proximal sections. The lumen diameter-to-wall thickness ratio at the esophageal hiatus and proximal pyloric was negatively correlated with CRL. The thickened esophageal wall at the esophageal hiatus had a thick submucosa, and all layers in the pyloric canal thickened with growth. DTI tractography revealed that the lower esophageal wall mainly comprised longitudinal fibers, whereas the pyloric canal wall consisted solely of circular fibers, with fractional anisotropy increasing with growth. Conclusion: This study provides a comprehensive timeline of normal caudal foregut boundary formation during the early human fetal period, thereby improving the understanding of congenital foregut obstruction pathogenesis.
DOI: 10.6084/m9.figshare.29341274.v1
title: Supplementary Material for: Boundary Formation of the Human Caudal Foregut During the Early Fetal Period: Three-Dimensional Analysis Using T1-Weighted and Diffusion Tensor Images

description: Introduction: While caudal foregut development in human fetuses has been outlined in previous research, the formation of its border region remains unclear. This study aimed to visualize the precise timeline of caudal foregut boundary formation. Methods: Three-dimensional images of the foregut from T1-weighted scans of 24 fetuses (crown–rump length [CRL]: 34–103 mm) were analyzed to measure the wall thickness and lumen diameter at nine specific sites. The internal structure in the border region was verified using histological sections and diffusion tensor imaging (DTI) tractography. Results: The lower esophageal and pyloric canal walls were thicker in samples with a CRL ≥50 mm. The esophageal wall at the esophageal hiatus, where the lower esophageal sphincter is located, was particularly thick in samples with a CRL ≥88 mm. Increased wall thickness at the esophageal hiatus and pyloric canal resulted in a narrower lumen. The pyloric canal lumen narrowed from its distal to proximal sections. The lumen diameter-to-wall thickness ratio at the esophageal hiatus and proximal pyloric was negatively correlated with CRL. The thickened esophageal wall at the esophageal hiatus had a thick submucosa, and all layers in the pyloric canal thickened with growth. DTI tractography revealed that the lower esophageal wall mainly comprised longitudinal fibers, whereas the pyloric canal wall consisted solely of circular fibers, with fractional anisotropy increasing with growth. Conclusion: This study provides a comprehensive timeline of normal caudal foregut boundary formation during the early human fetal period, thereby improving the understanding of congenital foregut obstruction pathogenesis.
DOI: 10.15468/dl.pmdh3y
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lobelia patula L.f.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((32.064 -28.9416,32.4847 -28.5786,30.5701 -28.5786,30.5701 -30.7329,30.6252 -30.6659,31.4179 -29.4257,31.8178 -29.0299,32.064 -28.9416))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051591-250525065834625/datasets/export for details.
DOI: 10.7910/dvn/8inbtd
title: Replication Data for "Cooling Auction Fever: Evidence from the Housing Market"

description: The folder contains the pseudo-data and replication codes. For more information please see the Readme.doc file.
DOI: 10.15468/dl.9y5wbd
title: Occurrence Download

description: A dataset containing 4334 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Puma concolor (Linnaeus, 1771)",
 "Year 1981-2010"
 ]
}

 The dataset includes 4334 records from 149 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051592-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zjtsne
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lobelia patula L.f.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((35.5808 -24.13,35.5909 -24.0715,30.5701 -24.0715,30.5701 -28.5786,32.4847 -28.5786,32.55 -28.5222,33.0346 -26.8668,32.9741 -26.7838,33.0415 -26.059,32.9304 -26.0011,32.7994 -26.1281,32.6834 -26.0015,32.813 -25.8728,32.8513 -25.7166,33.3048 -25.3731,35.1489 -24.6699,35.5808 -24.13))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051593-250525065834625/datasets/export for details.
DOI: 10.5517/ccdc.csd.cc2khsnj
title: CCDC 2368668: Experimental Crystal Structure Determination

description: Related Article: Ekaterina A. Verochkina, Victoria G. Fedoseeva, Evgeniy V. Kondrashov, Igor B. Rozentsveig, Ludmila I. Larina, Alexander V. Vashchenko, Nadezhda V. Vchislo|2025|Tetrahedron|174|134494|doi:10.1016/j.tet.2025.134494
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.cc2lc156
title: CCDC 2393887: Experimental Crystal Structure Determination

description: Related Article: Péter Szuroczki, Laura Barbara Jenei, Viktor Sándor, Attila Bényei, László Kollár|2025|Tetrahedron|174|134489|doi:10.1016/j.tet.2025.134489
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.cc2lc167
title: CCDC 2393888: Experimental Crystal Structure Determination

description: Related Article: Péter Szuroczki, Laura Barbara Jenei, Viktor Sándor, Attila Bényei, László Kollár|2025|Tetrahedron|174|134489|doi:10.1016/j.tet.2025.134489
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.cc2lc178
title: CCDC 2393889: Experimental Crystal Structure Determination

description: Related Article: Péter Szuroczki, Laura Barbara Jenei, Viktor Sándor, Attila Bényei, László Kollár|2025|Tetrahedron|174|134489|doi:10.1016/j.tet.2025.134489
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.cc2lc189
title: CCDC 2393890: Experimental Crystal Structure Determination

description: Related Article: Péter Szuroczki, Laura Barbara Jenei, Viktor Sándor, Attila Bényei, László Kollár|2025|Tetrahedron|174|134489|doi:10.1016/j.tet.2025.134489
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.cc2lc19b
title: CCDC 2393891: Experimental Crystal Structure Determination

description: Related Article: Péter Szuroczki, Laura Barbara Jenei, Viktor Sándor, Attila Bényei, László Kollár|2025|Tetrahedron|174|134489|doi:10.1016/j.tet.2025.134489
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.cc2lc1bc
title: CCDC 2393892: Experimental Crystal Structure Determination

description: Related Article: Péter Szuroczki, Laura Barbara Jenei, Viktor Sándor, Attila Bényei, László Kollár|2025|Tetrahedron|174|134489|doi:10.1016/j.tet.2025.134489
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: 10.15468/dl.ubwncz
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lobelia patula L.f.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((31.8862 -21.3285,30.5701 -20.3186,30.5701 -24.0715,35.5909 -24.0715,35.6007 -24.0157,35.6007 -23.8125,35.4969 -23.7035,35.6007 -23.165,35.6007 -22.9702,35.227 -22.2482,34.6862 -21.6944,34.013 -21.3095,33.5 -21.1593,32.9675 -21.1092,32.4352 -21.1612,31.8862 -21.3285))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051594-250525065834625/datasets/export for details.
DOI: 10.34740/kaggle/dsv/12197651
title: Mahanagar Yatayat Transport Dataset
DOI: 10.15468/dl.kmjmf2
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lobelia patula L.f.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((27.1586 -33.5889,28.2048 -32.9007,25.5395 -32.9007,25.5395 -34.1098,25.6468 -34.1222,25.7787 -34.0734,25.7098 -33.9109,25.8639 -33.797,26.4806 -33.8473,27.1586 -33.5889))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051595-250525065834625/datasets/export for details.
DOI: 10.5066/p13daeaq
title: Radiocarbon ages from sites in El Salvador generated during joint volcano hazards projects carried out by the U.S. Geological Survey Volcano Disaster Assistance Program and El Salvador Ministerio de Ambiente y Recursos Naturales

description: We present the results of 14C age analysis of samples collected during multiple projects that are part of an on-going, joint initiative of the U.S. Geological Survey Volcano Disaster Assistance Program and the El Salvador Ministerio de Ambiente y Recursos Naturales. These projects are part of a wider effort to better understand El Salvador’s many volcanoes and provide baseline data which can be applied to understanding the character of the country’s volcanism and assessing its volcanic hazards. Many of El Salvador’s late Pleistocene and Holocene eruptions and non-eruptive volcanic events lack critical information on when they occurred. Samples were taken from both terrestrial outcrops and cores of varying lengths. The data presented here begin to fill this knowledge gap by providing age constraint for many previously undated eruptions, debris avalanches, or debris flows. For each sample, we provide stratigraphic constraint and outcrop locations, but detailed tephrostratigraphy and interpretations for each project will be presented in subsequent publications using these 14C age data.
DOI: 10.48420/29329565
title: Turbulent Flow data as PyTorch tensors for ML: Kolmogorov Flow at Re=222, and Kelvin-Helmholtz instability

description: This dataset contains three files, listed below. The Kolmogorov flow is generated using a spectral solver, available at: https://github.com/google/jax-cfd. The Kelvin-Helmholtz Instability is generated using an in-house code.<br><br><b>Case 1: Kolmogorov Flow</b><br><code>nu_0p0045_2500_8f_uv_128.pt</code> -- a PyTorch tensor containing 2500 eight-frame videos of a 2D Re=222 forced turbulent flow (Kolmogorov flow), with only velocity vectors provided. The first 2000 samples are used as training data, the next 450 are used for validation and the final 50 are used to test the model, after training.<br><br><b>Case 2: Kelvin Helmholtz Instability</b><i>Training and Validation</i><code>:</code><code>kh_8f_72_208_r34568.pt</code> -- a PyTorch tensor containing 1000 eight-frame videos of a Kelvin-Helmholtz instability flow from 5 realisations of the flow (i.e. initialised from different random seeds). Each two hundred videos are from one simulation - the last two hundred may be used as a validation set.<br><i>Testing:</i><code> </code><code>kh_8f_72_208_r9.pt</code> -- a PyTorch tensor containing 200 eight-frame videos of a Kelvin-Helmholtz instability flow from a realisation of the flow different to the above. This is used as the test set for a model trained on <code>kh_8f_72_208_r34568.pt</code>.<br><br><br>
DOI: 10.48420/29329565.v1
title: Turbulent Flow data as PyTorch tensors for ML: Kolmogorov Flow at Re=222, and Kelvin-Helmholtz instability

description: This dataset contains three files, listed below. The Kolmogorov flow is generated using a spectral solver, available at: https://github.com/google/jax-cfd. The Kelvin-Helmholtz Instability is generated using an in-house code.<br><br><b>Case 1: Kolmogorov Flow</b><br><code>nu_0p0045_2500_8f_uv_128.pt</code> -- a PyTorch tensor containing 2500 eight-frame videos of a 2D Re=222 forced turbulent flow (Kolmogorov flow), with only velocity vectors provided. The first 2000 samples are used as training data, the next 450 are used for validation and the final 50 are used to test the model, after training.<br><br><b>Case 2: Kelvin Helmholtz Instability</b><i>Training and Validation</i><code>:</code><code>kh_8f_72_208_r34568.pt</code> -- a PyTorch tensor containing 1000 eight-frame videos of a Kelvin-Helmholtz instability flow from 5 realisations of the flow (i.e. initialised from different random seeds). Each two hundred videos are from one simulation - the last two hundred may be used as a validation set.<br><i>Testing:</i><code> </code><code>kh_8f_72_208_r9.pt</code> -- a PyTorch tensor containing 200 eight-frame videos of a Kelvin-Helmholtz instability flow from a realisation of the flow different to the above. This is used as the test set for a model trained on <code>kh_8f_72_208_r34568.pt</code>.<br><br><br>
DOI: 10.6084/m9.figshare.29341001
title: RxSafeBench

description: RxSafeBench.zip is a benchmark dataset designed to evaluate the medication safety capabilities of large language models (LLMs) in simulated clinical consultation scenarios. The final benchmark consists of 2,443 high-quality consultation scenarios, evenly split across different types of medication risks. This dataset is essential for advancing research on LLM-based systems in healthcare, particularly in improving medication safety.
DOI: 10.6084/m9.figshare.29341001.v1
title: RxSafeBench

description: RxSafeBench.zip is a benchmark dataset designed to evaluate the medication safety capabilities of large language models (LLMs) in simulated clinical consultation scenarios. The final benchmark consists of 2,443 high-quality consultation scenarios, evenly split across different types of medication risks. This dataset is essential for advancing research on LLM-based systems in healthcare, particularly in improving medication safety.
DOI: 10.34808/5n76-6m72
title: Thermal behavior of VO2/V2O3 nanostructures obtained at 500°C under argon atmosphere

description: The DataSet contains the results of the thermal behavior of the VO2/V2O3 nanostructures.  The vanadium oxides nanostructures were synthesized by the sol-gel method, where obtained xerogel powder was annealing at 500°C under an argon atmosphere. The information about xerogel powder synthesis is described in the Journal of Nanomaterials.
Thermogravimetric analysis (TG) and Differential scanning calorimetry (DSC) measurements were carried out under synthetic air atmosphere from 35°C to 650°C (with a heating rate of 15 °C/min) using Netzsch STA 449 F1. The thermal behavior was also studied with mass spectrum (MS). The gases that come out from the samples during heating were monitored by the quadruple mass spectrometer Netzsch QMS 403C Aeolos. The mass spectra were measured for selected m/z from 12 to 44.
DOI: 10.34808/hn25-ja78
title: Thermal behavior of VO2/V2O3 nanostructures obtained at 600°C under argon atmosphere

description: The DataSet contains the results of the thermal behavior of the VO2/V2O3 nanostructures.  The vanadium oxides nanostructures were synthesized by the sol-gel method, where obtained xerogel powder was annealing at 600°C under an argon atmosphere. The information about xerogel powder synthesis is described in the Journal of Nanomaterials.
Thermogravimetric analysis (TG) and Differential scanning calorimetry (DSC) measurements were carried out under synthetic air atmosphere from 40°C to 650°C (with a heating rate of 15 °C/min) using Netzsch STA 449 F1. The thermal behavior was also studied with mass spectrum (MS). The gases that come out from the samples during heating were monitored by the quadruple mass spectrometer Netzsch QMS 403C Aeolos. The mass spectra were measured for selected m/z from 12 to 44.
DOI: 10.34808/hm8e-ck93
title: Thermal behavior of VO2/V2O3 nanostructures obtained at 700°C under argon atmosphere

description: The DataSet contains the results of the thermal behavior of the VO2/V2O3 nanostructures.  The vanadium oxides nanostructures were synthesized by the sol-gel method, where obtained xerogel powder was annealing at 700°C under an argon atmosphere. The information about xerogel powder synthesis is described in the Journal of Nanomaterials.
Thermogravimetric analysis (TG) and Differential scanning calorimetry (DSC) measurements were carried out under synthetic air atmosphere from 35°C to 650°C (with a heating rate of 15 °C/min) using Netzsch STA 449 F1. The thermal behavior was also studied with mass spectrum (MS). The gases that come out from the samples during heating were monitored by the quadruple mass spectrometer Netzsch QMS 403C Aeolos. The mass spectra were measured for selected m/z from 12 to 44.
DOI: 10.15468/dl.jxpcpz
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Campylomormyrus bredoi (Poll, 1945)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((47.5465 -25.2196,47.6434 -24.9401,46.1382 -24.9401,46.1382 -25.8059,46.3822 -25.6931,46.8647 -25.6616,47.5465 -25.2196))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051598-250525065834625/datasets/export for details.
DOI: 10.15468/dl.a89nuq
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lobelia patula L.f.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((18.2339 -32.5266,18.1411 -32.657,18.1007 -32.7021,18.0224 -32.6366,17.8923 -32.6419,17.754 -32.8255,17.7723 -32.9007,20.509 -32.9007,20.509 -28.5786,16.2782 -28.5786,16.4358 -28.7202,16.726 -29.1235,17.1957 -30.3752,17.6655 -31.1743,18.1322 -31.7679,18.2495 -32.2638,18.2339 -32.5266))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051597-250525065834625/datasets/export for details.
DOI: 10.15468/dl.4efy8z
title: Occurrence Download

description: A dataset containing 66 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Russian Federation",
 "TaxonKey is Allactaga major (Kerr, 1792)"
 ]
}

 The dataset includes 66 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051596-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57745/ty9klg
title: Flight performance of some Agrilinae (Coleoptera: Buprestidae) on flight mills

description: From 2021 to 2023, the authors studied intra- and inter-specific variations in flight performance of oak-associated Agrilinae (Coleoptera: Buprestidae) using computerized flight mills designed and created by the authors (See related publication). The dataset contains the raw data and pipelines to produce the data documentation ('.org' and '.pdf' files) and analyses and figures ('.R' and '.png' files) for the manuscript. A reproducible computational environment is supplied (See README.md file).
DOI: 10.14469/hpc/15288
title: Acetyl chloride + methanol + methanol, IRC

description: Gaussian 16 (C01) calculation