cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc1lgcs6
title: CCDC 1473578: Experimental Crystal Structure Determination

description: Related Article: Azza A Hassoon|2024|CSD Communication|||
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: 10.14459/2024mp1754069
title: 3D Experimental Impulse-Based Substructuring AM Benchmark Structure Measurement Data

description: Raw time series of impact measurements on the AM benchmark structure, with 38 impact locations and 10 repetitions each. 'AB-Structure' contains measurements of the assembled system; 'A-Structure' and 'B-Structure' contain the individual substructures' measurements. Each acquisition channel is saved to an individual .mat file, starting with a structure identifier, e.g., AB_*.mat for measurements on the AB-structure. The excitation forces are stored in *_F.mat, and the acceleration responses in *_S##.mat, where ## denotes the channel number and local direction, e.g., *_S1X.mat. In the files, 'Y_X' contains the time vector, and 'Y' the values for all impact locations in numerical order. 'VPT' contains the test setup description 'point_coordinates.xlsx' required for pyFBS as well as a Jupyter Notebook 'VPT_transformation_matrices.ipynb' that calculates the VPT transformation matrices, saved in 'AM_structure_VPT.mat', and using the *.stl files a visualization is provided.
DOI: 10.6084/m9.figshare.26508739
title: Construction of a Cancer Stem Cell Marker Genes-Related 22-Gene Signature for Overall Survival Prediction in High-Risk Wilms’ Tumor

description: <b>Background:</b> This study aimed to investigate the comprehensive expression profile of cancer stem cell (CSC)-related genes and construct a prognostic signature for overall survival (OS) prediction in high-risk Wilms’ tumor (WT). <b>Materials and methods:</b> Gene expression and survival data from 120 high-risk WT cases in the Therapeutically Applicable Research to Generate Effective Treatments (TARGET)-WT were used. <b>Results:</b> In total, 229 CSC-related genes were found to be significantly dysregulated in WT compared to tumor-adjacent normal tissues, among which 34 were associated with OS. Using LASSO regression, a 22-gene signature was developed, which exhibited excellent performance in 3-, 5-, and 10-year OS predictions (AUC &gt; 0.86). The high-risk score group showed markedly poorer OS compared to the low-risk score group (median separation, HR = 6.41, 95% CI: 3.18–12.92, <i>p</i> = 3.2e − 9). The 22-gene signature was an independent prognostic factor for OS (HR = 5.086, 95% CI: 3.019–8.568, <i>p</i> &lt; 0.001). <b>Conclusion:</b> This study identified a robust prognostic signature that can effectively support OS prediction.
DOI: 10.6084/m9.figshare.26508739.v1
title: Construction of a Cancer Stem Cell Marker Genes-Related 22-Gene Signature for Overall Survival Prediction in High-Risk Wilms’ Tumor

description: <b>Background:</b> This study aimed to investigate the comprehensive expression profile of cancer stem cell (CSC)-related genes and construct a prognostic signature for overall survival (OS) prediction in high-risk Wilms’ tumor (WT). <b>Materials and methods:</b> Gene expression and survival data from 120 high-risk WT cases in the Therapeutically Applicable Research to Generate Effective Treatments (TARGET)-WT were used. <b>Results:</b> In total, 229 CSC-related genes were found to be significantly dysregulated in WT compared to tumor-adjacent normal tissues, among which 34 were associated with OS. Using LASSO regression, a 22-gene signature was developed, which exhibited excellent performance in 3-, 5-, and 10-year OS predictions (AUC &gt; 0.86). The high-risk score group showed markedly poorer OS compared to the low-risk score group (median separation, HR = 6.41, 95% CI: 3.18–12.92, <i>p</i> = 3.2e − 9). The 22-gene signature was an independent prognostic factor for OS (HR = 5.086, 95% CI: 3.019–8.568, <i>p</i> &lt; 0.001). <b>Conclusion:</b> This study identified a robust prognostic signature that can effectively support OS prediction.
DOI: 10.15468/dl.m7rsjj
title: Occurrence Download

description: A dataset containing 241 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lasiodora parahybana Mello-Leitão, 1917"
 ]
}

 The dataset includes 241 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026596-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13828366
title: Document Layout Analysis - David Hume's History of England

description: A fine-grained text region dataset for document layout analysis, freely available for research, featuring over 2400 annotated pages from four editions of David Hume’s History of England.
DOI: 10.5281/zenodo.13828367
title: Document Layout Analysis - David Hume's History of England

description: A fine-grained text region dataset for document layout analysis, freely available for research, featuring over 2400 annotated pages from four editions of David Hume’s History of England.
DOI: 10.6084/m9.figshare.27004963
title: <b>Optimizing Mendelian Randomization for Drug Prediction: Exploring Validity and Research Strategies</b>

description: Mendelian randomization (MR) plays an increasingly important role in drug discovery, yet its full potential and optimized framework for accurately predicting drug targets have not been firmly established. This study aimed to evaluate the efficacy of multiple MR models in predicting effective drug targets and to propose the optimal selection of models and instrumental variables for MR analyses. We meticulously constructed datasets using approved drug indications and a range of IVs, encompassing cis-expression quantitative trait loci (eQTLs) and protein quantitative trait loci (pQTLs). Our analytical approach incorporated diverse models, including Wald’s ratio, inverse-variance weighted (IVW), MR‒Egger, weighted median, and MRPRESSO, to evaluate MR's validity in drug target identification. The findings highlight MR efficacy, demonstrating approximately 70% accuracy in predicting effective drug targets. For the selection of instrumental variables, tissue-specific eQTLs in disease-related tissues emerged as superior IVs. We identified a r2 threshold below 0.3 as optimal for excluding redundant SNPs. To optimize the MR model, we recommend IVW as the primary computational model, complemented by the weighted median and MRPRESSO for robust analyses. This finding is consistent with current findings in the literature. Notably, a P value of &lt;0.05, without false discovery rate correction, is the most effective for identifying significant drug targets.
DOI: 10.48597/chcq-te8a
title: Measurement of Precipitation_amount at Diabla Gora

description: Measurement of Precipitation_amount at Diabla Gora
DOI: 10.15468/dl.pyxs2x
title: Occurrence Download

description: A dataset containing 142 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((33.45862 -14.31298,33.56215 -14.36271,33.60986 -14.3211,33.62001 -14.17392,33.4779 -14.20234,33.41802 -14.2399,33.45862 -14.31298))",
 "IucnRedListCategory is one of (VU, EN, CR, NT)",
 "Year 2012-2024"
 ]
}

 The dataset includes 142 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026597-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48597/es5u-zrbj
title: PAHs (polycyclic aromatic hydrocarbons, 16) at Diabla Gora

description: Measurement of PAHs (polycyclic aromatic hydrocarbons, 16) at Diabla Gora
DOI: 10.48597/xhfy-szah
title: Dibenzo_ah_anthracene at Diabla Gora

description: Measurement of Dibenzo_ah_anthracene at Diabla Gora
DOI: 10.48597/jruk-69fc
title: Measurement of PAHs (polycyclic aromatic hydrocarbons, 16) at Diabla Gora

description: Measurement of PAHs (polycyclic aromatic hydrocarbons, 16) at Diabla Gora
DOI: 10.48597/4tj9-5awc
title: Measurement of Precipitation_amount at Diabla Gora

description: Measurement of Precipitation_amount at Diabla Gora
DOI: 10.48597/n5q4-rrj6
title: Measurement of Dibenzo_ah_anthracene at Diabla Gora

description: Measurement of Dibenzo_ah_anthracene at Diabla Gora
DOI: 10.48597/w9h9-gz9b
title: Measurement of PAHs (polycyclic aromatic hydrocarbons, 16) at Diabla Gora

description: Measurement of PAHs (polycyclic aromatic hydrocarbons, 16) at Diabla Gora
DOI: 10.48597/zrbe-bbqe
title: Measurement of PAHs (polycyclic aromatic hydrocarbons, 16) at Diabla Gora

description: Measurement of PAHs (polycyclic aromatic hydrocarbons, 16) at Diabla Gora
DOI: 10.48597/mpmv-jdmt
title: Measurement of Precipitation_amount at Diabla Gora

description: Measurement of Precipitation_amount at Diabla Gora
DOI: 10.48597/wxku-aht3
title: Measurement of PAHs (polycyclic aromatic hydrocarbons, 16) at Diabla Gora

description: Measurement of PAHs (polycyclic aromatic hydrocarbons, 16) at Diabla Gora
DOI: 10.15468/dl.nzsqju
title: Occurrence Download

description: A dataset containing 968 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Aonyx capensis (Schinz, 1821)"
 ]
}

 The dataset includes 968 records from 54 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026598-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y5tjg5
title: Occurrence Download

description: A dataset containing 14 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "Geometry POLYGON((105.50919 34.30761,151.49081 34.30761,151.49081 52.69239,105.50919 52.69239,105.50919 34.30761))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Fritillaria usuriensis Maxim."
 ]
}

 The dataset includes 14 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026599-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.72n3k8
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-8.45256 35.32718,-1.41829 35.32718,-1.41829 38.13968,-8.45256 38.13968,-8.45256 35.32718))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Vespa velutina Lepeletier, 1836"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026600-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.27088150
title: Siva Sankar.rar

description: The proposed heart disease prediction model performs better with smaller feature sizes, according to the conducted experiments and comparisons with the cutting-edge approaches.
DOI: 10.17894/ucph.8fd41f9a-6eb4-43b9-9820-1bc091574aba
title: Phosphorus speciation in different sewage sludges and their biochars and its implications for movement of labile phosphate in two soils
DOI: 10.15468/dl.kne9tg
title: Occurrence Download

description: A dataset containing 43903 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Machine Observation, Human Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Ameiurus melas (Rafinesque, 1820)"
 ]
}

 The dataset includes 43903 records from 239 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026601-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5517/cc87jff
title: CCDC 245564: Experimental Crystal Structure Determination

description: Related Article: S.Parsons, J.McGuinn, N.Turner, P.A.Wood|2004|CSD Communication|||
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/ccr2l9p
title: CCDC 687682: Experimental Crystal Structure Determination

description: Related Article: V.Mrkvicka, A.Klasek, R.Kimmel, A.Pevec, J.Kosmrlj|2008|ARKIVOC|2008|289-14|
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.cc2g2qs2
title: CCDC 2266744: Experimental Crystal Structure Determination

description: Related Article: Vijaykumar H. Thorat, Yong-Ran Huang, Hao-Yu Chao, Jen-Chieh Hsieh|2024|Adv.Synth.Catal.|366|2130|doi:10.1002/adsc.202301512
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.cc2g2qt3
title: CCDC 2266745: Experimental Crystal Structure Determination

description: Related Article: Vijaykumar H. Thorat, Yong-Ran Huang, Hao-Yu Chao, Jen-Chieh Hsieh|2024|Adv.Synth.Catal.|366|2130|doi:10.1002/adsc.202301512
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: 10.34740/kaggle/dsv/9461987
title: Forex Exchange Rates Since 2004 (Updated Daily)
DOI: 10.5281/zenodo.12515772
title: Data for "Using physics-informed neural networks to predict the lifetime of laser powder bed fusion processed 316L stainless steel under multiaxial low-cycle fatigue loading"

description: Title of dataset: Data for "Using physics-informed neural networks to predict the lifetime of laser powder bed fusion processed 316L stainless steel under multiaxial low-cycle fatigue loading".

Name/institution/contact information: Dr. Michal Bartošák, Czech Technical University in Prague - Faculty of Mechanical Engineering, email: michal.bartosak@fs.cvut.cz.

Date of data collection: The data were collected between 2021 and 2024.

File name structure: The data consists of two files: "316L_fatigue_and_defects.xls," which contains fatigue lifetime data and defect characteristics, and an associated description file, "read_me.txt."

See "https://doi.org/10.1016/j.ijfatigue.2024.108608" for the associated article and a detailed description of the methods.
DOI: 10.5281/zenodo.12515773
title: Data for "Using physics-informed neural networks to predict the lifetime of laser powder bed fusion processed 316L stainless steel under multiaxial low-cycle fatigue loading"

description: Title of dataset: Data for "Using physics-informed neural networks to predict the lifetime of laser powder bed fusion processed 316L stainless steel under multiaxial low-cycle fatigue loading".

Name/institution/contact information: Dr. Michal Bartošák, Czech Technical University in Prague - Faculty of Mechanical Engineering, email: michal.bartosak@fs.cvut.cz.

Date of data collection: The data were collected between 2021 and 2024.

File name structure: The data consists of two files: "316L_fatigue_and_defects.xls," which contains fatigue lifetime data and defect characteristics, and an associated description file, "read_me.txt."

See "https://doi.org/10.1016/j.ijfatigue.2024.108608" for the associated article and a detailed description of the methods.
DOI: 10.15468/dl.2qwe3p
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Checklist and distribution patterns of apoid wasps (Hymenoptera: Apoidea: Sphecidae and Crabronidae) of Cuba"
 ]
}

 The dataset includes 11 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026602-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.27088168.v1
title: Supplementary Material for: COVID-19 Related Spinal Subdural Hematoma Presented with Acute Compressive Myelopathy with review of the literature

description: Neurological complication due to Coronavirus Disease 2019 is accumulating and compressive myelopathy due to spinal subdural hematoma is rarely reported in association with COVID-19. A 55-year-old male was presented with sudden onset of areflexic paraparesis, urinary retention, loss of all sensations below twelve spinal thoracic segment, and severe back pain. This condition necessitated an immediate order of spinal cord MRI followed by an urgent surgery, which was crucial to save the spinal cord. COVID-19 was confirmed by positive RT-PCR and spinal MRI showed SSDH.
DOI: 10.15468/dl.ceyue8
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is one of (SHN.1_1, CPV)",
 "TaxonKey is Hemidactylus mercatorius Gray, 1842"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026603-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.w62qvd
title: Occurrence Download

description: A dataset containing 14 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is one of (USA.1_1, MUS)",
 "TaxonKey is Hemidactylus parvimaculatus Deraniyagala, 1953"
 ]
}

 The dataset includes 14 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026604-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wkqwt7
title: Occurrence Download

description: A dataset containing 696 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Vessel line-transect surveys of Arctic pinnipeds in the Chuckchi Sea, Arctic Marine Biodiversity Observing Network (AMBON) research cruise on the vessel Norseman II, 2015-08-09 - 2015-09-03"
 ]
}

 The dataset includes 696 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026605-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.10808974
title: EBSD data (with patterns) for indexing of contrast inverted patterns

description: Data needed to reproduce results from paper:

Grzegorz Cios, Aimo Winkelmann, Gert Nolze, Tomasz Tokarski, Benedykt R. Jany, Piotr Bała,EBSD and TKD analyses using inverted contrast Kikuchi diffraction patterns and alternative measurement geometries,Ultramicroscopy, 2024, 114055, ISSN 0304-3991,https://doi.org/10.1016/j.ultramic.2024.114055.(https://www.sciencedirect.com/science/article/pii/S0304399124001347)

Abstract: Electron backscatter diffraction (EBSD) patterns can exhibit Kikuchi bands with inverted contrast due to anomalous absorption. This can be observed, for example, on samples with nanoscale topography, in case of a low tilt backscattering geometry, or for transmission Kikuchi diffraction (TKD) on thicker samples. Three examples are discussed where contrast-inverted physics-based simulated master patterns have been applied to find the correct crystal orientation. As first EBSD example, self-assembled gold nanostructures made of Au fcc and Au hcp phases on single-crystal germanium were investigated. Gold covered about 12% of the mapped area, with only two thirds being successfully interpreted using standard Hough-based indexing. The remaining third was solved by brute force indexing using a contrast-inverted master pattern. The second EBSD example deals with maps collected at a non-tilted surface instead of the commonly used 70° tilted one. As TKD example, a jet-polished foil made of duplex stainless steel 2205 was examined. The thin part close to the hole edge producing normal-contrast patterns were standard indexed. The areas of the foil that become thicker with increasing distance from the edge of the hole produce contrast-inverted patterns. They covered three times the evaluable area and were successfully processed using the contrast-inverted master pattern. In the last example, inverted patterns collected at a non-tiled sample were mathematically inverted to normal contrast, and Hough/Radon-based indexing was successfully applied.Keywords: EBSD; TKD; Contrast inversion; Topography; Kikuchi diffraction
DOI: 10.5281/zenodo.10808975
title: EBSD data (with patterns) for indexing of contrast inverted patterns

description: Data needed to reproduce results from paper:

Grzegorz Cios, Aimo Winkelmann, Gert Nolze, Tomasz Tokarski, Benedykt R. Jany, Piotr Bała,EBSD and TKD analyses using inverted contrast Kikuchi diffraction patterns and alternative measurement geometries,Ultramicroscopy, 2024, 114055, ISSN 0304-3991,https://doi.org/10.1016/j.ultramic.2024.114055.(https://www.sciencedirect.com/science/article/pii/S0304399124001347)

Abstract: Electron backscatter diffraction (EBSD) patterns can exhibit Kikuchi bands with inverted contrast due to anomalous absorption. This can be observed, for example, on samples with nanoscale topography, in case of a low tilt backscattering geometry, or for transmission Kikuchi diffraction (TKD) on thicker samples. Three examples are discussed where contrast-inverted physics-based simulated master patterns have been applied to find the correct crystal orientation. As first EBSD example, self-assembled gold nanostructures made of Au fcc and Au hcp phases on single-crystal germanium were investigated. Gold covered about 12% of the mapped area, with only two thirds being successfully interpreted using standard Hough-based indexing. The remaining third was solved by brute force indexing using a contrast-inverted master pattern. The second EBSD example deals with maps collected at a non-tilted surface instead of the commonly used 70° tilted one. As TKD example, a jet-polished foil made of duplex stainless steel 2205 was examined. The thin part close to the hole edge producing normal-contrast patterns were standard indexed. The areas of the foil that become thicker with increasing distance from the edge of the hole produce contrast-inverted patterns. They covered three times the evaluable area and were successfully processed using the contrast-inverted master pattern. In the last example, inverted patterns collected at a non-tiled sample were mathematically inverted to normal contrast, and Hough/Radon-based indexing was successfully applied.Keywords: EBSD; TKD; Contrast inversion; Topography; Kikuchi diffraction