cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.7295/w9cil54746
title: CIL:54746, Homo sapiens, SBAD2 human iPSC line
DOI: 10.7295/w9cil54747
title: CIL:54747, Homo sapiens, SBAD2 human iPSC line
DOI: 10.7295/w9cil54748
title: CIL:54748, Homo sapiens, SBAD2 human iPSC line
DOI: 10.7295/w9cil54749
title: CIL:54749, Homo sapiens, SBAD2 human iPSC line
DOI: 10.7295/w9cil54750
title: CIL:54750, Homo sapiens, SBAD2 human iPSC line
DOI: 10.7295/w9cil54751
title: CIL:54751, Homo sapiens, SBAD2 human iPSC line
DOI: 10.7295/w9cil54752
title: CIL:54752, Homo sapiens, SBAD2 human iPSC line
DOI: 10.7295/w9cil54753
title: CIL:54753, Homo sapiens, SBAD2 human iPSC line
DOI: 10.7295/w9cil54754
title: CIL:54754, Homo sapiens, SBAD2 human iPSC line
DOI: 10.7295/w9cil54755
title: CIL:54755, Homo sapiens, SBAD2 human iPSC line
DOI: 10.7295/w9cil54756
title: CIL:54756, Homo sapiens, SBAD2 human iPSC line
DOI: 10.7295/w9cil54757
title: CIL:54757, Homo sapiens, SBAD2 human iPSC line
DOI: 10.7295/w9cil54758
title: CIL:54758, Homo sapiens, SBAD2 human iPSC line
DOI: 10.7295/w9cil54759
title: CIL:54759, Homo sapiens, SBAD2 human iPSC line
DOI: 10.7295/w9cil54760
title: CIL:54760, Homo sapiens, SBAD2 human iPSC line
DOI: 10.7295/w9cil54761
title: CIL:54761, Homo sapiens, SBAD2 human iPSC line
DOI: 10.7295/w9cil54762
title: CIL:54762, Homo sapiens, SBAD2 human iPSC line
DOI: 10.7295/w9cil54763
title: CIL:54763, Homo sapiens, SBAD2 human iPSC line
DOI: 10.7295/w9cil54764
title: CIL:54764, Homo sapiens, SBAD2 human iPSC line
DOI: 10.7295/w9cil54765
title: CIL:54765, Homo sapiens, SBAD2 human iPSC line
DOI: 10.7295/w9cil54766
title: CIL:54766, Homo sapiens, SBAD2 human iPSC line
DOI: 10.7295/w9cil54767
title: CIL:54767, Homo sapiens, SBAD2 human iPSC line
DOI: 10.7295/w9cil54768
title: CIL:54768, Homo sapiens, SBAD2 human iPSC line
DOI: 10.7295/w9cil54769
title: CIL:54769, Homo sapiens, SBAD2 human iPSC line
DOI: 10.7295/w9cil54770
title: CIL:54770, Homo sapiens, SBAD2 human iPSC line
DOI: 10.7295/w9cil54771
title: CIL:54771, Homo sapiens, SBAD2 human iPSC line
DOI: 10.7295/w9cil54773
title: CIL:54773, Homo sapiens, SBAD2 human iPSC line
DOI: 10.7295/w9cil54774
title: CIL:54774, Homo sapiens, SBAD2 human iPSC line
DOI: 10.7295/w9cil54775
title: CIL:54775, Homo sapiens, SBAD2 human iPSC line
DOI: 10.7295/w9cil54776
title: CIL:54776, Homo sapiens, SBAD2 human iPSC line
DOI: 10.7295/w9cil54780
title: CIL:54780, Homo sapiens, SBAD2 human iPSC line
DOI: 10.7295/w9cil54781
title: CIL:54781, Homo sapiens, SBAD2 human iPSC line
DOI: 10.7295/w9cil54782
title: CIL:54782, Homo sapiens, SBAD2 human iPSC line
DOI: 10.7295/w9cil54783
title: CIL:54783, Homo sapiens, SBAD2 human iPSC line
DOI: 10.7295/w9cil54784
title: CIL:54784, Homo sapiens, SBAD2 human iPSC line
DOI: 10.7295/w9cil54785
title: CIL:54785, Homo sapiens, SBAD2 human iPSC line
DOI: 10.7295/w9cil54786
title: CIL:54786, Homo sapiens, SBAD2 human iPSC line
DOI: 10.7295/w9cil54787
title: CIL:54787, Homo sapiens, SBAD2 human iPSC line
DOI: 10.7295/w9cil54790
title: CIL:54790, Homo sapiens, SBAD2 human iPSC line
DOI: 10.7295/w9cil54791
title: CIL:54791, Homo sapiens, SBAD2 human iPSC line
DOI: 10.7295/w9cil54792
title: CIL:54792, Homo sapiens, SBAD2 human iPSC line
DOI: 10.7295/w9cil54793
title: CIL:54793, Homo sapiens, SBAD2 human iPSC line
DOI: 10.7295/w9cil54794
title: CIL:54794, Homo sapiens, SBAD2 human iPSC line
DOI: 10.7295/w9cil54795
title: CIL:54795, Homo sapiens, SBAD2 human iPSC line
DOI: 10.7295/w9cil54796
title: CIL:54796, Homo sapiens, SBAD2 human iPSC line
DOI: 10.7295/w9cil54797
title: CIL:54797, Homo sapiens, SBAD2 human iPSC line
DOI: 10.7295/w9cil54798
title: CIL:54798, Homo sapiens, SBAD2 human iPSC line
DOI: 10.7295/w9cil54799
title: CIL:54799, Homo sapiens, SBAD2 human iPSC line
DOI: 10.7295/w9cil54800
title: CIL:54800, Homo sapiens, SBAD2 human iPSC line
DOI: 10.7295/w9cil54801
title: CIL:54801, Homo sapiens, SBAD2 human iPSC line
DOI: 10.7295/w9cil54802
title: CIL:54802, Homo sapiens, SBAD2 human iPSC line
DOI: 10.7295/w9cil54803
title: CIL:54803, Homo sapiens, SBAD2 human iPSC line
DOI: 10.7295/w9cil54804
title: CIL:54804, Homo sapiens, SBAD2 human iPSC line
DOI: 10.7295/w9cil54805
title: CIL:54805, Homo sapiens, SBAD2 human iPSC line
DOI: 10.7295/w9cil54806
title: CIL:54806, Homo sapiens, SBAD2 human iPSC line
DOI: 10.7295/w9cil54807
title: CIL:54807, Homo sapiens, SBAD2 human iPSC line
DOI: 10.34740/kaggle/dsv/3542441
title: AutoXGB
DOI: 10.5517/ccdc.csd.cc2b7bdb
title: CCDC 2152001: Experimental Crystal Structure Determination

description: Related Article: Anna Ignaszak, Nigel Patterson, Connor O'Brien, Allison True, Mark R. J. Elsegood, Timothy J. Prior, Carl Redshaw|2022|RSC Advances|12|11672|doi:10.1039/D2RA01009G
DOI: 10.5517/ccdc.csd.cc2b7bfc
title: CCDC 2152002: Experimental Crystal Structure Determination

description: Related Article: Anna Ignaszak, Nigel Patterson, Connor O'Brien, Allison True, Mark R. J. Elsegood, Timothy J. Prior, Carl Redshaw|2022|RSC Advances|12|11672|doi:10.1039/D2RA01009G
DOI: 10.21227/2w2w-t539
title: SouthlandSodFarms

description: Lawn maintenance is a popular recreational activity for people all over the world. It's part of this activity to know when to water, trim, and even replace SOD. If you've just added a fresh layer of sod to your lawn, there are a few things to keep in mind. Sod is a living plant that will eventually die. Once you've paid for it, make sure to get it installed as soon as possible. The best chance for your new sod is to work with a professional lawn care company.
DOI: 10.6084/m9.figshare.19672386
title: GO annotation of genes associated with upregulated miRNA

description: WebGeStalt ananlysis of genes associated wuth upregulated miRNA
DOI: 10.6084/m9.figshare.19672392
title: GO Annotation of genes associated with downregulated miRNA

description: WeBGestalt analysis of GO annotation of genes associated with downregulated miRNA
DOI: 10.6084/m9.figshare.19672290
title: OM DESEQ2

description: DESEQ2 result of Oral Malignancy data
DOI: 10.6084/m9.figshare.19672311
title: mirnet upregulated

description: miRNet 2 result of upregulated genes
DOI: 10.6084/m9.figshare.19672326.v1
title: miRNet2 downregulated

description: mirent2 result of downregulated
DOI: 10.6084/m9.figshare.19672281
title: OSMF_DeSeq2_Manuscript_Oral Cancer.xlsx

description: File contains DeSeq2 result of significant genes
DOI: 10.6084/m9.figshare.19672290.v1
title: OM DESEQ2

description: DESEQ2 result of Oral Malignancy data
DOI: 10.6084/m9.figshare.19672281.v1
title: OSMF_DeSeq2_Manuscript_Oral Cancer.xlsx

description: File contains DeSeq2 result of significant genes
DOI: 10.6084/m9.figshare.19672311.v1
title: mirnet upregulated

description: miRNet 2 result of upregulated genes
DOI: 10.6084/m9.figshare.19672326
title: miRNet2 downregulated

description: mirent2 result of downregulated
DOI: 10.6084/m9.figshare.19672392.v1
title: GO Annotation of genes associated with downregulated miRNA

description: WeBGestalt analysis of GO annotation of genes associated with downregulated miRNA
DOI: 10.5281/zenodo.6500216
title: Data and codes for the precipitation prediction

description: Data and codes for the precipitation prediction task in Hubei Province
DOI: 10.5281/zenodo.6489119
title: Data and codes for the precipitation prediction

description: Data and codes for the precipitation prediction task in Hubei Province
DOI: 10.6084/m9.figshare.19672422
title: Supplementary Material for: Kidney-Metabolic Factors Associated with Cognitive Impairment in Chronic Kidney Disease: A Pilot Study

description: <b><i>Introduction:</i></b> The associations of kidney-metabolic biomarkers with cognitive impairment (CI) beyond the estimated glomerular filtration rate (eGFR, in mL/min/1.73 m<sup>2</sup>) and albuminuria levels are not well understood. In exploratory analysis, our objective was to determine the extent that three kidney-metabolic factors, previously proposed as mechanisms of CI and commonly abnormal in chronic kidney disease (CKD), were associated with prevalent CI in CKD participants, adjusted for kidney function measures. <b><i>Methods:</i></b> The study cohort included community-dwelling individuals aged ≥45 years with CKD (eGFR &lt;60), not requiring dialysis, recruited from four health systems. We examined the serum biomarkers bicarbonate (CO<sub>2</sub>), TNFαR1, and cholesterol as primary exposures. A structured neuropsychological battery conducted by trained staff measured global and domain-specific cognitive performance. Logistic regression analyses estimated the cross-sectional associations between kidney-metabolic measures and global and cognitive domain-specific moderate/severe (Mod/Sev) CI, adjusted for the eGFR, urinary albumin-creatinine ratio (UACR, mg/g), demographics, comorbid conditions, and other kidney-metabolic biomarkers commonly abnormal in CKD. <b><i>Results:</i></b> Among 436 CKD participants with mean age 70 years, 16% were Black, the mean eGFR was 34, and the median [IQR] UACR was 49 [0.0, 378] mg/g. In adjusted models, increased TNFαR1 was associated with global Mod/Sev CI (odds ratio [95% confidence interval] = 1.40 [1.02, 1.93]; <i>p</i> = 0.04); low bicarbonate (CO<sub>2</sub> &lt;20 mEq/L) with Mod/Sev memory impairment (3.04 [1.09, 8.47]; <i>p</i> = 0.03), and each 10-mg/dL lower cholesterol was associated with Mod/Sev executive function/processing speed impairment (1.12 [1.02, 1.23]; <i>p</i> = 0.02). However, after adjustment for multiple comparisons, these associations were no longer significant nor were any other kidney-metabolic factors significant for any CI classification. <b><i>Conclusion:</i></b> In exploratory analyses in a CKD population, three kidney-metabolic factors were associated with CI, but after adjustment for multiple comparisons, were no longer significant. Future studies in larger CKD populations are needed to assess these potential risk factors for CI.
DOI: 10.6084/m9.figshare.19672389.v1
title: List of Tiny House companies

description: A list of Tiny Houses bulders, sellers and other related companies. These very from large companies to independent/hobbyist constructors. <br> The catalogue is generated from the following sources, cleaning and de-duplicating: https://tinyhousecommunity.com/builders-plans-more/ https://tinyliving.com/builders/ https://craft-mart.com/tiny-home-builders-directory/ A location field has been added. This is a full address where possible, or a partial location. Sometimes this is from the entry in the source lists, sometimes from information on the web page. If no other information about location could be found, but a phone number was given, the location was set based on the phone number area code. <br> A URL has been added. The type field indicates how URL details were gathered: an individual website, or, if none found, then a social media profile or mention on a third-party blog <br> The field indexed_by_google gives the year that Google's metadata reports as when the site was first indexed, as some indicator of the age of the company. If the online presence tpe is Facebook, then the creation date of the Facebook page was used.
DOI: 10.6084/m9.figshare.19672389
title: List of Tiny House companies

description: A list of Tiny Houses bulders, sellers and other related companies. These very from large companies to independent/hobbyist constructors. <br> The catalogue is generated from the following sources, cleaning and de-duplicating: https://tinyhousecommunity.com/builders-plans-more/ https://tinyliving.com/builders/ https://craft-mart.com/tiny-home-builders-directory/ A location field has been added. This is a full address where possible, or a partial location. Sometimes this is from the entry in the source lists, sometimes from information on the web page. If no other information about location could be found, but a phone number was given, the location was set based on the phone number area code. <br> A URL has been added. The type field indicates how URL details were gathered: an individual website, or, if none found, then a social media profile or mention on a third-party blog <br> The field indexed_by_google gives the year that Google's metadata reports as when the site was first indexed, as some indicator of the age of the company. If the online presence tpe is Facebook, then the creation date of the Facebook page was used.
DOI: 10.6084/m9.figshare.19672338.v1
title: Supplemental materials.xlsx

description: This file contains data used to generate the figures in the text, nad the data sources are given in this file.
DOI: 10.25375/uct.18992048
title: A Mechano-Chemical Computational Model of Deep Vein Thrombosis

description: Most deep vein thrombosis (DVT) models developed account for either the mechanical or biochemical factors involved in thrombus formation. Developing a model that accounts for both factors will improve our understanding of the coagulation process. The work presented in this study details the development of a CFD model that considers the biochemical reactions between thrombin and fibrinogen, pulsatile blood flow, and clot growth within a three-dimensional patient-specific common femoral vein. Thrombin is released into the bloodstream from an injury zone on the wall of the vein. The Michaelis-Menten equation is used to represent the conversion of thrombin and fibrinogen to fibrin, the final product of the coagulation process. The model development began in a two-dimensional idealized geometry. At this stage, the model is used to conduct a parametric study to determine the effects of varying parameters such as inlet velocity, vein diameter, and peak thrombin concentration on the size and shape of the clot formed. Peak thrombin concentration is the key factor driving the initiation and propagation of clots in the vein. To demonstrate the potential use of the model, the two-dimensional model is then extended to an image-derived three-dimensional patient-specific geometry. Realistic clot growth was achieved using this model, and the clot was compared to a clot formed in vivo, demonstrating that with further development and refinement, this model could be used for patient-specific interventional planning.
DOI: 10.25375/uct.18992048.v2
title: A Mechano-Chemical Computational Model of Deep Vein Thrombosis

description: Most deep vein thrombosis (DVT) models developed account for either the mechanical or biochemical factors involved in thrombus formation. Developing a model that accounts for both factors will improve our understanding of the coagulation process. The work presented in this study details the development of a CFD model that considers the biochemical reactions between thrombin and fibrinogen, pulsatile blood flow, and clot growth within a three-dimensional patient-specific common femoral vein. Thrombin is released into the bloodstream from an injury zone on the wall of the vein. The Michaelis-Menten equation is used to represent the conversion of thrombin and fibrinogen to fibrin, the final product of the coagulation process. The model development began in a two-dimensional idealized geometry. At this stage, the model is used to conduct a parametric study to determine the effects of varying parameters such as inlet velocity, vein diameter, and peak thrombin concentration on the size and shape of the clot formed. Peak thrombin concentration is the key factor driving the initiation and propagation of clots in the vein. To demonstrate the potential use of the model, the two-dimensional model is then extended to an image-derived three-dimensional patient-specific geometry. Realistic clot growth was achieved using this model, and the clot was compared to a clot formed in vivo, demonstrating that with further development and refinement, this model could be used for patient-specific interventional planning.
DOI: 10.25375/uct.18992048.v1
title: A Mechano-Chemical Computational Model of Deep Vein Thrombosis

description: Most deep vein thrombosis (DVT) models developed account for either the mechanical or biochemical factors involved in thrombus formation. Developing a model that accounts for both factors will improve our understanding of the coagulation process. The work presented in this study details the development of a CFD model that considers the biochemical reactions between thrombin and fibrinogen, pulsatile blood flow, and clot growth within a three-dimensional patient-specific common femoral vein. Thrombin is released into the bloodstream from an injury zone on the wall of the vein. The Michaelis-Menten equation is used to represent the conversion of thrombin and fibrinogen to fibrin, the final product of the coagulation process. The model development began in a two-dimensional idealized geometry. At this stage, the model is used to conduct a parametric study to determine the effects of varying parameters such as inlet velocity, vein diameter, and peak thrombin concentration on the size and shape of the clot formed. Peak thrombin concentration is the key factor driving the initiation and propagation of clots in the vein. To demonstrate the potential use of the model, the two-dimensional model is then extended to an image-derived three-dimensional patient-specific geometry. Realistic clot growth was achieved using this model, and the clot was compared to a clot formed in vivo, demonstrating that with further development and refinement, this model could be used for patient-specific interventional planning.
DOI: 10.5281/zenodo.6500310
title: Dataset for Assouline et al Nature Physics 17, 1369 (2021), DOI:10.1038/s41567-021-01411-z

description: Datasets used to generate the figures for Nature Physics <strong>17</strong>, 1369 (2021), "Excitonic nature of magnons in a quantum Hall ferromagnet"
description: Parts of this work were funded by the EMPIR project SEQUOIA 17FUN04 co-financed by the participating states and the European Unions Horizon 2020 programme
DOI: 10.5281/zenodo.6045043
title: Dataset for Assouline et al Nature Physics 17, 1369 (2021), DOI:10.1038/s41567-021-01411-z

description: Datasets used to generate the figures for Nature Physics <strong>17</strong>, 1369 (2021), "Excitonic nature of magnons in a quantum Hall ferromagnet"
description: Parts of this work were funded by the EMPIR project SEQUOIA 17FUN04 co-financed by the participating states and the European Unions Horizon 2020 programme
DOI: 10.6084/m9.figshare.19665240
title: Data repository for the article "A model combining patchy saturation and moisture-induced elastic weakening with application to ultrasonic monitoring under varying water saturation" in Geophysical Journal International

description: <strong>Data repository for the article "A model combining patchy saturation and moisture-induced elastic weakening with application to ultrasonic monitoring under varying water saturation" in Geophysical Journal International.</strong> <br> <strong>The dataset from the Figures is reported here.</strong>
DOI: 10.6084/m9.figshare.19665240.v1
title: Data repository for the article "A model combining patchy saturation and moisture-induced elastic weakening with application to ultrasonic monitoring under varying water saturation" in Geophysical Journal International

description: <strong>Data repository for the article "A model combining patchy saturation and moisture-induced elastic weakening with application to ultrasonic monitoring under varying water saturation" in Geophysical Journal International.</strong> <br> <strong>The dataset from the Figures is reported here.</strong>
DOI: 10.6084/m9.figshare.14844912
title: Dataset with distance, travel times, GTCs in Spain 1867 - Geolocation of railway stations (1848-1930)

description: We provide a first estimation of travel times between Spanish provinces circa 1867 (with a basic indicator of generalized transportations costs [GTCs]) and the geolocation of railway stations and stops between 1848 and 1930. This is work in progress that will be periodically updated with new times and GTCs estimations (for other years), new stop geolocations, and/or data correction when necessary.<br>We refer the reader to the accompanying working paper detailing the statistical sources, methods and results:<br>Sáiz, Patricio and Barbosa, Sergio and Zofío, José L., Travel Times and Basic GTCs between Spanish Provinces circa 1867 and Geolocation of Railway Stations and Stops (1848-1930) (June 15, 2020). IBCNetwork E-Resources, 2020/06, Available at SSRN: http://dx.doi.org/10.2139/ssrn.3874111.<br>The dataset file [XLSX format] includes three matrices containing the distances, travel times and generalized transportation costs (GTCs) between the capitals of Spanish provinces. A fourth sheet lists the geolocation of all railway stations existing in peninsular Spain in the 1848-1930 period, their opening date and whether they belong to the narrow- or wide-gauge railway network. <br>We welcome any collaborations, comments and suggestions leading to the improvement of the dataset. Contributions will be acknowledged in subsequent versions.
DOI: 10.6084/m9.figshare.14844912.v3
title: Dataset with distance, travel times, GTCs in Spain 1867 - Geolocation of railway stations (1848-1930)

description: We provide a first estimation of travel times between Spanish provinces circa 1867 (with a basic indicator of generalized transportations costs [GTCs]) and the geolocation of railway stations and stops between 1848 and 1930. This is work in progress that will be periodically updated with new times and GTCs estimations (for other years), new stop geolocations, and/or data correction when necessary.<br>We refer the reader to the accompanying working paper detailing the statistical sources, methods and results:<br>Sáiz, Patricio and Barbosa, Sergio and Zofío, José L., Travel Times and Basic GTCs between Spanish Provinces circa 1867 and Geolocation of Railway Stations and Stops (1848-1930) (June 15, 2020). IBCNetwork E-Resources, 2020/06, Available at SSRN: http://dx.doi.org/10.2139/ssrn.3874111.<br>The dataset file [XLSX format] includes three matrices containing the distances, travel times and generalized transportation costs (GTCs) between the capitals of Spanish provinces. A fourth sheet lists the geolocation of all railway stations existing in peninsular Spain in the 1848-1930 period, their opening date and whether they belong to the narrow- or wide-gauge railway network. <br>We welcome any collaborations, comments and suggestions leading to the improvement of the dataset. Contributions will be acknowledged in subsequent versions.
DOI: 10.6084/m9.figshare.14844912.v2
title: Dataset with distance, travel times, GTCs in Spain 1867 - Geolocation of railway stations (1848-1930)

description: We provide a first estimation of travel times between Spanish provinces circa 1867 (with a basic indicator of generalized transportations costs [GTCs]) and the geolocation of railway stations and stops between 1848 and 1930. This is work in progress that will be periodically updated with new times and GTCs estimations (for other years), new stop geolocations, and/or data correction when necessary.<br>We refer the reader to the accompanying working paper detailing the statistical sources, methods and results:<br>Sáiz, Patricio and Barbosa, Sergio and Zofío, José L., Travel Times and Basic GTCs between Spanish Provinces circa 1867 and Geolocation of Railway Stations and Stops (1848-1930) (June 15, 2020). IBCNetwork E-Resources, 2020/06, Available at SSRN: http://dx.doi.org/10.2139/ssrn.3874111.<br>The dataset file [XLSX format] includes three matrices containing the distances, travel times and generalized transportation costs (GTCs) between the capitals of Spanish provinces. A fourth sheet lists the geolocation of all railway stations existing in peninsular Spain in the 1848-1930 period, their opening date and whether they belong to the narrow- or wide-gauge railway network. <br>We welcome any collaborations, comments and suggestions leading to the improvement of the dataset. Contributions will be acknowledged in subsequent versions.