cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.22638028.v1
title: Additional file 1 of Prognostic predictors of radical resection of stage I-IIIB non-small cell lung cancer: the role of preoperative CT texture features, conventional imaging features, and clinical features in a retrospectively analyzed

description: Additional file 1.
DOI: 10.6084/m9.figshare.22638031
title: Additional file 2 of Prognostic predictors of radical resection of stage I-IIIB non-small cell lung cancer: the role of preoperative CT texture features, conventional imaging features, and clinical features in a retrospectively analyzed

description: Additional file 2.
DOI: 10.25549/usctheses-ouc11258515
title: Microsoft Word - Moheb_Yani_Dissertation_ForPhDCommittee_V1_Formatting_Changes.docx
DOI: 10.6084/m9.figshare.16870911
title: EloA promotes HEL polyploidization upon PMA stimulation through enhanced ERK1/2 activity

description: Megakaryocytes (MKs) are the unique non-pathological cells that undergo polyploidization in mammals. The polyploid formation is critical for understanding the MK biology, and transcriptional regulation is involved in the differentiation and maturation of MKs. However, little is known about the functions of transcriptional elongation factors in the MK polyploidization. In this study, we investigated the role of transcription elongation factor EloA in the polyploidy formation during the MK differentiation. We found that EloA was highly expressed in the erythroleukemia cell lines HEL and K562. Knockdown of EloA in HEL cell line was shown to impair the phorbol myristate acetate (PMA) induced polyploidization process, which was used extensively to model megakaryocytic differentiation. Selective over-expression of EloA mutants with Pol II elongation activity partially restored the polyploidization. RNA-sequencing revealed that knockdown of EloA decelerated the transcription of genes enriched in the ERK1/2 cascade pathway. The phosphorylation activity of ERK1/2 decreased upon the EloA inhibition, and the polyploidization process of HEL was hindered when ERK1/2 phosphorylation was inhibited by PD0325901 or SCH772984. This study evidenced a positive role of EloA in HEL polyploidization upon PMA stimulation through enhanced ERK1/2 activity.
DOI: 10.6084/m9.figshare.16870911.v1
title: EloA promotes HEL polyploidization upon PMA stimulation through enhanced ERK1/2 activity

description: Megakaryocytes (MKs) are the unique non-pathological cells that undergo polyploidization in mammals. The polyploid formation is critical for understanding the MK biology, and transcriptional regulation is involved in the differentiation and maturation of MKs. However, little is known about the functions of transcriptional elongation factors in the MK polyploidization. In this study, we investigated the role of transcription elongation factor EloA in the polyploidy formation during the MK differentiation. We found that EloA was highly expressed in the erythroleukemia cell lines HEL and K562. Knockdown of EloA in HEL cell line was shown to impair the phorbol myristate acetate (PMA) induced polyploidization process, which was used extensively to model megakaryocytic differentiation. Selective over-expression of EloA mutants with Pol II elongation activity partially restored the polyploidization. RNA-sequencing revealed that knockdown of EloA decelerated the transcription of genes enriched in the ERK1/2 cascade pathway. The phosphorylation activity of ERK1/2 decreased upon the EloA inhibition, and the polyploidization process of HEL was hindered when ERK1/2 phosphorylation was inhibited by PD0325901 or SCH772984. This study evidenced a positive role of EloA in HEL polyploidization upon PMA stimulation through enhanced ERK1/2 activity.
DOI: 10.25549/usctheses-ouc11258567
title: Microsoft Word - Olivia Thesis Final.docx
DOI: 10.6084/m9.figshare.15826522
title: <i>In-vitro</i> antioxidant and <i>in-vivo</i> anti-aging with stress resistance on <i>Caenorhabditis elegans</i> of herbaceous peony stamen tea

description: Herbaceous peony (<i>Paeonia lactiflora</i> Pall.) is a traditional Chinese medicinal herb with roots; however, the flowers, specifically the stamens have not been exploited. In this study, the main active components of <i>P. lactiflora</i> stamens (PLS) were identified, and <i>in vitro</i> antioxidant, <i>in vivo</i> anti-aging and stress resistance properties were examined using the nematode <i>Caenorhabditis elegans</i>. Our results showed that PLS contains 350 active components including flavonoids, phenolic acids, terpenoids, alkaloids, and others. PLS extracts at concentrations of 0.2–1.2 mg·mL<sup>−1</sup> had strong antioxidant activity <i>in vitro</i> and showed a linear increase of concentration. The value of absorbance, scavenging activity of ·OH, DPPH and ABTS was 0.84, 31.55%, 84.67%, and 99.49% at 1.2 mg·mL<sup>−1</sup>, respectively. Moreover, PLS extracted at the same concentrations had no toxic effects on <i>C. elegans</i>, and the treatment with 1.2 mg·mL<sup>−1</sup> PLS extract significantly extended <i>C. elegans</i> lifespan that was not at the expense of reducing its reproduction and <i>Escherichia coli</i> OP50 growth. Furthermore, the same treatment extract enhanced their locomotion behavior and decreased their intestinal autofluorescence during the aging process. Additionally, the stress resistance of <i>C. elegans</i> under both heat and oxidative stress conditions were significantly induced by 1.2 mg·mL<sup>−1</sup> PLS extract treatment. Collectively, these results demonstrated that PLS extract exerted both <i>in vitro</i> antioxidant and <i>in vivo</i> anti-aging together with stress resistance properties, which could provide the theoretical basis for its production and popularization in China.
DOI: 10.6084/m9.figshare.22638029.v1
title: Additional file 1 of ART outcomes of patients in women with Isolated Hypogonadotropic Hypogonadism: a retrospective study in China

description: Additional file 1: Supplementary Table 1. ROC curves of selected ovarian reservation related markers in COS cycles to predict high and low ovarian response in IHH patients. Supplementary Table 2. Univariate logistic regression analyse of clinical pregnancy in IHH group. Supplementary Table 3. Linear regression model for the usage of Gn in IHH patients who underwent ET.
DOI: 10.6084/m9.figshare.13725173
title: Additional file 4 of Inequalities in changing mortality and life expectancy in Jiading District, Shanghai, 2002–2018

description: Additional file 4: Table S3.
DOI: 10.6084/m9.figshare.13725173.v1
title: Additional file 4 of Inequalities in changing mortality and life expectancy in Jiading District, Shanghai, 2002–2018

description: Additional file 4: Table S3.
DOI: 10.6084/m9.figshare.25188662.v1
title: Supplemental data, code, and models from <b><i>A Light Touch: Solar Photocatalysis Detoxifies Oil Sands Process-Affected Waters Prior to Significant Treatment of Naphthenic Acids</i></b>

description: Raw data, code (Python scripts), and models (for <i>K</i><sub>ow</sub> and <i>K</i><sub>mw</sub> partition coefficient prediction; physiologically based models, PBMs).
DOI: 10.6084/m9.figshare.21582233.v1
title: Additional file 1 of Two-stage treatment for severe spinal kyphotic deformity secondary to tuberculosis: halo-pelvic traction followed by a posterior-only approach correction

description: Additional file 1.
DOI: 10.6084/m9.figshare.23970039
title: Variants_auna.xlsx

description: In Peru, on 11 February 2023, the Ministry of Health registered 4 million patients infected with COVID-19 and around 219,260 deaths. In 2020, the SARS-CoV-2 virus was acquiring mutations that impacted the properties of transmissibility, infectivity, and immune evasion, leading to new lineages. In the present study, the frequency of COVID-19 variants was determined during 2021 and 2022 in patients treated in the AUNA healthcare network. The methodology used to detect mutations and identify variants was the Allplex<sup>TM</sup> SARS-CoV-2 Variants Assay I, II, and VII kit RT-PCR. The frequency of variants was presented by epidemiological weeks. In total, 544 positive samples were evaluated, where the Delta, Ómicron, and Gamma variants were identified. The Delta variant was found in 242 (44.5%) patients between epidemiological weeks 39 and 52 in 2021. In the case of Gamma, it was observed in 8 (1.5%) patients at weeks 39, 41, 43, 45, and 46 of 2021. The Omicron variant was the most frequent with 289 (53.1%) patients during weeks 49 to 52 of 2021 and 1 to 22 of 2022. During weeks 1 through 22 of 2022, it was possible to discriminate between BA. 1 (n=32) and BA.2 (n=82). In conclusion, the rapid identification of COVID-19 variants through the RT-PCR methodology contributes to timely epidemiological surveillance, as well as appropriate patient management.
DOI: 10.6084/m9.figshare.23970039.v1
title: Variants_auna.xlsx

description: In Peru, on 11 February 2023, the Ministry of Health registered 4 million patients infected with COVID-19 and around 219,260 deaths. In 2020, the SARS-CoV-2 virus was acquiring mutations that impacted the properties of transmissibility, infectivity, and immune evasion, leading to new lineages. In the present study, the frequency of COVID-19 variants was determined during 2021 and 2022 in patients treated in the AUNA healthcare network. The methodology used to detect mutations and identify variants was the Allplex<sup>TM</sup> SARS-CoV-2 Variants Assay I, II, and VII kit RT-PCR. The frequency of variants was presented by epidemiological weeks. In total, 544 positive samples were evaluated, where the Delta, Ómicron, and Gamma variants were identified. The Delta variant was found in 242 (44.5%) patients between epidemiological weeks 39 and 52 in 2021. In the case of Gamma, it was observed in 8 (1.5%) patients at weeks 39, 41, 43, 45, and 46 of 2021. The Omicron variant was the most frequent with 289 (53.1%) patients during weeks 49 to 52 of 2021 and 1 to 22 of 2022. During weeks 1 through 22 of 2022, it was possible to discriminate between BA. 1 (n=32) and BA.2 (n=82). In conclusion, the rapid identification of COVID-19 variants through the RT-PCR methodology contributes to timely epidemiological surveillance, as well as appropriate patient management.
DOI: 10.6084/m9.figshare.21582646.v1
title: Additional file 1 of A two-step process for in silico screening to assess the performance of qRTPCR kits against variant strains of SARS-CoV-2

description: Additional file 1.
DOI: 10.6084/m9.figshare.21582740
title: Additional file 1 of Regional industrial growth and biopharma patent networks: empirical insights from the UK

description: Additional file 1. Appendix 1.csv.
DOI: 10.6084/m9.figshare.14766984.v1
title: Additional file 1 of Identification of prognostic markers for hepatocellular carcinoma based on the epithelial-mesenchymal transition-related gene BIRC5

description: Additional file 1.
DOI: 10.6084/m9.figshare.14766987.v1
title: Additional file 2 of Identification of prognostic markers for hepatocellular carcinoma based on the epithelial-mesenchymal transition-related gene BIRC5

description: Additional file 2.
DOI: 10.25549/usctheses-ouc11363552
title: Planning, programming, budgeting system support capabilities of the California education information system
DOI: 10.6084/m9.figshare.16863736
title: Additional file 2 of Identification of C3 and FN1 as potential biomarkers associated with progression and prognosis for clear cell renal cell carcinoma

description: Additional file 2.
DOI: 10.6084/m9.figshare.16863736.v1
title: Additional file 2 of Identification of C3 and FN1 as potential biomarkers associated with progression and prognosis for clear cell renal cell carcinoma

description: Additional file 2.
DOI: 10.6084/m9.figshare.25188662
title: Supplemental data, code, and models from <b><i>A Light Touch: Solar Photocatalysis Detoxifies Oil Sands Process-Affected Waters Prior to Significant Treatment of Naphthenic Acids</i></b>

description: Raw data, code (Python scripts), and models (for <i>K</i><sub>ow</sub> and <i>K</i><sub>mw</sub> partition coefficient prediction; physiologically based models, PBMs).
DOI: 10.5281/zenodo.10635804
title: Supplemental data
DOI: 10.5281/zenodo.10635805
title: Supplemental data
DOI: 10.57745/muky4e
title: ReadMe.rtf

description: Description of the content of the .zip archive file
DOI: 10.5281/zenodo.10607839
title: PUDL Raw EIA Form 757A -- Natural Gas Processing Plant Survey

description: The EIA Form 757A, also known as the Natural Gas Processing Plant Survey Schedule A provides detailed plant-level information on the capacity, status, operations and connecting infrastructure of natural gas processing plants. The form is completed every three years. Archived from https://www.eia.gov/naturalgas/ngqs/

This archive contains raw input data for the Public Utility Data Liberation (PUDL) software developed by Catalyst Cooperative. It is organized into Frictionless Data Packages. For additional information about this data and PUDL, see the following resources:



The PUDL Repository on GitHub

PUDL Documentation

Other Catalyst Cooperative data archives
DOI: 10.25549/usctheses-ouc11258005
title: Dissertaition Manuscript_DJGonzales
DOI: 10.5281/zenodo.10607838
title: PUDL Raw EIA Form 757A -- Natural Gas Processing Plant Survey

description: The EIA Form 757A, also known as the Natural Gas Processing Plant Survey Schedule A provides detailed plant-level information on the capacity, status, operations and connecting infrastructure of natural gas processing plants. The form is completed every three years. Archived from https://www.eia.gov/naturalgas/ngqs/

This archive contains raw input data for the Public Utility Data Liberation (PUDL) software developed by Catalyst Cooperative. It is organized into Frictionless Data Packages. For additional information about this data and PUDL, see the following resources:



The PUDL Repository on GitHub

PUDL Documentation

Other Catalyst Cooperative data archives
DOI: 10.5281/zenodo.10635277
title: PUDL Raw EIA Form 757A -- Natural Gas Processing Plant Survey

description: The EIA Form 757A, also known as the Natural Gas Processing Plant Survey Schedule A provides detailed plant-level information on the capacity, status, operations and connecting infrastructure of natural gas processing plants. The form is completed every three years. Archived from https://www.eia.gov/naturalgas/ngqs/

This archive contains raw input data for the Public Utility Data Liberation (PUDL) software developed by Catalyst Cooperative. It is organized into Frictionless Data Packages. For additional information about this data and PUDL, see the following resources:



The PUDL Repository on GitHub

PUDL Documentation

Other Catalyst Cooperative data archives
DOI: 10.6084/m9.figshare.21582740.v1
title: Additional file 1 of Regional industrial growth and biopharma patent networks: empirical insights from the UK

description: Additional file 1. Appendix 1.csv.
DOI: 10.25549/usctheses-ouc11258008
title: Microsoft Word - Villasenor - dissertation final draft.docx
DOI: 10.6084/m9.figshare.22631464.v1
title: Additional file 7 of Proteomic profiles and the function of RBP4 in endometrium during embryo implantation phases in pigs

description: Additional file 7.
DOI: 10.6084/m9.figshare.22631514.v1
title: Additional file 3 of Hpgd affects the progression of hypoxic pulmonary hypertension by regulating vascular remodeling

description: Supplementary Material 3
DOI: 10.15468/dl.hgvnb8
title: Occurrence Download

description: A dataset containing 303281 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pipilo chlorurus (Audubon, 1839)"
 ]
}

 The dataset includes 303281 records from 130 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0064043-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.c4v4j9
title: Occurrence Download

description: A dataset containing 138083 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Luzula sylvatica (Huds.) Gaudin"
 ]
}

 The dataset includes 138083 records from 939 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0064032-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2y3jgg
title: Occurrence Download

description: A dataset containing 347164 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Poa nemoralis L."
 ]
}

 The dataset includes 347164 records from 1805 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0064037-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh2065532.08fu
title: SH2065532.08FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh2637995.08fu
title: SH2637995.08FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh2637996.08fu
title: SH2637996.08FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh2637997.08fu
title: SH2637997.08FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh2065533.08fu
title: SH2065533.08FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh2065534.08fu
title: SH2065534.08FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.