cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.19164693
title: Decision-making conversations for life-sustaining treatment with seriously ill patients using a Danish version of the US POLST: a qualitative study of patient and physician experiences

description: To explore patients’ and physicians’ perspectives on a decision-making conversation for life-sustaining treatment, based on the Danish model of the American Physician Orders for Life Sustaining Treatment (POLST) form. Semi-structured interviews following a conversation about preferences for life-sustaining treatment. Danish hospitals, nursing homes, and general practitioners’ clinics. Patients and physicians. Qualitative analyses of interview data. After participating in a conversation about life-sustaining treatment using the Danish POLST form, a total of six patients and five physicians representing different settings and age groups participated in an interview about their experience of the process. Within the main research questions, six subthemes were identified: Timing, relatives are key persons, clarifying treatment preferences, documentation across settings, strengthening patient autonomy, and structure influences conversations. Most patients and physicians found having a conversation about levels of life-sustaining treatment valuable but also complicated due to the different levels of knowledge and attending to individual patient needs and medical necessities. Relatives were considered as key persons to ensure the understanding of the treatment trajectory and the ability to advocate for the patient in case of a medical crisis. The majority of participants found that the conversation strengthened patient autonomy. Patients and physicians found having a conversation about levels of life-sustaining treatment valuable, especially for strengthening patient autonomy. Relatives were considered key persons. The timing of the conversation and securing sufficient knowledge for shared decision-making were the main perceived challenges.KEY POINTSConversations about preferences for life-sustaining treatment are important, but not performed systematically.When planning a conversation about preferences for life-sustaining treatment, the timing of the conversation and the inclusion of relatives are key elements.Decision-making conversations can help patients feel in charge and less alone, and make it easier for health professionals to provide goal-concordant care.Using a model like the Danish POLST form may help to initiate, conduct and structure conversations about preferences for life-sustaining treatment. Conversations about preferences for life-sustaining treatment are important, but not performed systematically. When planning a conversation about preferences for life-sustaining treatment, the timing of the conversation and the inclusion of relatives are key elements. Decision-making conversations can help patients feel in charge and less alone, and make it easier for health professionals to provide goal-concordant care. Using a model like the Danish POLST form may help to initiate, conduct and structure conversations about preferences for life-sustaining treatment.
DOI: 10.6084/m9.figshare.19779935
title: S100 calcium-binding protein A10 contributes to malignant traits in osteosarcoma cells by regulating glycolytic metabolism via the AKT/mTOR pathway

description: As an aggressive musculoskeletal malignancy, osteosarcoma (OSa) is popular among young adults and teenagers worldwide. S100 calcium-binding protein A10 (S100A10) functioned as a novel tumor-promoting protein in several human cancers. However, its role in OSa remains obscure. In this study, gene and protein levels were respectively determined by RT-qPCR or Western blotting. OSa cell proliferation, apoptosis, and metastasis were evaluated via CCK-8, colony formation, flow cytometry, and Transwell assays. To assess the glycolysis level, glucose consumption and lactate production were detected. It was found S100A10 was highly expressed in OSa tissues and cell lines. Besides, S100A10 facilitated proliferation and metastasis, and inhibited apoptosis in OSa cells. In addition, S100A10 regulated OSa cell proliferation, metastasis and apoptosis via mediating the glycolysis process. Furthermore, S100A10-mediated AKT/mTOR signaling accelerated glycolysis, thereby promoting malignant behaviors in OSa cells. Taken together, our findings indicated that S100A10 might promote malignant phenotypes of OSa cells by accelerating glycolysis and activating the AKT/mTOR signaling, providing a promising target for OSa treatment.
DOI: 10.6084/m9.figshare.19779935.v1
title: S100 calcium-binding protein A10 contributes to malignant traits in osteosarcoma cells by regulating glycolytic metabolism via the AKT/mTOR pathway

description: As an aggressive musculoskeletal malignancy, osteosarcoma (OSa) is popular among young adults and teenagers worldwide. S100 calcium-binding protein A10 (S100A10) functioned as a novel tumor-promoting protein in several human cancers. However, its role in OSa remains obscure. In this study, gene and protein levels were respectively determined by RT-qPCR or Western blotting. OSa cell proliferation, apoptosis, and metastasis were evaluated via CCK-8, colony formation, flow cytometry, and Transwell assays. To assess the glycolysis level, glucose consumption and lactate production were detected. It was found S100A10 was highly expressed in OSa tissues and cell lines. Besides, S100A10 facilitated proliferation and metastasis, and inhibited apoptosis in OSa cells. In addition, S100A10 regulated OSa cell proliferation, metastasis and apoptosis via mediating the glycolysis process. Furthermore, S100A10-mediated AKT/mTOR signaling accelerated glycolysis, thereby promoting malignant behaviors in OSa cells. Taken together, our findings indicated that S100A10 might promote malignant phenotypes of OSa cells by accelerating glycolysis and activating the AKT/mTOR signaling, providing a promising target for OSa treatment.
DOI: 10.6084/m9.figshare.19164693.v1
title: Decision-making conversations for life-sustaining treatment with seriously ill patients using a Danish version of the US POLST: a qualitative study of patient and physician experiences

description: To explore patients’ and physicians’ perspectives on a decision-making conversation for life-sustaining treatment, based on the Danish model of the American Physician Orders for Life Sustaining Treatment (POLST) form. Semi-structured interviews following a conversation about preferences for life-sustaining treatment. Danish hospitals, nursing homes, and general practitioners’ clinics. Patients and physicians. Qualitative analyses of interview data. After participating in a conversation about life-sustaining treatment using the Danish POLST form, a total of six patients and five physicians representing different settings and age groups participated in an interview about their experience of the process. Within the main research questions, six subthemes were identified: Timing, relatives are key persons, clarifying treatment preferences, documentation across settings, strengthening patient autonomy, and structure influences conversations. Most patients and physicians found having a conversation about levels of life-sustaining treatment valuable but also complicated due to the different levels of knowledge and attending to individual patient needs and medical necessities. Relatives were considered as key persons to ensure the understanding of the treatment trajectory and the ability to advocate for the patient in case of a medical crisis. The majority of participants found that the conversation strengthened patient autonomy. Patients and physicians found having a conversation about levels of life-sustaining treatment valuable, especially for strengthening patient autonomy. Relatives were considered key persons. The timing of the conversation and securing sufficient knowledge for shared decision-making were the main perceived challenges.KEY POINTSConversations about preferences for life-sustaining treatment are important, but not performed systematically.When planning a conversation about preferences for life-sustaining treatment, the timing of the conversation and the inclusion of relatives are key elements.Decision-making conversations can help patients feel in charge and less alone, and make it easier for health professionals to provide goal-concordant care.Using a model like the Danish POLST form may help to initiate, conduct and structure conversations about preferences for life-sustaining treatment. Conversations about preferences for life-sustaining treatment are important, but not performed systematically. When planning a conversation about preferences for life-sustaining treatment, the timing of the conversation and the inclusion of relatives are key elements. Decision-making conversations can help patients feel in charge and less alone, and make it easier for health professionals to provide goal-concordant care. Using a model like the Danish POLST form may help to initiate, conduct and structure conversations about preferences for life-sustaining treatment.
DOI: 10.5281/zenodo.3936022
title: Dataset and Scripts for: RefPlantNLR: a comprehensive collection of experimentally validated plant NLRs (v.20200528_415)

description: <strong>RefPlantNLR v.20200528_415</strong> <strong>See </strong>bioRxiv 2020.07.08.193961; doi: https://doi.org/10.1101/2020.07.08.193961 SUPPLEMENTAL DATA Table S1: Description of RefPlantNLR. Table S2: Plant orders represented in RefPlantNLR. Supplemental dataset 1: Amino acid sequences of RefPlantNLR entries (fasta format). This file contains 415 amino acid sequences. Supplemental dataset 2: CDS sequences of RefPlantNLR entries (fasta format). This file contains 400 CDS sequences. CDS sequences could not be retrieved for 15 RefPlantNLR entries. Supplemental dataset 3: Annotated genomic sequences of RefPlantNLR entries (GenBank flat file format). This file contains 329 genomic loci containing the gene models of 344 RefPlantNLR entries and 56 RefPlantNLR mRNA entries lacking genomic information. Supplemental dataset 4: InterProScan annotation of the RefPlantNLR amino acid sequences (GFF3 format). This file contains the InterProScan annotation of 415 amino acid sequences. Supplemental dataset 5: InterProScan annotation of the RefPlantNLR CDS sequences (GFF3 format). This file contains the InterProScan annotation of the 400 CDS sequences. Supplemental dataset 6: Amino acid sequences of the extracted RefPlantNLR NB-ARC domains (fasta format). This file contains 424 NB-ARC domain (SUPERFAMILY signature SSF52540) amino acid sequences belonging to 415 RefPlantNLR entries. Supplemental dataset 7: Amino acid sequences of the unique RefPlantNLR extracted NB-ARC domains (fasta format). This file contains 347 unique NB-ARC domain (SUPERFAMILY signature SSF52540) amino acid sequences. Supplemental dataset 8: Clustal Omega alignment of the unique RefPlantNLR extracted NB-ARC domains (PHYLIP format). This file contains the Clustal Omega alignment of 346 unique NB-ARC domains (SUPERFAMILY signature SSF52540) with all positions with less than 95% coverage removed. Pb1 was omitted from this alignment. Supplemental dataset 9: NB-ARC domain phylogeny of the RefPlantNLR entries using the Maximum likelihood method (Newick format). This file contains the phylogenetic analysis of the NB-ARC domain of the RefPlantNLR entries using the JTT method. Supplemental dataset 10: Amino acid sequences of the non-redundant RefPlantNLR entries (fasta format). This file contains 235 amino acid sequences representing the non-redundant RefPlantNLR entries at a 90% amino acid identity threshold per genus according to the NB-ARC domain. Supplemental dataset 11: Amino acid sequences of the NB-ARC domains of the non-redundant RefPlantNLR entries (fasta format). This file contains 241 amino acid sequences representing the extracted NB-ARC domains of the 235 non-redundant RefPlantNLR. Appendix S1: R script used to generate annotations and figures. Appendix S2: InterProScan descriptions used for generating annotations.
DOI: 10.5281/zenodo.3936021
title: Dataset and Scripts for: RefPlantNLR: a comprehensive collection of experimentally validated plant NLRs (v.20200528_415)

description: <strong>RefPlantNLR v.20200528_415</strong> <strong>See </strong>bioRxiv 2020.07.08.193961; doi: https://doi.org/10.1101/2020.07.08.193961 SUPPLEMENTAL DATA Table S1: Description of RefPlantNLR. Table S2: Plant orders represented in RefPlantNLR. Supplemental dataset 1: Amino acid sequences of RefPlantNLR entries (fasta format). This file contains 415 amino acid sequences. Supplemental dataset 2: CDS sequences of RefPlantNLR entries (fasta format). This file contains 400 CDS sequences. CDS sequences could not be retrieved for 15 RefPlantNLR entries. Supplemental dataset 3: Annotated genomic sequences of RefPlantNLR entries (GenBank flat file format). This file contains 329 genomic loci containing the gene models of 344 RefPlantNLR entries and 56 RefPlantNLR mRNA entries lacking genomic information. Supplemental dataset 4: InterProScan annotation of the RefPlantNLR amino acid sequences (GFF3 format). This file contains the InterProScan annotation of 415 amino acid sequences. Supplemental dataset 5: InterProScan annotation of the RefPlantNLR CDS sequences (GFF3 format). This file contains the InterProScan annotation of the 400 CDS sequences. Supplemental dataset 6: Amino acid sequences of the extracted RefPlantNLR NB-ARC domains (fasta format). This file contains 424 NB-ARC domain (SUPERFAMILY signature SSF52540) amino acid sequences belonging to 415 RefPlantNLR entries. Supplemental dataset 7: Amino acid sequences of the unique RefPlantNLR extracted NB-ARC domains (fasta format). This file contains 347 unique NB-ARC domain (SUPERFAMILY signature SSF52540) amino acid sequences. Supplemental dataset 8: Clustal Omega alignment of the unique RefPlantNLR extracted NB-ARC domains (PHYLIP format). This file contains the Clustal Omega alignment of 346 unique NB-ARC domains (SUPERFAMILY signature SSF52540) with all positions with less than 95% coverage removed. Pb1 was omitted from this alignment. Supplemental dataset 9: NB-ARC domain phylogeny of the RefPlantNLR entries using the Maximum likelihood method (Newick format). This file contains the phylogenetic analysis of the NB-ARC domain of the RefPlantNLR entries using the JTT method. Supplemental dataset 10: Amino acid sequences of the non-redundant RefPlantNLR entries (fasta format). This file contains 235 amino acid sequences representing the non-redundant RefPlantNLR entries at a 90% amino acid identity threshold per genus according to the NB-ARC domain. Supplemental dataset 11: Amino acid sequences of the NB-ARC domains of the non-redundant RefPlantNLR entries (fasta format). This file contains 241 amino acid sequences representing the extracted NB-ARC domains of the 235 non-redundant RefPlantNLR. Appendix S1: R script used to generate annotations and figures. Appendix S2: InterProScan descriptions used for generating annotations.
DOI: 10.7294/19778806
title: Data to accompany the paper “Highly variable densities and a decline in critically endangered golden-crowned sifaka (Propithecus tattersalli) population abundance from 2008-2018,” International Journal of Primatology, In review, 2022.

description: Animal abundance is determined by a number of factors, including vegetation structure, food availability and quality, human activities, predation risk, and disease. Vegetation structure, food availability, and human activity are often used to guide conservation efforts, such as protected area zoning and reforestation, especially for primates. We sought to determine whether Critically Endangered golden-crowned sifaka (<em>Propithecus tattersalli</em>) densities could be predicted across a heterogeneous landscape as a function of vegetation structure, food availability, and human activity. We conducted walking transect surveys across the sifakas’ entire global range in the Loky-Manambato Protected Area of Madagascar from 2016–2018, expanding upon a study conducted in 2006/2008. Potential predictors of sifaka density included metrics of vegetation structure (e.g., tree density, forest type), food availability (e.g., food tree basal area, normalized difference vegetation index (NDVI)), and human activity (e.g., tree cutting, livestock grazing). Low-intensity tree cutting and wet season NDVI were the best, positive predictors of sifaka densities. Our results suggest that from 2008-2018, populations declined by 30-43%, from at least 18,000 (estimated confidence interval of 11,000 – 26,000) to 10,222-12,631 individuals. Sifaka densities within study units across their restricted range (880 km2) were highly variable (range: 6.8-78.1 sifakas/km2), emphasizing the importance of large-scale and randomized study designs for assessing species abundance, regardless of its area of occupancy. Understanding that wet season NDVI was a positive predictor of sifaka densities can aid managers in prioritizing conservation actions in this region using widely available and remotely sensed data.
DOI: 10.7294/19778806.v1
title: Data to accompany the paper “Highly variable densities and a decline in critically endangered golden-crowned sifaka (Propithecus tattersalli) population abundance from 2008-2018,” International Journal of Primatology, In review, 2022.

description: Animal abundance is determined by a number of factors, including vegetation structure, food availability and quality, human activities, predation risk, and disease. Vegetation structure, food availability, and human activity are often used to guide conservation efforts, such as protected area zoning and reforestation, especially for primates. We sought to determine whether Critically Endangered golden-crowned sifaka (<em>Propithecus tattersalli</em>) densities could be predicted across a heterogeneous landscape as a function of vegetation structure, food availability, and human activity. We conducted walking transect surveys across the sifakas’ entire global range in the Loky-Manambato Protected Area of Madagascar from 2016–2018, expanding upon a study conducted in 2006/2008. Potential predictors of sifaka density included metrics of vegetation structure (e.g., tree density, forest type), food availability (e.g., food tree basal area, normalized difference vegetation index (NDVI)), and human activity (e.g., tree cutting, livestock grazing). Low-intensity tree cutting and wet season NDVI were the best, positive predictors of sifaka densities. Our results suggest that from 2008-2018, populations declined by 30-43%, from at least 18,000 (estimated confidence interval of 11,000 – 26,000) to 10,222-12,631 individuals. Sifaka densities within study units across their restricted range (880 km2) were highly variable (range: 6.8-78.1 sifakas/km2), emphasizing the importance of large-scale and randomized study designs for assessing species abundance, regardless of its area of occupancy. Understanding that wet season NDVI was a positive predictor of sifaka densities can aid managers in prioritizing conservation actions in this region using widely available and remotely sensed data.
DOI: 10.6084/m9.figshare.16373142.v5
title: Raw.data - Influence of maturation on rowers performance

description: Influence of Advancing Biological Maturation on Aerobic and Anaerobic Power and on Sport Performance of Junior Rowers: A Longitudinal Study <br> Article in: https://www.frontiersin.org/articles/10.3389/fphys.2022.892966/full?utm_source=Email_to_authors_&utm_medium=Email&utm_content=T1_11.5e1_author&utm_campaign=Email_publication&journalName=Frontiers_in_Physiology&id=892966
DOI: 10.6084/m9.figshare.16373142
title: Raw.data - Influence of maturation on rowers performance

description: Influence of Advancing Biological Maturation on Aerobic and Anaerobic Power and on Sport Performance of Junior Rowers: A Longitudinal Study <br> Article in: https://www.frontiersin.org/articles/10.3389/fphys.2022.892966/full?utm_source=Email_to_authors_&utm_medium=Email&utm_content=T1_11.5e1_author&utm_campaign=Email_publication&journalName=Frontiers_in_Physiology&id=892966
DOI: 10.6084/m9.figshare.16373142.v4
title: Raw.data - Influence of maturation on rowers performance

description: Influence of maturation on rowers performance
DOI: 10.6084/m9.figshare.19779859
title: Empirical analysis of the role of dispositional optimism on entrepreneurial actions during a pandemic

description: These files generate the results of the article "Dispositional optimism and business recovery during a pandemic (2022) by Amore MD, Garofalo O, Martin-Sanchez V.
DOI: 10.6084/m9.figshare.19779859.v1
title: Empirical analysis of the role of dispositional optimism on entrepreneurial actions during a pandemic

description: These files generate the results of the article "Dispositional optimism and business recovery during a pandemic (2022) by Amore MD, Garofalo O, Martin-Sanchez V.
DOI: 10.24385/qy2z-sq73
title: Court Waiting Times data by Police Force Area in England and Wales (1994-2008)

description: This is a dataset that forms the basis for the paper "Classical Deterrence Theory Revisited" published in the European Journal of Criminology.
DOI: 10.26302/sshade/experiment_yd_20220407_010
title: Multiangular reflectance of Hawaii basaltic sand in 5 visible spectral bands for 6 different grain sizes

description: Multiangular reflectance (23 angular configurations) in 5 visible spectral bands (0.56, 0.70, 0.79, 0.88, 0.96 µm) and for 6 different grain size ranges C1 to C6 (45-75, 75-125, 125-250, 250-500, 500-1000, 1000-2000 µm)
DOI: 10.5281/zenodo.4637175
title: Whole genome shotgun sequences of Magnaporthe oryzae wheat blast isolates from Zambia

description: <strong>We report whole genome shotgun sequences of 13 <em>Magnaporthe oryzae</em> (syn. <em>Pyricularia oryzae</em>) isolates collected in Zambia from 2018 to 2020 during outbreaks of wheat blast. The genome sequences add to the existing genomics resources for the study of the wheat blast fungus. The resource should prove critical in identifying the precise identity and potential origin of the Zambian population and in identifying variants of concern among this population. We provide the dataset as an open science resource as part of the OpenWheatBlast initiative. We welcome analyses and feedback from the community.</strong>
DOI: 10.5281/zenodo.4637174
title: Whole genome shotgun sequences of Magnaporthe oryzae wheat blast isolates from Zambia

description: <strong>We report whole genome shotgun sequences of 13 <em>Magnaporthe oryzae</em> (syn. <em>Pyricularia oryzae</em>) isolates collected in Zambia from 2018 to 2020 during outbreaks of wheat blast. The genome sequences add to the existing genomics resources for the study of the wheat blast fungus. The resource should prove critical in identifying the precise identity and potential origin of the Zambian population and in identifying variants of concern among this population. We provide the dataset as an open science resource as part of the OpenWheatBlast initiative. We welcome analyses and feedback from the community.</strong>
DOI: 10.5281/zenodo.4605958
title: Multiplex amplicon sequencing dataset for genotyping pandemic populations of the wheat blast fungus

description: <strong>We report genotyping data for 186 <em>Magnaporthe oryzae</em> (Syn. <em>Pyricularia oryzae</em>) isolates from different geographical regions obtained using multiplex amplicon sequencing. The dataset consists of 84 single nucleotide polymorphisms (SNPs) selected from transcript sequences to distinguish between the clonal lineage of the wheat blast fungus that emerged in South East Asia in 2016 and other <em>M. oryzae</em>genotypes. The sample coverage includes pandemic wheat blast isolates from Bangladesh (N=75, 2016-2020) and the newly reported Zambian outbreak (N=13, 2018-2020). The dataset is provided as an open science resource as part of the OpenWheatBlast initiative. We welcome analyses and feedback from the community.</strong>
DOI: 10.34740/kaggle/dsv/3651422
title: COVID Vaccination in World (updated daily)
DOI: 10.3886/e159501
title: Code for: Hidden Debt

description: This is code accompanying the article "Hidden Debt"