cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.14832948
title: Raw data for black carbon and organic carbon in sediments from six hadal trenches

description: Although anthropogenic activities and wildfires have led to ubiquitous distribution of black carbon (BC) in environments, it has never been reported for sediments in the hadal zone, the deepest oceans with water depths &gt; 6000 m. Here, we measured the concentration, δ13C and Δ14C signatures of BC and total organic carbon (TOC) in sediments from six geographically widely distributed trenches. Extrapolation from target trenches to the global hadal zone yields BC burial rate of 1.0±0.5 Tg yr-1 that is greater than previous estimate for the deep sea by 70%. We thus propose that the hadal zone is an important but previously unrecognized BC sink in the ocean.
DOI: 10.6084/m9.figshare.14833104
title: Supplementary Tables and Figures (for the paper 'Uncovering clinical risk factors and prediction of severe COVID-19: A machine learning approach based on UK Biobank data')

description: Supplementary Tables and Figures (for the paper 'Uncovering clinical risk factors and prediction of severe COVID-19: A machine learning approach based on UK Biobank data')
DOI: 10.6084/m9.figshare.14833104.v1
title: Supplementary Tables and Figures (for the paper 'Uncovering clinical risk factors and prediction of severe COVID-19: A machine learning approach based on UK Biobank data')

description: Supplementary Tables and Figures (for the paper 'Uncovering clinical risk factors and prediction of severe COVID-19: A machine learning approach based on UK Biobank data')
DOI: 10.6084/m9.figshare.14833110
title: Annex supplement

description: Phylogenetic analysis confirmed the phylogenetic relationship between <i>C. integerrima </i>var.<i> chinensis</i> and other representative species of Verbenaceae.
DOI: 10.6084/m9.figshare.14833110.v1
title: Annex supplement

description: Phylogenetic analysis confirmed the phylogenetic relationship between <i>C. integerrima </i>var.<i> chinensis</i> and other representative species of Verbenaceae.
DOI: 10.3886/e114646v1-90040
title: Replication data for: Are Local Tax Rates Strategic Complements or Strategic Substitutes?

description: The identification of strategic interactions among local governments is typically plagued by endogeneity problems. I exploit the fact that local jurisdictions located close to a state border have some neighbors in another state and instrument the tax rate of neighbor jurisdictions with the state-level tax rate of the neighboring state. I use this instrument to identify strategic personal income tax setting by local jurisdictions in Switzerland and find that tax rates are strategic substitutes. I then develop a residence-based personal income tax competition model and show that tax rates are strategic substitutes if the elasticity of the marginal utility of the public good with respect to the tax rate is above one. This is notably the case in the presence of economies of scale in the public good provision.
DOI: 10.5281/zenodo.5022015
title: Data for paper "OC_Finder: A deep learning-based software for osteoclast segmentation, classification, and counting"

description: <pre>This folder contains the source data for the images we used to train the neural network. Tiff files are microscopic images, and each tiff file has two xls or csv files to indicate the location of osteoclasts or non-osteoclasts in each Tiff file. We performed data collection 3 times, and the data from each data collection is stored separately in 3 folders, "Dataset_1", "Dataset_2", "Dataset_3". The "Dataset_1" folder contains a total of 170 tiff images. They are from the cell culture of wild-type cells stimulated with 50 ng/ml RANKL with/without 100 ng/ml TNF-alpha or 10 ng/ml IL-1beta. The location of cells is recorded in xls files. "IMAGE_NAME osteoclasts.xls" is for the coordination of osteoclasts, and "IMAGE_NAME non-osteoclasts.xls" is for the coordination of non-osteoclasts. The x-coordinate is recorded in the "x" column, and the y-coordinate is in the "y" column, with x=0 and y=0 being the coordinates of the upper left corner of the image. Please ignore the columns other than x and y. The "Dataset_2" folder contains a total of 288 images. They are from the cell culture of wild-type cells or cells with gain-of-function mutation of SH3BP2 (KI) stimulated with 25 or 50 ng/ml of RANKL. The image names are composed of the information about the culture conditions, such as gender of cell sources (female and male), the genotype of the cell source (wt: wild-type, KI: Knock-In mutation in Sh3bp2 resulting in the increased osteoclastogenesis), the concentration of RANKL in the culture media (R25: 25 ng/ml of RANKL, R50: 50 ng/ml of RANKL), and the culture period with RANKL stimulation (day 3: cultured with RANKL for 3 days.), excepting the images with the name starting "Image_". The images with the name Image_NUMBER.tif are from the following culture condition; female KI R25. The location of cells is recorded in xls files. "IMAGE_NAME posi.xls" is for the coordination of osteoclasts, and "IMAGE_NAME nega.xls" is for the coordination of non-osteoclasts. The x-coordinate is recorded in the "x" column, and the y-coordinate is in the "y" column, with x=0 and y=0 being the coordinates of the upper left corner of the image. Please ignore the columns other than x and y. The "additional data" folder contains a total of 288 images, which are identical to the images in the "second batch" folder. Using the same images, we collected additional coordination to increase samples. The location of cells is recorded in csv files. "IMAGE_NAME new posi.xls" is for the coordination of osteoclasts, and "IMAGE_NAME new nega.xls" is for the coordination of non-osteoclasts. The x-coordinate is recorded in the "x" column, and the y-coordinate is in the "y" column, with x=0 and y=0 being the coordinates of the upper left corner of the image. Please ignore the columns other than x and y. Please contact Mizuho Kittaka &lt;mkittaka@iu.edu&gt; for the inquery about the dataset.</pre>
DOI: 10.5281/zenodo.4768756
title: Data for paper "OC_Finder: A deep learning-based software for osteoclast segmentation, classification, and counting"

description: <pre>This folder contains the source data for the images we used to train the neural network. Tiff files are microscopic images, and each tiff file has two xls or csv files to indicate the location of osteoclasts or non-osteoclasts in each Tiff file. We performed data collection 3 times, and the data from each data collection is stored separately in 3 folders, "Dataset_1", "Dataset_2", "Dataset_3". The "Dataset_1" folder contains a total of 170 tiff images. They are from the cell culture of wild-type cells stimulated with 50 ng/ml RANKL with/without 100 ng/ml TNF-alpha or 10 ng/ml IL-1beta. The location of cells is recorded in xls files. "IMAGE_NAME osteoclasts.xls" is for the coordination of osteoclasts, and "IMAGE_NAME non-osteoclasts.xls" is for the coordination of non-osteoclasts. The x-coordinate is recorded in the "x" column, and the y-coordinate is in the "y" column, with x=0 and y=0 being the coordinates of the upper left corner of the image. Please ignore the columns other than x and y. The "Dataset_2" folder contains a total of 288 images. They are from the cell culture of wild-type cells or cells with gain-of-function mutation of SH3BP2 (KI) stimulated with 25 or 50 ng/ml of RANKL. The image names are composed of the information about the culture conditions, such as gender of cell sources (female and male), the genotype of the cell source (wt: wild-type, KI: Knock-In mutation in Sh3bp2 resulting in the increased osteoclastogenesis), the concentration of RANKL in the culture media (R25: 25 ng/ml of RANKL, R50: 50 ng/ml of RANKL), and the culture period with RANKL stimulation (day 3: cultured with RANKL for 3 days.), excepting the images with the name starting "Image_". The images with the name Image_NUMBER.tif are from the following culture condition; female KI R25. The location of cells is recorded in xls files. "IMAGE_NAME posi.xls" is for the coordination of osteoclasts, and "IMAGE_NAME nega.xls" is for the coordination of non-osteoclasts. The x-coordinate is recorded in the "x" column, and the y-coordinate is in the "y" column, with x=0 and y=0 being the coordinates of the upper left corner of the image. Please ignore the columns other than x and y. The "additional data" folder contains a total of 288 images, which are identical to the images in the "second batch" folder. Using the same images, we collected additional coordination to increase samples. The location of cells is recorded in csv files. "IMAGE_NAME new posi.xls" is for the coordination of osteoclasts, and "IMAGE_NAME new nega.xls" is for the coordination of non-osteoclasts. The x-coordinate is recorded in the "x" column, and the y-coordinate is in the "y" column, with x=0 and y=0 being the coordinates of the upper left corner of the image. Please ignore the columns other than x and y. Please contact Mizuho Kittaka &lt;mkittaka@iu.edu&gt; for the inquery about the dataset.</pre>
DOI: 10.6084/m9.figshare.14833488.v1
title: Towards a caring transdisciplinary research practice: navigating science, society and self

description: Transdisciplinary research that bridges science and society is needed to address the complex social-ecological sustainability challenges we are facing. However, many transdisciplinary researchers grapple with balancing the competing demands of scientific rigour and excellence, societal impact and engagement, and self-care. This is especially evident in the growing literature by early-career researchers describing the challenges of pursuing a transdisciplinary research career in social-ecological sustainability research. To guide discussion and reflection towards a flourishing transdisciplinary research practice, we synthesized our own and other researchers’ experiences of using a transdisciplinary approach and formulated the heuristic of the ‘Triple-S’: caring for Science, Society and Self. This heuristic adds the frequently overlooked personal aspects of transdisciplinary research. Current dominant academic structures, cultures and metrics of success are not supporting a balanced and flourishing transdisciplinary research practice, but rather creating and exacerbating the trade-offs between these three aspects. As an example of a solutions-oriented approach, we developed a theory of change to address the changes we see are necessary to enable a transdisciplinary research practice in line with the Triple-S. We hope that this will foster academic environments where transdisciplinary research practice can flourish and the next generation of researchers are not burnt-out, but empowered.
DOI: 10.6084/m9.figshare.14833188.v1
title: Additional file 1 of Gliosarcoma vs. glioblastoma: a retrospective case series using molecular profiling

description: Additional file 1 This is a spreadsheet in the Excel file format. It contains the following worksheets: • title-page. The title of the manuscript and the author list. • data1. The data-set used for analysis. • key1. The key to data1 above. This file can be opened with any common spreadsheet software e.g. LibreOffice, Excel.
DOI: 10.6084/m9.figshare.14833176.v1
title: Additional file 3 of Detection of cell-free microbial DNA using a contaminant-controlled analysis framework

description: Additional file 3: Table S7. Decontamination criteria outcome for ASVs that passed the in silico decontamination strategy applied to plasma samples of the extension cohort.
DOI: 10.6084/m9.figshare.14833170.v1
title: Additional file 2 of Detection of cell-free microbial DNA using a contaminant-controlled analysis framework

description: Additional file 2: Table S3. Decontamination criteria outcome for ASVs that passed the in silico decontamination strategy applied to the plasma samples of the initial cohort.
DOI: 10.6084/m9.figshare.14833161.v1
title: Additional file 1 of Behavioural responses to Covid-19 health certification: a rapid review

description: Additional file 1.
DOI: 10.6084/m9.figshare.14833119.v1
title: Additional file 4 of Is mRNA decapping by ApaH like phosphatases present in eukaryotes beyond the Kinetoplastida?

description: Additional file 4: Table S2. a) Documentation of the last step of software improvement: the ‘missing motif screen’ on the complete set of proteomes. b) extended control matrix. c) list of ALPH proteins with truncated N- or C-termini.
DOI: 10.6084/m9.figshare.14833116.v1
title: Additional file 3 of Is mRNA decapping by ApaH like phosphatases present in eukaryotes beyond the Kinetoplastida?

description: Additional file 3: Table S1. List of all organisms that were screened for the presence of ALPH and detailed information on all ALPH proteins that were identified in this study.
DOI: 10.6084/m9.figshare.14833488
title: Towards a caring transdisciplinary research practice: navigating science, society and self

description: Transdisciplinary research that bridges science and society is needed to address the complex social-ecological sustainability challenges we are facing. However, many transdisciplinary researchers grapple with balancing the competing demands of scientific rigour and excellence, societal impact and engagement, and self-care. This is especially evident in the growing literature by early-career researchers describing the challenges of pursuing a transdisciplinary research career in social-ecological sustainability research. To guide discussion and reflection towards a flourishing transdisciplinary research practice, we synthesized our own and other researchers’ experiences of using a transdisciplinary approach and formulated the heuristic of the ‘Triple-S’: caring for Science, Society and Self. This heuristic adds the frequently overlooked personal aspects of transdisciplinary research. Current dominant academic structures, cultures and metrics of success are not supporting a balanced and flourishing transdisciplinary research practice, but rather creating and exacerbating the trade-offs between these three aspects. As an example of a solutions-oriented approach, we developed a theory of change to address the changes we see are necessary to enable a transdisciplinary research practice in line with the Triple-S. We hope that this will foster academic environments where transdisciplinary research practice can flourish and the next generation of researchers are not burnt-out, but empowered.
DOI: 10.6084/m9.figshare.14833188
title: Additional file 1 of Gliosarcoma vs. glioblastoma: a retrospective case series using molecular profiling

description: Additional file 1 This is a spreadsheet in the Excel file format. It contains the following worksheets: • title-page. The title of the manuscript and the author list. • data1. The data-set used for analysis. • key1. The key to data1 above. This file can be opened with any common spreadsheet software e.g. LibreOffice, Excel.
DOI: 10.6084/m9.figshare.14833176
title: Additional file 3 of Detection of cell-free microbial DNA using a contaminant-controlled analysis framework

description: Additional file 3: Table S7. Decontamination criteria outcome for ASVs that passed the in silico decontamination strategy applied to plasma samples of the extension cohort.
DOI: 10.6084/m9.figshare.14833170
title: Additional file 2 of Detection of cell-free microbial DNA using a contaminant-controlled analysis framework

description: Additional file 2: Table S3. Decontamination criteria outcome for ASVs that passed the in silico decontamination strategy applied to the plasma samples of the initial cohort.
DOI: 10.6084/m9.figshare.14833161
title: Additional file 1 of Behavioural responses to Covid-19 health certification: a rapid review

description: Additional file 1.
DOI: 10.6084/m9.figshare.14833122
title: Additional file 5 of Is mRNA decapping by ApaH like phosphatases present in eukaryotes beyond the Kinetoplastida?

description: Additional file 5: Table S3. The 285 available reference proteomes for Archaea were downloaded from UniProt on 7th of January 2020. They were screened with the Python programme for the presence of ALPH. Only one proteome contained one ALPH.
DOI: 10.6084/m9.figshare.14833119
title: Additional file 4 of Is mRNA decapping by ApaH like phosphatases present in eukaryotes beyond the Kinetoplastida?

description: Additional file 4: Table S2. a) Documentation of the last step of software improvement: the ‘missing motif screen’ on the complete set of proteomes. b) extended control matrix. c) list of ALPH proteins with truncated N- or C-termini.
DOI: 10.6084/m9.figshare.14833116
title: Additional file 3 of Is mRNA decapping by ApaH like phosphatases present in eukaryotes beyond the Kinetoplastida?

description: Additional file 3: Table S1. List of all organisms that were screened for the presence of ALPH and detailed information on all ALPH proteins that were identified in this study.
DOI: 10.6084/m9.figshare.14833113
title: Additional file 2 of Is mRNA decapping by ApaH like phosphatases present in eukaryotes beyond the Kinetoplastida?

description: Additional file 2: Python Software.
DOI: 10.5281/zenodo.5022590
title: Time Series Comparisons, Model Code, and a Demo Dataset for SIBaR: A New Method for Background Quantification and Removal from Mobile Air Pollution Measurements

description: Time series comparisons between SIBaR, Brantley, and Apte background signals for all 312 time series in the Houston mobile monitoring campaign. Additionally, a R script demo (DemoData.R) of the SIBaR partitioning step on the demo datatset (DemoData.csv).
DOI: 10.5281/zenodo.5022589
title: Time Series Comparisons, Model Code, and a Demo Dataset for SIBaR: A New Method for Background Quantification and Removal from Mobile Air Pollution Measurements

description: Time series comparisons between SIBaR, Brantley, and Apte background signals for all 312 time series in the Houston mobile monitoring campaign. Additionally, a R script demo (DemoData.R) of the SIBaR partitioning step on the demo datatset (DemoData.csv).
DOI: 10.6084/m9.figshare.14833925.v1
title: ESM file 5 from What does ‘toughness’ look like? An examination of the breakdown of young and mature leaves under cyclical loading

description: Raw fragmentation data for species 4
DOI: 10.6084/m9.figshare.14833922.v1
title: ESM file 10 from What does ‘toughness’ look like? An examination of the breakdown of young and mature leaves under cyclical loading

description: Raw data from the MTS controller for species 3
DOI: 10.6084/m9.figshare.14833919.v1
title: ESM file 1 from What does ‘toughness’ look like? An examination of the breakdown of young and mature leaves under cyclical loading

description: R-script for all analysis and figures, annotated and with outline
DOI: 10.6084/m9.figshare.14833916.v1
title: ESM file 9 from What does ‘toughness’ look like? An examination of the breakdown of young and mature leaves under cyclical loading

description: Raw data from the MTS controller for species 2
DOI: 10.6084/m9.figshare.14833913.v1
title: ESM file 12 from What does ‘toughness’ look like? An examination of the breakdown of young and mature leaves under cyclical loading

description: Raw data from the MTS controller for species 5
DOI: 10.6084/m9.figshare.14833910.v1
title: ESM file 3 from What does ‘toughness’ look like? An examination of the breakdown of young and mature leaves under cyclical loading

description: Raw fragmentation data for species 2
DOI: 10.6084/m9.figshare.14833907.v1
title: ESM file 7 from What does ‘toughness’ look like? An examination of the breakdown of young and mature leaves under cyclical loading

description: Raw fragmentation data for species 6
DOI: 10.6084/m9.figshare.14833904.v1
title: ESM file 4 from What does ‘toughness’ look like? An examination of the breakdown of young and mature leaves under cyclical loading

description: Raw fragmentation data for species 3
DOI: 10.6084/m9.figshare.14833901.v1
title: ESM file 13 from What does ‘toughness’ look like? An examination of the breakdown of young and mature leaves under cyclical loading

description: Raw data from the MTS controller for species 6
DOI: 10.6084/m9.figshare.14833898.v1
title: ESM file 8 from What does ‘toughness’ look like? An examination of the breakdown of young and mature leaves under cyclical loading

description: Raw data from the MTS controller for species 1
DOI: 10.6084/m9.figshare.14833895.v1
title: ESM file 2 from What does ‘toughness’ look like? An examination of the breakdown of young and mature leaves under cyclical loading

description: Raw fragmentation data for species 1
DOI: 10.6084/m9.figshare.14833892.v1
title: ESM file 11 from What does ‘toughness’ look like? An examination of the breakdown of young and mature leaves under cyclical loading

description: Raw data from the MTS controller for species 4
DOI: 10.6084/m9.figshare.14833889.v1
title: ESM file 6 from What does ‘toughness’ look like? An examination of the breakdown of young and mature leaves under cyclical loading

description: Raw fragmentation data for species 5
DOI: 10.6084/m9.figshare.14833993
title: Study data from Temporal niche partitioning as a novel mechanism promoting co-existence of sympatric predators in marine systems

description: Hourly mean values of overall dynamic body acceleration alongside other data used to assess diel activity patterns of the six coastal shark species investigated in this study.
DOI: 10.6084/m9.figshare.14833925
title: ESM file 5 from What does ‘toughness’ look like? An examination of the breakdown of young and mature leaves under cyclical loading

description: Raw fragmentation data for species 4
DOI: 10.6084/m9.figshare.14833922
title: ESM file 10 from What does ‘toughness’ look like? An examination of the breakdown of young and mature leaves under cyclical loading

description: Raw data from the MTS controller for species 3
DOI: 10.6084/m9.figshare.14833919
title: ESM file 1 from What does ‘toughness’ look like? An examination of the breakdown of young and mature leaves under cyclical loading

description: R-script for all analysis and figures, annotated and with outline
DOI: 10.6084/m9.figshare.14833916
title: ESM file 9 from What does ‘toughness’ look like? An examination of the breakdown of young and mature leaves under cyclical loading

description: Raw data from the MTS controller for species 2
DOI: 10.6084/m9.figshare.14833913
title: ESM file 12 from What does ‘toughness’ look like? An examination of the breakdown of young and mature leaves under cyclical loading

description: Raw data from the MTS controller for species 5
DOI: 10.6084/m9.figshare.14833910
title: ESM file 3 from What does ‘toughness’ look like? An examination of the breakdown of young and mature leaves under cyclical loading

description: Raw fragmentation data for species 2
DOI: 10.6084/m9.figshare.14833907
title: ESM file 7 from What does ‘toughness’ look like? An examination of the breakdown of young and mature leaves under cyclical loading

description: Raw fragmentation data for species 6
DOI: 10.6084/m9.figshare.14833904
title: ESM file 4 from What does ‘toughness’ look like? An examination of the breakdown of young and mature leaves under cyclical loading

description: Raw fragmentation data for species 3
DOI: 10.6084/m9.figshare.14833901
title: ESM file 13 from What does ‘toughness’ look like? An examination of the breakdown of young and mature leaves under cyclical loading

description: Raw data from the MTS controller for species 6
DOI: 10.6084/m9.figshare.14833898
title: ESM file 8 from What does ‘toughness’ look like? An examination of the breakdown of young and mature leaves under cyclical loading

description: Raw data from the MTS controller for species 1
DOI: 10.6084/m9.figshare.14833895
title: ESM file 2 from What does ‘toughness’ look like? An examination of the breakdown of young and mature leaves under cyclical loading

description: Raw fragmentation data for species 1
DOI: 10.6084/m9.figshare.14833892
title: ESM file 11 from What does ‘toughness’ look like? An examination of the breakdown of young and mature leaves under cyclical loading

description: Raw data from the MTS controller for species 4