cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.19721689
title: Supplementary Material for: Putative Condition-Dependent Viability Selection in Wild-Type Stocks of <b><i>Drosophila pseudoobscura</i></b>

description: Meiotic recombination rates vary in response to intrinsic and extrinsic factors. Recently, heat stress has been shown to reveal plasticity in recombination rates in <i>Drosophila pseudoobscura.</i> Here, a combination of molecular genotyping and X-linked recessive phenotypic markers were used to investigate differences in recombination rates due to heat stress. In addition, haplotypes from the genetic crosses were compared to test if they deviated from equal proportions, which would indicate viability selection. To avoid this potential bias, SNP genotyping markers overlapping the regions assayed with mutant markers were used to further investigate recombination rate. Interestingly, skews in haplotype frequency were consistent with the fixation of alleles in the wild-type stocks used that are unfit at high temperature. Evidence of viability selection due to heat stress in the wild-type haplotypes was most apparent on days 7–9 when more mutant non-crossover haplotypes were recovered in comparison to wild type (<i>p</i> &lt; 0.0001). Recombination analysis using SNP markers showed days 9–10 as significantly different due to heat stress in 2 pairs of consecutive SNP markers (<i>p</i> = 0.018; <i>p</i> = 0.015), suggesting that during this time period the recombination rate is most sensitive to heat stress. This peak timing for recombination plasticity is consistent with <i>Drosophila melanogaster</i> based on a comparison of similarly timed key meiotic events, enabling future mechanistic work of temperature stress on recombination rate.
DOI: 10.6084/m9.figshare.19721686.v1
title: Raw Data_BWM_NWS_May22

description: Data file
DOI: 10.6084/m9.figshare.19721686
title: Raw Data_BWM_NWS_May22

description: Data file
DOI: 10.5281/zenodo.6510681
title: WHUL8-CDb part 45-55

description: This is the fifth part (45~55) of WHUL8-CDb dataset.
DOI: 10.5281/zenodo.6510680
title: WHUL8-CDb part 45-55

description: This is the fifth part (45~55) of WHUL8-CDb dataset.
DOI: 10.6084/m9.figshare.19075346.v2
title: A.spinulosa genome.rar

description: The flying spider-monkey tree fern genome provides insights into fern evolution and arborescence.
DOI: 10.5281/zenodo.6523389
title: HybridFC dataset

description: This is the data for the factchecking approach
DOI: 10.5281/zenodo.6519445
title: HybridFC dataset

description: This is the data for the factchecking approach
DOI: 10.5281/zenodo.6510994
title: All Hands on Deck' or Separate Lifeboats? Public support for European Economic Solidarity during the Covid-19 pandemic

description: What are the sources of public support for international aid in times of crises? This paper<br> investigates the determinants of public support for the EU Covid-19 aid package (’NextGenera-<br> tionEU’, NGEU), the largest aid package in EU history. We show that although public support<br> for within-EU redistribution is influenced by long-standing factors such as ideology and citizen<br> identities, endorsement or opposition cues taken from elite actors are important determinants<br> of public support for aid in times of crises. Conversely, the effects of policy details about the<br> aid package are more mixed. Using what is to the best of our knowledge the first EU-wide<br> study on public opinion on the Covid-19 rescue package, our vignette experiment shows that<br> short-term shifts in support for the rescue package are driven mostly by elite endorsement<br> cues rather than information about the precise terms of aid or amount. We also find that the<br> role of elite endorsement cues varies across different subsets of the population depending on<br> their level of political sophistication, national level attachment and country context. Thus, in<br> the face of multidimensional decision-making in times of crises, national institutions are key<br> catalyst of moving short-term support for policies of international solidarity. We discuss how<br> our findings have implications for democratic governance and accountability in the EU.
description: Please cite the following when
DOI: 10.5281/zenodo.6510993
title: All Hands on Deck' or Separate Lifeboats? Public support for European Economic Solidarity during the Covid-19 pandemic

description: What are the sources of public support for international aid in times of crises? This paper<br> investigates the determinants of public support for the EU Covid-19 aid package (’NextGenera-<br> tionEU’, NGEU), the largest aid package in EU history. We show that although public support<br> for within-EU redistribution is influenced by long-standing factors such as ideology and citizen<br> identities, endorsement or opposition cues taken from elite actors are important determinants<br> of public support for aid in times of crises. Conversely, the effects of policy details about the<br> aid package are more mixed. Using what is to the best of our knowledge the first EU-wide<br> study on public opinion on the Covid-19 rescue package, our vignette experiment shows that<br> short-term shifts in support for the rescue package are driven mostly by elite endorsement<br> cues rather than information about the precise terms of aid or amount. We also find that the<br> role of elite endorsement cues varies across different subsets of the population depending on<br> their level of political sophistication, national level attachment and country context. Thus, in<br> the face of multidimensional decision-making in times of crises, national institutions are key<br> catalyst of moving short-term support for policies of international solidarity. We discuss how<br> our findings have implications for democratic governance and accountability in the EU.
description: Please cite the following when
DOI: 10.6084/m9.figshare.19721722
title: Supplementary Material for: Cobimetinib Sensitizes Cervical Cancer to Paclitaxel via Suppressing Paclitaxel-Induced ERK Activation

description: <b><i>Introduction:</i></b> Chemoresistance remains the main cause of treatment failure in cervical cancer and novel therapeutic strategies are required. Cobimetinib, a potent yet selective inhibitor of MEK1 and 2, is currently used to treat melanoma clinically. In this work, we identified cobimetinib as a promising candidate for treating cervical cancer. <b><i>Methods:</i></b> The in vitro and in vivo efficacies of cobimetinib were examined using cervical cancer cell cultures and xenograft mouse model. Its combination with paclitaxel was analyzed using the combination index. Immunoblotting was performed on MAPK and ERK pathways. <b><i>Results:</i></b> Cobimetinib displays a potent anti-cervical cancer activity in a panel of cell lines regardless of cellular origin and HPV presence, and its combination with paclitaxel is synergistic in inhibiting cervical cancer cells. This is achieved by the growth inhibition and caspase-dependent apoptosis induction, through inhibiting MAPK/ERK activation. In addition, paclitaxel activates ERK in cervical cancer cells, and this can be reversed by cobimetinib. We finally confirm the efficacy of cobimetinib alone and its combination with paclitaxel in the cervical cancer xenograft mouse model. <b><i>Discussion/Conclusion:</i></b> Our preclinical findings will accelerate the initialization of clinical trials to use combination of cobimetinib and paclitaxel for treating cervical cancer. Our work also emphasizes the therapeutic value of targeting MAPK/ERK to overcome chemoresistance in cervical cancer.
DOI: 10.6084/m9.figshare.19721722.v1
title: Supplementary Material for: Cobimetinib Sensitizes Cervical Cancer to Paclitaxel via Suppressing Paclitaxel-Induced ERK Activation

description: <b><i>Introduction:</i></b> Chemoresistance remains the main cause of treatment failure in cervical cancer and novel therapeutic strategies are required. Cobimetinib, a potent yet selective inhibitor of MEK1 and 2, is currently used to treat melanoma clinically. In this work, we identified cobimetinib as a promising candidate for treating cervical cancer. <b><i>Methods:</i></b> The in vitro and in vivo efficacies of cobimetinib were examined using cervical cancer cell cultures and xenograft mouse model. Its combination with paclitaxel was analyzed using the combination index. Immunoblotting was performed on MAPK and ERK pathways. <b><i>Results:</i></b> Cobimetinib displays a potent anti-cervical cancer activity in a panel of cell lines regardless of cellular origin and HPV presence, and its combination with paclitaxel is synergistic in inhibiting cervical cancer cells. This is achieved by the growth inhibition and caspase-dependent apoptosis induction, through inhibiting MAPK/ERK activation. In addition, paclitaxel activates ERK in cervical cancer cells, and this can be reversed by cobimetinib. We finally confirm the efficacy of cobimetinib alone and its combination with paclitaxel in the cervical cancer xenograft mouse model. <b><i>Discussion/Conclusion:</i></b> Our preclinical findings will accelerate the initialization of clinical trials to use combination of cobimetinib and paclitaxel for treating cervical cancer. Our work also emphasizes the therapeutic value of targeting MAPK/ERK to overcome chemoresistance in cervical cancer.
DOI: 10.6084/m9.figshare.19721731
title: Supplementary Material for: Mode of Delivery and Incidence of Bronchopulmonary Dysplasia: Results from the Population-Based EPICE Cohort

description: <b><i>Introduction:</i></b> Bronchopulmonary dysplasia (BPD) represents a tremendous disease burden following preterm birth. The strong association between compromised gas exchange after birth and BPD demands particular focus on the perinatal period. The mode of delivery can impact on lung fluid clearance and microbial colonization, but its impact on BPD and potential trade-off effects between death and BPD are not established. <b><i>Methods:</i></b> A total of 7,435 live births (24+0 to 31+6 weeks postmenstrual age) in 19 regions of 11 European countries were included. Principal outcomes were death and BPD at 36 weeks. We estimated unadjusted and adjusted associations with mode of delivery using multilevel logistic regression to account for clustering within units and regions. Sensitivity analyses examined effects, taking into consideration regional variations in C-section rates. <b><i>Results:</i></b> Compared to vaginal delivery, delivery by C-section was not associated with the incidence of BPD (OR 0.92, 95% CI: 0.68–1.25) or the composite outcome of death or BPD (OR 0.94, 95% CI: 0.74–1.19) after adjustment for perinatal and neonatal risk factors in the total cohort and in pregnancies for whom a vaginal delivery could be considered. Sensitivity analyses among singletons, infants in cephalic presentation, and infants of ≥26+0 weeks of gestation did not alter the results for BPD, severe BPD, and death or BPD, even in regions with a high C-section rate. <b><i>Conclusions:</i></b> In our population-based cohort study, the mode of delivery was not associated with the incidence of BPD. The intention to reduce BPD does not justify a C-section in pregnancies where a vaginal delivery can be considered.
DOI: 10.6084/m9.figshare.19075346.v3
title: Genome Survey Sequencing of <i>Alsophila spinulosa</i>

description: The flying spider-monkey tree fern genome provides insights into fern evolution and arborescence.
DOI: 10.6084/m9.figshare.19075346.v4
title: Genome assembly and Annotation of <i>Alsophila spinulosa</i>

description: The flying spider-monkey tree fern genome provides insights into fern evolution and arborescence. <br> https://www.nature.com/articles/s41477-022-01146-6
DOI: 10.25424/cmcc/soil-erosion-over-italy-2km
title: Soil Erosion Indicators for Italy (1991-2020) @2.2 km over Italy
DOI: 10.6084/m9.figshare.19721683.v1
title: delay of gratification fNIRS data.zip

description: 3-year-old children's delay of gratification fNIRS data
DOI: 10.6084/m9.figshare.19721683
title: delay of gratification fNIRS data.zip

description: 3-year-old children's delay of gratification fNIRS data
DOI: 10.25430/researchdata.cab.unipd.it.00000636
title: On the relationship between active network length and catchment discharge

description: Dataset about flowing network length and discharge in the Valfredda catchment, as analyzed in the manuscript "On the relationship between active network length and catchment discharge".
DOI: 10.5281/zenodo.6522921
title: Radar Station Supplementary Material 2/2

description: # Radar Station data file. <br> <br> This repo contains the data necessary for the paper 'Radar Station: Using KG Embeddings for Semantic Table Interpretation and Entity Disambiguation.'<br> <br> The first part of the data is available at https://zenodo.org/record/6522985<br> <br> Its structure of it is as follows:<br> <br> '''<br> ├─readme.md<br> ├─DAGOBAHSL_Scoring<br> │ ├─Limaye_Result<br> │ ├─T2D_Result<br> │ ├─2T_Result<br> │ ├─ShortTable_Result<br> ├─Embeddings<br> │ ├─RotetE<br> │ ├─ComplEx<br> │ ├─TransE<br> │ ├─Dismult<br> ├─Datasets<br> │ ├─Key_Column_Index<br> │ │ ├─Limaye<br> │ │ ├─T2D<br> │ ├─ShortTable<br> ├─Wikidata_Ground_Truth<br> │ ├─Wikidata_GS_Limaye<br> │ ├─Wikidata_GS_T2D<br> │ ├─Wikidata_GS_2T<br> │ ├─Wikidata_GS_ShortTable<br> '''<br> <br> ## DAGOBAHSL_Scoring<br> It contains the result of the candidate scoring step after the four datasets were processed through a previous annotation system.<br> In this score step, we did not filter any candidates during the calculation and always kept their scores. <br> <br> <br> ## Embeddings<br> <br> This folder contains four embeddings used during our experiment.<br> We provide four embeddings for the experiments: TransE, RotatE, Dismult, and ComplEx. <br> In which the RotatE embeddings are from the pre-trained embeddings of GraphVite: https://graphvite.io/docs/latest/pretrained_model.html <br> TransE, Dismult, and ComplEx are trained using Pytorch-BigGraph with Wikidata dump version 2021 May.<br> <br> **NOTICE**: The folder <em>ComplEx </em>and <em>DistMult </em>should be placed in the folder <em>Embeddings </em>for enabling Radar Station<br> <br> <br> ## Datasets<br> ### Key_Column_Index<br> <br> Key_Column_Index folder contains the index of the key column position for T2D and Limaye that are manually annotated.<br> It tells Radar Station in which column we should run.<br> <br> ### ShortTable<br> <br> It contains the ShortTable dataset with tables of only two rows.<br> <br> ## Wikidata_Ground_Truth<br> It contains the ground truth of the four datasets with Wikidata entities.
DOI: 10.5281/zenodo.6522920
title: Radar Station Supplementary Material 2/2

description: # Radar Station data file. <br> <br> This repo contains the data necessary for the paper 'Radar Station: Using KG Embeddings for Semantic Table Interpretation and Entity Disambiguation.'<br> <br> The first part of the data is available at https://zenodo.org/record/6522985<br> <br> Its structure of it is as follows:<br> <br> '''<br> ├─readme.md<br> ├─DAGOBAHSL_Scoring<br> │ ├─Limaye_Result<br> │ ├─T2D_Result<br> │ ├─2T_Result<br> │ ├─ShortTable_Result<br> ├─Embeddings<br> │ ├─RotetE<br> │ ├─ComplEx<br> │ ├─TransE<br> │ ├─Dismult<br> ├─Datasets<br> │ ├─Key_Column_Index<br> │ │ ├─Limaye<br> │ │ ├─T2D<br> │ ├─ShortTable<br> ├─Wikidata_Ground_Truth<br> │ ├─Wikidata_GS_Limaye<br> │ ├─Wikidata_GS_T2D<br> │ ├─Wikidata_GS_2T<br> │ ├─Wikidata_GS_ShortTable<br> '''<br> <br> ## DAGOBAHSL_Scoring<br> It contains the result of the candidate scoring step after the four datasets were processed through a previous annotation system.<br> In this score step, we did not filter any candidates during the calculation and always kept their scores. <br> <br> <br> ## Embeddings<br> <br> This folder contains four embeddings used during our experiment.<br> We provide four embeddings for the experiments: TransE, RotatE, Dismult, and ComplEx. <br> In which the RotatE embeddings are from the pre-trained embeddings of GraphVite: https://graphvite.io/docs/latest/pretrained_model.html <br> TransE, Dismult, and ComplEx are trained using Pytorch-BigGraph with Wikidata dump version 2021 May.<br> <br> **NOTICE**: The folder <em>ComplEx </em>and <em>DistMult </em>should be placed in the folder <em>Embeddings </em>for enabling Radar Station<br> <br> <br> ## Datasets<br> ### Key_Column_Index<br> <br> Key_Column_Index folder contains the index of the key column position for T2D and Limaye that are manually annotated.<br> It tells Radar Station in which column we should run.<br> <br> ### ShortTable<br> <br> It contains the ShortTable dataset with tables of only two rows.<br> <br> ## Wikidata_Ground_Truth<br> It contains the ground truth of the four datasets with Wikidata entities.
DOI: 10.6084/m9.figshare.19721806
title: behavioral data.xlsx

description: 3-year-old children's delay of gratification behavioral data
DOI: 10.6084/m9.figshare.19721803
title: ses.xlsx

description: 3-year-old children's ses information
DOI: 10.6084/m9.figshare.19721803.v1
title: ses.xlsx

description: 3-year-old children's ses information
DOI: 10.6084/m9.figshare.19721743
title: data.xlsx

description: SPSS 28.0 software was used for statistical analysis. The quantitative data were expressed as the mean ± SD, and the t test was used for comparison. The qualitative data were expressed as cases and percentages and compared using chi-square tests. A rank sum test was used for rank data, whereby P &lt; .05 was considered to indicate a statis? tically significant difference.
DOI: 10.5281/zenodo.6523438
title: Pre-trained embeddings HybridFC

description: Contains pre-trained embeddings of entities and relations
DOI: 10.5281/zenodo.6523437
title: Pre-trained embeddings HybridFC

description: Contains pre-trained embeddings of entities and relations
DOI: 10.48370/ofd/hpcj7s/lrucjt
title: IBL_coll_12416_SorexAraneus_1950_scan.jpg

description: :unav
DOI: 10.48370/ofd/hpcj7s/01ohjf
title: IBL_coll_12416_SorexAraneus_1950_ct.swf

description: :unav
DOI: 10.48370/ofd/hpcj7s
title: Sorex araneus - IBL_12416, Zoological collection of the Mammal Research Institute, PAS

description: Sorex araneus (Common shrew) from Zoological collection of the Mammal Research Institute PAS. Collected 1950-08-02, in: Białowieża National Park, Poland. Material type: head
DOI: 10.48370/ofd/kozykc/exgeon
title: IBL_coll_12495_SorexAraneus_1950_scan.jpg

description: :unav
DOI: 10.48370/ofd/kozykc/fszf4h
title: IBL_coll_12495_SorexAraneus_1950_ct.swf

description: :unav
DOI: 10.48370/ofd/kozykc
title: Sorex araneus - IBL_12495, Zoological collection of the Mammal Research Institute, PAS

description: Sorex araneus (Common shrew) from Zoological collection of the Mammal Research Institute PAS. Collected 1950-08-07, in: Białowieża National Park, Poland. Material type: head
DOI: 10.48370/ofd/wtlp37/psnjwc
title: IBL_coll_13000_SorexAraneus_1951_scan.jpg

description: :unav
DOI: 10.48370/ofd/wtlp37/brij2v
title: IBL_coll_13000_SorexAraneus_1951_ct.swf

description: :unav
DOI: 10.48370/ofd/wtlp37/zgw4ut
title: IBL_coll_13000_SorexAraneus_1951_ct.swf

description: ct
DOI: 10.48370/ofd/wtlp37
title: Sorex araneus - IBL_13000, Zoological collection of the Mammal Research Institute, PAS

description: Sorex araneus (Common shrew) from Zoological collection of the Mammal Research Institute PAS. Collected 1951-07-12, in: Białowieża National Park, Poland. Material type: head
DOI: 10.5281/zenodo.5590225
title: U.S. Maternal Vulnerability Index (MVI)

description: Surgo Ventures' Maternal Vulnerability Index (MVI) ranks the U.S. states and counties on indicators measuring drivers of poor maternal health outcomes. Maternal vulnerability is assessed based on 43 drivers grouped into six themes: (1) Reproductive Healthcare, (2) Physical Health, (3) Mental Health and Substance Abuse, (4) General Healthcare, (5) Socioeconomic Determinants, and (6) Physical Environment. The MVI captures factors that put birthing people at increased risk of adverse outcomes during pregnancy that may lead to morbidities and/or death. Data gaps on both maternal outcomes and their determinants constrain crafting evidence-based policies and interventions to address the maternal health crisis in the US. A growing body of evidence has found that the environment in which mothers live, work, deliver and raise their children can increase their risk of adverse health outcomes during and beyond pregnancy. Although data on these environmental and structural factors exist, the US MVI is the first nation-wide index to measure how contextual factors systematically expose populations of mothers to environments of lower or higher risk. State and local decision makers can use the tool to better understand where and why mothers are at increased risk for poor outcomes, to develop tailored, localized interventions and/or policies. Researchers can use the MVI, either alone or linked with other datasets, to provide a richer and more nuanced understanding of the drivers of poor maternal health outcomes in the US. Data files: mvi_data_dictionary.csv: Names and definitions of the variables in the data files. mvi_county.csv: US MVI and six thematic scores for 3141 counties in the continental US and District of Columbia. mvi_state.csv: US MVI and six thematic scores for 50 states and District of Columbia. mvi_architecture_and_data_sources.csv: Index architecture and data sources by indicator used to construct the Maternal Vulnerability Index.
description: Maternal Vulnerability Index scores are available upon reasonable request. Please contact mvi@surgoventures.org with inquiries.
DOI: 10.5281/zenodo.5590224
title: U.S. Maternal Vulnerability Index (MVI)

description: Surgo Ventures' Maternal Vulnerability Index (MVI) ranks the U.S. states and counties on indicators measuring drivers of poor maternal health outcomes. Maternal vulnerability is assessed based on 43 drivers grouped into six themes: (1) Reproductive Healthcare, (2) Physical Health, (3) Mental Health and Substance Abuse, (4) General Healthcare, (5) Socioeconomic Determinants, and (6) Physical Environment. The MVI captures factors that put birthing people at increased risk of adverse outcomes during pregnancy that may lead to morbidities and/or death. Data gaps on both maternal outcomes and their determinants constrain crafting evidence-based policies and interventions to address the maternal health crisis in the US. A growing body of evidence has found that the environment in which mothers live, work, deliver and raise their children can increase their risk of adverse health outcomes during and beyond pregnancy. Although data on these environmental and structural factors exist, the US MVI is the first nation-wide index to measure how contextual factors systematically expose populations of mothers to environments of lower or higher risk. State and local decision makers can use the tool to better understand where and why mothers are at increased risk for poor outcomes, to develop tailored, localized interventions and/or policies. Researchers can use the MVI, either alone or linked with other datasets, to provide a richer and more nuanced understanding of the drivers of poor maternal health outcomes in the US. Data files: mvi_data_dictionary.csv: Names and definitions of the variables in the data files. mvi_county.csv: US MVI and six thematic scores for 3141 counties in the continental US and District of Columbia. mvi_state.csv: US MVI and six thematic scores for 50 states and District of Columbia. mvi_architecture_and_data_sources.csv: Index architecture and data sources by indicator used to construct the Maternal Vulnerability Index.
description: Maternal Vulnerability Index scores are available upon reasonable request. Please contact mvi@surgoventures.org with inquiries.
DOI: 10.48370/ofd/0uctgr/pnxiqu
title: IBL_coll_12387_SorexAraneus_1950_scan.jpg

description: :unav
DOI: 10.48370/ofd/0uctgr/ucivfx
title: IBL_coll_12387_SorexAraneus_1950_ct.swf

description: :unav