cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7178713
title: Landslide Susceptibility and 3-day Antecedent Rainfall generated by Artificial Neural Networks

description: [ENGLISH] In this dataset, you can find: - Landslide susceptibility indexes for the Serra Geral geomorphic unit, from 0 (low susceptibility) to 1 (high susceptibility). Files starting in map_susc - 3-day Antecedent Rainfall Thresholds for rainfall-induced landslides in the Serra Geral geomorphic unit. Files starting in map_3day The figure tiles_location.png shows the locations of each tile within the states of Rio Grande do Sul and Santa Catarina, Brazil. Background map: OpenStreetMap contributors (2022) This dataset was produced within the research conducted for the PhD Thesis of Luísa Vieira Lucchese. The link to the Thesis will be added here when it is available. Reference: LUCCHESE, Luísa Vieira. Modelagem de Suscetibilidade e de Limiares de Precipitação para Deslizamentos de Terra utilizando métodos de Aprendizagem de Máquina. 2022. PhD Thesis (Water Resources and Environmental Sanitation) — Instituto de Pesquisas Hidráulicas, Universidade Federal do Rio Grande do Sul, Porto Alegre, 2022. [PORTUGUÊS DO BRASIL] Neste conjunto de dados, você encontra: - Índices de suscetibilidade a deslizamentos de terra para a unidade geomorfológica da Serra Geral, de 0 (baixa suscetibilidade) até 1 (alta suscetibilidade). Os arquivos têm o prefixo map_susc - Precipitação antecedente de 3 dias para a ocorrência de deslizamentos de terra na unidade geomorfológica da Serra Geral. Os arquivos têm o prefixo map_3day A figura tiles_location.png mostra a localização de cada bloco dentro dos estados do Rio Grande do Sul e de Santa Catarina. Mapa de fundo: OpenStreetMap contributors (2022) Este conjunto de dados é produto da Tese de Doutorado de Luísa Vieira Lucchese. O link para a Tese será adicionado aqui, quando estiver disponível. Referência: LUCCHESE, Luísa Vieira. Modelagem de Suscetibilidade e de Limiares de Precipitação para Deslizamentos de Terra utilizando métodos de Aprendizagem de Máquina. 2022. Tese (Doutorado em Recursos Hídricos e Saneamento Ambiental) — Instituto de Pesquisas Hidráulicas, Universidade Federal do Rio Grande Sul, Porto Alegre, 2022.
description: This research was supported by Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq). This study was financed in part by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior – Brasil (CAPES) – Finance Code 001.
DOI: 10.21954/ou.rd.15173355
title: Locked In: The (In)Visibility of Migrant Domestic Workers during Covid-19

description: Dr Amy Charlesworth is a Lecturer in Art History at The Open University. Here, she talks to Marissa Begonia, founder and director of the charity, Voice of Domestic Workers (VoDW). Every year the organisation rescues up to 90 workers who are escaping abusive employers. During the pandemic, in 2020, the number went down to just 6. Amy picks up on research she carried out previously with VoDW and with the help of Marissa they track the changes and the difference the pandemic has made to domestic workers and to the vital “social reproductive labour” they carry out often out – mostly invisible to society. <br> ----- This material is part of the Covid Chronicles from the Margins project, funded by The Open University and The Hague. The project aims to highlight the impact of the pandemic on refugees, asylum seekers & undocumented migrants. <br> This item can be found on our website, here: https://cov19chronicles.com/locked-in-the-invisibility-of-migrant-domestic-workers-during-covid-19/ <br> <br>
DOI: 10.21954/ou.rd.15173355.v1
title: Locked In: The (In)Visibility of Migrant Domestic Workers during Covid-19

description: Dr Amy Charlesworth is a Lecturer in Art History at The Open University. Here, she talks to Marissa Begonia, founder and director of the charity, Voice of Domestic Workers (VoDW). Every year the organisation rescues up to 90 workers who are escaping abusive employers. During the pandemic, in 2020, the number went down to just 6. Amy picks up on research she carried out previously with VoDW and with the help of Marissa they track the changes and the difference the pandemic has made to domestic workers and to the vital “social reproductive labour” they carry out often out – mostly invisible to society. <br> ----- This material is part of the Covid Chronicles from the Margins project, funded by The Open University and The Hague. The project aims to highlight the impact of the pandemic on refugees, asylum seekers & undocumented migrants. <br> This item can be found on our website, here: https://cov19chronicles.com/locked-in-the-invisibility-of-migrant-domestic-workers-during-covid-19/ <br> <br>
DOI: 10.6073/pasta/5eb49006749681aaa3bb33e4afb7f072
title: Neighborhood Socioeconomic and demographic changes in Baltimore's (BES) Neighborhoods: 1930 to 2010

description: This dataset was created primarily to map and track socioeconomic and demographic variables from the US Census Bureau from year 1940 to year 2010, by decade, within the City of Baltimore's Mayor's Office of Information Technology (MOIT) year 2010 neighborhood boundaries. The socioeconomic and demographic variables include the percent White, percent African American, percent owner occupied homes, percent vacant homes, the percentage of age 25 and older people with a high school education or greater, and the percentage of age 25 and older people with a college education or greater. Percent White and percent African American are also provided for year 1930. Each of the the year 2010 neighborhood boundaries were also attributed with the 1937 Home Owners' Loan Corporation (HOLC) definition of neighborhoods via spatial overlay. HOLC rated neighborhoods as A, B, C, D or Undefined. HOLC categorized the perceived safety and risk of mortgage refinance lending in metropolitan areas using a hierarchical grading scale of A, B, C, and D. A and B areas were considered the safest areas for federal investment due to their newer housing as well as higher earning and racially homogenous households. In contrast, C and D graded areas were viewed to be in a state of inevitable decline, depreciation, and decay, and thus risky for federal investment, due to their older housing stock and racial and ethnic composition. This policy was inherently a racist practice. Places were graded based on who lived there; poor areas with people of color were labeled as lower and less-than. HOLC's 1937 neighborhoods do not cover the entire extent of the year 2010 neighborhood boundaries. The neighborhood boundaries were also augmented to include which of the year 2017 Housing Market Typology (HMT) the 2010 neighborhoods fall within. Finally, the neighborhood boundaries were also augmented to include tree canopy and tree canopy change year 2007 to year 2015.
DOI: 10.5519/qd.jb87cxep
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (6422 records)
DOI: 10.22021/bbldntz202209
title: The Linked Open British National Bibliography – Books. 1950/2022-09 – N-Triples
DOI: 10.22021/bbldrdfz202209
title: The Linked Open British National Bibliography – Books. 1950/2022-09 – RDF/XML
DOI: 10.22021/bsldntz202209
title: The Linked Open British National Bibliography – Serials. 1950/2022-09 – N-Triples
DOI: 10.22021/bsldrdfz202209
title: The Linked Open British National Bibliography – Serials. 1950/2022-09 – RDF/XML
DOI: 10.5281/zenodo.7186203
title: Prediction of designer-recombinases for DNA editing with generative deep learning

description: Sequence data from "Prediction of designer-recombinases for DNA editing with generative deep learning" publication.<br> Tyrosine site-specific recombinase gene sequences with the corresponding target sequences from already published projects. Recombinases were produced with directed evolution and sequenced with PacBio HiFi. The evolution of the recombinases sequences in this dataset were published in the following publications: https://doi.org/10.1126/science.1141453 https://doi.org/10.1038/nbt.3467 https://doi.org/10.1093/nar/gkz1078 https://doi.org/10.1038/s41467-022-28080-7
DOI: 10.5281/zenodo.7186202
title: Prediction of designer-recombinases for DNA editing with generative deep learning

description: Sequence data from "Prediction of designer-recombinases for DNA editing with generative deep learning" publication.<br> Tyrosine site-specific recombinase gene sequences with the corresponding target sequences from already published projects. Recombinases were produced with directed evolution and sequenced with PacBio HiFi. The evolution of the recombinases sequences in this dataset were published in the following publications: https://doi.org/10.1126/science.1141453 https://doi.org/10.1038/nbt.3467 https://doi.org/10.1093/nar/gkz1078 https://doi.org/10.1038/s41467-022-28080-7
DOI: 10.22021/bcldntz202209
title: The Linked Open British National Bibliography – Forthcoming Books. 2022-09 – N-Triples
DOI: 10.22021/bcldrdfz202209
title: The Linked Open British National Bibliography – Forthcoming Books. 2022-09 – RDF/XML
DOI: 10.5281/zenodo.7185834
title: raw data

description: raw data
DOI: 10.5281/zenodo.7185833
title: raw data

description: raw data
DOI: 10.5281/zenodo.7186054
title: Dataset from: Selecting deep neural networks that yield consistent attribution-based interpretations for genomics

description: Deep neural networks (DNNs) have demonstrated great promise at taking DNA sequences as input and predicting a wide variety of functional activity. Post hoc attribution analysis has been employed to provide insights into the features learned by DNNs, often revealing patterns such as known motifs. However, attribution maps are noisy in practice to an extent that varies from model to model, even across DNNs that yield similar generalization performance. This makes it challenging to identify which high-performing DNN will provide trustworthy explanations. Here we propose a summary statistic that characterizes the consistency of learned features across a population of attribution maps which can be utilized as an additional criterion for model selection. We demonstrate the efficacy of this approach quantitatively using synthetic data and qualitatively with chromatin accessibility data. Together, this work advances our ability to select optimal DNNs that not only yield high generalization performance but also reliable attribution maps that will, in turn, accelerate scientific discovery in genomics.
DOI: 10.5281/zenodo.7186053
title: Dataset from: Selecting deep neural networks that yield consistent attribution-based interpretations for genomics

description: Deep neural networks (DNNs) have demonstrated great promise at taking DNA sequences as input and predicting a wide variety of functional activity. Post hoc attribution analysis has been employed to provide insights into the features learned by DNNs, often revealing patterns such as known motifs. However, attribution maps are noisy in practice to an extent that varies from model to model, even across DNNs that yield similar generalization performance. This makes it challenging to identify which high-performing DNN will provide trustworthy explanations. Here we propose a summary statistic that characterizes the consistency of learned features across a population of attribution maps which can be utilized as an additional criterion for model selection. We demonstrate the efficacy of this approach quantitatively using synthetic data and qualitatively with chromatin accessibility data. Together, this work advances our ability to select optimal DNNs that not only yield high generalization performance but also reliable attribution maps that will, in turn, accelerate scientific discovery in genomics.
DOI: 10.5281/zenodo.6548205
title: OGG1 in AP

description: The file contains data supporting our findings reported in the manuscript titled "OGG1 inhibition reduces acinar cell injury in a mouse model of acute pancreatitis" accepted for publication in "Biomedicines"..
DOI: 10.5281/zenodo.6548204
title: OGG1 in AP

description: The file contains data supporting our findings reported in the manuscript titled "OGG1 inhibition reduces acinar cell injury in a mouse model of acute pancreatitis" accepted for publication in "Biomedicines"..
DOI: 10.5523/bris.b134ksdn9hs026jn5kcjg60y9
title: A rapid high throughput bioprinted colorectal cancer spheroid platform for in vitro drug- and radiation-response

description: Data for A rapid high throughput bioprinted colorectal cancer spheroid platform for in vitro drug- and radiation-response
DOI: 10.5066/f72b8w2c
title: Synoptic carbon gas fluxes from streams, rivers, and lakes in the conterminous US, USGS Landcarbon, 2012 to 2014

description: In support of the USGS LandCarbon project, field observations of stream and lake carbon gas fluxes and other water-quality data were collected from surface waters in the conterminous US. The sampling was designed to cover a variety of geographic, climatic, and environmental settings to better understand the ranges and distributions of carbon gas fluxes from surface waters. Field observations of carbon gas concentration and flux were paired with laboratory measurements of stream chemical characteristics. Locations were derived from field GPS values or from listed coordinates of USGS streamgages located at the sampling site. Discharge data was either measured in the field at the time of sample collection or downloaded from streamgage data (waterdata.usgs.gov/nwis). Laboratory values were analyzed in the USGS office located in Boulder, CO. The missing values occur in the database for several field observations. Missing values occurred when the site was not appropriate for that parameter (i.e. stream discharge in a lake or reservoir) or due to equipment malfunction.
DOI: 10.5281/zenodo.7186216
title: 3D reconstruction of an NIH/3T3 mouse fibroblast cell imaged by the SXT-100.

description: This dataset (*.mrc file) is a reconstructed 3D volume obtained by soft X-ray tomography on NIH/3T3 cells. The cells were grown on a 200 mesh 3.05 mm EM finder grid with a Quantifoil Holey Carbon support. The sample was vitrified by plunge-freezing in liquid ethane. The tomogram was collected with a pixel size of 28.85 nm over the tilt range from -53 to 53.5 degrees with 1.5 deg step size and 116 s exposure per tilt.
DOI: 10.5283/epub.53022
title: Das frühbairische Gräberfeld Strasskirchen (Lkr. Straubing-Bogen) - Grabbefunde und Funde der Ausgrabung 1988-1993 - Online Supplement
DOI: 10.5287/bodleian:xq89qnvke
title: ACORN (A Clinically Oriented antimicrobial Resistance Network) supplementary material
DOI: 10.5255/ukda-sn-855918
title: Decarbonising and Diversifying Defence: A Workers’ Enquiry for a Just Transition, 2021–2022

description: The main strand of the project was a ‘workers' enquiry’ - a method that encourages workers to think about and articulate their situation in the productive process. Fifty-eight interviews were carried out with self-selected (i.e. they responded to announcements or other communications about the research) current and former defence sector workers in the US and the UK. The transcripts of those interviews make up this archive, only including those that agreed to have their anonymised transcripts made public in this way. There are 35 in total - 16 from the UK and and 19 from the US. The study indicates the range of opinion and attention to nuance and complexity among an occupationally and geographically diverse group of defence sector workers in the US and UK. Although it is a small study and generalisations cannot be made from the self-selecting sample, their statements provide helpful insights and highlight numerous issues that could be investigated further by researchers, companies, governments, and unions.
DOI: 10.5281/zenodo.7182828
title: Phenotyping Polarization Dynamics Of Immune Cells Using A Lipid Droplet - Cell Pairing Microfluidic Platform

description: Raw data from the article : <strong>Phenotyping Polarization Dynamics Of Immune Cells Using A Lipid Droplet - Cell Pairing Microfluidic Platform</strong> Léa Pinon, Nicolas Ruyssen, Judith Pineau, Olivier Mesdjian, Damien Cuvelier, Rachele Allena, Sophie Asnacios, Atef Asnacios, PaoloPierobon, Jacques Fattaccioli
DOI: 10.5281/zenodo.7182827
title: Phenotyping Polarization Dynamics Of Immune Cells Using A Lipid Droplet - Cell Pairing Microfluidic Platform

description: Raw data from the article : <strong>Phenotyping Polarization Dynamics Of Immune Cells Using A Lipid Droplet - Cell Pairing Microfluidic Platform</strong> Léa Pinon, Nicolas Ruyssen, Judith Pineau, Olivier Mesdjian, Damien Cuvelier, Rachele Allena, Sophie Asnacios, Atef Asnacios, PaoloPierobon, Jacques Fattaccioli
DOI: 10.5517/ccdc.csd.cc2961bx
title: CCDC 2120968: Experimental Crystal Structure Determination

description: Related Article: Claudia M. Ramírez-Lozano, Ma. Eugenia Ochoa, Pablo Labra-Vázquez, Norberto Farfán, Rosa Santillan|2022|J.Mol.Struct.|1272|134191|doi:10.1016/j.molstruc.2022.134191
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2961cy
title: CCDC 2120969: Experimental Crystal Structure Determination

description: Related Article: Claudia M. Ramírez-Lozano, Ma. Eugenia Ochoa, Pablo Labra-Vázquez, Norberto Farfán, Rosa Santillan|2022|J.Mol.Struct.|1272|134191|doi:10.1016/j.molstruc.2022.134191
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5281/zenodo.7186273
title: Data used in a submitted paper

description: The data of this study will be stored in the Zenodo repository after the article is accepted for publication. The data of this study will be stored in the Zenodo repository after the article is accepted for publication.
DOI: 10.5281/zenodo.7186272
title: Data used in a submitted paper

description: The data of this study will be stored in the Zenodo repository after the article is accepted for publication. The data of this study will be stored in the Zenodo repository after the article is accepted for publication.
DOI: 10.25934/pr00008544
title: MRC CDA GK

description: My MRC CDA fellowship aims to determine the drivers and consequences of variation in AMR prevalence in infection by patient age. I am looking for individual patient databases that have patient age included in order to explore trends within bug-drug combinations and then how they vary over age by country, time and syndrome. The aim would be to inform burden estimation and to inform empiric prescribing practices.
DOI: 10.6073/pasta/da10eb189bb4e49e231ce7519dee03b2
title: Spatial and Temporal Patterns in Atmospheric Deposition of Dissolved Organic Carbon

description: Atmospheric deposition of dissolved organic carbon (DOC) to terrestrial ecosystems is a small, but rarely studied component of the global carbon (C) cycle. Emissions of volatile organic compounds (VOC) and organic particulates are the sources of atmospheric C and deposition represents a major pathway for the removal of organic C from the atmosphere. Here, we evaluate the spatial and temporal patterns of DOC deposition using 70 datasets at least one year in length ranging from 40° south to 66° north latitude. Globally, the median DOC concentration in bulk deposition was 1.7 mg L-1. The DOC concentrations were significantly higher in tropical (&lt; 25°) latitudes compared to temperate (&gt; 25°) latitudes. DOC deposition was significantly higher in the tropics because of both higher DOC concentrations and precipitation. Using the global median or latitudinal specific DOC concentrations leads to a calculated global deposition of 202 or 295 Tg C yr-1 respectively. Many sites exhibited seasonal variability in DOC concentration. At temperate sites, DOC concentrations were higher during the growing season; at tropical sites, DOC concentrations were higher during the dry season. Thirteen of the thirty-four long-term (&gt; 10 years) datasets showed significant declines in DOC concentration over time with the others showing no significant change. Based on the magnitude and timing of the various sources of organic C to the atmosphere, biogenic VOCs likely explain the latitudinal pattern and the seasonal pattern at temperate latitudes while decreases in anthropogenic emissions are the most likely explanation for the declines in DOC concentration.
DOI: 10.5281/zenodo.7186403
title: Repository data for Characterisation of deposited dust particles on Mars InSight lander ICC lens

description: This public data repository contains the images, analyses, results and data outputs for generating the figures of the manuscript titled characterisation of deposited dust particles on Mars InSight lander ICC lens.
DOI: 10.5281/zenodo.7186402
title: Repository data for Characterisation of deposited dust particles on Mars InSight lander ICC lens

description: This public data repository contains the images, analyses, results and data outputs for generating the figures of the manuscript titled characterisation of deposited dust particles on Mars InSight lander ICC lens.
DOI: 10.57778/2dq9-0242
title: Direct estimates of reef fish abundance across an artificial reef network
DOI: 10.6084/m9.figshare.20013392.v1
title: Both age and social environment shape the phenotype of ant workers

description: The aim of this study was to disentangle the effect of caste and age on ant physiology by analysing their metabolome and proteome. For this purpose, we designed an experiment with four groups : young foragers (Y.F), old foragers (O.F), young nest-workers (Y.NW) and old nest-workers (O.NW). <br> We provide raw proteomics and metabolomics data, data after curation (as used for the statistical analyses); part of the statistical analysis and relevant references for the biologocial processes involved. <br> This dataset is associated with a research article :
DOI: 10.6084/m9.figshare.20604824
title: Practical Network Modeling via Tapered Exponential-Family Random Graph Models

description: Exponential-family Random Graph Models (ERGMs) have long been at the forefront of the analysis of relational data. The exponential-family form allows complex network dependencies to be represented. Models in this class are interpretable, flexible and have a strong theoretical foundation. The availability of powerful user-friendly open-source software allows broad accessibility and use. However, ERGMs sometimes suffer from a serious condition known as near-degeneracy, in which the model exhibits unrealistic probabilistic behavior or a severe lack-of-fit to real network data. Recently, Fellows and Handcock proposed a new model class, the Tapered ERGM, which circumvents the issue of near-degeneracy while maintaining the desirable features of ERGMs. However, the question of how to determine the proper amount of tapering needed for any model was heretofore left unanswered. This article develops a new methodology for how to determine the necessary level of tapering and as such provides a new approach to inference for the Tapered ERGM class. Noting that a Tapered ERGM can always be made nondegenerate, we offer data-driven approaches for determining the amount of tapering necessary. The mean-value parameter estimates are unaffected by tapering, and we show that the natural parameter estimates are numerically weakly varying by the level of tapering. We then apply the Tapered ERGM to two published networks to demonstrate its effectiveness in cases where typical ERGMs fail and present the case for Tapered ERGMs replacing ERGMs entirely.