cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15472/b8iq7u
title: Lista de Decápodos de Agua Dulce de Colombia

description: Se presentan las 147 especies y cuatro subespecies de decápodos de agua dulce de Colombia aceptadas actualmente y actualizadas al 2023, junto con 155 sinónimos entre especies, subespecies y variedades de cada uno de estos nombres científicos, lo que actualiza y complementa la información del libro "Crustáceos decápodos de agua dulce de Colombia" (Campos & Lasso, 2014). Se reportan 39 especies de camarones y 108 especies de cangrejos de agua dulce, de las cuales 90 son endémicas para Colombia, siendo más del 80% especies endémicas de cangrejos.
description: De acuerdo a la Unión Internacional para la Conservación de la Naturaleza UICN (2023), 12 de estas especies se encuentran en categoría Vulnerable (VU), la especie 'Neostrengeria perijaensis' se encuentra en categoría de Casi Amanzada (NT) y 'Strengeriana antioquensis' en Peligro Crítico (CR). 40 especies presentan Datos Deficientes (DD), y en otros casos la categoría global discrepa de lo reportado previamente por Campos & Lasso (2014), lo que demuestra la necesidad de realizar más muestreos y contar con más datos para determinar la distribución y el estado de las poblaciones en Colombia.
description: Las investigaciones en esta área permiten concluir que Colombia ocupa el primer lugar en diversidad de cangrejos de agua dulce a nivel del Neotrópico. El presente recurso lista 306 taxones de decápodos pertenecientes a seis familias y 49 géneros.
DOI: 10.6084/m9.figshare.25199399
title: Ranking Inferences Based on the Top Choice of Multiway Comparisons

description: Motivated by many applications such as online recommendations and individual choices, this paper considers ranking inference of <i>n</i> items based on the observed data on the top choice among <i>M</i> randomly selected items at each trial. This is a useful modification of the Plackett-Luce model for <i>M</i>-way ranking with only the top choice observed and is an extension of the celebrated Bradley-Terry-Luce model that corresponds to <i>M</i> = 2. Under a uniform sampling scheme in which any <i>M</i> distinguished items are selected for comparisons with probability <i>p</i> and the selected <i>M</i> items are compared <i>L</i> times with multinomial outcomes, we establish the statistical rates of convergence for underlying <i>n</i> preference scores using both l2-norm and l∞-norm, under the minimum sampling complexity (smallest order of <i>p</i>). In addition, we establish the asymptotic normality of the maximum likelihood estimator that allows us to construct confidence intervals for the underlying scores. Furthermore, we propose a novel inference framework for ranking items through a sophisticated maximum pairwise difference statistic whose distribution is estimated via a valid Gaussian multiplier bootstrap. The estimated distribution is then used to construct simultaneous confidence intervals for the differences in the preference scores and the ranks of individual items. They also enable us to address various inference questions on the ranks of these items. Extensive simulation studies lend further support to our theoretical results. A real data application illustrates the usefulness of the proposed methods.
DOI: 10.6084/m9.figshare.25199399.v1
title: Ranking Inferences Based on the Top Choice of Multiway Comparisons

description: Motivated by many applications such as online recommendations and individual choices, this paper considers ranking inference of <i>n</i> items based on the observed data on the top choice among <i>M</i> randomly selected items at each trial. This is a useful modification of the Plackett-Luce model for <i>M</i>-way ranking with only the top choice observed and is an extension of the celebrated Bradley-Terry-Luce model that corresponds to <i>M</i> = 2. Under a uniform sampling scheme in which any <i>M</i> distinguished items are selected for comparisons with probability <i>p</i> and the selected <i>M</i> items are compared <i>L</i> times with multinomial outcomes, we establish the statistical rates of convergence for underlying <i>n</i> preference scores using both l2-norm and l∞-norm, under the minimum sampling complexity (smallest order of <i>p</i>). In addition, we establish the asymptotic normality of the maximum likelihood estimator that allows us to construct confidence intervals for the underlying scores. Furthermore, we propose a novel inference framework for ranking items through a sophisticated maximum pairwise difference statistic whose distribution is estimated via a valid Gaussian multiplier bootstrap. The estimated distribution is then used to construct simultaneous confidence intervals for the differences in the preference scores and the ranks of individual items. They also enable us to address various inference questions on the ranks of these items. Extensive simulation studies lend further support to our theoretical results. A real data application illustrates the usefulness of the proposed methods.
DOI: 10.6084/m9.figshare.25199393.v1
title: Adult-onset asthma morbidity and related economic costs in middle age due to intentional chronic absenteeism in high school: an epidemiologic study using the National Longitudinal Survey of Youth 1979 data

description: These are SAS datasets that can used to replicate the results in our study "Adult-onset asthma morbidity and related economic costs in middle age due to intentional chronic absenteeism in high school: an epidemiologic study using the National Longitudinal Survey of Youth 1979 data".Data file "ca15_fullsample.sas7bdat" is used to estimate the full sample when chronic absenteeism is set at 15 days. Data file "ca15_subsample.sas7bdat" is used to estimate the sub sample when chronic absenteeism is set at 15 days.Data file "ca18_fullsample.sas7bdat" is used to estimate the full sample when chronic absenteeism is set at 18 days. Data file "ca18_subsample.sas7bdat" is used to estimate the sub sample when chronic absenteeism is set at 18 days.<br>
DOI: 10.6084/m9.figshare.25199393
title: Adult-onset asthma morbidity and related economic costs in middle age due to intentional chronic absenteeism in high school: an epidemiologic study using the National Longitudinal Survey of Youth 1979 data

description: These are SAS datasets that can used to replicate the results in our study "Adult-onset asthma morbidity and related economic costs in middle age due to intentional chronic absenteeism in high school: an epidemiologic study using the National Longitudinal Survey of Youth 1979 data".Data file "ca15_fullsample.sas7bdat" is used to estimate the full sample when chronic absenteeism is set at 15 days. Data file "ca15_subsample.sas7bdat" is used to estimate the sub sample when chronic absenteeism is set at 15 days.Data file "ca18_fullsample.sas7bdat" is used to estimate the full sample when chronic absenteeism is set at 18 days. Data file "ca18_subsample.sas7bdat" is used to estimate the sub sample when chronic absenteeism is set at 18 days.<br>
DOI: 10.5281/zenodo.10641762
title: Team1_Datatrace
DOI: 10.5281/zenodo.10641763
title: Team1_Datatrace
DOI: 10.34740/kaggle/dsv/7597715
title: Forex Exchange Rates Since 2004 (Updated Daily)
DOI: 10.5519/qd.1guf24mb
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (786 records)
DOI: 10.6084/m9.figshare.25153358.v1
title: Excel pfiles

description: Describe los archivos
DOI: 10.34740/kaggle/dsv/7597728
title: Top Spotify Songs in 73 Countries (Daily Updated)
DOI: 10.34740/kaggle/dsv/7597750
title: Full TMDB Movies Dataset 2024 (985K Movies)
DOI: 10.5281/zenodo.8395859
title: Data Processing Pipeline and Products from the NANOGrav 12.5-Year Data Set: Dispersion Measure Mis-Estimation with Varying Bandwidths

description: This Zenodo dataset contains the data processing pipeline, as well as the data products, corresponding to the scientific journal paper "NANOGrav 12.5-Year Data Set: Dispersion Measure Mis-Estimation with Varying Bandwidths". The processing pipeline is structured as follows:



1_fit_dispersion_3terms.py  reads the .tim files (containing the times-of-arrival), creates the broadband and narrowband datasets, and fits a dispersion model to both datasets using three parameters.

2_plot_fits_differences.py creates the residual plots showing the differences in the fitted values of the parameters.

3_autocovariance.py calculates the autocovariance function of the differences in the fitted values, and creates the corresponding plots.

All the files starting with "plot" are convenience scripts for creating the plots presented in the paper.

All the files starting with "sophia" are utility functions created by the authors that are used in the main pipeline.

The folder "NANOGrav_12yv4" contains the dataset analyzed in this work.

The folder "NG_timing_analysis" contains utility functions created by the NANOGrav collaboration that are used in the main pipeline.


Please do not hesitate to send all your questions, concerns, or commentaries to sophia.sosa@nanograv.org
DOI: 10.5281/zenodo.8395860
title: Data Processing Pipeline and Products from the NANOGrav 12.5-Year Data Set: Dispersion Measure Mis-Estimation with Varying Bandwidths

description: This Zenodo dataset contains the data processing pipeline, as well as the data products, corresponding to the scientific journal paper "NANOGrav 12.5-Year Data Set: Dispersion Measure Mis-Estimation with Varying Bandwidths". The processing pipeline is structured as follows:



1_fit_dispersion_3terms.py  reads the .tim files (containing the times-of-arrival), creates the broadband and narrowband datasets, and fits a dispersion model to both datasets using three parameters.

2_plot_fits_differences.py creates the residual plots showing the differences in the fitted values of the parameters.

3_autocovariance.py calculates the autocovariance function of the differences in the fitted values, and creates the corresponding plots.

All the files starting with "plot" are convenience scripts for creating the plots presented in the paper.

All the files starting with "sophia" are utility functions created by the authors that are used in the main pipeline.

The folder "NANOGrav_12yv4" contains the dataset analyzed in this work.

The folder "NG_timing_analysis" contains utility functions created by the NANOGrav collaboration that are used in the main pipeline.


Please do not hesitate to send all your questions, concerns, or commentaries to sophia.sosa@nanograv.org
DOI: 10.18119/n92p6k
title: Copy of SARS-CoV ER STRESS
DOI: 10.15468/9exfkf
title: Checklist of mammals of the Slobozhanskyi National Nature Park

description: List of species of mammals that are found in the territory of the Slobozhanskyi National Nature Park
DOI: 10.15468/brhtyf
title: List of reptile species found in the territory of the Slobozhanskyi National Nature Park

description: List of reptile species found in the territory of the Slobozhanskyi National Nature Park
DOI: 10.15468/7m9j6n
title: List of amphibian species found in the territory of the Slobozhanskyi National Nature Park

description: List of amphibian species found in the territory of the Slobozhanskyi National Nature Park
DOI: 10.15468/nqcutw
title: Checklist of amphibians of the Dvorichanskyi National Nature Park

description: List of amphibian species found in the territory of the Dvorichanskyi National Nature Park.
DOI: 10.34740/kaggle/dsv/7597788
title: Trending Youtube Video Statistics (113 Countries)
DOI: 10.5281/zenodo.10642045
title: Cell-cell interactome of the hematopoietic niche and its changes in acute myeloid leukemia

description: This repository contains data described in this study: Cell-cell interactome of the hematopoietic niche and its changes in acute myeloid leukemia. Ennis S et. al., iScience, 2023. DOI: 10.1016/j.isci.2023.106943.

 

Contents:



bone_marrow.h5ad  - AnnData file with the integrated dataset

ref_model_final.tar.gz - A zipped folder containing the scVI model for the integrated dataset

Supplemental_material.tar.gz - A zipped folder containing the supplemental figures and tables from the publication
DOI: 10.5281/zenodo.5931688
title: Cell-cell interactome of the hematopoietic niche and its changes in acute myeloid leukemia

description: This repository contains data described in this study: Cell-cell interactome of the hematopoietic niche and its changes in acute myeloid leukemia. Ennis S et. al., iScience, 2023. DOI: 10.1016/j.isci.2023.106943.

 

Contents:



bone_marrow.h5ad  - AnnData file with the integrated dataset

ref_model_final.tar.gz - A zipped folder containing the scVI model for the integrated dataset

Supplemental_material.tar.gz - A zipped folder containing the supplemental figures and tables from the publication
DOI: 10.5281/zenodo.5931689
title: Cell-cell interactome of the hematopoietic niche and its changes in acute myeloid leukemia

description: This repository contains data described in this study: Cell-cell interactome of the hematopoietic niche and its changes in acute myeloid leukemia. <em>Ennis S et. al., iScience, 2023. DOI: </em>10.1016/j.isci.2023.106943<em>.</em> <strong>Contents:</strong> bone_marrow.h5ad - AnnData file with the integrated dataset ref_model_final.tar.gz - A zipped folder containing the scVI model for the integrated dataset
DOI: 10.25934/pr00009797
title: Advanced blood glucose prediction modelling

description: This initiative aims to create sophisticated algorithms for predicting blood glucose levels, ultimately contributing to safer and more effective insulin therapy.
DOI: 10.7924/r49311n5m
title: Data and scripts from: Characterizing mobility patterns and malaria risk factors in semi-nomadic populations of Northern Kenya

description: While many studies have characterized mobility patterns and disease dynamics of settled populations, few have focused on more mobile populations. Highly mobile groups are often at higher disease risk due to their regular movement that may increase the variability of their environments, reduce their access to health care, and limit the number of intervention strategies suitable for their lifestyles. Quantifying the movements and their associated disease risks will be key to developing interventions more suitable for mobile populations. Turkana, Kenya is an ideal setting to characterize these relationships. While the vast, semi-arid county has a large mobile population (>60%) and was recently shown to have endemic malaria, the relationship between mobility and malaria risk in this region has not yet been defined. Here, we worked with 250 semi-nomadic households from four communities in Central Turkana to 1) characterize mobility patterns of travelers and 2) test the hypothesis that semi-nomadic individuals are at greater risk of malaria exposure when migrating with their herds than when staying at their semi-permanent settlements. Participants provided medical and travel histories, demographics, and a dried blood spot for malaria testing before and after the travel period. Further, a subset of travelers was given GPS loggers to document their routes. Four travel patterns emerged from the logger data, Long Term, Transient, Day trip, and Static, with only Long Term and Transient trips being associated with malaria cases detected in individuals who carried GPS devices. After completing their trips, travelers had a higher prevalence of malaria than those who remained at the household (9.2% vs 4.4%), regardless of gender and age. These findings highlight the need to develop intervention strategies amenable to mobile lifestyles that can ultimately help prevent the transmission of malaria.
DOI: 10.25345/c5jq0t58r
title: MassIVE MSV000094053 - Substrate recognition principles for PP2A-B55
title: The trimeric PP2A-B55 phosphoprotein phosphatase regulates a plethora of fundamental signaling pathways throughout eukaryotes. How PP2A-B55 selects its substrates presents a severe knowledge gap in our understanding of phospho-dependent signaling. By integrating AlphaFold modelling with comprehensive experimental high-resolution mutational scanning, we show that alpha-helices in interactors bind a conserved platform on the B55 regulatory subunit. Despite limited sequence similarity, these alpha-helices share key amino acid determinants that engage hydrophobic and electrostatic patches on B55 in a remarkably similar way. We characterize a total of 15 instances in yeast, humans, and viruses, suggesting an evolutionarily conserved mechanism. Using this insight and deep learning protein design, we generate a specific and highly potent competitive peptide inhibitor that binds to B55 with low nanomolar affinity. With this inhibitor, we uncover that PP2A-B55 regulates the nuclear exosome targeting (NEXT) complex by binding to an alpha-helical recruitment module in one of its core components, RBM7. Collectively, our findings provide a framework for the understanding and interrogation of PP2A-B55 in health and disease.
DOI: 10.6084/m9.figshare.25199496
title: Table S1: Raw data and exact values of statistical tests. Excel file with all underlying data for all experiments of this study. The data of each subfigure are displayed in a separate sheet. Data within each subfigure are organized according to experimental condition (genotype, and where applicable, testing condition). The exact results of all statistical tests are displayed below the data of the respective subfigure.

description: Learning where to find nutrients while at the same time avoiding toxic food is essential for survival of any animal. Using <i>Drosophila melanogaster</i> larvae as a study case, we investigate the role of gustatory sensory neurons expressing IR76b for associative learning of amino acids, the building blocks of proteins. We found surprising complexity in the neuronal underpinnings of sensing amino acids, and a functional division of sensory neurons. We found that the IR76b receptor is dispensable for amino acid learning, whereas the neurons expressing IR76b are specifically required for the rewarding but not the punishing effect of amino acids. This unexpected dissociation in neuronal processing of amino acids for different behavioural functions provides a study case for functional divisions of labour in gustatory systems.
DOI: 10.6084/m9.figshare.25199496.v1
title: Table S1: Raw data and exact values of statistical tests. Excel file with all underlying data for all experiments of this study. The data of each subfigure are displayed in a separate sheet. Data within each subfigure are organized according to experimental condition (genotype, and where applicable, testing condition). The exact results of all statistical tests are displayed below the data of the respective subfigure.

description: Learning where to find nutrients while at the same time avoiding toxic food is essential for survival of any animal. Using <i>Drosophila melanogaster</i> larvae as a study case, we investigate the role of gustatory sensory neurons expressing IR76b for associative learning of amino acids, the building blocks of proteins. We found surprising complexity in the neuronal underpinnings of sensing amino acids, and a functional division of sensory neurons. We found that the IR76b receptor is dispensable for amino acid learning, whereas the neurons expressing IR76b are specifically required for the rewarding but not the punishing effect of amino acids. This unexpected dissociation in neuronal processing of amino acids for different behavioural functions provides a study case for functional divisions of labour in gustatory systems.
DOI: 10.18739/a2tq5rg23
title: Drivers of legacy soil organic matter decomposition after fire in boreal forests in Northwest Territories, Canada, 2014

description: Boreal forests harbor as much carbon (C) as the atmosphere and significant amounts of organic nitrogen (N), the nutrient most likely to limit plant productivity in high-latitude ecosystems. In the boreal biome, the primary disturbance is wildfire, which consumes plant biomass and soil material, emits greenhouse gasses, and influences long-term C and N cycling. Climate warming and drying is increasing wildfire severity and frequency and is combusting more soil organic matter (SOM). Combustion of surface SOM exposes deeper older layers of accumulated soil material that previously escaped combustion during past fires, here termed legacy SOM. Postfire SOM decomposition and nutrient availability are determined by these layers, but the drivers of legacy SOM decomposition are unknown. We collected soils from plots after the largest fire year on record in the Northwest Territories, Canada, in 2014. We used radiocarbon dating to measure Δ14C (soil age index), soil extractions to quantify N pools and microbial biomass, and a 90-day laboratory incubation to measure the potential rate of element mineralization and understand patterns and drivers of legacy SOM C decomposition and N availability. We discovered that bulk soil C age predicted C decomposition, where cumulatively, older soil (approximately −450.0‰) produced 230% less C during the incubation than younger soil (~0.0‰). Soil age also predicted C turnover times, with old soil turnover 10 times slower than young soil. We found respired C was younger than bulk soil C, indicating most C enters and leaves relatively quickly, while the older portion remains a stable C sink. Soil age and other indices were unrelated to N availability, but microbial biomass influenced N availability, with more microbial biomass immobilizing soil N pools. Our results stress the importance of legacy SOM as a stable C sink and highlight that soil age drives the pace and magnitude of soil C contributions to the atmosphere between wildfires. Publication that originally utilized these data: https://doi.org/10.1002/ecs2.4672.
DOI: 10.6084/m9.figshare.25199231
title: Data and scripts for the laboratory experiment evaluating germination, seeding survival, and seedling growth rate after freezing

description: Data and scripts for the laboratory experiment evaluating germination, seeding survival, and seedling growth rate after freezing
DOI: 10.6084/m9.figshare.25199231.v1
title: Data and scripts for the laboratory experiment evaluating germination, seeding survival, and seedling growth rate after freezing

description: Data and scripts for the laboratory experiment evaluating germination, seeding survival, and seedling growth rate after freezing
DOI: 10.6084/m9.figshare.25183469
title: Data and scripts for the field experiment evaluating freezing potential and recruitment under early snowmelt

description: Data and scripts for the field experiment evaluating freezing potential and recruitment under early snowmeltScript for the field experiment analysesSnowmelt and freezing degree data from the five gardens.germination and survival data from the field experiment
DOI: 10.6084/m9.figshare.25183469.v1
title: Data and scripts for the field experiment evaluating freezing potential and recruitment under early snowmelt

description: Data and scripts for the field experiment evaluating freezing potential and recruitment under early snowmeltScript for the field experiment analysesSnowmelt and freezing degree data from the five gardens.germination and survival data from the field experiment
DOI: 10.34740/kaggle/ds/4416508
title: Codegen HumanEval Database
DOI: 10.5281/zenodo.10642061
title: isoTWAS models for adult brain cortex (02/2024)

description: This folder contains isoTWAS and TWAS models for adult brain cortex using data from Gandal et al 2018, Science and Vialle et al 2022, Nature Neuroscience (June 2023). The folder contains two subfolders with .RDS files for isoTWAS and TWAS models and a third subfolder that contains .RDS files for in-sample LD matrices corresponding to each model. Models were trained using R package isotwas (github.com/bhattacharya-a-bt/isotwas).