cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.24525314
title: Supplemental Tables and Datasets from Convergence of gut microbiota in myrmecophagous amphibians

description: The gut microbiome composition of terrestrial vertebrates is known to converge in response to common specialized dietary strategies, like leaf-eating (folivory) or ant- and termite-eating (myrmecophagy). To date, such convergence has been studied in mammals and birds, but has been neglected in amphibians. Here, we analysed 15 anuran species (frogs and toads) representing five Neotropical families and demonstrated the compositional convergence of the gut microbiomes of distantly related myrmecophagous species. Specifically, we found that the gut microbial communities of bufonids and microhylids, which have independently evolved myrmecophagy, were significantly more similar than expected based on their hosts' evolutionary divergence. Conversely, we found that gut microbiome composition was significantly associated with host evolutionary history in some cases. For instance, the microbiome composition of <i>Xenohyla truncata</i>—one of the few known amphibians that eat fruits—was not different from those of closely related tree frogs with an arthropod generalist diet. Bacterial taxa overrepresented in myrmecophagous species relative to other host families include <i>Paludibacter</i>, <i>Treponema</i>, and Rikenellaceae, suggesting diet-mediated selection and prey-to-predator transmission likely driving the observed compositional convergence. This study provides a basis for examining the roles of the gut microbiome in host tolerance and sequestration of toxic alkaloids from ants and termites.
DOI: 10.6084/m9.figshare.24525314.v1
title: Supplemental Tables and Datasets from Convergence of gut microbiota in myrmecophagous amphibians

description: The gut microbiome composition of terrestrial vertebrates is known to converge in response to common specialized dietary strategies, like leaf-eating (folivory) or ant- and termite-eating (myrmecophagy). To date, such convergence has been studied in mammals and birds, but has been neglected in amphibians. Here, we analysed 15 anuran species (frogs and toads) representing five Neotropical families and demonstrated the compositional convergence of the gut microbiomes of distantly related myrmecophagous species. Specifically, we found that the gut microbial communities of bufonids and microhylids, which have independently evolved myrmecophagy, were significantly more similar than expected based on their hosts' evolutionary divergence. Conversely, we found that gut microbiome composition was significantly associated with host evolutionary history in some cases. For instance, the microbiome composition of <i>Xenohyla truncata</i>—one of the few known amphibians that eat fruits—was not different from those of closely related tree frogs with an arthropod generalist diet. Bacterial taxa overrepresented in myrmecophagous species relative to other host families include <i>Paludibacter</i>, <i>Treponema</i>, and Rikenellaceae, suggesting diet-mediated selection and prey-to-predator transmission likely driving the observed compositional convergence. This study provides a basis for examining the roles of the gut microbiome in host tolerance and sequestration of toxic alkaloids from ants and termites.
DOI: 10.5519/qd.hw42cwot
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (38 records)
DOI: 10.25403/upresearchdata.24494851.v1
title: Body measurements, urine and serum analysis of glycine supplementation in captive cheetahs

description: This dataset includes quantitative data of 10 captive cheetahs on a control and glycine supplemented diet using a cross-over study design included in the PhD thesis titled "Metabolic effects of glycine supplementation in captive cheetahs (<i>acinonyx jubatus</i>)". The data includes body measurements, hematology and serum biochemistry as well as an untargeted nuclear magnetic resonance (NMR) analysis on urine and serum. Univariate and multivariate statistical approaches were used to analyze the data.
DOI: 10.25403/upresearchdata.24494851
title: Body measurements, urine and serum analysis of glycine supplementation in captive cheetahs

description: This dataset includes quantitative data of 10 captive cheetahs on a control and glycine supplemented diet using a cross-over study design included in the PhD thesis titled "Metabolic effects of glycine supplementation in captive cheetahs (<i>acinonyx jubatus</i>)". The data includes body measurements, hematology and serum biochemistry as well as an untargeted nuclear magnetic resonance (NMR) analysis on urine and serum. Univariate and multivariate statistical approaches were used to analyze the data.
DOI: 10.25810/zb7c-gf43.45
title: Oceania Newspaper Coverage of Climate Change or Global Warming, 2000-2023 - September 2023

description: The Media and Climate Change Observatory Data monitors 127 sources (across newspapers, radio and TV) in 59 countries in seven different regions around the world. Data is assembled by accessing archives through the Lexis Nexis, Proquest and Factiva databases via the University of Colorado libraries. More information may be found at: http://mecco.colorado.edu.
DOI: 10.5281/zenodo.10083020
title: Data for "Spacecraft charging simulations of probe B1 of Comet Interceptor during the cometary flyby"

description: Simulation results of the spacecraft-plasma interactions of probe B1 of Comet Interceptor obtained with the Spacecraft Plasma Interaction Software (SPIS) and the ElectroMagnetic Spacecraft Environment Simulator (EMSES). Detailed descriptions of the simulations and the results are given in the paper "Spacecraft charging simulations of probe B1 of Comet Interceptor during the cometary flyby" by Bergman et al.
Contact email: sofiabergmanphd@gmail.com
DOI: 10.5281/zenodo.10083021
title: Data for "Spacecraft charging simulations of probe B1 of Comet Interceptor during the cometary flyby"

description: Simulation results of the spacecraft-plasma interactions of probe B1 of Comet Interceptor obtained with the Spacecraft Plasma Interaction Software (SPIS) and the ElectroMagnetic Spacecraft Environment Simulator (EMSES). Detailed descriptions of the simulations and the results are given in the paper "Spacecraft charging simulations of probe B1 of Comet Interceptor during the cometary flyby" by Bergman et al.
Contact email: sofiabergmanphd@gmail.com
DOI: 10.5281/zenodo.10082625
title: The raw data from the article "KinomeMETA: meta-learning enhanced kinome-wide polypharmacology profiling"

description: The raw data from the article "KinomeMETA: meta-learning enhanced kinome-wide polypharmacology profiling"
DOI: 10.5281/zenodo.10082624
title: The raw data from the article "KinomeMETA: meta-learning enhanced kinome-wide polypharmacology profiling"

description: The raw data from the article "KinomeMETA: meta-learning enhanced kinome-wide polypharmacology profiling"
DOI: 10.5281/zenodo.10082178
title: jhu
title: jhu Database for COVID-19 data in World

description: COVID-19 data for World from 2020-01-22 to 2023-03-09, including tot_confirmed, tot_deaths, tot_recovered
DOI: 10.5281/zenodo.10082179
title: jhu
title: jhu Database for COVID-19 data in World

description: COVID-19 data for World from 2020-01-22 to 2023-03-09, including tot_confirmed, tot_deaths, tot_recovered
DOI: 10.13011/m3-16sc-k003
title: Solute Grain Boundary Segregation in Mg Alloys at Finite Temperatures - Data Set
DOI: 10.6084/m9.figshare.23579985
title: A Novel Approach for Modeling Biphasic Dose–Response Curves

description: Estimates of <i>EC</i><sub>50</sub><sup>1</sup> from dose–response data play an important role in comparing drug potencies. When the sampling data of dose–response studies fail to follow a sigmoidal shaped curve, and the data display a biphasic property at higher dose levels where the response profile concaves and takes an inverted U-shape, this is known as the hook or prozone effect. To address this concern, some research investigators may pursue data removal. Others may choose to ignore the data shape and fit a model blindly. Unfortunately for both practices, the estimates of the fitting parameters, such as the <i>EC</i><sub>50</sub>, will be of poor quality and result in misleading inference. The authors propose the use of an empirical and novel extension of a sigmoid model to properly and effectively capture the information from all of the dose–response data, including that of the inverted U-shaped tail. Methods for using 3- and 4-parameter logistic models with examples, are discussed.
DOI: 10.6084/m9.figshare.23579985.v2
title: A Novel Approach for Modeling Biphasic Dose–Response Curves

description: Estimates of <i>EC</i><sub>50</sub><sup>1</sup> from dose–response data play an important role in comparing drug potencies. When the sampling data of dose–response studies fail to follow a sigmoidal shaped curve, and the data display a biphasic property at higher dose levels where the response profile concaves and takes an inverted U-shape, this is known as the hook or prozone effect. To address this concern, some research investigators may pursue data removal. Others may choose to ignore the data shape and fit a model blindly. Unfortunately for both practices, the estimates of the fitting parameters, such as the <i>EC</i><sub>50</sub>, will be of poor quality and result in misleading inference. The authors propose the use of an empirical and novel extension of a sigmoid model to properly and effectively capture the information from all of the dose–response data, including that of the inverted U-shaped tail. Methods for using 3- and 4-parameter logistic models with examples, are discussed.
DOI: 10.6084/m9.figshare.23579985.v1
title: A Novel Approach for Modeling Biphasic Dose-Response Curves

description: Estimates of <i>EC</i><sub>50</sub><sup>1</sup> from dose-response data play an important role in comparing drug potencies. When the sampling data of dose-response studies fail to follow a sigmoidal shaped curve, and the data display a biphasic property at higher dose levels where the response profile concaves and takes an inverted U-shape, this is known as the hook or prozone effect. To address this concern, some research investigators may pursue data removal. Others may choose to ignore the data shape and fit a model blindly. Unfortunately for both practices, the estimates of the fitting parameters, such as the <i>EC</i><sub>50</sub>, will be of poor quality and result in misleading inference. The authors propose the use of an empirical and novel extension of a sigmoid model to properly and effectively capture the information from all of the dose-response data, including that of the inverted U-shaped tail. Methods for using 3- and 4-parameter logistic models with examples, are discussed.
DOI: 10.6084/m9.figshare.21866062.v3
title: Assessing the Commonly Used Assumptions in Estimating the Principal Causal Effect in Clinical Trials

description: <b><i>Abstract–</i>In clinical trials, it is often of interest to understand the Principal Causal Effect (PCE), the average treatment effect for a principal stratum (a subset of patients defined by the potential outcomes of one or more post-baseline variables). Commonly used assumptions include monotonicity, principal ignorability, and cross-world assumptions of principal ignorability and principal strata independence. In this article, we evaluate these assumptions through a 2 × 2 cross-over study in which the potential outcomes under both treatments can be observed, provided there are no carry-over and study period effects. From this example, it seemed the monotonicity assumption and the within-treatment principal ignorability assumptions did not hold well. On the other hand, the assumptions of cross-world principal ignorability and cross-world principal stratum independence conditional on baseline covariates seemed reasonable. With the latter assumptions, we estimated the PCEs, defined by whether the blood glucose standard deviation increased in each treatment period, without relying on the cross-over feature, producing estimates close to the results when exploiting the cross-over feature. To the best of our knowledge, this article is the first attempt to evaluate the plausibility of commonly used assumptions for estimating PCEs using a cross-over trial.</b>
DOI: 10.6084/m9.figshare.21866062
title: Assessing the Commonly Used Assumptions in Estimating the Principal Causal Effect in Clinical Trials

description: <b><i>Abstract–</i>In clinical trials, it is often of interest to understand the Principal Causal Effect (PCE), the average treatment effect for a principal stratum (a subset of patients defined by the potential outcomes of one or more post-baseline variables). Commonly used assumptions include monotonicity, principal ignorability, and cross-world assumptions of principal ignorability and principal strata independence. In this article, we evaluate these assumptions through a 2 × 2 cross-over study in which the potential outcomes under both treatments can be observed, provided there are no carry-over and study period effects. From this example, it seemed the monotonicity assumption and the within-treatment principal ignorability assumptions did not hold well. On the other hand, the assumptions of cross-world principal ignorability and cross-world principal stratum independence conditional on baseline covariates seemed reasonable. With the latter assumptions, we estimated the PCEs, defined by whether the blood glucose standard deviation increased in each treatment period, without relying on the cross-over feature, producing estimates close to the results when exploiting the cross-over feature. To the best of our knowledge, this article is the first attempt to evaluate the plausibility of commonly used assumptions for estimating PCEs using a cross-over trial.</b>
DOI: 10.13011/m3-yssy-8m49
title: Solute Grain Boundary Segregation in Mg Alloys at Finite Temperatures - Data Set
DOI: 10.26180/24515092.v1
title: <b>Human Sitting to Walking Transitions: A Motion Capture Dataset</b>

description: Sit-to-walk (STW) is a crucial activity of daily living that involves a seamless merging between sit-to-stand (STS) transitions and gait. Due to ageing or movement impairment the ability to perform STW may deteriorate leading to an increased fall risk along with physical and psychological degradation. Therefore, it is necessary to assist impaired individuals during STW, to preserve independence and a high quality of life. Consequently, understanding STW biomechanics and execution strategies would aid in rehabilitation, through assistive devices or interventions. STW biomechanical trajectories of healthy adults can serve as a reference or benchmark to assess and aid neuromusculoskeletal impairments, while also monitoring recovery progress. As such, this study presents a publicly available dataset containing lower body motion capture (Mocap), ground reaction force, inertial measurement unit (IMU) and surface electromyography (SEMG) data for healthy adults, during STW. Additionally, the KOOS survey was conducted for knee health information, while STW was obtained via the timed-up-and-go test. The dataset had a sample size of 65 subjects with 32 males and 33 females, within three age groups – young, middle-aged, and older adults. The average subject age, weight and height were 39.35 ± 17.51 years, 63.69 ± 15.35 kg and 162.81 ± 9.51 cm, respectively. Moreover, to validate the dataset the hip, knee and ankle joint angles were derived (using Mocap data) along with the processed and normalised SEMG (using the maximal voluntary contraction) of 8 muscles, via OpenSim 4.2 and MATLAB (MathWorks). These were compared with existing literature for STW/STS and showed a match in both overall trends and range, thus validating the collected experimental data.
DOI: 10.5281/zenodo.8388067
title: cre_mtc_essen_ses_alignment_dlfm2023

description: This archive contains data that goes with:
Peter van Kranenburg and Eoin Kearns. 2023. Cross-Corpus Melodic Similarity For Enriching Archival Collections. In Proceedings of Digital Libraries for Musicology Conference (DLfM). ACM, New York, NY, USA.
The data contains a full distance matrix, ranked lists, and lists of similar pairs of melodies across four melody collections: The Meertens Tune Collections  MTC-FS-INST-2.0, the EsAC Folk Song Databases, the Ceol Rince na hÉireann collection, and The Session.
DOI: 10.5281/zenodo.8388066
title: cre_mtc_essen_ses_alignment_dlfm2023

description: This archive contains data that goes with:
Peter van Kranenburg and Eoin Kearns. 2023. Cross-Corpus Melodic Similarity For Enriching Archival Collections. In Proceedings of Digital Libraries for Musicology Conference (DLfM). ACM, New York, NY, USA.
The data contains a full distance matrix, ranked lists, and lists of similar pairs of melodies across four melody collections: The Meertens Tune Collections  MTC-FS-INST-2.0, the EsAC Folk Song Databases, the Ceol Rince na hÉireann collection, and The Session.
DOI: 10.5281/zenodo.10082333
title: sciensano
title: sciensano Database for COVID-19 data in Belgium

description: COVID-19 data for Belgium from 2020-03-06 to 2023-06-27, including cur_confirmed, cur_reporting, tot_hosp, tot_icu
DOI: 10.5281/zenodo.10082334
title: sciensano
title: sciensano Database for COVID-19 data in Belgium

description: COVID-19 data for Belgium from 2020-03-06 to 2023-06-27, including cur_confirmed, cur_reporting, tot_hosp, tot_icu
DOI: 10.5281/zenodo.10082350
title: spf
title: spf Database for COVID-19 data in France

description: COVID-19 data for France from 2020-01-23 to 2023-06-30, including cur_cas, cur_hospitalises, cur_reanimation, cur_tx_pos, tot_dc, tot_dc_esms, tot_dc_hosp
DOI: 10.5281/zenodo.10082351
title: spf
title: spf Database for COVID-19 data in France

description: COVID-19 data for France from 2020-01-23 to 2023-06-30, including cur_cas, cur_hospitalises, cur_reanimation, cur_tx_pos, tot_dc, tot_dc_esms, tot_dc_hosp
DOI: 10.20375/0000-0011-0e27-3
title: graffiti-rima-descr.pdf
DOI: 10.20375/0000-0011-0e28-2
title: graffiti-rima-export-2023-10-03.csv
DOI: 10.20375/0000-0011-0e29-1
title: graffiti-rima-export-2023-10-03.xlsx
DOI: 10.48320/2168be04-e808-4b82-a47d-ac59566fcee6
title: Protest Graffiti During the Russian Invasion of Ukraine as Covered by Russian Independent Media
DOI: 10.3886/icpsr38602.v1
title: Engaging Parents with Preschools: Evidence from a Field Experiment, Chicago, Illinois, 2018-2019
title: Version 1

description: Head Start and other publicly supported preschools are required to spend substantial funds promoting family engagement, which is a key element of improving child skills. Yet, parent engagement with preschools tends to be low. To increase parental attendance at school-sponsored family engagement events, a 17-week randomized controlled trial was conducted. Results showed that the treatment increased the likelihood of attending an event by 28%. Treated parents were also more likely to attend unincentivized events, which is consistent with habit formation.
description: The purpose of this study was to determine whether incentivizing parents to attend school-sponsored family engagement events would increase participation.
description: The treatment group consisted of 319 parents at sponsored family engagement events at 6 subsidized preschools in Chicago. The monetary incentive was offered as a loss-frame incentive of $200 in a virtual account (redeemable at the end of the experiment), of which $25 was deductible for each missed event. Parents also received weekly text message reminders with event details, as well as a second text message that indicated how much money remained in their account.
description: Variables in the data pertain to the attendance of participants in the school-sponsored family engagement events. Demographic variables in the data include gender, age in months of participants' children, and whether the participant speaks Spanish.
description: Randomized Control Trial (RCT)
description: Datasets: DS1: Engaging Parents with Preschools: Evidence from a Field Experiment, Chicago, Illinois, 2018-2019
description: Parents of students at preschools in Chicago.
description: coded on-site observationFor additional information on this study, please visit the Becker Friedman Institute website.
DOI: 10.3886/icpsr38602
title: Engaging Parents with Preschools: Evidence from a Field Experiment, Chicago, Illinois, 2018-2019
title: Archival Version

description: Head Start and other publicly supported preschools are required to spend substantial funds promoting family engagement, which is a key element of improving child skills. Yet, parent engagement with preschools tends to be low. To increase parental attendance at school-sponsored family engagement events, a 17-week randomized controlled trial was conducted. Results showed that the treatment increased the likelihood of attending an event by 28%. Treated parents were also more likely to attend unincentivized events, which is consistent with habit formation.
description: The purpose of this study was to determine whether incentivizing parents to attend school-sponsored family engagement events would increase participation.
description: The treatment group consisted of 319 parents at sponsored family engagement events at 6 subsidized preschools in Chicago. The monetary incentive was offered as a loss-frame incentive of $200 in a virtual account (redeemable at the end of the experiment), of which $25 was deductible for each missed event. Parents also received weekly text message reminders with event details, as well as a second text message that indicated how much money remained in their account.
description: Variables in the data pertain to the attendance of participants in the school-sponsored family engagement events. Demographic variables in the data include gender, age in months of participants' children, and whether the participant speaks Spanish.
description: Randomized Control Trial (RCT)
description: Datasets: DS1: Engaging Parents with Preschools: Evidence from a Field Experiment, Chicago, Illinois, 2018-2019
description: Parents of students at preschools in Chicago.
description: coded on-site observationFor additional information on this study, please visit the Becker Friedman Institute website.
DOI: 10.6084/m9.figshare.24525604
title: Supporting Information - Generations

description: Carbon Footprints of UK households from different generations from 2001-2020. Data provided to support Journal Paper 'Generational effects in UK household Carbon Footprints'
DOI: 10.6084/m9.figshare.24525604.v1
title: Supporting Information - Generations

description: Carbon Footprints of UK households from different generations from 2001-2020. Data provided to support Journal Paper 'Generational effects in UK household Carbon Footprints'
DOI: 10.25810/q1-ts57.37
title: Russian Newspaper Coverage of Climate Change or Global Warming, 2000-2023 - September 2023

description: The Media and Climate Change Observatory Data monitors 127 sources (across newspapers, radio and TV) in 59 countries in seven different regions around the world. Data is assembled by accessing archives through the Lexis Nexis, Proquest and Factiva databases via the University of Colorado libraries. More information may be found at: http://mecco.colorado.edu.
DOI: 10.5517/ccdc.csd.cc29gqwd
title: CCDC 2129324: Experimental Crystal Structure Determination

description: Related Article: James H. Frederich, Megan M. Solans|2023|U.S.Patents|||
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.