cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.14279/depositonce-19332
title: Visual social information use in collective foraging

description: Collective dynamics emerge from individual-level decisions, yet we still poorly understand the link between such individual-level decision making processes and collective outcomes in realistic physical environments. Using collective foraging to study the key trade-off between personal and social information use, we present a mechanistic, spatially-explicit agent-based model that combines individual-level evidence accumulation of personal and (visual) social cues with particle-based movement. Under idealized conditions without physical constraints, our mechanistic framework reproduces findings from established probabilistic models, but explains how individual-level decision processes generate collective outcomes in a bottom-up way. Groups performed best in clustered environments if agents quickly accumulated social information and approached successful others; individualistic search was most beneficial in uniform environments. Incorporating different real-world physical and perceptual constraints greatly improved collective performance by buffering maladaptive herding and generating self-organized exploration. Our study uncovers the mechanisms linking individual cognition to collective outcomes in human and animal foraging and paves the way for decentralized robotic applications.
DOI: 10.13026/vfba-0n65
title: BOLD, a blood-gas and oximetry linked dataset

description: Pulse oximeters measure peripheral arterial oxygen saturation (SpO2)
noninvasively, while the gold standard involves arterial blood gas measurement
(SaO2). There are known racial and ethnic disparities in their performance.
BOLD is a new comprehensive dataset that aims to underscore the importance of
addressing biases in pulse oximetry accuracy, particularly affecting people
with darker skin tones. The dataset was created by harmonizing three
Electronic Health Record databases (MIMIC-III, MIMIC-IV, eICU-CRD) comprising
Intensive Care Unit stays. Paired SpO2 and SaO2 measurements were time-aligned
and combined with various other clinical parameters to provide a detailed
picture of each patient. It includes 49,099 such paired measurements within a
5-minute window, with oxygen saturation levels between 70-100%. Significantly,
about 25% of the data represents minority racial and ethnic groups, a
proportion seldom achieved in previous studies. The code scripts have been
made publicly available to facilitate replication.We hope that BOLD is poised
to be a valuable resource for health equity studies, that can be used to
develop pulse oximetry debiasing algorithms.
DOI: 10.13026/phvt-3277
title: BOLD, a blood-gas and oximetry linked dataset

description: Pulse oximeters measure peripheral arterial oxygen saturation (SpO2)
noninvasively, while the gold standard involves arterial blood gas measurement
(SaO2). There are known racial and ethnic disparities in their performance.
BOLD is a new comprehensive dataset that aims to underscore the importance of
addressing biases in pulse oximetry accuracy, particularly affecting people
with darker skin tones. The dataset was created by harmonizing three
Electronic Health Record databases (MIMIC-III, MIMIC-IV, eICU-CRD) comprising
Intensive Care Unit stays. Paired SpO2 and SaO2 measurements were time-aligned
and combined with various other clinical parameters to provide a detailed
picture of each patient. It includes 49,099 such paired measurements within a
5-minute window, with oxygen saturation levels between 70-100%. Significantly,
about 25% of the data represents minority racial and ethnic groups, a
proportion seldom achieved in previous studies. The code scripts have been
made publicly available to facilitate replication.We hope that BOLD is poised
to be a valuable resource for health equity studies, that can be used to
develop pulse oximetry debiasing algorithms.
DOI: 10.3886/e102281v1-142924
title: Demand for Women Workers in World War II

description: These are data sets used in Dina Shatnawi and Price Fishback. "The Impact of World War II on the Demand for Female Workers in Manufacturing." Journal of Economic History (June 2018). It includes data on Pennsylvania labor markets in the 1920s and 1940s and programs and data used to show the relationships at that time.
DOI: 10.5281/zenodo.5808353
title: 30-m HRSC DTM Mosaic of Gale Crater, Mars

description: Digital terrain model (DTM) mosaic of Gale crater, Mars, processed from High-Resolution Stereo Camera (HRSC) stereo images using the modification of DLR-VICAR described by Kim and Muller (2009).


Format: GeoTiff
Projection: Equidistant cylindrical
Datum: Spheroid (r = 3396.190 km)
Bit depth: Float32
Grid-spacing: 30 m/pixel
Terrain reference: 200-m MOLA and HRSC blended global DTM (Fergason et al. 2018)


HRSC source images: H1938_0000, H1927_0000, and H1916_0000
description: The first author is now at University of Glasgow. Contact: divya.persaud@glasgow.ac.uk.
DOI: 10.5281/zenodo.5808354
title: 30-m HRSC DTM Mosaic of Gale Crater, Mars

description: Digital terrain model (DTM) mosaic of Gale crater, Mars, processed from High-Resolution Stereo Camera (HRSC) stereo images using the modification of DLR-VICAR described by Kim and Muller (2009).


Format: GeoTiff
Projection: Equidistant cylindrical
Datum: Spheroid (r = 3396.190 km)
Bit depth: Float32
Grid-spacing: 30 m/pixel
Terrain reference: 200-m MOLA and HRSC blended global DTM (Fergason et al. 2018)


HRSC source images: H1938_0000, H1927_0000, and H1916_0000
description: The first author is now at University of Glasgow. Contact: divya.persaud@glasgow.ac.uk.
DOI: 10.6084/m9.figshare.24531373
title: Comprehensive 16s rRNA sequencing and metabolomics to investigate the effect of anticancer bioactive peptides combined with oxaliplatin on gastric cancer

description: <b>Background: </b>The occurrence and development of gastric cancer are closely related to the gut microbiota. Previous studies have found that the combination of anticancer bioactive peptides (ACBP) and oxaliplatin (OXA) has a significant therapeutic effect on gastric cancer. However the impact of ACBP-OXA on the gut microbiota was still unclear.<b>Methods:</b> We established a nude mouse model of ACBP-OXA for gastric cancer and studied the diversity of gut microbiota and fecal metabolomics, and the correlation between gut microbiota and metabolites.<b>Results: </b>ACBP-OXA has a significant regulatory effect on the gut microbiota. 16s rRNA research has found that in phylum, the relative abundance of Firmicutes and Bacteroidetes changed significantly after the ACBP-OXA group. Specifically, the relative abundance of Firmicutes decreased and Bacteroidetes increased. In the genus, while relative abundance of the Lachnospiraceae NK4AB6 group decreased in the ACBP-OXA group and the relative abundance of odpribacter and bacteroides increased. The relative abundance of Lactobacillus increased in the ACBP group, while the relative abundance of Staphylococcus decreased in the ACBP-OXA and OXA groups. GO and KEGG studies have found that the ACBP-OXA mechanism is related to metabolism and immunity. Through metabolomics research, this study found that differential metabolites were related to Neolignans, Lipids, and lipids that are involved in tyrosine metabolism, unsaturated fat acid biosynthesis, and Phenylalanine metabolism α- Biological processes. Combining metabolomics with 16s rRNA sequencing, it was found that amino acid-related metabolites are associated with bacterial genera such as Jetgalilicus, Staphylococcus, and Proteiniphilum.<b>Conclusion:</b><b> </b>The combination therapy of ACBP-OXA and ACBP-alone may improve and restore the gut microbiota of nude mice with gastric cancer by altering the distribution, diversity, and structure of the gut microbiota, which may be the key to inhibiting the occurrence and development of gastric cancer. This study provides a new direction for further research on the application of ACBP-OXA in the treatment of gastric cancer.
DOI: 10.6084/m9.figshare.24531373.v1
title: Comprehensive 16s rRNA sequencing and metabolomics to investigate the effect of anticancer bioactive peptides combined with oxaliplatin on gastric cancer

description: <b>Background: </b>The occurrence and development of gastric cancer are closely related to the gut microbiota. Previous studies have found that the combination of anticancer bioactive peptides (ACBP) and oxaliplatin (OXA) has a significant therapeutic effect on gastric cancer. However the impact of ACBP-OXA on the gut microbiota was still unclear.<b>Methods:</b> We established a nude mouse model of ACBP-OXA for gastric cancer and studied the diversity of gut microbiota and fecal metabolomics, and the correlation between gut microbiota and metabolites.<b>Results: </b>ACBP-OXA has a significant regulatory effect on the gut microbiota. 16s rRNA research has found that in phylum, the relative abundance of Firmicutes and Bacteroidetes changed significantly after the ACBP-OXA group. Specifically, the relative abundance of Firmicutes decreased and Bacteroidetes increased. In the genus, while relative abundance of the Lachnospiraceae NK4AB6 group decreased in the ACBP-OXA group and the relative abundance of odpribacter and bacteroides increased. The relative abundance of Lactobacillus increased in the ACBP group, while the relative abundance of Staphylococcus decreased in the ACBP-OXA and OXA groups. GO and KEGG studies have found that the ACBP-OXA mechanism is related to metabolism and immunity. Through metabolomics research, this study found that differential metabolites were related to Neolignans, Lipids, and lipids that are involved in tyrosine metabolism, unsaturated fat acid biosynthesis, and Phenylalanine metabolism α- Biological processes. Combining metabolomics with 16s rRNA sequencing, it was found that amino acid-related metabolites are associated with bacterial genera such as Jetgalilicus, Staphylococcus, and Proteiniphilum.<b>Conclusion:</b><b> </b>The combination therapy of ACBP-OXA and ACBP-alone may improve and restore the gut microbiota of nude mice with gastric cancer by altering the distribution, diversity, and structure of the gut microbiota, which may be the key to inhibiting the occurrence and development of gastric cancer. This study provides a new direction for further research on the application of ACBP-OXA in the treatment of gastric cancer.
DOI: 10.5281/zenodo.10086951
title: R code of the mechanism controlling soil bacterial α and β diversity under N addition
DOI: 10.5281/zenodo.10086952
title: R code of the mechanism controlling soil bacterial α and β diversity under N addition
DOI: 10.5281/zenodo.10086953
title: Supporting-data 2023WR036585

description: This supporting data is only used for the paper (No. 2023WR036585) which may be published in WRR.
DOI: 10.5281/zenodo.10086954
title: Supporting-data 2023WR036585

description: This supporting data is only used for the paper (No. 2023WR036585) which may be published in WRR.
DOI: 10.5281/zenodo.10086918
title: Supporting-data 2023WR036585

description: This supporting data is only used for the paper (No. 2023WR036585) which may be published in WRR.
DOI: 10.5281/zenodo.10086919
title: Supporting-data 2023WR036585

description: This supporting data is only used for the paper (No. 2023WR036585) which may be published in WRR.
DOI: 10.18170/dvn/9itwrk
title: 202311WRR data for "Ganglion Startup in Porous Media"

description: 202311 WRR, figure data of the main text and the supplementary information of the article "Ganglion Startup in Porous Media".
DOI: 10.5281/zenodo.10082316
title: A list of Mercury's near-tail current sheet crossings observed by the MESSENGER spacecraft

description: The dataset for "North–South Plasma Asymmetry across Mercury's Near-tail Current Sheet" submitted to Geophy. Res. Lett. This dataset contains information about 202 Mercury's near-tail current sheet events.
DOI: 10.5281/zenodo.10082315
title: A list of Mercury's near-tail current sheet crossings observed by the MESSENGER spacecraft

description: The dataset for "North–South Plasma Asymmetry across Mercury's Near-tail Current Sheet" submitted to Geophy. Res. Lett. This dataset contains information about 202 Mercury's near-tail current sheet events.
DOI: 10.6084/m9.figshare.24518047
title: Kangwon National University MEMS Lab. Electronic nose system dataset

description: This dataset and source code are for the electronic nose system studied at the MEMS Laboratory of Kangwon National University.
DOI: 10.5281/zenodo.10086975
title: Serum levels of interleukins in endometriosis patients:  a systematic review and meta-analysis
DOI: 10.21227/sq1j-z592
title: 80 fs TDC by crosstalking approach

description: A pulse stretching Time to Digital Converter (TDC) exploits the crosstalk effect on FPGA routing tracks is proposed. The principle idea is to superpose an induction voltage on the rising edge to lower its logic high toggling point while maintaining the falling edge intact. Thanks to the constant back induction voltage on the coupled transmission line, logic pulses can be stretched in a consistent manner.   The focus of this cross-talking TDC is to ameliorate the delay variations caused by temperature changes on conventional TDC designs. Experiments were conducted at different temperatures on commercial devices. During tests, the single shot precision, the effective resolution, and the non-linearity performance have all reached state-of-the-art. Noting that, 80fs resolution was observed. Most importantly, improvement on temperature stability is confirmed.
DOI: 10.25582/data.2023-08.2878608/2008917
title: Data for EMSL Project 60929 from August 2023: PI Goemann MONet Request

description: Just as humans rely on a healthy gut microbiome for resilience to illness, plants rely on a healthy root microbiome for resilience to environmental abiotic stress (heat, drought). To achieve a healthy root microbiome, plants release carbon (C)-rich compounds as root exudates to stimulate microbial activity and increase local nutrient mineralization. However, the enhanced performance comes at a cost: up to 44% of a plant’s C can be lost to root exudates, diverting C from plant growth and respiration. Critical knowledge gaps include how the ‘C cost’ is managed and how root exudates alter the microbiome under different environmental conditions. In addition, historical climate conditions, particularly mean annual precipitation, is known to shape local soil microbiomes and alter their sensitivity to drought. Therefore, studies that better characterize the plant-microbe responses to environmental stress will aid in efforts to harness the microbiome to improve crop resilience. However, current knowledge gaps make it challenging to engineer beneficial plant-microbe interactions to improve plant productivity in agricultural systems and to predict how increased climate variability will alter terrestrial C fluxes and climate feedbacks. To fill this knowledge gap our research group at Montana State University – Bozeman is currently studying blue grama (Bouteloua gracilis), a prairie grass native across the Northern Great Plains, as a model for drought tolerance. Our goal is to investigate the above- and belowground responses of blue grama to drought and heat stress to improve our understanding of stress-induced carbon allocation and plant-microbe interactions. Most recently, we investigated the influence of climate history on the blue grama drought response. We collected soil from three blue grama-dominated sites (those proposed to sample here) across a 150 mm mean annual precipitation gradient in SW Montana, USA, to use as inoculum for a greenhouse drought experiment. Preliminary results indicate that soil climate history has a strong influence on the blue grama physiological response to drought as well as on the chemical composition of root exudates and rhizosphere microbiome composition. Metabarcoding data from this experiment is scheduled to be submitted to public databases within the next year. Having in-depth analyses of the soil biogeochemistry and metagenomic composition through the MONet project at each of the field sites associated with this experiment will allow us to link underlying ecological processes with observed patterns of plant growth and productivity at each site. In addition, we plan to utilize the MONet database for future meta-analyses to compare the genomic and biogeochemical signatures of our field sites to others across a wider precipitation gradient throughout the native range of blue grama. This will further provide critical insights into the mechanisms that drive ecosystem functioning and resilience to drought stress.
DOI: 10.25582/data.2023-09.2904289/2008918
title: Data for EMSL Project 60929 from September 2023: PI Goemann MONet Request

description: Just as humans rely on a healthy gut microbiome for resilience to illness, plants rely on a healthy root microbiome for resilience to environmental abiotic stress (heat, drought). To achieve a healthy root microbiome, plants release carbon (C)-rich compounds as root exudates to stimulate microbial activity and increase local nutrient mineralization. However, the enhanced performance comes at a cost: up to 44% of a plant’s C can be lost to root exudates, diverting C from plant growth and respiration. Critical knowledge gaps include how the ‘C cost’ is managed and how root exudates alter the microbiome under different environmental conditions. In addition, historical climate conditions, particularly mean annual precipitation, is known to shape local soil microbiomes and alter their sensitivity to drought. Therefore, studies that better characterize the plant-microbe responses to environmental stress will aid in efforts to harness the microbiome to improve crop resilience. However, current knowledge gaps make it challenging to engineer beneficial plant-microbe interactions to improve plant productivity in agricultural systems and to predict how increased climate variability will alter terrestrial C fluxes and climate feedbacks. To fill this knowledge gap our research group at Montana State University – Bozeman is currently studying blue grama (Bouteloua gracilis), a prairie grass native across the Northern Great Plains, as a model for drought tolerance. Our goal is to investigate the above- and belowground responses of blue grama to drought and heat stress to improve our understanding of stress-induced carbon allocation and plant-microbe interactions. Most recently, we investigated the influence of climate history on the blue grama drought response. We collected soil from three blue grama-dominated sites (those proposed to sample here) across a 150 mm mean annual precipitation gradient in SW Montana, USA, to use as inoculum for a greenhouse drought experiment. Preliminary results indicate that soil climate history has a strong influence on the blue grama physiological response to drought as well as on the chemical composition of root exudates and rhizosphere microbiome composition. Metabarcoding data from this experiment is scheduled to be submitted to public databases within the next year. Having in-depth analyses of the soil biogeochemistry and metagenomic composition through the MONet project at each of the field sites associated with this experiment will allow us to link underlying ecological processes with observed patterns of plant growth and productivity at each site. In addition, we plan to utilize the MONet database for future meta-analyses to compare the genomic and biogeochemical signatures of our field sites to others across a wider precipitation gradient throughout the native range of blue grama. This will further provide critical insights into the mechanisms that drive ecosystem functioning and resilience to drought stress.
DOI: 10.25582/data.2023-08.2878568/2008919
title: Data for EMSL Project 60929 from August 2023: PI Goemann MONet Request

description: Just as humans rely on a healthy gut microbiome for resilience to illness, plants rely on a healthy root microbiome for resilience to environmental abiotic stress (heat, drought). To achieve a healthy root microbiome, plants release carbon (C)-rich compounds as root exudates to stimulate microbial activity and increase local nutrient mineralization. However, the enhanced performance comes at a cost: up to 44% of a plant’s C can be lost to root exudates, diverting C from plant growth and respiration. Critical knowledge gaps include how the ‘C cost’ is managed and how root exudates alter the microbiome under different environmental conditions. In addition, historical climate conditions, particularly mean annual precipitation, is known to shape local soil microbiomes and alter their sensitivity to drought. Therefore, studies that better characterize the plant-microbe responses to environmental stress will aid in efforts to harness the microbiome to improve crop resilience. However, current knowledge gaps make it challenging to engineer beneficial plant-microbe interactions to improve plant productivity in agricultural systems and to predict how increased climate variability will alter terrestrial C fluxes and climate feedbacks. To fill this knowledge gap our research group at Montana State University – Bozeman is currently studying blue grama (Bouteloua gracilis), a prairie grass native across the Northern Great Plains, as a model for drought tolerance. Our goal is to investigate the above- and belowground responses of blue grama to drought and heat stress to improve our understanding of stress-induced carbon allocation and plant-microbe interactions. Most recently, we investigated the influence of climate history on the blue grama drought response. We collected soil from three blue grama-dominated sites (those proposed to sample here) across a 150 mm mean annual precipitation gradient in SW Montana, USA, to use as inoculum for a greenhouse drought experiment. Preliminary results indicate that soil climate history has a strong influence on the blue grama physiological response to drought as well as on the chemical composition of root exudates and rhizosphere microbiome composition. Metabarcoding data from this experiment is scheduled to be submitted to public databases within the next year. Having in-depth analyses of the soil biogeochemistry and metagenomic composition through the MONet project at each of the field sites associated with this experiment will allow us to link underlying ecological processes with observed patterns of plant growth and productivity at each site. In addition, we plan to utilize the MONet database for future meta-analyses to compare the genomic and biogeochemical signatures of our field sites to others across a wider precipitation gradient throughout the native range of blue grama. This will further provide critical insights into the mechanisms that drive ecosystem functioning and resilience to drought stress.