cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/6d8w9vv5bv.3
title: Lysosomal LAMP proteins regulate lysosomal pH by direct inhibition of PD-related TMEM175 channel-Jiyuan Zhang

description: These are the raw image data related to the manuscript submitted to Molecular Cell titled "Lysosomal LAMP proteins regulate lysosomal pH by direct inhibition of PD-related TMEM175 channel".
DOI: 10.18716/dch/a.00000016
title: Russian multimodal conversational data

description: This multimodal corpus is a collection of video and speech recordings of face-to-face dialogues of Russian immigrants aged from 20-30 years old. At the moment 7 dialogue conversations of 40-60 minutes were recorded at the University of Cologne in November 2022, in total ca 4,5 hours of speech. The participants were native Russian speakers who live in Germany no longer than 5 years. Mostly pairs of not acquainted participants were selected, except one dyad (they were a married couple at the time of recordings). The participants were allowed to talk about any topic they wanted. The language material was captured in optimal conditions using frontal view HD camera with green background. This corpus contains data from 10 participants. All of them were university students. The video recordings will be accompanied with ELAN transcriptions and gesture annotations with a focus on discourse organization and conversational interaction and with particular attention to manual and nonmanual gestures (such as head nods, head shake, eye gaze, eye blinks, mouth gesture, nose wrinkles, face expressions, eyebrow and lip movement). The data has been elicited for the purposes of conducting the project "Gestures or Signs? Comparing Manual and Non-manual Constructions Sharing the Same Form in Co-speech Gesture and Sign Language: A Corpus-driven Approach" funded by DFG under the priority programme ViCom. As the project is aimed at comparing constructions of bodily movements that take the same form in languages belonging to different modalities, the annotations focus on alignments between speech and (non)manual gesture.
DOI: 10.25502/rzjs-et34/d
title: Cocoa leaves analysis data for research on the theme "Integrated Soil Fertility Management in the Transition Zones Between Savannah Forest (Ntui) and Dense Tropical Forest (Ebolowa) in Cameroon.

description: Cocoasoils aims to deploy an Integrated Soil Fertility Management (ISFM) approach that embraces an integrated system’s approach to cocoa intensification while combining improved planting materials, canopy cover management and pest/disease control with targeted fertilizer application to enhance sustainability and avoid deforestation.
DOI: 10.17632/nybc752zgy.1
title: Electron-rich Au nanocrystals/Co3O4 interface for enhanced electrochemical nitrate reduction into ammonia

description: Data source of article: Electron-rich Au nanocrystals/Co3O4 interface for enhanced electrochemical nitrate reduction into ammonia
DOI: 10.17632/f8rhxzkvvh.1
title: Supplementary Figures and Tables

description: Supplementary Figures and Tables
DOI: 10.17632/cj4n8m9kk4.1
title: Atlas of Viral Adaptive Evolution Code 

description: Code to calculate rate of adaptation for a virus that has been sequenced over time. The rate_of_adaptation.ipynb notebook will calculate the rate using an outgroup that gets updated over time, while the rate_of_adaptation_bhatt.ipynb notebook will calculate a rate using a fixed outgroup
DOI: 10.5281/zenodo.7956235
title: SciExpeM - 10.5281/zenodo.7956235

description: Hamadi et al., Proceedings of the Combustion Institute 000 (2022) 1–10
DOI: 10.5281/zenodo.7956234
title: SciExpeM - 10.5281/zenodo.7956235

description: Hamadi et al., Proceedings of the Combustion Institute 000 (2022) 1–10
DOI: 10.17632/5dt5pg5jdj.1
title: The Rab5 effector FERRY links early endosomes with mRNA localization

description: Localized translation is vital to polarized cells and requires precise and robust distribution of different mRNAs and ribosomes across the cell. However, the underlying molecular mechanisms are poorly understood and important players are lacking. Here, we discovered a Rab5 effector, the Five-subunit Endosomal Rab5 and RNA/ribosome intermediarY, FERRY complex that recruits mRNAs and ribosomes to early endosomes, through direct mRNA-interaction. FERRY displays preferential binding to certain groups of transcripts, including mRNAs encoding mitochondrial proteins. Deletion of FERRY subunits reduces the endosomal localization of transcripts in cells and has a significant impact on mRNA levels. Clinical studies show that genetic disruption of FERRY causes severe brain damage. We found that, in neurons, FERRY co-localizes with mRNA on early endosomes and mRNA loaded FERRY-positive endosomes are in close proximity of mitochondria. FERRY thus transforms endosomes into mRNA carriers and plays a key role in regulating mRNA distribution and transport.
DOI: 10.17632/5dt5pg5jdj.2
title: The Rab5 effector FERRY links early endosomes with mRNA localization

description: Localized translation is vital to polarized cells and requires precise and robust distribution of different mRNAs and ribosomes across the cell. However, the underlying molecular mechanisms are poorly understood and important players are lacking. Here, we discovered a Rab5 effector, the Five-subunit Endosomal Rab5 and RNA/ribosome intermediarY, FERRY complex that recruits mRNAs and ribosomes to early endosomes, through direct mRNA-interaction. FERRY displays preferential binding to certain groups of transcripts, including mRNAs encoding mitochondrial proteins. Deletion of FERRY subunits reduces the endosomal localization of transcripts in cells and has a significant impact on mRNA levels. Clinical studies show that genetic disruption of FERRY causes severe brain damage. We found that, in neurons, FERRY co-localizes with mRNA on early endosomes and mRNA loaded FERRY-positive endosomes are in close proximity of mitochondria. FERRY thus transforms endosomes into mRNA carriers and plays a key role in regulating mRNA distribution and transport.
DOI: 10.17632/z8ds6nfd77.1
title: Data from: Genome-wide association studies of human and rat BMI converge on synapse, epigenome, and hormone signaling networks 

description: The data in this collection relates to the publication titled “Genome-wide association studies of human and rat BMI converge on synapse, epigenome, and hormone signaling networks”, authored by Wright, Leger, et al. The majority of the collection is dedicated to the phenotypic and genetic data presented in figure two of the manuscript, and for related traits collected for this study. This collection also included raw phenotypic measurements for each of the 6,147 rats used in this study. GWAS data was collected and analyzed as described in “Genome-Wide Association Study in 3,173 Outbred Rats Identifies Multiple Loci for Body Weight, Adiposity, and Fasting Glucose” by Chitre et al., 2020 in continuation of this study. Additionally, this collection contains genotype data collected as part of the NIDA Center for GWAS in Outbred rats and more than 10 additional research projects that use N/NIH heterogeneous stock (HS) outbred rats. We obtain genotypes for DNA samples derived from rats that are phenotyped by different research projects. We use these genotypes to perform genome wide association studies (GWAS) and a number of related analyses.
DOI: 10.17632/zy4z8jmhz2.1
title: Rarias01_RawData

description: Data used in this study corresponded to daily records of milk production and climate variables obtained from a weather station located at the Austral Agricultural Experimental Station (EEAA). The periods of data analysis were considered from December 1st to March 1st of the seasons 2012-2013, season 2015-2016, and season 2016-2017. Hourly records of ambient temperature (ºC), relative humidity (%), wind speed (m/s), and solar radiation (W/m2) were obtained from the weather station located at the EEAA. The dairy farm has approximately 90 ha with a herd of 180 Holstein Friesian dairy cows. The farm has a bi-seasonal calving season (autumn and spring). Cows calving in autumn had an average yield of 22.0 L/cow/day obtained, this figure increases in the case of spring-calving cows, where an average yield of approximately 26.0 L/cow/day is obtained. The feeding of the animals is mainly based on pastures plus concentrates supplied during the two daily milking’s. In addition, depending on the year, cows are offered grass silage as well as summer turnips in the summertime. The climate of the area is temperate-humid with a Mediterranean influence. The average annual temperature is 12°C. Annual precipitation exceeds 2,200 mm/year, but it has a very uneven temporal distribution. During the summer months, in general, water losses by evapotranspiration exceed contributions by precipitation. 
Cows' individual milk production data, per milking and day, were obtained from the ALPRO software installed in the milking parlor of the EEAA. All the data were entered into an Excel spreadsheet, obtaining the averages of temperature, relative humidity, wind speed, and solar radiation of the daily period between 12:00 PM and 19:00 PM were used.
DOI: 10.17632/jcb79s6kb4.4
title: cross-modal psychological refractory period

description: Imaging and behavioral data for 33 human subjects performaing a cross-modal audiovisual discrimination task to investigate the neural basis underlying modality asymmetry effect in psychological refractory period (PRP) effect.
DOI: 10.17632/jcb79s6kb4.1
title: cross-modal psychological refractory period

description: Imaging and behavioral data for 33 human subjects performaing a cross-modal audiovisual discrimination task to investigate the neural basis underlying modality asymmetry effect in psychological refractory period (PRP) effect.
DOI: 10.17632/jcb79s6kb4.2
title: cross-modal psychological refractory period

description: Imaging and behavioral data for 33 human subjects performaing a cross-modal audiovisual discrimination task to investigate the neural basis underlying modality asymmetry effect in psychological refractory period (PRP) effect.
DOI: 10.17632/jcb79s6kb4.3
title: cross-modal psychological refractory period

description: Imaging and behavioral data for 33 human subjects performaing a cross-modal audiovisual discrimination task to investigate the neural basis underlying modality asymmetry effect in psychological refractory period (PRP) effect.
DOI: 10.17632/jcb79s6kb4.5
title: cross-modal psychological refractory period

description: Imaging and behavioral data for 33 human subjects performaing a cross-modal audiovisual discrimination task to investigate the neural basis underlying modality asymmetry effect in psychological refractory period (PRP) effect.
DOI: 10.17632/8m4cpwzjkn.1
title: Base de datos. Intervención Automanejo a Personas con DM2 Neiva.

description: Resumen
Objetivo: Determinar la factibilidad y eficacia preliminar de la intervención educativa AMAS + Vida enfocada en el automanejo de la salud dirigida a personas adultas con diabetes tipo 2 en una Institución de salud de primer nivel en Neiva, Colombia.
Materiales y métodos: Estudio de factibilidad, pretest – post test con un solo grupo, para establecer la eficacia preliminar de la intervención. Muestra intencional de 36 adultos con diabetes tipo 2. Los instrumentos empleados fueron ficha de caracterización y escala Partners in Health para medir automanejo. 
Resultados: 31 adultos con diabetes completaron el seguimiento de 3 meses, mayoría eran mujeres, con bajo nivel socioeconómico y educativo, hubo buena factibilidad de la intervención. Los participantes mejoraron significativamente los conocimientos de la enfermedad (p < 0,001); además hábitos alimenticios (p = 0,001), comportamientos de automanejo de la salud (p < 0,001) y disminución del índice de masa corporal (p = 0,01). No hubo cambios significativos en la actividad física (p = 0,125).
DOI: 10.17632/d7bxkk8vr2.1
title: Profil épidémiologique, clinique et facteurs de risque de diabète sucré. Cas de l’Hôpital Provincial Général de Référence de Kinshasa

description: Diabetes mellitus is a frequent chronic metabolic disease, considered as epidemic.  Methods: It’s a descriptive and retrospective study based on a sample of 50 patients at the HPGRK on a period of 2 years. Results: About 60% were women and 40% men with a sex ratio of 1,5/1.  The most affected group was between 52 and 62 years old, 94% of patients had an age > 40 ans with an average age of 55,48±11,620. Type 2 was predominant with 82,0%. 32% of patients were often obese (12%) and overweight (20%) and 8% malnourished.  The cardinal signs of diabetes mellitus (44%) were the main complaints. The glycemia > 200 mg/dl (64%). Diabetes risk factor returns to family history of diabetes mellitus (56%) and cardiovascular risk factors to alcohol (60%) and high blood pressure. The diabetic foot was the main complication (42%). Conclusion: Diabetes mellitus is common. It often affects women more than men over the age of 40. Diabetic foot is the most common complication.
DOI: 10.17632/rjtwth44gp.1
title: Spousal Effects on Employment Stability

description: The influence of one spouse's occupation on the employment stability of the other spouse using data from the Chinese General Social Survey.
DOI: 10.17632/x2x5h8p6wj.1
title: Supporting information for [40Ar/39Ar age and structural constraints on Permian–Triassic and Jurassic tectono-metamorphic and exhumation phases in the Korean Collision Belt and tectonic implications]

description: Supporting information for [40Ar/39Ar age and structural constraints on Permian–Triassic and Jurassic tectono-metamorphic and exhumation phases in the Korean Collision Belt and tectonic implications]. This supporting material contains 40Ar/39Ar analytical data of laser-step heating of 47 muscovite, biotite and hornblende single-grains and 2 whole-rocks fragments from 34 samples in this study in Table S1.
DOI: 10.5281/zenodo.7628591
title: Potential energy surfaces and rovibrational line lists of diazophosphane

description: Molpro restart file (ASCII) for the XSURF program of the potential energy and dipole moment surfaces of diazophosphane. Line list (ASCII) for diazophosphane obtained from RVCI calculations. Data refer to the publication "Spectroscopic characterization of diazophosphane - a candidate for interstellar observations" (https://doi.org/10.3847/1538-4357/acc9ad)
DOI: 10.5281/zenodo.7628590
title: Potential energy surfaces and rovibrational line lists of diazophosphane

description: Molpro restart file (ASCII) for the XSURF program of the potential energy and dipole moment surfaces of diazophosphane. Line list (ASCII) for diazophosphane obtained from RVCI calculations. Data refer to the publication "Spectroscopic characterization of diazophosphane - a candidate for interstellar observations" (https://doi.org/10.3847/1538-4357/acc9ad)
DOI: 10.5281/zenodo.7541721
title: M100 dataset: time-aggregated data for anomaly detection

description: This entry is a part of a larger data set collected from the most recent Tier-0 supercomputer hosted at CINECA (Marconi100, https://www.hpc.cineca.it/hardware/marconi100). The data covers the entirety of the system, ranging from the computing nodes (980+ computing nodes) internal information such as core loads, temperatures, frequencies, memory write/read operations, CPU power consumption, fan speed, GPU usage details, etc., to the system-wide information, including the liquid cooling infrastructure, the air conditioning system, the power supply units, workload manager statistics, and job-related information, system status alerts, and weather forecast. <br> It comprises hundreds of metrics measured on each computing node, in addition to hundreds of other metrics gathered from sensors monitored along all system components. This particular dataset is made for anomaly detection purposes, it contains the same data as the main dataset but aggregated over time, with one Parquet file for each node. The data is distributed in tarballs, each one including all the files relative to the nodes contained in a given rack. For each file, the rows represent periods of 15 minutes, with the columns being aggregated values (average, standard deviation, min, max) over all the IPMI metrics that are available for the node; an additional column contains anomaly labels from Nagios. More details can be found in the companion repository: https://gitlab.com/ecs-lab/exadata, including the spatial distribution of the nodes in the room.
DOI: 10.5281/zenodo.7541722
title: M100 dataset: time-aggregated data for anomaly detection

description: This entry is a part of a larger data set collected from the most recent Tier-0 supercomputer hosted at CINECA (Marconi100, https://www.hpc.cineca.it/hardware/marconi100). The data covers the entirety of the system, ranging from the computing nodes (980+ computing nodes) internal information such as core loads, temperatures, frequencies, memory write/read operations, CPU power consumption, fan speed, GPU usage details, etc., to the system-wide information, including the liquid cooling infrastructure, the air conditioning system, the power supply units, workload manager statistics, and job-related information, system status alerts, and weather forecast. <br> It comprises hundreds of metrics measured on each computing node, in addition to hundreds of other metrics gathered from sensors monitored along all system components. This particular dataset is made for anomaly detection purposes, it contains the same data as the main dataset but aggregated over time, with one Parquet file for each node. The data is distributed in tarballs, each one including all the files relative to the nodes contained in a given rack. For each file, the rows represent periods of 15 minutes, with the columns being aggregated values (average, standard deviation, min, max) over all the IPMI metrics that are available for the node; an additional column contains anomaly labels from Nagios. More details can be found in the companion repository: https://gitlab.com/ecs-lab/exadata, including the spatial distribution of the nodes in the room.
DOI: 10.5281/zenodo.7588814
title: M100 dataset 1: from 20-03 to 20-12

description: This entry is a part of a larger data set collected from the most recent Tier-0 supercomputer hosted at CINECA (Marconi100, https://www.hpc.cineca.it/hardware/marconi100). The data covers the entirety of the system, ranging from the computing nodes (980+ computing nodes) internal information such as core loads, temperatures, frequencies, memory write/read operations, CPU power consumption, fan speed, GPU usage details, etc., to the system-wide information, including the liquid cooling infrastructure, the air conditioning system, the power supply units, workload manager statistics, and job-related information, system status alerts, and weather forecast.<br> It comprises hundreds of metrics measured on each computing node, in addition to hundreds of other metrics gathered from sensors monitored along all system components.<br> The whole data set is stored as a collection of Zenodo entries; this particular entry corresponds to the period: 20-03, 20-12. The dataset is stored as a partitioned Parquet dataset, with this partitioning hierarchy: year_month ("YY-MM"), plugin, metric. The data is distributed as tarball files, each corresponding to one month of data (first-level partitioning, year_month).<br> The collected data is generated by a monitoring infrastructure working on unstructured data (to improve efficiency and scalability); however, this data has been organized in a structured manner to facilitate its fruition. The simplest way to understand how the access the data is to refer to the companion software modules released together with the dataset itself, which can be found at: https://gitlab.com/ecs-lab/exadata.
DOI: 10.5281/zenodo.7588815
title: M100 dataset 1: from 20-03 to 20-12

description: This entry is a part of a larger data set collected from the most recent Tier-0 supercomputer hosted at CINECA (Marconi100, https://www.hpc.cineca.it/hardware/marconi100). The data covers the entirety of the system, ranging from the computing nodes (980+ computing nodes) internal information such as core loads, temperatures, frequencies, memory write/read operations, CPU power consumption, fan speed, GPU usage details, etc., to the system-wide information, including the liquid cooling infrastructure, the air conditioning system, the power supply units, workload manager statistics, and job-related information, system status alerts, and weather forecast.<br> It comprises hundreds of metrics measured on each computing node, in addition to hundreds of other metrics gathered from sensors monitored along all system components.<br> The whole data set is stored as a collection of Zenodo entries; this particular entry corresponds to the period: 20-03, 20-12. The dataset is stored as a partitioned Parquet dataset, with this partitioning hierarchy: year_month ("YY-MM"), plugin, metric. The data is distributed as tarball files, each corresponding to one month of data (first-level partitioning, year_month).<br> The collected data is generated by a monitoring infrastructure working on unstructured data (to improve efficiency and scalability); however, this data has been organized in a structured manner to facilitate its fruition. The simplest way to understand how the access the data is to refer to the companion software modules released together with the dataset itself, which can be found at: https://gitlab.com/ecs-lab/exadata.
DOI: 10.5281/zenodo.7589130
title: M100 dataset 2: from 21-01 to 21-06

description: This entry is a part of a larger data set collected from the most recent Tier-0 supercomputer hosted at CINECA (Marconi100, https://www.hpc.cineca.it/hardware/marconi100). The data covers the entirety of the system, ranging from the computing nodes (980+ computing nodes) internal information such as core loads, temperatures, frequencies, memory write/read operations, CPU power consumption, fan speed, GPU usage details, etc., to the system-wide information, including the liquid cooling infrastructure, the air conditioning system, the power supply units, workload manager statistics, and job-related information, system status alerts, and weather forecast.<br> It comprises hundreds of metrics measured on each computing node, in addition to hundreds of other metrics gathered from sensors monitored along all system components.<br> The whole data set is stored as a collection of Zenodo entries; this particular entry corresponds to the period: 21-01, 21-06. The dataset is stored as a partitioned Parquet dataset, with this partitioning hierarchy: year_month ("YY-MM"), plugin, metric. The data is distributed as tarball files, each corresponding to one month of data (first-level partitioning, year_month).<br> The collected data is generated by a monitoring infrastructure working on unstructured data (to improve efficiency and scalability); however, this data has been organized in a structured manner to facilitate its fruition. The simplest way to understand how the access the data is to refer to the companion software modules released together with the dataset itself, which can be found at: https://gitlab.com/ecs-lab/exadata.