cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.23499009.v1
title: DNA methylation and gene expression changes in mouse mammary tissue during successive lactations: part I – the impact of inflammation

description: Mastitis is among the main reasons women cease breastfeeding, which leads to them supplementing breast milk with artificial formula. In farm animals, mastitis results in significant economic losses and the premature culling of some animals. Nevertheless, researchers do not know enough about the effect of inflammation on the mammary gland. This article discusses the changes to DNA methylation in mouse mammary tissue caused by lipopolysaccharide-induced inflammation (4 h post-injection of lipopolysaccharide). We analysed the expression of some genes related to mammary gland function, epigenetic regulation, and the immune response. The analysis focused on three comparisons: inflammation during the first lactation, inflammation during second lactation with no history of inflammation, and inflammation during second lactation with previous inflammation. We identified differentially methylated cytosines (DMCs), differentially methylated regions (DMRs), and some differentially expressed genes (DEGs) for each comparison. The three comparisons shared some DEGs; however, few DMCs and only one DMR were shared. These observations suggest that inflammation is one of several factors affecting epigenetic regulation during successive lactations. Furthermore, the comparison between animals in second lactation with and without inflammation, with no inflammation history during first lactation showed a different pattern compared to the other conditions in this experiment. This indicates that inflammation history plays an important role in determining epigenetic changes. The data presented in this study suggest that lactation rank and previous inflammation history are equally important when explaining mammary tissue gene expression and DNA methylation changes. <b>Abbreviations:</b> RRBS, reduced representation bisulfite sequencing; RT–qPCR, real-time quantitative polymerase chain reaction; MEC, mammary epithelial cells; TSS, transcription start site; TTS, transcription termination site; UTR, untranslated region; SINE, short interspersed nuclear element; LINE, long interspersed nuclear element; CGI, CpG island; DEG, differentially expressed gene; DMC, differentially methylated cytosine; DMR, differentially methylated region; GO term, gene ontology term; MF, molecular function; BP, biological process
DOI: 10.48366/r597380
title: How to use corpus linguistics approach to improve educational content for L2 students

description: The Comparison reflects some approaches to use corpus linguistics tools in second language teaching
DOI: 10.5281/zenodo.8025436
title: hermissenda_crassicornis_zanfona_01.fasta.gz

description: .
DOI: 10.5281/zenodo.8025435
title: hermissenda_crassicornis_zanfona_01.fasta.gz

description: .
DOI: 10.5281/zenodo.7950743
title: Agroforestry-based community forestry as a large-scale strategy to reforest agricultural encroachment areas in Myanmar: ambition vs. local reality

description: Abstract: <br> Context: <br> The high rate of deforestation in Myanmar is mainly due to agricultural expansion. One task of the Forest Department is to increase tree cover in the encroaching farmland by establishing large-scale agroforestry-based community forests (ACFs).<br> Aim: <br> The objectives of this study were to analyze the adoption and performance of the ACFs in the agricultural encroachment areas in the Bago-Yoma region, Myanmar; and to provide recommendations to enhance the adoption of ACFs by farmers.<br> Methods: <br> We inventoried 42 sample plots and surveyed 291 farmers. Survey responses were analyzed by binary logistic regression, one-way ANOVA, and non-parametric correlation tests to evaluate factors influencing the adoption of ACFs. Stand characteristics were calculated from the inventory data to evaluate the performance of ACFs.<br> Results: <br> Our results show that farmer participation in ACFs was lower than stated in the registry of the Forest Department. Farmers practiced four different agroforestry designs in ACFs with different outcomes. The Forest Department strongly determined tree species and planting designs, farmers’ perception and participation in ACFs. Farmland size, unclear and insufficient information on ACFs, and a negative perception of raising trees in crop fields were the major factors limiting the adoption rates of ACFs. <br> Conclusion: <br> We recommend capacity building for farmers and Forest Department staff and raising awareness about the benefits of planting designs and trees on farmland. A stronger consideration of farmers’ preferences for design and species selection could increase their motivation to adopt ACFs and improve the long-term sustainability of ACFs.
description: The data is part of the PhD research of the first author.
DOI: 10.5281/zenodo.7950742
title: Agroforestry-based community forestry as a large-scale strategy to reforest agricultural encroachment areas in Myanmar: ambition vs. local reality

description: Abstract: <br> Context: <br> The high rate of deforestation in Myanmar is mainly due to agricultural expansion. One task of the Forest Department is to increase tree cover in the encroaching farmland by establishing large-scale agroforestry-based community forests (ACFs).<br> Aim: <br> The objectives of this study were to analyze the adoption and performance of the ACFs in the agricultural encroachment areas in the Bago-Yoma region, Myanmar; and to provide recommendations to enhance the adoption of ACFs by farmers.<br> Methods: <br> We inventoried 42 sample plots and surveyed 291 farmers. Survey responses were analyzed by binary logistic regression, one-way ANOVA, and non-parametric correlation tests to evaluate factors influencing the adoption of ACFs. Stand characteristics were calculated from the inventory data to evaluate the performance of ACFs.<br> Results: <br> Our results show that farmer participation in ACFs was lower than stated in the registry of the Forest Department. Farmers practiced four different agroforestry designs in ACFs with different outcomes. The Forest Department strongly determined tree species and planting designs, farmers’ perception and participation in ACFs. Farmland size, unclear and insufficient information on ACFs, and a negative perception of raising trees in crop fields were the major factors limiting the adoption rates of ACFs. <br> Conclusion: <br> We recommend capacity building for farmers and Forest Department staff and raising awareness about the benefits of planting designs and trees on farmland. A stronger consideration of farmers’ preferences for design and species selection could increase their motivation to adopt ACFs and improve the long-term sustainability of ACFs.
description: The data is part of the PhD research of the first author.
DOI: 10.5281/zenodo.8005342
title: Agroforestry-based community forestry as a large-scale strategy to reforest agricultural encroachment areas in Myanmar: ambition vs. local reality

description: Abstract: <br> Context: <br> The high rate of deforestation in Myanmar is mainly due to agricultural expansion. One task of the Forest Department is to increase tree cover in the encroaching farmland by establishing large-scale agroforestry-based community forests (ACFs).<br> Aim: <br> The objectives of this study were to analyze the adoption and performance of the ACFs in the agricultural encroachment areas in the Bago-Yoma region, Myanmar; and to provide recommendations to enhance the adoption of ACFs by farmers.<br> Methods: <br> We inventoried 42 sample plots and surveyed 291 farmers. Survey responses were analyzed by binary logistic regression, one-way ANOVA, and non-parametric correlation tests to evaluate factors influencing the adoption of ACFs. Stand characteristics were calculated from the inventory data to evaluate the performance of ACFs.<br> Results: <br> Our results show that farmer participation in ACFs was lower than stated in the registry of the Forest Department. Farmers practiced four different agroforestry designs in ACFs with different outcomes. The Forest Department strongly determined tree species and planting designs, farmers’ perception and participation in ACFs. Farmland size, unclear and insufficient information on ACFs, and a negative perception of raising trees in crop fields were the major factors limiting the adoption rates of ACFs. <br> Conclusion: <br> We recommend capacity building for farmers and Forest Department staff and raising awareness about the benefits of planting designs and trees on farmland. A stronger consideration of farmers’ preferences for design and species selection could increase their motivation to adopt ACFs and improve the long-term sustainability of ACFs.
description: The data is part of the PhD research of the first author.
DOI: 10.5281/zenodo.8025448
title: scyllaea_pelagica_zanfona_1.fasta.gz

description: .
DOI: 10.5281/zenodo.8025447
title: scyllaea_pelagica_zanfona_1.fasta.gz

description: .
DOI: 10.6084/m9.figshare.23498982
title: Research Data (Health & Environmental).xlsx

description: Title: Dataset for IoT-Based Remote Health Monitoring System for Asthma Patients <br> Description: The sensor data from an Internet of Things-based remote health monitoring system created for people with asthma is included in this collection. The information includes both environmental and health factors, giving details on the patients' health and indoor environments. The dataset is a useful tool for researching the efficiency of the monitoring system and examining asthma patients' medical problems. <br> Environmental Data: The file contains measurements of the room's temperature, humidity, and dust density. A DHT11 sensor was used to measure temperature and humidity, while an optical dust sensor was used to measure dust concentration. Over the course of a month, the data was gathered every 15 minutes. <br> Health Data: The dataset also includes health parameters including body temperature, oxygen saturation, and heart rate (measured in beats per minute, or BPM). A MAX30100 sensor was used to measure the heart rate and the amount of oxygen in the blood, while a DS18B20 sensor was used to gauge the body temperature. Over the course of one week, measurements for each of these parameters were conducted at regular intervals on one patient. <br> Data Analysis: A thorough data analysis, including descriptive analysis, graphical representation, and statistical testing, has been performed on the dataset. For both environmental and health factors, descriptive analysis involves computing a number of statistical measures, including mean, standard deviation, minimum, maximum, and percentage of data outside permissible limits. To see the trends and patterns in the data, graphs were created, including line plots, box plots, and time series plots. In order to investigate the variations and importance of health markers throughout various time periods, statistical tests like ANOVA were carried out. <br> Data Reproducibility: Researchers may use the technique described in the corresponding paper to replicate the data. This involves connecting the sensors (DHT11, MAX30100, DS18B20) for data collecting, setting up the IoT-based monitoring system using NodeMCU and Arduino microcontrollers, and employing the relevant software platforms (Blynk, Thingspeak) for real-time monitoring and data visualization. The corresponding author will provide more thorough instructions upon request.
DOI: 10.5281/zenodo.8025468
title: corambe_burchi_zanfona_1.fasta.gz

description: .
DOI: 10.5281/zenodo.8025467
title: corambe_burchi_zanfona_1.fasta.gz

description: .
DOI: 10.5281/zenodo.8025456
title: The Relationship Between Different Python Argument-Passing Mechanisms and Fixes: An Empirical Study

description: Replication package for the paper: The Relationship Between Different Python Argument-Passing Mechanisms and Fixes -- An Empirical Study
description: Completed with project list, scripts and summary statistics.
DOI: 10.5281/zenodo.8025455
title: The Relationship Between Different Python Argument-Passing Mechanisms and Fixes: An Empirical Study

description: Replication package for the paper: The Relationship Between Different Python Argument-Passing Mechanisms and Fixes -- An Empirical Study
description: Completed with project list, scripts and summary statistics.
DOI: 10.5281/zenodo.8025489
title: dendronotus_venustus_zanfona_1.fasta.gz

description: .
DOI: 10.5281/zenodo.8025488
title: dendronotus_venustus_zanfona_1.fasta.gz

description: .
DOI: 10.5281/zenodo.8020652
title: DATASET - Automated grain sizing from UAV imagery of a gravel-bed river: benchmarking of three object-based methods and analysis of particle-size clustering

description: Dataset used to compute the grain size distributions from in-field line sampling and digitally on orthoimages with automated methodologies and by manual labelling. It also contains the data used to produce spatial statistics.
DOI: 10.5281/zenodo.8020651
title: DATASET - Automated grain sizing from UAV imagery of a gravel-bed river: benchmarking of three object-based methods and analysis of particle-size clustering

description: Dataset used to compute the grain size distributions from in-field line sampling and digitally on orthoimages with automated methodologies and by manual labelling. It also contains the data used to produce spatial statistics.
DOI: 10.5281/zenodo.8025520
title: forpus_cyanopygius_zanfona_1.fasta.gz

description: .
DOI: 10.5281/zenodo.8025519
title: forpus_cyanopygius_zanfona_1.fasta.gz

description: .
DOI: 10.34740/kaggle/dsv/5852493
title: COVID-19 Research Paper Classification [CORD-19]
DOI: 10.5281/zenodo.8019625
title: Semantic Parameter Matching in Web APIs with Transformer-based Question Answering

description: This repository contains the evaluation results of our study, as well as datasets and model checkpoints. <br> For a detailed overview regarding the provided materials, please refer to README.md.
DOI: 10.5281/zenodo.8019624
title: Semantic Parameter Matching in Web APIs with Transformer-based Question Answering

description: This repository contains the evaluation results of our study, as well as datasets and model checkpoints. <br> For a detailed overview regarding the provided materials, please refer to README.md.
DOI: 10.5281/zenodo.7972511
title: membrna_set2

description: private repo
DOI: 10.5281/zenodo.7972510
title: membrna_set2

description: private repo
DOI: 10.34740/kaggle/dsv/5902862
title: Balochi Language to English Translation Dataset
DOI: 10.5281/zenodo.8025568
title: forpus_crassirostris_zanfona_1.fasta.gz

description: .
DOI: 10.5281/zenodo.8025567
title: forpus_crassirostris_zanfona_1.fasta.gz

description: .
DOI: 10.6084/m9.figshare.23499051
title: Search strategies

description: Search strategies used in the databases, which were traced by relating all PCC terms
DOI: 10.6084/m9.figshare.23499051.v2
title: Search strategies

description: Search strategies used in the databases, which were traced by relating all PCC terms
DOI: 10.6084/m9.figshare.23499051.v1
title: Search strategies

description: Search strategies used in the databases, which were traced by relating all PCC terms
DOI: 10.5281/zenodo.8025611
title: Tide and TWL Stations for "Understanding Nonlinear Interactions Between Barotropic and Baroclinic Processes in a Global Tide and Storm Surge Model"

description: This is a dataset that contains the tidal and total water level stations used in my dissertation.
DOI: 10.5281/zenodo.8025610
title: Tide and TWL Stations for "Understanding Nonlinear Interactions Between Barotropic and Baroclinic Processes in a Global Tide and Storm Surge Model"

description: This is a dataset that contains the tidal and total water level stations used in my dissertation.
DOI: 10.5281/zenodo.8025624
title: ancula_gibbosa_zanfona_1.fasta.gz

description: .
DOI: 10.5281/zenodo.8025623
title: ancula_gibbosa_zanfona_1.fasta.gz

description: .
DOI: 10.6084/m9.figshare.3761562.v2613
title: Online Labour Index: Measuring the Online Gig Economy for Policy and Research

description: Data repository for the data underlying the Online Labour Index. See http://ilabour.oii.ox.ac.uk online-labour-index/ for details.
DOI: 10.5281/zenodo.8025733
title: Wikidata Dump NA

description: RDF dump of wikidata produced with wdumper.<br>View on wdumper<b>entity count<b>: 425468, <b>statement count</b>: 11624839, <b>triple count</b>: 25332332</b></b>
DOI: 10.5281/zenodo.8025732
title: Wikidata Dump NA

description: RDF dump of wikidata produced with wdumper.<br>View on wdumper<b>entity count<b>: 425468, <b>statement count</b>: 11624839, <b>triple count</b>: 25332332</b></b>
DOI: 10.57967/hf/0749
title: Spam_SMS
DOI: 10.57968/middlebury.23499114.v1
title: McCardell Bicentennial Hall Weather Data 2022

description: Weather data collected at McCardell Bicentennial Hall, Middlebury College, Middlebury, VT, during 2022. ASCII CSV plain text file containing date and time, temperature, barometric pressure, temperature, humidity, wind speed, wind direction, wind gust, wind gust direction, rainfall rate, rainfall, dew point, wind chill, heat index, solar radiation, ultraviolet index, dome temperature, dome humidity, buidling temperature, building humidity, and other values. Observation location at latitude 44° 0' 48.4" north, longitude 73° 10' 52.4" west, elevation 525 feet. No quality control.
DOI: 10.57968/middlebury.23499114
title: McCardell Bicentennial Hall Weather Data 2022

description: Weather data collected at McCardell Bicentennial Hall, Middlebury College, Middlebury, VT, during 2022. ASCII CSV plain text file containing date and time, temperature, barometric pressure, temperature, humidity, wind speed, wind direction, wind gust, wind gust direction, rainfall rate, rainfall, dew point, wind chill, heat index, solar radiation, ultraviolet index, dome temperature, dome humidity, buidling temperature, building humidity, and other values. Observation location at latitude 44° 0' 48.4" north, longitude 73° 10' 52.4" west, elevation 525 feet. No quality control.
DOI: 10.57968/middlebury.23499120
title: McCardell Bicentennial Hall Electrical Energy Data 2022

description: Electrical energy data collected at McCardell Bicentennial Hall, Middlebury College, Middlebury, VT, during 2022. ASCII CSV plain text file containing date and time, building, and power in kilowatts. Observation location at latitude 44° 0' 48.4" north, longitude 73° 10' 52.4" west, elevation 400 feet. No quality control.
DOI: 10.57968/middlebury.23499120.v1
title: McCardell Bicentennial Hall Electrical Energy Data 2022

description: Electrical energy data collected at McCardell Bicentennial Hall, Middlebury College, Middlebury, VT, during 2022. ASCII CSV plain text file containing date and time, building, and power in kilowatts. Observation location at latitude 44° 0' 48.4" north, longitude 73° 10' 52.4" west, elevation 400 feet. No quality control.
DOI: 10.5281/zenodo.8025744
title: Data of the Study

description: Data
DOI: 10.5281/zenodo.8025743
title: Data of the Study

description: Data
DOI: 10.5281/zenodo.8025360
title: Empirical Study on Test Generation Using GitHub Copilot --- Replication Package

description: This replication package contains the data and scripts used in the "Empirical Study on Test Generation Using GitHub Copilot" thesis.
DOI: 10.5281/zenodo.8025361
title: Empirical Study on Test Generation Using GitHub Copilot --- Replication Package

description: This replication package contains the data and scripts used in the "Empirical Study on Test Generation Using GitHub Copilot" thesis.
DOI: 10.5281/zenodo.8025720
title: Empirical Study on Test Generation Using GitHub Copilot --- Replication Package

description: This replication package contains the data and scripts used in the "Empirical Study on Test Generation Using GitHub Copilot" thesis.
DOI: 10.5281/zenodo.8025734
title: Empirical Study on Test Generation Using GitHub Copilot --- Replication Package

description: This replication package contains the data and scripts used in the "Empirical Study on Test Generation Using GitHub Copilot" thesis.
DOI: 10.5281/zenodo.8025737
title: Empirical Study on Test Generation Using GitHub Copilot --- Replication Package

description: This replication package contains the data and scripts used in the "Empirical Study on Test Generation Using GitHub Copilot" thesis.
DOI: 10.5281/zenodo.8025746
title: Empirical Study on Test Generation Using GitHub Copilot --- Replication Package

description: This replication package contains the data and scripts used in the "Empirical Study on Test Generation Using GitHub Copilot" thesis.
DOI: 10.34740/kaggle/dsv/2509615
title: Lab2Wild apple rotting segmentation
DOI: 10.5517/ccdc.csd.cc2f1kmp
title: CCDC 2235832: Experimental Crystal Structure Determination

description: Related Article: Samet Ocak, Federico Poli, Dario Braga, Tommaso Salzillo, Fabrizio Tarterini, Gianluca Carì, Elisabetta Venuti, Francesca Soavi, Simone d’Agostino|2023|Cryst.Growth Des.|23|4336|doi:10.1021/acs.cgd.3c00145
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2f1knq
title: CCDC 2235833: Experimental Crystal Structure Determination

description: Related Article: Samet Ocak, Federico Poli, Dario Braga, Tommaso Salzillo, Fabrizio Tarterini, Gianluca Carì, Elisabetta Venuti, Francesca Soavi, Simone d’Agostino|2023|Cryst.Growth Des.|23|4336|doi:10.1021/acs.cgd.3c00145
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2f1kpr
title: CCDC 2235834: Experimental Crystal Structure Determination

description: Related Article: Samet Ocak, Federico Poli, Dario Braga, Tommaso Salzillo, Fabrizio Tarterini, Gianluca Carì, Elisabetta Venuti, Francesca Soavi, Simone d’Agostino|2023|Cryst.Growth Des.|23|4336|doi:10.1021/acs.cgd.3c00145
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.6084/m9.figshare.23499171
title: Bulk rock analysis.xlsx

description: Bulk chemical analysis from Vicentini, C.M. (2023).
DOI: 10.25919/maf9-3p06
title: Parkes observations for project PX500 semester 2023APRS_08

description: This proposal relates to time purchased by the Chinese Academy of Sciences for Parkes follow-up confirmation and timing of FAST discoveries. As the observing time has been purchased this proposal (and the related PX501) does not require TAC grading. The primary reason for submitting a proposal is to ensure an outreach statement and that the proposal is entered into OPAL for the data archive to access. The Chinese team have two time requests. The time scheduled for the first, relating to this proposal, will be allocated in blocks of 24 hours and the data will become available in the data archive with an 18 month embargo period. The second type of time will be scheduled in shorter blocks and the data archived with a 10 year embargo.