cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.6423382
title: A spatio-temporal dataset on food flows for four West African cities

description: Gaining insight into the food sourcing practices of cities is important to understand their resilience to climate change, economic crisis, as well as pandemics affecting food supply and security. To fill existing knowledge gaps in this area food flow data were collected in West Africa for four cities - Bamako (Mali), Bamenda (Cameroon), Ouagadougou (Burkina Faso), and Tamale (Ghana). The data covers, depending on the city, road, rail, boat, and air traffic. Surveys were conducted for one week on average during the peak harvest, lean, and rainy seasons, resulting in a dataset of over 100,000 entries for 46 unprocessed food commodities. The data collected includes information on the key types of transportation used, and quantity, source, and destination of the food flows. The data were used to delineate urban foodsheds and to identify city-specific factors constraining rural-urban linkages. They can be used to inform academic and policy discussions on urban food system sustainability, to validate other datasets, and to plan humanitarian aid and food security interventions. Workflow and supplementary information associated with this dataset are found on GitHub (https://zenodo.org/record/7813686#.ZDQmKvbP23A). The data paper provides information on how data were collected and processed as well as how to use the data (https://www.nature.com/articles/s41597-023-02163-6): Karg, H., Akoto-Danso, E.K., Amprako, L. <em>et al.</em> A spatio-temporal dataset on food flows for four West African cities. <em>Sci Data</em> <strong>10</strong>, 263 (2023). https://doi.org/10.1038/s41597-023-02163-6
DOI: 10.5281/zenodo.6423381
title: A spatio-temporal dataset on food flows for four West African cities

description: Gaining insight into the food sourcing practices of cities is important to understand their resilience to climate change, economic crisis, as well as pandemics affecting food supply and security. To fill existing knowledge gaps in this area food flow data were collected in West Africa for four cities - Bamako (Mali), Bamenda (Cameroon), Ouagadougou (Burkina Faso), and Tamale (Ghana). The data covers, depending on the city, road, rail, boat, and air traffic. Surveys were conducted for one week on average during the peak harvest, lean, and rainy seasons, resulting in a dataset of over 100,000 entries for 46 unprocessed food commodities. The data collected includes information on the key types of transportation used, and quantity, source, and destination of the food flows. The data were used to delineate urban foodsheds and to identify city-specific factors constraining rural-urban linkages. They can be used to inform academic and policy discussions on urban food system sustainability, to validate other datasets, and to plan humanitarian aid and food security interventions. Workflow and supplementary information associated with this dataset are found on GitHub (https://zenodo.org/record/7813686#.ZDQmKvbP23A). The data paper provides information on how data were collected and processed as well as how to use the data (https://www.nature.com/articles/s41597-023-02163-6): Karg, H., Akoto-Danso, E.K., Amprako, L. <em>et al.</em> A spatio-temporal dataset on food flows for four West African cities. <em>Sci Data</em> <strong>10</strong>, 263 (2023). https://doi.org/10.1038/s41597-023-02163-6
DOI: 10.5281/zenodo.7934551
title: ceratonia_siliqua_spades_01.fasta.gz

description: .
DOI: 10.5281/zenodo.7934550
title: ceratonia_siliqua_spades_01.fasta.gz

description: .
DOI: 10.34740/kaggle/dsv/5682934
title: COVID Vaccination in World (updated daily)
DOI: 10.6084/m9.figshare.22817432
title: Doctoral thesis-Mengqi Wang-Chapter 2

description: <strong>Supplemental Table S1</strong>: Sample information <strong>Supplemental Table S2</strong>: Primers of select genes for RT-qPCR analysis <strong>Supplemental Table S3</strong>: Sequencing and read statistics <strong>Supplemental Table S4</strong>: Differentially expressed genes identified between <em>S. aureus</em>-positive and control groups. <strong>Supplemental Table S5</strong>: Functional enrichment for differentially expressed genes. <strong>Supplemental Table S6</strong>: Genes subjected to weighted gene co-expression network analysis. <strong>Supplemental Table S7</strong>: Functional enrichment for genes of each module related to <em>S. aureus</em> infection. <strong>Supplemental Table S8</strong>: Immune-related genes identified from turquoise module and enrichment in multiple GO terms and/or KEGG pathways with immune or disease functions.
DOI: 10.6084/m9.figshare.22817432.v1
title: Doctoral thesis-Mengqi Wang-<strong>Chapter 2</strong>

description: <strong>Supplemental Table S1</strong>: Sample information <strong>Supplemental Table S2</strong>: Primers of select genes for RT-qPCR analysis <strong>Supplemental Table S3</strong>: Sequencing and read statistics <strong>Supplemental Table S4</strong>: Differentially expressed genes identified between <em>S. aureus</em>-positive and control groups. <strong>Supplemental Table S5</strong>: Functional enrichment for differentially expressed genes. <strong>Supplemental Table S6</strong>: Genes subjected to weighted gene co-expression network analysis. <strong>Supplemental Table S7</strong>: Functional enrichment for genes of each module related to <em>S. aureus</em> infection. <strong>Supplemental Table S8</strong>: Immune-related genes identified from turquoise module and enrichment in multiple GO terms and/or KEGG pathways with immune or disease functions.
DOI: 10.6084/m9.figshare.22817432.v2
title: Doctoral thesis-Mengqi Wang-Chapter 2

description: <strong>Supplemental Table S1</strong>: Sample information <strong>Supplemental Table S2</strong>: Primers of select genes for RT-qPCR analysis <strong>Supplemental Table S3</strong>: Sequencing and read statistics <strong>Supplemental Table S4</strong>: Differentially expressed genes identified between <em>S. aureus</em>-positive and control groups. <strong>Supplemental Table S5</strong>: Functional enrichment for differentially expressed genes. <strong>Supplemental Table S6</strong>: Genes subjected to weighted gene co-expression network analysis. <strong>Supplemental Table S7</strong>: Functional enrichment for genes of each module related to <em>S. aureus</em> infection. <strong>Supplemental Table S8</strong>: Immune-related genes identified from turquoise module and enrichment in multiple GO terms and/or KEGG pathways with immune or disease functions.
DOI: 10.5281/zenodo.7934164
title: Produced Data of Naive Bayes Sentiment Classifier

description: This is the data produced by the running of the Naive Bayes classifier algorithm. It is a list of every word in the vocabulary of the classifier, as well as the number of occurrences of each word, as well as the likelihood ratio of this word. Please note the likelihood ratio is calculated by taking the likelihood of word given a positive label divided by the likelihood of a word given a negative label. This data is licensed under the CC BY 4.0 international license, and may be taken and used freely with credit given. This data was produced by two different datasets, using a Naive Bayes classifier. These datasets were the Polarity Review v2.0 dataset from Cornell, and the Large Movie Review Dataset from Stanford.
DOI: 10.5281/zenodo.7934163
title: Produced Data of Naive Bayes Sentiment Classifier

description: This is the data produced by the running of the Naive Bayes classifier algorithm. It is a list of every word in the vocabulary of the classifier, as well as the number of occurrences of each word, as well as the likelihood ratio of this word. Please note the likelihood ratio is calculated by taking the likelihood of word given a positive label divided by the likelihood of a word given a negative label. This data is licensed under the CC BY 4.0 international license, and may be taken and used freely with credit given. This data was produced by two different datasets, using a Naive Bayes classifier. These datasets were the Polarity Review v2.0 dataset from Cornell, and the Large Movie Review Dataset from Stanford.
DOI: 10.5281/zenodo.7934635
title: DBPedia CCER embeddings

description: The DBPedia dataset for Clean-Clean Entity Resolution transformed in various language models.
DOI: 10.5281/zenodo.7934634
title: DBPedia CCER embeddings

description: The DBPedia dataset for Clean-Clean Entity Resolution transformed in various language models.
DOI: 10.15151/esrf-es-1201824679
title: structural characterization of the CBC PHAX RNA complex

description: The nuclear cap-binding complex (CBC) binds to the 5' cap of nascent Pol II transcripts and co-ordinates their co-transcriptional maturation, transport or degradation. CBC with its partner PHAX form a mutually exclusive complex antagonizing diverse ‘classifier’ factors that promote either a productive or a degradative outcome. Using the AlphaFold-DB prediction of isolated PHAX (AF-Q9H814) and sequence alignments and biochemical assays, we identified conserved residues potentially lying within a minimal CBC binding region. We aim to challenge our hypothesis by obtaining a 3D structure of the CBC-PHAX-RNA complex, to inform on the critical co-transcriptional RNA fate determination process.
DOI: 10.5519/qd.m142q515
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (5538491 records)
DOI: 10.5281/zenodo.6509677
title: Archival bundle of the data used for "A 2-phase Strategy For Intelligent Cloud Operations"

description: This archive contains the data used for the paper <strong>A 2-phase Strategy For Intelligent Cloud Operations</strong><br> Giacomo Lanciano*, Remo Andreoli, Tommaso Cucinotta, Davide Bacciu, Andrea Passarella Follow the instructions provided in the companion repo to automatically download and decompress the archive. The following files are included: <strong>File</strong> <strong>Description</strong> amphora-x64-haproxy.qcow2 Image used to create Octavia amphorae distwalk-disk-load-&lt;INCREMENTAL-ID&gt;/ distwalk runs data FINAL-rl3-*/ Cassandra runs data model_dumps/* Dumps of the models used for the validation test_load_disk_01-2tpi.dat distwalk load trace used to generate the workload ubuntu-20.04-server-distwalk-683d9e7.img Image used to create Nova instances for the scaling group * <em>contact author</em>
DOI: 10.5281/zenodo.6509678
title: Archival bundle of the data used for "A 2-phase Strategy For Intelligent Cloud Operations"

description: This archive contains the data used for the paper <strong>A 2-phase Strategy For Intelligent Cloud Operations</strong><br> Giacomo Lanciano*, Tommaso Cucinotta, Davide Bacciu, Andrea Passarella Follow the instructions provided in the companion repo to automatically download and decompress the archive. The following files are included: <strong>File</strong> <strong>Description</strong> amphora-x64-haproxy.qcow2 Image used to create Octavia amphorae distwalk-{fault,stress}-&lt;INCREMENTAL-ID&gt;.csv distwalk run data, used to train corrective actions classifier distwalk-{fault,stress}-&lt;INCREMENTAL-ID&gt;.log distwalk run log distwalk-{fault,stress}-&lt;INCREMENTAL-ID&gt;-real.json Metric data exported from Monasca DB distwalk-{fault,stress}-&lt;INCREMENTAL-ID&gt;-times.csv Client-side response time for each request sent during a run model_dumps/* Dumps of the models used for the validation train_super_steep_behavior.csv Dataset used to train the anomaly detection model test_load_*.dat distwalk load trace test_stress_*.dat Traces used to inject anomalies during distwalk runs ubuntu-20.04-min-distwalk-4ca3b54.img Image used to create Nova instances for the scaling group * <em>contact author</em>
DOI: 10.5281/zenodo.7934656
title: Archival bundle of the data used for "A 2-phase Strategy For Intelligent Cloud Operations"

description: This archive contains the data used for the paper <strong>A 2-phase Strategy For Intelligent Cloud Operations</strong><br> Giacomo Lanciano*, Remo Andreoli, Tommaso Cucinotta, Davide Bacciu, Andrea Passarella Follow the instructions provided in the companion repo to automatically download and decompress the archive. The following files are included: <strong>File</strong> <strong>Description</strong> amphora-x64-haproxy.qcow2 Image used to create Octavia amphorae distwalk-disk-load-&lt;INCREMENTAL-ID&gt;/ distwalk runs data FINAL-rl3-*/ Cassandra runs data model_dumps/* Dumps of the models used for the validation test_load_disk_01-2tpi.dat distwalk load trace used to generate the workload ubuntu-20.04-server-distwalk-683d9e7.img Image used to create Nova instances for the scaling group * <em>contact author</em>
DOI: 10.6084/m9.figshare.22817513
title: Immune system and tumor microenvironment in early-stage breast cancer: different mechanisms for early recurrence after mastectomy and chemotherapy on ductal and lobular types

description: This is raw data for manuscript submitted to f1000research entitled:Immune system and tumor microenvironment in early-stage breast cancer: different mechanisms for early recurrence after mastectomy and chemotherapy on ductal and lobular types
DOI: 10.6084/m9.figshare.22817513.v1
title: Immune system and tumor microenvironment in early-stage breast cancer: different mechanisms for early recurrence after mastectomy and chemotherapy on ductal and lobular types

description: This is raw data for manuscript submitted to f1000research entitled:Immune system and tumor microenvironment in early-stage breast cancer: different mechanisms for early recurrence after mastectomy and chemotherapy on ductal and lobular types
DOI: 10.34740/kaggle/dsv/5683435
title: 🇺🇦 Ukraine Conflict Twitter Dataset
DOI: 10.6084/m9.figshare.22817522
title: Supplementary Tables for "Systematic study of high field strength elements during liquid immiscibility between carbonatitic melt and silicate melt".

description: Table S1, Major and trace element compositions of the starting material. Table S2. Summary of the experimental conditions and run products. Table S3. Major and trace elements of the quenched carbonatite melts).Table S4. Major and trace elements of the silicate liquid. Table S5. Calculated partition coefficients for major and trace elements between carbonatitic melt and silicate melt. Table S6. Calculated coefficients and associated errors used for the modelling.
DOI: 10.6084/m9.figshare.22817522.v1
title: Supplementary Tables for "Systematic study of high field strength elements during liquid immiscibility between carbonatitic melt and silicate melt".

description: Table S1, Major and trace element compositions of the starting material. Table S2. Summary of the experimental conditions and run products. Table S3. Major and trace elements of the quenched carbonatite melts).Table S4. Major and trace elements of the silicate liquid. Table S5. Calculated partition coefficients for major and trace elements between carbonatitic melt and silicate melt. Table S6. Calculated coefficients and associated errors used for the modelling.
DOI: 10.34740/kaggle/dsv/5683504
title: 🇺🇦 Ukraine Conflict Twitter Dataset
DOI: 10.6084/m9.figshare.20391117.v3
title: Global fractional urban changes at 1km under diverse SSP-RCP scenarios throughout 2100

description: We developed a gridded global proportional urban extent dataset (2015-2100, 5-year interval) at 1km spatial resolution under various future development pathways. Unlike the commonly used binary (0-non-urban, 1-urban) urban products, this dataset provides the fractional information (i.e., ISA from 0 to 1) within each 1km pixel. Here, each .zip file represents one of eight scenarios, containing 17 GEOTIFF files (2015-2100, 5-year interval), which can be opened by ArcMap or QGIS. The developed global spatially explicit map of urban development probability is also available in GEOTIFF format. Questions about this dataset can be emailed to Prof. Xuecao Li (xuecaoli@cau.edu.cn)
DOI: 10.6084/m9.figshare.22817474.v1
title: Doctoral thesis-Mengqi Wang-Chapter 3

description: <strong>Supplemental Table S1</strong> Detail information on cows selected for whole genome DNA methylation sequencing. <strong>Supplemental Table S2</strong> General statistics on whole genome DNA methylation sequencing read statistics <strong>Supplemental Table S3</strong> Comparisons of methylation level between cows with <em>S. aureus </em>subclinical mastitis and healthy control cows at a scope of the whole genome, chromosomes and gene features. <strong>Supplemental Table S4</strong> List of differentially methylated cytosines in the context of CpG <strong>Supplemental Table S5</strong> List of differentially methylated cytosines in the context of CHG and CHH <strong>Supplemental Table S6</strong> Distribution of differentially methylated cytosines among chromosomes and genetic features <strong>Supplemental Table S7</strong> Count of differentially methylated cytosines (DMCs) in the context of CpG, CHG and CHH in different gene features per gene <strong>Supplemental Table S8</strong> Functional enrichment of differentially expressed genes harboring differentially methylated cytosines at different genomic functional regions <strong>Supplemental Table S9</strong> Predicted methylation level for LINE-1 and tRNA-derived SINEs and comparisons between cows with <em>S. aureus </em>subclinical mastitis and healthy control cows <strong>Supplemental Table S10</strong> Differential methylation haplotype blocks and their colocation with QTLs related to mastitis and immune capacity <strong>Supplemental Table S11</strong> Differential genes with significant changes in general methylation level of regulatory regions and gene expression changes <strong>Supplemental Table S12</strong> Functional enrichment for differential genes with significant changes in general methylation level of regulatory regions and gene expression changes <strong>Supplemental Table S13</strong> Correlation between dMHBs located at regulatory regions and their overlapped differentially expressed genes <strong>Supplemental Table S14</strong> Motif enrichment and identification in GE-dMHBs <strong>Supplemental Table S15</strong> Functional enrichment for GE-dMHBs (dMHBs overlapped with genes and significantly correlated with the expression of corresponding genes) <strong>Supplemental Table S16</strong> Candidate discriminate signatures selected from GE-dMHBs (pro-GE-dMHBs) and their overlapped genes <strong>Supplemental Table S17</strong> Information about samples and primers used for TBAS and results of seven GE-dMHBs analyzed in 200 cows
DOI: 10.5281/zenodo.7934714
title: Worldwide CO2 emissions and natural disasters from 1960 to 2021

description: A CSV file containing worldwide CO2 emissions as well as the number of natural disasters per year. Sources: Global Carbon Atlas DOI: http://doi.org/10.17616/R3434K URL: http://www.globalcarbonatlas.org/en/CO2-emissions Last accessed: 2023-05-09 EM-DAT DOI: http://doi.org/10.17616/R3QQ1X URL: https://public.emdat.be/data (registration necessary) Last accessed: 2023-05-14 GitHub Project DOI: http://doi.org/10.5281/zenodo.7934702 URL: https://github.com/jkopec/global-emission-and-disaster-analysis
DOI: 10.5281/zenodo.7934713
title: Worldwide CO2 emissions and natural disasters from 1960 to 2021

description: A CSV file containing worldwide CO2 emissions as well as the number of natural disasters per year. Sources: Global Carbon Atlas DOI: http://doi.org/10.17616/R3434K URL: http://www.globalcarbonatlas.org/en/CO2-emissions Last accessed: 2023-05-09 EM-DAT DOI: http://doi.org/10.17616/R3QQ1X URL: https://public.emdat.be/data (registration necessary) Last accessed: 2023-05-14 GitHub Project DOI: http://doi.org/10.5281/zenodo.7934702 URL: https://github.com/jkopec/global-emission-and-disaster-analysis
DOI: 10.6084/m9.figshare.22817507
title: Doctoral thesis-Mengqi Wang-Chapter 4-removed

description: <strong>Table S1</strong>: General whole genome DNA methylation sequence statistics per sample; <strong>Table S2</strong>: Comparisons of methylation levels of cytosine sites in the context of CpG, CHG and CHH at different genic structures and genomic regions between SCP and HC groups; <strong>Table S3</strong>: List of differentially methylated cytosine sites in the context of CpG; <strong>Table S4</strong>: List of differentially methylated cytosine sites in the context of CHG and CHH; <strong>Table S5</strong>: The distribution of differentially methylated cytosine sites among chromosomes and genic structures; <strong>Table S6</strong>: List of differentially methylated regions identified based on CpG sites; <strong>Table S7</strong>: The distribution of DMCs in genes and the functional enrichment for genes that harbored DMCs; <strong>Table S8</strong>: List of differentially methylated methylation haplotype blocks; <strong>Table S9</strong>: Functional enrichment for genes harboring dMHBs in their promoters, first exons and/or first introns; <strong>Table S10</strong>: List of identified differentially methylated and expressed genes (DMEGs); <strong>Table S11</strong>: Functional enrichment for DMEGs; <strong>Table S12</strong>: Candidate discriminate signatures of SC mastitis selected by sPLS-DA and DIABLO; <strong>Table S13</strong>: Sample information and results of target bisulfite amplicon sequencing for two dMHBs discriminate signatures in a larger sample size; <strong>Table S14</strong>: Information on cows used
DOI: 10.6084/m9.figshare.22817507.v2
title: Doctoral thesis-Mengqi Wang-Chapter 4-removed

description: <strong>Table S1</strong>: General whole genome DNA methylation sequence statistics per sample; <strong>Table S2</strong>: Comparisons of methylation levels of cytosine sites in the context of CpG, CHG and CHH at different genic structures and genomic regions between SCP and HC groups; <strong>Table S3</strong>: List of differentially methylated cytosine sites in the context of CpG; <strong>Table S4</strong>: List of differentially methylated cytosine sites in the context of CHG and CHH; <strong>Table S5</strong>: The distribution of differentially methylated cytosine sites among chromosomes and genic structures; <strong>Table S6</strong>: List of differentially methylated regions identified based on CpG sites; <strong>Table S7</strong>: The distribution of DMCs in genes and the functional enrichment for genes that harbored DMCs; <strong>Table S8</strong>: List of differentially methylated methylation haplotype blocks; <strong>Table S9</strong>: Functional enrichment for genes harboring dMHBs in their promoters, first exons and/or first introns; <strong>Table S10</strong>: List of identified differentially methylated and expressed genes (DMEGs); <strong>Table S11</strong>: Functional enrichment for DMEGs; <strong>Table S12</strong>: Candidate discriminate signatures of SC mastitis selected by sPLS-DA and DIABLO; <strong>Table S13</strong>: Sample information and results of target bisulfite amplicon sequencing for two dMHBs discriminate signatures in a larger sample size; <strong>Table S14</strong>: Information on cows used