cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.5178754
title: Stochastic Simulation of the Suspended Sediment Deposition in the Channel with Vegetation and Its Relevance to Turbulent Kinetic Energy

description: This data deposit contains all the datasets needed to draw Figures 8 and 9 in the paper "Stochastic Simulation of the Suspended Sediment Deposition in the Channel with Vegetation and Its Relevance to Turbulent Kinetic Energy", which is now under review for potential publication in Water Resources Research.
DOI: 10.14457/mu.res.2016.49
title: การสังเคราะห์ชุดโครงการวิจัยด้านการส่งเสริมการเรียนรู้ภาษาอังกฤษ
DOI: 10.14457/mu.res.2018.57
title: บทบาทของอิมมูโนกลอบบูลินอีและมาสท์เซลล์ในพยาธิกำเนิดของโรคไข้เลือดออกเดงกี่
DOI: 10.14457/mu.res.2012.61
title: โครงการกลไกการขับเคลื่อนการปรับตัวของชุมชนต่อการเปลี่ยนแปลงสภาพภูมิอากาศ : กรณีศึกษาเปรียบเทียบเครือข่ายลุ่มน้ำปะเหลียน จังหวัดตรัง และเครือข่ายลุ่มน้ำประแส จังหวัดระยอง
DOI: 10.14457/mu.res.2018.58
title: โครงการ การสำรวจและศึกษาทุนทางวัฒนธรรมเพื่อพัฒนาเส้นทางท่องเที่ยวเชิงวัฒนธรรม ตามรอยวรรณคดีนิราศเรื่องพระประธมของสุนทรภู่ ในจังหวัดนครปฐม นนทบุรี และกรุงเทพมหานคร
DOI: 10.6073/pasta/66fa37b5e17c0360170d14a86d14f381
title: High frequency measurements from Miers Valley Meteorological Station (MISM) in Miers Valley, Antarctica from 2012 to present

description: As part of the McMurdo Dry Valleys Long Term Ecological Research program, meteorological data are collected from various locations throughout the McMurdo Dry Valleys of Antarctica. This data package contains 15-minute data from the Miers Valley Meteorological Station (MISM), located in Miers Valley.
DOI: 10.6084/m9.figshare.15145341
title: Reads used for avian microsatellite analyses

description: These data are extracted from the sequencing reads produced by B10K project, and subsequently used for microsatellite analyses.
DOI: 10.6084/m9.figshare.15145341.v1
title: Reads used for avian microsatellite analyses

description: These data are extracted from the sequencing reads produced by B10K project, and subsequently used for microsatellite analyses.
DOI: 10.6084/m9.figshare.15145413
title: Healthy_ageing_GWAS_SCHS

description: Healthy ageing GWAS meta-analysis. GWAS results from Singapore Chinese subjects. Data includes chr, rsid, pos, allele_a, allele_b (test allele), p_value, beta and se. P_value, beta and se were from meta-analysis.
DOI: 10.6084/m9.figshare.15145413.v1
title: Healthy_ageing_GWAS_SCHS

description: Healthy ageing GWAS meta-analysis. GWAS results from Singapore Chinese subjects. Data includes chr, rsid, pos, allele_a, allele_b (test allele), p_value, beta and se. P_value, beta and se were from meta-analysis.
DOI: 10.6084/m9.figshare.11770905
title: In-depth assessment of microbial communities in the full-scale vertical flow treatment wetlands fed with raw domestic wastewater

description: A multiphase study was proposed to examine microbial communities linked to the nitrogen cycle in the first stage of four full-scale French vertical flow treatment systems. To this end, denaturing gradient gel electrophoresis (DGGE) was performed for structural assessment and quantitative PCR (qPCR) to enumerate the abundance of ammonia-oxidizing (AOB). 16S rRNA sequencing was used to assess the taxonomic profile followed by putative assessment of functional genes. The samples were collected under different conditions, such as operational time (presence/absence of sludge layer on the surface of the filters), season (winter and summer), sampling depth (0, 15 and 30 cm) and operation cycle (rest and feed periods). A structural disparity was noted in the upper layers, whereas higher similarity at 30 cm was observed highlighting the effect of organic matter on bacterial diversity. The 7th rest day was highlighted by an apparent decline in the microbial community abundance. Additionally, qPCR indicated that the largest amount of AOB was found at 30 cm depth and during the feeding period. From the taxonomic profile, <i>Mycobacterium</i>, <i>Acinetobacter</i>, <i>Flavobacterium</i>, and <i>Nitrospira</i> were the most abundant genre found in all systems. The functional prediction results showed predicted genes linked to the denitrification process. The results suggested that operating time and season were responsible for the pattern of the microbial community behavior. This study allowed us to further understand the bacterial dynamics and to advance the idea of design modifications made in the first stage of the classical French system to improve nitrogen removal are promising.
DOI: 10.6084/m9.figshare.11770905.v2
title: In-depth assessment of microbial communities in the full-scale vertical flow treatment wetlands fed with raw domestic wastewater

description: A multiphase study was proposed to examine microbial communities linked to the nitrogen cycle in the first stage of four full-scale French vertical flow treatment systems. To this end, denaturing gradient gel electrophoresis (DGGE) was performed for structural assessment and quantitative PCR (qPCR) to enumerate the abundance of ammonia-oxidizing (AOB). 16S rRNA sequencing was used to assess the taxonomic profile followed by putative assessment of functional genes. The samples were collected under different conditions, such as operational time (presence/absence of sludge layer on the surface of the filters), season (winter and summer), sampling depth (0, 15 and 30 cm) and operation cycle (rest and feed periods). A structural disparity was noted in the upper layers, whereas higher similarity at 30 cm was observed highlighting the effect of organic matter on bacterial diversity. The 7th rest day was highlighted by an apparent decline in the microbial community abundance. Additionally, qPCR indicated that the largest amount of AOB was found at 30 cm depth and during the feeding period. From the taxonomic profile, <i>Mycobacterium</i>, <i>Acinetobacter</i>, <i>Flavobacterium</i>, and <i>Nitrospira</i> were the most abundant genre found in all systems. The functional prediction results showed predicted genes linked to the denitrification process. The results suggested that operating time and season were responsible for the pattern of the microbial community behavior. This study allowed us to further understand the bacterial dynamics and to advance the idea of design modifications made in the first stage of the classical French system to improve nitrogen removal are promising.
DOI: 10.6084/m9.figshare.11770905.v1
title: In-depth assessment of microbial communities in the full-scale vertical flow treatment wetlands fed with raw domestic wastewater

description: A multiphase study was proposed to examine microbial communities linked to the nitrogen cycle in the first stage of four full-scale French vertical flow treatment systems. To this end, denaturing gradient gel electrophoresis (DGGE) was performed for structural assessment and quantitative PCR (qPCR) to enumerate the abundance of ammonia-oxidizing (AOB). 16S rRNA sequencing was used to assess the taxonomic profile followed by putative assessment of functional genes. The samples were collected under different conditions, such as operational time (presence/absence of sludge layer on the surface of the filters), season (winter and summer), sampling depth (0, 15 and 30 cm) and operation cycle (rest and feed periods). A structural disparity was noted in the upper layers, whereas higher similarity at 30 cm was observed highlighting the effect of organic matter on bacterial diversity. The 7th rest day was highlighted by an apparent decline in the microbial community abundance. Additionally, qPCR indicated that the largest amount of AOB was found at 30 cm depth and during the feeding period. From the taxonomic profile, <i>Mycobacterium</i>, <i>Acinetobacter</i>, <i>Flavobacterium</i>, and <i>Nitrospira</i> were the most abundant genre found in all systems. The functional prediction results showed predicted genes linked to the denitrification process. The results suggested that operating time and season were responsible for the pattern of the microbial community behavior. This study allowed us to further understand the bacterial dynamics and to advance the idea of design modifications made in the first stage of the classical French system to improve nitrogen removal are promising.
DOI: 10.6084/m9.figshare.14518056.v2
title: Single Cell

description: Single Sell<br>
DOI: 10.6073/pasta/03345394b8c7ef5b8bdf6831fc22d5c5
title: High frequency measurements from Lake Vanda Meteorological Station (VAAM) in Wright Valley, Antarctica from 1994 to present

description: As part of the McMurdo Dry Valleys Long Term Ecological Research program, meteorological data are collected from various locations throughout the McMurdo Dry Valleys of Antarctica. This package contains 15-minute data from the Lake Vanda Meteorological Station (VAAM), located in Wright Valley. VAAM was established in 1994, during the 94/95 field season.
DOI: 10.15121/1177103
title: Analysis of Existing Data from a Distributed Acoustic Sensing Experiment at Garner Valley, California

description: In September 2013, an experiment using Distributed Acoustic Sensing (DAS) was conducted at Garner Valley, a test site of the University of California Santa Barbara (Lancelle et al., 2014). This submission includes noise cross-correlation functions (NCF) . Each file includes a NCF between two channels. The name of each channel denotes the distance in meters from starting point of the fiber-optic cable. The NCF is a time series data. The column 1 and 2 are time in seconds and dimensionless amplitude (cross correlation coefficient) respectively. Lancelle, C., N. Lord, H. Wang, D. Fratta, R. Nigbor, A. Chalari, R. Karaulanov, J. Baldwin, and E. Castongia (2014), Directivity and Sensitivity of Fiber-Optic Cable Measuring Ground Motion using a Distributed Acoustic Sensing Array (abstract # NS31C-3935), AGU Fall Meeting. https://agu.confex.com/agu/fm14/webprogram/Session1938.html The e-poster is available at: https://agu.confex.com/data/handout/agu/fm14/Paper_19828_handout_696_0.pdf
DOI: 10.15121/1177104
title: Sample Data from a Distributed Acoustic Sensing Experiment at Garner Valley, California

description: In September 2013, an experiment using Distributed Acoustic Sensing (DAS) was conducted at Garner Valley, a test site of the University of California Santa Barbara (Lancelle et al., 2014). This submission includes one 45 kN shear shaker (called "large shaker" on the basemap) test for three different measurement systems. The shaker swept from a rest, up to 10 Hz, and back down to a rest over 60 seconds. Lancelle, C., N. Lord, H. Wang, D. Fratta, R. Nigbor, A. Chalari, R. Karaulanov, J. Baldwin, and E. Castongia (2014), Directivity and Sensitivity of Fiber-Optic Cable Measuring Ground Motion using a Distributed Acoustic Sensing Array (abstract # NS31C-3935), AGU Fall Meeting. https://agu.confex.com/agu/fm14/webprogram/Paper19828.html The e-poster is available at: https://agu.confex.com/data/handout/agu/fm14/Paper_19828_handout_696_0.pdf
DOI: 10.14457/stou.the.2015.16
title: บทบาทในการเสริมสร้างวินัยนักเรียนของผู้บริหารโรงเรียนในโครงการ โรงเรียนวิถีพุทธ สังกัดสำนักงานเขตพื้นที่การศึกษาประถมศึกษา กาฬสินธุ์เขต 3
DOI: 10.14457/stou.the.2015.18
title: การพัฒนารูปแบบและเนื้อหาของเว็บไซต์ประชาสัมพันธ์เพื่อการท่องเที่ยว เชิงสร้างสรรค์ในเขตอำเภอสังขละบุรี จังหวัดกาญจนบุรี
DOI: 10.14458/dpu.the.2015.74
title: ปัญหาการนำเข้าข้อมูลคอมพิวเตอร์ปลอมหรือที่เป็นเท็จตามมาตรา 14(1) แห่งพระราชบัญญัติว่าด้วยการกระทำผิดเกี่ยวกับคอมพิวเตอร์ พ.ศ. 2550
DOI: 10.14457/stou.the.2015.84
title: การดำเนินงานการออกใบอนุญาตมีไว้ในครอบครองซึ่งวัตถุอันตราย สำนักวิจัยและพัฒนาการเกษตรเขตที่ 1-8
DOI: 10.14457/cu.res.2015.10
title: การค้นหายีนที่ควบคุมโดยโปรตีนคัลมอดุลินในการตอบสนองต่อสภาวะความเครียดจากสิ่งแวดล้อมของข้าว Oryza sativa L.
DOI: 10.14457/cu.res.2015.16
title: การพัฒนาแถบทดสอบสำเร็จรูปสาหรับตรวจติดตามระดับฮอร์โมนโพรเจสเทอโรนในน้ำนมโค
DOI: 10.14457/cu.res.2015.17
title: โปรตีนไฮโดรไลเสตจากเมล็ดผลไม้ไทยเพื่อการบำบัดโรค (ปีที่1)
DOI: 10.14457/stou.the.2015.106
title: การตรวจสอบองค์กรปกครองส่วนท้องถิ่นรูปแบบทั่วไปโดยสำนักงานการตรวจเงินแผ่นดิน
DOI: 10.12755/nrct.res.2015.203
title: การวางแผนพลังงานระดับชุมชนขององค์การปกครองส่วนท้องถิ่นในจังหวัดสุรินทร์:กรณีศึกษาบ้านหนองบึง หมู่ 12 ตำบล กระโพ อำเภอท่าตูม จังหวัดสุรินทร์ (LOCAL ENERGY PLANNING IN COMMUNITY OF LOCAL CONTROL ORGANIZATIO IN SURIN PROVINCE)
DOI: 10.6084/m9.figshare.15145604.v1
title: Additional file 1 of Ultrastructural analysis of breast cancer patient-derived organoids

description: Additional file 1: Dataset PDO.
DOI: 10.6084/m9.figshare.15145604
title: Additional file 1 of Ultrastructural analysis of breast cancer patient-derived organoids

description: Additional file 1: Dataset PDO.
DOI: 10.15121/1254458
title: BRAD BRDY and BRD1 GPS Station RINEX Files 09-17-2015

description: CSV files with links to RINEX data for stations BRAD and BRDY for all days after those reported previous (i.e., since 21-JAN-2015) Links to websites that show the position time-series of both stations.
DOI: 10.3886/e114797v1-93760
title: Replication data for: Poverty Alleviation and Child Labor

description: Poor women with children in Ecuador were selected at random for a cash transfer that is less than 20 percent of median child labor earnings. Poor families with children in school at the time of the award use the transfer to postpone the child's entry into the labor force. Students in families induced to take up the transfer by the experiment reduce paid employment by 78 percent and unpaid economic activity inside their home by 32 percent. Time in unpaid household services increases, but overall time spent working declines. (JEL I32, I38, J13, J22, J82, O12)
DOI: 10.15121/1261972
title: PoroTomo Project: Brady's Geothermal Field: GPS station deployment and data analysis

description: Brady's Field PoroTomo project. GPS station deployment and data analysis. Links to data files and website with station and time-series information
DOI: 10.6084/m9.figshare.15145637
title: Additional file 5 of Differential expression of calcium-dependent protein kinase 4, tubulin tyrosine ligase, and methyltransferase by xanthurenic acid-induced Babesia bovis sexual stages

description: Additional file 5: Table S1. Expression of B. bovis reference gene candidates during development of blood stages, sexual stages from in vitro induced parasites and tick midgut stages.
DOI: 10.6084/m9.figshare.15145637.v1
title: Additional file 5 of Differential expression of calcium-dependent protein kinase 4, tubulin tyrosine ligase, and methyltransferase by xanthurenic acid-induced Babesia bovis sexual stages

description: Additional file 5: Table S1. Expression of B. bovis reference gene candidates during development of blood stages, sexual stages from in vitro induced parasites and tick midgut stages.
DOI: 10.6084/m9.figshare.15145643
title: Additional file 7 of Differential expression of calcium-dependent protein kinase 4, tubulin tyrosine ligase, and methyltransferase by xanthurenic acid-induced Babesia bovis sexual stages

description: Additional file 7: Table S2. Expression of B. bovis genes essential for sexual stage development.
DOI: 10.6084/m9.figshare.15145643.v1
title: Additional file 7 of Differential expression of calcium-dependent protein kinase 4, tubulin tyrosine ligase, and methyltransferase by xanthurenic acid-induced Babesia bovis sexual stages

description: Additional file 7: Table S2. Expression of B. bovis genes essential for sexual stage development.
DOI: 10.6084/m9.figshare.15145646
title: Additional file 1 of Comparison of prevalence and exposure-disease associations using self-report and hospitalization data among enrollees of the world trade center health registry

description: Additional file 1: Appendix 1. ICD-9 Codes for Chronic Diseases.
DOI: 10.6084/m9.figshare.15145646.v1
title: Additional file 1 of Comparison of prevalence and exposure-disease associations using self-report and hospitalization data among enrollees of the world trade center health registry

description: Additional file 1: Appendix 1. ICD-9 Codes for Chronic Diseases.
DOI: 10.6084/m9.figshare.15145695
title: Additional file 2 of Decoding distinctive features of plasma extracellular vesicles in amyotrophic lateral sclerosis

description: Additional file 2.
DOI: 10.6084/m9.figshare.15145695.v1
title: Additional file 2 of Decoding distinctive features of plasma extracellular vesicles in amyotrophic lateral sclerosis

description: Additional file 2.
DOI: 10.6084/m9.figshare.15145658
title: Additional file 10 of SCAPTURE: a deep learning-embedded pipeline that captures polyadenylation information from 3′ tag-based RNA-seq of single cells

description: Additional file 10: Table S9. Gene expression of cell markers in integrated six PBMC scRNA-seq datasets from 10x Genomics. a, gene expression of markers of natural killer cells and dendritic cells. b, gene expression of all collected markers of twelve classified and one unassigned cell types (Related Fig. 4 g and S9D).
DOI: 10.6084/m9.figshare.15145661
title: Additional file 11 of SCAPTURE: a deep learning-embedded pipeline that captures polyadenylation information from 3′ tag-based RNA-seq of single cells

description: Additional file 11: Table S10. List of barcode, sample and cell type information of each single cell by DGE and DTE analyses in PBMC scRNA-seq datasets from healthy individuals and COVID-19 patients [32]. (Related Fig. 5 and S10).
DOI: 10.6084/m9.figshare.15145667
title: Additional file 13 of SCAPTURE: a deep learning-embedded pipeline that captures polyadenylation information from 3′ tag-based RNA-seq of single cells

description: Additional file 13:. Statistical source data of all figures and supplementary figures.
DOI: 10.6084/m9.figshare.15145658.v1
title: Additional file 10 of SCAPTURE: a deep learning-embedded pipeline that captures polyadenylation information from 3′ tag-based RNA-seq of single cells

description: Additional file 10: Table S9. Gene expression of cell markers in integrated six PBMC scRNA-seq datasets from 10x Genomics. a, gene expression of markers of natural killer cells and dendritic cells. b, gene expression of all collected markers of twelve classified and one unassigned cell types (Related Fig. 4 g and S9D).
DOI: 10.6084/m9.figshare.15145661.v1
title: Additional file 11 of SCAPTURE: a deep learning-embedded pipeline that captures polyadenylation information from 3′ tag-based RNA-seq of single cells

description: Additional file 11: Table S10. List of barcode, sample and cell type information of each single cell by DGE and DTE analyses in PBMC scRNA-seq datasets from healthy individuals and COVID-19 patients [32]. (Related Fig. 5 and S10).
DOI: 10.6084/m9.figshare.15145664
title: Additional file 12 of SCAPTURE: a deep learning-embedded pipeline that captures polyadenylation information from 3′ tag-based RNA-seq of single cells

description: Additional file 12: Table S11. GO terms of altered PAS usage between healthy individuals and COVID-19 patients in each immune cell type of PBMCs (Related Fig. S10B).
DOI: 10.6084/m9.figshare.15145664.v1
title: Additional file 12 of SCAPTURE: a deep learning-embedded pipeline that captures polyadenylation information from 3′ tag-based RNA-seq of single cells

description: Additional file 12: Table S11. GO terms of altered PAS usage between healthy individuals and COVID-19 patients in each immune cell type of PBMCs (Related Fig. S10B).
DOI: 10.6084/m9.figshare.15145667.v1
title: Additional file 13 of SCAPTURE: a deep learning-embedded pipeline that captures polyadenylation information from 3′ tag-based RNA-seq of single cells

description: Additional file 13:. Statistical source data of all figures and supplementary figures.
DOI: 10.6084/m9.figshare.15145676
title: Additional file 2 of SCAPTURE: a deep learning-embedded pipeline that captures polyadenylation information from 3′ tag-based RNA-seq of single cells

description: Additional file 2: Table S1. List of collected known PASs. The known PASs in at least two of three (PolyA_DB3, PolyA-Seq or PolySite 2.0) databases or in the GENCODE (v35) annotation were labeled. And the stringent PASs annotated in all three databases or in the GENCODE (v35) annotation were also labeled. (Related Fig. 2A and S2A).
DOI: 10.6084/m9.figshare.15145676.v1
title: Additional file 2 of SCAPTURE: a deep learning-embedded pipeline that captures polyadenylation information from 3′ tag-based RNA-seq of single cells

description: Additional file 2: Table S1. List of collected known PASs. The known PASs in at least two of three (PolyA_DB3, PolyA-Seq or PolySite 2.0) databases or in the GENCODE (v35) annotation were labeled. And the stringent PASs annotated in all three databases or in the GENCODE (v35) annotation were also labeled. (Related Fig. 2A and S2A).
DOI: 10.6084/m9.figshare.15145679
title: Additional file 3 of SCAPTURE: a deep learning-embedded pipeline that captures polyadenylation information from 3′ tag-based RNA-seq of single cells

description: Additional file 3: Table S2. List of called peaks and filtered PASs by SCAPTURE with aggregating six PBMC scRNA-seq datasets from 10x Genomics. The information of PAS filtering by DeepPASS and overlapping with known PASs are labeled. a, aggregated exonic PASs. b, aggregated intronic PASs. (Related Fig. 3a, S4B and S5C).
DOI: 10.6084/m9.figshare.15145679.v1
title: Additional file 3 of SCAPTURE: a deep learning-embedded pipeline that captures polyadenylation information from 3′ tag-based RNA-seq of single cells

description: Additional file 3: Table S2. List of called peaks and filtered PASs by SCAPTURE with aggregating six PBMC scRNA-seq datasets from 10x Genomics. The information of PAS filtering by DeepPASS and overlapping with known PASs are labeled. a, aggregated exonic PASs. b, aggregated intronic PASs. (Related Fig. 3a, S4B and S5C).
DOI: 10.6084/m9.figshare.15145682
title: Additional file 4 of SCAPTURE: a deep learning-embedded pipeline that captures polyadenylation information from 3′ tag-based RNA-seq of single cells

description: Additional file 4: Table S3. List of experimentally validated PASs. a, list of primers for PCR validation. b, detailed identification of validated PASs for SCAPTURE, Sierra and scAPA. (Related Fig. 3d, S5H and S6D).
DOI: 10.6084/m9.figshare.15145682.v1
title: Additional file 4 of SCAPTURE: a deep learning-embedded pipeline that captures polyadenylation information from 3′ tag-based RNA-seq of single cells

description: Additional file 4: Table S3. List of experimentally validated PASs. a, list of primers for PCR validation. b, detailed identification of validated PASs for SCAPTURE, Sierra and scAPA. (Related Fig. 3d, S5H and S6D).
DOI: 10.6084/m9.figshare.15145685
title: Additional file 5 of SCAPTURE: a deep learning-embedded pipeline that captures polyadenylation information from 3′ tag-based RNA-seq of single cells

description: Additional file 5: Table S4. List of exonic PASs identified by SCAPTURE in six PBMC scRNA-seq datasets from 10x Genomics. SCAPTURE-identified exonic PASs in each PBMC sample were individually listed. (Related Fig. S4A).
DOI: 10.6084/m9.figshare.15145688
title: Additional file 6 of SCAPTURE: a deep learning-embedded pipeline that captures polyadenylation information from 3′ tag-based RNA-seq of single cells

description: Additional file 6: Table S5. List of intronic PASs identified by SCAPTURE in six PBMC scRNA-seq datasets from 10x Genomics. SCAPTURE-identified intronic PASs in each PBMC sample were individually listed. (Related Fig. S5B).
DOI: 10.6084/m9.figshare.15145691.v1
title: Additional file 7 of SCAPTURE: a deep learning-embedded pipeline that captures polyadenylation information from 3′ tag-based RNA-seq of single cells

description: Additional file 7: Table S6. List of PASs identified by Sierra in six PBMC scRNA-seq datasets from 10x Genomics. Sierra-identified exonic and intronic PASs in each PBMC dataset were individually listed. (Related Fig. 3d and S6C).