cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.19801630.v1
title: Supplementary Material for: Early Physiological and Adrenal Effects of Budesonide Mixed with Surfactant in Large Observational Preterm Cohort Study

description: <b><i>Background:</i></b> The combination of surfactant and budesonide has been shown to decrease BPD rates and severity. Budesonide may be released systemically from lungs, and the effects on the immature adrenal glands are not known. <b><i>Objective:</i></b> The aim of this study was to determine if adrenal suppression rates are higher in preterm infants receiving budesonide with surfactant compared to surfactant alone. <b><i>Methods:</i></b> A retrospective chart review of 608 infants ≤1,250 g received intubation for surfactant therapy from 2013 through 2020. In August 2016, budesonide was added to surfactant for these infants. Indicators of adrenal suppression, including mean blood pressures, plasma electrolyte levels, hydrocortisone use, and the use of vasoactive medications, were analyzed for the first 14 days after birth. Respiratory variables, biochemical signs of adrenal insufficiency, and neonatal morbidities were analyzed. <b><i>Results:</i></b> There was no difference in hydrocortisone administration in the first 14 days between infants receiving budesonide with surfactant (<i>n</i> = 314) or surfactant alone (<i>n</i> = 294) (23% vs. 19%, <i>p</i> = 0.38). Budesonide exposed infants received hydrocortisone 3 days later than surfactant only infants (median DOL 5 vs. 2, <i>p</i> &lt; 0.001). Infants receiving budesonide had higher blood pressures, required less dopamine (19% vs. 39%, <i>p</i> &lt; 0.001) and dobutamine (2% vs. 6%, <i>p</i> = 0.02). Budesonide exposed infants were discharged home after a shorter NICU stay (85 days vs. 94 days, <i>p</i> = 0.02) and at a younger gestational age (39 vs. 40 weeks, <i>p</i> = 0.001). <b><i>Conclusions:</i></b> The use of surfactant and budesonide does not alter the rate of hydrocortisone use, but does delay the timing of treatment initiation and decreases the use of vasoactive medications.
DOI: 10.6084/m9.figshare.19447585
title: Influences of aerosols and thin cirrus clouds on GOSAT XCO<sub>2</sub> and XCH<sub>4</sub> using Total Carbon Column Observing Network, sky radiometer, and lidar data

description: The column-averaged, dry air mole fractions of CO<sub>2</sub> and CH<sub>4</sub> (XCO<sub>2</sub> and XCH<sub>4</sub>, respectively) were retrieved from short-wavelength infrared (SWIR) spectra observed by the Greenhouse gases Observing SATellite (GOSAT). Continuous measurements of SWIR spectra have been made via GOSAT since 2009, but there has been insufficient investigation of the effects of cirrus clouds and aerosols on the observations. In this work, we investigated the influences of aerosols and cirrus clouds on the differences between GOSAT observations and Total Carbon Column Observing Network (TCCON) data for XCO<sub>2</sub> and XCH<sub>4</sub> (ΔXCO<sub>2</sub> and ΔXCH<sub>4</sub>) at three sites: Tsukuba and Saga in Japan, and Lauder in New Zealand. We used aerosol optical thickness (AOT), Angstrom exponents (AEs), and single scattering albedo (SSA), all obtained from sky radiometer observations, as well as vertical profiles of aerosols and thin cirrus clouds from lidar observations. Matchups were performed within ±0.1° latitude/longitude rectangular areas of each TCCON site, and within 30 min of the GOSAT overpass time. The results show a negative slope between ΔXCO<sub>2</sub> and AOT at 500 nm determined from sky radiometer data at Tsukuba and Saga. The GOSAT XCO<sub>2</sub> values tended to be lowered in the presence of cirrus clouds and dense boundary-layer aerosols. Moreover, a significant negative ΔXCO<sub>2</sub> was observed at times of large AOTs that resulted from dust-like events. At Lauder, ΔXCO<sub>2</sub> was negatively correlated with the AOT at 500 nm, although the AOT at this site was generally small. The mean ± standard deviation for ΔXCO<sub>2</sub> and ΔXCH<sub>4</sub> at Lauder are −0.80 ± 1.83 (ppm) and −5.27 ± 10.79 (ppb) with correlation coefficients <i>r</i> between GOSAT and TCCON of 0.94 and 0.83, respectively. Both ΔXCO<sub>2</sub> and ΔXCH<sub>4</sub> were significantly and negatively correlated with the AOT during Sep-Oct-Nov. In addition, stratospheric aerosols caused large negative biases of ΔXCO<sub>2</sub> and ΔXCH<sub>4</sub> at Lauder despite the small stratospheric aerosol optical depth at that site.
DOI: 10.6084/m9.figshare.19447585.v1
title: Influences of aerosols and thin cirrus clouds on GOSAT XCO<sub>2</sub> and XCH<sub>4</sub> using Total Carbon Column Observing Network, sky radiometer, and lidar data

description: The column-averaged, dry air mole fractions of CO<sub>2</sub> and CH<sub>4</sub> (XCO<sub>2</sub> and XCH<sub>4</sub>, respectively) were retrieved from short-wavelength infrared (SWIR) spectra observed by the Greenhouse gases Observing SATellite (GOSAT). Continuous measurements of SWIR spectra have been made via GOSAT since 2009, but there has been insufficient investigation of the effects of cirrus clouds and aerosols on the observations. In this work, we investigated the influences of aerosols and cirrus clouds on the differences between GOSAT observations and Total Carbon Column Observing Network (TCCON) data for XCO<sub>2</sub> and XCH<sub>4</sub> (ΔXCO<sub>2</sub> and ΔXCH<sub>4</sub>) at three sites: Tsukuba and Saga in Japan, and Lauder in New Zealand. We used aerosol optical thickness (AOT), Angstrom exponents (AEs), and single scattering albedo (SSA), all obtained from sky radiometer observations, as well as vertical profiles of aerosols and thin cirrus clouds from lidar observations. Matchups were performed within ±0.1° latitude/longitude rectangular areas of each TCCON site, and within 30 min of the GOSAT overpass time. The results show a negative slope between ΔXCO<sub>2</sub> and AOT at 500 nm determined from sky radiometer data at Tsukuba and Saga. The GOSAT XCO<sub>2</sub> values tended to be lowered in the presence of cirrus clouds and dense boundary-layer aerosols. Moreover, a significant negative ΔXCO<sub>2</sub> was observed at times of large AOTs that resulted from dust-like events. At Lauder, ΔXCO<sub>2</sub> was negatively correlated with the AOT at 500 nm, although the AOT at this site was generally small. The mean ± standard deviation for ΔXCO<sub>2</sub> and ΔXCH<sub>4</sub> at Lauder are −0.80 ± 1.83 (ppm) and −5.27 ± 10.79 (ppb) with correlation coefficients <i>r</i> between GOSAT and TCCON of 0.94 and 0.83, respectively. Both ΔXCO<sub>2</sub> and ΔXCH<sub>4</sub> were significantly and negatively correlated with the AOT during Sep-Oct-Nov. In addition, stratospheric aerosols caused large negative biases of ΔXCO<sub>2</sub> and ΔXCH<sub>4</sub> at Lauder despite the small stratospheric aerosol optical depth at that site.
DOI: 10.6084/m9.figshare.19801684
title: Supplementary Material for: Development and Validation of a Mortality Prediction Model in Extremely Low Gestational Age Neonates

description: <b><i>Introduction:</i></b> Understanding factors that associate with neonatal death may lead to strategies or interventions that can aid clinicians and inform families. <b><i>Objective:</i></b> The aim of the study was to develop an early prediction model of neonatal death in extremely low gestational age (ELGA, &lt;28 weeks) neonates. <b><i>Methods:</i></b> A predictive cohort study of ELGA neonates was derived from the Swedish Neonatal Quality Register between the years 2011 to May 2021. The goal was to use readily available clinical variables, collected within the first hour of birth, to predict in-hospital death. Data were split into a train cohort (80%) to build the model and tested in 20% of randomly selected neonates. Model performance was assessed via area under the receiver operating characteristic curve (AUC) and compared to validated mortality prediction models and an external cohort of neonates. <b><i>Results:</i></b> Among 3,752 live-born extremely preterm infants (46% girls), in-hospital mortality was 18% (<i>n</i> = 685). The median gestational age and birth weight were 25.0 weeks (interquartile range [IQR] 24.0, 27.0) and 780 g (IQR 620, 940), respectively. The proposed model consisted of three variables: birth weight (grams), <i>A</i>pgar score at 5 min of age, and <i>g</i>estational age (weeks). The <i>BAG</i> model had an AUC of 76.9% with a 95% confidence interval (CI) (72.6%, 81.3%), while birth weight and gestational age had an AUC of 73.1% (95% CI: 68.4%,77.9%) and 71.3% (66.3%, 76.2%). In the validation cohort, the BAG model had an AUC of 68.9%. <b><i>Conclusion:</i></b> The BAG model is a new mortality prediction model in ELGA neonates that was developed using readily available information.
DOI: 10.5281/zenodo.6052097
title: Subsoil compaction susceptibility index (SCSI)

description: The dataset provides a global map of subsoil compaction risk of arable land by farm machinery. The calculation is detailed in the publication entitled "Farm vehicles approaching weights of sauropods exceed safe mechanical limits for soil functioning" by Thomas Keller and Dani Or. Three variables are available in this repository at 0.1° x 0.1° resolution (~10 km): the soil precompression stress at 50 cm depth (.nc) the soil stress at 50 cm depth (.shp) the subsoil compaction susceptibility index (SCSI) for arable land (.nc)
DOI: 10.5281/zenodo.6052096
title: Subsoil compaction susceptibility index (SCSI)

description: The dataset provides a global map of subsoil compaction risk of arable land by farm machinery. The calculation is detailed in the publication entitled "Farm vehicles approaching weights of sauropods exceed safe mechanical limits for soil functioning" by Thomas Keller and Dani Or. Three variables are available in this repository at 0.1° x 0.1° resolution (~10 km): the soil precompression stress at 50 cm depth (.nc) the soil stress at 50 cm depth (.shp) the subsoil compaction susceptibility index (SCSI) for arable land (.nc)
DOI: 10.6084/m9.figshare.19801702
title: Using single-cell RNA sequencing to uncover dynamic programming of T lymphocytes in multidrug-resistant patients with cytokine-induced killer cell therapy

description: <strong>Raw data of Single-cell sequencing and flow.</strong>
DOI: 10.5281/zenodo.6560720
title: Mapping of samples – Deliverables in WP3: Novel pyrolysis oil from non-food/feed biomass

description: In the H2020-project BioMates (www.biomates.eu, see chapter 4 “Funding and disclaimer”), RISE produced samples from ablative fast pyrolysis of herbaceous biomass in a TRL 5-plant. A dedicated document provides identifiers for relevant liquid samples and their blends [1]. The document at hand maps it to the substances reported to be used in the public deliverables and public deliverable summaries connected to Work Package 3 “Technology scale up and validation” of the BioMates-project, as far as mapping is not provided in the documents themselves.
DOI: 10.5281/zenodo.6560719
title: Mapping of samples – Deliverables in WP3: Novel pyrolysis oil from non-food/feed biomass

description: In the H2020-project BioMates (www.biomates.eu, see chapter 4 “Funding and disclaimer”), RISE produced samples from ablative fast pyrolysis of herbaceous biomass in a TRL 5-plant. A dedicated document provides identifiers for relevant liquid samples and their blends [1]. The document at hand maps it to the substances reported to be used in the public deliverables and public deliverable summaries connected to Work Package 3 “Technology scale up and validation” of the BioMates-project, as far as mapping is not provided in the documents themselves.
DOI: 10.25402/cer.19801741
title: An impact evaluation of an education bundle for patients at risk of developing venous thromboembolism - Supplementary materials.docx

description: Table 1. Parameters Used in the Model of Education Bundle for Patients at Risk of Developing VTE
DOI: 10.25402/cer.19801741.v1
title: An impact evaluation of an education bundle for patients at risk of developing venous thromboembolism - Supplementary materials.docx

description: Table 1. Parameters Used in the Model of Education Bundle for Patients at Risk of Developing VTE
DOI: 10.25345/c55t3g39z
title: MassIVE MSV000089501 - Small extracellular vesicles from A549 cells- TEST
title: Testing file types for upload from a set of A 549 cell derived exosomes
DOI: 10.21954/ou.rd.19649847
title: Expected and observed artefact data from malware from MATEF case studies

description: This dataset accompanies the paper 'Evaluating Malware Forensic Tools' (submitted for publication) and forms the data generated from 24 experiments where multiple malware binary files were executed under controlled conditions. For each experiment, 4,800 malware binary files were selected for execution across a bank of virtual machines. Each row within each file contains the MD5 hash of a binary file, the number of artefacts it is expected to produced when executed, and the number of artefacts observed when executed. Each data file is stored as a CSV file. More detail on the dataset is available from ian.m.kennedy@open.ac.uk
DOI: 10.21954/ou.rd.19649847.v1
title: Expected and observed artefact data from malware from MATEF case studies

description: This dataset accompanies the paper 'Evaluating Malware Forensic Tools' (submitted for publication) and forms the data generated from 24 experiments where multiple malware binary files were executed under controlled conditions. For each experiment, 4,800 malware binary files were selected for execution across a bank of virtual machines. Each row within each file contains the MD5 hash of a binary file, the number of artefacts it is expected to produced when executed, and the number of artefacts observed when executed. Each data file is stored as a CSV file. More detail on the dataset is available from ian.m.kennedy@open.ac.uk
DOI: 10.14457/cu.the.1999.534
title: ผลการเรียนโดยใช้เกมคอมพิวเตอร์อักษรไขว้ ที่มีต่อความรู้ในการใช้ศัพท์ภาษาอังกฤษ เพื่อการวินิจฉัยทางการพยาบาลของนักศึกษาพยาบาล

description: ศึกษาผลการเรียนก่อนและหลังใช้เกมคอมพิวเตอร์อักษรไขว้ ต่อความรู้ในการใช้ศัพท์ภาษาอังกฤษ เพื่อการวินิจฉัยทางการพยาบาล และเปรียบเทียบความรู้ในการใช้ศัพท์ภาษาอังกฤษ เพื่อการวินิจฉัยทางการพยาบาล ระหว่างกลุ่มที่ใช้เกมคอมพิวเตอร์อักษรไขว้ กับกลุ่มที่ใช้เอกสารประกอบการเรียนรู้ กลุ่มตัวอย่างคือ นักศึกษาพยาบาลชั้นปีที่ 2 ปีการศึกษา 2542 ของวิทยาลัยพยาบาลบรมราชชนนีลำปาง จำนวน 30 คน ได้จากการสุ่มแบบเฉพาะเจาะจง แล้วจัดกลุ่มด้วยวิธีจับคู่ แบ่งเป็นกลุ่มที่เรียนรู้โดยใช้เกมคอมพิวเตอร์อักษรไขว้ จำนวน 15 คน และกลุ่มที่เรียนรู้โดยใช้เอกสารประกอบการเรียนรู้ จำนวน 15 คน ทดลองโดยวิธีสอบก่อนและหลังการใช้ เครื่องมือที่ใช้ในการวิจัย คือ โปรแกรมเกมคอมพิวเตอร์อักษรไขว้และเอกสารประกอบการเรียนรู้ แบบทดสอบความรู้ในการใช้ศัพท์ภาษาอังกฤษ เพื่อการวินิจฉัยทางการพยาบาล วิเคราะห์ข้อมูลโดยใช้ สถิติทดสอบ The Wilcoxon matched Pairs Signed-Ranks Test และ The Mann-Whitney U test ผลการทดลองพบว่า 1. ความรู้ในการใช้ศัพท์ภาษาอังกฤษเพื่อการวินิจฉัยทางการพยาบาล ภายหลังใช้เกมคอมพิวเตอร์อักษรไขว้สูงกว่าก่อนทดลอง อย่างมีนัยสำคัญทางสถิติที่ระดับ .05 2. ความรู้ในการใช้ศัพท์ภาษาอังกฤษ เพื่อการวินิจฉัยทางการพยาบาล ของกลุ่มที่เรียนโดยใช้เกมคอมพิวเตอร์อักษรไขว้ สูงกว่ากลุ่มที่เรียนโดยใช้เอกสารประกอบการเรียนรู้ อย่างมีนัยสำคัญทางสถิติที่ระดับ .05
DOI: 10.14457/cu.the.2004.1497
title: ผลของการเสริมพลังอำนาจครูโดยการพัฒนาความสามารถด้านการออกแบบและจัดการเรียนรู้

description: วัตถุประสงค์ของการวิจัยเพื่อศึกษาผลของการใช้กระบวนการเสริมพลังอำนาจครูโดยการพัฒนาความสามารถด้านการออกแบบและจัดการเรียนรู้ กระบวนการวิจัยประกอบด้วยการสำรวจสนามทดลองการสร้างชุดฝึกอบรมการพัฒนาความสามารถด้านการออกแบบและจัดการเรียนรู้ เพื่อพัฒนาพลังอำนาจครู การตรวจสอบและปรับปรุงคุณภาพชุดฝึกอบรม การทดลองใช้และการศึกษาผลของการจัดอบรมสนามทดลองคือโรงเรียนประถมศึกษา 4 โรง เป็นกลุ่มทดลอง 2 โรง กลุ่มควบคุม 2 โรง กลุ่มตัวอย่างในการทดลองคือ ครูประถมศึกษาจำนวน 18 คน ใน 4 โรงเรียน จำแนกเป็นกลุ่มทดลอง 8 คน กลุ่มควบคุม 10 คน เครื่องมือที่ใช้ในการวิจัยจำแนกเป็น 3 กลุ่ม คือ (1) เครื่องมือที่ใช้เพื่อการคัดเลือกสนามทดลอง (2) เครื่องมือที่ใช้เป็นตัวแปรจัดกระทำ (treatment) คือชุดฝึกอบรม (3) เครื่องมือที่ใช้วัดระดับพลังอำนาจการทำงานครู วิธีการเก็บรวบรวมข้อมูล ใช้การสังเกต การสัมภาษณ์ การสอบถาม และการศึกษาเอกสาร การเก็บรวบรวมข้อมูลมีทั้งก่อนการทดลองและหลังการทดลอง การวิเคราะห์ข้อมูลใช้สถิติบรรยาย การวิเคราะห์ความแปรปรวนทางเดียว (One-WayANOVA) และการวิเคราะห์ความแปรปรวนร่วม (ANCOVA) ผลการวิจัย 1) ลักษณะของชุดฝึกอบรมประกอบด้วยแผนการจัดอบรมเกี่ยวกับการออกแบบและการจัดการเรียนรู้ จำนวน 8 ชุด ใช้เวลาอบรมชุดละ 3 ชั่วโมง 2) ผลการใช้ชุดฝึกอบรมพบว่าครูส่วนใหญ่มีความพึงพอใจในกิจกรรมและเนื้อหาความรู้ที่ได้รับจากการจัดอบรม 3) ครูกลุ่มทดลองมีระดับพลังอำนาจสูงกว่าครูในกลุ่มควบคุม
DOI: 10.5281/zenodo.6565905
title: Life cycle assessment of struvite recovery and wastewater sludge end-use: A Flemish illustration

description: This work was supported by the European Union's Horizon 2020 project Nutri2Cycle (Grant agreement No. 773682) and Interreg North-West Europe's ReNu2Farm (Grant: NEW601). These datasets are supplementary information to the manuscript titled "Life cycle assessment of struvite recovery and wastewater sludge end-use: A Flemish illustration"
DOI: 10.5281/zenodo.6565904
title: Life cycle assessment of struvite recovery and wastewater sludge end-use: A Flemish illustration

description: This work was supported by the European Union's Horizon 2020 project Nutri2Cycle (Grant agreement No. 773682) and Interreg North-West Europe's ReNu2Farm (Grant: NEW601). These datasets are supplementary information to the manuscript titled "Life cycle assessment of struvite recovery and wastewater sludge end-use: A Flemish illustration"
DOI: 10.6084/m9.figshare.19801863
title: Additional file 4 of Qualitative modelling of social determinants of health using group model building: the case of debt, poverty, and health

description: Additional file 4.
DOI: 10.6084/m9.figshare.19801863.v1
title: Additional file 4 of Qualitative modelling of social determinants of health using group model building: the case of debt, poverty, and health

description: Additional file 4.
DOI: 10.6084/m9.figshare.19801865
title: Additional file 1 of Localization of EccA3 at the growing pole in Mycobacterium smegmatis

description: Additional file 1: Table S1. Bacterial Strains. Table S2. Plasmids. Table S3. Primers. Table S4. Number of fluorescent foci at least 0.5 μm the from mid-cell of M. smegmatis. Table S5. High and Low confidence proteins. Table S6. Fold change of low confidence proteins. Table S7. Identifying characteristics of high and low confidence proteins. Table S8. Unique peptides of identified high and low confidence proteins. Table S9. Gene Ontology erichments of identified proteins.
DOI: 10.6084/m9.figshare.19801865.v1
title: Additional file 1 of Localization of EccA3 at the growing pole in Mycobacterium smegmatis

description: Additional file 1: Table S1. Bacterial Strains. Table S2. Plasmids. Table S3. Primers. Table S4. Number of fluorescent foci at least 0.5 μm the from mid-cell of M. smegmatis. Table S5. High and Low confidence proteins. Table S6. Fold change of low confidence proteins. Table S7. Identifying characteristics of high and low confidence proteins. Table S8. Unique peptides of identified high and low confidence proteins. Table S9. Gene Ontology erichments of identified proteins.
DOI: 10.6084/m9.figshare.19801871
title: Additional file 1 of Identifying Alzheimer’s genes via brain transcriptome mapping

description: Additional file 1. Table S1: Significance level of brain regions using imaging-diagnosis analysis. Table S2(a): Significance level of identified genes significantly associated with diagnostic outcome using correlation analysis. Table S2(b): Significance level of identified genes related with AD based on DisGeNET. Table S2(c): Significance level of identified genes unrelated with AD based on DisGeNET.
DOI: 10.6084/m9.figshare.19801871.v1
title: Additional file 1 of Identifying Alzheimer’s genes via brain transcriptome mapping

description: Additional file 1. Table S1: Significance level of brain regions using imaging-diagnosis analysis. Table S2(a): Significance level of identified genes significantly associated with diagnostic outcome using correlation analysis. Table S2(b): Significance level of identified genes related with AD based on DisGeNET. Table S2(c): Significance level of identified genes unrelated with AD based on DisGeNET.
DOI: 10.6084/m9.figshare.19801916.v1
title: Additional file 2 of Airway fibrin formation cascade in allergic asthma exacerbation: implications for inflammation and remodeling

description: Additional file 2: Table S1. Subjects’ demographics with the calculations of averages and their standard deviation (SD). The counts of different cells were calculated in 200 μL BALF.
DOI: 10.6084/m9.figshare.19801916
title: Additional file 2 of Airway fibrin formation cascade in allergic asthma exacerbation: implications for inflammation and remodeling

description: Additional file 2: Table S1. Subjects’ demographics with the calculations of averages and their standard deviation (SD). The counts of different cells were calculated in 200 μL BALF.
DOI: 10.6084/m9.figshare.19801919
title: Additional file 3 of Airway fibrin formation cascade in allergic asthma exacerbation: implications for inflammation and remodeling

description: Additional file 3: Table S2. The identification and abundance of the significant proteins for each sample.
DOI: 10.6084/m9.figshare.19801919.v1
title: Additional file 3 of Airway fibrin formation cascade in allergic asthma exacerbation: implications for inflammation and remodeling

description: Additional file 3: Table S2. The identification and abundance of the significant proteins for each sample.
DOI: 10.6084/m9.figshare.19801956.v1
title: Additional file 2 of Histone H3.3 K27M chromatin functions implicate a network of neurodevelopmental factors including ASCL1 and NEUROD1 in DIPG

description: Additional file 2: Table S4. A. Super-enhancers with open-chromatin and increased gene expression in parental DIPG lines (3ʹ Tag-seq data produced by Chen et al. [19] and super-enhancer data produced by Nagaraja et al. [27]). B. Super-enhancers with open-chromatin and increased gene expression in isogenic wild-type lines (3ʹ Tag-seq data produced by Chen et al. [19] and super-enhancer data produced by Nagaraja et al. [27]).
DOI: 10.6084/m9.figshare.19801956
title: Additional file 2 of Histone H3.3 K27M chromatin functions implicate a network of neurodevelopmental factors including ASCL1 and NEUROD1 in DIPG

description: Additional file 2: Table S4. A. Super-enhancers with open-chromatin and increased gene expression in parental DIPG lines (3ʹ Tag-seq data produced by Chen et al. [19] and super-enhancer data produced by Nagaraja et al. [27]). B. Super-enhancers with open-chromatin and increased gene expression in isogenic wild-type lines (3ʹ Tag-seq data produced by Chen et al. [19] and super-enhancer data produced by Nagaraja et al. [27]).
DOI: 10.34740/kaggle/dsv/3667378
title: AutoXGB
DOI: 10.57745/bdqbf8/etgfcm
title: Dataset-IGF1.tab

description: Dataset IGF in pregnant gilts and changes in their fetuses
DOI: 10.5281/zenodo.6565961
title: A 5000 km2 ASTER alteration map of the Oman–UAE ophiolite crust: Data archive and remote sensing toolkit

description: This archive contains data and maps accompanying the journal article <em>"Multispectral discrimination of spectrally similar hydrothermal minerals in mafic crust: A 5000 km<sup>2</sup> ASTER alteration map of the Oman–UAE ophiolite</em>". The archive includes the full resolution, multi-format alteraton maps of hydrothermal alteration of the entire Oman–UAE ophiolite crust generated by ASTER remote sensing. Additional files necessary to reproduce or build on this work are also provided, constituting a remote sensing toolkit for the Oman–UAE ophiolite. A complete list of contents is provided within. Please contact TMB in case of compatibility issues.
description: TMB acknowledges support from the SNSF and from the Southampton Marine and Maritime Institute, University of Southampton. This project was otherwise entirely funded by the University of Bern and by Swiss National Science Foundation (SNSF) Grant 200020-169653 to LWD.