cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.3474236
title: NU0C 40.79 -96.71 5MHz

description: Festival of Frequency Measurement 1 October 2019 NU0C 40.79 -96.71 5MHz.csv Festival of Frequency Measurement Submission ------ event: WWV Centennial UTC date: Oct. 30 2019 21:43:20 through Oct. 2 2019 01:08:03 beacon frequency: 5 MHz station name: NU0C latitude and longitude and/or maidenhead grid square: 40.789368 -96.705352 city: Lincoln state or region: Nebraska, USA Difficulties had: There is about a 5 minute gap in the data between 00:17:30 and 00:22:17 on Oct. 1 because fldigi inexplicably switched out of frequency analysis mode. When this was discovered I quickly rescued the written csv file and restarted. I have merged the two files together and attempted to correct the elapsed time offset. I hope I did this correctly. Anything you know about the stability of your equipment:<br> RIG: Drake TR-7 transceiver controlled by a Drake RV-75 synthesized remote VFO. Measurements were made with the 400 Hz CW filter centered on the WWV carrier. The VFO operates in 10 Hz steps and stability is specified at +/- 15PPM from +5 to +55 degrees C, no more than +/- 20 Hz per hour after the first hour. Since the entire system is effectively crystal controlled in this configuration so I believe the stability to be quite good. The system has been running for several weeks without shutdown so I would say that it was thoroughly "warmed up". Antenna: Butternut HV-6V 8-band ground mounted vertical matched to 5 MHz with a Drake MN-2700 tuner. Computer/Software: Asus K55A dual core i5 laptop, Kubuntu Linux 18.04, 16G RAM, internal sound system, fldigi 4.0.18. soapbox: WWV 5 signals seemed to be quite good during most of this test, at least during the times that I was home and able to check. I hope you find this data useful. Sorry that I have no data for the control date, I was late coming to this party. Please contact me with any questions or comments you may have.
DOI: 10.5281/zenodo.8187933
title: Supplementary Data Tables for 'The Global Drivers of Chronic Coastal Flood Hazards under Sea-Level Rise'

description: Please refer to and cite the manuscript Hague et al. (2023), 'The Global Drivers of Chronic Coastal Flood Hazards under Sea-Level Rise', Earth's Future. https://doi.org/10.1029/2023EF003784
DOI: 10.15151/esrf-es-1300679769
title: PROTEINS RELATED TO PATHOGENESIS OF DISEASES, VIRAL PROTEINS, CELL DIVISION, SIGNALLING AND CHROMATIN PROCESSES

description: Our BAG is composed of eight PIs at six different institutions in Italy and Austria. We focus on a large variety of human, bacterial, viral and synthetic protein targets and address diverse biological contexts by combining structural biology with biochemistry, biophysics, cellular and in vivo investigations.
DOI: 10.6084/m9.figshare.23771127.v2
title: Population genomic analysis of Ellobium chinense

description: Mapped bam file and SNPs
DOI: 10.6084/m9.figshare.23771127.v3
title: Population genomic analysis of Ellobium chinense

description: Mapped bam file and SNPs
DOI: 10.5281/zenodo.8180658
title: Role of CYLD deubiquitinase in myocardial infarction

description: CYLD is a deubiquitinase that preferentially removes lysine 63-linked polyubiquitin chains from its substrates, thus mainly regulating non-proteolytic cellular functions such as kinase activation, protein trafficking, and signal transduction. CYLD was originally identified as a tumor suppressor and its mutation is responsible for familial cylindromatosis, an autosomal dominant disease characterized by the formation of benign skin tumors. Here we examined the role of CYLD in cardiac homeostasis and pathological remodeling using both global and cardiomyocyte-specific <em>Cyld </em>knockout mouse models. We found that genetic ablation of CYLD did not affect basal cardiac structure and function as assessed by echocardiography. However, genetic inactivation of CYLD attenuated cardiac dysfunction, ventricular dilation, and pathological hypertrophy following myocardial infarction. These data suggest that CYLD deubiquitinase may represent a potential therapeutic target for ischemic heart disease.
DOI: 10.5281/zenodo.8180657
title: Role of CYLD deubiquitinase in myocardial infarction

description: CYLD is a deubiquitinase that preferentially removes lysine 63-linked polyubiquitin chains from its substrates, thus mainly regulating non-proteolytic cellular functions such as kinase activation, protein trafficking, and signal transduction. CYLD was originally identified as a tumor suppressor and its mutation is responsible for familial cylindromatosis, an autosomal dominant disease characterized by the formation of benign skin tumors. Here we examined the role of CYLD in cardiac homeostasis and pathological remodeling using both global and cardiomyocyte-specific <em>Cyld </em>knockout mouse models. We found that genetic ablation of CYLD did not affect basal cardiac structure and function as assessed by echocardiography. However, genetic inactivation of CYLD attenuated cardiac dysfunction, ventricular dilation, and pathological hypertrophy following myocardial infarction. These data suggest that CYLD deubiquitinase may represent a potential therapeutic target for ischemic heart disease.
DOI: 10.5281/zenodo.8188051
title: Dataset for the article "Phenotypic correlates of serum neurofilament light chain levels in amyotrophic lateral sclerosis" (Verde et al., Front Aging Neurosci 2023)

description: This is the dataset of the study "Phenotypic correlates of serum neurofilament light chain levels in amyotrophic lateral sclerosis" (Verde et al., Front Aging Neurosci 2023).
DOI: 10.5281/zenodo.8188050
title: Dataset for the article "Phenotypic correlates of serum neurofilament light chain levels in amyotrophic lateral sclerosis" (Verde et al., Front Aging Neurosci 2023)

description: This is the dataset of the study "Phenotypic correlates of serum neurofilament light chain levels in amyotrophic lateral sclerosis" (Verde et al., Front Aging Neurosci 2023).
DOI: 10.6084/m9.figshare.23787219
title: Winker Supp Matl for ms on the unpopularity of changing eponymous bird and other organismal names_26_July_2023

description: Supplementary Material (three subsequent sheets) for K. Winker, 2023 manuscript on the unpopularity of changing eponymous bird and other organismal names. <br> K. Winker, University of Alaska Museum, 907 Yukon Drive, Fairbanks, Alaka 99775 <br> Sheet 1: Summary of sentiment analysis made on comments to Foley & Rutter 2020 Washington Post article. Sheet 2: Summary of sentiment analysis made on comments to Fears 2021 Washington Post article. Sheet 3: Summary of sentiment analysis made on comments to Guedes et al. (2023) on ResearchGate.
DOI: 10.6084/m9.figshare.23787219.v1
title: Winker Supp Matl for ms on the unpopularity of changing eponymous bird and other organismal names_26_July_2023

description: Supplementary Material (three subsequent sheets) for K. Winker, 2023 manuscript on the unpopularity of changing eponymous bird and other organismal names. <br> K. Winker, University of Alaska Museum, 907 Yukon Drive, Fairbanks, Alaka 99775 <br> Sheet 1: Summary of sentiment analysis made on comments to Foley & Rutter 2020 Washington Post article. Sheet 2: Summary of sentiment analysis made on comments to Fears 2021 Washington Post article. Sheet 3: Summary of sentiment analysis made on comments to Guedes et al. (2023) on ResearchGate.
DOI: 10.6084/m9.figshare.23771127.v4
title: Population genomic analysis of Ellobium chinense

description: Mapped bam file and SNPs
DOI: 10.34740/kaggle/dsv/6201224
title: NSE-Scripts-Data
DOI: 10.6084/m9.figshare.20306364
title: Data used in "Crustal and Uppermost Mantle Structures Imaged by Teleseismic P-wave Travel-time Tomography Beneath the Southeastern Korean Peninsula: Implications for a Hydrothermal System Controlled by the Thermally Modified Lithosphere"

description: ## July 14 2022 ## This file contains seismic data and input files for a geodynamic simulator that were used in our study; location of sources and receivers, travel times residuals, final velocity models retrieved by tomographic inversion, and input files for ASPECT. Please refer to README file for general description for the individual files. <br> ## May 23 2023 ## We updated the geodynamic model, which is conceptually the same as the former one but the new version used visco-plastic rheology and layered densities reflecting continental crust and lithosphere. <br> The new geodynamic models were simulated by ASPECT 2.5.0-pre (commit <strong>67ee4006a</strong>37708199393c55c68c212294db36471 (HEAD -&gt; main, origin/main, origin/HEAD). <br>
DOI: 10.6084/m9.figshare.20306364.v1
title: Data used in "Crustal and Uppermost Mantle Structures Imaged by Teleseismic P-wave Travel-time Tomography Beneath the Southeastern Korean Peninsula: Implications for a Hydrothermal System Controlled by the Thermally Modified Lithosphere"

description: This file contains seismic data and input files for a geodynamic simulator that were used in our study; location of sources and receivers, travel times residuals, final velocity models retrieved by tomographic inversion, and input files for ASPECT. Please refer to README file for general description for the individual files.
DOI: 10.5523/bris.37kjcceqxz0f2lvf8zlfynjdp
title: Data for Gram-positive bacteria paper

description: These files contain the raw data files for the paper: N. Norouzi, W. Woudstra, E. Smith, G. Zulpukarova, K. Yao, V.G. Damle, R. Schirhagl, P.W. May, Tom Kamp, "Antimicrobial studies of black silicon and black diamond using Gram-positive bacteria", accepted for Adv. Engin. Mater. (2023). [doi: 10.1002/adem.202301031].
DOI: 10.34740/kaggle/dsv/6201243
title: Youtube Trending Video - Taiwan & Hong Kong
DOI: 10.5281/zenodo.7817540
title: Using ecotourism boats for estimating the abundance of a bottlenose dolphin population in south-eastern Australia

description: Excel spread sheets "bd_CRM_input" and "soc_analysis" containing the input data for the capture-recapture models of population abundance and social analysis, respectively, of bottlenose dolphins in Port Phillip Bay, south-eastern Australia.
DOI: 10.5281/zenodo.7817539
title: Using ecotourism boats for estimating the abundance of a bottlenose dolphin population in south-eastern Australia

description: Excel spread sheets "bd_CRM_input" and "soc_analysis" containing the input data for the capture-recapture models of population abundance and social analysis, respectively, of bottlenose dolphins in Port Phillip Bay, south-eastern Australia.
DOI: 10.25345/c57659r7m
title: MassIVE MSV000092530 - Proteomic profiling of small extracellular vesicles derived from mouse pancreatic cancer and stellate cells
title: Small extracellular vesicles (sEVs, including exosomes) are cell-derived membrane bound vesicles evolving as important elements involved in all stages of cancers. sEVs bear unique protein signatures that may serve as promising diagnostic and prognostic biomarkers. Pancreatic cancer records a very poor survival rate owing to its late diagnosis and several pancreatic cancer cell-derived proteins have been reported as candidate biomarkers of pancreatic cancer. This study aimed to isolate and characterise sEVs from mouse pancreatic cancer cells and stellate cells cultured alone or as co-cultures and performed proteomic profiling to assess the sEVs (derived through ultracentrifugation) and donor cellular proteomes to identify biological processes and signalling pathways mediated by proteins identified. Proteomics confirmed the enrichment of specific markers in the sEVssEV compared to their cells of origin as well as the proteins that are known to express in each of the culture types. revealed that pancreatic stellate cell-derived sEVs are enriched in proteins (including G6PI, PGAM1, ENO1, ENO3, LDHA) that mediate pathways related to development of diabetes, such as glucose metabolism, gluconeogenesis and carbohydrate metabolism revealing a potential role of stellate cells in pancreatic cancer related diabetes (PCRD). PCRD is now considered a harbinger of pancreatic cancer and further research will enable to identify the role of these components in PCRD and may develop as novel candidate biomarkers of pancreatic cancer.
DOI: 10.6084/m9.figshare.23605251
title: On-Reliability-of-Annotations-in-Contextual-Emotion-Imagery

description: Source code for replicating the results presented in our paper "On Reliability of Annotations in Contextual Emotion Imagery". <br> This code was computed under Matlab 2022. For best results, try to use this or subsequent versions. <br> Authors: Carlos A. Martínez-Miwa; Mario Castelán. Cinvestav, México.
DOI: 10.6084/m9.figshare.23605251.v1
title: On-Reliability-of-Annotations-in-Contextual-Emotion-Imagery

description: Source code for replicating the results presented in our paper "On Reliability of Annotations in Contextual Emotion Imagery". <br> This code was computed under Matlab 2022. For best results, try to use this or subsequent versions. <br> Authors: Carlos A. Martínez-Miwa; Mario Castelán. Cinvestav, México.
DOI: 10.5281/zenodo.7901068
title: Thyroid cancer polygenic risk score improves classification of thyroid nodules as benign or malignant.

description: Supplementary Data for the manuscript: Thyroid cancer polygenic risk score improves classification of thyroid nodules as benign or malignant. Nikita Pozdeyev, MD, PhD (ORCiD ID: 0000-0001-8574-1972), Manjiri Dighe, MD, Martin Barrio, MD, MS, Christopher Raeburn, MD, Harry Smith, MS, Matthew Fisher, MS, Sameer Chavan, MS, Nicholas Rafaels, MS, Jonathan A. Shortt, PhD, Meng Lin, PhD, Michael G. Leu, MD, Toshimasa Clark, MD, Carrie Marshall, MD, Bryan R. Haugen, MD, Devika Subramanian, PhD, Regeneron Genetics Center, Kristy Crooks, PhD, Christopher Gignoux, PhD, Trevor Cohen, MBChB, PhD, FACMI
description: If you use this dataset, please cite it using the metadata from this file.
DOI: 10.5281/zenodo.8188090
title: Thyroid cancer polygenic risk score improves classification of thyroid nodules as benign or malignant.

description: Supplementary Data for the manuscript: Thyroid cancer polygenic risk score improves classification of thyroid nodules as benign or malignant. Nikita Pozdeyev, MD, PhD (ORCiD ID: 0000-0001-8574-1972), Manjiri Dighe, MD, Martin Barrio, MD, MS, Christopher Raeburn, MD, Harry Smith, MS, Matthew Fisher, MS, Sameer Chavan, MS, Nicholas Rafaels, MS, Jonathan A. Shortt, PhD, Meng Lin, PhD, Michael G. Leu, MD, Toshimasa Clark, MD, Carrie Marshall, MD, Bryan R. Haugen, MD, Devika Subramanian, PhD, Regeneron Genetics Center, Kristy Crooks, PhD, Christopher Gignoux, PhD, Trevor Cohen, MBChB, PhD, FACMI
description: If you use this dataset, please cite it using the metadata from this file.
DOI: 10.6084/m9.figshare.23771127.v5
title: Population genomic analysis of Ellobium chinense

description: Mapped bam file and SNPs
DOI: 10.6084/m9.figshare.23723400
title: Aaa

description: qqqqq
DOI: 10.6084/m9.figshare.23723400.v2
title: A deep learning-based method for predicting the emerging degree of research topics using emerging index

description: This is the experimental data of the manuscript entitled “A deep learning-based method for predicting the emerging degree of research topics using emerging index”
DOI: 10.6084/m9.figshare.23723400.v3
title: Aaa

description: qqqqq
DOI: 10.6084/m9.figshare.23787273
title: Datatotal.xlsx

description: YouTube sustainable videos comments
DOI: 10.6084/m9.figshare.23787273.v1
title: Datatotal.xlsx

description: YouTube sustainable videos comments
DOI: 10.6084/m9.figshare.23787273.v2
title: Datatotal.xlsx

description: YouTube sustainable videos comments
DOI: 10.6084/m9.figshare.23752017
title: Result2019.tif

description: Water overuse in agriculture poses a significant threat to ecosystem degradation in drylands. Consequently, striking a delicate balance between water resources allocated for agricultural development and ecosystem preservation has emerged as an urgent concern for sustainable development in arid regions. To address this challenge effectively, precise quantification of cropland becomes essential in accurately measuring water consumption in agriculture. In this study, we focused on the Ebinur Lake Basin and developed a method to accurately identify cropland. Our approach integrated phenology information of major crops, multi-remote sensing data, and cropland layers from various land cover products. We carefully selected 46 metrics using a rigorous process involving random forest Out-of-Bag (OOB) and co-linearity tests. Additionally, we created two key phenological metrics of maize and cotton based on NDVI data, allowing us to capture critical temporal patterns in crop growth. Using a random forest classifier, we successfully identified cropland in the region for 2019. The results show that: (1) Cropland mapping in the Ebinur Lake Basin for 2019 achieved a good overall accuracy (OA) of 92.39%, with user accuracy (UA) and producer accuracy (PA) at 96.47% and 94.13%, slightly outperforming other existing cropland products; (2) The inclusion of phenology metrics led to an OA increase of 1.40%, with gains of 0.75% in PA and 0.97% in UA. These enhancements suggest the significance of leveraging crop phenological characteristics in the identification of cropland areas; (3) Notably, two phenology metrics used ranked among the top 10, further affirming their substantial contribution to the accurate identification of cropland regions. These results emphasize the importance of considering crop growth patterns and temporal dynamics in the mapping process and provide valuable insights for understanding water usage patterns and promoting sustainable land management in drylands.
DOI: 10.6084/m9.figshare.23752017.v1
title: Result2019.tif

description: Water overuse in agriculture poses a significant threat to ecosystem degradation in drylands. Consequently, striking a delicate balance between water resources allocated for agricultural development and ecosystem preservation has emerged as an urgent concern for sustainable development in arid regions. To address this challenge effectively, precise quantification of cropland becomes essential in accurately measuring water consumption in agriculture. In this study, we focused on the Ebinur Lake Basin and developed a method to accurately identify cropland. Our approach integrated phenology information of major crops, multi-remote sensing data, and cropland layers from various land cover products. We carefully selected 46 metrics using a rigorous process involving random forest Out-of-Bag (OOB) and co-linearity tests. Additionally, we created two key phenological metrics of maize and cotton based on NDVI data, allowing us to capture critical temporal patterns in crop growth. Using a random forest classifier, we successfully identified cropland in the region for 2019. The results show that: (1) Cropland mapping in the Ebinur Lake Basin for 2019 achieved a good overall accuracy (OA) of 92.39%, with user accuracy (UA) and producer accuracy (PA) at 96.47% and 94.13%, slightly outperforming other existing cropland products; (2) The inclusion of phenology metrics led to an OA increase of 1.40%, with gains of 0.75% in PA and 0.97% in UA. These enhancements suggest the significance of leveraging crop phenological characteristics in the identification of cropland areas; (3) Notably, two phenology metrics used ranked among the top 10, further affirming their substantial contribution to the accurate identification of cropland regions. These results emphasize the importance of considering crop growth patterns and temporal dynamics in the mapping process and provide valuable insights for understanding water usage patterns and promoting sustainable land management in drylands.
DOI: 10.6084/m9.figshare.16989109.v8
title: Data & code

description: Data
DOI: 10.6084/m9.figshare.16989109.v7
title: Data & code

description: Data
DOI: 10.5519/qd.eyfgol2f
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (21 records)
DOI: 10.6084/m9.figshare.23036267
title: Genome assemble of <em>Sesamia inferens</em>

description: We generated a 824.97 Mb high-quality reference genome, of which 99% of assembled sequences are anchored onto 31 linkage groups with a N50 size of 28.60 Mb.
DOI: 10.6084/m9.figshare.22688524
title: 16S rRNA sequence-OTU Table

description: This is a 16S rRNA sequence related to the gut microbiota of children with allergic rhinitis
DOI: 10.6084/m9.figshare.22688524.v1
title: 16S rRNA sequence-OTU Table

description: This is a 16S rRNA sequence related to the gut microbiota of children with allergic rhinitis
DOI: 10.6084/m9.figshare.20387301.v1
title: FaimanYaroSI.xlsx

description: Data suggests that the malaria vector mosquito <em>Anopheles coluzzii</em> persists during the dry season in the Sahel through a dormancy mechanism known as aestivation; however, the contribution of aestivation compared to alternative strategies such as migration is unknown. Here, we marked larval <em>Anopheles</em> mosquitoes in two Sahelian villages in Mali using deuterium (2H) to assess the contribution of aestivation to persistence of mosquitoes through the seven-month dry season. After an initial enrichment period, 33% of <em>An. coluzzii</em> mosquitoes were strongly marked. Seven months following enrichment, multiple analysis methods supported the ongoing presence of marked mosquitoes, compatible with the prediction that the fraction of marked mosquitoes should remain stable throughout the dry season if local aestivation is occurring. The results suggest that aestivation is a major persistence mechanism of <em>An. coluzzii </em>in the Sahel, contributing at least 20% of the adults at the onset of rains. This persistence strategy could influence mosquito control and malaria elimination campaigns. This dataset was used for this analysis.
DOI: 10.6084/m9.figshare.20387301
title: FaimanYaroSI.xlsx

description: Data suggests that the malaria vector mosquito <em>Anopheles coluzzii</em> persists during the dry season in the Sahel through a dormancy mechanism known as aestivation; however, the contribution of aestivation compared to alternative strategies such as migration is unknown. Here, we marked larval <em>Anopheles</em> mosquitoes in two Sahelian villages in Mali using deuterium (2H) to assess the contribution of aestivation to persistence of mosquitoes through the seven-month dry season. After an initial enrichment period, 33% of <em>An. coluzzii</em> mosquitoes were strongly marked. Seven months following enrichment, multiple analysis methods supported the ongoing presence of marked mosquitoes, compatible with the prediction that the fraction of marked mosquitoes should remain stable throughout the dry season if local aestivation is occurring. The results suggest that aestivation is a major persistence mechanism of <em>An. coluzzii </em>in the Sahel, contributing at least 20% of the adults at the onset of rains. This persistence strategy could influence mosquito control and malaria elimination campaigns. This dataset was used for this analysis.