cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.23040201.v1
title: Clinical characteristics of blue rubber bleb nevus syndrome in adults: systematic scoping review

description: Blue rubber bleb nevus syndrome (BRBNS) is a rare systemic vascular anomaly mainly affecting the skin, central nervous system and gastrointestinal tracts. Its clinical presentation and characteristics in adult patients are unclear. To clarify the characteristics of BRBNS in adult patients with a focus on gastrointestinal symptoms. Following the PRISMA Extension for Scoping Reviews, we searched MEDLINE and EMBASE for all peer-reviewed articles using keywords including ‘Blue rubber bleb nevus syndrome’ from their inception to 28 December 2021. Ninety-nine articles, including 3 observational studies and 101 cases from case reports and series, were included. Observational studies were consistently with small sample sizes, and there was only one prospective study to show the effectiveness of sirolimus in BRBNS. Common clinical presentations included anemia (50.5%) and melena (26.5%). While skin findings were known to be representative of BRBNS, only 57.4% had known vascular malformation. The diagnosis was primarily made clinically, with only 1% being diagnosed with BRBNS through genetic sequencing. Distribution of BRBNS-related lesions were variable, but predominantly oral (55.9%), followed by small bowel (49.5%), colorectal (35.6%) and stomach (26.7%) vascular malformations. While it has been underrecognized, adult BRBNS could be a culprit for refractory microcytic anemia or occult gastrointestinal bleeding. Further studies are critical to establish a uniform understanding of diagnosis and treatment for those with adult BRBNS. The utility of genetic testing in adult BRBNS diagnosis and the patient characteristics that may benefit from sirolimus, a potentially curative agent, remain to be clarified.
DOI: 10.25345/c5h708b0c
title: MassIVE MSV000092999 - CCREM_Microbiome_LCMS_Metaproteomics
title: These samples are a part of a study investigating microbial responses to cover crop root exudates. We utilized 4 cover crop species (each with unique root exudate profiles), collected the pure root exudates, and applied them to soil mirocosms. metaG, metaT, metaP, and targeted and untargeted metabolomics were applied to assess the microbial responses.
DOI: 10.5281/zenodo.8393007
title: IKEM dataset v1.0.0

description: <strong>IKEM Dataset:</strong> <strong>Number of ECGs (Electrocardiograms):</strong> 98,130 <strong>Number of Patients:</strong> 30,290 <strong>Size:</strong> 6.3 GB The IKEM dataset consists of 12-lead ECG recordings collected from patients who were examined by cardiology or diabetology sections at the Institute for Clinical and Experimental Medicine (IKEM) in Prague, Czech Republic. These recordings were sampled at a rate of 500 Hz for a duration of 10 seconds each. Each entry in the dataset includes raw ECG recordings paired with an anonymized unique patient ID, which groups ECG recordings belonging to the same patient. The dataset is stored in HDF5 files using 16-bit integers with a granularity of 4.88 microvolts. Redundant augmented leads and lead III have been removed to save storage space, resulting in a size decrease of approximately 60%. When inputting the signal to the model, the 8 reduced leads are expanded back to the original 12, producing 12 voltage values for each time instance. <strong>Structure:</strong> HDF5 files each "row" in each file corresponds to exactly 1 ECG recording each file contains 4 columns: exam_id = a unique ID for the ECG recording hashes = SHA1 hash of the ECG recording real_lengths = original length of the ECG recording tracings = a matrix (4096, 8) containing the reduced form of the ECG recording exams.csv metadata for all recordings contained in the HDF5 files 9 columns, 7 contain auxiliary metadata, the remaining 2 important are: exam_id = a unique ID for the ECG recording (corresponds to exam_id in HDF5 files) patient_id = unique patient ID (label for patient identification) We advise you to use our <strong>HDF5 multi-file loader </strong>when working with this dataset. For further information about the context of this dataset, please read our original publication and cite it if you find this dataset or our work useful, thank you very much.
DOI: 10.5281/zenodo.8393006
title: IKEM dataset v1.0.0

description: <strong>IKEM Dataset:</strong> <strong>Number of ECGs (Electrocardiograms):</strong> 98,130 <strong>Number of Patients:</strong> 30,290 <strong>Size:</strong> 6.3 GB The IKEM dataset consists of 12-lead ECG recordings collected from patients who were examined by cardiology or diabetology sections at the Institute for Clinical and Experimental Medicine (IKEM) in Prague, Czech Republic. These recordings were sampled at a rate of 500 Hz for a duration of 10 seconds each. Each entry in the dataset includes raw ECG recordings paired with an anonymized unique patient ID, which groups ECG recordings belonging to the same patient. The dataset is stored in HDF5 files using 16-bit integers with a granularity of 4.88 microvolts. Redundant augmented leads and lead III have been removed to save storage space, resulting in a size decrease of approximately 60%. When inputting the signal to the model, the 8 reduced leads are expanded back to the original 12, producing 12 voltage values for each time instance. <strong>Structure:</strong> HDF5 files each "row" in each file corresponds to exactly 1 ECG recording each file contains 4 columns: exam_id = a unique ID for the ECG recording hashes = SHA1 hash of the ECG recording real_lengths = original length of the ECG recording tracings = a matrix (4096, 8) containing the reduced form of the ECG recording exams.csv metadata for all recordings contained in the HDF5 files 9 columns, 7 contain auxiliary metadata, the remaining 2 important are: exam_id = a unique ID for the ECG recording (corresponds to exam_id in HDF5 files) patient_id = unique patient ID (label for patient identification) We advise you to use our <strong>HDF5 multi-file loader </strong>when working with this dataset. For further information about the context of this dataset, please read our original publication and cite it if you find this dataset or our work useful, thank you very much.
DOI: 10.5281/zenodo.8392710
title: ABS richt model waste characterization for different sampling strategies - NMR data

description: The purpose of this analysis is the development of an efficient sampling protocol for plastic waste streams. A model waste from different polymers was formulated, rich in ABS and containing PS, PP and PE in smaller proportions. Additionally, one bromine containing flame retardant is added to a final concentration of either 500ppm or 50ppm. Different sampling approaches were followed including extrusion and/or cryogenic grinding as a homogenization step. Each approach was assessed via various analytical techniques as to homogenization efficiency. This dataset contains raw NMR data of the model waste from the different sampling approaches. The content is: One Excel file containing NMR data of the model waste, wherein the approach was based on extrusion and measurement protocol One Excel file containing NMR data of the model waste, wherein the approach was based on cryogenic grinding and measurement protocol One Readme file containing further information about the methodology and nomenclature This dataset was generated in the framework of PRecycling Horizon Europe project (101058670)
DOI: 10.5281/zenodo.8392709
title: ABS richt model waste characterization for different sampling strategies - NMR data

description: The purpose of this analysis is the development of an efficient sampling protocol for plastic waste streams. A model waste from different polymers was formulated, rich in ABS and containing PS, PP and PE in smaller proportions. Additionally, one bromine containing flame retardant is added to a final concentration of either 500ppm or 50ppm. Different sampling approaches were followed including extrusion and/or cryogenic grinding as a homogenization step. Each approach was assessed via various analytical techniques as to homogenization efficiency. This dataset contains raw NMR data of the model waste from the different sampling approaches. The content is: One Excel file containing NMR data of the model waste, wherein the approach was based on extrusion and measurement protocol One Excel file containing NMR data of the model waste, wherein the approach was based on cryogenic grinding and measurement protocol One Readme file containing further information about the methodology and nomenclature This dataset was generated in the framework of PRecycling Horizon Europe project (101058670)
DOI: 10.5281/zenodo.8387047
title: UTexas Aptamer Dataset

description: The deposited dataset is a snapshot of the data in the active and growing UTexas Aptamer Database, https://sites.utexas.edu/aptamerdatabase/. This dataset is a collection of aptamer data that has been extracted from the literature every year since the inception of aptamer selections and includes multiple aptamer sequences from a given paper (as opposed to just sequences with the tightest binding). In all, the collection includes 1,415 aptamer sequences from 489 papers published over the last few decades (1990-2022). Since our dataset includes multiple sequences that emerged from a given selection experiment, it of necessity includes sequences that may not have been individually tested for binding activity, similar to the inclusion of all rRNA sequences in a metagenomic analysis of an environmental sample. By taking this metagenomic approach, we provide informaticians with a much wider range of sequences for subsequent analysis while still providing tools to find high-affinity aptamers for future use. For each aptamer sequence, the dataset includes information about the aptamer publication (i.e., year of publication, DOI, full citation, and corresponding author(s)), the aptamer target, as well as the following information about the specific aptamer: nucleic acid composition, name assigned in the original publication, sequence, GC percentage, sequence length, binding affinity (K<sub>d</sub>), binding/selection buffer, application as quoted in the referenced paper (e.g., drug delivery, biosensor, etc.), original nucleic acid pool used in the aptamer selection, post-selection modifications (if any), additional information, and our internally assigned serial number. We used simple Excel formulas for each aptamer record to calculate the GC content and length of each aptamer sequence. 1.1.0 Version: Added 25+ aptamer sequences. Added the "Parent sequence serial number" data field/column. Fixed "Application as quoted in the referenced paper" data formatting/alignment error.
description: This research was funded by The University of Texas Freshman Research Initiative, which was supported by the Howard Hughes Medical Institute (#52008124, concluded in 2021), and the College of Natural Sciences. Ali Akari's work was partially supported by the UT-Austin S-STEM Sophomore Scholars Program, which is funded by the National Science Foundation Award (#1742548).
DOI: 10.5281/zenodo.8264921
title: UTexas Aptamer Dataset

description: The deposited dataset is a snapshot of the data in the active and growing UTexas Aptamer Database, https://sites.utexas.edu/aptamerdatabase/. This dataset is a collection of aptamer data that has been extracted from the literature every year since the inception of aptamer selections and includes multiple aptamer sequences from a given paper (as opposed to just sequences with the tightest binding). In all, the collection includes 1,415 aptamer sequences from 489 papers published over the last few decades (1990-2022). Since our dataset includes multiple sequences that emerged from a given selection experiment, it of necessity includes sequences that may not have been individually tested for binding activity, similar to the inclusion of all rRNA sequences in a metagenomic analysis of an environmental sample. By taking this metagenomic approach, we provide informaticians with a much wider range of sequences for subsequent analysis while still providing tools to find high-affinity aptamers for future use. For each aptamer sequence, the dataset includes information about the aptamer publication (i.e., year of publication, DOI, full citation, and corresponding author(s)), the aptamer target, as well as the following information about the specific aptamer: nucleic acid composition, name assigned in the original publication, sequence, GC percentage, sequence length, binding affinity (K<sub>d</sub>), binding/selection buffer, application as quoted in the referenced paper (e.g., drug delivery, biosensor, etc.), original nucleic acid pool used in the aptamer selection, post-selection modifications (if any), additional information, and our internally assigned serial number. We used simple Excel formulas for each aptamer record to calculate the GC content and length of each aptamer sequence. 1.1.0 Version: Added 25+ aptamer sequences. Added the "Parent sequence serial number" data field/column. Fixed "Application as quoted in the referenced paper" data formatting/alignment error.
description: This research was funded by The University of Texas Freshman Research Initiative, which was supported by the Howard Hughes Medical Institute (#52008124, concluded in 2021), and the College of Natural Sciences. Ali Akari's work was partially supported by the UT-Austin S-STEM Sophomore Scholars Program, which is funded by the National Science Foundation Award (#1742548).
DOI: 10.5281/zenodo.8393083
title: Data presented in the "Deconstructing Magnetization Noise: Degeneracies, Phases, and Mobile Fractionalized Excitations in Tetris Artificial Spin Ice" paper

description: The files contain data presented in the "Deconstructing Magnetization Noise: Degeneracies, Phases, and Mobile Fractionalized Excitations in Tetris Artificial Spin Ice" paper.
DOI: 10.5517/ccdc.csd.cc222psn
title: CCDC 1909221: Experimental Crystal Structure Determination

description: Related Article: Guang-Xiong Duan, Jun Han, Bao-Zhu Yang, Yun-Peng Xie, Xing Lu|2020|Nanoscale|12|1617|doi:10.1039/C9NR07779K
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5281/zenodo.8393082
title: Data presented in the "Deconstructing Magnetization Noise: Degeneracies, Phases, and Mobile Fractionalized Excitations in Tetris Artificial Spin Ice" paper

description: The files contain data presented in the "Deconstructing Magnetization Noise: Degeneracies, Phases, and Mobile Fractionalized Excitations in Tetris Artificial Spin Ice" paper.
DOI: 10.5066/f7x0657g
title: Potentiometric surface dataset of the Sparta-Memphis aquifer in Arkansas, January 2013 - May 2013

description: The U.S. Geological Survey (USGS), in cooperation with the Arkansas Natural Resources Commission (ANRC), Arkansas Geological Survey, and the Union County Water Conservation Board, has monitored water levels as a part of an ongoing effort to provide information for management of the Sparta-Memphis aquifer. The USGS has produced reports, at various intervals, to describe groundwater conditions in the Sparta-Memphis aquifer. These datasets provide the locations of and groundwater-level altitudes from 306 wells that were used to construct a potentiometric contour surface of the Sparta-Memphis aquifer. Measurements were made from January through May 2013 and represent synoptic conditions. All wells were cased completely in and screened in the Sparta-Memphis aquifer. Groundwater-level data are also available from the USGS National Water Information System (U.S. Geological Survey, 2018). Reference U.S. Geological Survey, 2018, National Water Information SystemWeb interface, accessed September 28, 2016, at http://dx.doi.org/10.5066/F7P55KJN.
DOI: 10.17909/kycz-p946
title: TOI-1670 TESS observations 

description: all TESS SPOC 120s cadence observations through Sector 60
DOI: 10.6084/m9.figshare.21343359
title: Dataset for: Food limitation reduces risk avoidance by prey, but does not increase kill rates in a simple predator-prey system

description: Datasets used to fit seasonal resource selection functions (RSFs) to puma, vicuña, and kill site GPS data. Vicuña data is split by the two study sites (LL: Llano de los Leones, SGC: San Guillermo Canyon). We also include the dataset used to compare kill rates between the growing (GS) and the non-growing (NGS) seasons.
DOI: 10.5066/f7z31wpf
title: Official Recognized Boundary of Matanuska Susitna Basin Salmon Habitat Partnership, 2013
DOI: 10.5066/f7vq30pq
title: Official Recognized Boundaries of Fish Habitat Partnerships of the National Fish Habitat Partnership (NFHP), 2013
DOI: 10.17909/amqq-ke07
title: TOI-1670 select TESS sectors

description: Select TESS sectors 120s cadence
DOI: 10.5517/ccdc.csd.cc2djfv7
title: CCDC 2220339: Experimental Crystal Structure Determination

description: Related Article: Wen-Ze Li, Jing Li, Hong-Tian Zhao, Xiao-Sa Zhang, Yu Liu, Zhi-Tong Liu, Hong-Xin Fu, Jian Luan|2023|CrystEngComm|25|5351|doi:10.1039/D3CE00684K
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2djfw8
title: CCDC 2220340: Experimental Crystal Structure Determination

description: Related Article: Wen-Ze Li, Jing Li, Hong-Tian Zhao, Xiao-Sa Zhang, Yu Liu, Zhi-Tong Liu, Hong-Xin Fu, Jian Luan|2023|CrystEngComm|25|5351|doi:10.1039/D3CE00684K
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2dk9q0
title: CCDC 2221172: Experimental Crystal Structure Determination

description: Related Article: Ze Xu, Tianyang Hou, Feng Yang, Linan Zhang, Xiaopeng Zhang, Wei Liu, Qing Lang, Ming Lu, Yuangang Xu|2023|ACS Applied Materials and Interfaces|15|41580|doi:10.1021/acsami.3c09652
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2dlqvl
title: CCDC 2222540: Experimental Crystal Structure Determination

description: Related Article: Ze Xu, Tianyang Hou, Feng Yang, Linan Zhang, Xiaopeng Zhang, Wei Liu, Qing Lang, Ming Lu, Yuangang Xu|2023|ACS Applied Materials and Interfaces|15|41580|doi:10.1021/acsami.3c09652
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5066/p9f5ci13
title: Water temperature in the Lower Missouri River and selected tributaries

description: This dataset documents locations of and water temperature recorded by Hobo Water Temp Pro series loggers (Onset Computer Corp., Bourne, MA) deployed by the USGS Comprehensive Sturgeon Research Project at up to 24 locations in the Lower Missouri River (from the Gavins Point Dam near Yankton, South Dakota to its confluence with the Mississippi River near St. Louis, Missouri) and 13 selected tributaries (James River, Big Sioux River, Little Sioux River, Platte River (in Nebraska), Nishnabotna River, Nodaway River, Platte River (in Missouri), Kansas River, Grand River, Chariton River, Lamine River, Osage River, and Gasconade River) since 2005. Data document the site name, spatial location, temporal extent of water temperature logger deployments. Water temperature recorded at each location were generally recorded at a 15-minute interval, in degrees Celsius.
DOI: 10.5255/ukda-sn-856699
title: Household Simulation Model: A Dataset for Evaluating Interventions to Reduce Packaging and Grape Waste in UK Households, 2021-2023

description: This dataset provides the input files and results for the Grapes Household Simulation Model, which explores the impact of three interventions on the amount of packaging and grape waste generated in UK households. The interventions studied include pack size availability on the market shelves, probability of household refrigerated storage, and impact of storage temperature. The dataset is organised into three folders, each representing an intervention, with subfolders containing input files for different scenarios and a summary file with the results. The provided data can be used to analyse the effectiveness of various strategies in reducing packaging and food waste and to inform policy-making and consumer behavior change efforts.
DOI: 10.17632/8cyv9d8drs.1
title: Bacterial clade specific analysis identifies distinct epithelial responses in inflammatory bowel disease

description: Abnormal immune responses to the resident gut microbiome can drive inflammatory bowel disease (IBD). Here we combine, high-resolution, culture-based shotgun metagenomic sequencing and analysis with matched host transcriptomics across three intestinal sites (terminal ileum, cecum, rectum) from pediatric IBD (PIBD) patients (n=58) and matched controls (n=42) to investigate this relationship. Combining our novel site-specific approach with bacterial culturing, we established a cohort-specific bacterial culture collection, comprising 6,620 isolates (170 distinct species, 32 putative novel), cultured from 286 mucosal biopsies. Phylogeny-based, clade specific metagenomic analysis identified key, functionally distinct Enterococcus clades associated with either IBD or health. Strain-specific, in vitro validation demonstrated differences in cell cytotoxicity and inflammatory signaling in intestinal epithelial cells, consistent with the colonic mucosa specific response measured in the inflammatory bowel disease patients. This demonstrates the importance of strain-specific phenotypes and considering anatomical site in exploring the dysregulated host-bacterial interactions in IBD.