cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.19755160
title: Recurrent Infections and Immunodeficiency Caused by Severe Pancytopenia Associated with a Novel Life-Threatening Mutation in Hypoxia-Upregulated Protein 1

description: <i>HYOU1</i> encodes a protein from the endoplasmic reticulum chaperone proteins, expressed to protect cellular mechanisms from stress such as hypoxia, insufficient energy and excessive or insufficient substances, and to restore cell homeostasis. In this study, we report a novel pathogenic variant in <i>HYOU1</i>. The proband, the second patient with pathogenic variant in <i>HYOU1</i>, was a female born to consanguineous parents. A novel homozygous pathogenic variant in <i>HYOU1</i> (NM_001130991.3: c.1456C&gt;T; p.Arg486Cys) was identified, causing anemia, thrombocytopenia and severe panleukopenia and immunodeficiency in the second month of age, leading to consistent high-grade fever, regression of brain functions and recurrent infections; ultimately resulting in the patient expiring at three and half months of age. Both parents are heterozygous for this variant and have no issues related to this study.
DOI: 10.6084/m9.figshare.19755160.v1
title: Recurrent Infections and Immunodeficiency Caused by Severe Pancytopenia Associated with a Novel Life-Threatening Mutation in Hypoxia-Upregulated Protein 1

description: <i>HYOU1</i> encodes a protein from the endoplasmic reticulum chaperone proteins, expressed to protect cellular mechanisms from stress such as hypoxia, insufficient energy and excessive or insufficient substances, and to restore cell homeostasis. In this study, we report a novel pathogenic variant in <i>HYOU1</i>. The proband, the second patient with pathogenic variant in <i>HYOU1</i>, was a female born to consanguineous parents. A novel homozygous pathogenic variant in <i>HYOU1</i> (NM_001130991.3: c.1456C&gt;T; p.Arg486Cys) was identified, causing anemia, thrombocytopenia and severe panleukopenia and immunodeficiency in the second month of age, leading to consistent high-grade fever, regression of brain functions and recurrent infections; ultimately resulting in the patient expiring at three and half months of age. Both parents are heterozygous for this variant and have no issues related to this study.
DOI: 10.25377/sussex.7970495
title: Dataset for Everyday Childhoods research project. Lucien - Day in a Life (embargo)

description: This data was collected as part of Lucien's day in a life observation, carried out on the 30/01/2014 with Rachel Thomson. This item belongs to the Everyday Childhoods project dataset. For more information, click on the project or collection link.
DOI: 10.25377/sussex.7970495.v1
title: Dataset for Everyday Childhoods research project. Lucien - Day in a Life (embargo)

description: This data was collected as part of Lucien's day in a life observation, carried out on the 30/01/2014 with Rachel Thomson. This item belongs to the Everyday Childhoods project dataset. For more information, click on the project or collection link.
DOI: 10.24417/bmdc.be:dataset:2780
title: RV Belgica - ODAS Data website

description: This dataset describes in general terms the data generated on-board the RV Belgica A962 by the different autonomous sensors, the so-called 'en-route' data. It comprises data related to the sea water and atmospheric conditions over the lifespan of the former research vessel. All data can be found on the official website along with detailed technical specifications.
DOI: 10.25377/sussex.7970477
title: Dataset for Everyday Childhoods research project. Lucien - Favourite Things Interview (embargo)

description: This data was collected as part of Lucien's favourite things interview, carried out on the 30/11/2013 with Rachel Thomson. This item belongs to the Everyday Childhoods project dataset. For more information, click on the project or collection link.
DOI: 10.25377/sussex.7970477.v1
title: Dataset for Everyday Childhoods research project. Lucien - Favourite Things Interview (embargo)

description: This data was collected as part of Lucien's favourite things interview, carried out on the 30/11/2013 with Rachel Thomson. This item belongs to the Everyday Childhoods project dataset. For more information, click on the project or collection link.
DOI: 10.5281/zenodo.7639189
title: Indention mark segmentation data

description: This dataset includes 1120 electron microscopy images containing an indentation mark and their ground-truth masks to detect the indent marks. Both images and masks are in png format and have a (W=1024, H=768) size. The dataset can be used for semantic segmentation. The images were taken from different scanning electron microscopes (SEMs) and have different degrees of brightness and contrast. Indentation marks are used to evaluate the mechanical properties (hardness) of materials. This Github repository uses the attached data to segment away the indentation mark and detect lines, using <em>OpenCV,</em> on its sides. <em>Acknowledgement: </em> The authors gratefully acknowledge the German Federal Ministry of Education and Research (BMBF) and the government of Nordrhein-Westfalen and the Hessian ministry for supporting this work/project as part of the NHR funding. This work was supported by the German research foundation (DFG) within the Collaborative Research Centre SFB 1394 ‘‘Structural and Chemical Atomic Complexity—From Defect Phase Diagrams to Materials Properties” (Project ID 409476157), project A05 and C02. This project has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 Research and Innovation Programme (Grant Agreement No. 852096 FunBlocks).
DOI: 10.5281/zenodo.7639190
title: Indention mark segmentation data

description: This dataset includes 1120 electron microscopy images containing an indentation mark and their ground-truth masks to detect the indent marks. Both images and masks are in png format and have a (W=1024, H=768) size. The dataset can be used for semantic segmentation. The images were taken from different scanning electron microscopes (SEMs) and have different degrees of brightness and contrast. Indentation marks are used to evaluate the mechanical properties (hardness) of materials. This Github repository uses the attached data to segment away the indentation mark and detect lines, using <em>OpenCV,</em> on its sides. <em>Acknowledgement: </em> The authors gratefully acknowledge the German Federal Ministry of Education and Research (BMBF) and the government of Nordrhein-Westfalen and the Hessian ministry for supporting this work/project as part of the NHR funding. This work was supported by the German research foundation (DFG) within the Collaborative Research Centre SFB 1394 ‘‘Structural and Chemical Atomic Complexity—From Defect Phase Diagrams to Materials Properties” (Project ID 409476157), project A05 and C02. This project has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 Research and Innovation Programme (Grant Agreement No. 852096 FunBlocks).
DOI: 10.25345/c5f18sq96
title: MassIVE MSV000091332 - Signatures of native-like glycosylation in RNA replicon-derived HIV-1 immunogens
title: Signatures of native-like glycosylation in RNA replicon-derived HIV-1 immunogens
DOI: 10.5066/f7c827f8
title: Inventory of rock avalanches in western Glacier Bay National Park and Preserve, Alaska, 1984-2016: a baseline data set for evaluating the impact of climate change on avalanche magnitude, mobility, and frequency

description: The effects of climate change have the potential to impact slope stability. Negative impacts are expected to be greatest at high northerly latitudes where degradation of permafrost in rock and soil, debuttressing of slopes as a result of glacial retreat, and changes in ocean ice-cover are likely to increase the susceptibility of slopes to landslides. In the United States, the greatest increases in air temperature and precipitation are expected to occur in Alaska. In order to assess the impact that these environmental changes will have on landslide size (magnitude), mobility, and frequency, inventories of historical landslides are needed. These inventories provide baseline data that can be used to identify changes in historical and future landslide magnitude, mobility, and frequency. This data release presents GIS and attribute data for an inventory of rock avalanches in a 4800 km 2 area of western Glacier Bay National Park and Preserve, Alaska. We created the inventory from 30 m resolution Landsat imagery acquired from June 1984 to September 2016. For each calendar year, we visually examined a minimum of one Landsat image obtained between the months of May and October. We examined a total of 104 Landsat images. The contrast between the spectral signatures of freshly exposed rock avalanche source areas and deposits and surrounding undisturbed snow and ice was typically significant enough to detect surficial changes. We identified and mapped rock avalanches by locating areas with 1) high contrast compared to surrounding snow and ice, 2) different spectral signatures between successive Landsat images, and 3) lobate forms typical of rock-avalanche deposits. Using these criteria, we mapped a total of 24 rock avalanches ranging in size from 0.1 to 22 km 2. Attribute data for each rock avalanche includes: a date, or range in possible dates, of occurrence; the name of the Landsat image(s) used to identify and map the avalanche; the total area covered by the rock avalanche (including the source area and deposit); the maximum travel distance measured along a curvilinear centerline (L); and the change in elevation between the start and end points of the centerline (H). We also include a table containing a list of all the Landsat images examined. We acknowledge that our mapped polygons will be different, and less accurate, than polygons that could be mapped from higher-resolution satellite, aerial, and hand-held imagery. We specifically chose not to use high-resolution imagery because we desired a long-term historical inventory that was unbiased by changes in image resolution. Eventually, new mapping should be done to create an inventory that fully utilizes recently available high-resolution imagery. Data included in this release form the basis of an interpretive paper available in the conference proceedings of the 3 rd North American Symposium on Landslides held in Roanoke, Virginia in June, 2017.
DOI: 10.5066/p9pefy11
title: Hydrogeologic Data for the Development of the Hydrogeologic Framework of the Coastal Lowlands Aquifer System Regional Groundwater Availability Study Area in Texas, Louisiana, Mississippi, Alabama, and Florida

description: The U.S. Geological Survey (USGS) undertook a 5-year study beginning in 2016 to assess groundwater availability for the aquifers proximal to the Gulf of Mexico from the Texas-Mexico border to the western part of the panhandle of Florida; these aquifers are collectively referred to as the coastal lowlands aquifer system. This study is one of several regional groundwater availability studies being done as part of the USGS Water Availability and Use Science Program. Groundwater from the coastal lowlands aquifer system is used mainly for public, irrigation, and industrial supply. Land-surface subsidence related to groundwater pumping is an issue of ongoing concern within this study area. During the first two years of the study, the team developed an updated conceptual model of the hydrogeologic framework of the aquifer system, which lead to initial estimates of major water budget components such as recharge, surface-water/groundwater exchange, and coastal discharge. This data release documents the hydrogeologic data that were compiled and used to define the hydrogeologic framework.
DOI: 10.5066/p9eyp85z
title: Phytoplankton data for samples collected at eleven large river sites throughout the United States, June through September 2017

description: This U.S. Geological Survey (USGS) Data Release provides phytoplankton data for samples collected from eleven large river sites throughout the United States, from June through September 2017. All data are reported as raw calculated values and are not rounded to USGS significant figures. The dataset includes all routine and quality assurance/quality control samples collected as part of a National Water Quality Assessment Project pilot study to describe the potential for cyanobacteria and cyanotoxin occurrence in the Nation's large rivers. Phytoplankton were identified to the lowest possible taxonomic level and abundances (density reported as natural units) are reported.
DOI: 10.5066/p99gxvsv
title: Cottonwood Lake Study Area - Invertebrate Counts (ver. 2.0)

description: This dataset contains macroinvertebrate sampling data for the wetlands in the Cottonwood Lake Study Area, Stutsman County, North Dakota.
DOI: 10.5066/p97x3ul6
title: Louisiana's Coastwide Reference Monitoring System (CRMS) elevation data

description: Wetland restoration efforts conducted by the Coastal Wetlands Planning, Protection and Restoration Act (CWPPRA) in Louisiana rely on monitoring efforts to determine the efficacy of these efforts. The Coastwide Reference Monitoring System (CRMS) was developed to assist in a multiple-reference approach that uses aspects of hydrogeomorphic functional assessments and probabilistic sampling for monitoring. The CRMS program includes a suite of approximately 390 sites that encompass the range of hydrological and ecological conditions for each stratum. Each site has a suite of vegetation, elevation, and hydrological stations that have a known elevation from surveys tied to nearby primary and secondary elevation monuments. This dataset includes elevations for rod surface elevation table (RSET) stations, vegetation stations, and associated secondary monuments from 2014-2020.
DOI: 10.6084/m9.figshare.13585591
title: Tiered intake assessment for low- and no-calorie sweeteners in beverages

description: A tiered intake assessment approach is presented and applied to derive the maximum potential global low- and no-calorie sweeteners (LNCS) intake estimates. The US and Uk markets served as representative for the world and the EU region, respectively, to determine the maximum potential exposure for acesulfame potassium (AceK), aspartame, saccharin, steviol glycosides, and sucralose in various subpopulations, including brand-loyal consumers. Conservative intake estimates for LNCS used in non-alcoholic beverages were calculated for the general population 2 + y, toddlers (12–35 months (US) or 18–35 months (UK)), young children 3–9 y, adolescents 10–17 y, adults 18–64 y, elderly 65–74 y, and very elderly 75 + y based on assumed uses in high beverage consumption markets, leveraging either the 2-day food consumption data from the 2013–2016 US National Health and Nutrition Examination Survey or the 4-day food consumption data from the 2008–2017 UK National Diet and Nutrition Survey Rolling Programme. Strong concordance between the refined budget method and the brand-loyal deterministic approach was shown, the latter assumes the maximum industry-reported global LNCS use level is present in 100% of non-alcoholic beverages. This study shows that safety of LNCS in beverages at proposed use levels can be supported for any geography, with all intake estimates falling below the acceptable daily intake in refined assessments. Importantly, this study shows the refined budget method to be a valid first-tier screening assessment in prioritising those LNCS that may benefit from more refined intake assessments when warranted.
DOI: 10.6084/m9.figshare.13585591.v1
title: Tiered intake assessment for low- and no-calorie sweeteners in beverages

description: A tiered intake assessment approach is presented and applied to derive the maximum potential global low- and no-calorie sweeteners (LNCS) intake estimates. The US and Uk markets served as representative for the world and the EU region, respectively, to determine the maximum potential exposure for acesulfame potassium (AceK), aspartame, saccharin, steviol glycosides, and sucralose in various subpopulations, including brand-loyal consumers. Conservative intake estimates for LNCS used in non-alcoholic beverages were calculated for the general population 2 + y, toddlers (12–35 months (US) or 18–35 months (UK)), young children 3–9 y, adolescents 10–17 y, adults 18–64 y, elderly 65–74 y, and very elderly 75 + y based on assumed uses in high beverage consumption markets, leveraging either the 2-day food consumption data from the 2013–2016 US National Health and Nutrition Examination Survey or the 4-day food consumption data from the 2008–2017 UK National Diet and Nutrition Survey Rolling Programme. Strong concordance between the refined budget method and the brand-loyal deterministic approach was shown, the latter assumes the maximum industry-reported global LNCS use level is present in 100% of non-alcoholic beverages. This study shows that safety of LNCS in beverages at proposed use levels can be supported for any geography, with all intake estimates falling below the acceptable daily intake in refined assessments. Importantly, this study shows the refined budget method to be a valid first-tier screening assessment in prioritising those LNCS that may benefit from more refined intake assessments when warranted.
DOI: 10.5066/p97s8rac
title: Historical and future ecological drought conditions for rangelands of the western U.S.

description: These NetCDF data were compiled to investigate how rangelands in the western U.S. are limited by access to water. As a result, these ecosystems may be especially vulnerable to changes in water availability and drought as a result of climate change. This project utilized an ecosystem water balance model to quantify spatial and temporal patterns of rangeland ecological drought conditions under historical and future climate conditions. Water balance results were used to estimate several metrics that describe the seasonal timing and amount of moisture available for plant utilization in western rangelands. These data represent different aspects of water availability and drought. They are based on 1/16-degree gridded simulations using the SOILWAT2 ecosystem water balance model (Schlaepfer et al. 2021) for areas of the western USA where the models represent vegetation structure and ecohydrological upland processes under historical and future condition, i.e., drylands where aridity index (AI) = ratio of annual precipitation amount to annual potential evapotranspiration, is less than 0.65 excluding the warm-moist portion (areas where mean monthly temperature &gt; 4 C and April-June precipitation &gt; 75 mm). The temporal coverage of these NetCDF data consist of a historical annual or quarterly times-series over 1971-2010 (simulations driven by daily meteorological inputs from Livneh et al. 2013) and future projected climatologies (means across years) over 2021-2060 and 2061-2100 using downscaled output from 11 climate models that participated in CMIP5 experiment RCP4.5 (representative concentration pathway). The 11 climate models include: CanESM2, CESM1-CAM5, CSIRO-Mk3-6-0, CNRM-CM5, FGOALS-g2, FGOALS-s2, GISS-E2-R, HadGEM2-ES, inmcm4, IPSL-CM5A-MR, MIROC-ESM (downscaled for North America and obtained from the "Downscaled CMIP3 and CMIP5 Climate and Hydrology Projects" archive; Maurer et al. 2007). Soil properties were derived from the ISRIC WISE30sec dataset (Batjes 2016). To capture the spread across SOILWAT2 simulation runs based on the 11 GCMs for each future time period and RCP, we provide data representing the gridcell-wise median, low (2nd lowest ranked value), high (2nd largest ranked value), and robustness (number of runs that agree in the direction of change between the future projected median and historical conditions). These data were created by the U.S. Geological Survey.
DOI: 10.5066/p9q2592l
title: Coastal wetland elevation survey of Weeks Bay National Estuarine Research Reserve, Alabama, 2016–2018

description: This data release includes elevation data collected from 2016–2018 within coastal wetland habitats at Weeks Bay National Estuarine Research Reserve, Alabama, and at Ogburn Marsh within the reserve. A total of 771 points were surveyed for elevation via Real-Time Kinematic (RTK) GPS.
DOI: 10.6084/m9.figshare.22134527
title: Charged impurities in a Bose-Einstein condensate: Many-body bound states and induced interactions

description: Density profiles of ion polarons and bipolarons, induced polaron-polaron interactions
DOI: 10.6084/m9.figshare.22134527.v1
title: Charged impurities in a Bose-Einstein condensate: Many-body bound states and induced interactions

description: Density profiles of ion polarons and bipolarons, induced polaron-polaron interactions
DOI: 10.5066/p9pouph5
title: Elevation Survey Across Southwest Florida Coastal Wetlands, 2021

description: Accurate elevation data in coastal wetlands is crucial for planning for sea-level rise. Elevation surveys were conducted across southwest Florida wetlands to provide ground validation of LiDAR as well as target long-term monitoring stations (surface elevation tables). Surveys were conducted in June 2021 across Ding Darling National Wildlife Refuge, Clam Bay, Rookery Bay National Estuarine Research Reserve, and Ten Thousand Islands National Wildlife Refuge. A combination of post-processed kinematic GPS and differential levelling survey techniques were employed, depending on the canopy cover.
DOI: 10.6073/pasta/d040fbb7d96339126d0d13211369db59
title: Plant species composition for sensor network array, 2017 - ongoing.

description: Above-ground plant species cover was recorded for vegetation plots in the sensor network, starting in 2017. Cover was measured annually at peak biomass using a 100 point-intercept method.
DOI: 10.6084/m9.figshare.22134572
title: Comprehensive multi-omics analysis of multiple pathway molecular subtypes of colon cancer

description: Our study delves into the molecular subtypes of colon cancer from multiple dimensions and provides innovative insights for cancer immunotherapy.
DOI: 10.6084/m9.figshare.22134572.v1
title: Comprehensive multi-omics analysis of multiple pathway molecular subtypes of colon cancer

description: Our study delves into the molecular subtypes of colon cancer from multiple dimensions and provides innovative insights for cancer immunotherapy.
DOI: 10.6084/m9.figshare.12378101
title: Extraction of dust collected in HVAC filters for quantitative filter forensics

description: The analysis of dust collected on the filters installed in the heating, ventilation, and air-conditioning (HVAC) systems, filter forensics, is a useful approach to explore concentration, size distribution, and composition of indoor particles. The extraction of dust from filters represents one of the biggest challenges to obtain accurate results from filter forensics. Although vacuuming is one of the most common dust extraction techniques, it is unclear how efficient it is and whether it provides a representative sample in terms of particle size. In this article, we used a high-capacity vacuum sampler to extract dust from 20 filters artificially loaded with well-characterized test dust as well as from 41 filters naturally loaded in residential HVAC systems. After all extractions, we recovered 0.1–5.5 g and 0.02–11.4 g of dust from the artificially and naturally loaded filters, respectively. These ranges were equivalent to 11.3–52.2% and 1.8–72.9% recovery efficiency, the ratio of dust recovered to the dust loaded in the filters. Multiple extractions were found to be an effective strategy to add to the recovery to enable filter forensics for the detection of multiple analytes. The recovered samples were slightly over-representative of particles greater than 10 µm. Therefore, caution should be taken when applying filter forensics for studying contaminants associated with smaller particles. Copyright © 2020 American Association for Aerosol Research