cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7579970
title: Nudging the tropical Indian Ocean Applied to the IPSL-CM6A-LR model - Warming Experiments

description: This experiment applies monthly nudging of -2, -1, +1, and +2 degree C to the tropical Indian Ocean region in the IPSL-CM6A-LR pre-industrial control run. The methods of nudging are defined in Ferster et al. (2021), where we apply a constant nudging and refer to the experiments as TIOxC, where "x" is the monthly nudging value (as in Ferster et al., 2021). Additional experiments were simulated for a paper within the submission process (to be included and updated within future versions) including the "TIOc" and "C0C" experiments, where the TIOC nudges towards towards the time-mean climatology and the C0C nudges at each monthly time step towards the pre-industrial control's corresponding monthly value (similar to adding white noise at each time step). The datasets are included from the experiments to help share our results and reproducibility of the figures within our manuscripts, the original model output is stored on the TGCC computing machine Irene. All datasets are saved on this data repository are saved as annual means! These datasets represent the +1 and +2 degree C experiments. Please use the additional thredds link to access the full IPSL output for the experiments: https://thredds-su.ipsl.fr/thredds/catalog/tgcc_thredds/store/fersterb/IPSLCM6/DEVT/TIO-Experiment/P1C-TIO/1950-01-01/P1C-TIO1950-01/catalog.html https://thredds-su.ipsl.fr/thredds/catalog/tgcc_thredds/store/fersterb/IPSLCM6/DEVT/TIO-Experiment/P2C-TIO/1950-01-01/P2C-TIO1950-01/catalog.html The pre-industrial control from IPSL can be found on the CMIP6-ESGF servers and the TGCC computing machine Irene. Please contact us for additional explanations, datasets, or collaboration. *The datasets are created from the IPSL-CM6A-LR output files **This version serves as a preliminary version of the dataset for publication purposes, additional output is available and the experiment output exceeds the 50gb of storage offered through this platform (TGCC Irene). ***Contact: brady.ferster@locean.ipsl.fr or brady.ferster@yale.edu
DOI: 10.5281/zenodo.7590087
title: Nudging the tropical Indian Ocean Applied to the IPSL-CM6A-LR model - Cooling Experiments

description: This experiment applies monthly nudging of -2, -1, +1, and +2 degree C to the tropical Indian Ocean region in the IPSL-CM6A-LR pre-industrial control run. The methods of nudging are defined in Ferster et al. (2021), where we apply a constant nudging and refer to the experiments as TIOxC, where "x" is the monthly nudging value (as in Ferster et al., 2021). Additional experiments were simulated for a paper within the submission process (to be included and updated within future versions) including the "TIOc" and "C0C" experiments, where the TIOC nudges towards towards the time-mean climatology and the C0C nudges at each monthly time step towards the pre-industrial control's corresponding monthly value (similar to adding white noise at each time step). The datasets are included from the experiments to help share our results and reproducibility of the figures within our manuscripts, the original model output is stored on the TGCC computing machine Irene. All datasets are saved on this data repository are saved as annual means! These datasets represent the -2 and -1 degree C experiments. Please use the additional thredds link to access the full IPSL output for the experiments: https://thredds-su.ipsl.fr/thredds/catalog/tgcc_thredds/store/fersterb/IPSLCM6/DEVT/TIO-Experiment/M1C-TIO/1950-01-01/M1C-TIO1950-01/catalog.html https://thredds-su.ipsl.fr/thredds/catalog/tgcc_thredds/store/fersterb/IPSLCM6/DEVT/TIO-Experiment/M2C-TIO/1950-01-01/M2C-TIO1950-01/catalog.html The pre-industrial control from IPSL can be found on the CMIP6-ESGF servers and the TGCC computing machine Irene. Please contact us for additional explanations, datasets, or collaboration. *The datasets are created from the IPSL-CM6A-LR output files **This version serves as a preliminary version of the dataset for publication purposes, additional output is available and the experiment output exceeds the 50gb of storage offered through this platform (TGCC Irene). ***Contact: brady.ferster@locean.ipsl.fr or brady.ferster@yale.edu
DOI: 10.5523/bris.l3sq4s0w66ln1x20sye7s47wv
title: One in a Million: A study of primary care consultations

description: The dataset includes 300 video-recorded patient visits with verbatim transcripts to 23 GPs across 12 different practice neighbourhoods. There is also GP practice information, and GP survey data, GP post-visit checklists, patient pre and post-visit survey data plus a 10-day follow-up patient survey and patient record entries relating to the index visit. The project website has more detail about the dataset  http://www.bristol.ac.uk/primaryhealthcare/researchthemes/one-in-a-million/

*** Please note: There is an administration charge for the preparation of this dataset ***
DOI: 10.5676/dwd_gpcc/fd_m_v2020_050
title: GPCC Full Data Monthly Version 2020 at 0.5°: Monthly Land-Surface Precipitation from Rain-Gauges built on GTS-based and Historic Data
title: Gridded Monthly Totals

description: This is the centennial GPCC Full Data Monthly Product of monthly global land-surface precipitation based on ~ 85,000 stations world-wide that feature record durations of 10 years or longer. The data coverage per month varies from ~20,000 to more than 50,000 stations. This product contains the monthly totals on a regular grid with a spatial resolution of 0.5° x 0.5° latitude by longitude. Precipitation anomalies at the stations are interpolated and then superimposed on the GPCC Climatology V2020 in the corresponding resolution (DOI: 10.5676/DWD_GPCC/CLIM_M_V2020_050). The temporal coverage of the dataset ranges from January 1891 until December 2019. The GPCC Full Data Monthly Product is the most accurate in situ precipitation reanalysis data set of GPCC. Moreover it supports regional climate monitoring, model validation, climate variability analysis and water resources assessment studies.
description: General user recommendations: Users are referred to following gridded Global Precipitation Climate Centre (GPCC) products: GPCC Climatology 1951-2000 (GPCC_CLIM) with high representativeness, for application as a reference, and for utilization of the anomaly interpolation method. GPCC Full Data Monthly Product(GPCC_FD) with high accuracy, for, e.g., verification of models, or for analysis of historic global precipitation, or for research concerning the global water cycle, e.g.. GPCC Monitoring Product (GPCC_MP) with high availability and reasonable timeliness, for applications like calibration of satellite data, or early annual reporting. GPCC First Guess Product (GPCC_FG) with high timeliness, to be applied for, e.g., drought monitoring.
DOI: 10.57830/2300107
title: Pacific Island Network Landbird Monitoring Dataset

description: Four Pacific Island Network parks were surveyed for landbirds and landbird habitat in order to provide information for monitoring long-term trends in forest bird distribution, density, and abundance. Hawaii Volcanoes National Park (HAVO) was surveyed in 2010, 2015/2016 and 2019/2020.  Surveys were conducted in the National Park of American Samoa (NPSA) in 2011 and 2018, in Haleakala National Park (HALE) in 2012, 2017, and 2022, and in 2021, surveys began at Kalaupapa National Historical Park (KALA). The entire survey areas were surveyed using point-transect distance sampling to calculate estimates of bird abundance and densities. Canopy cover and composition was collected at the same survey area.  In addition to the permanent survey transects from past landbird surveys in the survey areas, randomly generated point-transects were also surveyed, providing a split panel sampling design. This dataset contains the results of the landbird point count and habitat surveys for HAVO, NPSA, HALE, and KALA.
DOI: 10.6073/pasta/f331feede8ba321afbcf812445f172ce
title: Adelie penguin diet composition, krill size-frequency distribution, 1991 - present.

description: The fundamental long-term objective of the seabird component of the Palmer LTER (PAL) has been to identify and understand the mechanistic processes that regulate the mean fitness (population growth rate) of regional penguin populations. Two hypotheses have guided this research, with one suggesting that population mean fitness is best explained by changes in regional krill biomass, and the other proposing that long-term changes in sea ice affects mean fitness by tipping the balance in favor of one species over another in accordance with species-specific evolved life history affinities to sea ice. Although these hypotheses are not mutually exclusive, current evidence in the PAL region tends to favor the latter over the former. Since the inception of PAL, Adélie penguin populations have effectively collapsed, while those of gentoo and chinstrap penguins have increased dramatically, trends that are spatially and temporally coherent with decreasing regional sea ice duration. Adélie penguins are an ice-obligate polar species whose life history is intimately linked to the presence of sea ice, while chinstrap and gentoo penguins are ice-intolerant species whose life histories evolved in the sub-Antarctic, where sea ice is a less permanent feature of the marine ecosystem. In contrast, although krill constitute the most important component of the summer diets by mass of these three penguin species, changes in PAL krill abundances have exhibited no long-term trends, and thus fail to explain the divergent patterns in penguin populations evident in our time series. Three species of krill occur in Adélie penguin diet samples, Antarctic krill (Euphausia superba), crystal krill (E. crystallorophias) and Thysanoessa macrura (no common name), but beyond obtaining whole subsample weights following sorting (see DIET), only E. superba is subjected to further analysis. In this case, the original subsample from each individual penguin is searched with the objective of obtaining a minimum of 50 whole krill that when measured (in millimeters) provide an index of within and between season variability in population size-frequency distributions. These data have provided critical insights into a number of ecological processes, including in particular how sea ice affects krill recruitment and, in turn, how krill recruitment impacts Adélie penguin foraging efforts.
DOI: 10.6084/m9.figshare.24998312
title: Synthesis mechanisms, growth,and tests of SCCVT

description: Synthesis mechanisms and growth of SCCVT.
Chemical analysis of directly synthesized 2D TMPCs and their alloys.
Structural characterization and compositional consistency of a nine-element high-entropy alloy NiaFebMncIndCoeZnfPSgSe(3-g).
Physical properties of single crystals synthesized by our method.
DOI: 10.6084/m9.figshare.28387310
title: Supplementary Material for: Constrictive Pericarditis in a Hemodialysis Patient Who Presented with Rapidly Progressive Pericardial Calcification: A Diagnostic Challenge––Case Report

description: Abstract
Introduction: Constrictive pericarditis (CP) is characterized by impaired diastolic filling of the ventricles, which typically causes right heart failure. Its diagnosis may be challenging because it mimics other disorders. Furthermore, prompt diagnosis and treatment are more crucial in cases of hemodialysis; otherwise, maintenance dialysis would be hampered by severe hypotension. Case Presentation: We report the case of a 53-year-old man on hemodialysis who developed CP with shock. His blood pressure was 55/30 mmHg at the time of hospitalization due to presyncope. He continued hemodialysis but with some difficulty. However, right pleural effusion persisted because of impaired fluid removal by hemodialysis. Despite such severe manifestations, the distinctive clinical features of CP were lacking. By carefully evaluating the time course of computed tomography images, progressive calcification in the pericardium emerged as a significant clue. Cardiac catheterization subsequently revealed a dip-and-plateau pattern of right ventricular pressure, which led to a definitive diagnosis of CP. Soon after the diagnosis, he underwent a successful surgery. Conclusion: An important finding was that, unlike calcific lesions in the general dialysis population, the patient’s calcific lesions were mostly confined to the pericardium and progressed on a monthly basis. Thus, the present case may provide deep insight into the diagnosis of CP and the management of hemodialysis patients with severe hypotension.
DOI: 10.6084/m9.figshare.28387607
title: Supplementary Material for: Clostridia enhances intestinal immunity to alleviate ovalbumin-induced allergy

description: Introduction: This study aimed to explore the effect of Clostridia administration on ovalbumin (OVA)-induced allergy and the relevant underlying mechanism in BALB/c mice. Methods: Female BALB/c mice were assigned to three groups: control (C), OVA sensitization (CO), and intervention (IG). All mice were treated with antibiotics to eliminate their intestinal flora. Then, the mice in the CO and IG groups were orally treated with phosphate-buffered saline (PBS) and Clostridia extract, respectively, followed by OVA sensitization, while the mice in the C group only received PBS during the experiment. Allergic reactions, intestinal barrier function, and composition of the gut flora were analyzed. Results: The CO group demonstrated significant allergic reactions when compared to the C and IG groups. The serum levels of interleukin-5 (IL-5) were significantly lower in the IG group than in the CO group. The levels of interferon-γ, transforming growth factor-β1, and T-helper 1 subsets were significantly higher in the IG group than in the CO group. The serum D-lactate level was significantly reduced in the IG group, while IL-22 levels were reduced in the CO group relative to the C group. In addition, tight junction proteins and mucin in the ileal tissues were significantly elevated in the IG group than in the CO group. The relative abundance of Clostridia _UCG014 and Christensenellales was significantly enriched in the feces of mice in the IG group and negatively correlated with the serum sIgG1 level. Conclusion: Clostridia alleviated food allergy symptoms in mice by regulating their intestinal immune function and improving the intestinal microbial composition and enhancing the intestinal barrier.
DOI: 10.15468/up1tr5
title: Global Register of Introduced and Invasive Species - France

description: The Global Register of Introduced and Invasive Species (GRIIS) presents validated and verified national checklists of introduced (alien) and invasive alien species at the country, territory, and associated island level. Checklists are living entities, especially for biological invasions given the growing nature of the problem. GRIIS checklists are based on a published methodology and supported by the Integrated Publishing Tool that jointly enable ongoing improvements and updates to expand their taxonomic coverage and completeness. Phase 1 of the project focused on developing validated and verified checklists of countries that are Party to the Convention on Biological Diversity (CBD). Phase 2 aimed to achieve global coverage including non-party countries and all overseas territories of countries, e.g. those of the Netherlands, France, and the United Kingdom. All kingdoms of organisms occurring in all environments and systems are covered. Checklists are reviewed and verified by networks of country or species experts. Verified checklists/ species records, as well as those under review, are presented on the online GRIIS website (www.griis.org) in addition to being published through the GBIF Integrated Publishing Tool.
DOI: 10.1594/pangaea.963250
title: Unified Airborne Active and Passive Microwave Measurements over Arctic Sea Ice and Ocean during the HALO-(AC)³ Campaign in Spring 2022

description: The Halo Microwave Package (HAMP), deployed onboard the High Altitude and LOng range research aircraft (HALO), performed measurements over the Arctic ocean and sea-ice during the HALO-(AC)³ campaign in March and April 2022. After the transfer flight (RF01) from Oberpfaffenhofen (Germany), 17 research flight (RF) days started from Kiruna, Sweden and heading northwards to the Fram Strait and central Arctic. Here, HAMP measurements were taken in different weather conditions comprising high impact synoptic events such as warm air intrusions, atmospheric rivers, cold air outbreaks or polar lows. We provide a dataset of active and passive microwave HAMP measurements, i.e. from the cloud and precipitation radar and the radiometers respectively. The radar operates at a frequency of 35 GHz while the microwave radiometer measurements comprise 25 channels in the frequency range between 22 and 190 GHz. Our dataset delivers time-series of brightness temperatures from the radiometers, and the radar reflectivity factor and linear depolarization ratio from the radar in a unified format. The unified and processed dataset provides the post-calibrated and quality-controlled measurements from both devices in a collocated temporal 1 Hz resolution applicable for joint analysis. An adherent surface mask distinguishes between three predominant overpassed surface types (land, sea, and sea-ice). The radar measurements are further unified in a vertical grid having 30 m resolution. Our unified dataset allows for wide-spread analysis of evolving arctic cloud and moisture properties over the remote Arctic ocean.
description: ** PLEASE NOTE ** This dataset contains errors! The calibration coefficients were not correctly matched to the radiometer data, resulting in some incorrect calibrations for certain frequency channels. Please use the new version (see "Replaced by" reference).
DOI: 10.25625/zm5w4v
title: Experimental Data for: Manufacturing of irregular shapes through force control in incremental sheet forming with active medium

description: Experimental data of convex truncated pyramids and cones for the manuscript "Manufacturing of irregular shapes through force control in incremental sheet forming with active medium" by Thiery et al. (2024)
DOI: 10.5281/zenodo.3708457
title: EXpLoRa - EXperimenting with LoRa products across realistic environments

description: LoRa has gained significant momentum among industrial and research communities, with several device manufacturers adopting the LoRa technology in their IoT solutions. However, in spite of LoRa’s wide penetration, the resulting performance under realistic conditions and real-life scenarios has only recently been considered and mainly under line-of-sight environments. For instance, issues like communication across multiple floors and the performance degradation impact of interference have not been analyzed in detail. In the EXpLoRa proposal, we aim to answer the previously identified inquiries from the side of a technology adopter company, namely domX SME, which develops custom IoT monitoring solutions and considers the adoption of LoRa technology for covering the company’s needs. Through the EXpLoRa experiment, we managed to collect a first set of experimental data and familiarize with the LoRa technology and conduct an exhaustive set of experiments with LoRa-compatible devices, under realistic city-scale and varying channel conditions (range of ~35 dB, LOS/ NLOS). For the purposes of our experiment, NITOS testbed provided full access to 12 LoRa nodes and one LoRa Gateway with an additional Monitor interface to capture the prevailing channel occupancy. The set of conducted experiments employed all 12 LoRa end nodes, the 8 available channels, 3 different transmission power levels (0,7,14 dBm), 10 Transmission modes (modulation settings) and multiple payload sizes. In total, more than 100K LoRa packets were transmitted and analysed within the RSSI range of -102 and -137 dBm.
DOI: 10.5281/zenodo.3967850
title: EU License Plates Images

description: A collection of cropped vehicle license plates from across the EU (primarily Germany) for training automated license plate detection and extraction ML and OCR models. German plates are further sourced from a variety of states, allowing for sticker detection, extraction, and state classification models to be further developed. This dataset is used in the SODALITE Vehicle IoT use case for training automated license plate recognition models.
DOI: 10.5439/1763029
title: Aerosol Chemical Speciation Monitor, mentor processed, .c2

description: ARM AOS data from the Aerosol Chemical Speciation Monitor (ACSM). Data processed by the mentor.
DOI: 10.5439/2202364
title: Lidar-based cloud droplet number concentration retrievals at the ARM ENA observatory

description: Lidar-based cloud droplet number concentration retrievals for marine stratocumulus at the ENA observatory were processed using MPL and Raman lidar measurements.
DOI: 10.6073/pasta/68b50baa0a767ab33f2b7dd91948036e
title: Geochemical data from sediments and porewaters from ferruginous and meromictic Brownie Lake, Minnesota, U.S.A.

description: The dataset is comprised of analyses of sediment cores and sediment trap samples from ferruginous and meromictic Brownie Lake, Minnesota, U.S.A from January 2018 through February 2021. The dataset includes bulk sediment characteristics including water content, grain size, major and minor elements. Voltammetric scans were collected on porewaters and lake waters. Sediment porewaters were analyzed for pH, total alkalinity, ferrous iron, and dissolved sulfur species contents. Sediment samples were maintained under the exclusion of oxygen for analysis by synchrotron-based X-ray absorption spectroscopy.
DOI: 10.6073/pasta/9084185d9f0281249bb2221ca4224cdd
title: Water properties of Brownie Lake, MN and Canyon Lake, MI from 2015-2019

description: Depth profiles of water column chemical and physical properties were assessed with seasonal-scale frequency from two meromictic lakes in the upper Midwest, U.S.A. from 2015 to 2019. Brownie Lake in Minneapolis, MN and Canyon Lake in the Huron Mountains of MI both contain elevated hypolimnetic dissolved iron (i.e. “ferruginous”). Several parameters were routinely measured with deployable probes at meter or sub-meter resolution at the deepest location in each lake. Water samples were also collected for laboratory analysis.
DOI: 10.6084/m9.figshare.25287835.v2
title: Protesta Social MW (All Languages)

description: Set of 55,177 records published between 2017 and 2021 regarding digital entries, for #SocialProtest analysis.
DOI: 10.6084/m9.figshare.28004447
title: Annotations of <i>Kappaphycus striatus</i> genome

description: Gene strutural and gene functional annotations of <i>Kappaphycus striatus</i> genome.The related genome assembly of <i>Kappaphycus striatus</i> is available in NCBI.
DOI: 10.1285/i20705948v11n1p42
title: Forecasting financial short time series

description: We study the application of time series forecasting methods to massive datasets of short financial time series. In our example, the time series arise from analyzing monthly expenses and incomes in personal financial records. Differently from traditional time series forecasting applications, we work with series of very short depth (as short as 24 data points), which prevents from using classical exponential smoothing methods. However, this shortcoming is compensated by the the size of our dataset: millions of time series. The latter allows tackling the problem of time series prediction from a pattern recognition perspective. Specifically, we propose a method for short time series prediction based on time series clustering and distance-based regression. We experimentally show that this strategy leads to improved accuracy compared to exponential smoothing methods. We additionally describe the underlying big data platform developed to carry out the forecasts in an efficient manner (comparisons to millions of elements in near real-time).