cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25592/uhhfdm.10090
title: Rainfall rates estimated from X-Band radar observations during FESSTVaL 2021

description: This data set contains rainfall rates estimated from X-band radar (WRX) observations during the Field Experiment on Sub-mesoscale Spatio-Temporal Variability in Lindenberg (FESSTVaL) from June to August 2021. This single-polarized, local area weather radar was located at the boundary layer field site of the German Weather Service (Deutscher Wetterdienst - DWD) at Falkenberg. The radar operated at an elevation angle of 2.3° with a high temporal 30 s, range 60 m, and sampling 1° resolution refining observations of the German nationwide C-band radars within a 20 km scan radius. The high-resolution rainfall rates are available as hourly NetCDF-files. Quality: <br> Several sources of radar-based errors were adjusted gradually affecting the precipitation estimate, e.g. the radar calibration, alignment, attenuation, noise, non-meteorological echoes. However, a few azimuth angles of the measurements are affected by beam blockage. The WRX’s reflectivity values are calibrated and the derived rainfall rates are evaluated to measurements of a micro rain radar (MRR) located at the Lindenberg Meteorological Observatory – Richard Assmann Observatory (MOL-RAO) of the German Weather Service (DWD). The rainfall rates of the WRX and MRR are in good agreement. Instruments: <br> local area weather radar / X-band weather radar FLK Funding: partly funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany‘s Excellence Strategy – EXC 2037 'CLICCS - Climate, Climatic Change, and Society' – Project Number: 390683824, contribution to the Center for Earth System Research and Sustainability (CEN) of Universität Hamburg; partly funded by the Hans Ertel Center for Weather Research within the project ‘Advancing the Representation of Convection across Scales (ARCS) - FKZ 4818DWDP1B.
description: Project: FESSTVaL (Field Experiment on submesoscale spatio-temporal variability in Lindenberg), a measurement campaign initiated by the Hans-Ertel-Center for Weather Research.
description: {"references": ["Lengfeld, K., Clemens, M., M\u00fcnster, H., and Ament, F.: Performance of high-resolution X-band weather radar networks \u2013 the PATTERN example, Atmos. Meas. Tech., 7, 4151\u20134166, https://doi.org/10.5194/amt-7-4151-2014, 2014", "Annika Jahnke-Bornemann, Andrea Lammert, & Felix Ament. (2022, January 19). SAMD: Data Policy for Data USERS (Version 1). http://doi.org/10.25592/uhhfdm.9824", "Jahnke-Bornemann, Annika. (2022, February 8). The SAMD Product Standard (Standardized Atmospheric Measurement Data) (Version 2.0). http://doi.org/10.25592/uhhfdm.9903"]}
DOI: 10.25592/uhhfdm.10179
title: Meteorological network observations by APOLLO and WXT weather stations during FESSTVaL 2021

description: This data set contains <strong>meteorological network observations </strong>collected during the Field Experiment on Sub-mesoscale Spatio-Temporal Variability in Lindenberg <strong>(FESSTVaL)</strong> from <strong>May to August 2021.</strong> The observational set up consisted of a ground-based network of 99 autonomous measurement stations that covered an circular area of 30 km in diameter centered around the Meteorological Observatory Lindenberg (eastern Germany; 52.16°N, 14.12°E). The primary goal of the network measurements was to observe the spatial structure of convective cold pools at sub-mesoscale resolution (100 m - 10 km). During the experiment, 82 low-cost and custom-designed APOLLO (Autonomous cold POoL LOgger) stations sampled air temperature and pressure at 1-s resolution, while 21 WXT weather stations based on commercial sensors provided additional information on relative humidity, wind speed and precipitation at 10-s resolution. The data of all network stations is stored in daily files separated after station type and measurement variable.<br> <br> <strong>Quality:</strong><br> Absolute accuracy of temperature (pressure) generally better than +/- 0.5 K (1 hPa), however, the instrument design focused on the relative accuracy of measurements. The overall data availability of temperature measurements for APOLLO (WXT) stations is 92.0 % (98.1 %). Maintenance logbook and site picutures are attached for further interpretation of measurements. <strong>Instruments:</strong> 80x APOLLO (Autonomous cold POoL LOgger) station 19x WXT weather station <strong>Location:</strong> Circular area of about 30 km in diameter centered around the Meteorological Observatory Lindenberg (eastern Germany; latitude 52.16°N, longitude 14.12°E)
description: Project: FESSTVaL (Field Experiment on submesoscale spatio-temporal variability in Lindenberg), a measurement campaign initiated by the Hans-Ertel-Center for Weather Research.
DOI: 10.25592/uhhfdm.10385
title: Vertical velocity data from vertical stare Doppler lidar, Falkenberg, FESSTVaL campaign 2020/2021

description: The dataset contains the level 1 and level 2 data of vertical stare mode Doppler lidar during the FESSTVaL campaign 2020/2021. The dataset is retrieved from Halo Photonics Streamline XR Doppler lidar 161 during FESSTVaL 2020 and Doppler lidar 146 for FESSTVaL 2021. The data was measured during the period 1 June - 10 August 2020 and 25 May - 30 August 2021 at Falkenberg.

The data is structured in folders as level1 and level2, one file per day. L1 data contains the configuration variable of Doppler lidar and the primary variable such as vertical velocity data, attenuated backscatter and intensity data. The vertical velocity variance and the estimated mixing layer height with 30-minute resolution and vertical velocity in 1-minute resolution are stored in L2 data.

Quality:<br>
The dataset period is only available during the vertical stare mode period. The unavailable period is due to the change in the scanning configuration.
description: Project: FESSTVaL (Field Experiment on submesoscale spatio-temporal variability in Lindenberg), a measurement campaign initiated by the Hans-Ertel-Center for Weather Research.
DOI: 10.6084/m9.figshare.28632596
title: Supplementary Material for: A Randomized Controlled Crossover Trial to Determine the Effects of Three Nostril Regulated Breathing Practices on Attention and Mood

description: Background: Previous studies on nostril regulated breathing have contrasting findings attributed to lack of controls or not taking into account baseline nostril patency. This randomized crossover study on the effects of three nostril regulated yoga breathing practices and two controls on mood states and attention attempted to address these issues.
Materials and methods: Forty-five participants between 20 and 45 years (group mean age ± SD; 24.3±3.8 years; M;F 23:22) were assessed in five sessions in random order on five separate days. Nostril patency recorded pre-interventions in 225 sessions showed right nostril dominant at rest (RNDR) in 136 and left nostril dominant at rest (LNDR) in 89 sessions. The sessions were: (i) SAV or right uninostril breathing, (ii) CAV or left unnostril breathing, (iii) (AV or alternate nostril yoga breathing, (iv) breath awareness (BAW), and (v) quiet seated rest (QS). The practices were for 15 min each. Nostril patency was recorded pre, Brief mood introspection scale (BMIS), Global Vigor and Affect Scale (GVA) and Six letter cancellation test (SLCT) were recorded pre and post each session. Data analysis used general linear mixed model analysis, with fixed effects of states (pre and post), sessions and baseline nostril dominance (right or left).
Results: A significant interaction of sessions, states and nostril dominance at baseline was observed for total global affect (GA) (F9,396.194=2.871, p=0.003) which increased after SAV, CAV, AV and QS in participants right nostril dominant at rest (NDR) (padj&lt;0.05 in all cases). A significant main effect of states was observed followed by significant post-hoc pair wise comparison in right NDR for (i) pleasant mood after SAV, CAV, AV and QS, (ii) positive mood after SAV and AV, and (iii) global vigor after SAV, CAV, AV and QS, and (iv) a decrease in negative mood after CAV and AV. While the volunteers who had left NDR showed a significant increase in (i) PU after CAV, AV, and QR, (ii) PT after CAV, and (iii) GV after CAV and QS.
Conclusion: Nostril dominance pre intervention appears to influence the effects of nostril regulated yoga breathing practices.
DOI: 10.15468/dl.n5cmwv
title: Occurrence Download

description: A dataset containing 71639 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Syrphidae",
 "BasisOfRecord is one of (Specimen, Human Observation)",
 "GadmGid is one of (USA.20_1, USA.30_1, USA.46_1, USA.22_1, USA.7_1, USA.40_1, USA.33_1, USA.39_1, USA.36_1, USA.31_1, USA.8_1, USA.21_1, USA.9_1, USA.49_1, USA.47_1, USA.34_1, USA.41_1, USA.11_1, USA.10_1, USA.1_1, USA.25_1, USA.43_1, USA.18_1, USA.15_1, USA.14_1)",
 "HasCoordinate is true",
 "Year is one of (2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022)"
 ]
}

 The dataset includes 71639 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018277-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nga26z
title: Occurrence Download

description: A dataset containing 73933 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Syrphidae",
 "BasisOfRecord is one of (Specimen, Human Observation)",
 "GadmGid is one of (USA.5_1, USA.38_1, USA.48_1, USA.48_1, USA.13_1, USA.29_1, USA.3_1, USA.32_1, USA.45_1, USA.6_1, USA.44_1, USA.51_1, USA.37_1, USA.17_1, USA.42_1, USA.35_1, USA.24_1, USA.28_1, USA.19_1, USA.26_1, USA.4_1, USA.16_1, USA.50_1, USA.23_1)",
 "HasCoordinate is true",
 "Year is one of (2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022)"
 ]
}

 The dataset includes 73933 records from 41 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018266-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.1594/pangaea.887477
title: The Global Streamflow Indices and Metadata Archive - Part 1: Station catalog and Catchment boundary

description: Data catalog and catchment boundary for 30,959 daily streamflow stations included in the Global Streamflow and Metadata Archive (GSIM) project.This dataset is a compressed zip-archive containing (i) a readme file, (ii) metadata of all GSIM stations obtained from original data sources and time series, (iii) quality of catchment boundary and catchment characteristics extracted from 12 global data-products, (iv) list of stations with suspect geographical coordinates and (v) catchment boundaries for 30,935 stations that have reasonable geographical location.Please refer to the readme file for further information regarding the data product.
DOI: 10.17632/vhybvj2g9p.1
title: Selection for somatic escape variants in SERPINA1 in the liver of patients with alpha-1 anti-trypsin deficiency

description: These are large files containing somatic mutations (single base substitutions and small indels) from whole-genome and exome sequencing data, required to reproduce analysis in the manuscript "Selection for somatic escape variants in SERPINA1 in the liver of patients with alpha-1 anti-trypsin deficiency". The files are to be used alongside the code and smaller data files available at:
https://github.com/nataliabrz/positive_selection_in_A1AT_deficiency. The files 'exome_calls.csv' and 'wgs_calls.csv' should be placed in the 'data/calls' folder from the github repository.

The columns of the data-frame follow the usual VCF conventions for genome position numbering and describing the ref and alt entries. The 'sampleID' column encodes the laser capture microdissection ID. The 'cluster_id' column denotes the patient-specific branch on the phylogenetic tree the mutation was assigned to (in order to avoid double-counting of mutations shared between microdissections). The column 'vaf' contains the variant allele fraction of the mutation, 'Mut_Frags' contains the number of sequencing reads supporting the mutant alelle, and 'coverage' contains the total sequencing depth at the site of the mutation. The 'rho' and 'qval' columns pertain to the overdispersion parameter (rho) and its associated q value for each mutation, computed by the beta-binomial overdispersion filtering algorithm as described in the methods. The genome build for the position co-ordinates is GRCh38.
DOI: 10.48364/isimip.767747
title: ISIMIP2b Simulation Data from the Regional Fisheries & Marine Ecosystems Sector

description: This dataset contains ISIMIP2b (https://www.isimip.org, Frieler et al. 2017) simulation data from 9 fisheries and marine ecosystems models: Atlantis (SE Australia), EwE (Adriatic Sea: Coll et al. 2007, Coll et al. 2009), EwE (Baltic Sea: Niiranen et al. 2013, Tomczak et al. 2012), EwE (Cook Strait, New Zealand: Cornwall et al. 2015, Tyler et al. 2014, Tyler et al. 2015), EwE (East Bass Strait, Australia), EwE (Meditterranean Sea), EwE (NW Meditteranean Sea), EwE (North Sea: Mackinson et al. 2007), and OSMOSE (N Humboldt: Ruzicka et al. 2016).<br>With version 2.0 of this dataset, the DOI page has moved to the new ISIMIP Repository.
description: The ISIMIP2b fisheries and marine ecosystems outputs are based on simulations from fisheries and marine ecosystems models according to the ISIMIP2b protocol (https://www.isimip.org/protocol/2b/). A more detailed description of the models and model-specific amendments of the protocol are available at https://www.isimip.org/impactmodels.
DOI: 10.5281/zenodo.10040927
title: GTWS-MLrec: Global terrestrial water storage reconstruction by machine learning from 1940 to present

description: Terrestrial water storage (TWS) includes all forms of water stored on and below the land surface, and is a key determinant of global water and energy budgets. However, TWS data from measurements by the Gravity Recovery and Climate Experiment (GRACE) satellite mission are only available from 2002, limiting global and regional investigation of the long-term trends and variabilities in the terrestrial water cycle under climate change. This study presents long-term (i.e., 1940-2022) and high-resolution (i.e., 0.25°) monthly time series of TWS anomalies over the global land surface. The reconstruction is achieved by using a set of machine learning models with a large number of predictors, including climatic and hydrological variables, land use/land cover data, and vegetation indicators (e.g., leaf area index). The outcome, machine learning-reconstructed TWS estimates (i.e., GTWS-MLrec), fits well with the GRACE/GRACE-FO measurements, showing high correlation coefficients and low biases in the GRACE era. We also evaluate GTWS-MLrec with other independent datasets such as the land-ocean mass budget, large-scale water balance in 341 large river basins, and streamflow measurements at 10,168 gauges. We find that the proposed approach performs overall as well as or is more reliable than previous TWS datasets. Moreover, our reconstructions successfully reproduce the impact of climate variability, such as strong El Niño events. GTWS-MLrec dataset consists of three reconstructions based on JPL, CSR and GSFC mascons, three detrended and de-seasonalized reconstructions, and six global average TWS series over land areas, both with and without Greenland and Antarctica. Along with its extensive attributes, GTWS_MLrec can support a broad range of applications such as better understanding the global water budget, constraining and evaluating hydrological models, climate-carbon coupling, and water resources management.
Please cite the reference: Yin J, Slater L, Khouakhi A, et al. GTWS-MLrec: Global terrestrial water storage reconstruction by machine learning from 1940 to present. Earth System Science Data. 2023.
For any inquiry about the dataset, welcome to contact Dr. Jiabo Yin (jboyn@whu.edu.cn).
DOI: 10.5281/zenodo.14532823
title: Mantle melting conditions of mare lavas on South Pole–Aitken basin of lunar farside

description: supplementary dataset for the paper submitted to GRL, titled 'Mantle melting conditions of mare lavas on South Pole–Aitken basin of lunar farside'
DOI: 10.5281/zenodo.14942249
title: A glutamatergic innervation from medial area of secondary visual cortex to lateral posterior thalamic nucleus facilitates nociceptive and neuropathic pain
DOI: 10.5676/dwd_gpcc/fd_m_v7_050
title: GPCC Full Data Reanalysis Version 7.0 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 Reanalysis of monthly global land-surface precipitation based on the 75,000 stations world-wide that feature record durations of 10 years or longer. 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 V2015 in the corresponding resolution (DOI: 10.5676/DWD_GPCC/CLIM_M_V2015_050). The temporal coverage of the dataset ranges from January 1901 until December 2013. The GPCC Full Data Reanalysis 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 Reanalysis (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., trend and teleconnection analyses. 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: 10.6084/m9.figshare.26336884.v1
title: Dataset: Effects of the presence of heterospecifics and simulated drying on life history and behavioral traits in newt larvae and juveniles

description: We tested predictions about life-history variation based on the differing thermal sensitivities of differentiation and growth rates. Using a mesocosm experiment, we exposed larvae of two sympatric newt species, Ichthyosaura alpestris and Lissotriton vulgaris, to combinations of a biotic factor (the presence of heterospecifics) and an abiotic factor (simulated drying). We examined the impact of multiple stressor combinations on larval life history traits and juvenile exploration. The dataset consists of five files.<br>
DOI: 10.6084/m9.figshare.28581434
title: Supplementary Material for: Role of Raf Kinase Inhibitor Protein in Modulating Echinococcal Cyst Fluid-induced Degranulation in Bone Marrow-Derived Mast Cells

description: Objective: This study aimed to investigate the role of Raf kinase inhibitor protein (RKIP) in degranulation induced by echinococcal cyst fluid (EgCF) in bone marrow-derived mast cells (BMMCs).
Methods: Primary BMMCs were isolated and cultured from the femurs and tibias of RKIP gene knockout (KO) and wild-type (WT) C57BL/6 mice. EgCF-induced degranulation models were established for both groups. Samples of cells and supernatant were collected for analysis. Surface expression levels of CD117 and Fc-epsilon Receptor Ⅰ α (FcεRIα) were assessed. Supernatant concentrations of β-hexosaminidase, IL-4, IL-6, and tumor necrosis factor (TNF-α) were measured. Cellular mRNA levels of IL-4, IL-6, and TNF-α were quantified, and changes in RKIP protein expression during degranulation in WT BMMCs were monitored.
Results: After 4 weeks of induction culture, the double-positive rates for CD117 and FcεRIα exceeded 98% in both KO and WT BMMCs. Following sensitization, BMMCs from the KO group demonstrated significantly higher degranulation rates compared to the WT group (p &lt; 0.05). In WT BMMCs, surface RKIP protein expression progressively decreased at 1 hour, 2 hours, and 3 hours post-sensitization, corresponding with degranulation progression (p &lt; 0.05). The KO group exhibited elevated release of BMMC-related cytokines, including IL-4, IL-6, and TNF-α, compared to the WT group after sensitization (p &lt; 0.05). Similarly, transcription levels of cytokines IL-4, IL-6, and TNF-α were higher in the KO group than in the WT group following sensitization (p &lt; 0.05).
Conclusion: RKIP gene knockout resulted in an increased EgCF-induced release of cytokines and bioactive substances by BMMCs, indicating that RKIP may suppress EgCF-induced BMMC degranulation. These findings suggest that RKIP could serve as a potential therapeutic target for managing allergic reactions associated with cystic echinococcosis.
DOI: 10.6084/m9.figshare.28632596.v1
title: Supplementary Material for: A Randomized Controlled Crossover Trial to Determine the Effects of Three Nostril Regulated Breathing Practices on Attention and Mood

description: Background: Previous studies on nostril regulated breathing have contrasting findings attributed to lack of controls or not taking into account baseline nostril patency. This randomized crossover study on the effects of three nostril regulated yoga breathing practices and two controls on mood states and attention attempted to address these issues.
Materials and methods: Forty-five participants between 20 and 45 years (group mean age ± SD; 24.3±3.8 years; M;F 23:22) were assessed in five sessions in random order on five separate days. Nostril patency recorded pre-interventions in 225 sessions showed right nostril dominant at rest (RNDR) in 136 and left nostril dominant at rest (LNDR) in 89 sessions. The sessions were: (i) SAV or right uninostril breathing, (ii) CAV or left unnostril breathing, (iii) (AV or alternate nostril yoga breathing, (iv) breath awareness (BAW), and (v) quiet seated rest (QS). The practices were for 15 min each. Nostril patency was recorded pre, Brief mood introspection scale (BMIS), Global Vigor and Affect Scale (GVA) and Six letter cancellation test (SLCT) were recorded pre and post each session. Data analysis used general linear mixed model analysis, with fixed effects of states (pre and post), sessions and baseline nostril dominance (right or left).
Results: A significant interaction of sessions, states and nostril dominance at baseline was observed for total global affect (GA) (F9,396.194=2.871, p=0.003) which increased after SAV, CAV, AV and QS in participants right nostril dominant at rest (NDR) (padj&lt;0.05 in all cases). A significant main effect of states was observed followed by significant post-hoc pair wise comparison in right NDR for (i) pleasant mood after SAV, CAV, AV and QS, (ii) positive mood after SAV and AV, and (iii) global vigor after SAV, CAV, AV and QS, and (iv) a decrease in negative mood after CAV and AV. While the volunteers who had left NDR showed a significant increase in (i) PU after CAV, AV, and QR, (ii) PT after CAV, and (iii) GV after CAV and QS.
Conclusion: Nostril dominance pre intervention appears to influence the effects of nostril regulated yoga breathing practices.