cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.23708/bnmzn8
title: Replication data for - Incidence of loiasis clinical manifestations in a rural area of the Republic of Congo: results from a longitudinal prospective study (the MorLo project)

description: Loiasis is endemic in Central Africa. Despite evidence of clinical complications and increased mortality, it remains excluded from the list of neglected tropical diseases. The main manifestations are Calabar swellings (CS), Eyeworm (EW) and non-specific general symptoms such arthralgia and pruritus. We calculated incidence rates for clinical manifestations of loiasis from a 13-month study on clinical manifestations in 991 individuals living in Loa loa-endemic areas in the Republic of Congo. From September 2022 to September 2023, community health workers collected weekly symptoms from cohort participants. Detailed data on symptom duration, intensity, associated pruritus, and impact on sleep were recorded. Laboratory procedures included thick blood smear for L. loa microfilaremia measurement, creatininemia measurement and eosinophilia counts. We used multiple failure analysis and frailty models to calculate incidence rates of EW, CS, arthralgia, pruritus and absence from work (AfW) and to analyses factors associated with increased incidence of each symptom. The population-attributable fractions (PAFs) associated with loiasis were also calculated for pruritus, AfW and arthralgia.
DOI: 10.15468/dl.y4jkzg
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
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 "TaxonKey is Mammalia"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004967-250127130748423/datasets/export for details.
DOI: 10.13016/urrw-wnc8
title: Dataset for Constraining Wetland and Landfill Methane Emission Signatures Through Atmospheric Methane Clumped Isotopologue Measurements" [Paper #2024JG008249-T]

description: Described in methods section of primary paper
description: From Primary Paper: Microbial methane emissions are associated with a wide range of isotopic signatures, providing information about the sources and sinks of methane. Methods of directly sampling methane from environments such as wetlands may fail to capture the temporal and spatial variations in emissions at a specific site and time. The Keeling plot method is commonly used to infer the overarching isotopic signatures of methane sources. In this study, we have expanded the application of the Keeling plot from conventional stable isotope ratios to include novel clumped isotopologue compositions of methane. This advancement aims to provide more robust constraints on regional methane emission signatures. We analyzed methane isotopologue compositions from air samples collected above wetlands and landfills across Maryland, USA, and determined the endmember compositions for background air, wetland, and landfill sources. Our findings indicate that the isotopologue compositions of methane from regional wetland emissions exhibit seasonal variations — δ13C and δD values become less positive as winter approaches, reflecting changes in methane oxidation and production rates. The continuous monitoring of air methane isotopologue signatures will deepen our understanding of the seasonal patterns in methane emissions and contribute to refining the global methane budget, as valuable insights can be extracted from these measurements.
DOI: 10.15468/dl.5byp9c
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
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 "and" : [
 "Geometry POLYGON ((102.7072 12.51442, 102.7145 12.509, 102.7246 12.51469, 102.7328 12.51119, 102.7423 12.51892, 102.7507 12.52728, 102.7578 12.5267, 102.7654 12.52192, 102.7779 12.52126, 102.7882 12.52696, 102.7971 12.53379, 102.8061 12.52596, 102.8082 12.51258, 102.8152 12.5171, 102.8164 12.524, 102.8176 12.53549, 102.8118 12.53531, 102.8047 12.54048, 102.8062 12.54993, 102.8016 12.55563, 102.7916 12.55427, 102.7923 12.54497, 102.7924 12.53668, 102.7874 12.5318, 102.7786 12.52994, 102.7683 12.53699, 102.7619 12.54357, 102.7536 12.53636, 102.746 12.53285, 102.7342 12.5325, 102.7259 12.52516, 102.7191 12.52319, 102.7072 12.51442))",
 "TaxonKey is Mammalia"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004970-250127130748423/datasets/export for details.
DOI: 10.15468/dl.anrjzv
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
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 "TaxonKey is Mammalia"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004971-250127130748423/datasets/export for details.
DOI: 10.15468/dl.eehwke
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
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 "TaxonKey is Mammalia"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004972-250127130748423/datasets/export for details.
DOI: 10.25430/researchdata.cab.unipd.it.00001486
title: Data set for: Fault zone rocks associated with the reservoir-triggered seismicity of the Koyna-Warna area (India)

description: Chemical analyses of major elements in chlorite and calculated structural formulae, octahedral vacancies and occupancies and temperature of the trioctahedral chlorites
DOI: 10.25398/rd.northumbria.28303226
title: Do whispering minds tingle alike? Exploring the relationship between ASMR-sensitivity, trait-ASMR, and trigger preference

description: The data set includes data from an extensive sample (n=16679) of individuals who view ASMR content. Taking a data-driven k-means cluster approach, this data set identifies individuals' trait-ASMR characteristics (High / Medium / Low) based on the psychometric properties of the ASMR-15 compared with a self-classification approach based on location of reported ASMR tingles (authentic vs non-authentic ASMR propensity). Using principal component analyses, this data set also classifies 58 ASMR triggers into meaningful categories based on tingle intensity. The results demonstrate group differences in trigger categorisation predominantly in response to trait-ASMR, but not self-classification. It provides further evidence that ASMR experience should be considered on a spectrum, where a dimensional approach focusing on trait-ASMR is more informative in explaining individual differences in ASMR experience.
DOI: 10.25398/rd.northumbria.28303226.v1
title: Do whispering minds tingle alike? Exploring the relationship between ASMR-sensitivity, trait-ASMR, and trigger preference

description: The data set includes data from an extensive sample (n=16679) of individuals who view ASMR content. Taking a data-driven k-means cluster approach, this data set identifies individuals' trait-ASMR characteristics (High / Medium / Low) based on the psychometric properties of the ASMR-15 compared with a self-classification approach based on location of reported ASMR tingles (authentic vs non-authentic ASMR propensity). Using principal component analyses, this data set also classifies 58 ASMR triggers into meaningful categories based on tingle intensity. The results demonstrate group differences in trigger categorisation predominantly in response to trait-ASMR, but not self-classification. It provides further evidence that ASMR experience should be considered on a spectrum, where a dimensional approach focusing on trait-ASMR is more informative in explaining individual differences in ASMR experience.
DOI: 10.15468/dl.4gcbu6
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
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 "TaxonKey is Mammalia"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004973-250127130748423/datasets/export for details.
DOI: 10.15468/dl.fjvtrg
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((103.3074 12.50793, 103.3009 12.51072, 103.3 12.51248, 103.3054 12.51701, 103.3097 12.52249, 103.3093 12.52488, 103.3017 12.52799, 103.2926 12.53334, 103.2887 12.53977, 103.2818 12.53858, 103.2765 12.5318, 103.276 12.52692, 103.275 12.52284, 103.2731 12.51843, 103.2755 12.51361, 103.2764 12.5118, 103.2728 12.51025, 103.2682 12.50938, 103.2667 12.50644, 103.267 12.49978, 103.2622 12.49167, 103.267 12.48869, 103.2733 12.48791, 103.2856 12.48704, 103.2959 12.48681, 103.3059 12.48788, 103.3218 12.4897, 103.3297 12.49114, 103.3446 12.49324, 103.3566 12.49279, 103.3677 12.49271, 103.3736 12.49217, 103.3798 12.49168, 103.3836 12.49281, 103.3818 12.49533, 103.3747 12.50251, 103.3704 12.51148, 103.3556 12.51455, 103.346 12.51631, 103.3413 12.51589, 103.3322 12.5177, 103.3153 12.52214, 103.3137 12.51147, 103.3193 12.50409, 103.3149 12.50124, 103.3074 12.50793))",
 "TaxonKey is Mammalia"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004974-250127130748423/datasets/export for details.
DOI: 10.15468/dl.euxcd7
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((103.3796 12.38236, 103.3791 12.37757, 103.3837 12.3768, 103.398 12.38645, 103.4054 12.39893, 103.4188 12.43345, 103.41 12.43882, 103.415 12.45273, 103.4263 12.45375, 103.4431 12.46788, 103.4401 12.47775, 103.4305 12.48247, 103.4201 12.49039, 103.4136 12.49402, 103.4063 12.49206, 103.4021 12.48311, 103.405 12.47196, 103.4042 12.46223, 103.3991 12.4563, 103.3899 12.45034, 103.3853 12.43294, 103.3798 12.42413, 103.3796 12.38236))",
 "TaxonKey is Mammalia"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004975-250127130748423/datasets/export for details.
DOI: 10.6084/m9.figshare.26019373
title: Passive Sources and Diffracted Points Imaging Using Combinational Cross-correlation Imaging Condition

description: Time-reversal imaging is a critical technique for characterizing natural earthquakes and artificial sources. Traditional time reversal methods sum the extrapolated wavefields of different receivers to suppress artifacts and obtain images of the sources. Multiplication-based time-reversal imaging uses the product of extrapolated wavefields to provide source images with fewer artifacts and higher resolutions. However, although multiplication among wavefields efficiently suppresses the artifacts, sources with weaker energy are also suppressed. We combined the two imaging algorithms and proposed a combinational cross-correlation reverse time migration (CcRTM) to image multiple sources. First, the receivers were divided into several groups and independently extrapolated in reverse time. Then, n receivers were selected each time, and the geometric mean between the receiver wavefields was calculated. In the third step, images of multiple sources were obtained using the arithmetic mean of all geometric mean results with different receiver combinations. Compared with multiplication-based source location methods, our method retains the root in the geometric mean to preserve the amplitude ratio between the sources. CcRTM can be applied to image diffractions by considering subsurface small-scale diffractors as secondary sources enabling the detection of anomalies smaller than the wavelength limit. To suppress the reflection energy, we introduced an excitation time to restrict the imaging time. Synthetic and field examples demonstrated the accuracy and efficiency of the proposed imaging method.
DOI: 10.1594/pangaea.924795
title: Climate variables and oxygen isotope ratio in precipitation extracted at speleothem sites for three iHadCM3 climate model simulations over the last millennium (810CE-1850CE)

description: Here we provide time series of three isotope-enabled model simulations of the iHadCM3 Model in supplement to Bühler et al. (2021). Simulation output was extracted at SISAL v.2. sites for the last millennium (810-1850CE). The spatial resolution in the atmosphere is 2.5 by 3.75 degrees in the horizontal with 19 vertical levels, and 1.25 by 1.25 degrees in the ocean, with 20 irregularly spaced vertical levels. Details of the isotope-enabled model extension can be found in Tindall et al. (2009). The model simulations were performed with constant orbital forcing, and time-varying prescribed land cover changes, solar irradiance, volcanic aerosol optical depth and greenhouse gases (CO2, CH4, NO2). Changes in greenhouse gas forcings occur 50 years earlier than other forcings, which should not cause issues in interpretation due to the absence of large trends prior to 1800. We provide output for surface temperature, total precipitation and the precipitation-weighted oxygen isotope ratio extracted by bilinear interpolation at the cave site. To facilitate comparisons we provide both the temporally aggregated output (i.e. model output aggregated to the same temporal resolution as the speleothem data) as well as annual means.
description: These files contain the output of three ensemble members ('xnapa', 'xnapb' and 'xnapc') extracted for cave locations within the SISAL v.2. database (https://researchdata.reading.ac.uk/256/, Comas-Bru et al. (2020)). We include output for sites that pass the resolution and dating screening, meaning that have at least 2 radiometric dates (or are lamina-counted) and provide ten oxygen isotope ratio measurements within the last millennium. See the README.txt files for more details.
DOI: 10.17189/1519684
title: GALILEO JUPITER PWS DERIVED PLASMA DENSITY FULL RES V1.0
DOI: 10.17632/58ky97926k.1
title: amt-tups-data

description: Files with name starting with TuPS_Scan_xxx.x nm....txt contain the signal measured at the TuPS's output slit with a Si 20x20 mm photodiode connected to a transimpedance amplifier and a digital voltmeter (DVM). The first column is the the grating angle The second column is the mean of the photodiode signal in V measured by the DVM The third column is the standard deviation the photodiode signal in V Files with name starting with DobsonNN....txt contain the voltage signal measured across a 4.7KOhms resistor in the dobson number NN photomultiplier circuit board The first column is the TuPS emitted wavelenght in nm The second column is the mean of the photmultiplier signal in V measured by the DVM The third column is the standard deviation the photmultiplier signal in V
DOI: 10.3886/e207903v1
title: Racial Change in Suburbia: America’s Diversifying Elementary Districts and their Effect on School Segregation

description: We
examine residential demographic change using a novel dataset derived from a
geographic technique that leverages satellite imagery with 2000 and 2020 census
data. We then analyze the effects of demographic change on student isolation
and dissimilarity in elementary school districts. Our findings indicate that
most elementary districts have changed, but the changes are uneven. The number
of districts with severe white isolation declined, particularly in suburban
locales. Meanwhile, districts with severe student of color isolation increased,
particularly in urban locales. These changes indicate that increasing diversity
for white students has coincided with greater isolation for students of color.
These findings should prompt scholars to reconsider their conceptualization of
suburban school districts.
description: Smallest Geographic Unit: School district
DOI: 10.5281/zenodo.4551065
title: Climate variables and oxygen isotope ratio in precipitation extracted at speleothem sites for three iHadCM3 climate model simulations over the last millennium (810CE-1850CE)

description: Here we provide time series of three isotope-enabled model simulations of the iHadCM3 Model in supplement to Bühler et al. (2020). Simulation output was extracted at SISAL v.2. sites for the last millennium (810-1850CE). More information on the simulations can be found in the file README.txt and the paper this upload supplements.
description: Financial support for this study was given by the Deutsche Forschungsgemeinschaft (DFG, projects 316076679 and 395588486) as well as the German Federal Ministry of Education and Research (BMBF, grant no. 01LP1926C). Simulations were carried out using the ARCHER UK National Supercomputing Service (\url{http://www.archer.ac.uk}). It benefits from and contributes to the compilation efforts of the SISAL (Speleothem Isotopes Synthesis and Analysis) working group out of the Past Global Changes (PAGES) programme. We thank PAGES for their support of this activity.
description: {"references": ["B\u00fchler, J. C., Roesch, C., Kirschner, M., Sime, L., Holloway, M. D., and Rehfeld, K.: Comparison of the oxygen isotope signatures in speleothem records and iHadCM3 model simulations for the last millennium, Clim. Past Discuss. [preprint], https://doi.org/10.5194/cp-2020-121, in review, 2020."]}