cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.853801_d12
title: Code.zip

description: The Global Integrated Drought Monitoring and Prediction System (GIDMaPS) provides near real-time drought information based on multiple drought indicators and input data sets (http://drought.eng.uci.edu/). In this package, the folder names indicate the drought index and the source of data (INDEX_SOURCE). Index options are: 1-PSI: Multivariate Standardized Drought Index (MSDI) based on Precipitation (P) and Soil Moisture (S). 2-SSI: Standardized Soil Moisture Index 3-SPI: Standardized Precipitation Index. In each folder the files are named as INDEXYYYYMM.asc, where YYYY= year; MM= month, and INDEX = PSI, SSI, SPI.
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GIDMaPS is presented in [Hao et al, 2014]. The deatails of MSDI, SSI and SPI are discussed in [Hao and AghaKouchak 2013a, 2013b]. GIDMaPS data has been used in [Damberg and AghaKouchak, 2013].
 
<strong>References</strong>
[1] Hao Z., AghaKouchak A., Nakhjiri N., Farahmand A., 2014, Global Integrated Drought Monitoring and Prediction System, Scientific Data, 1: 140001, doi: 10.1038/sdata.2014.1.
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[2]  Hao Z., AghaKouchak A., 2013a, A Nonparametric Multivariate Multi-Index Drought Monitoring Framework,Journal of Hydrometeorology, doi:10.1175/JHM-D-12-0160.1.
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[3]  Hao Z., AghaKouchak A., 2013b, Multivariate Standardized Drought Index: A Parametric Multi-Index Model,Advances in Water Resources, 57, 12-18, doi: 10.1016/j.advwatres.2013.03.009.
<br>
[4]  Damberg L., AghaKouchak A., 2013, Global Trends and Patterns of Droughts from Space, Theoretical and Applied Climatology, doi: 10.1007/s00704-013-1019-5. 
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DOI: 10.6084/m9.figshare.14283755.v1
title: Bidirectional Naming in Children with Autism: Effects of Stimulus Pairing Observation Procedure and Multiple Exemplar Instruction

description: ABSTRACT: This study compared the efficiency of Multiple Exemplar Instruction (MEI) and Stimulus Pairing Observation Procedure (SPOP) for establishing bidirectional naming (BiN) in four children with Autism Spectrum Disorder. A multiple probe design was used between pairs of participants. One participant showed emergence of complete BiN after having undergone the two experimental treatments (first SPOP, then MEI). Two participants demonstrated emergence of the listener component after undergoing SPOP treatment. During the final naming test, two participants demonstrated emergence only for the BiN listener component, and one participant showed an increase in both components in relation to the baseline. The efficiency of treatments in isolation, when presented in sequence, is discussed, in addition to the importance of using reinforcing stimuli in the BiN acquisition process.
DOI: 10.6084/m9.figshare.26132890.v1
title: <b>DBPFNet</b><b>: A double branch parallel fusion neural network method for land subsidence susceptibility mapping with InSAR observation data</b>

description: The compressed package (Beijing_plains.rar) contains the code files implemented by an under review paper ("DBPFNet: A double branch parallel fusion neural network method for land subsidence susceptibility mapping with InSAR observation data").The Beijing_plains.rar contains four files, the code, the Image, the Label, and the Result.
DOI: 10.6084/m9.figshare.7767695.v2
title: Landsat NDVI difference 1990 2018 Tile 6

description: Landsat NDVI difference 1990 2018 Tile 6
DOI: 10.6084/m9.figshare.8275433.v1
title: Supplementary Material for: Formulation and Artificial Sebum Effects on the Percutaneous Absorption of Zinc Pyrithione through Excised Human Skin

description: <b><i>Background:</i></b> Zinc pyrithione (ZnPT) is deposited on the skin as a fine particulate and must reach microorganisms localized in the stratum corneum and hair follicles in molecular form to exert its broad-spectrum antimicrobial/antifungal activity. Dissolution of ZnPT particles followed by molecular speciation results in the organic portion, i.e. pyrithione, being more susceptible to skin penetration than the inorganic component, i.e. zinc, or the chelate itself, i.e. ZnPT. <b><i>Objectives:</i></b> To further test the hypothesis that ZnPT skin penetration is rate-limited by dissolution and molecular speciation, the effect of different formulations and artificial sebum on the in vitro percutaneous absorption of radiolabel associated with Zn[<sup>14</sup>C]PT was investigated. <b><i>Method:</i></b> In vitro penetration of [<sup>14</sup>C]PT into and through excised human skin was measured following application of Zn[<sup>14</sup>C]PT prepared as suspensions in distinct vehicles including water-based carboxymethylcellulose (CMC), diluted body wash comprised of surfactants, and castor oil, in the presence and absence of artificial sebum. <b><i>Results:</i></b> The steady-state flux and cumulative absorption of Zn[<sup>14</sup>C]PT increased 4- to 5-fold when deposited from a body wash or castor oil compared to a water-based CMC suspension. Tritiated water flux measured before and after treatment showed that neither the surfactant vehicle nor castor oil significantly altered barrier function versus water alone. An artificial sebum layer on the skin potentiated Zn[<sup>14</sup>C]PT and <sup>3</sup>H<sub>2</sub>O absorption when dosed from both aqueous formulations, but not from castor oil. <b><i>Conclusion:</i></b> These data are consistent with the hypothesis that ZnPT percutaneous absorption, as measured by [<sup>14</sup>C]PT kinetics, is controlled by particle dissolution and molecular speciation.
DOI: 10.17632/fhbkg366f2
title: Data on lysosome biogenesis project

description: The WB original data of lysosome biogenesis project.
DOI: 10.25405/data.ncl.22093184.v1
title: LAL assay of NaOH- and heat-treated chitosan

description: Endotoxin quantification of chitosan samples treated at 180°C or with NaOH,determined by the LAL assay. N=3.
DOI: 10.17632/p24z49w44z
title: ACW1B - A Weighted Accelerometer 1B Dataset from GRACE C Satellite

description: The dataset consists of the weighted accelerometer 1B data from the GRACE C satellite of the GRACE-FO mission, sampled at 1 Hz along the three axes of the Science Reference Frame (SRF). This data was derived from the official ACC1A dataset (10 Hz) by applying a 35 mHz low-pass Gaussian filter, which concurrently downsampled the data to avoid aliasing. All time corrections from 1A to 1B align with the GRACE-FO mission handbook.

During filtering, the initial variances from the 1A measurements were propagated, and a covariance matrix was utilized to calculate the final variance for each measurement. The autocorrelation function was used to derive initial variances in 1A, incorporated into the filtering process to maintain error information in the final variances and eliminate spikes.

The dataset includes the following columns:
1. GPS Time
2. Geographic Latitude (degrees)
3. Geographic Longitude (degrees)
4. XSRF linear non-gravitational accelerations (nm/s²)
5. YSRF linear non-gravitational accelerations (nm/s²)
6. ZSRF linear non-gravitational accelerations (nm/s²)
7. Standard deviation in XSRF (nm/s²)
8. Standard deviation in YSRF (nm/s²)
9. Standard deviation in ZSRF (nm/s²)


All files are in .txt format and follow the naming convention: ACW1B_year-month-day. Single-digit months and days are not padded with a leading zero. 
The available dataset spans from August 1, 2018, to October 15, 2020, with additional dates expected to be added in the future.
DOI: 10.6084/m9.figshare.19310618.v2
title: Solar Irradiance

description: Direct Normal Irradiance (DNI) and Global Horizontal Irradiance (GHI) as a raster from the National Solar Radiation Database of the National Renewable Energy Laboratory (NREL)
DOI: 10.6084/m9.figshare.23538738.v1
title: ZeoDiff

description: This is a dataset used for the training of ZeoDiff, a diffusion model generating pure silica zeolite. This was the first work to generate porous materials using diffusion models for the first time. Structures for the training were retrieved from IZA and PCOD databases. <br> training.tar.gz : 31,173 zeolite structures used as training dataset test.tar.gz : 31,173 zeolite structures used as test dataset <br> for more information, please check 1. https://github.com/parkjunkil/ZeoDiff/
DOI: 10.6084/m9.figshare.26146540.v1
title: Metadata of the sewer methane emission study integrated with microbial information

description: The sewer system, despite being a significant source of methane emissions, has often been overlooked in current greenhouse gas inventories due to the limited availability of quantitative data. Direct monitoring in sewers can be expensive or biased due to access limitation and internal heterogeneity of sewer networks. Fortunately, since methane is almost exclusively biogenic in sewers, we demonstrate in this study the methanogenic potential can be estimated using known sewer microbiome data. By combining data mining techniques and bioinformatics databases, we developed the first data-driven method to analyze methanogenic potentials using a dataset containing 633 observations of 53 variables obtained from literature mining. The methanogenic potential in the sewer sediment was around 250-870 % higher than in the wet biofilm on the pipe and sewage water. Additionally, <i>k</i>-means clustering and principal component analysis linked higher methane emission rates (9.72 ± 51.3 kg<sub>CO2 eq</sub> m<sup>-3</sup> d<sup>-1</sup>) with smaller pipe size, higher water level, and higher potentials of sulfate reduction in the wetted pipe biofilm. These findings exhibit the possibility of connecting microbiome data with biogenic greenhouse gas, further offering insights into new approaches for understanding greenhouse gas emissions from understudied sources.
DOI: 10.6084/m9.figshare.28881632.v1
title: SDFVD.zip

description: categorization of deep fake videos and real videos of various persons
DOI: 10.6084/m9.figshare.3551391.v1
title: Appendix D. The list of species included in our comparison of survival during the dependent period and first year.

description: The list of species included in our comparison of survival during the dependent period and first year.
DOI: 10.6084/m9.figshare.19317509.v1
title: Raw data.xlsx

description: A retrospective analysis was performed on 274,436 subjects who underwent health examination in the First Affiliated Hospital of Anhui Medical University from January 1, 2018 to December 31, 2020. The prevalence of gallbladder disease in the study participants was investigated. Essential clinical items, including age, weight, height, lipid, blood cell analysis, liver function and kidney function results, and transabdominal gallbladder ultrasound, were recorded.
DOI: 10.6084/m9.figshare.24604965.v1
title: HostNet: Improved Sequence Representation in Deep Neural Network for Virus-Host Prediction

description: <br>Abstract: Background: The escalation of viruses over the past decade has brought about the need to determine their respective hosts, particularly for emergent viruses that present a potential menace to the welfare of human and animal life. Yet, the traditional means of ascertaining the host range of viruses, which involves field surveillance and laboratory experiments, is laborious and demanding. Thus, there is a pressing demand for computational tools that can predict virus-host associations with a high degree of accuracy, given the intricate nature of viral-host prediction, which grapples with issues of data imbalance and deficiency. Results: To overcome the challenges of virus-host prediction, we presentHostNet, a deep learning framework that utilizes a Transformer-CNN-BiGRUarchitecture and two enhanced sequence representation modules. The first module, K2V, constructs a background vector representation of k-mers from a broad range of virus sequences to address the issue of data deficiency. This second module, an adaptive sliding window (ASW), truncates virus sequences of various lengths to create a uniform number of informative and distinct samples for each sequence. We assess HostNet’s performance on a benchmark dataset of“Rabies lyssavirus” and an in-house dataset of “Flavivirus.” Our results show that HostNet surpasses the state-of-the-art deep learning-based host prediction method in host-prediction accuracies and F1 score. Our proposed sequence representation modules significantly enhance the deep neural network’s training generalization, performance in challenging classes, and stability on imbalanced data. Conclusions: HostNet is a promising framework for predicting virus hosts from genomic sequences, addressing challenges posed by sparse and varying-length virus sequence data. Our results demonstrate its potential as a valuable tool for viral host prediction in various biological contexts.<i>Flavivirus</i>. We built a nucleotide sequence dataset of virus genus flavivirus for invertebrate host prediction and collected their invertebrate host labels from NCBI GenBank. A total of 9626 sequences from 94 flaviviruses grouped by three invertebrate hosts, two were mosquitos: culex and Aedes, and one tick: Ixodes were selected. In the dataset, the hosts of 73 viruses were mosquitos, 18 viruses were Ixodes, and three viruses had both mosquito and tick as hosts. There were 2424, 6829, and 373 sequences for Culex, Aedes, and Ixodes, respectively. <i>Vir61</i>. For pertaining, namely, training the k-mer to vector representation model, we built a large-scale, wide-ranging, and comprehensive viral gene dataset named Vir61. The sources of virus genomes in the Vir61 dataset include virus genomes that have been published in Genbank. The Vir61 dataset contains 103,466 viral genomes for 1377 viruses belonging to 61 viral families, including Rhabdoviridae, Togaviridae, Ascoviridae, Flaviviridae, etc.
DOI: 10.6084/m9.figshare.5125885.v1
title: Supplementary Material for: Young Smokers' Interpretations of the Estimated Lung Cancer Risk Associated with a Common Genetic Variant of Low Penetrance

description: Medicine
DOI: 10.6084/m9.figshare.5129266.v1
title: Supplementary Material for: Granzymes A and B Regulate the Local Inflammatory Response during <b><i>Klebsiella pneumoniae</i></b> Pneumonia

description: <i>Klebsiella pneumoniae</i> is a common cause of hospital-acquired pneumonia. Granzymes (gzms), mainly found in cytotoxic lymphocytes, have been implicated as mediators of infection and inflammation. We here sought to investigate the role of gzmA and gzmB in the host response to <i>K. pneumoniae-</i>induced airway infection and sepsis. For this purpose, pneumonia was induced in wild-type (WT) and gzmA-deficient <i>(gzmA</i><sup><i>-/-</i></sup><i>)</i>, <i>gzmB</i><sup><i>-/-</i></sup> and <i>gzmAxB</i><sup><i>-/-</i></sup> mice by intranasal infection with <i>K. pneumoniae</i>. In WT mice, gzmA and gzmB were mainly expressed by natural killer cells. Pneumonia was associated with reduced intracellular gzmA and increased intracellular gzmB levels. Gzm deficiency had little impact on antibacterial defence: <i>gzmA</i><sup><i>-/-</i></sup> and <i>gzmAxB</i><sup><i>-/-</i></sup> mice transiently showed modestly higher bacterial loads in the lungs but not in distant organs. <i>GzmB</i><sup><i>-/-</i></sup> and, to a larger extent, <i>gzmAxB</i><sup><i>-/-</i></sup> mice displayed transiently increased lung inflammation, reflected in the semi-quantitative histology scores and levels of pro-inflammatory cytokines and chemokines. Most differences between gzm-deficient and WT mice had disappeared during late-stage pneumonia. Gzm deficiency did not impact on distant organ injury or survival. These results suggest that gzmA and gzmB partly regulate local inflammation during early pneumonia but eventually play an insignificant role during pneumosepsis by the common human pathogen <i>K. pneumoniae</i>.
DOI: 10.6084/m9.figshare.13475562.v1
title: Supplementary Material for: Physical Activity, Screen Time, and Sleep Duration of Children Aged 6–9 Years in 25 Countries: An Analysis within the WHO European Childhood Obesity Surveillance Initiative (COSI) 2015–2017

description: <b><i>Background:</i></b> Children are becoming less physically active as opportunities for safe active play, recreational activities, and active transport decrease. At the same time, sedentary screen-based activities both during school and leisure time are increasing. <b><i>Objectives:</i></b> This study aimed to evaluate physical activity (PA), screen time, and sleep duration of girls and boys aged 6–9 years in Europe using data from the WHO European Childhood Obesity Surveillance Initiative (COSI). <b><i>Method:</i></b> The fourth COSI data collection round was conducted in 2015–2017, using a standardized protocol that included a family form completed by parents with specific questions about their children’s PA, screen time, and sleep duration. <b><i>Results:</i></b> Nationally representative data from 25 countries was included and information on the PA behaviour, screen time, and sleep duration of 150,651 children was analysed. Pooled analysis showed that: 79.4% were actively playing for &gt;1 h each day, 53.9% were not members of a sport or dancing club, 50.0% walked or cycled to school each day, 60.2% engaged in screen time for &lt;2 h/day, and 84.9% slept for 9–11 h/night. Country-specific analyses of these behaviours showed pronounced differences, with national prevalences in the range of 61.7–98.3% actively playing for &gt;1 h/day, 8.2–85.6% were not members of a sport or dancing club, 17.7–94.0% walked or cycled to school each day, 32.3–80.0% engaged in screen time for &lt;2 h/day, and 50.0–95.8% slept for 9–11 h/night. <b><i>Conclusions:</i></b> The prevalence of engagement in PA and the achievement of healthy screen time and sleep duration are heterogenous across the region. Policymakers and other stakeholders, including school administrators and parents, should increase opportunities for young people to participate in daily PA as well as explore solutions to address excessive screen time and short sleep duration to improve the overall physical and mental health and well-being of children.
DOI: 10.6084/m9.figshare.27145104.v1
title: An advancing invasion by the exotic Prussian carp (<i>Carassius gibelio</i>) into Saskatchewan, Canada: current distribution and population characteristics

description: Background: The Prussian carp (Carassius gibelio) is an invasive fish species from Eurasia that was first found in North America in the Canadian province of Alberta in the early 2000s. In 2018, an established population of Prussian carp was discovered in the neighboring province of Saskatchewan, raising concern for additional spread in Canada and to the USA. Results: Prussian carp in Saskatchewan have colonized the South Saskatchewan River and tributaries and are moving towards additional connected systems to the northeast. Direct access to most of southern Saskatchewan and the USA is currently prevented only by the Qu’Appelle Dam on the South Saskatchewan River at Lake Diefenbaker. Prussian carp populations in Saskatchewan were age-stratified and ranged from hatch size (&lt;1 cm) to a maximum of 42.5 cm total length. Aging using otoliths and scales was unreliable, but the largest fish collected were likely &gt; 10 years old. Saskatchewan Prussian carp had mixed ploidies with diploid, triploid, and tetraploid individuals intermixed. In Lake Diefenbaker, only adult female and juvenile fish were detected, but males were present in the Anerley Lakes at low relative abundance. Emergence of young of the year Prussian carp began in early July and continued through August, indicating an extended period of reproduction; however, most spawning likely occurred during mid-June. The timing of spawning overlaps with that of a variety of native sucker and shiner species, but sperm donors for potential gynogenesis remain unidentified. Conclusion: Our findings suggest that invasive Prussian carp are well established in Saskatchewan and will likely use provincial waterbodies as a conduit to colonize more areas in North America.
DOI: 10.6084/m9.figshare.28912559.v1
title: Raw western blotting data and files

description: This is raw western blot data from Sabnis et al., 2025 CMLS https://pubmed.ncbi.nlm.nih.gov/39890638/
DOI: 10.6084/m9.figshare.3531557.v1
title: Appendix A. Time series diagnostic tools.

description: Time series diagnostic tools.
DOI: 10.17632/8p7x4xmc2s
title: Management of business sustainability during digital transformation on the basis of big data and artificial intelligence

description: The dataset systematizes and presents in tabular form official international IMD statistics for 2023 for 62 countries. В датасете систематизирована и приведена в табличном виде официальная международная статистика IMD за 2023 г. по 62 странам мира. Data sources (источники данных): 1) IMD World Competitiveness Booklet 2023. URL: https://imd.cld.bz/IMD-World-Competitiveness-Booklet-2023/58/ 2) IMD World Competitiveness Online. URL: https://worldcompetitiveness.imd.org/Copyright?returnUrl=%2F 3) IMD World Talent Ranking 2023. URL: https://imd.cld.bz/IMD-World-Talent-Report-20232/40/#zoom=true
DOI: 10.17632/y294ttxyw4
title: NumSBT: A subroutine for calculating spherical Bessel transforms numerically

description: Abstract A previous subroutine, LSFBTR, for computing numerical spherical Bessel (Hankel) transforms is updated with several improvements and modifications. The procedure is applicable if the input radial function and the output transform are defined on logarithmic meshes and if the input function satisfies reasonable smoothness conditions. Important aspects of the procedure are that it is simply implemented with two successive applications of the fast Fourier transform, and it yields accurate results... Title of program: NumSBT Catalogue Id: AANZ_v2_0 Nature of problem This program is a subroutine which, for a function defined numerically on a logarithmic mesh in the radial coordinate, generates the spherical Bessel, or Hankel, transform on a logarithmic mesh in the transform variable. Accurate results for large values of the transform variable are obtained, that would not be otherwise obtainable. Versions of this program held in the CPC repository in Mendeley Data AANZ_v1_0; LSFBTR; 10.1016/0010-4655(83)90057-7 AANZ_v2_0; NumSBT; 10.1016/j.cpc.2008.10.003 AANZ_v3_0; SBT, version number 3; 10.1016/j.cpc.2010.08.024 This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2019)
DOI: 10.6084/m9.figshare.15141033.v1
title: Student Understanding of Kinematics: A Qualitative Assessment

description: The data consists of original interview transcript files (10) after students were interviewed for approximately 25 mins over Zoom. Once the transcripts were created and assessed, the data were analysed. The analysed files are also available (10) for each interview. Please review the readme file for specific file information
DOI: 10.6084/m9.figshare.6100340.v1
title: Functional data

description: Functional data, as a .csv.<br> arb - an arbritary sorting vector<br> layout - location vector placing each microcosm in a 96-well plate<br> Community - identifier of the community (See supplementary)<br> Replicate - the replicate (1-4)<br> mgCO2.7 - the weight of CO2 produced by the microcosm over 7 days<br> CPM7 - counts per ml of each microcosm over 7 days<br> pgRPC.7 - mgCO2.7/CPM.7<br> ATP7 - the ATP produced after 7 days<br> mG7 - nM beta-glucosidase activity per hour after 7 days incubation<br> mN7 - nM beta-N-acetyl-D-glucosidase activity per hour after 7 days incubation <br> mX7 - nM xyloxidase activity per hour after 7 days incubation mP7 - nM phosphatase activity per hour after 7 days incubation