cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.11482923
title: Musp

description: Broadband optical reduced scattering coefficient of different porcine organs obtained using time-domain diffuse optical spectroscopy. Measurements were performed on three different spatial locations of each organ, the mean value and the standard deviation over the three values are presented here.
DOI: 10.6084/m9.figshare.26047702
title: Supplementary Material for: Mutation characteristics of primary hyperoxaluria in the Chinese population and current international diagnosis and treatment status

description: Background: Primary hyperoxaluria (PH) is a rare autosomal recessive disorder, mainly due to the increase in endogenous oxalate production, causing a series of clinical features such as kidney stones, nephrocalcinosis, progressive impairment of renal function, and systemic oxalosis. There are three common genetic causes of glycolate metabolism anomalies. Among them, PH type 1 is the most prevalent and severe type, and early end-stage renal failure often occurs. Summary: This review summarizes primary hyperoxaluria through pathophysiology, genotype, clinical manifestation, diagnosis, and treatment options. And explore the characteristics of Chinese PH patients. Key Messages: Diagnosis of this rare disease is based on clinical symptoms, urinary or blood oxalate concentrations, liver biopsy, and genetic testing. Currently, the main treatment is massive hydration, citrate inhibition of crystallization, dialysis, liver and kidney transplantation, and pyridoxine. Recently, RNA interference drugs have also been used. In addition, technologies such as gene editing and autologous liver cell transplantation are also being developed. C.815_816insGA and c.33_34insC mutation in the AGXT gene could be a common variant in Chinese PH1 population. Mutations at the end of exon 6 account for approximately 50% of all Chinese HOGA1 mutations. Currently, the treatment of PH in China still relies mainly on symptomatic and high-throughput dialysis, with poor prognosis (especially for PH1 patients).
DOI: 10.6084/m9.figshare.26199719
title: Supplementary Material for: A de novo PRPF8 pathogenic variant in transient severe hypophosphatemia with delayed puberty and growth failure

description: Introduction: Childhood hypophosphatemia is a rare condition and may be caused by malabsorption, malignancies, or genetic factors. Prolonged hypophosphatemia leads to impaired growth and radiographic signs of rickets. 
Methods: We performed a detailed clinical and genetic evaluation of an adolescent boy with repeatedly low plasma phosphate concentrations (below 0.60 mmol/L), and growth failure.
Results: At 14 years, the patient presented with decelerating growth and delayed puberty. Biochemistry showed hypophosphatemia due to increased urinary phosphate loss; kidney function and vitamin D status were normal. Radiographs showed mild metaphyseal changes. A gene panel for known genetic hypophosphatemias was negative. Trio exome analysis followed by Sanger sequencing identified a pathogenic heterozygous de novo stop gain variant in PRPF8 gene, c.5548C&gt;T p.(Arg1850*)., in the conserved RNase H homology domain. PRPF8 encodes the pre-RNA protein 8, which has a role in RNA processing. Heterozygous PRPF8 variants have been associated with retinitis pigmentosa and neurodevelopmental disorders but not with phosphate metabolism. The patient underwent growth hormone (GH) stimulation tests which confirmed GH deficiency. Head MRI indicated partially empty sella. GH treatment was started at 15 years. Surprisingly, phosphate metabolism normalized during GH treatment, suggesting that hypophosphatemia was at least partly secondary to growth hormone deficiency.
Conclusion: In conclusion, the evaluation of an adolescent with profound long-term hypophosphatemia revealed a pituitary developmental defect associated with a stop gain variant in PRPF8. Hypophosphatemia alleviated with GH treatment. The pathological PRPF8 variant may contribute to abnormal pituitary development; however, its role in phosphate metabolism remains uncertain.
DOI: 10.6084/m9.figshare.26355937
title: Supplementary Material for: Statistical analysis plan for the Chinese Herbal medicine in Acute INtracerebral haemorrhage (CHAIN) trial

description: Introduction: The traditional Chinese medicine (TCM) herbal compound FYTF-919 (Zhong Feng Xing Nao prescription) may improve outcome from acute intracerebral hemorrhage (ICH) by reducing brain edema, hematoma absorption, and enhancement of the immune system. We outline the statistical analysis plan (SAP) for the Chinese Herbal medicine in Acute INtracerebral haemorrhage (CHAIN) study. 
Design: CHAIN is a multicenter, prospective, randomized, double-blind, placebo-controlled trial being undertaken at 20-30 hospitals in China. After the completion of eligibility checks, patients are randomly allocated to FYTF-919 (100 mL per day, oral) or matching placebo over 28 days. A sample size of 1504 patients is estimated to provide 90% power (α 0.05) for a 0.06 absolute improvement in the primary outcome of utility-weighted modified Rankin scale scores at 90 days, analyzed by general linear regression.
Methods: The statistical analysis plan was developed by the study statistician, principal investigators, international experts, and the study project manager. The plan provides details for analyzing baseline characteristics, patient management, and outcomes. It includes provisions for covariate adjustments, subgroup analysis, the handling missing data, and in the conduct of sensitivity analyzes.
Results: A predefined statistical analysis plan was established for CHAIN, facilitating transparent and verifiable analysis. 
Conclusions: The CHAIN statistical analysis plan was prospectively developed with a focus on maintaining high-quality standards of internal validity to minimise potential analysis biases. 
Trial registration: ClinicalTrials.gov (NCT05066620).
DOI: 10.6084/m9.figshare.26370238
title: Supplementary Material for: Plastic bronchitis in Noonan syndrome: further evidence suggesting a higher risk of lymphatic abnormalities in individuals harboring variants in PTPN11 residue p.Phe285

description: Introduction: Noonan syndrome (NS) is a Mendelian phenotype, member of the RASopathies, a group of clinically overlapping multisystem disorders caused by germline variants in the RAS-MAPK signaling pathway genes. Among the clinical findings in NS, lymphatic abnormalities (LA) are diagnosed in approximately 30%, mostly in individuals harboring variants in RIT1 and SOS2. This genotype-phenotype correlation is not precise and recent evidence suggests a higher prevalence of lymphatic abnormalities in individuals harboring variants on p.Phe285 residue in PTPN11, the main gene responsible for NS. Case Description: Here, we report a novel case of NS harboring the PTPN11:p.Phe285Ser variant that evolved with chylothorax and presented the rare finding of plastic bronchitis, an uncommon and underdiagnosed pulmonary disease, characterized by production of cohesive and branching casts filling the airways. We also provide a review of other individuals with NS and LA harboring variants on Phe285 residue in PTPN11 from our service and from the literature and compared its prevalence with the most commonly affected residue in PTPN11-related NS (p.Asn308), which indicated that variants in the p.Phe285 residue might predispose to LA. Conclusion: We suggest that, when this variant is identified in an individual, Clinicians should be warned of a possible higher prevalence of LA and a prompt evaluation should be performed if any clinical signs are noticed.
DOI: 10.7931/vx17-f225
title: Chlorosplenium in New Zealand and Australia
DOI: 10.21227/x46j-sk98
title: Date Fruit Dataset for Automated Harvesting and Visual Yield Estimation

description: The date fruit dataset was created to address the requirements of many applications in the pre-harvesting and harvesting stages. The two most important applications among them are automatic harvesting and visual yield estimation. The first dataset consists of 8079 images of more than 350 date bunches captured from 29 date palms. The date bunches belong to five date types: Naboot Saif, Khalas, Barhi, Meneifi, and Sullaj. The pictures of date bunches were captured using a color camera in six imaging sessions. The imaging sessions covered all date maturity stages: immature, Khalal, Rutab, and Tamar. The dataset is provided with a large degree of variations that represent the challenges occurs in a natural environment and date fruit orchards. This variation in images includes different angels and scales, different daylight conditions having poor illumination images, and date fruits covered by bags. The dataset was fully labeled according to type, maturity, and harvesting decision. We can use this dataset in many applications including fruit detection, segmentation, classification, maturity analysis, and automatic harvesting. The second dataset contains images, videos, and weight measurements to help in many applications such as yield estimation. In this dataset, we marked date bunches for selected palms, recorded 360° video for each palm, and measured their data (height, trunk circumference, total yield, number of bunches, and weight of bunches). We also captured images of each bunch from different angles before harvesting and on a graph paper after harvesting. Both datasets have been arranged with a coding scheme to simplify referring, linking, and facilitating future extensions of the dataset.
DOI: 10.3886/icpsr37816.v1
title: National Crime Victimization Survey: School Crime Supplement, [United States], 2019
title: Version 1

description: The primary purpose of the School Crime Supplement (SCS) is to obtain additional information about school-related victimizations so that policymakers; academic researchers; practitioners at the federal, state, and local levels; and special interest groups who are concerned with crime in schools can make informed decisions concerning policies and programs. The SCS asks questions related to students' experiences with, and perceptions of crime and safety at school, including preventive measures employed by schools; students' participation in after school activities; students' perception of school rules and enforcement of these rules; the presence of weapons, drugs, alcohol, and gangs in school; student bullying; hate-related incidents; and attitudinal questions relating to the fear of victimization at school. These responses are linked to the National Crime Victimization Survey (NCVS) survey instrument responses for a more complete understanding of the individual student's circumstances.
description: The data contain weights for creating national estimates.
description: Persons ages 12 to 18 who were in primary or secondary education programs leading to a high school diploma (elementary through high school), and who had been enrolled sometime during the 6 months prior to the interview, were administered the 2019 SCS questionnaire.
description: Datasets: DS1: National Crime Victimization Survey: School Crime Supplement, [United States], 2019
description: NCVS household members aged 12 through 18.
description: face-to-face interview; telephone interview
DOI: 10.34740/kaggle/dsv/9299727
title: LUFlow Network Intrusion Detection Data Set
DOI: 10.17632/vwbn2gcgv3.1
title: Data for: Seasonal variations of Carbon Dioxide, Water Vapor and Energy Fluxes in Indian tropical mangrove forest of Pichavaram.

description: Eddy covariance based - Half hourly raw and processed carbon, water, energy fluxes data for annual scale from Indian mangrove forest.
DOI: 10.15468/dl.gbwdpf
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Fritillaria obliqua Ker Gawl.",
 "HasCoordinate is true",
 "Year is greater than or equal to 2011",
 "Year is less than or equal to 2024"
 ]
}

 The dataset includes 4 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0113298-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15138/9p89-1x02
title: University of Colorado Institute of Arctic and Alpine Research (INSTAAR) Flask-Air Sample Measurements of Stable Isotopic Composition of Atmospheric Methane (dCH4-13C) at NOAA GML Global and Regional Background Sites, 1998-Present

description: The CCGG cooperative air sampling network effort began in 1967 at Niwot Ridge, Colorado. Today, the network is an international effort which includes regular discrete samples from the NOAA ESRL/GML baseline observatories, cooperative fixed sites, and commercial ships. Air samples are collected approximately weekly from a globally distributed network of sites. Samples are analyzed for Carbon Dioxide (CO2), Methane (CH4), Carbon Monoxide (CO), Hydrogen Gas (H2), Nitrous Oxide (N2O), and Sulfur Hexafluoride (SF6); and by INSTAAR for the stable isotopes of CO2 and CH4 and for many volatile organic compounds (VOC) such as ethane (C2H6), ethylene (C2H4) and propane (C3H8). Measurement data are used to identify long-term trends, seasonal variability, and spatial distribution of carbon cycle gases.
DOI: 10.17188/1266980
title: Materials Data on Y3Ga5O12 by Materials Project

description: Y3Ga5O12 crystallizes in the cubic Ia-3d space group. The structure is three-dimensional. Y3+ is bonded in a body-centered cubic geometry to eight equivalent O2- atoms. There are four shorter (2.36 Å) and four longer (2.46 Å) Y–O bond lengths. There are two inequivalent Ga3+ sites. In the first Ga3+ site, Ga3+ is bonded to four equivalent O2- atoms to form corner-sharing GaO4 tetrahedra. The corner-sharing octahedral tilt angles are 53°. All Ga–O bond lengths are 1.87 Å. In the second Ga3+ site, Ga3+ is bonded to six equivalent O2- atoms to form corner-sharing GaO6 octahedra. All Ga–O bond lengths are 2.02 Å. O2- is bonded in a 4-coordinate geometry to two equivalent Y3+ and two Ga3+ atoms.
DOI: 10.17909/t93w28
title: Kepler/EPIC

description: K2 catalog of sources in observed fields (Ecliptic Plane Input Catalog).
DOI: 10.5281/zenodo.10618978
title: Dependence on laser intensity of the number-weighted angular distribution of Compton-scattered photon beams

description: Data required to reproduce the figures and analysis presented in K. Fleck, T. Blackburn, E. Gerstmayr, M. Bruschi, P. Grutta, M. Morandin and G. Sarri, "Dependence on laser intensity of the number-weighted angular distribution of Compton-scattered photon beams"
DOI: 10.5281/zenodo.10722741
title: QG energy-aware hybrid simulations (Double-Gyre configuration)

description: QG energy-aware hybrid simulations for different set of parameters and compensating forcing; reference QG solution and the coarse-grid runs.

There are five different groups of data files containing quasi-geostrophic energy-aware hybrid simulations for different set of parameters and compensating forcing; reference quasi-geostrophic solution and the coarse-grid runs:

1) 129x129_10y_spinup50y_dt1800s_simtime2y_eta0.02_case2.tar.part*2) 29x129_10y_spinup50y_dt1800s_simtime2y_eta0.02_fast_energy_growth.tar.part*3) 129x129_10y_spinup50y_dt1800s_simtime2y_eta0.02_scales2.tar.part*4) 129x129_2y_spinup50y_dt1800s.tar.part*5) 129x129_2y_spinup50y_dt1800s_refsol.tar.part*

All files in the repository are tar-archives split into parts. Before using them, they should be merged into single files. In order to merge them one should use the Linux cat command. The data in the merged tar-files can be then extracted with the Linux tar command.
DOI: 10.5281/zenodo.11162894
title: Rewritten Media Bias News Headlines

description: This dataset was used in the paper "Rewriting Bias: Mitigating Media Bias in News Recommender Systems through Automated Rewriting" by Qin Ruan, Jin Xu, Susan Leavy, Brian Mac Namee, and Ruihai Dong, presented at the 32nd ACM Conference on User Modeling, Adaptation and Personalization (UMAP'24), July 1-4, 2024, in Cagliari, Italy. (ACM, New York, NY, USA, 10.1145/3627043.3659541).

The dataset includes seven distinct rewritten versions of news headlines generated using the following methods proposed in the paper: RADJ, RADV, RNOUN, RVERN, RALL, RG3.5, and RG4.0.

The rewriting approaches are categorised into two main categories: Word Replacement approaches and Large Language Models approaches.

1.Sentence Rewriting Using Word Replacement :



Replace Adjectives (RADJ): This approach replaces adjectives identified as contributing to bias with neutral or opposite ones.

Replace Adverbs (RADV): This approach replaces adverbs identified as contributing to bias with neutral or opposite ones.

Replace Nouns (RNOUN): This approach replaces nouns identified as contributing to bias with neutral or more general ones.

Replace Verbs (RVERB): This approach replaces verbs identified as contributing to bias with neutral or more factual ones.

Replace All (RALL): This is a combination of all the above approaches.


2.Sentence Rewriting Using Large language Models:



Sentence Rewriting using GPT-3.5 (RG3.5): This method rephrases sentences using GPT-3.5 based on a specific prompt.

Sentence Rewriting using GPT-4.0 (RG4.0): This method rephrases sentences using GPT-4.0 based on a specific prompt.


The dataset consists of original news headlines and their corrsponding rewritten versions prodcued by each of the seven approaches mentioned above. Each rewritten version aims to reduce bias while maintaining the original meaning.

 

Dataset Structure:

The dataset consists of a single file with the following columns:



NewsId: A unique identifier for each news article.

Original: The original headline of the news article.

RG3.5: The headline rewritten using the GPT-3.5 model.

RG4.0: The headline rewritten using the GPT-4.0 model.

RADJ: The headline with adjectives replaced to reduce bias.

RADV: The headline with adverbs replaced to reduce bias.

RVERB: The headline with verbs replaced to reduce bias.

RNOUN: The headline with nouns replaced to reduce bias.

RALL: The headline with adjectives, adverbs, verbs. noun replaced to reduce bias.


Usage:

This dataset can be used to study the impact of different sentence rewriting approaches on reudicng bias in enws healines. It is also suitable for researchers interested in natural language processing, media bias reduction, and the application of large language models in generative AI.

For more information, please visit https://github.com/ruanqin0706/MediaBiasinNewsRec

Contact Information: qin.ruan@ucdconnect.ie
DOI: 10.5281/zenodo.11397243
title: Asymmetries in the Southern Ocean contribution to global heat and carbon uptake

description: Supporting data files in Heat_Carbon_diag_CMIP6.tar.gz, NetCDF format :

(1) Carbon diagnostics

Ocean carbon storage (Cstorage) and uptake (Cuptake) for each model

time series of the global, north of 30N, south of 30S; four scenarios:

historical, historical with GHG, historical with aerosols, SSP2-4.5

Ocean_Cstorage_CMIP6_historical.nc

Ocean_Cstorage_CMIP6_historical_greenhouse_gases.nc

Ocean_Cstorage_CMIP6_historical_only_aerosols.nc

Ocean_Cstorage_CMIP6_ssp245.nc

Ocean_Cuptake_CMIP6_historical.nc

Ocean_Cuptake_CMIP6_historical_greenhouse_gases.nc

Ocean_Cuptake_CMIP6_historical_only_aerosols.nc

Ocean_Cuptake_CMIP6_ssp245.nc

Contributions of Southern Ocean (frac_SO) and northern ocean (frac_NO) 

carbon uptake to global carbon uptake, model mean and STD

frac_Carb_hist-GHG.nc

frac_Carb_historical.nc

frac_Carb_ssp245.nc

Carbon flux into the ocean, model mean and STD 2D fields for all 4 scenarios

Carbon_flux_Figure3_UPD.nc 

(2) Heat diagnostics at the Top of the Atmosphere (TOA)

TOA heat uptake (N) and radiative response (dR), 2D model mean and STD

for all 4 scenarios; radiative forcing (F) from balance:  N = F - dR

N_dR_hist-GHG.nc

N_dR_hist-aer.nc

N_dR_historical.nc

N_dR_ssp245.nc

N_F_hist-GHG_std.nc

N_F_hist-aer_std.nc

N_F_historical_std.nc

N_F_ssp245_std.nc

(3) Ocean heat uptake diagnostics

Ocean surface heat uptake (heat_flux), 2D fields for each model; all 4 scenarios

Spatial_heat_content_and_flux_change_historical.nc

Spatial_heat_mean_flux_change_hist_aer_and_hist_GHG.nc

Spatial_heat_mean_flux_change_historical_and_ssp245_new_dates.nc

Time series of ocean heat content anomaly (content_anom) and cumulative 

ocean surface heat flux (cumulative_flux) for each model;

global, Southern Ocean (SO) and northern ocean (north); all 4 scenarios

SO_north_and_global_allmodel_uptake_storage_and_transport_hist-GHG.nc

SO_north_and_global_allmodel_uptake_storage_and_transport_hist-aer.nc

SO_north_and_global_allmodel_uptake_storage_and_transport_historical.nc

SO_north_and_global_allmodel_uptake_storage_and_transport_ssp245.nc

Contributions of Southern Ocean (frac_SO) and northern ocean (frac_NO)

heat uptake to global heat uptake, model mean and STD

frac_OHU_hist-GHG.nc

frac_OHU_historical.nc

frac_OHU_ssp245.nc

The diagnostics is based on the model outputs from the CMIP6 simulations, 

available from the Earth System Grid Federation at the CMIP6 archive 

https://esgf-node.llnl.gov/search/cmip6
DOI: 10.5281/zenodo.8225839
title: Spectral Contamination of the 6300Å Emission in Single-Etalon Fabry-Perot Interferometers - Data

description: Raw ".fit" image data files from Santarem Brazil and from Cachoeira Paulista Brazil are included. These raw data are used to create Figures 8, 9b, 10 and 13 of the titled publication. Filenames with prefix "bb" are CCD image exposures from the Santarem Fabry-Perot interferometer (FPI). Filenames with prefix "br" are CCD image exposures from the Cachoeira Paulista FPI. All raw images including calibration images are included. Filename suffixes carry the temporal sequence number of the exposure and a text identifier of the image type. The types are "bi" (CCD bias images); "dk" (dark images); "ff" (flat field); "la" (laser); "sk" (sky).
description: funding: US National Sci9ence Foundation: AGS-2044771 US National Science Foundation: AGS-2030679 US National Science Foundation AGS-1933077 US National Science Foundation AGS-2044782 Brazilian Ministry of Science, Technology and Innovation, Brazilian Space Agency, CNPq, grant 311840/2022-1 Instituto Nacional de Ciência e Tecnologia GNSS-NavAer grants: CNPq: 465648/2014-2, FAPESP: 2017/50115-0 and CAPES: 88887.137186/2017-00)
DOI: 10.5525/gla.researchdata.1659
title: Experimental validation of a hydraulic design and control philosophies for 5th Generation District Heating and Cooling Networks
DOI: 10.57932/e815ba97-b011-405d-8c8f-a74689941101
title: Hyblean Plateau Dataset - SupMat egusphere-2024-85

description: New satellite geodetic data challenge our knowledge of the deformation mechanisms driving the active deformations affecting Southeastern Sicily. The PS-InSAR measurements evidence a generalized subsidence and an eastward tilting of the Hyblean Plateau combined with a local relative uplift along its eastern coast. To find a mechanical explanation for the present-day strain field, we investigate short and large-scale surface-to-crustal deformation processes. Geological and geophysical data suggest that the southward migration of the Calabrian subduction could be the causative geodynamic process. Amélie Viger et al. Solid Earth, 2024
DOI: 10.6084/m9.figshare.11949279
title: Epidemiological data from the COVID-19 outbreak, real-time case information

description: This database includes confirmed cases of COVID-19 in line list format. It spans the timeframe between 1 December 2019 to 5 February 2020.
DOI: 10.6084/m9.figshare.14545755
title: Metadata record for: AusTraits, a curated plant trait database for the Australian flora

description: This dataset contains key characteristics about the data described in the Data Descriptor AusTraits, a curated plant trait database for the Australian flora. <br> Contents: <br> 1. human readable metadata summary table in CSV format 2. machine readable metadata file in JSON format
DOI: 10.6084/m9.figshare.24589233
title: Procambarus_clarkia.finalGeneset20200330_updataID_updataChr.sort.gff.gz

description: Genome annotations for the red swamp crayfish <i>Procambarus clarkii</i>.