cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.14907094
title: Examining Alzheimer's Disease Modifiable Risk Factors: Impact of Physical Activity and Diet on Neuroanatomy and Behaviour in Mice

description: Dementia, a global public health challenge, is significantly influenced by lifestyle factors such as obesity. Despite the growing body of literature, the effects of obesity and intervention strategies on the brain remain largely unexplored. The present study aimed to investigate the effects of three intervention strategies —physical activity, low-fat diet, and the combination of both— in the 3xTgAD mice, and their wild-type (WT) counterparts, both fed a high-fat diet. We hypothesized that interventions would mitigate the effects of the high-fat diet on weight, behavior, and brain anatomy on 3xTgAD and WT mice. We collected longitudinal weight measurements, and T1-weighted (T1-w) magnetic resonance images (MRI) at two, four, and six months of age. Additionally, we performed memory tests (Morris water maze and novel object recognition tests) after the last MRI scan.

In this dataset you will find:



Scans in the DICOM format in the folder DICOM_files

longitudinal weight measurements from 2 months on in weight.csv

Behavioral data (Morris Water Maze in MWM_analysis.csv and Novel Object Recognition test in NOR_analysis.csv file)

Demographic data in demographics.csv file

Mice IDs in IDs.csv

Information regarding mice attrition in IDs.pdf

Quality Control data per timepoint in QC.csv
DOI: 10.5281/zenodo.14926037
title: bagrus_meridionalis_decontaminated_FSCR.fasta.gz
DOI: 10.5281/zenodo.14926038
title: bagrus_meridionalis_decontaminated_FSCR.fasta.gz
DOI: 10.5281/zenodo.14926047
title: bagrus_orientalis_decontaminated_FSCR.fasta.gz
DOI: 10.5281/zenodo.14926048
title: bagrus_orientalis_decontaminated_FSCR.fasta.gz
DOI: 10.5281/zenodo.14926051
title: belonoglanis_brieni_decontaminated_FSCR.fasta.gz
DOI: 10.5281/zenodo.14926052
title: belonoglanis_brieni_decontaminated_FSCR.fasta.gz
DOI: 10.6082/uchicago.14634
title: NCES National Teacher and Principal Survey (NTPS)

description: The National Teacher and Principal Survey (NTPS) is a system of related questionnaires that provide descriptive data on the context of elementary and secondary education while also giving policymakers a variety of statistics on the condition of education in the United States.

The NTPS is a redesign of the Schools and Staffing Survey (SASS), which the National Center for Education Statistics (NCES) conducted from 1987 to 2011. The design of the NTPS is a product of three key goals coming out of the SASS program: flexibility, timeliness, and integration with other Department of Education collections. The NTPS collects data on core topics including teacher and principal preparation, classes taught, school characteristics, and demographics of the teacher and principal labor force every two to three years. In addition, each administration of NTPS contains rotating modules on important education topics such as: professional development, working conditions, and evaluation. This approach allows policy makers and researchers to assess trends on both stable and dynamic topics. The NTPS utilizes primarily internet and paper data collection instruments.

The NTPS is a large sample survey of America's public and private elementary and secondary schools. Charter schools are included in the study.

The NTPS consists of four questionnaires:

A Teacher Listing Form to obtain a list of teachers from each school. To reduce burden, a sample of teachers is selected from this list of all teachers at the school; 
A School Questionnaire that obtains information on the characteristics of the school; 
A Principal Questionnaire that collects information on the principal; 
A Teacher Questionnaire that collects information on the sampled teacher.
The NTPS design produces estimates at the national level and is designed to support analysis of a variety of subgroups including: elementary, middle, high, and combined; federal free or reduced-price lunch program; urban, suburban, rural, and town; and traditional public and public charter school types.
DOI: 10.5519/qd.i5b8kueo
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1170 records)
DOI: 10.6084/m9.figshare.28195140
title: Sparse Bayesian Group Factor Model for Feature Interactions in Multiple Count Tables Data

description: Group factor models have been developed to infer relationships between multiple co-occurring multivariate continuous responses. Motivated by complex count data from multi-domain microbiome studies using next-generation sequencing, we develop a sparse Bayesian group factor model (Sp-BGFM) for multiple count table data that captures the interaction between microorganisms in different domains. Sp-BGFM uses a rounded kernel mixture model using a Dirichlet process (DP) prior with log-normal mixture kernels for count vectors. A group factor model is used to model the covariance matrix of the mixing kernel that describes microorganism interaction. We construct a Dirichlet-Horseshoe (Dir-HS) shrinkage prior and use it as a joint prior for factor loading vectors. Joint sparsity induced by a Dir-HS prior greatly improves the performance in high-dimensional applications. We further model the effects of covariates on microbial abundances using regression. The semiparametric model flexibly accommodates large variability in observed counts and excess zero counts and provides a basis for robust estimation of the interaction and covariate effects. We evaluate Sp-BGFM using simulation studies and real data analysis, comparing it to popular alternatives. Our results highlight the necessity of joint sparsity induced by the Dir-HS prior, and the benefits of a flexible DP model for baseline abundances. Supplementary materials for this article are available online, including a standardized description of the materials available for reproducing the work.
DOI: 10.5281/zenodo.10787952
title: Raw GC-ToF-MS and processed data from individuals sampled in allopatric and contact zones and MZmine 3.9.0 and Rstudio analysis

description: Raw .MZML data from GC-TOF-MS analysis of Cuticular compounds of the four species of the Coenonympha arcania-gardetta hybrid species complex.

Samples are labelled with letters as follow: Species_Sex__Extract-type_SampleID. Species: A= C. arcania; G= C. gardetta; D= C. darwiniana; C= C. cephalidarwiniana. Sex: M= male; F= female. Extract type: b= Full body extract; w= Wing extract.

 

Raw .MZML data from GC-TOF-MS analysis of Cuticular compounds of individuals of the Coenonympha arcania-gardetta hybrid species complex sampled in the C. cephalidarwiniana-C. gardetta contact zone at the Vars Pass site. Samples are labelled with letters as follow: Sampling-site_SampleID. Sampling site: Psixtwo= P6; Pseventwo= P7; Peighttwo= P8.

Raw .MZML data from GC-TOF-MS analysis of Cuticular compounds of individuals of the Coenonympha arcania-gardetta hybrid species complex sampled in the C. arcania-C. gardetta contact zone at the Lac Lauvitel site. Samples are labelled with letters as follow: Species_SampleID. Species: ARC= C. arcania; GAR= C. gardetta; HYB= Putative hybrid.

Raw .MZML data from GC-TOF-MS analysis of Cuticular compounds of individuals of the Coenonympha arcania-gardetta hybrid species complex sampled in the C. arcania-C. cephalidarwiniana contact zone at the Richards valey site. Samples are labelled with letters as follow: Species_SampleID. Species: ARC= C. arcania; CEP= C. cephalidarwiniana.
DOI: 10.5281/zenodo.10787953
title: Raw GC-TOF-MS data from individuals sampled in contact zones (see Methods) from Doniol-Valcroze et al.

description: Raw .MZML data from GC-TOF-MS analysis of Cuticular compounds of individuals of the Coenonympha arcania-gardetta hybrid species complex sampled in the C. cephalidarwiniana-C. gardetta contact zone at the Vars Pass site. Samples are labelled with letters as follow: Sampling-site_SampleID. Sampling site: Psixtwo= P6; Pseventwo= P7; Peighttwo= P8.

Raw .MZML data from GC-TOF-MS analysis of Cuticular compounds of individuals of the Coenonympha arcania-gardetta hybrid species complex sampled in the C. arcania-C. gardetta contact zone at the Lac Lauvitel site. Samples are labelled with letters as follow: Species_SampleID. Species: ARC= C. arcania; GAR= C. gardetta; HYB= Putative hybrid.

Raw .MZML data from GC-TOF-MS analysis of Cuticular compounds of individuals of the Coenonympha arcania-gardetta hybrid species complex sampled in the C. arcania-C. cephalidarwiniana contact zone at the Richards valey site. Samples are labelled with letters as follow: Species_SampleID. Species: ARC= C. arcania; CEP= C. cephalidarwiniana.
DOI: 10.5281/zenodo.12732177
title: Raw GC-TOF-MS data from individuals sampled in contact zones (see Methods) from Doniol-Valcroze et al.

description: Raw .MZML data from GC-TOF-MS analysis of Cuticular compounds of individuals of the Coenonympha arcania-gardetta hybrid species complex sampled in the C. cephalidarwiniana-C. gardetta contact zone at the Vars Pass site. Samples are labelled with letters as follow: Sampling-site_SampleID. Sampling site: Psixtwo= P6; Pseventwo= P7; Peighttwo= P8.

Raw .MZML data from GC-TOF-MS analysis of Cuticular compounds of individuals of the Coenonympha arcania-gardetta hybrid species complex sampled in the C. arcania-C. gardetta contact zone at the Lac Lauvitel site. Samples are labelled with letters as follow: Species_SampleID. Species: ARC= C. arcania; GAR= C. gardetta; HYB= Putative hybrid.

Raw .MZML data from GC-TOF-MS analysis of Cuticular compounds of individuals of the Coenonympha arcania-gardetta hybrid species complex sampled in the C. arcania-C. cephalidarwiniana contact zone at the Richards valey site. Samples are labelled with letters as follow: Species_SampleID. Species: ARC= C. arcania; CEP= C. cephalidarwiniana.
DOI: 10.5281/zenodo.12742244
title: Raw GC-ToF-MS and processed data from individuals sampled in allopatric and contact zones and MZmine 3.9.0 and Rstudio analysis

description: Raw .MZML data from GC-TOF-MS analysis of Cuticular compounds of the four species of the Coenonympha arcania-gardetta hybrid species complex.

Samples are labelled with letters as follow: Species_Sex__Extract-type_SampleID. Species: A= C. arcania; G= C. gardetta; D= C. darwiniana; C= C. cephalidarwiniana. Sex: M= male; F= female. Extract type: b= Full body extract; w= Wing extract.

 

Raw .MZML data from GC-TOF-MS analysis of Cuticular compounds of individuals of the Coenonympha arcania-gardetta hybrid species complex sampled in the C. cephalidarwiniana-C. gardetta contact zone at the Vars Pass site. Samples are labelled with letters as follow: Sampling-site_SampleID. Sampling site: Psixtwo= P6; Pseventwo= P7; Peighttwo= P8.

Raw .MZML data from GC-TOF-MS analysis of Cuticular compounds of individuals of the Coenonympha arcania-gardetta hybrid species complex sampled in the C. arcania-C. gardetta contact zone at the Lac Lauvitel site. Samples are labelled with letters as follow: Species_SampleID. Species: ARC= C. arcania; GAR= C. gardetta; HYB= Putative hybrid.

Raw .MZML data from GC-TOF-MS analysis of Cuticular compounds of individuals of the Coenonympha arcania-gardetta hybrid species complex sampled in the C. arcania-C. cephalidarwiniana contact zone at the Richards valey site. Samples are labelled with letters as follow: Species_SampleID. Species: ARC= C. arcania; CEP= C. cephalidarwiniana.
DOI: 10.5281/zenodo.14923539
title: Raw GC-ToF-MS and processed data from individuals sampled in allopatric and contact zones and MZmine 3.9.0 and Rstudio analysis
DOI: 10.5281/zenodo.14840658
title: Optical polarization curve of the transitional millisecond pulsar PSR J1023+0038 during an X-ray flaring mode.

description: This data collection contains an optical polarimetric curve obtained with FORS2 at the Very Large Telescope in the R_special band for PSR J1023+0038, the prototype of the transitional millisecond pulsar class.Simultaneous observations were also performed with the IXPE X-ray polarimeter and the VLA in the radio band. The data reveal a clear anti-correlation between polarization and flux across all frequencies, with polarization decreasing as flux increases. This behavior is associated with powerful multi-band flares, enabling us to demonstrate that the origin of the flaring activity is linked to an unpolarized process, most likely due to ejections.
DOI: 10.5281/zenodo.14840659
title: Optical polarization curve of the transitional millisecond pulsar PSR J1023+0038 during an X-ray flaring mode.

description: This data collection contains an optical polarimetric curve obtained with FORS2 at the Very Large Telescope in the R_special band for PSR J1023+0038, the prototype of the transitional millisecond pulsar class.Simultaneous observations were also performed with the IXPE X-ray polarimeter and the VLA in the radio band. The data reveal a clear anti-correlation between polarization and flux across all frequencies, with polarization decreasing as flux increases. This behavior is associated with powerful multi-band flares, enabling us to demonstrate that the origin of the flaring activity is linked to an unpolarized process, most likely due to ejections.
DOI: 10.5281/zenodo.14926006
title: DNP-Enhanced 113Cd Solid-State Nuclear Magnetic Resonance Spectroscopy Reveals Tetrahedral CdSe Nanocrystals are Terminated by {100} Facets

description: Raw NMR data and Cartesian coordinates for nanocrystal models.
DOI: 10.5281/zenodo.14926007
title: DNP-Enhanced 113Cd Solid-State Nuclear Magnetic Resonance Spectroscopy Reveals Tetrahedral CdSe Nanocrystals are Terminated by {100} Facets

description: Raw NMR data and Cartesian coordinates for nanocrystal models.
DOI: 10.5281/zenodo.14906503
title: Sign Changes in Heat, Spin, and Orbital Magnon Transport Coefficients in Kitaev Ferromagnets
DOI: 10.5281/zenodo.14906504
title: Sign Changes in Heat, Spin, and Orbital Magnon Transport Coefficients in Kitaev Ferromagnets
DOI: 10.7274/28340687
title: MODELING OF MOTION-CAPTURING PRESSURE SENSITIVE PAINT METHOD FOR QUANTITATIVE SURFACE PRESSURE MEASUREMENT

description: A desire to understand unknown phenomena is a fundamental part of all scientific research. A deeper understanding expands current engineering capabilities and aids the development of future technologies. The lack of experimental data is a critical limitation for the study of unknown phenomena, especially those involving unsteady flow and nonstationary object motion. Nonintrusive experimental measurement techniques are necessary to tackle those problems. Motion-capturing PSP method is one nonintrusive experimental measurement technique that can measure unsteady surface pressure on nonstationary objects. However, this method still faces challenges when applied to measurements that have small pressure fluctuations. Various factors in flow conditions, PSP characteristics, and a measurement system significantly influence measurement accuracy. Connecting the factors to the measurement accuracy helps deepen understanding of the motion-capturing PSP method measurement and gives new insights for improving the method.
In this thesis, five theoretical models and one empirical model were proposed. The proposed models give physical interpretations that yield a deeper understanding of the photochemical physics present in PSP measurements. The models are validated using experimental data. Two scenarios of applying the validated models in practical applications are also discussed. Those enable the applications of the motion-capturing PSP method to a number of novel applications such as ballistic range experiments, rotating propellers, blast tube experiments, etc.
DOI: 10.7274/28340687.v1
title: MODELING OF MOTION-CAPTURING PRESSURE SENSITIVE PAINT METHOD FOR QUANTITATIVE SURFACE PRESSURE MEASUREMENT

description: A desire to understand unknown phenomena is a fundamental part of all scientific research. A deeper understanding expands current engineering capabilities and aids the development of future technologies. The lack of experimental data is a critical limitation for the study of unknown phenomena, especially those involving unsteady flow and nonstationary object motion. Nonintrusive experimental measurement techniques are necessary to tackle those problems. Motion-capturing PSP method is one nonintrusive experimental measurement technique that can measure unsteady surface pressure on nonstationary objects. However, this method still faces challenges when applied to measurements that have small pressure fluctuations. Various factors in flow conditions, PSP characteristics, and a measurement system significantly influence measurement accuracy. Connecting the factors to the measurement accuracy helps deepen understanding of the motion-capturing PSP method measurement and gives new insights for improving the method.
In this thesis, five theoretical models and one empirical model were proposed. The proposed models give physical interpretations that yield a deeper understanding of the photochemical physics present in PSP measurements. The models are validated using experimental data. Two scenarios of applying the validated models in practical applications are also discussed. Those enable the applications of the motion-capturing PSP method to a number of novel applications such as ballistic range experiments, rotating propellers, blast tube experiments, etc.
DOI: 10.5281/zenodo.14671593
title: GTSM-ERA5-E dataset - Data underlying the paper "Global dataset of storm surges and extreme sea levels for 1950-2024 based on the ERA5 climate reanalysis"

description: Extreme sea levels, generated by storm surges and high tides, have the potential to cause coastal flooding and erosion. Global datasets are instrumental for mapping of extreme sea levels and associated societal risks. Harnessing the backward extension of the ERA5 reanalysis, we present a dataset containing the statistics of water levels based on a global hydrodynamic model (GTSMv3.0) covering the period 1950-2024. This is an extension of a previously published dataset for 1979-2018 (Muis et al. 2020). The timeseries (10-min, hourly mean and daily maxima) are available via the Climate Data Store of ECMWF at DOI: 10.24381/cds.a6d42d60. Using this extended ERA5 dataset, we calculate percentiles and estimate extreme water levels for various return periods globally. The percentiles dataset includes the 1, 5, 10, 25, 50, 75, 90, 95 and 99th percentiles. The extreme water levels include return values for 1, 2, 5, 10, 25, 50, 75 and 100 years, and they are estimated using POT-GPD method applied with a threshold of 99th percentile of the timeseries and using a 72-hour window for declustering peak events, and MLE method for fitting the GPD parameters. The parameters (shape, scale and location) are also supplied with this dataset.

Validation of the underlying timeseries and the statistical values shows that there is a good agreement between observed and modelled sea levels, with the level of agreement being very similar to that of the previously published dataset.  The extended 75-year dataset allows for a more robust estimation of extremes, often resulting in smaller uncertainties than its 40-year precursor. The present dataset can be used in global assessments of flood risk, climate variability and climate changes.

Global modelling of water levels and extreme value analysis are associated with a number of uncertainties and limitations, that are particularly important to consider when conducting local assessments. Please refer to the Usage Notes in the corresponding manuscript (Aleksandrova et al. 2025, paper currently under review) for an overview of limitations.
DOI: 10.5281/zenodo.10671283
title: GTSM-ERA5-E dataset - Data underlying the paper "Global dataset of storm surges and extreme sea levels for 1950-2024 based on the ERA5 climate reanalysis"

description: Extreme sea levels, generated by storm surges and high tides, have the potential to cause coastal flooding and erosion. Global datasets are instrumental for mapping of extreme sea levels and associated societal risks. Harnessing the backward extension of the ERA5 reanalysis, we present a dataset containing the statistics of water levels based on a global hydrodynamic model (GTSMv3.0) covering the period 1950-2024. This is an extension of a previously published dataset for 1979-2018 (Muis et al. 2020). The timeseries (10-min, hourly mean and daily maxima) are available via the Climate Data Store of ECMWF at DOI: 10.24381/cds.a6d42d60. Using this extended ERA5 dataset, we calculate percentiles and estimate extreme water levels for various return periods globally. The percentiles dataset includes the 1, 5, 10, 25, 50, 75, 90, 95 and 99th percentiles. The extreme water levels include return values for 1, 2, 5, 10, 25, 50, 75 and 100 years, and they are estimated using POT-GPD method applied with a threshold of 99th percentile of the timeseries and using a 72-hour window for declustering peak events, and MLE method for fitting the GPD parameters. The parameters (shape, scale and location) are also supplied with this dataset.

Validation of the underlying timeseries and the statistical values shows that there is a good agreement between observed and modelled sea levels, with the level of agreement being very similar to that of the previously published dataset.  The extended 75-year dataset allows for a more robust estimation of extremes, often resulting in smaller uncertainties than its 40-year precursor. The present dataset can be used in global assessments of flood risk, climate variability and climate changes.

Global modelling of water levels and extreme value analysis are associated with a number of uncertainties and limitations, that are particularly important to consider when conducting local assessments. Please refer to the Usage Notes in the corresponding manuscript (Aleksandrova et al. 2025, paper currently under review) for an overview of limitations.
DOI: 10.5281/zenodo.10671284
title: GTSM-ERA5-E dataset - Data underlying the paper "Global dataset of storm surges and extreme sea levels for 1950-2022 based on the ERA5 climate reanalysis"

description: Extreme sea levels, generated by storm surges and high tides, have the potential to cause coastal flooding and erosion. Global datasets are instrumental for mapping of extreme sea levels and associated societal risks. Harnessing the backward extension of the ERA5 reanalysis, we present a dataset containing timeseries of water levels based on a global hydrodynamic model covering the period 1950-2022. This is an extension of a previously published dataset for 1979-2018 (Muis et al. 2020). Using the extended ERA5 dataset, we calculate daily maxima timeseries, statistical percentiles and estimate extreme sea levels for various return periods globally. Validation shows that there is a good agreement between observed and modelled sea levels, with the level of agreement being very similar to that of the previously published dataset.  The extended 73-year dataset allows for a more robust estimation of extremes, often resulting in smaller uncertainties than its 40-year precursor. The present dataset can be used for assessing flood risk, climate variability and climate changes. The background of this dataset is described in the corresponding paper (Aleksandrova et al. 2024, paper currently under review).
DOI: 10.5519/qd.af4u3hrx
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1343 records)
DOI: 10.71898/test-doi-002
title: Minimal Test Case 2
DOI: 10.5281/zenodo.14733375
title: NetCIS Tutorial Files

description: This repository holds sequencing data (fastq files) and input files to run a tutorial version of NetCIS. Sequecning data previously generated and stored publically at the NCBI Sequence Read Archive (SRA) under BioProject Accession PRJNA641272.
DOI: 10.15161/oar.it/212308
title: Carta Geologica d'Italia alla scala 1:50.000, F. 367 Tagliacozzo

description: Foglio geologico alla scala 1:50.000 basato su rilevamenti alla scala 1:10.000 (eseguiti tra il 1984 e il 1991) comprensivo di legenda, schemi a cornice, sezioni geologiche.