cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.sep5zt
title: Occurrence Download

description: A dataset containing 78 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Agropyron mongolicum Keng"
 ]
}

 The dataset includes 78 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068211-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7483/opendata.cms.cdnu.hs2b
title: /NMSSM_XToYHTo2G2B_MX-1100_MY-650_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.17189/1519667
title: GALILEO ORBITER AT JUPITER CALIBRATED MAG HIGH RES V1.0
DOI: 10.7483/opendata.cms.nlam.sjz9
title: /NMSSM_XToYHTo2G2B_MX-1100_MY-700_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.17909/t9488n
title: Kepler LC, Q0-Q17

description: Kepler extracted light curves, all Quarters, long cadence only.
DOI: 10.25423/cmcc/blksea_reanalysis_phys_007_004
title: Black Sea Physical Reanalysis (CMEMS BS-Currents)
title: BLKSEA_REANALYSIS_PHYS_007_004

description: The CMEMS Black Sea Reanalysis physical system is based NEMO v3.4 ocean circulation model, online coupled with a variational data assimilation scheme called OceanVar, able to assimilate temperature and salinity vertical profiles provided by the UK MetOffice Hadley Center, satellite SLA along track data and satellite SST data from CMEMS associated TACs. The model has a 1/36˚ x 1/27˚ regular horizontal grid resolution and 31 unevenly spaced vertical levels.
DOI: 10.25423/cmcc/medsea_hindcast_wav_006_012
title: Mediterranean Sea Waves Hindcast (CMEMS MED-Waves)
title: MEDSEA_HINDCAST_WAV_006_012

description: MEDSEA_HINDCAST_WAV_006_012  is the multi-year product of the Mediterranean Sea Waves forecasting system. It is a multi-year wave hindcast starting from February 2006, composed by hourly wave parameters at 1/24° horizontal resolution, covering the Mediterranean Sea and extending up to -18.125W into the Atlantic Ocean. It is produced by the Mediterranean Sea Waves forecasting system, which is a wave model based on WAM Cycle 4.5.4, which has been developed as a nested sequence of two computational grids (coarse and fine) to ensure that swell propagating from the North Atlantic (NA) towards the strait of Gibraltar is correctly entering the Mediterranean Sea (MED). The coarse grid covers the North Atlantic Ocean from 75°W to 10°E and from 70° N to 10° S in 1/6° resolution while the nested fine grid covers the Mediterranean Sea from 18.125° W to 36.2917° E and from 30.1875° N to 45.9792° N with a 1/24° (~4.6km) resolution. The Med-Waves modelling system resolves the prognostic part of the wave spectrum with 24 directional and 32 logarithmically distributed frequency bins.
DOI: 10.25442/hku.27873162
title: Source data for 5 main figures in "Resistive memory-based zero-shot liquid state machine for multimodal event data learning."

description: A novel neuromorphic computing paradigm for learning cross-modal event-driven signals that pushes limits for efficient real-time knowledge generalization and achieves zero-shot transfer learning for multimodal data.
DOI: 10.48670/moi-00119
title: North West Shelf Region, Bio-Geo-Chemical, L4, monthly means and interpolated daily observation
DOI: 10.5281/zenodo.10801452
title: Mechanisms for Layered Anisotropy and Anomalous Magmatism of Alaska Subduction System Revealed by Ambient Noise Tomography and the Wave Gradiometry Method

description: Depth Coverage:  2.0 - 230.0 kmAreal Coverage:  Latitude: 54.8 to 72.0 Longitude: -168.0 to -129.0Model Description:  A high-resolution 3D azimuthal anisotropic shear wave velocity model  beneath Alaska and its surroundings on a ~50‐km grid extracted by ambient noise tomography and wave gradiometry method .

Columns in the subfile, from left to right, are latitude, longitude, shear wave velocity, fast direction, and the magnitude of anisotropy, respectively.
DOI: 10.5281/zenodo.13754984
title: OBF-Psychiatric, a motor activity dataset of patients diagnosed with major depression, schizophrenia, and ADHD

description: Mental health is vital to human well-being and its prevention strategies have a huge impact on quality of life. With new developments in sensors, it is now possible to continuously collect behavioral data which can be used to gain insights into mental health states. This has the potential to optimize psychiatric assessment and intervention processes, thereby improving patient experiences and outcomes. However, access to high quality medical data for research purposes is limited due to high costs, time, and privacy concerns, to name a few, and this is especially true for mental health related fields. To this extent, we present the "OBF-Psychiatric, a motor activity dataset of patients diagnosed with major depression, schizophrenia, and ADHD" dataset which comprises motor activity recordings of patients with bipolar and unipolar depression, schizophrenia, and ADHD (attention deficit hyperactivity disorder). The dataset also contains motor activity data from a clinical and healthy control group, making it suitable for building machine learning predictive models and other analytics. It contains recordings from 162 individuals totaling 1,565 days worth of motor activity data.
DOI: 10.5281/zenodo.7981110
title: SWECO25: Land Use and Cover (lulc)

description: The land use and cover category (SWECO25 v1.0.0) contains the "geostat25" and "wslhabmap" datasets. 

The geostat25 dataset describes the land use and cover of Switzerland. After resampling the “Downscaled Land Use/Land Cover of Switzerland” source data (Giuliani et al., 2022) to the SWECO25 grid, we generated individual layers for the 65 land use and cover classes and the 3 time periods (1992-1997, 2004-2009, and 2013-2018) that were available. For each class and period, we provided the binary maps (0 or 1) and computed 13 focal statistics layers by applying a cell-level function calculating the average percentage cover value for a given class in a circular moving window of 13 radii ranging from 25m to 5km. This dataset includes a total of 2,730 layers. Final values were rounded and multiplied by 100. 

The wslhabmap dataset (land use and cover category) describes the natural habitats of Switzerland. After rasterizing and resampling the “Habitat Map of Switzerland v1” source data (Price et al., 2021) to the SWECO25 grid, we generated individual layers for 41 categories (32 classes and 9 groups). The groups correspond to the first level of the TypoCH classification and the classes to the second level. For details on the TypoCH classification see Delarze, R., Gonseth, Y., Eggenberg, S., & Vust, M. (2015). Guide des milieux naturels de Suisse : Écologie, menaces, espèces caractéristiques. Rossolis. For each of the 41 categories, we provided the binary maps (0 or 1) and computed 13 focal statistics layers by applying a cell-level function calculating the average percentage cover value for a given category in a circular moving window of 13 radii ranging from 25m to 5km. This dataset includes a total of 574 layers. Final values were rounded and multiplied by 100.

The detailed list of layers available is provided in SWECO25_datalayers_details_lulc.csv and includes information on the category, dataset, variable name (long), variable name (short), period, sub-period, start year, end year, attribute, radii, unit, and path.

References: 

G. Giuliani, D. Rodila, N. Külling, R. Maggini, A. Lehmann, Downscaling Switzerland Land Use/Land Cover Data Using Nearest Neighbors and an Expert System. Land 11, 615 (2022).

B. Price, Huber, N., Ginzler, C., Pazúr, R., Rüetschi, M., "The Habitat Map of Switzerland v1," (Birmensdorf, Switzerland, 2021)
description: We gratefully acknowledge financial support through the Action Plan of the Swiss Biodiversity Strategy by the Federal Office for the Environment (FOEN) for financing the ValPar.CH and SwissCatchment projects. All the institutions and contributors who made the input data freely available are gratefully acknowledged.
DOI: 10.6084/m9.figshare.24944643
title: Files for Download.xlsx

description: The structure of plant-pollinator mutualistic interactions is important for pollination network stability and robustness in the face of environmental change. Even slight changes in seasonal or annual precipitation patterns can disrupt the critical plant-pollinator mutualisms that comprise healthy pollination systems, primarily through changes in the availability of floral resources. Increased instances of drought across regions, especially in the southwestern United States, is a likely threat to plant and pollinator species richness, phenology, and mutualistic associations. In this paper, we evaluate temporal changes in plant-pollinator communities of the San Francisco Peaks in northern Arizona between two years with substantially different cumulative precipitation totals. Specifically, we evaluate how plant and pollinator species abundance, richness, mutualistic interactions, and degree of pollinator generalization differed between two years, which we refer to as the “wet year” (2017) and “dry year” (2018), and how these shifts may be further impacted at three different life zones (elevation zones). We determine that plant richness and abundance decreased in the dry year, and overall pollinator species generalization increased in the dry year, with a larger number of species considered to be “core generalists”. Additionally, the timing of plant and pollinator activity periods were less consistent in the dry year; there was delayed blooming for many floral resources until after monsoon rains began, and insect activity tended to start and continue later in the season for all life zones. A greater number of pollinator species considered to be core generalists in the dry year, despite fewer floral resources until later in the season, may suggest some degree of plasticity when it comes to partner choice, which may be buffering this pollination system from community collapse when resources are scarce. With changing climate, including unpredictable precipitation worldwide, studies to uncover which pollinator species and plant-pollinator associations are most critical for community stability in drier conditions is important for informing conservation decisions on local scales.
DOI: 10.6084/m9.figshare.27282924
title: Inadequate turbulent support in low-metallicity molecular clouds

description: 1. Reduced data cubes of the new observations presented in this work
see GMPMC_line_fitscubes/;
2. The 13CO spectra and the NH2 maps
see Supp_Figures/NH2_13CO_spectrum/;
3. The Infrared/Radio images
see Supp_Figures/IR_Radio_outer_disk_clouds/;
4. Distance probability density functions (PDF) of the Galactic molecular clouds
see Supp_Figures/Distance_PDFs/.
DOI: 10.5281/zenodo.10081007
title: Humidity dependence of parameters of RSF law and AE activity
DOI: 10.7483/opendata.cms.1n8f.hydc
title: /NMSSM_XToYHTo2G2B_MX-1100_MY-700_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.63ol.6bd7
title: /NMSSM_XToYHTo2G2B_MX-1100_MY-70_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.xp8l.gdrq
title: /NMSSM_XToYHTo2G2B_MX-1100_MY-70_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.1285/i20705948v13n3p682
title: Smartphone-based interventions for employees' well-being promotion: a systematic review

description: Occupational Psychology faces challenges concerning the promotion of employees' well-being and health. The use of emergent technologies (e.g. smartphone) has revealed new opportunities to deliver effective, cheap and early interventions. By following the international PRISMA statement guidelines, this systematic review aims to bring together workplace smartphone-based interventions, targeting employees' well-being and psycho-physical health, to address the lack of studies focused on workplace settings. Results were drawn from 31 quantitative and qualitative studies, testing smartphone applications. The authors extracted multiple information for each article: focus, target, theoretical background, users' engagement and study design. Findings show the lack of theoretical background, reliable study design and the prevalence of physical health interventions. Moreover, our review identifies the importance of users' engagement for an intervention's effectiveness. It is relevant to design specific mHealth interventions, to provide employees with the skills to cope with and manage work-stress and enhance their general health and well-being.
DOI: 10.17632/bwt34c5v2z.1
title: Irish residential heating demand profiles

description: This dataset contains information on residential heating system operation in Ireland. The dataset is drawn from high frequency smart thermostats that record internal temperature, set-point values, and boiler operation data approximately every three minutes. The data covers a period of 24 months from 1 October 2019 until 30 September 2021 from 9,815 separate properties. The dataset reports aggregate data at a spatial level based on postal routing keys (Eircodes)
DOI: 10.17909/t9rp4v
title: Hubble Tarantula Treasury Project: 30DOR (HTTP)

description: HTTP is a panchromatic imaging survey of stellar populations in the Tarantula Nebula (30 Dor) in the Large Magellanic Cloud that reaches into the sub-solar mass regime (<0.5 M_solar). HTTP utilizes the capability of the Hubble Space Telescope to operate the Advanced Camera for Surveys and the Wide Field Camera 3 in parallel to study this remarkable region in the near-ultraviolet, optical, and near-infrared spectral regions, including narrow-band H alpha images. The high sensitivity, spatial resolution and broadband coverage of HTTP allow users to dissect the stellar populations and infer an accurate description of the anatomy of the Tarantula Nebula, and therefore to reconstruct for the first time the temporal and spatial evolution of a prototypical starburst on a sub-parsec scale.
DOI: 10.4121/20167a4c-b51c-422c-a30d-7580acc3125b.v1
title: Thermal Data from Málaga: Surface and Air Temperature via Mobile Station & Imaging

description: This dataset contains air and surface temperature measurements taken twice daily at 11:00 and 23:00 UTC from 26th June to 5th July 2024 (a total of 10 days) in the historical centre of Malaga, Spain. It includes detailed thermal readings from various street materials and the facades of historic buildings, offering insights into the thermal properties and responses of these elements at different times of day. This dataset provides valuable information on localized temperature variations within the historical centre, influenced by different materials and architectural styles. It can be used to model microclimate variations, evaluate the thermal behavior of both historic and contemporary materials, and inform urban planning and heritage conservation efforts<em style="color:rgb(17, 85, 204);">.</em>
DOI: 10.5281/zenodo.13239734
title: Statistical tests among groups
DOI: 10.5281/zenodo.13240040
title: Statistical tests resutls
DOI: 10.5281/zenodo.13710749
title: Data Sharing Practices in the MRC Circadian Mental Health Network.

description: This dataset supports the research conducted within the MRC Circadian Mental Health Network which assesses data sharing practices among Principal Investigators' publications in 2023. This work aims to identify trends, challenges, and inform future recommendations and policies based on the findings. The dataset includes various files that detail the methodology, data collected, and analyses performed.

 

Repository Contents:





Methods and Analysis Report - Data Sharing Practices in the MRC CMHN.pdf



This report provides the methodologies used for selecting and assessing research papers within the network, along with detailed results, tables, and discussions from the evaluation.





CMHN_All_Data.xlsx



An Excel workbook containing:



Sheet 1: All data and variables collected and analysed for this project.

Sheet 2: A README file that explains each variable and its values.







CMHN DataType Scoring.xlsx



An Excel workbook detailing:



Sheet 1: All datatypes, both code and datasets, evaluated in this study.

Sheet 2: A README explaining the variables evaluated and their specific values.







CMHN Data Extraction Survey.pdf



A copy of the Microsoft Form used to systematically evaluate data-sharing practices from selected publications, describing the structured data extraction process used.





CMHN DataType Scoring Survey.pdf



A Microsoft Form used to assess the types of data (code and datasets) shared.





Data_CSV_Code.csv



This file is the original, uncleaned dataset directly extracted from the initial response data of the Microsoft Form used in the project. It served as the primary dataset for all subsequent data analysis and code execution within the study.





CMHN Code.Rmd



An R Markdown file containing the code used for data analysis; predominantly descriptive statistics due to the limited number of papers with shared data.




Recommended Use: For comparative purposes or further analysis, researchers are encouraged to utilise the cleaned datasets available in "CMHN_All_Data.xlsx" and "CMHN DataType Scoring.xlsx."Contact: For further inquiries, please email us at bio_rdm@ed.ac.uk.
DOI: 10.6084/m9.figshare.25376299
title: <b>Insights into a correlation between magnetotactic bacteria and polymetallic nodule distribution in the </b><b>eastern central Pacific Ocean</b>

description: <b>Magnetic parameters for thirty-two </b><b>seafloor surface</b><b> sediment samples </b><b>from the </b><b>eastern central Pacific Ocean</b><b>.</b>
DOI: 10.6084/m9.figshare.28184876
title: Supplementary Material for: No consistent evidence that ageism is linked to biological aging status in the US Health and Retirement Study

description: Introduction: Ageism, defined as stereotype, prejudice, and discrimination against people based on their age, has been shown to have unfavorable impacts on health. While discrimination has often been shown to negatively impact health, whether ageism might accelerate biological aging itself is unclear.
Methods: We conducted secondary analyses of the Health and Retirement Study (HRS, 2008, 2012 and 2016 waves). Ageism was estimated using Self-Perception of Aging (SPA) and Perceived Age Discrimination (PAD). Other types of discrimination (e.g., racism, sexism) were also considered. The Everyday Discrimination Scale was used to assess PAD and other types of discrimination. Biological aging was measured through homeostatic dysregulation (HD, n=3443, 2016 wave, six measures), epigenetic age (n=1484, 2016 wave, five measures), and telomere length (n=1981, 2008 wave). Biological aging measures were modeled as a function of ageism within and across waves.
Results: Within waves, SPA score was associated with some elevated HD (e.g., β = 0.11, p &lt; 0.001, quantified by 44 biomarkers) and epigenetic age indices (e.g., β = 0.61, p &lt; 0.001, Hannum Epi Age). After controlling for comorbidities and social participation, these variables were no longer associated. Effects were similar but weaker in predicting 2016 biological aging from SPA in 2008 and 2012. PAD was not associated with biological aging measures, in contrast to other types of discrimination, which were. 
Conclusions: We found no consistent evidence linking ageism to biological aging status. Further research should investigate why; potentially, ageism has less time to become biologically embedded, compared to racism and sexism, which might be experienced throughout one’s life, but measurement challenges could also be present.
DOI: 10.6084/m9.figshare.28188719
title: Supplementary Material for: The impact of SGLT2 inhibitors on dementia onset in patients with type 2 diabetes - A meta-analysis of cohort studies

description: Introduction: Sodium-glucose cotransporter 2 (SGLT2) inhibitors have demonstrated neuroprotective effects and hold potential advantages in enhancing cognitive function. This study aims to clarify the association between SGLT2 inhibitors and the risk of dementia among individuals diagnosed with type 2 diabetes (T2D).
Methods: All cohort studies concerning the impact of SGLT2 inhibitors on dementia onset in patients with T2D were identified. The literature search encompassed PubMed, Embase, Cochrane Library, and Web of Science from establishment to Mar 2024, with no language restriction. The quality of the literature was evaluated using the Newcastle-Ottawa Scale (NOS). Meta-analysis was conducted using RevMan5.4 software, calculating pooled risk ratios (RRs) with 95% confidence intervals (CI) for dichotomous outcomes.
Results: Five cohort studies encompassing a total of 331908 patients were included in the analysis. The findings showed that individuals receiving SGLT2 inhibitors had a lower risk of dementia (I2 = 42%, P = 0.14; RR: 0.77; 95% CI: 0.71-0.84) compared to the control group. Subgroup analyses confirmed the consistent beneficial effects of SGLT2 inhibitors across different study regions (I2=0%, P=0.60) and genders (I2=0%, P=0.50).
Conclusions: SGLT2 inhibitors may reduce the dementia risk in T2D patients. Given the limitations of the study, further investigations were warranted to confirm the benefits.
DOI: 10.13020/3eks-j059
title: Minnesota Solvation Database (MNSOL) version 2012 

description: The Minnesota Solvation Database consists of a collection of 3037 experimental free energies of solvation or transfer free energies for 790 unique solutes in 92 solvents (including water) and gas-phase M06-2X/MG3S optimized molecular geometries in Cartesian coordinates for the corresponding solutes. All of the 790 solutes in this database (541 neutrals and 249 singly-charged ions) contain at most the following elements: H, C, N, O, F, Si, P, S, Cl, Br, and I.
description: The Minnesota Solvation Database and User Manual is available for download as a .zip file named MNSolDatabase-v2012.
DOI: 10.13026/d9zv-4d92
title: Chest X-ray segmentation images based on MIMIC-CXR

description: As more and more artificial intelligence (AI) or deep learning technologies
have been applied to medical image applications such as radiological finding
identification in chest X-rays (CXRs), the interpretability of the prediction
model is crucial for building trust in AI. In pulmonary pathology detection,
the CXR images with proper anatomical segmentations could aid in interpreting
the models. However, the accuracy of the auto-segmentation algorithms was not
high enough to create such a benchmark. In this project, we provided
segmentation results of 1,141 frontal-view CXRs randomly selected from the
MIMIC-CXR database. These CXRs were first processed into a pair of segmented
images with the lung lobes and the rest parts by deep learning-based
algorithms. We then manually filtered out the incorrect segmentation results.
The segmented images maybe helpful for model interpretability.