cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.14218384
title: Air/Snow temperature vertical profiles at different sites in Deception Island, Antarctica (2008-2023)

description: Air or seasonal snow temperature data collected at different heights above the ground (2.5, 5, 10, 20, 40, 80, and 160 cm), generally recorded every 3 hours between 2006 and 2023, using an array of temperature micro-loggers (iButton models by Maxim) mounted along a vertical wooden mast. These measurements were taken at various stations of the PERMATHERMAL network, managed by the University of Alcalá, Madrid, Spain, to monitor the thermal dynamics of frozen soils on Deception Island, South Shetland Islands, Antarctica.
DOI: 10.5281/zenodo.14218149
title: Air/Snow temperature vertical profiles at different sites in Livingston Island, Antarctica (2006-2023)

description: Air or seasonal snow temperature data collected at different heights above the ground (2.5, 5, 10, 20, 40, 80, and 160 cm), generally recorded every 3 hours between 2006 and 2023, using an array of temperature micro-loggers (iButton models by Maxim) mounted along a vertical wooden mast. These measurements were taken at various stations of the PERMATHERMAL network, managed by the University of Alcalá, Madrid, Spain, to monitor the thermal dynamics of frozen soils on Livingston Island, South Shetland Islands, Antarctica.
DOI: 10.5281/zenodo.14218150
title: Air/Snow temperature vertical profiles at different sites in Livingston Island, Antarctica (2006-2023)

description: Air or seasonal snow temperature data collected at different heights above the ground (2.5, 5, 10, 20, 40, 80, and 160 cm), generally recorded every 3 hours between 2006 and 2023, using an array of temperature micro-loggers (iButton models by Maxim) mounted along a vertical wooden mast. These measurements were taken at various stations of the PERMATHERMAL network, managed by the University of Alcalá, Madrid, Spain, to monitor the thermal dynamics of frozen soils on Livingston Island, South Shetland Islands, Antarctica.
DOI: 10.6084/m9.figshare.27236782
title: On the Modeling and Prediction of High-Dimensional Functional Time Series

description: We propose a two-step procedure to model and predict high-dimensional functional time series, where the number of function-valued time series <i>p</i> is large in relation to the length of time series <i>n</i>. Our first step performs an eigenanalysis of a positive definite matrix, which leads to a one-to-one linear transformation for the original high-dimensional functional time series, and the transformed curve series can be segmented into several groups such that any two subseries from any two different groups are uncorrelated both contemporaneously and serially. Consequently in our second step those groups are handled separately without the information loss on the overall linear dynamic structure. The second step is devoted to establishing a finite-dimensional dynamical structure for all the transformed functional time series within each group. Furthermore the finite-dimensional structure is represented by that of a vector time series. Modeling and forecasting for the original high-dimensional functional time series are realized via those for the vector time series in all the groups. We investigate the theoretical properties of our proposed methods, and illustrate the finite-sample performance through both extensive simulation and two real datasets. Supplementary materials for this article are available online, including a standardized description of the materials available for reproducing the work.
DOI: 10.6084/m9.figshare.27236782.v1
title: On the Modelling and Prediction of High-Dimensional Functional Time Series

description: We propose a two-step procedure to model and predict high-dimensional functional time series, where the number of function-valued time series p is large in relation to the length of time series n. Our first step performs an eigenanalysis of a positive definite matrix, which leads to a one-to-one linear transformation for the original high-dimensional functional time series, and the transformed curve series can be segmented into several groups such that any two subseries from any two different groups are uncorrelated both contemporaneously and serially. Consequently in our second step those groups are handled separately without the information loss on the overall linear dynamic structure. The second step is devoted to establishing a finite-dimensional dynamical structure for all the transformed functional time series within each group. Furthermore the finite-dimensional structure is represented by that of a vector time series. Modelling and forecasting for the original high-dimensional functional time series are realized via those for the vector time series in all the groups. We investigate the theoretical properties of our proposed methods, and illustrate the finite-sample performance through both extensive simulation and two real datasets.
DOI: 10.6084/m9.figshare.12755900
title: Data for "Behavior and Biomechanics: Flapping frequency during tandem and solo flights of Cliff Swallows"

description: <br>Data for "Behavior and Biomechanics: Flapping frequency during tandem and solo flights of Cliff Swallows"<br>Data for this project are provided as a single Zip archive with a hierarchical folder structure as follows:behavior_typerecording_dayrecording_trialswallow_xyz.csv - 3D kinematic data for the flight trajectories of cliff swallows, units = m, sampling frequency = 100 Hz<br><br>swallow_flaps.csv - frame numbers (i.e. row numbers in swallow_xyz.csv) where each bird initiates a downstrokeFor more information contact Tyson Hedrickthedrick@bio.unc.edu
DOI: 10.5284/1124483
title: Data from Historic Building Recording of the Boiler House at Marriott's Shaft, South Wheal Frances, Cornwall, November 2023 to February 2024.

description: This collection comprises images and a report from a historic building record carried out by Cornwall Archaeological Unit at Boiler House, Marriott's Shaft, South Wheal Frances, Cornwall from November 2023 to February 2024. Work was commissioned by Cormac Solutions Ltd. prior to and following the repair of a Grade II Listed boiler house within the Scheduled Monument area (List Entry No: 1005441) at Marriott's Shaft, South Wheal Frances, near Piece, Carnkie. The building adjoins the pumping engine house for Marriott's shaft and is located at NGR SW 68072 39388 within the South Wheal Frances complex which also lies within the Camborne and Redruth mining district of the World Heritage Site for Cornish mining.
DOI: 10.5281/zenodo.11125269
title: GALORE: A Global Modern Pollen dataset

description: This dataset contains 21,503 pollen assemblages from all continents, excluding Antarctica. All pollen assemblages have geographical co-ordinates and the majority have an elevation measurement. Pollen assemblages have been corrected for consistent nomenclature. The dataset was developed to evaluate palaeoclimate reconstruction techniques that use the nearest living relative approach.

 

V2 - tidied references for consistency

V3 - added additional elevation column to location file from WorldClim2.1
DOI: 10.5281/zenodo.11125270
title: GALORE: A Global Modern Pollen dataset

description: This dataset contains 21,503 pollen assemblages from all continents, excluding Antarctica. All pollen assemblages have geographical co-ordinates and the majority have an elevation measurement. Pollen assemblages have been corrected for consistent nomenclature. The dataset was developed to evaluate palaeoclimate reconstruction techniques that use the nearest living relative approach.
DOI: 10.5281/zenodo.13748279
title: GALORE: A Global Modern Pollen dataset

description: This dataset contains 21,503 pollen assemblages from all continents, excluding Antarctica. All pollen assemblages have geographical co-ordinates and the majority have an elevation measurement. Pollen assemblages have been corrected for consistent nomenclature. The dataset was developed to evaluate palaeoclimate reconstruction techniques that use the nearest living relative approach.
DOI: 10.5281/zenodo.14161411
title: GALORE: A Global Modern Pollen dataset

description: This dataset contains 21,503 pollen assemblages from all continents, excluding Antarctica. All pollen assemblages have geographical co-ordinates and the majority have an elevation measurement. Pollen assemblages have been corrected for consistent nomenclature. The dataset was developed to evaluate palaeoclimate reconstruction techniques that use the nearest living relative approach.

 

V2 - tidied references for consistency

V3 - added additional elevation column to location file from WorldClim2.1
DOI: 10.5281/zenodo.13928596
title: A multi-method study of femtosecond laser modification and ablation of amorphous hydrogenated carbon coatings

description: We report here the optical constants of ECR (MW) and RF generated a-C:H layers before and after laser irradiation. The work is described in the following publication:

https://doi.org/10.1007/s00339-024-07980-z

The data uploaded are the optical constants (n and k) of the a-C:H layers before (base) and after (ROIx) laser irradiation. Please see the article for the nomenclature of the data and for the methods applied ot produce the layers, laser shots, and OK data.
DOI: 10.5281/zenodo.13928597
title: A multi-method study of femtosecond laser modification and ablation of amorphous hydrogenated carbon coatings

description: We report here the optical constants of ECR (MW) and RF generated a-C:H layers before and after laser irradiation. The work is described in the following publication:

https://doi.org/10.1007/s00339-024-07980-z

The data uploaded are the optical constants (n and k) of the a-C:H layers before (base) and after (ROIx) laser irradiation. Please see the article for the nomenclature of the data and for the methods applied ot produce the layers, laser shots, and OK data.
DOI: 10.6084/m9.figshare.27894894
title: <b>Fundus_CIMT_2903: A Key Dataset for Advancing Ophthalmomics and Early Cardiovascular Disease Prediction</b>

description: Fundus_CIMT_2903 Dataset: The Fundus_CIMT_2903 dataset includes comprehensive data from 2,903 patients, consisting of high-resolution bilateral fundus images, carotid intima-media thickness (CIMT) measurements, and clinical information such as age and gender. The dataset was collected from the Department of Endocrinology at the Second Affiliated Hospital of Anhui Medical University between November 2016 and August 2024. It features 849 cases classified as normal (CIMT &lt; 0.9 mm) and 2,054 cases with thickened CIMT (CIMT ≥ 0.9 mm), facilitating the study of microvascular pathology and cardiovascular risk. This publicly accessible dataset provides a vital multimodal resource for advancing AI-based predictive models for cardiovascular disease, enabling the integration of fundus imaging and CIMT analysis to develop non-invasive, cost-effective screening tools.
DOI: 10.6084/m9.figshare.27894894.v1
title: <b>Fundus_CIMT_2903: A Key Dataset for Advancing Ophthalmomics and Early Cardiovascular Disease Prediction</b>

description: Fundus_CIMT_2903 Dataset: The Fundus_CIMT_2903 dataset includes comprehensive data from 2,903 patients, consisting of high-resolution bilateral fundus images, carotid intima-media thickness (CIMT) measurements, and clinical information such as age and gender. The dataset was collected from the Department of Endocrinology at the Second Affiliated Hospital of Anhui Medical University between November 2016 and August 2024. It features 849 cases classified as normal (CIMT &lt; 0.9 mm) and 2,054 cases with thickened CIMT (CIMT ≥ 0.9 mm), facilitating the study of microvascular pathology and cardiovascular risk. This publicly accessible dataset provides a vital multimodal resource for advancing AI-based predictive models for cardiovascular disease, enabling the integration of fundus imaging and CIMT analysis to develop non-invasive, cost-effective screening tools.
DOI: 10.60656/bf82688b8f7540cd
title: Custom collection of weather station data from Hyytiälä on 30 Aug 2024
DOI: 10.25403/upresearchdata.27907287
title: Functional and nutritional properties of infrared and microwave heat moisture-treated sorghum meals

description: <strong>Proximate analysis:</strong> Sorghum meal samples were analyzed for moisture, ash, and crude fat using procedures 925.10, 923.03, and 920.39, respectively, from the Association of Official Analytical Chemists (AOAC, 2019). Protein (N × 6.25) was determined using the Dumas combustion method.
<strong>Total starch content: </strong>Total starch content of the sorghum types was determined using the megazyme method. Total phenolic content: The total phenolic content was determined using the Folin-Ciocalteu method by Waterman and Mole (1994) and reported as catechin equivalent.
<strong>Tannin content:</strong> Tannin content was determined according to Price<em> et al.,</em> (1978). In brief, sorghum meal (1g) was weighed into a 25 ml beaker. Concentrated HCl in methanol (10 ml of 1% v/v) was used for the tannin extraction process by stirring on a magnetic stirrer for 2 h. Vanillin-HCl reagent was added to the extracted tannin and incubated in the dark for 20 min.
<strong>Nitrogen solubility:</strong> The nitrogen solubility index was determined according to Ogundele <em>et al</em>., (2017). Meals (1 g) were mixed for 1 hr at 30°C in 20 ml of 0.1 M NaCl solution. After centrifuging (9500 x g, 15 min), the supernatant was filtered using Whatman No.1 filter paper. Two more times, the residue from the suspension was washed in 10 ml of 0.1 M NaCl solution at pH 7. After being frozen at -10°C for the entire night, the filtrate was freeze-dried using a 13KL Instruvac Lyophilizer at Midrand, South Africa. 
<strong>Water absorption capacity and water solubility index: </strong>Sorghum meal solubility was determined using the method described by Mapengo & Emmambux, (2020). Samples of (1 g, dry basis) meal were cooked in 10 ml of distilled water at two different temperatures, 50 °C and 91 °C in a shaking water bath at 150 rpm for 30 min, with the mixture being vortexed every 5 min. The sample solution was centrifuged at 9154.3 x <em>g</em> for 15 min. 
<strong>Pasting properties: </strong>Sorghum meal samples were pasted according to Wokadala <em>et al</em>., (2012) with modification using the rheometer with a starch cell (Physica MCR 101, Anton Paar, Germany). The samples were then held at 91°C for 15 min, followed by cooling from 91°C to 50°C at a rate of 5.5 °C/min and allowed to stand for 2 min.
<strong>X-ray diffractions crystallinity: </strong>XRD was conducted using PANalytical X’pert PRO (Eindhoven, Netherlands) on native, HMT-treated, and pasted samples as described by Mapengo <em>et al.</em>, (2019) with slight modification. 
In vitro starch digestibility<em>: In vitro</em> starch digestibility of the pasted sorghum meals was done using the method described by Goñi <em>et al</em>., (1997).
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DOI: 10.25403/upresearchdata.27907287.v2
title: Functional and nutritional properties of infrared and microwave heat moisture-treated sorghum meals

description: <strong>Proximate analysis:</strong> Sorghum meal samples were analyzed for moisture, ash, and crude fat using procedures 925.10, 923.03, and 920.39, respectively, from the Association of Official Analytical Chemists (AOAC, 2019). Protein (N × 6.25) was determined using the Dumas combustion method.
<strong>Total starch content: </strong>Total starch content of the sorghum types was determined using the megazyme method. Total phenolic content: The total phenolic content was determined using the Folin-Ciocalteu method by Waterman and Mole (1994) and reported as catechin equivalent.
<strong>Tannin content:</strong> Tannin content was determined according to Price<em> et al.,</em> (1978). In brief, sorghum meal (1g) was weighed into a 25 ml beaker. Concentrated HCl in methanol (10 ml of 1% v/v) was used for the tannin extraction process by stirring on a magnetic stirrer for 2 h. Vanillin-HCl reagent was added to the extracted tannin and incubated in the dark for 20 min.
<strong>Nitrogen solubility:</strong> The nitrogen solubility index was determined according to Ogundele <em>et al</em>., (2017). Meals (1 g) were mixed for 1 hr at 30°C in 20 ml of 0.1 M NaCl solution. After centrifuging (9500 x g, 15 min), the supernatant was filtered using Whatman No.1 filter paper. Two more times, the residue from the suspension was washed in 10 ml of 0.1 M NaCl solution at pH 7. After being frozen at -10°C for the entire night, the filtrate was freeze-dried using a 13KL Instruvac Lyophilizer at Midrand, South Africa. 
<strong>Water absorption capacity and water solubility index: </strong>Sorghum meal solubility was determined using the method described by Mapengo & Emmambux, (2020). Samples of (1 g, dry basis) meal were cooked in 10 ml of distilled water at two different temperatures, 50 °C and 91 °C in a shaking water bath at 150 rpm for 30 min, with the mixture being vortexed every 5 min. The sample solution was centrifuged at 9154.3 x <em>g</em> for 15 min. 
<strong>Pasting properties: </strong>Sorghum meal samples were pasted according to Wokadala <em>et al</em>., (2012) with modification using the rheometer with a starch cell (Physica MCR 101, Anton Paar, Germany). The samples were then held at 91°C for 15 min, followed by cooling from 91°C to 50°C at a rate of 5.5 °C/min and allowed to stand for 2 min.
<strong>X-ray diffractions crystallinity: </strong>XRD was conducted using PANalytical X’pert PRO (Eindhoven, Netherlands) on native, HMT-treated, and pasted samples as described by Mapengo <em>et al.</em>, (2019) with slight modification. 
In vitro starch digestibility<em>: In vitro</em> starch digestibility of the pasted sorghum meals was done using the method described by Goñi <em>et al</em>., (1997).
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DOI: 10.25403/upresearchdata.27907287.v1
title: <b>Functional and nutritional properties of infrared and microwave heat moisture-treated sorghum meals</b>

description: <strong>Proximate analysis:</strong> Sorghum meal samples were analyzed for moisture, ash, and crude fat using procedures 925.10, 923.03, and 920.39, respectively, from the Association of Official Analytical Chemists (AOAC, 2019). Protein (N × 6.25) was determined using the Dumas combustion method.
<strong>Total starch content: </strong>Total starch content of the sorghum types was determined using the megazyme method. Total phenolic content: The total phenolic content was determined using the Folin-Ciocalteu method by Waterman and Mole (1994) and reported as catechin equivalent.
<strong>Tannin content:</strong> Tannin content was determined according to Price<em> et al.,</em> (1978). In brief, sorghum meal (1g) was weighed into a 25 ml beaker. Concentrated HCl in methanol (10 ml of 1% v/v) was used for the tannin extraction process by stirring on a magnetic stirrer for 2 h. Vanillin-HCl reagent was added to the extracted tannin and incubated in the dark for 20 min.
<strong>Nitrogen solubility:</strong> The nitrogen solubility index was determined according to Ogundele <em>et al</em>., (2017). Meals (1 g) were mixed for 1 hr at 30°C in 20 ml of 0.1 M NaCl solution. After centrifuging (9500 x g, 15 min), the supernatant was filtered using Whatman No.1 filter paper. Two more times, the residue from the suspension was washed in 10 ml of 0.1 M NaCl solution at pH 7. After being frozen at -10°C for the entire night, the filtrate was freeze-dried using a 13KL Instruvac Lyophilizer at Midrand, South Africa. 
<strong>Water absorption capacity and water solubility index: </strong>Sorghum meal solubility was determined using the method described by Mapengo & Emmambux, (2020). Samples of (1 g, dry basis) meal were cooked in 10 ml of distilled water at two different temperatures, 50 °C and 91 °C in a shaking water bath at 150 rpm for 30 min, with the mixture being vortexed every 5 min. The sample solution was centrifuged at 9154.3 x <em>g</em> for 15 min. 
<strong>Pasting properties: </strong>Sorghum meal samples were pasted according to Wokadala <em>et al</em>., (2012) with modification using the rheometer with a starch cell (Physica MCR 101, Anton Paar, Germany). The samples were then held at 91°C for 15 min, followed by cooling from 91°C to 50°C at a rate of 5.5 °C/min and allowed to stand for 2 min.
<strong>X-ray diffractions crystallinity: </strong>XRD was conducted using PANalytical X’pert PRO (Eindhoven, Netherlands) on native, HMT-treated, and pasted samples as described by Mapengo <em>et al.</em>, (2019) with slight modification. 
In vitro starch digestibility<em>: In vitro</em> starch digestibility of the pasted sorghum meals was done using the method described by Goñi <em>et al</em>., (1997).
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DOI: 10.25418/crick.27153459
title: Data and analysis code for Rodrigues et al., PLoS Biology (2024)

description: This repository includes code and data associated with the following manuscript:Rodrigues et al. (2024). Quantitative perturbation-phenotype maps reveal nonlinear responses underlying robustness of PAR-dependent asymmetric cell division. PLoS Biology. doi: https://doi.org/10.1371/journal.pbio.3002437It includes the following:<b>Analysis code</b> (Folder: SourceCode-2024-Rodrigues-PLOS)par-segmentation-0.1.16.zip2024-Rodrigues-PLOS-PLOS_final_submission.zipMost recent versions also available at https://github.com/goehringlab/<b>Experimental Source Data</b> (Folder: SourceData-2024-Rodrigues-PLOS).All underlying quantitative data for Fig. 2-8, S1, S2.Please see manuscript and included documentation for details.
DOI: 10.6084/m9.figshare.27909741.v1
title: Supplementary Material for: FORTA Score and Negative Outcomes in Older Adults: Insights from Italian Internal Medicine Wards

description: <b><i>Objectives:</i></b> The study aimed to assess the relationship between the Fit fOR The Aged (FORTA) score – a classification system designed to evaluate medication appropriateness in older adults – and several negative outcomes, including impaired cognitive performance, functional status, adverse clinical events, and all-cause mortality at 3, 6, and 12 months after hospital discharge. <b><i>Methods:</i></b> This retrospective study utilized data from the ELICADHE cohort, a cluster-randomized trial conducted across 20 Italian internal medicine and geriatric wards. The study included patients aged 75 and older with complete FORTA score assessments. Demographics, medication history, and comorbidities were collected. The FORTA classification system assessed medication appropriateness. FORTA scores were calculated and FORTA score cut-offs (3 and 5) were applied. Statistical analyses included descriptive statistics, survival analysis with Cox regression, logistic regression, and negative-binomial regression using SAS 9.4 and RStudio 12.1. Ethical approval was obtained. <b><i>Results:</i></b> Of the 506 patients included, 171 (33.8%) were fully assessable with complete FORTA scores. The study found no significant association between higher FORTA scores and impaired cognitive performance, functional status, or mortality. Additionally, no clear relationship was observed between FORTA scores and adverse clinical events or mortality. The analysis indicated that age was a significant factor associated with mortality and adverse clinical events. <b><i>Conclusion:</i></b> The study did not find a significant relationship between the FORTA score and negative outcomes in older patients discharged from internal medicine and geriatric wards. Further research is needed to define specific FORTA score cut-off values and expand the criteria to improve medication assessment in this population.