cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/bs8v4zczk4.1
title: Wetland distribution in the Qinghai-Tibetan Plateau and its responses to climate change and glacial retreat

description: Description: 
We simulate the current and future wetland distribution in the Qinghai Tibet Plateau using machine learning classifiers. 

Metadata:
Spatial resolution: 1 km
Spatial domain: 26-40°N and 73°E-105°E
Contains two files: 
- Wetland_distribution_Fig3.mat gives the permanent wetland and current potential wetland distribution in the Qinghai Tibet Plateau from our simulations with Random Forest and Random Under Sampling Boosting algorithm. These data can reproduce Fig3 in the paper.

- Future_wetland_Fig5.mat gives the wetland distributions under four future emission scenarios and four time spans from our simulations with Random Under Sampling Boosting algorithm. These data can reproduce Fig5 in the paper.

This is the supplementary data for the paper "Wetland distribution in the Qinghai-Tibetan Plateau and its responses to climate change and glacial retreat". Please read the paper and the associated supporting information before using the data. Please contact W. Chen (wzchen@cug.edu.cn) or T. Peng (tzpeng2002@163.com) if you have any question.
DOI: 10.17632/jtrgpctjb5.1
title: On the Role of the Matrix in the Strength of Carbon Fiber-Reinforced Ceramics

description: Finite Element Program for Fracture Mechanics of Ceramic Matrix Composites

This static dataset contains the Julia source code for a Finite Element program designed to analyze the fracture mechanics of ceramic matrix composites.

The code produced the results discussed in the paper: 
"On the role of the matrix in the strength of carbon fiber-reinforced ceramics"

If you use or find these codes useful, please cite this dataset and the paper as:

@article{VIGLIOTTI2024105227,
 title = {On the role of the matrix in the strength of carbon fiber-reinforced ceramics},
 journal = {Mechanics of Materials},
 pages = {105227},
 year = {2024},
 issn = {0167-6636},
 doi = {https://doi.org/10.1016/j.mechmat.2024.105227},
 url = {https://www.sciencedirect.com/science/article/pii/S0167663624003193},
 author = {Andrea Vigliotti and Ferdinando Auricchio and Damiano Pasini},
 keywords = {Ceramics, Composites, Multiscale mechanics, Fracture, Phase field},
}

 Description of Files

- fe_tools.jl 
 Includes the module for handling the phase field model.
 
- helper_funcs.jl
 Contains helper functions for solving the Finite Element (FE) problem.
 
- solver.jl 
 Contains the main solver.
 
- mesh_files
 Directory containing the meshes of the models.
 
- AD4SM
 Directory containing the package for handling automatic differentiation and element generation. 
 To add this package via Julia's package manager, run: 
 ```
 ]add AD4SM
 ``` 
 or 
 ```
 ]add https://github.com/avigliotti/AD4SM.jl
 ```
 
- qs_cm_hex1x1x1nL20_r500L1100lc0125lcf0500AT1nhl0500*.jl 
 Sample scripts to launch simulations for specified boundary conditions and models.

---

Solver Expectations

1. Mesh Directory:
 The solver expects to find the mesh files in the directory named `mesh_files`. This can be changed by passing the relevant parameter to the solver.
 
2. Output Directories:
 - JLD2 Files: The solver writes output files in JLD2 format to the `jld2_files` directory. 
 - Paraview Files: The solver writes Paraview-compatible files to the `vtk_files` directory. 
 
 If these directories are not present, they will be created automatically. Ensure the program has write privileges to these directories.

---

Julia Installation

Julia can be downloaded and installed from the [official website](https://julialang.org/downloads/).

---

These source code can also be found at https://github.com/avigliotti/CMC_fracture
DOI: 10.15468/dl.ygsgux
title: Occurrence Download

description: A dataset containing 1661 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Fototrampeo al interior de las áreas del Banco de Hábitat del Meta de Terrasos"
 ]
}

 The dataset includes 1661 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028643-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/wj93s8g5bc.1
title: Gendered Climate Experiences in Kenyan Pastoralist Communities.

description: When distinctions in the interaction with nature between the genders is observed a new interpretation of the relationship between nature and society is mandated. Men and women experience the effects of disasters differently, in general however, it is women who are more susceptible to greater risk and bear more significant consequences during a disaster and during the ensuring recovering period. It has been shown that the mortality rates after a disaster are higher in women while survival rates are lower. Kenya is significantly dependent on natural resources for livelihood and economic growth. Most of these activities are in the Arid and Semi- arid Lands which make up 80% of its land mass where the main source of livelihood for the dwellers is livestock production through pastoralism, small scale agriculture and tourism. Rainfall has become unpredictable and unevenly distributed adversely affecting the ecosystem causing disasters and calamities. In Kenya, and Africa in general, drought is the leading cause of natural hazards in terms of number of people affected.
Cognisant of the complex role that social structure and processes play in climate change, social analysis has gained increasing importance in emerging research. However, in the context of environmental strife and shifting livelihoods that pastoralists are confronting, recent studies have recognised that low levels of attention have been given to the intra-household and inter-household relationships and how they link to livelihood compromises and the attendant social transformations. Bearing that in mind, an analysis at the household level illuminates the domestic transformations, renegotiations, and domains that differently placed men and women are engaging in their current environment. Correspondingly, an elucidation of how these differently placed men and women are manipulating gender and larger society roles and relationships to cope with the increasingly unpredictable and unstable livelihoods will be provided. 
This study primarily relied on qualitative focus group discussions to delve into the gendered dimensions of climate adaptation, with a particular emphasis on women's coping mechanisms. Conducted across three selected study sites, these twelve genders-disaggregated focus groups provided a safe space for participants to openly discuss their experiences, perceptions, and concerns related to climate change and adaptation strategies. By separating participants by gender, the research aimed to facilitate more candid and in-depth conversations. The structured discussions encouraged participants to share detailed narratives and insights, allowing for a comprehensive exploration of the gender-specific challenges and opportunities within each community. The data also includes a quantitative demographic survey of the 113 respondents that provides insights into the whole experience of the respondents.
DOI: 10.17632/yfpfvktrxn.1
title: Additional files for article "Proteomics and RR-PTC"

description: Additional file 1. STROBE Statement—Checklist of items that should be included in reports of case-control studies.
Additional file 2. Approving letter from IEC (original and translated version).
Additional file 3. Calculation files and additional data.
DOI: 10.17632/yfpfvktrxn.2
title: Additional files for article "Proteomics and RR-PTC"

description: Additional file 1. STROBE Statement—Checklist of items that should be included in reports of case-control studies.
Additional file 2. Approving letter from IEC (original and translated version).
Additional file 3. Calculation files and additional data.
DOI: 10.17632/yfpfvktrxn.3
title: Additional files for article "Proteomics and RR-PTC"

description: Additional file 1. STROBE Statement—Checklist of items that should be included in reports of case-control studies.
Additional file 2. Approving letter from IEC (original and translated version).
Additional file 3. Calculation files and additional data.
DOI: 10.15468/dl.7vrf2z
title: Occurrence Download

description: A dataset listing the 781 species recorded in GBIF matching the query:
{
 "DatasetKey" : [
 "is Diagnóstico biótico de los predios Bel Rey, Talanqueras Lote 1, La Cascada y El Refugio para las acciones de restauración en cumplimiento del Plan de Compensación Ambiental y Plan de Inversión Forzosa de no menos del 1% del Campo Rubiales, orientadas a la gestión de la biodiversidad y sus servicios ecosistémicos en la cuenca del río Tillavá, Puerto Gaitán, Meta"
 ]
}

 The dataset's 781 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028638-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/xywf6m8grj.1
title: Fetal heart rate dataset

description: Fetal heart rate dataset for paper:Artificial Intelligence-Driven Cardiotocography: Unified Model for Signal Reconstruction, Fetal Heart Rate Analysis, and Variability Assessment
DOI: 10.15468/dl.3qaqfm
title: Occurrence Download

description: A dataset containing 325248 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((7.85803 41.29026,7.55167 40.42003,7.94247 38.45205,10.62357 38.73896,10.00047 41.43681,7.85803 41.29026))",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 325248 records from 591 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028624-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.v84xjz
title: Occurrence Download

description: A dataset containing 54 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Chennai India, olive ridley tracking (aggregated per 1-degree cell)"
 ]
}

 The dataset includes 54 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028647-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j8ake2
title: Occurrence Download

description: A dataset containing 52232 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is NHMD Invertebrate Zoology Collection"
 ]
}

 The dataset includes 52232 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028645-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fv733z
title: Occurrence Download

description: A dataset containing 8453 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Continent is North America",
 "Country is one of (United States of America, Canada)",
 "DatasetKey is iNaturalist Research-grade Observations",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Echinacea purpurea (L.) Moench"
 ]
}

 The dataset includes 8453 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028648-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7fyr3a
title: Occurrence Download

description: A dataset containing 844 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Fototrampeo al interior de las áreas del Banco de Hábitat Bosque Seco Tropical – Cañón del Río Cauca de Terrasos"
 ]
}

 The dataset includes 844 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028649-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.26527480
title: Assessing the risks of northeastern African archaeological heritage and their relationship to human–environmental processes: a Bayesian network approach

description: Preserving the archaeological heritage of North Africa is challenging due to unique anthropic and environmental processes. This study introduces a Bayesian network approach to model and evaluates the impact of regional anthropogenic actions and environmental conditions on the gradual disappearance of endangered archaeological heritage in the Marmarica region (northeastern Libya/northwestern Egypt). The predictive model quantifies the complex relationship among human–environment interactions involved in such processes, specifically addressing the nonlinear vulnerability of archaeological heritage to the convergence of different threats, such as climate change, urban development, or natural erosion. This model also enables us to explore patterns of association between anthropic remains (e.g. settlements, productive places, mobility structures, etc.) and environmental factors (e.g. topography, climate, hydrology, etc.), considering different co-occurring agents in these dynamics. Furthermore, the model can be applied to study such processes in other regions, enabling wider effective risk management and heritage preservation efforts.
DOI: 10.6084/m9.figshare.26527480.v1
title: Assessing the risks of northeastern African archaeological heritage and their relationship to human–environmental processes: a Bayesian network approach

description: Preserving the archaeological heritage of North Africa is challenging due to unique anthropic and environmental processes. This study introduces a Bayesian network approach to model and evaluates the impact of regional anthropogenic actions and environmental conditions on the gradual disappearance of endangered archaeological heritage in the Marmarica region (northeastern Libya/northwestern Egypt). The predictive model quantifies the complex relationship among human–environment interactions involved in such processes, specifically addressing the nonlinear vulnerability of archaeological heritage to the convergence of different threats, such as climate change, urban development, or natural erosion. This model also enables us to explore patterns of association between anthropic remains (e.g. settlements, productive places, mobility structures, etc.) and environmental factors (e.g. topography, climate, hydrology, etc.), considering different co-occurring agents in these dynamics. Furthermore, the model can be applied to study such processes in other regions, enabling wider effective risk management and heritage preservation efforts.
DOI: 10.6084/m9.figshare.26527495
title: Climate change and the taphonomic signature of Neolithic mounds: the Kur River Basin over five decades of satellite imagery coverage

description: This paper discusses the impact of modern land use and climate change on mounded prehistoric sites, considering the evidence from Kur River Basin (southwestern Iran). By applying remote sensing and GIS techniques to historical and recent satellite imagery, we monitored an assemblage of 45 Neolithic mounds in order to map and quantify their taphonomic signatures over the last 53 years. Our results highlight that the deterioration of sites occurred as a result of landscape transformation due to land use and socio-economic dynamics that were exacerbated by current climate change. Increasing demands for fertile land and water led to the over-exploitation of sources, resulting in changing hydrological regimes and ecological systems and loss of the archaeological record. By contextualizing these processes over a historical perspective, our findings contribute to archaeological heritage management efforts.
DOI: 10.6084/m9.figshare.26527495.v1
title: Climate change and the taphonomic signature of Neolithic mounds: the Kur River Basin over five decades of satellite imagery coverage

description: This paper discusses the impact of modern land use and climate change on mounded prehistoric sites, considering the evidence from Kur River Basin (southwestern Iran). By applying remote sensing and GIS techniques to historical and recent satellite imagery, we monitored an assemblage of 45 Neolithic mounds in order to map and quantify their taphonomic signatures over the last 53 years. Our results highlight that the deterioration of sites occurred as a result of landscape transformation due to land use and socio-economic dynamics that were exacerbated by current climate change. Increasing demands for fertile land and water led to the over-exploitation of sources, resulting in changing hydrological regimes and ecological systems and loss of the archaeological record. By contextualizing these processes over a historical perspective, our findings contribute to archaeological heritage management efforts.
DOI: 10.6084/m9.figshare.28000928
title: Seagrass meadows harbour micronutrient dense fish communities

description: Preliminary dataset and R code for submitted article (will be updated on final revision)
DOI: 10.6084/m9.figshare.28000928.v1
title: Seagrass meadows harbour micronutrient dense fish communities

description: Preliminary dataset and R code for submitted article (will be updated on final revision)
DOI: 10.6084/m9.figshare.26185932
title: Particle morphology of alkali metal chloride salts in induction heating based pulsed spray drier: Experimental analysis and ANN prediction

description: Hygroscopic nature of alkali metal chloride salts makes attaining mono-sized dried particles from their aqueous precursor solution an engineering challenge for conventional co-current or counter-current spray driers. Conventional spray driers offer better thermal utilization in either the spray zone or dried particle zone depending on their configuration viz. co-current or counter-current, respectively. In this work, an alternative prototype named induction heating based pulsed spray drier (IH-PSD) is proposed to obtain dry alkali metal chloride salt powders with narrow particle size distribution. Laser diffraction analysis is carried out for initial droplet size distribution whereas scanning electron microscopy and sieve shaker analysis is carried out for studying the particle morphology and particle size distribution of dried powder for all the selected salts. The resultant particle properties emphasized in the present work are the dried particle to initial droplet diameter ratio and the wet basis moisture content. It has been observed that the ratio of mean volume diameter of dried particle to sauter mean diameter of initial droplet lies in the range of 0.4–3.6 meanwhile the wet basis moisture content of dried powder lies in the range of 1.4–3.6 for the selected salts. Artificial neural network (ANN) model is applied for inferring the influence of IHPSD process parameters on the above mentioned dried particle properties and satisfactory convergence with experimental values has been achieved. Comparative plot for experimental and ANN predicted values of dried particle to droplet diameter ratio d43pd32sol [-] and wet basis dried particle moisture content χwp [%] of alkali metal chloride salts in induction heating based pulsed drier (IH-PSD) prototype. Spray drying prototype coupled with Induction heating and mechanical pulsation Scanning electron microscopy for morphological study of spray dried particle Laser diffraction for initial droplet size distribution analysis Sieve shaker experiments for size distribution analysis of spray dried particle Artificial neural network for prediction of droplet to dried particle size ratio
DOI: 10.6084/m9.figshare.26185932.v2
title: Particle morphology of alkali metal chloride salts in induction heating based pulsed spray drier: Experimental analysis and ANN prediction

description: Hygroscopic nature of alkali metal chloride salts makes attaining mono-sized dried particles from their aqueous precursor solution an engineering challenge for conventional co-current or counter-current spray driers. Conventional spray driers offer better thermal utilization in either the spray zone or dried particle zone depending on their configuration viz. co-current or counter-current, respectively. In this work, an alternative prototype named induction heating based pulsed spray drier (IH-PSD) is proposed to obtain dry alkali metal chloride salt powders with narrow particle size distribution. Laser diffraction analysis is carried out for initial droplet size distribution whereas scanning electron microscopy and sieve shaker analysis is carried out for studying the particle morphology and particle size distribution of dried powder for all the selected salts. The resultant particle properties emphasized in the present work are the dried particle to initial droplet diameter ratio and the wet basis moisture content. It has been observed that the ratio of mean volume diameter of dried particle to sauter mean diameter of initial droplet lies in the range of 0.4–3.6 meanwhile the wet basis moisture content of dried powder lies in the range of 1.4–3.6 for the selected salts. Artificial neural network (ANN) model is applied for inferring the influence of IHPSD process parameters on the above mentioned dried particle properties and satisfactory convergence with experimental values has been achieved. Comparative plot for experimental and ANN predicted values of dried particle to droplet diameter ratio d43pd32sol [-] and wet basis dried particle moisture content χwp [%] of alkali metal chloride salts in induction heating based pulsed drier (IH-PSD) prototype. Spray drying prototype coupled with Induction heating and mechanical pulsation Scanning electron microscopy for morphological study of spray dried particle Laser diffraction for initial droplet size distribution analysis Sieve shaker experiments for size distribution analysis of spray dried particle Artificial neural network for prediction of droplet to dried particle size ratio
DOI: 10.17632/7yf83cxcsp.1
title: NPRS eye tracker article

description: Data for article: Detecting Feigned Pain Using an Eye-tracker Integrated Numerical Pain Rating Scale (NPRS)
DOI: 10.4121/1f95769f-e87e-4f38-8f15-b8865fc9e26d
title: Data underlying the publication: Tissue-mimicking phantom materials with tunable optical properties suitable for assessment of diffuse reflectance spectroscopy during electrosurgery

description: Emerging intraoperative tumor margin assessment techniques require the development of more complex and reliable organ phantoms to assess the performance of the technique before its translation into the clinic. In this work, electrically conductive tissue-mimicking materials (TMMs) based on fat, water and agar/gelatin were produced with tunable optical properties. The composition of the phantoms allowed for the assessment of tumor margins using diffuse reflectance spectroscopy, as the fat/water ratio served as a discriminating factor between the healthy and malignant tissue. Moreover, the possibility of using polyvinyl alcohol (PVA) or transglutaminase in combination with fat, water and gelatin for developing TMMs was studied. The diffuse spectral response of the developed phantom materials had a good match with the spectral response of porcine muscle and adipose tissue, as well as <em style="color:rgb(34, 34, 34);">in vitro</em> human breast tissue. Using the developed recipe, anatomically relevant heterogeneous breast phantoms representing the optical properties of different layers of the human breast were fabricated using 3D-printed molds. These TMMs can be used for further development of phantoms applicable for simulating the realistic breast conserving surgery workflow in order to evaluate the intraoperative optical-based tumor margin assessment techniques during electrosurgery.