cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.29859101.v1
title: <b>The biological performance of a pond recirculating aquaculture system for farming the giant freshwater prawn (</b><b><i>Macrobrachium rosenbergii</i></b><b>)</b>

description: Recirculating aquaculture systems are an important means of achieving sustainable development within the aquaculture industry. In this study, we established a pond recirculating aquaculture system (PRAS) for freshwater prawn (<i>Macrobrachium rosenbergii</i>) farming and evaluated its biological performance. In this system, conventional water quality indicators, antibiotics, heavy metals, and microbial community composition were monitored for four months. The results showed that the specific growth rate of the giant river prawn was 5.28% day<sup>-1</sup>. The aquaculture effluent undergoes one cycle in the biological purification pond, reducing the levels of total nitrogen (TN, 13%), total phosphorus (TP, 50%), ammonia nitrogen (NH₄⁺-N, 34%), nitrite nitrogen (NO₂⁻-N, 30%), dissolved inorganic phosphorus (DIP, 57%), chromium (Cr, 34%), cadmium (Cd, 11%), iron (Fe, 25%), and manganese (Mn, 35%). In addition, the recirculating water system maintains antibiotic levels at a low level of enrofloxacin (ENR, 273.36~293.89 ng/L), other categories of antibiotics (0.54~171.58 ng/L). Biological treatment concomitantly increased the relative abundance of nutrient- and heavy-metal-removing bacteria (e.g., <i>Pseudomonas</i>) in the water. Critically, correlation analysis shows that NH₄⁺-N, NO₂⁻-N, DIP, and Cr emerged as key drivers of microbial community structure. In summary, PRAS is an biologically optimised production model that is worthy of broader implementation.
DOI: 10.17632/fj77vcp6hm
title: Base de datos Dengue, Magdalena, Colombia (2022)

description: This dataset was used to analyze the epidemiological characteristics of reported dengue cases in the Magdalena department of Colombia during the year 2022. The primary research hypothesis was that dengue case outcomes—such as hospitalization—may be associated with seasonal patterns (rainy season) and other epidemiological variables. The dataset also aimed to explore statistically significant associations between reported cases, their clinical outcomes, and environmental or temporal factors.
The dataset includes anonymized patient records related to dengue cases, and only cases with complete records for the relevant variables of interest were included in the analysis. The information collected includes demographic variables, clinical outcomes (hospitalization), and the time of year the case occurred, allowing comparison between cases reported during the rainy season and those reported outside of it.
DOI: 10.17632/fj77vcp6hm.1
title: Base de datos Dengue, Magdalena, Colombia (2022)

description: This dataset was used to analyze the epidemiological characteristics of reported dengue cases in the Magdalena department of Colombia during the year 2022. The primary research hypothesis was that dengue case outcomes—such as hospitalization—may be associated with seasonal patterns (rainy season) and other epidemiological variables. The dataset also aimed to explore statistically significant associations between reported cases, their clinical outcomes, and environmental or temporal factors.
The dataset includes anonymized patient records related to dengue cases, and only cases with complete records for the relevant variables of interest were included in the analysis. The information collected includes demographic variables, clinical outcomes (hospitalization), and the time of year the case occurred, allowing comparison between cases reported during the rainy season and those reported outside of it.
DOI: 10.15468/dl.eeuy66
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Allanetta afra"
 ]
}

 The dataset includes 5 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028668-250802193616735/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.28845761
title: Data of the project titled "Genome, epigenome and telomere length features of sarcopenia and frailty"

description: <b>Sarcopenia and frailty syndrome are geriatric conditions that increase illness and death rates among older adults.</b> So far, there are no widely accepted practical methods for early diagnosis of sarcopenia and frailty syndrome. <br>Analyzing the interaction between the genome, epigenome, and phenome—systems that influence aging—may help identify biological markers for sarcopenia and frailty syndrome. This project was needed to address important health and aging-related issues. A total of 204 participants (43 male and 161 female, aged 82.2±7.6 years) were included in this study: 75 healthy community-dwelling older adults (17 male and 58 female, aged 80.2±7.5 years) without sarcopenia and/or frailty (controls); and 122 individuals with sarcopenia and/or frailty (26 male and 95 females, aged 85.3±6.7 years). Genotyping was performed using the Illumina <i>Infinium Global Screening Array-24 v3.0 Kit </i>(Illumina, San Diego, CA, USA), which includes 654,027 genome-wide SNPs. Methylation of a total of 62 subjects (43 females aged 85.5 ± 6.1 and 19 males aged 82.9 ± 8.8) diagnosed by both sarcopenia and frailty were profiled by Illumina Infinium EPICv2 arrays. Relative telomere length was measured by quantitative real-time polymerase chain reaction (qRT-PCR) method and quantified as the telomere/single-copy gene (T/S) ratio (Cawthon, 2002).
DOI: 10.6084/m9.figshare.28845761.v5
title: Data of the project titled "Genome, epigenome and telomere length features of sarcopenia and frailty"

description: <b>Sarcopenia and frailty syndrome are geriatric conditions that increase illness and death rates among older adults.</b> So far, there are no widely accepted practical methods for early diagnosis of sarcopenia and frailty syndrome. <br>Analyzing the interaction between the genome, epigenome, and phenome—systems that influence aging—may help identify biological markers for sarcopenia and frailty syndrome. This project was needed to address important health and aging-related issues. A total of 204 participants (43 male and 161 female, aged 82.2±7.6 years) were included in this study: 75 healthy community-dwelling older adults (17 male and 58 female, aged 80.2±7.5 years) without sarcopenia and/or frailty (controls); and 122 individuals with sarcopenia and/or frailty (26 male and 95 females, aged 85.3±6.7 years). Genotyping was performed using the Illumina <i>Infinium Global Screening Array-24 v3.0 Kit </i>(Illumina, San Diego, CA, USA), which includes 654,027 genome-wide SNPs. Methylation of a total of 62 subjects (43 females aged 85.5 ± 6.1 and 19 males aged 82.9 ± 8.8) diagnosed by both sarcopenia and frailty were profiled by Illumina Infinium EPICv2 arrays. Relative telomere length was measured by quantitative real-time polymerase chain reaction (qRT-PCR) method and quantified as the telomere/single-copy gene (T/S) ratio (Cawthon, 2002).
DOI: 10.6084/m9.figshare.28845761.v4
title: Data of the project titled "Genome, epigenome and telomere length features of sarcopenia and frailty"

description: <b>Sarcopenia and frailty syndrome are geriatric conditions that increase illness and death rates among older adults.</b> So far, there are no widely accepted practical methods for early diagnosis of sarcopenia and frailty syndrome. <br>Analyzing the interaction between the genome, epigenome, and phenome—systems that influence aging—may help identify biological markers for sarcopenia and frailty syndrome. This project was needed to address important health and aging-related issues. A total of 204 participants (43 male and 161 female, aged 82.2±7.6 years) were included in this study: 75 healthy community-dwelling older adults (17 male and 58 female, aged 80.2±7.5 years) without sarcopenia and/or frailty (controls); and 122 individuals with sarcopenia and/or frailty (26 male and 95 females, aged 85.3±6.7 years). Genotyping was performed using the Illumina <i>Infinium Global Screening Array-24 v3.0 Kit </i>(Illumina, San Diego, CA, USA), which includes 654,027 genome-wide SNPs. Methylation of a total of 62 subjects (43 females aged 85.5 ± 6.1 and 19 males aged 82.9 ± 8.8) diagnosed by both sarcopenia and frailty were profiled by Illumina Infinium EPICv2 arrays. Relative telomere length was measured by quantitative real-time polymerase chain reaction (qRT-PCR) method and quantified as the telomere/single-copy gene (T/S) ratio (Cawthon, 2002).
DOI: 10.17632/xfbkbc9s6j
title: Replication Folder for: “Export Booms and Child Health: Pathways of Income, Nutrition, and Maternal Care in Sub-Saharan Africa”

description: Dataset and Do Files for: “Export Booms and Child Health: Pathways of Income, Nutrition, and Maternal Care in Sub-Saharan Africa”
DOI: 10.17632/xfbkbc9s6j.1
title: Replication Folder for: “Export Booms and Child Health: Pathways of Income, Nutrition, and Maternal Care in Sub-Saharan Africa”

description: Dataset and Do Files for: “Export Booms and Child Health: Pathways of Income, Nutrition, and Maternal Care in Sub-Saharan Africa”
DOI: 10.11588/portal.gsi.6895c734c4413
title: Galerie Thannhauser (Luzern)
DOI: 10.17632/bdhzjhtv6y
title: The soil microbial OTUs data from the mixed-species experiment of Chinese fir plantations

description: It includes OTUs data of bacteria and fungi in the soil of pure fir forests (PF) and mixed fir forests (MF)
DOI: 10.17632/bdhzjhtv6y.1
title: The soil microbial OTUs data from the mixed-species experiment of Chinese fir plantations

description: It includes OTUs data of bacteria and fungi in the soil of pure fir forests (PF) and mixed fir forests (MF)
DOI: 10.17632/4dmznd65wr
title: Data on Simulating the Growth and Yields of Brachiaria Brizantha Using the CROPGRO-Perennial Forage Model Under Present and Future Climate Conditions in Subhumid Environments of Ethiopia

description: This dataset presents research on simulating the growth and yields of Brachiaria brizantha using the CROPGRO-Perennial Forage Model under present and future climate conditions in subhumid environments of Ethiopia. The study aims to calibrate the model for Brachiaria brizantha and assess the impact of climate change on its yield. The data includes climatic information, such as daily rainfall, temperature, and solar radiation, collected from the Debre Zeit Agricultural Research Center and the Bako Agricultural Research Center over three years. Baseline and future climate scenarios were derived from CORDEX Africa outputs under Representative Concentration Pathways (RCPs). The dataset encompasses herbage, leaf, and stem biomass accumulation, as well as specific forage model characteristics, MOW. The calibration process refined species parameters related to vegetative partitioning. The data is valuable for calibrating and evaluating the CROPGRO-Perennial Forage Model for Brachiaria brizantha and assessing the effects of present and future climate scenarios on biomass accumulation. It is relevant to agricultural advisors, policymakers, researchers, and modelers working on forage crops in tropical sub-humid regions. The information can be used for planning and decision-making processes related to forage crops, as well as for conducting forage models using DSSAT 4.8.2 software to assess the effects of climate change on Brachiaria grass. The dataset is publicly available on Mendeley Data.
DOI: 10.17632/4dmznd65wr.1
title: Data on Simulating the Growth and Yields of Brachiaria Brizantha Using the CROPGRO-Perennial Forage Model Under Present and Future Climate Conditions in Subhumid Environments of Ethiopia

description: This dataset presents research on simulating the growth and yields of Brachiaria brizantha using the CROPGRO-Perennial Forage Model under present and future climate conditions in subhumid environments of Ethiopia. The study aims to calibrate the model for Brachiaria brizantha and assess the impact of climate change on its yield. The data includes climatic information, such as daily rainfall, temperature, and solar radiation, collected from the Debre Zeit Agricultural Research Center and the Bako Agricultural Research Center over three years. Baseline and future climate scenarios were derived from CORDEX Africa outputs under Representative Concentration Pathways (RCPs). The dataset encompasses herbage, leaf, and stem biomass accumulation, as well as specific forage model characteristics, MOW. The calibration process refined species parameters related to vegetative partitioning. The data is valuable for calibrating and evaluating the CROPGRO-Perennial Forage Model for Brachiaria brizantha and assessing the effects of present and future climate scenarios on biomass accumulation. It is relevant to agricultural advisors, policymakers, researchers, and modelers working on forage crops in tropical sub-humid regions. The information can be used for planning and decision-making processes related to forage crops, as well as for conducting forage models using DSSAT 4.8.2 software to assess the effects of climate change on Brachiaria grass. The dataset is publicly available on Mendeley Data.
DOI: 10.15468/dl.mmcf7y
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((10.27799 47.29469,10.33485 47.16497,10.6776 47.18629,10.77052 47.20105,10.99518 47.26172,11.04189 46.76541,11.12919 46.89455,11.47295 46.96184,11.74577 46.93456,11.60572 47.6148,11.56207 47.53659,11.44567 47.53841,11.36564 47.47293,11.01461 47.41109,10.90002 47.55659,10.78362 47.53659,10.7236 47.56023,10.56718 47.58024,10.51989 47.55114,10.49806 47.60752,10.41804 47.57842,10.46532 47.44383,10.27799 47.29469))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Triturus carnifex"
 ]
}

 The dataset includes 3 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028672-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.prertp
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Setipinna brevifilis)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028671-250802193616735/datasets/export for details.
DOI: 10.15468/dl.b8az8q
title: Occurrence Download

description: A dataset containing 12404 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Germany",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Strix aluco",
 "Year 2018-2025"
 ]
}

 The dataset includes 12404 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028670-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mk692c
title: Occurrence Download

description: A dataset containing 42 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Atherina temminckii"
 ]
}

 The dataset includes 42 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028673-250802193616735/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.29859188
title: Raw morphometric measurements of Aphanius fasciatus specimens from Šćuza Bay, Croatia.xlsx

description: As part of a study on a newly recorded population of <i>Aphanius fasciatus</i> in Šćuza Bay, selected morphometric characteristics were measured in 20 male and 20 female specimens from the locality. Values represent untransformed (raw) measurements in millimetres.
DOI: 10.6084/m9.figshare.29859188.v1
title: Raw morphometric measurements of Aphanius fasciatus specimens from Šćuza Bay, Croatia.xlsx

description: As part of a study on a newly recorded population of <i>Aphanius fasciatus</i> in Šćuza Bay, selected morphometric characteristics were measured in 20 male and 20 female specimens from the locality. Values represent untransformed (raw) measurements in millimetres.
DOI: 10.17632/35kd7b3jh6.1
title: Granulometría de sedimentos en Playa Salinas, República Dominicana

description: This dataset contains the results of a granulometric (grain size) analysis of sediments collected from 15 sampling points (PS-1 to PS-15) along Playa Salinas, located in the Dominican Republic. Each sampling point includes three independent replicates. The analysis was conducted using dry sieving with a standard series of sieves (No. 10, 16, 25, 60, 140, 230, and pan), following standard soil and sediment characterization procedures.

The dataset provides the mass fraction retained on each sieve for every sampling point and replicate, enabling the study of sediment texture and distribution along the coastal profile. The data is organized in tabular format and is suitable for statistical analysis and graphical representation.
DOI: 10.17632/5cc62jxrx6
title: Dataset de Factores asociados al bajo peso al nacer: estudio de casos y controles

description: Este dataset contiene información anonimizada de 253 gestantes con recién nacidos a término atendidas entre 2020 y 2023 en una clínica de tercer nivel de Córdoba, Colombia. Incluye variables sociodemográficas, clínicas y obstétricas recolectadas de historias clínicas, codificadas para análisis estadístico en un estudio de casos y controles.
DOI: 10.17043/tarfala-storglaciaren-meteorological-1
title: Meteorological data from Storglaciären, Kebnekaise Mountains, Northern Sweden
DOI: 10.17632/5cc62jxrx6.1
title: Dataset de Factores asociados al bajo peso al nacer: estudio de casos y controles

description: Este dataset contiene información anonimizada de 253 gestantes con recién nacidos a término atendidas entre 2020 y 2023 en una clínica de tercer nivel de Córdoba, Colombia. Incluye variables sociodemográficas, clínicas y obstétricas recolectadas de historias clínicas, codificadas para análisis estadístico en un estudio de casos y controles.
DOI: 10.5281/zenodo.16747196
title: Radical-based on-surface chemistry of non-planar aromatics into non-benzenoid nanographenes dataset

description: Data used in preparation of publication 'Radical-based on-surface chemistry of non-planar aromatics into non-benzenoid nanographenes'
DOI: 10.5281/zenodo.16747197
title: Radical-based on-surface chemistry of non-planar aromatics into non-benzenoid nanographenes dataset

description: Data used in preparation of publication 'Radical-based on-surface chemistry of non-planar aromatics into non-benzenoid nanographenes'
DOI: 10.17632/y84f8x9bdg
title: AMS 14C Dating Results of Core GT05

description: AMS 14C Dating Results of Core GT05
DOI: 10.17632/y84f8x9bdg.1
title: AMS 14C Dating Results of Core GT05

description: AMS 14C Dating Results of Core GT05
DOI: 10.17632/pxw2rbsnv4
title: Code and Data for “Breaking Barriers: How Market Competition Sparks Innovation in China's State-Owned Enterprises?”

description: This is a replication package of the paper "Breaking Barriers: How Market Competition Sparks Innovation in China's State-Owned Enterprises?" submitted to Economic Modelling.
DOI: 10.17632/pxw2rbsnv4.2
title: Code and Data for “Breaking Barriers: How Market Competition Sparks Innovation in China's State-Owned Enterprises?”

description: This is a replication package of the paper "Breaking Barriers: How Market Competition Sparks Innovation in China's State-Owned Enterprises?" submitted to Economic Modelling.
DOI: 10.5281/zenodo.16747759
title: Supraglacial Lakes on Baltoro Glacier (Pakistan) for the period 2016 to 2022

description: The two publications “Seasonal evolution of supraglacial lakes on Baltoro Glacier from 2016 to 2020” (Wendleder et al., 2021) and “Basal Sliding and Hydrological Drainage at Baltoro Glacier, Pakistan” (Wendleder et al., 2024) focus on the supraglacial lakes on the Baltoro Glacier, Pakistan. The first publication explains the semi-automatic method (including Random forest classification and harmonization of the time series) for classifying the supraglacial lakes. The approach uses multi-temporal and multi-sensor summer time series from 2016 to 2020 based on optical (Sentinel-2 and PlanetScope) and Synthetic Aperture Radar (SAR; Sentinel-1 and TerraSAR-X) remote sensing data. Furthermore, the publication gives a first insight how the seasonal evolution of the supraglacial lakes vary over the years. The second publication extends the time series to 2022 and analyses the impact of glacial and climatic variables on the glacier surface velocity. 

Following interim and final results of the two publications are published here: 

1) land cover classification (LCC) based on Sentinel-2 Multi Spectral Instrument (MSI) L2A (atmospheric correction applied with MAJA (MACCS ATCOR Joint Algorithm, release 4.2)) using the Random forest classification (section 3.2 in Wendleder et al., 2021)

2) supraglacial lakes (SGL) based on Sentinel-2 L2A MAJA data derived from the Random forest classification with subsequent filtering (section 3.2 in Wendleder et al., 2021)

3) local distribution and duration (day of onset and disappearing in day of year) the supraglacial lakes  (section 4.4 and Figure 6 in Wendleder et al., 2021) and the seasonal evolution based on Sentinel-1 and 2, PlanetScope, and TerraSAR-X (section 4.5 and Figure 7 in Wendleder et al., 2021)

4) temporal relationship of the supraglacial lakes, runoff-index, surface velocity, air temperature, precipitation, and snowmelt (section 4.1 and Figure 2 in Wendleder et al., 2024).
DOI: 10.5281/zenodo.16747760
title: Supraglacial Lakes on Baltoro Glacier (Pakistan) for the period 2016 to 2022

description: The two publications “Seasonal evolution of supraglacial lakes on Baltoro Glacier from 2016 to 2020” (Wendleder et al., 2021) and “Basal Sliding and Hydrological Drainage at Baltoro Glacier, Pakistan” (Wendleder et al., 2024) focus on the supraglacial lakes on the Baltoro Glacier, Pakistan. The first publication explains the semi-automatic method (including Random forest classification and harmonization of the time series) for classifying the supraglacial lakes. The approach uses multi-temporal and multi-sensor summer time series from 2016 to 2020 based on optical (Sentinel-2 and PlanetScope) and Synthetic Aperture Radar (SAR; Sentinel-1 and TerraSAR-X) remote sensing data. Furthermore, the publication gives a first insight how the seasonal evolution of the supraglacial lakes vary over the years. The second publication extends the time series to 2022 and analyses the impact of glacial and climatic variables on the glacier surface velocity. 

Following interim and final results of the two publications are published here: 

1) land cover classification (LCC) based on Sentinel-2 Multi Spectral Instrument (MSI) L2A (atmospheric correction applied with MAJA (MACCS ATCOR Joint Algorithm, release 4.2)) using the Random forest classification (section 3.2 in Wendleder et al., 2021)

2) supraglacial lakes (SGL) based on Sentinel-2 L2A MAJA data derived from the Random forest classification with subsequent filtering (section 3.2 in Wendleder et al., 2021)

3) local distribution and duration (day of onset and disappearing in day of year) the supraglacial lakes  (section 4.4 and Figure 6 in Wendleder et al., 2021) and the seasonal evolution based on Sentinel-1 and 2, PlanetScope, and TerraSAR-X (section 4.5 and Figure 7 in Wendleder et al., 2021)

4) temporal relationship of the supraglacial lakes, runoff-index, surface velocity, air temperature, precipitation, and snowmelt (section 4.1 and Figure 2 in Wendleder et al., 2024).