cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/mkftzrcw9n
title: Compost heat recovery in fish ponds data

description: Low ambient temperature is a natural occurrence that takes place every night and also during certain seasons of the year. In addition, low temperature extremes can occur due to climate change. This low ambient temperature results in low temperature of water bodies which in turn lead to reduced activity, feed intake and eventually growth of warm water fish species. Various technologies such as greenhouses, solar heaters and electrical heaters have been introduced to increase pond water temperature for fish culture but they are out of reach to most resource poor fish farmers. Therefore, this study explored the viability of aerobic composting as an alternative method to heating up of fish ponds with the added ecosystem service of producing compost. The first research hypothesis of this study was that the type of manure used during composting does not have an effect on the compost quality and heat generation of the compost. The second research hypothesis was that compost heat cannot sufficiently heat up fish pond water. Twelve fish ponds measuring 0.96 m length x 0.86 m width x 0.71 m height were constructed using wood planks, lined with polythene and each filled with 250 liters of water. Aluminum containers measuring 0.5 m length x 0.5 m width x 0.5 m height were floated in each pond and filled randomly with a mixture of either cattle manure + maize stovers + water, chicken manure + maize stovers + water, or water only (control). Therefore each treatment and control was replicated four times in a completely randomized design. All the mixtures of manure + maize stovers + water attained a Carbon: Nitrogen (C: N) ratio of 30:1 and moisture content of 65%. The compost was turned daily for 21 days by emptying the contents of the floating aluminum container into a second aluminum container which was then floated on the fish pond water. Measurements of compost pH, compost heat at 5, 10, 15, 20 and 25 cm depth, and water temperature were done at 8 am, 12 pm and 4 pm daily using a pH meter and thermometer probes. Data that were collected at different times of the day and/or different depths (compost) were averaged before analysis. In addition, a comparison was done for compost temperature at 5 cm (surface) and 25 cm (core) depths for the two manure types. The results showed that the composting cattle manure attained higher temperatures (especially at 5 cm depth) compared to the composting chicken manure but the latter heated the fish pond water better. This was attributed to the high level of lignin in the composting cattle manure. It is resistant to degradation (composting) and therefore enabled penetration of air into the composting mixture which not only increased heat generation by aerobic micro-organisms but also led to heat loss to the air and therefore low heat transmission to the water through the aluminum container. It was concluded that both manure types can be used to make larger piles of compost for improved heating up of fish ponds.
DOI: 10.17632/mkftzrcw9n.1
title: Compost heat recovery in fish ponds data

description: Low ambient temperature is a natural occurrence that takes place every night and also during certain seasons of the year. In addition, low temperature extremes can occur due to climate change. This low ambient temperature results in low temperature of water bodies which in turn lead to reduced activity, feed intake and eventually growth of warm water fish species. Various technologies such as greenhouses, solar heaters and electrical heaters have been introduced to increase pond water temperature for fish culture but they are out of reach to most resource poor fish farmers. Therefore, this study explored the viability of aerobic composting as an alternative method to heating up of fish ponds with the added ecosystem service of producing compost. The first research hypothesis of this study was that the type of manure used during composting does not have an effect on the compost quality and heat generation of the compost. The second research hypothesis was that compost heat cannot sufficiently heat up fish pond water. Twelve fish ponds measuring 0.96 m length x 0.86 m width x 0.71 m height were constructed using wood planks, lined with polythene and each filled with 250 liters of water. Aluminum containers measuring 0.5 m length x 0.5 m width x 0.5 m height were floated in each pond and filled randomly with a mixture of either cattle manure + maize stovers + water, chicken manure + maize stovers + water, or water only (control). Therefore each treatment and control was replicated four times in a completely randomized design. All the mixtures of manure + maize stovers + water attained a Carbon: Nitrogen (C: N) ratio of 30:1 and moisture content of 65%. The compost was turned daily for 21 days by emptying the contents of the floating aluminum container into a second aluminum container which was then floated on the fish pond water. Measurements of compost pH, compost heat at 5, 10, 15, 20 and 25 cm depth, and water temperature were done at 8 am, 12 pm and 4 pm daily using a pH meter and thermometer probes. Data that were collected at different times of the day and/or different depths (compost) were averaged before analysis. In addition, a comparison was done for compost temperature at 5 cm (surface) and 25 cm (core) depths for the two manure types. The results showed that the composting cattle manure attained higher temperatures (especially at 5 cm depth) compared to the composting chicken manure but the latter heated the fish pond water better. This was attributed to the high level of lignin in the composting cattle manure. It is resistant to degradation (composting) and therefore enabled penetration of air into the composting mixture which not only increased heat generation by aerobic micro-organisms but also led to heat loss to the air and therefore low heat transmission to the water through the aluminum container. It was concluded that both manure types can be used to make larger piles of compost for improved heating up of fish ponds.
DOI: 10.17632/rygyy8mdhp
title: Human Motion Data in Complex Construction Environments Setup with and without Knee Exoskeleton Assistance

description: Construction work involves complex, non-repetitive tasks that increase risks of work-related musculoskeletal disorders (WMSDs) and productivity loss. This study presents an integrated evaluation framework combining wearable knee exoskeleton assistance, immersive virtual reality (VR) task scenarios, and synchronized multi-sensor measurements to quantify safety- and performance-related outcomes in construction-like settings. Using a modular stair–ramp–deck platform, twenty-one adults completed multi-task protocols with and without knee exoskeleton assistance in a randomized crossover design while the motion capture system, force plates, electromyography (EMG), inertial measurement units (IMUs), and metabolic sensing recorded biomechanics, stability, and effort. Assistance reduced lower-limb muscular demand and improved postural stability during kneeling and VR precision tasks. User surveys indicated perceived stability gains but highlighted comfort and weight concerns. The framework enables task-relevant, reproducible assessment of safety and productivity in realistic construction environments. All multimodal data and protocols are released to support benchmarking and future task-aware assistance systems.
DOI: 10.17632/rygyy8mdhp.1
title: Human Motion Data in Complex Construction Environments Setup with and without Knee Exoskeleton Assistance

description: Construction work involves complex, non-repetitive tasks that increase risks of work-related musculoskeletal disorders (WMSDs) and productivity loss. This study presents an integrated evaluation framework combining wearable knee exoskeleton assistance, immersive virtual reality (VR) task scenarios, and synchronized multi-sensor measurements to quantify safety- and performance-related outcomes in construction-like settings. Using a modular stair–ramp–deck platform, twenty-one adults completed multi-task protocols with and without knee exoskeleton assistance in a randomized crossover design while the motion capture system, force plates, electromyography (EMG), inertial measurement units (IMUs), and metabolic sensing recorded biomechanics, stability, and effort. Assistance reduced lower-limb muscular demand and improved postural stability during kneeling and VR precision tasks. User surveys indicated perceived stability gains but highlighted comfort and weight concerns. The framework enables task-relevant, reproducible assessment of safety and productivity in realistic construction environments. All multimodal data and protocols are released to support benchmarking and future task-aware assistance systems.
DOI: 10.17632/nzmzzn82wf
title: Soil organic carbon data of mining areas

description: Collection of global mine site soil organic carbon data, including 92 articles and 740 data sets.
DOI: 10.17632/nzmzzn82wf.1
title: Soil organic carbon data of mining areas

description: Collection of global mine site soil organic carbon data, including 92 articles and 740 data sets.
DOI: 10.17632/kcn35ywbxh
title: Machine Learning-based Metabolic Profiling of in vitro Maturation Medium from Patients with Polycystic Ovary Syndrome

description: This dataset contains metabolic profiling data obtained from the in vitro maturation (IVM) medium of patients with polycystic ovary syndrome (PCOS). The data were analyzed using machine learning techniques to identify key metabolic signatures. The dataset is provided in Excel format and includes detailed metabolite concentrations, sample IDs, and relevant annotations for further analysis.
DOI: 10.17632/kcn35ywbxh.3
title: Machine Learning-based Metabolic Profiling of in vitro Maturation Medium from Patients with Polycystic Ovary Syndrome

description: This dataset contains metabolic profiling data obtained from the in vitro maturation (IVM) medium of patients with polycystic ovary syndrome (PCOS). The data were analyzed using machine learning techniques to identify key metabolic signatures. The dataset is provided in Excel format and includes detailed metabolite concentrations, sample IDs, and relevant annotations for further analysis.
DOI: 10.17632/tb87tntypv
title: Experimental Study on Coastal Wind Erosion Resistance and Plant Growth

description: Experimental Study on Coastal Wind Erosion Resistance and Plant Growth
DOI: 10.17632/tb87tntypv.1
title: Experimental Study on Coastal Wind Erosion Resistance and Plant Growth

description: Experimental Study on Coastal Wind Erosion Resistance and Plant Growth
DOI: 10.15468/dl.j52cr6
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cerebratulus rubens",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017609-251025141854904/datasets/export for details.
DOI: 10.17632/nzybd7npfs
title: JUE Insight: Shovel Ready Projects and Commercial Construction Activity's Long and Variable Lags

description: Replication Package (excluding proprietary data) for JUE Insight: Shovel Ready Projects and Commercial Construction Activity's Long and Variable Lags by Glancy, Kurtzman, and Loewenstein. See README for details.
DOI: 10.17632/nzybd7npfs.1
title: JUE Insight: Shovel Ready Projects and Commercial Construction Activity's Long and Variable Lags

description: Replication Package (excluding proprietary data) for JUE Insight: Shovel Ready Projects and Commercial Construction Activity's Long and Variable Lags by Glancy, Kurtzman, and Loewenstein. See README for details.
DOI: 10.15468/dl.wvgpym
title: Occurrence Download

description: A dataset containing 17 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((2.74564 49.32287,2.78644 49.29628,2.88194 49.29561,2.92786 49.29832,3.07014 49.37861,3.04809 49.40264,2.96897 49.40583,3.03338 49.46093,2.98805 49.49712,2.91227 49.49863,2.87796 49.468,2.87516 49.44024,2.86652 49.43989,2.83735 49.41292,2.77658 49.38399,2.74564 49.32287))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Osmoderma eremita"
 ]
}

 The dataset includes 17 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017608-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/wj53xxctgp
title: BASE DE DATOS: ESTUDIO BIBLIÓMETRICO ACERCA DE LOS ESCAPE ROOM EN LA EDUCACION SUPERIOR

description: BASE DE DATOS DEL ESTUDIO BIBLIÓMETRICO ACERCA DE LOS ESCAPE ROOM EN LA EDUCACION SUPERIOR
DOI: 10.17632/wj53xxctgp.1
title: BASE DE DATOS: ESTUDIO BIBLIÓMETRICO ACERCA DE LOS ESCAPE ROOM EN LA EDUCACION SUPERIOR

description: BASE DE DATOS DEL ESTUDIO BIBLIÓMETRICO ACERCA DE LOS ESCAPE ROOM EN LA EDUCACION SUPERIOR
DOI: 10.17632/zr7skhfdfb
title: Considerable carbon dioxide emissions from groundwater over-exploitation in the North China Plain

description: This study compiled hydrogeochemical data from 6202 groundwater sampling sites across the NCP, being sampled between 2007 and 2010. This dataset comprises 4454 points in shallow aquifer and 1748 points in deep aquifer, which were used for the analysis of the hydrogeochemical characteristics and the quantitative calculation of CO2 emissions induced by groundwater over-exploitation in the NCP. Given the absence of continuous hydrogeochemical monitoring throughout the study period, these samples provided the representative hydrochemical baseline for the entire timeframe.
DOI: 10.21343/900x-wt60
title: Temperature, salinity, fluorescence and light measurements from Billefjorden (Svalbard) 2008-2013
DOI: 10.17632/zr7skhfdfb.1
title: Considerable carbon dioxide emissions from groundwater over-exploitation in the North China Plain

description: This study compiled hydrogeochemical data from 6202 groundwater sampling sites across the NCP, being sampled between 2007 and 2010. This dataset comprises 4454 points in shallow aquifer and 1748 points in deep aquifer, which were used for the analysis of the hydrogeochemical characteristics and the quantitative calculation of CO2 emissions induced by groundwater over-exploitation in the NCP. Given the absence of continuous hydrogeochemical monitoring throughout the study period, these samples provided the representative hydrochemical baseline for the entire timeframe.
DOI: 10.17632/3789kn3wds
title: NHL-005_Trial_Data

description: This is the first prospective pivotal study evaluating anthracycline intensification combined with ASCT in young, high-risk DLBCL patients. 
In this randomized, non-inferiority clinical trial involving 475 young, high-risk DLBCL patients, the R-CEOP90 regimen demonstrated efficacy equivalent to R-DA-EDOCH as induction immunochemotherapy, while exhibiting a more favorable toxicity profile. The non-inferior progression-free survival benefit and favorable safety profile support that the immunochemotherapy R-CEOP90 and R-DA-EDOCH are equally effective alternatives with upfront ASCT for curative therapeutic approach in young, high-risk DLBCL patients. 
The dataset includes all anonymised data on individual patients on which the results and conclusions reported in the paper are based.
DOI: 10.17632/3789kn3wds.2
title: NHL-005_Trial_Data

description: This is the first prospective pivotal study evaluating anthracycline intensification combined with ASCT in young, high-risk DLBCL patients. 
In this randomized, non-inferiority clinical trial involving 475 young, high-risk DLBCL patients, the R-CEOP90 regimen demonstrated efficacy equivalent to R-DA-EDOCH as induction immunochemotherapy, while exhibiting a more favorable toxicity profile. The non-inferior progression-free survival benefit and favorable safety profile support that the immunochemotherapy R-CEOP90 and R-DA-EDOCH are equally effective alternatives with upfront ASCT for curative therapeutic approach in young, high-risk DLBCL patients. 
The dataset includes all anonymised data on individual patients on which the results and conclusions reported in the paper are based.
DOI: 10.17632/jhbd63yy2d
title: Dataset and Code on The Value of Targeted Poverty Alleviation to Stock Performance During the COVID-19 Period

description: This dataset and code serve as the empirical data for all tables including in appendix of “The Value of Targeted Poverty Alleviation to Stock Performance During the COVID-19 Period”. The readers can read the file of “readme” before run all codes.
DOI: 10.17632/jhbd63yy2d.1
title: Dataset and Code on The Value of Targeted Poverty Alleviation to Stock Performance During the COVID-19 Period

description: This dataset and code serve as the empirical data for all tables including in appendix of “The Value of Targeted Poverty Alleviation to Stock Performance During the COVID-19 Period”. The readers can read the file of “readme” before run all codes.
DOI: 10.17632/bd3fgzj2z4
title: Profiling patients across the transition from homologous to third-party reproduction

description: The use of third-party reproduction is growing progressively and is profoundly changing the landscape of assisted reproduction. This study aimed to identify the clinical profiles of patients receiving assisted reproduction treatments and to compare their predispositions for third-party reproduction.
The sample included patients who 1) were over 18 years of age; 2) had experienced infertility; 3) had started at least one assisted reproduction cycle; and 4) were able to speak and understand Italian. The sample comprised 750 women. The participants were asked to provide sociodemographic and clinical data and to express their current or future willingness to accept third-party reproduction. They were then asked to complete the Hospital Anxiety and Depression Scale and the Importance of Parenthood subscale.
RESULTS: One in three women refused third-party reproduction. The most suitable latent class analysis model identified four clinical profiles of patients undergoing treatment. The classes were labeled as follows: 1) Aging patients (N = 220; 29.3% of the sample); 2) Recurrent Seekers (N = 174; 23.2%); 3) Younger (N= 177; 23.6%); and 4) Low-Exposure Seekers (N =179; 23.9%). The association between class membership and attitudes toward third-party reproduction was significant [χ2(6)=60.55; p&lt;0.001]. Specifically, “aging patients” are significantly more likely to accept third-party reproduction, whereas “recurrent seekers” and “low-exposure seekers” are not currently predisposed to this treatment but may be open in the future.
DOI: 10.17632/bd3fgzj2z4.1
title: Profiling patients across the transition from homologous to third-party reproduction

description: The use of third-party reproduction is growing progressively and is profoundly changing the landscape of assisted reproduction. This study aimed to identify the clinical profiles of patients receiving assisted reproduction treatments and to compare their predispositions for third-party reproduction.
The sample included patients who 1) were over 18 years of age; 2) had experienced infertility; 3) had started at least one assisted reproduction cycle; and 4) were able to speak and understand Italian. The sample comprised 750 women. The participants were asked to provide sociodemographic and clinical data and to express their current or future willingness to accept third-party reproduction. They were then asked to complete the Hospital Anxiety and Depression Scale and the Importance of Parenthood subscale.
RESULTS: One in three women refused third-party reproduction. The most suitable latent class analysis model identified four clinical profiles of patients undergoing treatment. The classes were labeled as follows: 1) Aging patients (N = 220; 29.3% of the sample); 2) Recurrent Seekers (N = 174; 23.2%); 3) Younger (N= 177; 23.6%); and 4) Low-Exposure Seekers (N =179; 23.9%). The association between class membership and attitudes toward third-party reproduction was significant [χ2(6)=60.55; p&lt;0.001]. Specifically, “aging patients” are significantly more likely to accept third-party reproduction, whereas “recurrent seekers” and “low-exposure seekers” are not currently predisposed to this treatment but may be open in the future.
DOI: 10.17632/222g3wvcb2.2
title: Revealing the biotic and abiotic players and their potential interactions of the 2021 Mucilage Event in the Sea of Marmara

description: The data contain the 'qzv' files of the 16S, 18S, and ITS markers. Can be visualized via https://view.qiime2.org
DOI: 10.17632/73frj7mvr8
title: The Global Seafood Trade Network

description: The Global Seafood NetworkBuilding Data; currency-proximity data; geographic-proximity data; language-proximity data; Homogeneity (HOM) data; Trade Facilitation (TF) data; Gephi data; Original data of export trade
DOI: 10.17632/73frj7mvr8.4
title: The Global Seafood Trade Network

description: The Global Seafood NetworkBuilding Data; currency-proximity data; geographic-proximity data; language-proximity data; Homogeneity (HOM) data; Trade Facilitation (TF) data; Gephi data; Original data of export trade
DOI: 10.17632/jkdvjxtx68
title: Postselection effect in the spectroscopy of the helium 2 3S − 2 3P transition

description: The first one is the final data, and the subsequent ones are the upper-level data from which this data is derived. Perform Lorentz fitting on count, and then subtract the recoil shift to obtain the corresponding relative frequency.
DOI: 10.17632/jkdvjxtx68.1
title: Postselection effect in the spectroscopy of the helium 2 3S − 2 3P transition

description: The first one is the final data, and the subsequent ones are the upper-level data from which this data is derived. Perform Lorentz fitting on count, and then subtract the recoil shift to obtain the corresponding relative frequency.
DOI: 10.17632/xyts8bdbrr
title: Abaqus VUMAT Subroutine for 3D Hashin Failure Criteria

description: This dataset is supplementary material for the PhD thesis titled “Virtual Testing of Aerospace Composite Laminates: Impact and Fatigue” by Peyman Shabani, submitted to Carleton University in 2025. 

This supplementary material contains a vectorized user-defined material (VUMAT) subroutine developed for conducting failure analysis of composite materials under three-dimensional stress conditions in Abaqus/Explicit.
DOI: 10.17632/xyts8bdbrr.1
title: Abaqus VUMAT Subroutine for 3D Hashin Failure Criteria

description: This dataset is supplementary material for the PhD thesis titled “Virtual Testing of Aerospace Composite Laminates: Impact and Fatigue” by Peyman Shabani, submitted to Carleton University in 2025. 

This supplementary material contains a vectorized user-defined material (VUMAT) subroutine developed for conducting failure analysis of composite materials under three-dimensional stress conditions in Abaqus/Explicit.
DOI: 10.17632/ymjw7wmbkz
title: Cloud water HULIS (Mt. Tai)-FT-ICR MS

description: Cloud water HULIS (Mt. Tai)-FT-ICR MS
DOI: 10.17632/ymjw7wmbkz.1
title: Cloud water HULIS (Mt. Tai)-FT-ICR MS

description: Cloud water HULIS (Mt. Tai)-FT-ICR MS
DOI: 10.17632/4j7737443j
title: Damage Transfer Python Script for Abaqus

description: This dataset is supplementary material for the PhD thesis titled “Virtual Testing of Aerospace Composite Laminates: Impact and Fatigue” by Peyman Shabani, submitted to Carleton University in 2025. 

This Python script can be used to read the Abaqus output file (.odb), identify elements that experienced various failure modes, and create corresponding element sets for each composite failure mode and their combinations in the Abaqus/CAE file (.cae). In the thesis, the script was used to transfer damage from the low-velocity impact (LVI) model to the compression-after-impact (CAI) model, as well as to transfer damage between LVI models in the repeated impact simulations.