cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.14457/tu.the.2023.535
title: Supply chain coordination using machine learning

description: Efficient supply chain management is a critical yet challenging objective in modern business, aiming to align product delivery with demand while minimizing costs. Despite its importance, coordination and collaboration among supply chain partners are often inadequate, leading to significant inefficiencies. Research highlights substantial annual waste due to poor coordination, particularly in industries like the U.S. food sector. This study addresses these challenges by developing innovative tools to optimize pricing strategies and enhance manufacturer-retailer coordination, focusing on the integration of bi-level programming models and Artificial Neural Networks (ANN).Building on existing models such as the Single-level Mixed-integer Linear Programming Model with Strictly Complementary Conditions and Participation Constraints (SMLP-SCP), this research introduces a Bi-level Optimization Model with ANN Approximation (BL-ANN). The BL-ANN model leverages ANN to predict retailers' ordering decisions and optimize production plans, aiming to maximize manufacturers' profits and enhance overall supply chain efficiency.Through comparative analysis, BL-ANN demonstrates superior computational efficiency and scalability, achieving near-optimal profitability with minimal discrepancies in wholesale pricing decisions compared to SMLP-SCP. This study's findings suggest that BL-ANN is a robust, scalable, and efficient alternative for modern supply chain management, offering significant advantages in computational speed and decision-making accuracy. Future research will focus on integrating real-time data analytics and adaptive learning to further enhance the model's predictive capabilities and responsiveness to market dynamics. This study contributes to advancing supply chain management by combining advanced optimization techniques and artificial intelligence, paving the way for innovative solutions in the field.
DOI: 10.14457/tu.the.2023.536
title: Forecasting the impact of COVID-19 on andrographis extract medicine by time series and ANN model in Thailand

description: Ever since 2020, the global supply chain has been affected by Coronavirus. Regardless of the root cause, shortage of supply was imminent in comparison to the demand needed to fulfill the needs of consumers. Amid Thailand's COVID-19 outbreak in Early 2021, the country's health ministry approved the usage of Andrographis extract as an alternative treatment program for mild symptoms and asymptomatic patients as of July 2021. Thus, there has been a surge in demand for Andrographis extract. Hence, this study will focus on comparing the accuracy of each method used in forecasting the demand of Andrographis extract medicine in Thailand during the Covid-19 outbreak from 2020 to 2022. Three forecast methods used in this study are: Single Exponential smoothing, Double exponential smoothing, and ANN model. To indicate the most suitable model, MAPE and MAD method are used as a deciding factor in selecting the most suitable method to use, in which, ANN model provided the least error compared to other methods, which deemed most suitable method.
DOI: 10.6084/m9.figshare.23982999
title: Fig. 7 Global NH4 Conc. Data

description: <br><b>• Background and Aims </b>Freshwater nitrogen inputs are increasing globally, altering the structure and function of wetland ecosystems adapted to low nutrient conditions. Carnivorous wetland plants of the genus <i>Utricularia </i>are hypothesized to reduce their reliance on carnivory and increase their assimilation of environmental nutrients when the supply of ambient nutrients increases. Despite success in using stable isotope approaches to quantify carnivory of terrestrial carnivorous plants, quantifying carnivory of aquatic <i>Utricularia </i>requires improvement.<b>• Methods </b>We developed stable isotope mixing models to quantify aquatic plant carnivory and used these models to measure dietary changes of three <i>Utricularia </i>species, <i>Utricularia australis</i>, <i>U. gibba </i>and <i>U. uliginosa</i>, in 11 wetlands across a 794-km gradient in eastern Australia. Diet was assessed using multiple models that compared variations in the natural-abundance nitrogen isotope composition (δ15N) of <i>Utricularia </i>spp. with that of non-carnivorous plants, and environmental and carnivorous nitrogen sources.<b>• Key Results </b>Carnivory supplied 40–100 % of plant nitrogen. The lowest carnivory rates coincided with the highest availability of ammonium and dissolved organic carbon.<b>• Conclusions </b>Our findings suggest that <i>Utricularia </i>populations may adapt to high nutrient environments by shifting away from energetically costly carnivory. This has implications for species conservation as anthropogenic impacts continue to affect global wetland ecosystems.
DOI: 10.6084/m9.figshare.23982999.v1
title: Fig. 5 Global NH4 Conc. Data

description: <br><b>• Background and Aims </b>Freshwater nitrogen inputs are increasing globally, altering the structure and function of wetland ecosystems adapted to low nutrient conditions. Carnivorous wetland plants of the genus <i>Utricularia </i>are hypothesized to reduce their reliance on carnivory and increase their assimilation of environmental nutrients when the supply of ambient nutrients increases. Despite success in using stable isotope approaches to quantify carnivory of terrestrial carnivorous plants, quantifying carnivory of aquatic <i>Utricularia </i>requires improvement.<b>• Methods </b>We developed stable isotope mixing models to quantify aquatic plant carnivory and used these models to measure dietary changes of three <i>Utricularia </i>species, <i>Utricularia australis</i>, <i>U. gibba </i>and <i>U. uliginosa</i>, in 11 wetlands across a 794-km gradient in eastern Australia. Diet was assessed using multiple models that compared variations in the natural-abundance nitrogen isotope composition (δ15N) of <i>Utricularia </i>spp. with that of non-carnivorous plants, and environmental and carnivorous nitrogen sources.<b>• Key Results </b>Carnivory supplied 40–100 % of plant nitrogen. The lowest carnivory rates coincided with the highest availability of ammonium and dissolved organic carbon.<b>• Conclusions </b>Our findings suggest that <i>Utricularia </i>populations may adapt to high nutrient environments by shifting away from energetically costly carnivory. This has implications for species conservation as anthropogenic impacts continue to affect global wetland ecosystems.
DOI: 10.6084/m9.figshare.23982999.v2
title: Fig. 7 Global NH4 Conc. Data

description: <br><b>• Background and Aims </b>Freshwater nitrogen inputs are increasing globally, altering the structure and function of wetland ecosystems adapted to low nutrient conditions. Carnivorous wetland plants of the genus <i>Utricularia </i>are hypothesized to reduce their reliance on carnivory and increase their assimilation of environmental nutrients when the supply of ambient nutrients increases. Despite success in using stable isotope approaches to quantify carnivory of terrestrial carnivorous plants, quantifying carnivory of aquatic <i>Utricularia </i>requires improvement.<b>• Methods </b>We developed stable isotope mixing models to quantify aquatic plant carnivory and used these models to measure dietary changes of three <i>Utricularia </i>species, <i>Utricularia australis</i>, <i>U. gibba </i>and <i>U. uliginosa</i>, in 11 wetlands across a 794-km gradient in eastern Australia. Diet was assessed using multiple models that compared variations in the natural-abundance nitrogen isotope composition (δ15N) of <i>Utricularia </i>spp. with that of non-carnivorous plants, and environmental and carnivorous nitrogen sources.<b>• Key Results </b>Carnivory supplied 40–100 % of plant nitrogen. The lowest carnivory rates coincided with the highest availability of ammonium and dissolved organic carbon.<b>• Conclusions </b>Our findings suggest that <i>Utricularia </i>populations may adapt to high nutrient environments by shifting away from energetically costly carnivory. This has implications for species conservation as anthropogenic impacts continue to affect global wetland ecosystems.
DOI: 10.6084/m9.figshare.23982984
title: Fig.3 Mixing Model_RPM

description: <br><b>• Background and Aims </b>Freshwater nitrogen inputs are increasing globally, altering the structure and function of wetland ecosystems adapted to low nutrient conditions. Carnivorous wetland plants of the genus <i>Utricularia </i>are hypothesized to reduce their reliance on carnivory and increase their assimilation of environmental nutrients when the supply of ambient nutrients increases. Despite success in using stable isotope approaches to quantify carnivory of terrestrial carnivorous plants, quantifying carnivory of aquatic <i>Utricularia </i>requires improvement.<b>• Methods </b>We developed stable isotope mixing models to quantify aquatic plant carnivory and used these models to measure dietary changes of three <i>Utricularia </i>species, <i>Utricularia australis</i>, <i>U. gibba </i>and <i>U. uliginosa</i>, in 11 wetlands across a 794-km gradient in eastern Australia. Diet was assessed using multiple models that compared variations in the natural-abundance nitrogen isotope composition (δ15N) of <i>Utricularia </i>spp. with that of non-carnivorous plants, and environmental and carnivorous nitrogen sources.<b>• Key Results </b>Carnivory supplied 40–100 % of plant nitrogen. The lowest carnivory rates coincided with the highest availability of ammonium and dissolved organic carbon.<b>• Conclusions </b>Our findings suggest that <i>Utricularia </i>populations may adapt to high nutrient environments by shifting away from energetically costly carnivory. This has implications for species conservation as anthropogenic impacts continue to affect global wetland ecosystems.
DOI: 10.6084/m9.figshare.23982987
title: Fig.4 Mixing Model_FSM1

description: <br><b>• Background and Aims </b>Freshwater nitrogen inputs are increasing globally, altering the structure and function of wetland ecosystems adapted to low nutrient conditions. Carnivorous wetland plants of the genus <i>Utricularia </i>are hypothesized to reduce their reliance on carnivory and increase their assimilation of environmental nutrients when the supply of ambient nutrients increases. Despite success in using stable isotope approaches to quantify carnivory of terrestrial carnivorous plants, quantifying carnivory of aquatic <i>Utricularia </i>requires improvement.<b>• Methods </b>We developed stable isotope mixing models to quantify aquatic plant carnivory and used these models to measure dietary changes of three <i>Utricularia </i>species, <i>Utricularia australis</i>, <i>U. gibba </i>and <i>U. uliginosa</i>, in 11 wetlands across a 794-km gradient in eastern Australia. Diet was assessed using multiple models that compared variations in the natural-abundance nitrogen isotope composition (δ15N) of <i>Utricularia </i>spp. with that of non-carnivorous plants, and environmental and carnivorous nitrogen sources.<b>• Key Results </b>Carnivory supplied 40–100 % of plant nitrogen. The lowest carnivory rates coincided with the highest availability of ammonium and dissolved organic carbon.<b>• Conclusions </b>Our findings suggest that <i>Utricularia </i>populations may adapt to high nutrient environments by shifting away from energetically costly carnivory. This has implications for species conservation as anthropogenic impacts continue to affect global wetland ecosystems.
DOI: 10.6084/m9.figshare.23982987.v1
title: Fig.4 Mixing Model_FSM1

description: <br><b>• Background and Aims </b>Freshwater nitrogen inputs are increasing globally, altering the structure and function of wetland ecosystems adapted to low nutrient conditions. Carnivorous wetland plants of the genus <i>Utricularia </i>are hypothesized to reduce their reliance on carnivory and increase their assimilation of environmental nutrients when the supply of ambient nutrients increases. Despite success in using stable isotope approaches to quantify carnivory of terrestrial carnivorous plants, quantifying carnivory of aquatic <i>Utricularia </i>requires improvement.<b>• Methods </b>We developed stable isotope mixing models to quantify aquatic plant carnivory and used these models to measure dietary changes of three <i>Utricularia </i>species, <i>Utricularia australis</i>, <i>U. gibba </i>and <i>U. uliginosa</i>, in 11 wetlands across a 794-km gradient in eastern Australia. Diet was assessed using multiple models that compared variations in the natural-abundance nitrogen isotope composition (δ15N) of <i>Utricularia </i>spp. with that of non-carnivorous plants, and environmental and carnivorous nitrogen sources.<b>• Key Results </b>Carnivory supplied 40–100 % of plant nitrogen. The lowest carnivory rates coincided with the highest availability of ammonium and dissolved organic carbon.<b>• Conclusions </b>Our findings suggest that <i>Utricularia </i>populations may adapt to high nutrient environments by shifting away from energetically costly carnivory. This has implications for species conservation as anthropogenic impacts continue to affect global wetland ecosystems.
DOI: 10.5517/ccdc.csd.cc2jhg4n
title: CCDC 2338551: Experimental Crystal Structure Determination

description: Related Article: Sourav Kundu|2024|CSD Communication|||
description: Related Article: Ranjit Murmu, Sourav Kundu, Moumita Majhi, Souvik Pal, Abhishek Mondal, Alakesh Bisai|2024|Chem.Commun.|60|9737|doi:10.1039/D4CC03070B
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.6084/m9.figshare.23982990
title: Fig.5 Mixing Model_FSM2

description: <br><b>• Background and Aims </b>Freshwater nitrogen inputs are increasing globally, altering the structure and function of wetland ecosystems adapted to low nutrient conditions. Carnivorous wetland plants of the genus <i>Utricularia </i>are hypothesized to reduce their reliance on carnivory and increase their assimilation of environmental nutrients when the supply of ambient nutrients increases. Despite success in using stable isotope approaches to quantify carnivory of terrestrial carnivorous plants, quantifying carnivory of aquatic <i>Utricularia </i>requires improvement.<b>• Methods </b>We developed stable isotope mixing models to quantify aquatic plant carnivory and used these models to measure dietary changes of three <i>Utricularia </i>species, <i>Utricularia australis</i>, <i>U. gibba </i>and <i>U. uliginosa</i>, in 11 wetlands across a 794-km gradient in eastern Australia. Diet was assessed using multiple models that compared variations in the natural-abundance nitrogen isotope composition (δ15N) of <i>Utricularia </i>spp. with that of non-carnivorous plants, and environmental and carnivorous nitrogen sources.<b>• Key Results </b>Carnivory supplied 40–100 % of plant nitrogen. The lowest carnivory rates coincided with the highest availability of ammonium and dissolved organic carbon.<b>• Conclusions </b>Our findings suggest that <i>Utricularia </i>populations may adapt to high nutrient environments by shifting away from energetically costly carnivory. This has implications for species conservation as anthropogenic impacts continue to affect global wetland ecosystems.
DOI: 10.6084/m9.figshare.23982990.v1
title: Fig.5 Mixing Model_FSM2

description: <br><b>• Background and Aims </b>Freshwater nitrogen inputs are increasing globally, altering the structure and function of wetland ecosystems adapted to low nutrient conditions. Carnivorous wetland plants of the genus <i>Utricularia </i>are hypothesized to reduce their reliance on carnivory and increase their assimilation of environmental nutrients when the supply of ambient nutrients increases. Despite success in using stable isotope approaches to quantify carnivory of terrestrial carnivorous plants, quantifying carnivory of aquatic <i>Utricularia </i>requires improvement.<b>• Methods </b>We developed stable isotope mixing models to quantify aquatic plant carnivory and used these models to measure dietary changes of three <i>Utricularia </i>species, <i>Utricularia australis</i>, <i>U. gibba </i>and <i>U. uliginosa</i>, in 11 wetlands across a 794-km gradient in eastern Australia. Diet was assessed using multiple models that compared variations in the natural-abundance nitrogen isotope composition (δ15N) of <i>Utricularia </i>spp. with that of non-carnivorous plants, and environmental and carnivorous nitrogen sources.<b>• Key Results </b>Carnivory supplied 40–100 % of plant nitrogen. The lowest carnivory rates coincided with the highest availability of ammonium and dissolved organic carbon.<b>• Conclusions </b>Our findings suggest that <i>Utricularia </i>populations may adapt to high nutrient environments by shifting away from energetically costly carnivory. This has implications for species conservation as anthropogenic impacts continue to affect global wetland ecosystems.
DOI: 10.5281/zenodo.13691530
title: Methane drone flights over a cattle farm in Tjøtta, Norway

description: This dataset includes observations of atmospheric methane concentrations at a cattle farm in Norway.

The data was collected by using a DJI Matrice 300 RTK drone equipped with an Aeries MIRA Strato LDS methane sensor.

The files contain the raw data from the methane sensor with an additional column, 'OSD.height [m]', for the estimated height of the drone relative to its home location next to the barn. The height data comes from the drone and is resampled (linear interpolation) to the datetimes of the methane sensor. The datetimes are in UTC.

The data was collected on 11.08.2023 and 12.08.2023 in Tjøtta, Norway. The cattle farm is located at 65.902044 N, 12.541739 E.

The following flights were performed:




20230811_101700
Flight along the approximate mean wind direction at ~16m and ~28m height.


20230811_140340
Flight in horizontal plane at ~14m, hovering for ~1min at specific locations.


20230811_144650
Flight in vertical plane at ~16m and ~32m, hovering for ~1min at specific locations.


20230811_153040
Lawnmower flight at ~25m height.


20230811_161430
Lawnmower flight at ~25m height.


20230812_073100
Lawnmower flight at ~25m height.


20230812_075830
Lawnmower flight at ~25m height.


20230812_082530
Continuous vertical profile to ~100m height above the chimney of the barn.


20230812_102930
Lawnmower flight at ~25m height.
DOI: 10.5281/zenodo.13691531
title: Methane drone flights over a cattle farm in Tjøtta, Norway

description: This dataset includes observations of atmospheric methane concentrations at a cattle farm in Norway.

The data was collected by using a DJI Matrice 300 RTK drone equipped with an Aeries MIRA Strato LDS methane sensor.

The files contain the raw data from the methane sensor with an additional column, 'OSD.height [m]', for the estimated height of the drone relative to its home location next to the barn. The height data comes from the drone and is resampled (linear interpolation) to the datetimes of the methane sensor. The datetimes are in UTC.

The data was collected on 11.08.2023 and 12.08.2023 in Tjøtta, Norway. The cattle farm is located at 65.902044 N, 12.541739 E.

The following flights were performed:




20230811_101700
Flight along the approximate mean wind direction at ~16m and ~28m height.


20230811_140340
Flight in horizontal plane at ~14m, hovering for ~1min at specific locations.


20230811_144650
Flight in vertical plane at ~16m and ~32m, hovering for ~1min at specific locations.


20230811_153040
Lawnmower flight at ~25m height.


20230811_161430
Lawnmower flight at ~25m height.


20230812_073100
Lawnmower flight at ~25m height.


20230812_075830
Lawnmower flight at ~25m height.


20230812_082530
Continuous vertical profile to ~100m height above the chimney of the barn.


20230812_102930
Lawnmower flight at ~25m height.
DOI: 10.15468/dl.36ekhh
title: Occurrence Download

description: A dataset containing 54975 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Ginkgo L."
 ]
}

 The dataset includes 54975 records from 417 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0118347-240626123714530/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.26507083
title: A First Look at Conventional Commits Classification

description: Data and scripts for the ICSE 2025 paper "A First Look at Conventional Commits Classification".Refer to our GitHub repository for more details: https://github.com/0x404/conventional-commit-classification
DOI: 10.6084/m9.figshare.26953972
title: 5 RPI datasets

description: 5 RPI datasets utilized to train and evaluate our approach.
DOI: 10.6084/m9.figshare.26953972.v1
title: 5 RPI datasets

description: 5 RPI datasets utilized to train and evaluate our approach.
DOI: 10.5281/zenodo.13693583
title: Halamphora witkowskii alignment and phylogenetic tree
DOI: 10.5281/zenodo.13693584
title: Halamphora witkowskii alignment and phylogenetic tree
DOI: 10.15468/dl.d53sbu
title: Occurrence Download

description: A dataset containing 2437810354 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Animalia"
 ]
}

 The dataset includes 2437810354 records from 58249 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0118334-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cqx6nu
title: Occurrence Download

description: A dataset containing 753 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Tanzania, United Republic of",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Panthera leo (Linnaeus, 1758)",
 "Year 2000-2021"
 ]
}

 The dataset includes 753 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0062377-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wu9uhw
title: Occurrence Download

description: A dataset containing 66770 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Chile",
 "DatasetKey is iNaturalist Research-grade Observations",
 "TaxonKey is Chordata"
 ]
}

 The dataset includes 66770 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044009-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.knhiqa
title: Occurrence Download

description: A dataset containing 2489 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Galeocerdo cuvier (Péron & Lesueur, 1822)"
 ]
}

 The dataset includes 2489 records from 82 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003147-160509122628363/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dpfm5f
title: Occurrence Download

description: A dataset containing 947 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pistacia weinmannifolia J.Poiss. ex Franch."
 ]
}

 The dataset includes 947 records from 40 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029739-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.