cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.4008360
title: Leaf Vein Network CNN Results

description: Results for leaf vein networks extracted using the LeafVeinCNN software package. The original image data set is available from Blonder et al. (2019) https://doi.org/10.1002/ecy.2844. The LeafVeinCNN software used in the analysis is available at https://doi.org/10.5281/zenodo.4007730 The Results_xxx.zip files contain all the Excel results spreadsheets separated by the code for each field site. results.xls provides a summary of all the network metrics for each file that was analysable Results_figures.pdf provides a summary image of the processing steps and results for each leaf segment Network_images.pdf contains a colour-coded image of each network superimposed on the leaf segment HLD_plots shows the binary tree following Hierarchical Network Decomposition PR_results.zip contains the Excel spreadsheets for evaluation of different enhancement methods for each leaf segment. PR_summary.xls provides a summary of the performance of each enhancement method. PR_F1_images.pdf and PR_FBeta2_images.pdf show the pixel classification for each enhancement and segmentation method compared to the manual ground-truth using two different optimum criteria (F1 and FBeta2). PR_fullwidth_plots show the full Precision-Recall plots for the full-width binary image compared to the manual ground-truth using the FBeta2 metric. PR_skeleton_plots show the full Precision-Recall plots for the skeletonised binary image compared to the manual ground-truth using the FBeta2 metric. PR_threshold_plots.pdf show how a set of network metrics vary with the segmentation threshold for each enhancement method.
description: Additional funding from: Human Frontier Science Program (RGP0053/2012), Leverhulme Trust (RPG-2015-437), NSF: DEB-2025282 and RoL:FELS:RAISE DEB-1840209
description: {"references": ["Xu, H., Blonder, B., Jodra, M., Malhi, Y. and Fricker, M.D. (2020) Automated and accurate segmentation of leaf venation networks via deep learning. . New Phytol. (In press).", "Blonder, B., S. Both, M. Jodra, H. Xu, M. Fricker, I. S. Matos, N. Majalap, D. F. R. P. Burslem, Y. Teh and Y. Malhi (2020) Linking functional traits to multiscale statistics of leaf venation networks. New Phytol. (In press).", "Blonder, B., S. Both, M. Jodra, N. Majalap, D. Burslem, Y. A. Teh and Y. Malhi (2019). \"Leaf venation networks of Bornean trees: images and hand-traced segmentations.\" Ecology 100: e02844."]}
DOI: 10.5281/zenodo.4008361
title: Leaf Vein Network CNN Results

description: Results for leaf vein networks extracted using the LeafVeinCNN software package. The original image data set is available from Blonder et al. (2019) https://doi.org/10.1002/ecy.2844. The LeafVeinCNN software used in the analysis is available at https://doi.org/10.5281/zenodo.4007730 The Results_xxx.zip files contain all the Excel results spreadsheets separated by the code for each field site. results.xls provides a summary of all the network metrics for each file that was analysable Results_figures.pdf provides a summary image of the processing steps and results for each leaf segment Network_images.pdf contains a colour-coded image of each network superimposed on the leaf segment HLD_plots shows the binary tree following Hierarchical Network Decomposition PR_results.zip contains the Excel spreadsheets for evaluation of different enhancement methods for each leaf segment. PR_summary.xls provides a summary of the performance of each enhancement method. PR_F1_images.pdf and PR_FBeta2_images.pdf show the pixel classification for each enhancement and segmentation method compared to the manual ground-truth using two different optimum criteria (F1 and FBeta2). PR_fullwidth_plots show the full Precision-Recall plots for the full-width binary image compared to the manual ground-truth using the FBeta2 metric. PR_skeleton_plots show the full Precision-Recall plots for the skeletonised binary image compared to the manual ground-truth using the FBeta2 metric. PR_threshold_plots.pdf show how a set of network metrics vary with the segmentation threshold for each enhancement method.
description: Additional funding from: Human Frontier Science Program (RGP0053/2012), Leverhulme Trust (RPG-2015-437), NSF: DEB-2025282 and RoL:FELS:RAISE DEB-1840209
description: {"references": ["Xu, H., Blonder, B., Jodra, M., Malhi, Y. and Fricker, M.D. (2020) Automated and accurate segmentation of leaf venation networks via deep learning. . New Phytol. (In press).", "Blonder, B., S. Both, M. Jodra, H. Xu, M. Fricker, I. S. Matos, N. Majalap, D. F. R. P. Burslem, Y. Teh and Y. Malhi (2020) Linking functional traits to multiscale statistics of leaf venation networks. New Phytol. (In press).", "Blonder, B., S. Both, M. Jodra, N. Majalap, D. Burslem, Y. A. Teh and Y. Malhi (2019). \"Leaf venation networks of Bornean trees: images and hand-traced segmentations.\" Ecology 100: e02844."]}
DOI: 10.5519/qd.69dpljyn
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (45 records)
DOI: 10.6084/m9.figshare.22698469
title: Research on Representative Works’ Innovation Measurement Based on Time and Space Dimensions(attchement)

description: This is the attachment of the thesis titled "Research on Representative Works’ Innovation Measurement Based on Time and Space Dimensions".
DOI: 10.6084/m9.figshare.22698469.v1
title: Research on Representative Works’ Innovation Measurement Based on Time and Space Dimensions(attchement)

description: This is the attachment of the thesis titled "Research on Representative Works’ Innovation Measurement Based on Time and Space Dimensions".
DOI: 10.21227/c75s-h743
title: An Auction based LSA management

description: Licensed shared access (LSA) is a proposed framework that helps compensate for the lackof frequency spectrum in today’s dense networks and we consider enhanced LSA based on ADEL'sproposed structure. In this paper, unmanned aerial vehicles (UAVs) perform spectrum sensing toopportunistically access the licensed channels to help the terrestrial base stations (TBS) to provide moreguaranteed links for incumbent and licensee users. This paper aims to maximize incumbent and operators' revenue using a sequential auction approach using a new machine learning method.
DOI: 10.6084/m9.figshare.22698475
title: Source data

description: Source data of a Nature Communications paper.
DOI: 10.6084/m9.figshare.22698475.v2
title: Source data

description: Source data of a Nature Communications paper.
DOI: 10.6084/m9.figshare.22698475.v1
title: Untitled Item

description: Source data of a Nature Communications paper.
DOI: 10.6084/m9.figshare.21077857
title: Script from "Comparing Quantile Regression Spline analyses and Supervised Machine Learning for environmental quality assessment at coastal marine aquaculture installations"

description: This zip archive contains data and R code used in the manuscript 'Comparing Quantile Regression Spline analyses and Supervised Machine Learning for environmental quality assessment at coastal marine aquaculture installations' by Kleopatra Leontidou, Verena Rubel, Thorsten Stoeck. <br> It contains a data folder with the datasets used for Quantile Regression Spline analyses and Supervised Machine Learning, R code for the Quantile Regression Splines Analysis and for the production of the figures shown in the results section and R code for the Supervised Machine Learning analysis. <br> Description of data files: Two 'asv table' datasets were used (Norway_asvtable.csv, Scotland_asvtable.csv), one of which included all samples from seven Norwegian salmon farms (n = 138) and one including all samples (n=92) from seven Scottish salmon farms. The 'asv table' datasets include as rows the Amplicon Sequence Variants (ASVs), as columns the samples (corresponding to the Sample column in the 'metadata' datasets) and as cell values the number of sequence reads. The 'metadata' datasets (Norway_metadata.csv, Scotland_metadata.csv) include as rows the samples and as columns information about the samples. The data folder includes also data from Supervised Machine Learning analysis (table_of_predictions_relab_norway.csv, table_of_predictions_relab_scotland.csv, varimp_mean_nor.csv, varimp_mean_sco.csv). <br>
DOI: 10.5281/zenodo.7767235
title: Annexes on the 2021 EU report on pesticide residues

description: Detailed information on the different control programmes, full list of samples exceeding the MRLs anonymised by sample code, analytical scope from the official laboratories reporting to EFSA data on pesticide residues, the HBGV and PF used in the risk assessment. Detailed information on deterministic and probabilistic risk assessment results.
description: EU; en; xlsx; idata@efsa.europa.eu
DOI: 10.5281/zenodo.7767236
title: Annexes on the 2021 EU report on pesticide residues

description: Detailed information on the different control programmes, full list of samples exceeding the MRLs anonymised by sample code, analytical scope from the official laboratories reporting to EFSA data on pesticide residues, the HBGV and PF used in the risk assessment. Detailed information on deterministic and probabilistic risk assessment results.
description: EU; en; xlsx; idata@efsa.europa.eu
DOI: 10.6084/m9.figshare.21813975
title: Effect of oral nutritional supplements on IL-6 and IL-10 in failure to thrive children with infection

description: The data represents the levels of IL-6 and IL-10 after oral nutritional supplementation for 90 days (1 ml equivalent to 1 kcal of calorie)
DOI: 10.6084/m9.figshare.21813975.v4
title: Effect of oral nutritional supplements on IL-6 and IL-10 in failure to thrive children with infection

description: The data represents the levels of IL-6 and IL-10 after oral nutritional supplementation for 90 days (1 ml equivalent to 1 kcal of calorie)
DOI: 10.6084/m9.figshare.21813975.v3
title: Effect of oral nutritional supplements on IL-6 and IL-10 in failure to thrive children with infection

description: The data represents the levels of IL-6 and IL-10 after oral nutritional supplementation for 90 days (1 ml equivalent to 1 kcal of calorie)
DOI: 10.6084/m9.figshare.22698532
title: Data & Code

description: STATA's raw data
DOI: 10.6084/m9.figshare.22698532.v1
title: Data & Code

description: STATA's raw data
DOI: 10.57771/x01e-am45
title: NGT-Dutch Hotel Review Corpus
title: NGT-HoReCo

description: <p>Parallel corpus of hotel reviews in written Dutch and in Sign Language of the Netherlands (NGT) videos.</p>
DOI: 10.5525/gla.researchdata.1415
title: Dataset for 'Striving for humane deaths for laboratory mice: Hypobaric hypoxia provides a potential alternative to carbon dioxide exposure'

description: Data supporting manuscript entitled 'Striving for humane deaths for laboratory mice: Hypobaric hypoxia provides a potential alternative to carbon dioxide exposure'
DOI: 10.34740/kaggle/dsv/5527329
title: AutoXGB
DOI: 10.21227/es8y-cr94
title: EMoulouyaBDD: extended moulouya bird detection dataset

description: The Extended Moulouya Bird Detection Dataset (E-Moulouya BDD) is a dataset proposed for bird detection, created by merging and cleaning up the XMBA dataset. It consists of 13,000 annotated images that were labeled using a unified format for consistency. The dataset is licensed under CC BY 4.0 and is available on the Roboflow platform for use by the scientific community. Additionally, the Rest Birds Dataset and the D-Birds Dataset were also used for bird detection and shared a common annotation format.
DOI: 10.22008/fk2/q0cnli/thcnnt
title: GeoTu SL 174_directional data.csv

description: GeoTu SL 174 paleomagnetic data
DOI: 10.22008/fk2/q0cnli/tkmky8
title: GeoTu SL 174_age depth model.csv.xlsx

description: Age depth model for GeoTu SL 174 [ka BP = kilo years before present]
DOI: 10.22008/fk2/q0cnli/ftjjkj
title: GeoTu SL 174_XRF data.xlsx

description: GeoTu SL 174 XRF ratios, sand fraction, magnetic susceptibility measurements and L* data
DOI: 10.22008/fk2/q0cnli/jgm4zc
title: GeoTu SL 174_mineral magentic measurements.xlsx

description: GeoTu SL 174 rock and mineral magnetic measurements (interpolated to 1 cm resolution)
DOI: 10.22008/fk2/q0cnli
title: Data from marine sediment core GeoTü SL 174 (Baffin Bay)

description: Data from marine sediment core (Gravity core) GeoTü SL 174 (68° 31.88' N 63° 19.82' W, MSM09/02-0467/3) retrieved aboard the RV Maria S. Merian research cruise MSM09/02 (Kucera et al., 2014) in 2008. GeoTü SL 174 is 777.5 cm in length and was retrieved from 1559 m water depth. Datasets include age-depth model, rock and paleomagnetic measurements and X-ray fluorescence (XRF) data.
DOI: 10.5281/zenodo.7855858
title: try

description: files
DOI: 10.5517/ccdc.csd.cc2f113n
title: CCDC 2235320: Experimental Crystal Structure Determination

description: Related Article: Menglei Wang, Zhangyi Fu, Rui Cheng, Jiping Du, Tanping Wu, Zhengyang Bin, Di Wu, Yudong Yang, Jingbo Lan|2023|Chem.Commun.|59|5126|doi:10.1039/D3CC01120H
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: 10.5519/qd.p6qg1xh3
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (53856 records)
DOI: 10.5281/zenodo.7854021
title: Individual ostracode valve analyses (IOVA) of Sclerocypris clavularis from modern Lake Turkana sediments

description: We provide stable carbon (δ¹³C) and oxygen (δ¹⁸O) isotope measurements in individual calcitic valves of extant ostracode species, Sclerocypris clavularis, from modern sediments in 17 sites across Lake Turkana, eastern Africa. These sediments were collected using a modified Ekman dredge during May-November, 1979. Pooled statistics of these individual ostracode valve analyses (IOVA) of δ¹³C and δ¹⁸O measurements (n = 329) at each site show strong correlations with lake hydrological parameters. Within-site variance in IOVA-δ¹³C is larger (~60%) than that of IOVA-δ¹⁸O. Yet, pooled averages exhibit a systematic pattern with higher δ values towards the southern part of the lake, away from Omo River inflow, which is the largest riverine input into Lake Turkana (comprising ~90% of overall inflows). We suggest that the latitudinal δ¹³C gradient may arise from low riverine δ¹³C and low organic matter δ¹³C as a productivity response to nutrient-rich Omo River inflow towards the north. The δ¹⁸O pattern may be explained by the diminishing influence of Omo River inflows and more evaporation driving higher IOVA-δ¹⁸O values towards the windier, southern basin. We conclude that pooled IOVA statistics in Omo-Turkana sediments can aid interpretations of past regional paleohydrology and its variability in this basin.
DOI: 10.5281/zenodo.6412525
title: Metal and nutrient content from submerged aquatic macrophytes collected from Southern Coeur d'Alene Lake, Idaho (USA) in August 2018.

description: This is a dataset used in the draft manuscript entitled: "Aquatic macrophytes show distinct spatial trends in contaminant metal and nutrient concentrations in Coeur d’Alene Lake, USA." The data package includes the data and R scripts used to produce the analyses reported in the manuscript. See the readme.txt and metadata.csv files for more explanation. The .R file can be used to unbundle the .tar.gz file via the packrat library.
DOI: 10.5281/zenodo.6412524
title: Metal and nutrient content from submerged aquatic macrophytes collected from Southern Coeur d'Alene Lake, Idaho (USA) in August 2018.

description: This repository contains data and R scripts used to produce the analyses reported in the manuscript listed below. See the Readme.txt and metadata.csv files for more explanation. The .R file can be used to unbundle the .tar.gz file via the packrat library. The data and script files are contained in the .tar.gz file. Scofield, B.D., Fields, S.F. & Chess, D.W. Aquatic macrophytes show distinct spatial trends in contaminant metal and nutrient concentrations in Coeur d’Alene Lake, USA. <em>Environ Sci Pollut Res</em> (2023). https://doi.org/10.1007/s11356-023-27211-x
DOI: 10.5281/zenodo.7768213
title: Metal and nutrient content from submerged aquatic macrophytes collected from Southern Coeur d'Alene Lake, Idaho (USA) in August 2018.

description: This repository contains data and R scripts used to produce the analyses reported in the manuscript listed below. See the Readme.txt and metadata.csv files for more explanation. The .R file can be used to unbundle the .tar.gz file via the packrat library. The data and script files are contained in the .tar.gz file. Scofield, B.D., Fields, S.F. & Chess, D.W. Aquatic macrophytes show distinct spatial trends in contaminant metal and nutrient concentrations in Coeur d’Alene Lake, USA. <em>Environ Sci Pollut Res</em> (2023). https://doi.org/10.1007/s11356-023-27211-x
DOI: 10.5281/zenodo.7825632
title: EVIDENT H2020 - Average Price Bias Dataset

description: The average price bias choice quasi-experiment is designed to elicit consumers’ perceptions about different pricing schemes. The experiment aims to correlate the findings with participants’ characteristics, potential behavioural biases and the participants’ financial and environmental literacy levels. The experiment consists of five discrete key sections: 1) a section about participant’s demographic data, 2) a small set of questions related to behavioural biases, 3) a set of questions related to financial literacy, 4) a section with questions related to environmental literacy and 5) the choice experiment about price perceptions. Section 5 presents a hypothetical scenario about the participant’s yearly energy consumption and several pricing tariff options. The participant has to choose a pricing tariff they think is the most cost-effective. There are six (1-6) broader cases, each including four subcategories (a-d). The further the case is from the beginning, the more complicated it is. The implementation of the experiment is as follows: Step 1. The participant first receives the following message: “Assuming that your yearly energy consumption is exactly 6,000 kWh, which one of the following tariffs would you choose as the most cost-effective?” Step 2. Each participant will be asked to participate in only 2 cases (all subcategories of each case are included). A case will be randomly chosen from cases 1-3 (simple case) and a second random choice will be made from cases 4-6 (complex case). Thus, all participants will answer a simple and a complicated set of questions. Step 3. The participant receives the first set of choices. If the participant answers correctly, he receives the next subcategory's choice set. If he answers false, he gets the next set of choices within the same subcategory. Thus, as soon the participant answers correctly, he skips the following set of choices and moves to the next subcategory. For a participant answering correctly, this will be a short survey. However, for someone answering wrong, the survey will last longer. More information can be found on the public deliverables of the EVIDENT project https://evident-h2020.eu/deliverables/. More specifically, the experiment's theoretical framework and motivation are described in deliverable <strong>D1.2</strong> Assessing behavioural biases and financial literacy, in section 5 while the final design is reported in <strong>D3.2</strong> Implementation of preparatory actions for RCT, surveys and serious game.
DOI: 10.5281/zenodo.7825631
title: EVIDENT H2020 - Average Price Bias Dataset

description: The average price bias choice quasi-experiment is designed to elicit consumers’ perceptions about different pricing schemes. The experiment aims to correlate the findings with participants’ characteristics, potential behavioural biases and the participants’ financial and environmental literacy levels. The experiment consists of five discrete key sections: 1) a section about participant’s demographic data, 2) a small set of questions related to behavioural biases, 3) a set of questions related to financial literacy, 4) a section with questions related to environmental literacy and 5) the choice experiment about price perceptions. Section 5 presents a hypothetical scenario about the participant’s yearly energy consumption and several pricing tariff options. The participant has to choose a pricing tariff they think is the most cost-effective. There are six (1-6) broader cases, each including four subcategories (a-d). The further the case is from the beginning, the more complicated it is. The implementation of the experiment is as follows: Step 1. The participant first receives the following message: “Assuming that your yearly energy consumption is exactly 6,000 kWh, which one of the following tariffs would you choose as the most cost-effective?” Step 2. Each participant will be asked to participate in only 2 cases (all subcategories of each case are included). A case will be randomly chosen from cases 1-3 (simple case) and a second random choice will be made from cases 4-6 (complex case). Thus, all participants will answer a simple and a complicated set of questions. Step 3. The participant receives the first set of choices. If the participant answers correctly, he receives the next subcategory's choice set. If he answers false, he gets the next set of choices within the same subcategory. Thus, as soon the participant answers correctly, he skips the following set of choices and moves to the next subcategory. For a participant answering correctly, this will be a short survey. However, for someone answering wrong, the survey will last longer. More information can be found on the public deliverables of the EVIDENT project https://evident-h2020.eu/deliverables/. More specifically, the experiment's theoretical framework and motivation are described in deliverable <strong>D1.2</strong> Assessing behavioural biases and financial literacy, in section 5 while the final design is reported in <strong>D3.2</strong> Implementation of preparatory actions for RCT, surveys and serious game.
DOI: 10.5281/zenodo.7866456
title: Sentiment analysis data and word embeddings for Erzya, Komi-Zyrian, Moksha and Udmurt

description: The aligned sentiment annotated data is in setiment_eval_data.json, vectors.zip has the word embeddings in a textual Gensim format, code.zip has the code and models.zip the sentiment analysis model. Please cite the following paper: <strong>Alnajjar, K., Hämäläinen, M., & Rueter, J, (2023) Sentiment Analysis Using Aligned Word Embeddings for Uralic Languages. In <em>Proceedings of the Second Workshop on Resources and Representations for Under-resourced Languages and Domains (RESOURCEFUL-2023)</em></strong>
DOI: 10.5281/zenodo.7866455
title: Sentiment analysis data and word embeddings for Erzya, Komi-Zyrian, Moksha and Udmurt

description: The aligned sentiment annotated data is in setiment_eval_data.json, vectors.zip has the word embeddings in a textual Gensim format, code.zip has the code and models.zip the sentiment analysis model. Please cite the following paper: <strong>Alnajjar, K., Hämäläinen, M., & Rueter, J, (2023) Sentiment Analysis Using Aligned Word Embeddings for Uralic Languages. In <em>Proceedings of the Second Workshop on Resources and Representations for Under-resourced Languages and Domains (RESOURCEFUL-2023)</em></strong>
DOI: 10.5519/qd.t3xpudo9
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (23 records)
DOI: 10.5519/qd.darib2in
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (9792 records)
DOI: 10.6084/m9.figshare.21539871
title: Prediction of survival and emergence timing of the small brown planthopper Laodelphax striatellus

description: This is a supporting material of following original article published in Ecosphere. Matsukura, K., Sanada-Morimura, S., Fujii, T., Matsumura M., Shiba, T. (2023) Survival of overwintering nymphs of the small brown planthopper and its contribution to emergence timing.