cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/kxr26tcwgf
title: Eat first, fight later: competitive advantage of an invasive cichlid over a native competitor for food resources

description: Data used in the analysis of the manuscript "Eat first, fight later: competitive advantage of an invasive cichlid over a native competitor for food resources.

Abstract: Competition for resources between invasive and native species may lead to negative impacts on native fauna. Behavioral interaction is commonly used by aggressive species to monopolize resources, while invasive species may exhibit higher aggressiveness than native competitors. We evaluated how food resource availability influences agonistic interactions between the invasive Cichlid Oreochromis niloticus and the native Cichlid Geophagus iporangensis, assessing whether the invasive species interferes behaviorally with the native species' feeding activity. We tested a competition scenario in neutral arenas, initially without food, followed by the introduction of food resources. The native Cichlid, used as the focal animal, was exposed to either an invasive or a conspecific competitor. Aggressiveness was higher in the absence of food resources. The aggressiveness of the invasive species did not affect the feeding rate of the native species, and no behavioral interference was observed. Scramble competition was the primary strategy employed by the invasive species to maximize food intake, displaying a sevenfold increase in food consumption than the native species and initiating feeding first in 9 out of 10 trials. Our findings suggest that even for aggressive invasive species, feeding behavior and resource exploitation may play a key role in the competitive exclusion process.
DOI: 10.6084/m9.figshare.11394795.v1
title: GRF_COP_ML_RAW_left

description: This file is structured as a matrix with N rows x M columns. Each row holds the data of one subject and trial. The first column identifies each subject "SUBJECT_ID", the second column each recording session "SESSION_ID", and the third column each single trial within a recording session "TRIAL_ID". Note that due to the non-normalized nature of the data and the resulting different vector lengths, non-available numbers have been replaced by "NaN" to maintain a constant matrix-dimension.
DOI: 10.6084/m9.figshare.12643301.v1
title: Segmented Leaf Images

description: Leaves segmented from their background.
DOI: 10.6084/m9.figshare.14343425.v2
title: Gryllus_bimaculatus_genes_Gbim_1.0.gff

description: Genome annotation for the Gryllus bimaculatus genome assembly Gbim_1.0 obtained by Ylla et al. 2021. "Insights into the genomic evolution of insects from cricket genomes".<br>Genome assembly can be found- FigShare: https://doi.org/10.6084/m9.figshare.14357108.v1<br>- G. bimaculatus databse https://gbimaculatusgenome.rc.fas.harvard.edu- GeneBank GCA_017312745.1 (NCBI change scaffold names)
DOI: 10.6084/m9.figshare.24885609.v1
title: <b>The Gendered Dimensions of Small-Scale Fishing Activities: A Case Study from Coastal Kenya</b>

description: This data supports an empirical research on the gendered dimensions of small-scale fishing activities on the South coast of Kenya. In this research, we applied a mixed method approach, combining an individual survey (n=141) and pebble games (n=35). The data originating from both methods are provided in this dataset, with their metadata. Results from our study indicate that women’s fishing practices are characterized by less fishing gear, less catch, a lower functional diversity of catches, less fishing effort, and less income than those of men but they contribute importantly to local diets, representing up to 50% of the fish and seafood consumed in female-headed households.
DOI: 10.17632/bpfd9cns5g
title: Tomato Leaf Dataset : A dataset for multiclass disease detection and classification

description: The “Tomato Leaf Dataset” is astutely organized into seven types, each type representing a
particular tomato leaf to streamline get to and examination.The data for tomato leaves were collected from tomato gardens in Dina-
jpur, Thakurgaon, and Kushtia. An experienced gardener from Kushtia
and workers from other tomato gardens provided important insights about
tomato leaves. Over seven days, we captured around 731 pictures of all
categories and classified them according to their types.
Number of images: 731
Number of classes: 7
Name if the classes: 1. Category Early Blight
2. Category Black Spot
3. Category Late Blight
4. Category Leaf Mold
5. Category Bacterial Spot
6. Category Target Spot
7. Category Healthy
Number of annotation images : 1621
Annotation format: TXT
DOI: 10.6084/m9.figshare.14538621.v1
title: pan_ecological_genecat_90perc

description: Pan-ecological gene catalog, clustered at 90% identity. Files comprise the consensus sequences (fasta), the mapping between "raw" open reading frame and consensus sequences, and the "overlaps" file, which indicates which ecology each consensus gene appears in.
DOI: 10.17632/2pvx4nwk4w
title: Dataset for multiclassification of parts in industry

description: Data used with 5 different parts for iterative reference set creation. Images were taken with a Logitech camera from parts that were positioned on a table in different ways. It contains two folders, a development one and a test one, randomly built. This is a small dataset that suits the purpose of not using lots of data for multiclassification, which was the objective of the present work. It was shown that is possible to acquire just some relevant images from each in order to train a classifier, a feature descriptor in this case.
DOI: 10.6084/m9.figshare.16989538.v1
title: stock_prices.csv.zip

description: see readme
DOI: 10.6084/m9.figshare.20010191.v1
title: Bee communities net collected from New Jersey watermelon crop flowers

description: Wild bee communities were sampled at watermelon (<em>Citrullus lanatus</em>) farms in the eastern USA. We netted all bees visiting crop flowers within a predefined 50- to 200-m<sup>2</sup> transect. Netting was repeated in three 20-minute periods each sampling day. Specimens were identified to species using published taxonomic keys and assistance by expert taxonomists. <br> Data collection methods are further described in Lemanski et al, 2022, Greater bee diversity is needed to maintain crop pollination over time, Nature Ecology and Evolution. <br> Both files contain the same data, but the file "watermelon_visit_table.csv" is formatted for the main analysis in the manuscript, while the file "njwat_obs.csv" is formatted for use in a null model analysis. <br>
DOI: 10.6084/m9.figshare.21207488.v1
title: Data File for "Measuring A Contract's Breadth: A Textual Analysis"

description: Data file for "Measuring a Contract's Breadth: A Text Analysis"
DOI: 10.6084/m9.figshare.21229505.v1
title: Raw data study 3: A randomized clinical trial of the effects of an eight-week integrated functional core and plyometric training program on young rhythmic gymnasts’ explosive strength

description: Ray data for statistical analyses for the study: A randomized clinical trial of the effects of an eight-week integrated functional core and plyometric training program on young rhythmic gymnasts’ explosive strength
DOI: 10.6084/m9.figshare.28309751.v1
title: <b>Impact of Protocol Directed and </b><b>on-Protocol Directed Weaning From </b><b>Mechanical Ventilation among </b><b>Post-Operative Patients at Surgical ICU</b>

description: Study to understand the Impact of Protocol Directed and on-Protocol Directed Weaning From Mechanical Ventilation among Post-Operative Patients at Surgical ICU
DOI: 10.6084/m9.figshare.28435394.v1
title: Nuclear phylogenomics of alooids (subfam. Alooideae) and Asphodelaceae

description: With &gt;700 species, <i>Aloe</i> and its generic kin (alooids) are a morphologically diverse group of leaf succulents with a wide range across Africa, Madagascar and the Arabian Peninsula. Species such as <i>Aloe vera</i> and <i>A. ferox</i> are cultivated at scale for natural products, whole foods, and cosmetics. Despite substantial α-taxonomy contributions, infrageneric classification of <i>Aloe</i> has remained unresolved. Molecular systematics has been compromised by the lack of informative characters in standard markers and high costs of obtaining informative nuclear loci from large genomes (e.g. &gt;15 Gbp); and the difficulty of obtaining quality DNA extractions from plant material of known provenance. Here these constraints are overcome with target capture sequencing that allows cost-effective sequencing of informative low-copy nuclear loci; and unlocks genetic resources from preserved specimens in herbaria as well as silica-dried plant tissues. Using a custom kit for alooids, 189 nuclear loci in 295 species, including 50 herbarium specimens, were sequenced to build a new phylogenomic framework for the big genus <i>Aloe</i> and 11 closely related genera in Asphodelaceae subfam. Alooideae. Available taxonomic classifications for <i>Aloe</i> sensu stricto were contrasted against the obtained topology in an effort to stabilise the taxonomy. Genus-level representations of the family Asphodelaceae were sequenced with the same tool. The new phylogenomic framework demonstrates the monophyly of the alooids and confirms recent classifications in which smaller genera (<i>Aloidendron</i>, <i>Aloiampelos</i>, <i>Aristaloe</i>, <i>Gonialoe</i>, and <i>Kumara</i>) are separated. The topology for <i>Aloe</i> is strongly correlated with geographic patterns, and to a much lesser extent with habit (growth form), and vegetative or reproductive morphology that are mainstays of α-taxonomy. Repeated incidents of adaptive radiation and niche specialisation appear to underlie species diversity in <i>Aloe</i>. This study illustrates the power of combined (nuclear) phylogenomic and taxonomic (morphological) inference, including the utility of herbarium genomics, in resolving the systematics of big genera.
DOI: 10.6084/m9.figshare.7718720.v1
title: Twitter matrix comm of users - Diaz-Faes et al

description: Dataset: Users activity on Twitter around science from 2011 to 2017 in a selection of social media metrics. Also files for VOSviewer visualisations are provided: random sample of 200,000 Twitter profile accounts descriptions.<br>Díaz-Faes, A.A., Bowman, T. & Costas, R. Towards a second generation of ‘altmetrics’: Characterizing the interactions of Twitter communities of attention around science. PLOS ONE.<br><br>
DOI: 10.17632/rjr2jvhdfy
title: MLD-BD: A Comprehensive Image Dataset for Mango Leaf Disease Detection in Bangladesh

description: The "MLD-BD" dataset is a primary and augmented image dataset specifically curated for mango leaf disease identification and classification, collected from major mango-producing regions in Bangladesh, namely Rajshahi, Chapainawabganj, and Mymensingh. Mango cultivation plays a vital role in the agricultural economy of Bangladesh; however, diseases affecting mango leaves significantly impact production yield and quality. Thus, timely and precise detection is crucial for effective disease management and control measures.

Dataset Overview:

This dataset comprises a total of 9,000 images, systematically organized into two subsets:

Primary (Original) Dataset: Consisting of 3,000 images, with each class containing 600 original images captured directly from the fields.

Augmented Dataset: This subset comprises 6,000 images, with each class having 1,200 images, generated through various data augmentation techniques, including rotation, flipping, scaling, translation, brightness adjustments, and noise addition. This augmentation ensures a diverse representation of each disease, helping improve the robustness and generalization capabilities of machine learning and deep learning models.

Classes:

The dataset covers 5 distinct classes of mango leaf conditions, crucial for practical agricultural applications:

Anthracnose: A fungal disease causing dark, sunken lesions on leaves, severely impacting mango production.

Bacterial Canker: A bacterial infection characterized by water-soaked lesions leading to leaf necrosis and branch dieback.

Die Back: Fungal-induced disease causing progressive death of branches, noticeable leaf browning, and drying.

Gall Midge: Insect infestation leading to abnormal leaf growth, curled leaf structures, and deformation.

Healthy: Images representing disease-free mango leaves for comparative and control purposes.

Data Collection Methodology:

Images were captured using high-resolution smartphone cameras under natural environmental conditions to ensure real-world variability, including different lighting conditions, angles, and backgrounds. Data collection spanned multiple mango orchards across the selected geographical locations to ensure extensive diversity and representativeness.

Regions Covered: Rajshahi, Chapainawabganj, and Mymensingh, Bangladesh.

Image Resolution: Standardized to a resolution suitable for training machine learning models 512×512 pixels.

Format: JPG format, optimized for computational efficiency and easy integration with popular deep learning frameworks.

Applications:

Automated mango leaf disease identification.

Comparative analysis of machine learning and deep learning models.

Development and evaluation of image-processing techniques in precision agriculture.

Usage and Accessibility:

This dataset will be publicly available on Mendeley Data, ensuring easy accessibility and utilization by researchers, data scientists, agriculturists, and practitioners in agricultural informatics.
DOI: 10.17632/x4vbfyb6y2
title: Stable cerium isotopes as a potential new redox proxy: insights from first-principles calculations

description: The calculated CNs, bond lengths, and the the equilibrium isotope fractionation factors of cerium species in this study.
DOI: 10.4225/03/58748eba531cf
title: Input Data From: A Research Graph dataset for connecting research data repositories using RD-Switchboard

description: The open access graph dataset that shows the connections between Dryad, CERN, ANDS and other international data repositories to publications and grants across multiple research data infrastructures. The graph dataset was created using the Research Graph data model and the Research Data Switchboard (RD-Switchboard), a collaborative project by the Research Data Alliance DDRI Working Group (DDRI WG) with the aim to discover and connect the related research datasets based on publication co-authorship or jointly funded grants.
DOI: 10.6084/m9.figshare.28225643.v1
title: FSE_2025_IVR_32_Bug_Report_Toxicity

description: This repository presents a qualitative analysis of toxicity for bug reports on GitHub-based projects
DOI: 10.6084/m9.figshare.1414681.v2
title: BED file of all CpG sites on chromosome 21

description: BED format file, every CpG site on chr21. See http://genome.ucsc.edu/FAQ/FAQformat.html#format1 http://genome.ucsc.edu/cgi-bin/hgCustom
DOI: 10.6084/m9.figshare.19432436.v1
title: creditcard.csv

description: credit card, fraud detection
DOI: 10.6084/m9.figshare.22292686.v1
title: scRNA

description: We characterized the immune context in HPV+ and HPV− HNSCC by integrating scRNA-seq and bulk RNA-seq data.
DOI: 10.6084/m9.figshare.5124349.v1
title: Supplementary Material for: MiR-17-3p Inhibits Angiogenesis by Downregulating Flk-1 in the Cell Growth Signal Pathway

description: MicroRNAs (miRs) are endogenously expressed small noncoding RNAs that regulate gene expression at the posttranscriptional level. Previous works indicated that the miR-17-92 cluster could regulate endothelial cell (EC) functions involved in angiogenesis. miR-17-3p, a component of the miR-17-92 cluster, could control the angiogenic activity of human umbilical vein ECs in a cell-autonomous manner in vitro. A 21-bp fragment from the Flk-1 3′-untranslated region containing miR-17-3p targeting sites was required for the rapid downregulation of Flk-1 expression by in silico and experimental analysis. Subsequently, the downstream cell growth pathway was inhibited by forced upregulation of miR-17-3p. Based on these data, we conclude that miR-17-3p is a negative regulator of the angiogenic phenotype of ECs through its ability to modulate the expression of Flk-1, which is implicated in the pleiotropic effects of miR-17-92 in angiogenesis.
DOI: 10.17632/9fb9b4fngf
title: Advanced Segmentation of X-Ray Coronary Angiography: Leveraging DA-TransUNet for Enhanced Vessel Visualization

description: We used Automatic Region-based coronary artery disease diagnostics using X-Ray angiography imagEs (ARCADE) dataset, publicly available . In this work we applied ARCADE dataset that includes 3,000 XCA images were equally divided for artery classification and stenosis detection, with 1,500 images allocated to each category. The ARCADE dataset was used to diagnose CAD, emphasizing coronary channel tree segmentation with the SYNTAX Score and stenosis detection. For both tasks 1,000 images allocated for training, 200 allotted for validation, and 300 reserved for test.
DOI: 10.6084/m9.figshare.25533542.v1
title: The complete chloroplast genome of the medicinally important plant <i>Plumbago zeylanica</i> L. (plumbaginaceae) and phylogenetic analysis

description: <i>Plumbago zeylanica</i> L. 1753 is a medicinally-important herb in family Plumbaginaceae. In this study, we assembled and reported the complete chloroplast genome of <i>P. zeylanica</i>. The plastome of <i>P. zeylanica</i> was 169,178 bp, including a large single-copy region of 92,135 bp, a small single-copy region (SSC) of 13,455 bp and a pair of inverted repeat regions (IRs) of 31,794 bp. It contained 124 genes, including 79 protein-coding genes, 37 tRNA genes and eight rRNA genes. Phylogenetic analysis showed that <i>P. zeylanica</i> formed a close relationship with <i>P. auriculata</i> in <i>Plumbago.</i> The first complete chloroplast genome report of <i>P. zeylanica</i> providing an opportunity to explore the genetic diversity, and would be also helpful in the species identification and conservation.
DOI: 10.17632/2247ttncmm
title: Data for: Quality and duration of unstressed vowels in Polish

description: Vowel duration and vowel formants of Polish stressed and unstressed vowels.
DOI: 10.15468/dl.s5v6m8
title: Occurrence Download

description: A dataset containing 37243986 species occurrences available in GBIF matching the query:
{
 "or" : [
 "PublishingCountry is Colombia",
 {
 "and" : [
 "Country is Colombia",
 {
 "not" : {
 "Issue" : [
 "is Country coordinate mismatch"
 ]
 }
 }
 ]
 }
 ]
}

 The dataset includes 37243986 records from 4875 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013301-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18403925
title: Supplementary files for "Temporal equivalent of the twistronics"
DOI: 10.5281/zenodo.18403924
title: Supplementary files for "Temporal equivalent of the twistronics"
DOI: 10.5517/ccdc.csd.cc2fbqwd
title: CCDC 2244644: Experimental Crystal Structure Determination

description: Related Article: Xia Li, Debobroto Sensharma,Wells Graham, Volodymyr Bon, En Lin, Xiang-Jing Kong, Tao He, Andrey A. Bezrukov, Zhenjie Zhang, Stefan Kaskel, Timo Thonhauser, Michael J. Zaworotko|2025|Angew.Chem.,Int.Ed.|64|e202507757|doi:10.1002/anie.202507757
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: 10.5517/ccdc.csd.cc2fbqxf
title: CCDC 2244645: Experimental Crystal Structure Determination

description: Related Article: Xia Li, Debobroto Sensharma,Wells Graham, Volodymyr Bon, En Lin, Xiang-Jing Kong, Tao He, Andrey A. Bezrukov, Zhenjie Zhang, Stefan Kaskel, Timo Thonhauser, Michael J. Zaworotko|2025|Angew.Chem.,Int.Ed.|64|e202507757|doi:10.1002/anie.202507757
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: 10.5517/ccdc.csd.cc2fbqyg
title: CCDC 2244646: Experimental Crystal Structure Determination

description: Related Article: Xia Li, Debobroto Sensharma,Wells Graham, Volodymyr Bon, En Lin, Xiang-Jing Kong, Tao He, Andrey A. Bezrukov, Zhenjie Zhang, Stefan Kaskel, Timo Thonhauser, Michael J. Zaworotko|2025|Angew.Chem.,Int.Ed.|64|e202507757|doi:10.1002/anie.202507757
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: 10.5517/ccdc.csd.cc2fbr0k
title: CCDC 2244648: Experimental Crystal Structure Determination

description: Related Article: Xia Li, Debobroto Sensharma,Wells Graham, Volodymyr Bon, En Lin, Xiang-Jing Kong, Tao He, Andrey A. Bezrukov, Zhenjie Zhang, Stefan Kaskel, Timo Thonhauser, Michael J. Zaworotko|2025|Angew.Chem.,Int.Ed.|64|e202507757|doi:10.1002/anie.202507757
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: 10.5517/ccdc.csd.cc2fbqzh
title: CCDC 2244647: Experimental Crystal Structure Determination

description: Related Article: Xia Li, Debobroto Sensharma,Wells Graham, Volodymyr Bon, En Lin, Xiang-Jing Kong, Tao He, Andrey A. Bezrukov, Zhenjie Zhang, Stefan Kaskel, Timo Thonhauser, Michael J. Zaworotko|2025|Angew.Chem.,Int.Ed.|64|e202507757|doi:10.1002/anie.202507757
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: 10.5517/ccdc.csd.cc2h380x
title: CCDC 2297038: Experimental Crystal Structure Determination

description: Related Article: Dalia M. Obeid, Firas Awwadi, Hamdallah A. Hodali|2024|Jordan Journal of Chemistry|19|125|doi:10.47014/19.2.5
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: 10.15468/dl.hp6gwa
title: Occurrence Download

description: A dataset containing 2342 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Phyllocnistis vitifoliella"
 ]
}

 The dataset includes 2342 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000100-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.