cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.14698459
title: Listeria monocytogenes sources, serotypes and antimicrobial susceptibilities

description: Source origin, serotype, ST-Type and antimicrobial susceptibilities of the 317 Listeria monocytogenes isolates of humans, environmental and food origins included in the study
DOI: 10.17632/b93thx27xf.1
title: LINF_310025200

description: Sphingosine N-acyltransferase; Leishmania infantum (strain JPCM5)
DOI: 10.17632/p3g9mgk6dm.1
title: LINF_310020500

description: Putative centrosomal protein; Leishmania infantum (strain JPCM5)
DOI: 10.17632/yr47d9dk3k.1
title: LINF_300041500

description: Zinc finger protein; Leishmania infantum (strain JPCM5)
DOI: 10.17632/mgfk4npkr6.1
title: Impact of adjuvant radiation therapy on survival and recurrence in stages I-III Merkel Cell Carcinoma: a retrospective study of 312 patients

description: Supplemental Figure 1. Panel A, Recurrence-free survival according to treatment. Panel B, local recurrence-free survival according to treatment. Panel C, in-transit recurrence-free survival according to treatment. Panel D, regional-lymph node recurrence-free survival according to treatment. Panel E, distant-metastasis free survival according to treatment. 
Supplemental Table I. Baseline treatment and patterns of recurrence, according to nodal status at baseline
Supplemental Table II. Univariate and multivariate Cox proportional hazard analysis for MCC related death and MCC recurrence 
Supplemental Table III. Multivariate Cox proportional hazard analysis for local, in transit, regional recurrence and distant metastasis free survival
Supplemental Table IV. Recurrence patterns after aRT on tumoral bed, according to nodal status at baseline 
Supplemental Table V. Recurrence patterns after aRT on LN area, according to nodal status at baseline
DOI: 10.17632/zbbrbzrdtd.1
title: Generative Adversarial Networks Enable Outlier Detection and Property Monitoring for Additive Manufacturing of Complex Structures [dataset]

description: Microstructure dataset utilized in "Generative Adversarial Networks Enable Outlier Detection and Property Monitoring for Additive Manufacturing of Complex Structures" (http://dx.doi.org/10.2139/ssrn.4711476 ):
- lattice structures in folder lattice_structures were employed in Section 3.1
- spherical voids in folders spherical_voids and spherical_voids_perturbed were employed in Section 3.2

The lattice structures are extracted from the CT scans in "Image-based numerical characterization and experimental validation of tensile behavior of octet-truss lattice structures" (https://doi.org/10.1016/j.addma.2021.101949)
DOI: 10.17632/6v5mxxvdxh.2
title: Preconception diet interventions in obese outbred mice and the impact on female offspring metabolic health and oocyte quality

description: This dataset contains raw data of the manuscript entitled "Preconception diet interventions in obese outbred mice and the impact on female offspring metabolic health and oocyte quality".
DOI: 10.17632/spwd6cdns2.1
title: LINF_170017700

description: Alpha/beta hydrolase family protein; Leishmania infantum (strain JPCM5)
DOI: 10.17632/n93z74dvyp.1
title: LDHU3_15.1100

description: Peroxisomal membrane protein (Pex16); Leishmania donovani (HU3 strain)
DOI: 10.17632/pb6xs2fzwc.1
title: VOCdataset_2022_MPMDelhi

description: The dataset here consists of primary VOC , CO , Ozone and meteorological data (1 h temporal resolution) alongwith Date and local time for monsoon season and post-monsoon season acquired in 2022 and reported in the following scientific study:
 Mishra, S., Sinha, V., Hakkim, H., Awasthi, A., Ghude, S. D., Soni, V. K., Nigam, N., Sinha, B., and Rajeevan, M. N.: Reactive chlorine, sulphur and nitrogen containing volatile organic compounds impact atmospheric chemistry in the megacity of Delhi during both clean and extremely polluted seasons , EGUsphere [preprint], https://doi.org/10.5194/egusphere-2024-500, 2024. 
VOC data was acquired using a PTR-TOF-MS -10K and for more method related information reader may refer to cited study in Atmospheric Chemistry and Physics journal
DOI: 10.17632/gtdb6fyzwp.1
title: LDHU3_15.1090

description: Protein of unknown function - conserved; Leishmania donovani (HU3 strain)
DOI: 10.17632/z824x4wzwf.1
title: Comparison of CC, TC, RoMeFo trajectory conditions applied for rotational forming of axially asymmetric geometries

description: Presented data were analyzed in the manuscript titled: "Computer Aided Engineering in the application of rotational forming of axially asymmetric geometries"

Theorem: "Rotational forming of axisymmetric metal products requires an adaptation of the forming trajectory design method to the axisymmetric geometry. Conventional products with a circular cross-section can be formed using the condition of a fixed position of the forming zone, while axisymmetric products should take into account the change in position of the forming zone. Taking this phenomenon into account will make it possible to form products: higher, with a better surface, more complex geometry, etc."

***Data.xlsx ***
Data set used in the article: "Computer Aided Engineering in the application of rotational forming of axially asymmetric geometries". The data includes: 
angular rotation of the mandrel, 
the angle between the front and side surfaces, 
a set of trajectory points generated with the condition of constant CC contact, 
the set of trajectory points generated with the TC contact condition, 
set of trajectory points generated with the RoMeFo program, 
set of subtraction operations: CC - TC, 
set of subtraction operations: CC - RoMeFo, 
set of subtraction operations: TC - RoMeFo,
normal error distribution: CC-TC
normal error distribution: CC-RoMeFo
normal error distribution: TC-RoMeFo

1 column: Mandrel rotation ri [°]
2 column: Angle betwen front and side φi [°] of mandrel surfaces
3 column: CC [mm] - trajectory generated with condtition Constant Contact
4 column: TC [mm] - trajectory generated with condtition Tangential Contact
5 column: RoMeFo [mm] - trajectory generated with condition Tangential Contact by program RoMeFo
6 column: CC-55, from values CC the value 55was subtracted
7 column: TC-55, from values CC the value 55was subtracted
8 column: RoMeFo-55, from values CC the value 55was subtracted
9 column: δ_(CC-TC)=(((CC-55) - (TC-55)) / 2.5mm)⋅100%. Values from column 6 and 7 were subtracted and then divided by value 2.5, which was workpiece thickness
10 column: δ_(CC-RoMeFo)=(((CC-55)-(RoMeFo-55)) / 2.5mm)⋅100%. Values from column 6 and 8 were subtracted and then divided by value 2.5, which was workpiece thickness
11 column: δ_(TC-RoMeFo)=(((TC-55)-(RoMeFo-55)) / 2.5mm)⋅100%. Values from column 7 and 8 were subtracted and then divided by value 2.5, which was workpiece thickness
12 column: Normal distribution CC-TC, values calculated using mean=-61% (row 366, column 9), Standard deviation=0.712 (row 367, column 9)
13 column: Normal distribution CC-RoMeFo, values calculated using mean=-61% (row 366, column 10), Standard deviation=0.711 (row 367, column 10)
14 column: Normal distribution CC-RoMeFo, values calculated using mean=1% (row 366, column 11), Standard deviation=0.006 (row 367, column 11)
***

***Model do MESV4 RoMeFo V1***
Assembly model of mandrel, roller and workpiece used for generating trajectories with conditions CC and TC.
***
DOI: 10.4121/415c5a6e-1f17-440e-8e1f-753f90732f9b
title: Annotated SYMSOL II extension dataset from the paper "Symmetry-induced ambiguity in orientation estimation from RGB images"

description: This is the annotated SYMSOL II extension from the paper "Symmetry-Induced ambiguity in orientation estimation from RGB images". Contained are 45000 training images and 5000 test images for both marked cylinder and marked tetrahedron objects. Test images are annotated with full symmetry sets. Training images are annotated only with the groundtruth orientation.<br><br>Data is separated into two directories: "/train/" and "/test/" holding training data and test data respectively. Both directories are further subdivided into "/cylO/" and "/tetX/" directories for the marked cylinder and marked tetrahedron respectively.<br>Annotations are stored as lists of numpy arrays in pickle files (.pkl). The annotation for a given image is stored at the corresponding index in the annotation list. In the training data, each image is annotated with a single 3x3 ground truth rotation matrix. In the test data, each image is annotated with an Nx3x3 array of rotation matrices, where N is the number of rotations in the symmetry set. Continuous symmetry sets for the marked cylinder are sampled at a 1-degree angular resolution.<br>
DOI: 10.4121/415c5a6e-1f17-440e-8e1f-753f90732f9b.v1
title: Annotated SYMSOL II extension dataset from the paper "Symmetry-induced ambiguity in orientation estimation from RGB images"

description: This is the annotated SYMSOL II extension from the paper "Symmetry-Induced ambiguity in orientation estimation from RGB images". Contained are 45000 training images and 5000 test images for both marked cylinder and marked tetrahedron objects. Test images are annotated with full symmetry sets. Training images are annotated only with the groundtruth orientation.<br><br>Data is separated into two directories: "/train/" and "/test/" holding training data and test data respectively. Both directories are further subdivided into "/cylO/" and "/tetX/" directories for the marked cylinder and marked tetrahedron respectively.<br>Annotations are stored as lists of numpy arrays in pickle files (.pkl). The annotation for a given image is stored at the corresponding index in the annotation list. In the training data, each image is annotated with a single 3x3 ground truth rotation matrix. In the test data, each image is annotated with an Nx3x3 array of rotation matrices, where N is the number of rotations in the symmetry set. Continuous symmetry sets for the marked cylinder are sampled at a 1-degree angular resolution.<br>
DOI: 10.17632/wrgg8chnmv.1
title: Metadata Age at breeding-female progeny

description: Here you will find the necessary information to use the "Data Age at breeding-female progeny" file with the three folders corresponding to "Growth, Hormones and metabolites and Reproductive".
DOI: 10.17632/c8rpv6tb4j.1
title: LDHU3_15.1230

description: ATP-binding cassette protein subfamily G member 4 | ABCG4; Leishmania donovani (HU3 strain)
DOI: 10.17632/37y6z4m8s7.1
title: LDHU3_15.1110

description: Dolichol phosphate-mannose biosynthesis regulatory protein (DPM2); Leishmania donovani (HU3 strain)
DOI: 10.17632/g3cmj46xyx.1
title: Ultrasound Breast images denoising using Generative Adversarial Networks (GANs)

description: Ultrasound imaging plays an important role in screening early detection and breast cancer diagnosis. However, speckle noise affects medical ultrasound images and degrades the visual radiologic evaluation, which generally causes several difficulties in identifying the malignant and benignant regions. Denoising is an important step in preprocessing medical images, because it restores the maximum details preserving edges and all information of the images, achieving successful accuracy in anomalies classification. To reduce the speckle noise and retain image features well, we proposed two GANs models to breast ultrasound speckle denoising as preprocessing image, (i) Conditional GAN and (ii) WGAN. The better denoising image quality was measured by peak signal to noise ratio (PSNR) and structural similarity index (SSIM). The experimental analysis clearly shows that the CGAN method achieves better visual image quality in terms of PSNR=38.18 dB and SSIM= 0.96 with respect to WGAN model (PSNR=33.0068 dB and SSIM=0.91) on the small Ultrasound training datasets. Thus, we conclude that GANs can help in denoising ultrasound medical imaging, and as a future work these data can be used as computer system input for image segmentation and classification, reducing the hand-dependence and helping radiologists to improve breast cancer detection.
DOI: 10.15468/dl.3zek7s
title: Occurrence Download

description: A dataset containing 29 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is The Coleoptera collection (EC) of the Muséum national d'Histoire naturelle (MNHN - Paris)",
 "Geometry POLYGON((288.5451 20.13527,286.47429 20.16689,285.16226 18.9655,285.54164 17.79574,288.89287 17.76412,290.67913 17.41635,291.61178 18.06447,291.91213 18.94969,289.71486 20.26173,288.5451 20.13527))"
 ]
}

 The dataset includes 29 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004207-250117142028555/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/jyrpd397y7.1
title: FBRM as a tool to monitor cellulose regeneration

description: cellulose regeneration was monitored on real time by using a focused beam reflectance measurements (FBRM) under different conditions. Effect of aging, concentration and temperature was studied.
DOI: 10.17632/rzxxk4sgg6.1
title: Synthetic Reaction Wheel Datasets for Nominal and Faulty Conditions as Used for Training the One-Dimensional Sliding Window Residual Network Proposed

description: All of the datasets provided here have been generated in MATLAB. The datasets describe the measurement outputs of the continuous operation of a reaction wheel based on Bialke's high fidelitiy RW model onboard a satellite that undergoes different faults.


If you import any of these datasets into MATLAB, a cell-type variable called "dataset" will show up.

You can also load them for use in Python and other usages.


Datasets #1-#3, #4-#6, and #7-#9 are grouped together and are describing the same signals from different perspectives, therefore,

they have the same number of cells. For example, the 10th cells of datasets #1-#3 describe the same signal.

More information about the datasets is available in Table III in the referenced paper.


For any of the MJAPF and SPF datasets, each cell is of the form 2x1001 doubles. 

For these datasets, the first row is the descriptor vector of the signal and the second row corresponds to the signal

as perceived by MJAPF or SPF. Both signals have 1001 time steps. The time steps are 0.1 seconds apart, meaning that 1001 encompasses operational details of the reaction wheel over about 100 seconds.



The raw datasets' cells are of the form 5x1001 doubles.

The first row is, again, the descriptor row.

The second row is the reaction wheel's motor current as received by sensors (with sensor noise).

The third row is the reaction wheel's angular velocity as received by sensors (with sensor noise).

The fourth row is the reaction wheel's motor current with process noise but without the measurement noise (true signals).

The fifth row is the reaction wheel's angular velocity with process noise but without the measurement noise (true signals).



Therefore, the datasets are structured as follows:

1) For MJAPF- or SPF-treated datasets:
First row: Descriptors that describe the health state of the reaction wheel at each time step and have no units since it is a categorical variable.

Second row: The reaction wheel motor's electrical current (I_m), as estimated by MJAPF or SPF, has the unit of Amperes (A).



2) For raw datasets:
First row: Descriptors that describe the health state of the reaction wheel at each time step and have no units since it is a categorical variable.

Second row: The reaction wheel motor measures the electrical current (I_m) without undergoing any treatments and has the unit of Amperes (A).

Third row: The reaction wheel measures angular velocity (omega_m) without undergoing any treatments and has the unit of Radians per second (rad/s).

Fourth row: Reaction wheel motor's real or true process electrical current (I_m) without undergoing any treatments and has the unit of Amperes (A).

Fifth row: Reaction wheel's real or true process angular velocity (omega_m) without undergoing any treatments and has the unit of Radians per second (rad/s).
DOI: 10.17632/m8sxc52ccr.2
title: Resonance of Wastewater Experiment 2

description: These data are supplementary materials to an article that addresses the critical question of why climate change messages are often rejected by certain social groups, and explores the challenging question of how to promote environmentally friendly behaviour through better communication. Unlike previous studies that take a linear approach to media influence, this study examines the socio-cultural cognitive dynamics in responses to environmental information. It integrates theories from connectionist neuropsychology, cognitivist anthropology, cultural sociology and Bourdieu's practical reason. An experiment was conducted to test the theory. A basic information text and three newspaper-like articles were randomly assigned to a panel of 1,040 participants. A mixed methods approach was used to test the cognitive resonance of these articles. Results show that the interpretations of the news articles depend on the interaction between media frames and participants' prior cognitive representations, with cognitive and affective predispositions of their social group playing an important role. The study also provides insights into the effects of fear appeals in environmental communication.
DOI: 10.17632/hpbxr2x8f9.4
title: Mangrove Ecosystem Services (Global Review)

description: Dataset of scientific papers on mangrove ecosystem services worldwide.
DOI: 10.17632/sxmgyvxpv9.1
title: Data-driven E-commerce UI Personalization: Going Beyond Product Recommendations

description: The dataset includes
1. online store customer behavior data (clickstream) from 1.04.-30.11.2023, used to cluster customers and evaluate the effectiveness of implemented modifications (catalog: learning-dataset)
2. clustering results to verify the effectiveness of implemented changes (catalog: clustering)
3. detailed data for calculation of macro-conversion indicators (catalog: macro-conversion-indicators)
3. detailed data for calculation of micro-conversion indicators (catalog: micro-conversion-indicators)
DOI: 10.17632/zbbrbzrdtd.2
title: Generative Adversarial Networks Enable Outlier Detection and Property Monitoring for Additive Manufacturing of Complex Structures [dataset]

description: Microstructure dataset utilized in "Generative Adversarial Networks Enable Outlier Detection and Property Monitoring for Additive Manufacturing of Complex Structures" (http://dx.doi.org/10.2139/ssrn.4711476 ):
- lattice structures in folders lattice_structures and lattice_structures_defective were employed in Section 3.1
- spherical voids in folders spherical_voids and spherical_voids_perturbed were employed in Section 3.2

The lattice structures are extracted from the CT scans in "Image-based numerical characterization and experimental validation of tensile behavior of octet-truss lattice structures" (https://doi.org/10.1016/j.addma.2021.101949)
DOI: 10.17632/78gkrr7bhm.1
title: LINF_320025800

description: Protein of unknown function - conserved; Leishmania infantum (strain JPCM5)
DOI: 10.17632/kcg77gsk2b.1
title: Regulatory small RNAs as antimicrobial drug targets

description: Figures depict the genetic features of sRNAs, investigating where they are located, how they are regulated, and their roles in major pathogenic bacteria.
DOI: 10.17632/ymmg7sjygh.1
title: Structural data on transportan 10 and peptiplexes with DNA

description: Raw data from structure-activity studies on peptiplexes (i.e., complexes made between peptides and DNA) formed by the cell-penetrating peptide transportan 10 (TP10) and calf-thymus DNA sonicated into ~200 bp fragments. The folder contain raw data from SAXS assays, fluoremetry and CD experiments, microscopy images.
DOI: 10.17632/t27brfz8sz.1
title: Supplementary data of major inorganic ions of PETSCI 533

description: Major inorganic ions analysis results in FPW samples
DOI: 10.17632/5k2j43fw35.1
title: LDHU3_15.1290

description: 40S ribosomal protein S3 | uS3; Leishmania donovani (HU3 strain)
DOI: 10.17632/vkkmzyyjmh.1
title: LDHU3_15.1240

description: Hypothetical protein - conserved; Leishmania donovani (HU3 strain)
DOI: 10.17632/w7w3myjpgc.1
title: Neurofilament proteins as potential biomarker in chemotherapy-induced polyneuropathy

description: This xlsx file encompasses all clinical data from the registered CICARO trial (NCT02753036) that was used for the analysis referenced in the JCI Insight publication: 
Huehnchen and Schinke et al. Neurofilament proteins as potential biomarkers in chemotherapy-induced polyneuropathy. 7(6):e154395. doi: 10.1172/jci.insight.154395. 
Patients were double pseudonymized to protect their privacy.
All preclinical data from the cell culture studies are available upon reasonable request from Christian Schinke (Charité - Universitätsmedizin Berlin).
DOI: 10.17632/tzd7bhk993.1
title: A CLIC1 network coordinates matrix stiffness and the Warburg effect to promote tumor growth in pancreatic cancer. Zheng et al.

description: In a study exploring the intricate relationship between PDAC matrix stiffness and the Warburg effect, Zheng et al. reveal CLIC1 as a critical mediator. Matrix stiffness increases CLIC1 levels through the Wnt/β-catenin/TCF4 pathway, correlating with adverse outcomes and tumor progression. Reducing matrix stiffness may offer therapeutic benefits by targeting CLIC1.
This data is the original immunoblotting data of the above study.
DOI: 10.17632/myg9s3zvyf.1
title: LDHU3_15.1320

description: E1-like ubiquitin-activating enzyme | UBA5; Leishmania donovani (HU3 strain)
DOI: 10.17632/sb52syy8nb.1
title: LDHU3_15.1310

description: FAD-linked sulfhydryl oxidase | Erv | POMP4; Leishmania donovani (HU3 strain)
DOI: 10.17632/x49yj8588t.1
title: Dataset for Extended TAM Study: Includes Translated Questionnaire, Filtered Raw Data, SmartPLS Input and Analysis Results

description: This dataset includes:

Translated Questionnaire: An extended Technology Acceptance Model (TAM) questionnaire, including variables for Subjective Norms, Trust, and Ethics.
Filtered Raw Data: Data collected from the survey, filtered and translated from Indonesian to English.
SmartPLS Input Data: Prepared data ready for analysis in SmartPLS.
SmartPLS Analysis Results: Results from the SmartPLS analysis, including model outputs and interpretations.
DOI: 10.17632/f8fdmpp6yh.1
title: Soybean Market News Dataset

description: This dataset encompasses a comprehensive collection of soybean market news articles, meticulously curated and labeled for relevance. Collected from the prominent Brazilian website "noticiasagricola.com.br" from January 2015 to June 2023, the dataset features a diverse range of content, including international, national, and regional perspectives.

Features:
 Data Attributes: Date, headline, content, label, and embeddings from three pre-trained BERT models (Paraphrase Multilingual, Distilbert Multilingual, and BERTimbau).
 Labeling: News articles are labeled as either relevant or irrelevant, providing a binary classification for ease of analysis.
 Coverage: The dataset spans various aspects of the soybean market, offering insights into climate conditions, research findings, consulting information, technological advancements, diseases and pests, and logistics.
 Language: Portuguese

Potential Applications:
 Natural Language Processing (NLP) tasks;
 Machine Learning Task(ML);
 Multimodal Predictions.

Benefits:
 Diverse sources (544 international, national, and regional providers);
 Enriched with embeddings for advanced NLP applications
 Covers a wide range of soybean market aspects

Usage: Researchers and practitioners in the fields of agriculture, economics, and data science can leverage this dataset for in-depth analyses, model development, and trend exploration within the soybean market.