cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.28512575.v2
title: Unravel melt pool and bubble dynamics during laser powder bed fusion of polyamides using synchrotron X-ray imaging and process simulation

description: Laser powder bed fusion (LPBF) of Polyamide 12 (PA12) using a near-infra-red (NIR) beam is largely unexplored; therefore, the beam-matter interaction, evolution mechanisms of the melt pool and defects remain unclear. Here, we employed a combination of <i>in situ</i> synchrotron X-ray imaging, ex situ materials characterisation techniques, and high-fidelity process simulations to study these behaviours during LPBF of PA12. Our results demonstrate that the NIR absorption of PA12 can be improved by 600 times through powder surface modification with C, P and Al species. <i>In situ</i> X-ray images reveal that the PA12 powders undergo melting, viscous merging, volume expansion, warping, solidification, and shrinkage before forming a solid track. Our results uncover the bubble evolution mechanisms during LPBF of PA12. During laser scanning, the high-energy laser beam produces organic substances/vapours which are trapped inside bubbles during viscous merging. These bubbles continue to shrink due to vapour condensation as the polymer cools under a cooling rate range of 200 - 600 K s<sup>−1</sup>. Using the collected data, we have developed a data-driven bubble shrinkage criterion to predict the bubble shrinkage coefficient using the bubble half-life, improving the build quality of LPBF polymeric parts.
DOI: 10.6084/m9.figshare.28512575
title: Unravel melt pool and bubble dynamics during laser powder bed fusion of polyamides using synchrotron X-ray imaging and process simulation

description: Laser powder bed fusion (LPBF) of Polyamide 12 (PA12) using a near-infra-red (NIR) beam is largely unexplored; therefore, the beam-matter interaction, evolution mechanisms of the melt pool and defects remain unclear. Here, we employed a combination of <i>in situ</i> synchrotron X-ray imaging, ex situ materials characterisation techniques, and high-fidelity process simulations to study these behaviours during LPBF of PA12. Our results demonstrate that the NIR absorption of PA12 can be improved by 600 times through powder surface modification with C, P and Al species. <i>In situ</i> X-ray images reveal that the PA12 powders undergo melting, viscous merging, volume expansion, warping, solidification, and shrinkage before forming a solid track. Our results uncover the bubble evolution mechanisms during LPBF of PA12. During laser scanning, the high-energy laser beam produces organic substances/vapours which are trapped inside bubbles during viscous merging. These bubbles continue to shrink due to vapour condensation as the polymer cools under a cooling rate range of 200 - 600 K s<sup>−1</sup>. Using the collected data, we have developed a data-driven bubble shrinkage criterion to predict the bubble shrinkage coefficient using the bubble half-life, improving the build quality of LPBF polymeric parts.
DOI: 10.6084/m9.figshare.28588752
title: Multi-material 3D printed smart floor tiles with triboelectric energy generation and security monitoring

description: With the growing demand for integrated smart home systems driven by advancements in the Internet of Things (IoT) and smart city initiatives, the need for efficient, simple, and self-sustaining sensors has become essential. Triboelectric nanogenerators (TENGs) have recently emerged as a promising device for both energy harvesting and sensing. However, the fabrication of different TENG layers using conventional techniques is often complex, time-intensive, and involves multiple processing steps. Here, a single-step multi-material 3D printing (MMP) approach is used to fabricate the fully functional TENG device, consisting of positive and negative triboelectric layers, current collectors and supporting substrate. Nylon 6 and carbon/polyvinylidene fluoride (C/PVDF) filaments are selected for positive and negative triboelectric layers, respectively and conductive carbon/polylactic acid (C/PLA) filament was selected for both current collectors and wood/PLA is selected for both top and bottom supporting layers. The MMP-TENG is integrated with electronics to showcase its capability for remote monitoring in smart home settings to detect real-time fall detection and security monitoring. This research will pave the way for fabricating a smart floor for security monitoring and energy generation in a smart building.
DOI: 10.6084/m9.figshare.28588752.v1
title: Multi-material 3D printed smart floor tiles with triboelectric energy generation and security monitoring

description: With the growing demand for integrated smart home systems driven by advancements in the Internet of Things (IoT) and smart city initiatives, the need for efficient, simple, and self-sustaining sensors has become essential. Triboelectric nanogenerators (TENGs) have recently emerged as a promising device for both energy harvesting and sensing. However, the fabrication of different TENG layers using conventional techniques is often complex, time-intensive, and involves multiple processing steps. Here, a single-step multi-material 3D printing (MMP) approach is used to fabricate the fully functional TENG device, consisting of positive and negative triboelectric layers, current collectors and supporting substrate. Nylon 6 and carbon/polyvinylidene fluoride (C/PVDF) filaments are selected for positive and negative triboelectric layers, respectively and conductive carbon/polylactic acid (C/PLA) filament was selected for both current collectors and wood/PLA is selected for both top and bottom supporting layers. The MMP-TENG is integrated with electronics to showcase its capability for remote monitoring in smart home settings to detect real-time fall detection and security monitoring. This research will pave the way for fabricating a smart floor for security monitoring and energy generation in a smart building.
DOI: 10.6084/m9.figshare.28464535
title: Optimising the laser powder bed fusion processing parameters of Cu-Al-Ni shape memory alloys: microstructure and functional properties relationship

description: Shape memory alloys (SMA) are intelligent materials that could benefit from additive manufacturing, creating actuators with near-net-morphologies for each particular application. Herein, the complete processing route of a Cu–Al–Ni SMA through Laser Powder Bed Fusion (LPBF) is presented. Beginning from the design of the alloy and the atomization process, the strategy of LPBF is studied focusing on the optimization of the experimental parameters to obtain the highest compaction and optimal functional properties. The produced samples were characterized along the different steps of the processing route, including the thermal transformation, the microstructure and the functional shape memory and superelastic properties. Electron back-scatter diffraction analysis shows a columnar grains microstructure with a preferential [001] texture on the LPBF building direction, which has a noticeable effect on the functional properties. Fully recoverable superelastic effect of 2.7 % tensile strain, and shape memory recovery of ± 4 % bending strain were obtained in LPBF processed samples. These functional performances are compared with those of a powder metallurgy reference sample, evidencing the enhancement of the superelasticity and shape memory obtained by the LPBF processing method. These results pave the road for producing Cu-Al-based SMA by additive manufacturing.
DOI: 10.6084/m9.figshare.28464535.v1
title: Optimising the laser powder bed fusion processing parameters of Cu-Al-Ni shape memory alloys: microstructure and functional properties relationship

description: Shape memory alloys (SMA) are intelligent materials that could benefit from additive manufacturing, creating actuators with near-net-morphologies for each particular application. Herein, the complete processing route of a Cu–Al–Ni SMA through Laser Powder Bed Fusion (LPBF) is presented. Beginning from the design of the alloy and the atomization process, the strategy of LPBF is studied focusing on the optimization of the experimental parameters to obtain the highest compaction and optimal functional properties. The produced samples were characterized along the different steps of the processing route, including the thermal transformation, the microstructure and the functional shape memory and superelastic properties. Electron back-scatter diffraction analysis shows a columnar grains microstructure with a preferential [001] texture on the LPBF building direction, which has a noticeable effect on the functional properties. Fully recoverable superelastic effect of 2.7 % tensile strain, and shape memory recovery of ± 4 % bending strain were obtained in LPBF processed samples. These functional performances are compared with those of a powder metallurgy reference sample, evidencing the enhancement of the superelasticity and shape memory obtained by the LPBF processing method. These results pave the road for producing Cu-Al-based SMA by additive manufacturing.
DOI: 10.6084/m9.figshare.28432406
title: Non-professional phagocytosis of senescent cancer cells revealed in a 3D-bioprinted model of an irradiated lung tumour

description: Three-dimensional (3D) scaffolds represent a transformative tool for studying physiological processes in health and disease contexts by mimicking <i>in vivo</i> conditions that two-dimensional (2D) culture systems cannot capture. This study explores the application of extrusion-based 3D bioprinting technology to create complex scaffolds mimicking the microenvironment of senescent cancer cells induced by radiotherapy. Using a viscoelastic hydrogel bioink composed of a blend of alginate and gelatin, we fabricated scaffolds with porosity and mechanical properties appropriate for culturing lung cells. We then delve into co-culture experiments to understand the cell-cell interactions between spatially patterned populations of normal bronchial epithelial cells (BEAS-2B) and senescent or non-senescent bronchial adenocarcinomic epithelial cells (A549). Normal epithelial cells exhibited non-professional phagocytic activity toward the cancer cells, markedly enhanced when senescence was induced in the cancer cells upon irradiation. As interest in non-animal models grows, these findings underscore the potential of 3D bioprinted platforms to serve as robust alternatives for preclinical research. Created with BioRender.com
DOI: 10.6084/m9.figshare.28432406.v1
title: Non-professional phagocytosis of senescent cancer cells revealed in a 3D-bioprinted model of an irradiated lung tumour

description: Three-dimensional (3D) scaffolds represent a transformative tool for studying physiological processes in health and disease contexts by mimicking <i>in vivo</i> conditions that two-dimensional (2D) culture systems cannot capture. This study explores the application of extrusion-based 3D bioprinting technology to create complex scaffolds mimicking the microenvironment of senescent cancer cells induced by radiotherapy. Using a viscoelastic hydrogel bioink composed of a blend of alginate and gelatin, we fabricated scaffolds with porosity and mechanical properties appropriate for culturing lung cells. We then delve into co-culture experiments to understand the cell-cell interactions between spatially patterned populations of normal bronchial epithelial cells (BEAS-2B) and senescent or non-senescent bronchial adenocarcinomic epithelial cells (A549). Normal epithelial cells exhibited non-professional phagocytic activity toward the cancer cells, markedly enhanced when senescence was induced in the cancer cells upon irradiation. As interest in non-animal models grows, these findings underscore the potential of 3D bioprinted platforms to serve as robust alternatives for preclinical research. Created with BioRender.com
DOI: 10.21233/08wq-h861
title: Lake Delancy diatom surface sample dataset

description: Raw data for the Lake Delancy diatom surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/8n6j-ah45
title: Jezioro Woniesc pollen dataset

description: Raw data for the Jezioro Woniesc pollen dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.15468/dl.gmptfd
title: Occurrence Download

description: A dataset containing 513 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "TaxonKey is Pachycereus weberi (J.M.Coult.) Backeb."
 ]
}

 The dataset includes 513 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026648-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21233/kb3r-0653
title: Paulina Marsh pollen dataset

description: Raw data for the Paulina Marsh pollen dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.15468/dl.zpu72t
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Phytophthora infestans (Mont.) de Bary",
 "Country is Norway",
 "Year is greater than or equal to 1500"
 ]
}

 The dataset includes 10 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026647-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21233/vy8w-pc64
title: Bayou D'Arbonne Lake water chemistry dataset

description: Raw data for the Bayou D'Arbonne Lake water chemistry dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/8bp7-ag61
title: Hahanudan Lake (RkIk-1), [MLZ-00009] vertebrate fauna dataset

description: Raw data for the Hahanudan Lake (RkIk-1), [MLZ-00009] vertebrate fauna dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.15468/dl.t4krm8
title: Occurrence Download

description: A dataset containing 32819 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Carpobrotus edulis (L.) N.E.Br."
 ]
}

 The dataset includes 32819 records from 355 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026646-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21233/ze2r-m540
title: Veuve River ostracode surface sample dataset

description: Raw data for the Veuve River ostracode surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.6084/m9.figshare.28589510
title: Supplemental Table 4

description: Number of features and related compound gene-gene connections for both chromatography types (C18 and HILIC-Z) and ionization modes (positive and negative) combined and separate.
DOI: 10.6084/m9.figshare.28589510.v1
title: Supplemental Table 4

description: Number of features and related compound gene-gene connections for both chromatography types (C18 and HILIC-Z) and ionization modes (positive and negative) combined and separate.
DOI: 10.6084/m9.figshare.28452545
title: iToBoS 2024 - Skin Lesion Detection with 3D-TBP

description: <b>The iToBoS dataset: skin region images extracted from 3D total body photographs for lesion detection</b><br>The early detection of skin cancer is critical for improving patient outcomes. Traditionally, dermatologists rely on dermoscopy to examine pigmented skin lesions. While this non-invasive technique enhances diagnostic accuracy, its effectiveness is highly dependent on the clinician’s expertise. Additionally, capturing dermoscopic images for every suspicious lesion is a labor-intensive process. Given these challenges, there is an increasing need for computer-aided diagnosis (CAD) systems that utilize conventional cameras. Such systems can support general physicians and other non-specialist practitioners in identifying potential malignant lesion, improving early detection and intervention. Moreover, they facilitate longitudinal tracking of lesions, aiding researchers in studying disease progression and treatment efficacy.This dataset provides high-resolution skin patch images extracted from 3D total body photographs to support the development of advanced machine learning models for lesion detection. It serves as a valuable resource for researchers working on automated skin lesion analysis, particularly in the context of total body photography (TBP).<b>Dataset Description:</b><br>The iToBoS dataset consists of 16,954 high-resolution images of skin regions obtained from anonymized 3D avatars of patients. These avatars were generated using the Canfield VECTRA WB360 system, a cutting-edge imaging technology that captures comprehensive, full-body skin images using 92 fixed cameras arranged in 46 stereo pairs with xenon flash lighting. The images were collected from patients at two clinical sites: the Clinical Hospital of Barcelona (Spain) and the University of Queensland (Australia).The dataset provides diverse anatomical locations, including the torso, arms, and legs, with each image having an average resolution of 1012x827 pixels and a 45-pixel overlap between adjacent images. The images are extracted from 3D avatars while ensuring compliance with GDPR regulations by automatically removing patient facial features. Each image is accompanied by metadata, including patient age range, body location, and sun damage score, allowing for in-depth analysis and stratification.<b>Significance of the Dataset:</b><b>Facilitates Automated Skin Lesion Detection:</b> The dataset supports the development of AI-based lesion detection models that can improve early diagnosis of skin cancer, particularly in regions with limited access to dermatological expertise.<b>Supports Total Body Photography Research:</b> Leveraging 3D TBP for lesion detection is an emerging field, and this dataset provides a benchmark for further exploration.<b>Enhances Machine Learning Applications:</b> The dataset serves as a benchmark for developing state-of-the-art computer vision and deep learning models for detection of skin lesions.<br>
DOI: 10.21233/teat-6216
title: Marlette Lake diatom surface sample dataset

description: Raw data for the Marlette Lake diatom surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/1bak-z406
title: Listvyanka-bog2 testate amoebae surface sample dataset

description: Raw data for the Listvyanka-bog2 testate amoebae surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/q1w5-ce17
title: Hilgen Spring Park vertebrate fauna dataset

description: Raw data for the Hilgen Spring Park vertebrate fauna dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.6084/m9.figshare.29041724
title: <b>SSB cooperates with METTL16-mediated m</b><sup><strong>6</strong></sup><b>A RNA methylation to promote chemoresistance in colorectal cancer cells</b>

description: Cells grown in 10 cm dishes at 80-90% confluency were lysed with 500 μL NP-40 buffer (150 mM NaCl, 0.5% NP-40, 10 mM Tris-HCl at pH 7.5, and 0.5 mM EDTA containing a protease inhibitor cocktail), followed by sonication. To identify the proteins in the anti-FLAG (METTL16) antibody-immunoprecipitated samples, Nano-liquid chromatography-nanospray tandem mass spectrometry (Nano-LC/MS/MS) of protein identification was performed by the Mass Spectrometry and Proteomics Facility at the Ohio State University (Columbus, Ohio), using a Thermo Scientific orbitrap Fusion mass spectrometer equipped with an nanospray FAIMS Pro™ Sources operated in positive ion mode. Data were searched using Mascot Daemon (Matrix Science, version 2.7.0; Boston, MA) via ProteomeDiscoverer (version 2.4; Thermo Scientific) and the database searched against the most recent Uniprot databases. Label free quantitation was performed using the spectral count approach, in which the relative protein quantitation was measured by comparing the number of MS/MS spectra identified from the same protein in each of the multiple LC/MSMS datasets. Scaffold was used for data analysis.
DOI: 10.21233/cnga-1c68
title: North Rhody Peatland testate amoebae surface sample dataset

description: Raw data for the North Rhody Peatland testate amoebae surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.17043/oden-artofmelt-2023-nutrients-1
title: Nutrients in seawater, ice, brine, lead, slush, and under-ice water from expedition ARTofMELT, Arctic Ocean 2023
DOI: 10.21233/f3j1-8079
title: Agar Refuge N. Farm ostracode surface sample dataset

description: Raw data for the Agar Refuge N. Farm ostracode surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/68mt-1c24
title: Lake Pasture pollen dataset

description: Raw data for the Lake Pasture pollen dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.