cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7295815
title: Amos: A large-scale abdominal multi-organ benchmark for versatile medical image segmentation (Unlabeled Data Part III)

description: Despite the considerable progress in automatic abdominal multi-organ segmentation from CT/MRI scans in recent years, a comprehensive evaluation of the models' capabilities is hampered by the lack of a large-scale benchmark from diverse clinical scenarios. Constraint by the high cost of collecting and labeling 3D medical data, most of the deep learning models to date are driven by datasets with a limited number of organs of interest or samples, which still limits the power of modern deep models and makes it difficult to provide a fully comprehensive and fair estimate of various methods. To mitigate the limitations, we present AMOS, a large-scale, diverse, clinical dataset for abdominal organ segmentation. AMOS provides 500 CT and 100 MRI scans collected from multi-center, multi-vendor, multi-modality, multi-phase, multi-disease patients, each with voxel-level annotations of 15 abdominal organs, providing challenging examples and test-bed for studying robust segmentation algorithms under diverse targets and scenarios. We further benchmark several state-of-the-art medical segmentation models to evaluate the status of the existing methods on this new challenging dataset. We have made our datasets, benchmark servers, and baselines publicly available, and hope to inspire future research. The paper can be found at https://arxiv.org/pdf/2206.08023.pdf In addition to providing the labeled 600 CT and MRI scans, we expect to provide 2000 CT and 1200 MRI scans without labels to support more learning tasks (semi-supervised, un-supervised, domain adaption, ...). The link can be found in: labeled data (500CT+100MRI) unlabeled data Part I (900CT) unlabeled data Part II (1100CT) (Now there are 1000CT, we will replenish to 1100CT) unlabeled data Part III (1200MRI) if you found this dataset useful for your research, please cite: <pre>@article{ji2022amos, title={AMOS: A Large-Scale Abdominal Multi-Organ Benchmark for Versatile Medical Image Segmentation}, author={Ji, Yuanfeng and Bai, Haotian and Yang, Jie and Ge, Chongjian and Zhu, Ye and Zhang, Ruimao and Li, Zhen and Zhang, Lingyan and Ma, Wanling and Wan, Xiang and others}, journal={arXiv preprint arXiv:2206.08023}, year={2022} }</pre>
DOI: 10.6084/m9.figshare.21509670
title: SGSPG analysis data

description: The data including results of machine learning results and input data
DOI: 10.6084/m9.figshare.21509670.v1
title: SGSPG analysis data

description: The data including results of machine learning results and input data
DOI: 10.5281/zenodo.7262757
title: Amos: A large-scale abdominal multi-organ benchmark for versatile medical image segmentation (Unlabeled Data Part I)

description: Despite the considerable progress in automatic abdominal multi-organ segmentation from CT/MRI scans in recent years, a comprehensive evaluation of the models' capabilities is hampered by the lack of a large-scale benchmark from diverse clinical scenarios. Constraint by the high cost of collecting and labeling 3D medical data, most of the deep learning models to date are driven by datasets with a limited number of organs of interest or samples, which still limits the power of modern deep models and makes it difficult to provide a fully comprehensive and fair estimate of various methods. To mitigate the limitations, we present AMOS, a large-scale, diverse, clinical dataset for abdominal organ segmentation. AMOS provides 500 CT and 100 MRI scans collected from multi-center, multi-vendor, multi-modality, multi-phase, multi-disease patients, each with voxel-level annotations of 15 abdominal organs, providing challenging examples and test-bed for studying robust segmentation algorithms under diverse targets and scenarios. We further benchmark several state-of-the-art medical segmentation models to evaluate the status of the existing methods on this new challenging dataset. We have made our datasets, benchmark servers, and baselines publicly available, and hope to inspire future research. The paper can be found at https://arxiv.org/pdf/2206.08023.pdf In addition to providing the labeled 600 CT and MRI scans, we expect to provide 2000 CT and 1200 MRI scans without labels to support more learning tasks (semi-supervised, un-supervised, domain adaption, ...). The link can be found in: labeled data (500CT+100MRI) unlabeled data Part I (900CT) unlabeled data Part II (1100CT) (Now there are 1000CT, we will replenish to 1100CT) unlabeled data Part III (1200MRI) if you found this dataset useful for your research, please cite: <pre>@article{ji2022amos, title={AMOS: A Large-Scale Abdominal Multi-Organ Benchmark for Versatile Medical Image Segmentation}, author={Ji, Yuanfeng and Bai, Haotian and Yang, Jie and Ge, Chongjian and Zhu, Ye and Zhang, Ruimao and Li, Zhen and Zhang, Lingyan and Ma, Wanling and Wan, Xiang and others}, journal={arXiv preprint arXiv:2206.08023}, year={2022} }</pre>
DOI: 10.5281/zenodo.7262585
title: Amos: A large-scale abdominal multi-organ benchmark for versatile medical image segmentation (Unlabeled Data Part I)

description: Despite the considerable progress in automatic abdominal multi-organ segmentation from CT/MRI scans in recent years, a comprehensive evaluation of the models' capabilities is hampered by the lack of a large-scale benchmark from diverse clinical scenarios. Constraint by the high cost of collecting and labeling 3D medical data, most of the deep learning models to date are driven by datasets with a limited number of organs of interest or samples, which still limits the power of modern deep models and makes it difficult to provide a fully comprehensive and fair estimate of various methods. To mitigate the limitations, we present AMOS, a large-scale, diverse, clinical dataset for abdominal organ segmentation. AMOS provides 500 CT and 100 MRI scans collected from multi-center, multi-vendor, multi-modality, multi-phase, multi-disease patients, each with voxel-level annotations of 15 abdominal organs, providing challenging examples and test-bed for studying robust segmentation algorithms under diverse targets and scenarios. We further benchmark several state-of-the-art medical segmentation models to evaluate the status of the existing methods on this new challenging dataset. We have made our datasets, benchmark servers, and baselines publicly available, and hope to inspire future research. The paper can be found at https://arxiv.org/pdf/2206.08023.pdf In addition to providing the labeled 600 CT and MRI scans, we expect to provide 2000 CT and 1200 MRI scans without labels to support more learning tasks (semi-supervised, un-supervised, domain adaption, ...). The link can be found in: labeled data (500CT+100MRI) unlabeled data Part I (900CT) unlabeled data Part II (1100CT) (Now there are 1000CT, we will replenish to 1100CT) unlabeled data Part III (1200MRI) if you found this dataset useful for your research, please cite: <pre>@article{ji2022amos, title={AMOS: A Large-Scale Abdominal Multi-Organ Benchmark for Versatile Medical Image Segmentation}, author={Ji, Yuanfeng and Bai, Haotian and Yang, Jie and Ge, Chongjian and Zhu, Ye and Zhang, Ruimao and Li, Zhen and Zhang, Lingyan and Ma, Wanling and Wan, Xiang and others}, journal={arXiv preprint arXiv:2206.08023}, year={2022} }</pre>
DOI: 10.6084/m9.figshare.21509706
title: Tabla Líderes Políticos

description: Tabla que expone los resultados del estudio de los chequeos por partido político e ideología a partir de los verificados a los líderes políticos españoles. Investigación: <em>Chequeando al fact-checker. Prácticas de verificación política y sesgos partidistas en España.</em>
DOI: 10.6084/m9.figshare.21509706.v1
title: Tabla Líderes Políticos

description: Tabla que expone los resultados del estudio de los chequeos por partido político e ideología a partir de los verificados a los líderes políticos españoles. Investigación: <em>Chequeando al fact-checker. Prácticas de verificación política y sesgos partidistas en España.</em>
DOI: 10.25911/xwxx-2w46
title: Groundwater storage volume change over Lachlan catchment, 1996-2021

description: The data set includes catchment-averaged groundwater volume change for Upper Lachlan and Belubula, Lachlan catchment, New South Wales, Australia, from 1996 to mid-2021. It also consists of the long-term evolution of groundwater storage change for the climate events over the area since 1996; (1) Millennium drought (1996-2009), (2) La Nina and floods (2010-2016), drought (2017-2019), and La Nina (2020-min2021).
DOI: 10.5281/zenodo.5749220
title: Dataset: Improving the prediction of fertilizer phosphorus availability to plants with simple, but non-standardized extraction techniques

description: Dataset: Improving the prediction of fertilizer phosphorus availability to plants with simple, but non-standardized extraction techniques
DOI: 10.5281/zenodo.5749221
title: Dataset: Improving the prediction of fertilizer phosphorus availability to plants with simple, but non-standardized extraction techniques

description: Dataset: Improving the prediction of fertilizer phosphorus availability to plants with simple, but non-standardized extraction techniques
DOI: 10.5281/zenodo.7175835
title: recommender systems

description: A collection of datasets for recommender systems.
DOI: 10.5281/zenodo.7175950
title: recommender systems

description: A collection of datasets for recommender systems.
DOI: 10.5281/zenodo.7184851
title: recommender systems

description: A collection of datasets for recommender systems.
DOI: 10.5281/zenodo.7175834
title: recommender systems

description: A collection of datasets for recommender systems.
DOI: 10.5281/zenodo.7184869
title: recommender systems

description: A collection of datasets for recommender systems.
DOI: 10.5281/zenodo.7297855
title: recommender systems

description: A collection of datasets for recommender systems.
DOI: 10.20372/aau_rdr/pvmlyq/7fbujn
title: Nima G data 1(1)(1).tab

description: :unav
DOI: 10.20372/aau_rdr/pvmlyq
title: DETERMINANTS OF SMALL SCALE IRRIGATION PARTICIPATION DECISION AND ITS IMPACT ON HOUSEHOLD FOOD SECURITY IN LUME DISTRICT OROMIA REGION

description: The data are collected for the purpose of assessing factors affecting smallholder farmers’ participation in irrigation, and the impacts of small-scale irrigation on farm households’ food security.
DOI: 10.6084/m9.figshare.21509781
title: A cross sectional study on assessment of spiritual health and its associated factors among undergraduate students in a medical college in Mangalore, Karnataka

description: Please find the Excel sheet of the data
DOI: 10.5281/zenodo.7297772
title: Genome sequencing and assembly of Lathyrus sativus

description: The dataset contains the whole-genome assembly and protein sequences of <em>Lathyrus sativus</em> cultivar Pusa-24.
DOI: 10.25440/smu.21509784
title: Data and code for "DeepFacade: A deep learning approach to facade parsing"

description: An implementation for the paper DeepFacade: A Deep Learning Approach to Facade Parsing with Symmetric Loss. <br> Look into <code>main.py</code> for how to run the code. <br> This code was tested in pytorch 0.4.1. For any updates, visit the GitHub repository at https://github.com/liuhantang/DeepFacade
DOI: 10.25440/smu.21509784.v1
title: Data and code for "DeepFacade: A deep learning approach to facade parsing"

description: An implementation for the paper DeepFacade: A Deep Learning Approach to Facade Parsing with Symmetric Loss. <br> Look into <code>main.py</code> for how to run the code. <br> This code was tested in pytorch 0.4.1. For any updates, visit the GitHub repository at https://github.com/liuhantang/DeepFacade
DOI: 10.15151/esrf-es-980611086
title: iNEXT Discovery: Structural biology for translational research and discovery.

description: The aim of this proposal is to provide user access to Online crystallography and fragment screening pipelines based on the combination of EMBL’s HTX Lab services and the CrystalDirect Technology and automated data collection at ESRF’s MX beamlines, supported through the collaborative EMBL-ESRF Joint Structural Biology Group (JSBG). This will include three different user access modalities: 1) Large-Scale Fragment Screening, 2) Structural characterization of ligand-target complexes and 3) Online Crystallography (automated protein-to-structure pipeline). This work will be carried out in the context of international collaborative projects. Access to these modalities will require competitive application and peer-review through projects like the E.C. funded iNEXT Discovery or the recently awarded ISIDORe.
DOI: 10.15151/esrf-es-928402160
title: Structure of metalloproteins, membrane proteins, filamentous sarcomer proteins, and virus particles

description: Our work focusses on biological nitrogen fixation by Nitrogenase, on metalloenzymes and integral membrane proteins of bacterial and archaeal respiratory systems (Andrade/Einsle/Wohlwend), the working mechanism and regulation of medically relevant membrane proteins and complexes and their defects leading to pathologies (Hunte), bacterial antibiotic resistance factors and viral and bacterial proteins bound to their targets or inhibitors, and their interactions with glycans (Stehle), human S100 proteins involved in nutritional immunity, USP18 enforcing the endogenous antiviral interferon response, and the respiratory complex NQR of V. cholerae (Fritz), LDL lipoprotein particles with low resolution data collection and phasing to find envelopes of parts of membrane proteins escaping conventional methods (Baumstark/Lunin), and on multi-domain components of the sarcomeric filamentous protein titin and their binding to the E3 ubiquitin ligase MuRF1 and the central myosin rod-domain (Mayans).
DOI: 10.15151/esrf-es-988988001
title: Single crystal XRD investigation of a critical point terminated phase boundary in solid oxygen

description: Our research proposal is to study the region of the phase diagram of oxygen extending between 8 and 50 GPa at room and low temperatures using the diamond anvil cell coupled to flux cryostats in order to clarify the open issues present in literature and to confirm and extend to low temperatures the results of our recent diffraction experiment at room temperature (Petra, I-20200536 EC). In particular we plan to investigate and verify the existence of a phase boundary within the region of the epsilon phase at low temperatures, separating the epsilon1 (made of O8 molecules=4XO2 molecules having spin 1) from the epsilon0 (made of O8 molecules=4XO2 molecules having spin 0) as it has been recently proposed by simulations. We have recently obtained in Petra the evidence of important structural changes in the epsilon phase at room temperature which might be the epsilon1 to epsilon0 transition and which needs to be confirmed and studied also at low temperatures.
DOI: 10.15151/esrf-es-940579238
title: Determining the Kinetics of Structural Changes During the Formation of Interpolyelectrolytes Complexes (IPECs) by Stopped-Flow SAXS Experime

description: The structural progression during the formation process of interpolyelectrolyte complexes (IPECs) is still poorly understood, despite the importance it bears for their properties. By stopped-flow SAXS experiments we will study formation and ageing processes taking place upon mixing the oppositely charged polyelectrolytes poly(diallyldimethylammonium chloride) (PDADMAC) and sodium polyacrylate (NaPA). In our experiments we will vary systematically the mixing ratio, the charge density of NaPA (by pH) and polyelectrolytes length/Mw, in order to see how these parameters control the structural evolution of the formed IPECs. In addition, we will study the effect of hydrophobic modification of NaPA by having increasingly higher contents of hydrophobic alkyl chains (dodecyl) in the PA. By doing so, we will gain a comprehensive understanding of the structure formation in such interpolyelectrolyte complexes (IPECs) and how the formed structures depend on the kinetics of formation.
DOI: 10.15151/esrf-es-940579897
title: Synthesis and single-crystal X-ray diffraction characterization of novel yttrium nitrides under high pressures up to 175 GPa

description: The high-pressure chemistry and physical properties of rare earth metal nitrides are almost unknown. We demonstrated that even at moderate compression (~50 GPa) yttrium and nitrogen form a novel compound, Y5N14, with a new structural type and with three differently charged [N2]x- dimers. Theoretical studies predict the formation of exotic yttrium polynitrides near 100 GPa. Here, we propose a single-crystal X-ray diffraction (SCXRD) study of the Y-N system at pressures up to 175 GPa at ID27. The aims of the proposed experiments are a synthesis of new Y-N compounds at multimegabar pressure, characterization of their crystal chemistry and compressional behavior, tests of theoretical predictions, and search for regularities in polynitrogen chemistry.
DOI: 10.15151/esrf-es-940580063
title: Fast scanning SAXS of living biological cells

description: We have recently employed hard X-ray scanning SAXS in a special fast scanning mode at ID13 to image hundreds of freeze-dried biological cells in a single scan, and have then transferred the method to fixed-hydrated cell, which was an important step towards more physiological conditions. In the proposed experiment, we suggest to now apply the method to living cells. We will fabricate special fluid chambers and investigate keratin-rich cells expressing particularly pronounced protein bundles, as a bench mark for studying such ordered structures.
DOI: 10.15151/esrf-es-940581793
title: Microplastic toxicity in an in vitro model of human placenta by X-Ray Micro- and Nano- Spectroscopy

description: The environment is contaminated with numerous pollutants, such as heavy metals, microplastics (MPs), perfluorinated organic compounds, and pesticides, which toxicity and harmful impacts on human health, also related with gestational life, presents a critical emerging area for research. To start investigating this, we propose model MPs, labeled with cadmium-selenide quantum dots to provide new data on cell-MPs accumulation and toxicity in a human placenta cell line (BeWo cells) taking advantages of synchrotron radiation X-ray elemental imaging, combine to light fluorescence microscopy. We apply for 12 shifts at ID21 and 9 shifts at ID16A.
DOI: 10.15151/esrf-es-972316045
title: Evolution of the head of early cartilaginous fishes

description: The evolution of the head, jaws, and pharynx of vertebrates has been an intense focus of study over the last two centuries due to its important functional role as well as its implications for the evolutionary success of Vertebrata. We propose to target this part of the skeleton in two early shark-like fishes which have played an iconic part in these studies: Cladoselache and Acanthodes. Synchrotron propagation phase contrast radiation microtomography (PPC-µCT) will allow us to visualize the three-dimensional structure of the head, jaws, and branchial arches in uniquely well preserved specimens, providing unprecedented detailed information on the anatomy of the head of two of the earliest cartilaginous fishes.
DOI: 10.15151/esrf-es-991832657
title: ihr

description: ihr
DOI: 10.15151/esrf-es-938664774
title: Bromine speciation as a new paleoenvironmental proxy

description: In paleoenvironmental archives such as peat and lake sediments, bromine (Br) generally show some correlation with organic matter (OM), but the relationship between Br and OM is not linear. The Br/OM ratio has been proposed as a proxy of the origin of historical primary productivity (macrophytes vs planktonic). We hypothesize that Br speciation could be a finer paleoenvironmental proxy. To test this hypothesis, a better understanding the cycling of Br in sediments and of chemical changes occurring during burial and sediment diagenesis are needed. This proposal is a continuation of exp EV373. We wish to complement our dataset of Br K-edge bulk HERFD-XANES spectra, with sediments at low Br content, and sources compartment.
DOI: 10.15151/esrf-es-937814984
title: A spatially resolved study by µ-XRF and µ-XANES spectroscopy at S K-, Cu K- and As K-edges to understand the degradation process of copper a

description: This proposal aims at deepening understanding the complex discoloration issue of emerald green and Scheele’s green paints (hereafter called “EM” and “SH”, respectively) affecting late 19th c.-early 20th c. oil paintings. µ-XRF mapping and µ-XANES spectroscopy at S K-, Cu K- and As K-edges will be exploited to perform a spatially resolved study of EM and SH oil paint systems before and after exposure to controlled conditions of light, humidity and temperature. Such analyses will permit to define how the pigment formulation, the binding medium and environmental agents trigger EM and SH degradation processes.
DOI: 10.15151/esrf-es-937816672
title: Particle size effect in cobalt-based CO2 hydrogenation - tailoring selectivity to methanation or rWGS activity

description: Cobalt-based COx hydrogenation catalysts have become increasingly interesting to the scientific community as reports throughout the last decade have shown it acts as a versatile catalyst for the synthesis of a multitude of chemicals, ranging from hydrocarbons and olefins in Fischer-Tropsch, to aromatics and oxygenates. Via surface organometallic chemistry, an approach effective for the synthesis of model catalysts, we synthesized Cobalt nanoparticles on SiO2 with tailored surfaces and interfaces to be used as a platform to study distinct catalyst features and their catalytic consequences in COx hydrogenation. We observed activity in CO2 hydrogenation with selectivity being highly dependent on particle size. This implies a pronounced particle size effect (PSE), leading to either a potent rWGS or methanation catalyst. By operando x-ray absorption spectroscopy, we hope to elucidate the origin of this PSE, to link our data to the differences particle size is methodologically tailored.
DOI: 10.15151/esrf-es-937821000
title: Tender X-ray HERFD-XANES studies to elucidate the deactivation of Pd/Al2O3 methane oxidation catalyst

description: By investigating the L3 edge of Pd the objectives of this study are: (1) to uncover the interaction of CH4 and H2O with Pd species under reaction conditions, and (2) reveal the structural particularities of Pd sites leading to the fast inhibition and long-term H2O-deactivation behaviour for Pd/Al2O3 methane oxidation catalyst. To the best of our knowledge, this will be the first in situ / operando study on Pd-based methane oxidation catalysts exploring the tender X-ray energy range.
DOI: 10.15151/esrf-es-935408931
title: Atomic-scale details of hydrogen reactions mechanisms

description: In the frame of the HERMES H2020 project, we aim at determining the thermodynamics and the kinetics of H adsorption, H absorption and H desorption processes (potential of insertion/de-insertion, value of x) onto Pd nanocrystallites (NC). The H loading was determined from electrochemical experiments performed at LEPMI and correlated in situ to lattice parameter expansion using wide-angle X-ray scattering measurements (in house beamtime at ID31). However, open questions remain regarding the mechanism and the kinetics of hydride nucleation (preferential sites for nucleation or homogeneous nucleation at the whole particle surface) and growth (sharp for alphat to beta phase transition or coexistence of two-phases).
DOI: 10.15151/esrf-es-976612652
title: Dynamics in hydrogenated metallic glasses and chalcogenide glasses

description: Dynamics at atomic length scales will be measured in hydrogenated metallic glasses and chalcogenide glasses around the structure factor peak using Wide-Angle X-ray Photon Correlation Spectroscopy as a function of temperature.
DOI: 10.6084/m9.figshare.21435252
title: walking speed dataset

description: We take some videos by UAV to extract walking speed at street scale, after conversion, we get three datasets, called "street", "flight speed" and "altitude". Here are complete dataset and computer code.