cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7623395
title: FALP Radiology Reports: Annotated corpus for distant metastasis detection

description: A critical task in oncology is extracting information related to cancer metastasis from electronic health records. Metastasis-related information is crucial for planning treatment, evaluating patient prognoses, and conducting cancer research. Unfortunately, findings of distant metastasis are written in radiology reports, often unstructured, making it difficult to extract relevant information automatically. In this study, we created a manually annotated clinical corpus using radiology reports of prostate, colorectal, and breast cancer patients. We developed a named entity recognition model to capture entities of distant metastasis. The entities were subsequently employed in automatically classifying the reports according to the presence or absence of metastasis. The NER model detected distant metastasis mentions with a weighted average F1 score performance of 0.84. Whole reports were finally classified with an F1 score of 0.92 for documents without distant metastasis (M0) and 0.90 for documents with distant metastasis (M1). These results show the model's usefulness in detecting distant metastasis entities in three different types of cancer and the consequent classification of reports. The manually annotated corpus (FALP Radiology Reports Corpus) and annotation guidelines are freely released to the research community. We are releasing the dataset in 2 formats: conll_files.zip: Contains the annotated corpus in IOB2 format. This corpus is separated into train, text, and development subsets. text_ann_files.zip: Contains the raw text files for each document along with its annotation file in Standoff format Annotation guidelines can be found in: Ricardo Ahumada, Pablo Báez, Gisselle Caamaño, Jocelyn Garay, & Inti Paredes. (2023). Annotation Guidelines for FALP radiology reports annotated corpus for distant metastasis detection (1.1). Zenodo. https://doi.org/10.5281/zenodo.7623509 This work is licensed under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-sa/4.0/.
DOI: 10.26179/mys4-4n30
title: Vanderford Glacier Observations 1984
DOI: 10.34740/kaggle/dsv/6612653
title: Our World in Data - COVID-19
DOI: 10.6084/m9.figshare.24165963
title: Microscopy analyses of Atg8 conjugation machinery

description: Microscopy dataset for the investigation of the membrane morphological changes induced by the Atg8 conjugation machinery and the interactions between proteins within this machinery on the membrane. The raw data are in the Olympus format and can be accessed using Olympus software or other suitable software. Please refer to the paper for additional details on the data.
DOI: 10.6084/m9.figshare.24165963.v1
title: Microscopy analyses of Atg8 conjugation machinery

description: Microscopy dataset for the investigation of the membrane morphological changes induced by the Atg8 conjugation machinery and the interactions between proteins within this machinery on the membrane. The raw data are in the Olympus format and can be accessed using Olympus software or other suitable software. Please refer to the paper for additional details on the data.
DOI: 10.25919/e6b5-qb42
title: Parkes observations for project P1162 semester 2023APRS_13

description: Pulsar timing is a powerful tool in studying pulsar physics. Discovering more exotic pulsar systems or timing pulsars with higher precision is an essential part of pulsar astronomy. As a recently discovered millisecond pulsar, PSR J1402+13 is an interesting source for follow-up timing observations. First, its apparent spin-down rate is the highest among known millisecond pulsars. This spin-down rate, if confirmed, will place stringent constraints on the spin-up process predicted by pulsar recycling theories. Second, and more importantly, preliminary analysis shows that J1402+13 is a very promising candidate for pulsar timing arrays, with an achievable precision at the level of 6 nanoseconds for 60 minutes observation with Parkes. We have observed J1402+13 for 8 times in the past two months and propose to continue the observations in the coming semester. We apply for another 14 hours to observe the pulsar to extend the timing baseline to one year. This project will derive an ephemeris of the system, which is valuable to understand its formation and evolution history. Furthermore, the observations will allow us to evaluate the timing performance of J1402+13 and its suitability to be included in pulsar timing arrays.
DOI: 10.5281/zenodo.8408972
title: Meaning in Life and Spirituality of Emerging Adults in the Philippines

description: Meaning in life and Spiritual Experience
DOI: 10.5281/zenodo.8408971
title: Meaning in Life and Spirituality of Emerging Adults in the Philippines

description: Meaning in life and Spiritual Experience
DOI: 10.18112/openneuro.ds004078.v1.2.0
title: A synchronized multimodal neuroimaging dataset to study brain language processing
DOI: 10.26179/mtrg-dk59
title: Sastrugi Observations in Wilkes Land, 1984
DOI: 10.5281/zenodo.8394475
title: Eddy Covariance and Agronomical Meta Data Set from a Two Year Agroecosystem Site (RNG5)

description: Dataset of soil, plant, forage, agronomical and eddy flux data from two years of commercial bioenergy feedstock production in Arkansas funded under the DOE ARPA-E SMARTFARM program in Phase I. Data set is provided to restricted users only. Data sets include 2 years of all 30 minute interval data. Full data sets will be published through Ameriflux at https://ameriflux.lbl.gov/ starting August 12, 2022, with annual updates thereafter. Some data, such as methane and nitrous oxide are embargoed. This work was funded through the U.S. Department of Energy, ARPA-E, under Cooperative Agreement DE-AR0001228 led by ARVA Intelligence Corp. (https://www.arvaintelligence.com) in collaboration with Lawrence Berkeley National Laboratory (LBNL).
DOI: 10.6084/m9.figshare.24241690
title: Automatic Identification

description: This link contains the raw data, which includes 35 environmental reports for construction and demolition waste landfills, data information for 231 landfills, and 360 raw images of construction and demolition waste landfills used for the experiments and the corresponding labels.
DOI: 10.6084/m9.figshare.24241690.v3
title: Automatic Identification

description: This link contains the raw data, which includes 35 environmental reports for construction and demolition waste landfills, data information for 231 landfills, and 360 raw images of construction and demolition waste landfills used for the experiments and the corresponding labels.
DOI: 10.6084/m9.figshare.24241690.v2
title: Automatic Identification of Illegal Construction and Demolition Waste Landfills: A Computer Vision Approach

description: This link contains the raw data, which includes 35 environmental reports for construction and demolition waste landfills, data information for 231 landfills, and 360 raw images of construction and demolition waste landfills used for the experiments and the corresponding labels.
DOI: 10.5281/zenodo.8401378
title: Deep Learning-based 3D single-cell imaging analysis pipeline for quantifying cell-cell interaction dynamics in the tumor microenvironment

description: These are 3D live-cell imaging datasets of gastric tumor organoids in co-culture with primary human Natural Killer (NK) cells. The datasets were analyzed by a new, deep learning-based 3D image analysis software tool, SiQ-3D, which we developed and presented in the paper titled "Deep Learning-based 3D single-cell imaging analysis pipeline for quantifying cell-cell interaction dynamics in the tumor microenvironment". Interested users can download the SiQ-3D software code from GitHub (https://github.com/simonlbd1/SiQ-3D) or Code Ocean (https://codeocean.com/capsule/6676007/tree/v2), analyze the 3D image datasets locally, and cross-check the results with the SiQ-3D quantified results that we provided here.
DOI: 10.5281/zenodo.8401377
title: Deep Learning-based 3D single-cell imaging analysis pipeline for quantifying cell-cell interaction dynamics in the tumor microenvironment

description: These are 3D live-cell imaging datasets of gastric tumor organoids in co-culture with primary human Natural Killer (NK) cells. The datasets were analyzed by a new, deep learning-based 3D image analysis software tool, SiQ-3D, which we developed and presented in the paper titled "Deep Learning-based 3D single-cell imaging analysis pipeline for quantifying cell-cell interaction dynamics in the tumor microenvironment". Interested users can download the SiQ-3D software code from GitHub (https://github.com/simonlbd1/SiQ-3D) or Code Ocean (https://codeocean.com/capsule/6676007/tree/v2), analyze the 3D image datasets locally, and cross-check the results with the SiQ-3D quantified results that we provided here.
DOI: 10.6084/m9.figshare.24247987.v1
title: Data avilability.docx

description: <b>Fischer's ratio and DNA damage in hypoxia-induced brain injury in rats: Prophylactic role of Quercetin and </b><b>Melatonin</b><b> supplementation</b><b>The current study linked inflammatory mediators as (CRP, IL-6 and TNF-alpha), DNA damage biomarkers, neurotransmitters as (GABA, serotonin, Dopamine, Noradrenaline) and Fischer's ratio (BCAA/AAAs) to brain induced hypoxia via sodium nitrite that bind to hemoglobin and form methemoglobin and reduce oxygen affinity to hemoglobin.</b>
DOI: 10.6084/m9.figshare.24247987
title: Data avilability.docx

description: <b>Fischer's ratio and DNA damage in hypoxia-induced brain injury in rats: Prophylactic role of Quercetin and </b><b>Melatonin</b><b> supplementation</b><b>The current study linked inflammatory mediators as (CRP, IL-6 and TNF-alpha), DNA damage biomarkers, neurotransmitters as (GABA, serotonin, Dopamine, Noradrenaline) and Fischer's ratio (BCAA/AAAs) to brain induced hypoxia via sodium nitrite that bind to hemoglobin and form methemoglobin and reduce oxygen affinity to hemoglobin.</b>
DOI: 10.6084/m9.figshare.24248137
title: scopus fix_digital marketing.xlsx

description: This study conducts a bibliometric analysis of digital marketing literature in small and medium enterprises (SMEs) over the past two decades, using 295 documents from the Scopus database and employing VOSviewer and RStudio with "biblioshiny." It explores co-authorship, co-occurrence, and co-citation patterns to reveal collaborative networks, research focus, and influential works in this domain. The findings offer valuable insights for future research on SME digital marketing, aiding future studies and informing SME marketing strategies. They also emphasize the critical role of digital transformation and technology integration in SME growth. The study's scope is limited to Scopus research publications, yet it enhances comprehension of research developments and future directions in SME-focused digital marketing. This paper stands out due to its unique combination of SME digital marketing focus and bibliometric mapping methodology. By conducting such analysis, it offers a systematic, data-driven approach to identify key trends and research areas in SME digital marketing, enabling a comprehensive assessment of existing literature and spotlighting noteworthy topics and potential research gaps.<br>
DOI: 10.25345/c5pn8xr7q
title: MassIVE MSV000093044 - Proteome analysis of epithelial-mesenchymal transition extracellular vesicles: exosomes, microparticles and shed midbody remnants
title: Cell-derived extracellular vesicles (EVs) are evolutionary-conserved secretory organelles that, based on their molecular composition, are important intercellular signaling regulators. At least three classes of circulating EVs are known based on mechanism of biogenesis: exosomes (sEVs/Exos), microparticles (lEVs/MPs) and shed midbody remnants (lEVs/sMB-Rs). Here we conducted large-scale purification of exosomes, MPs and sMBRs isolated from MDCK and 21D1 cells, and performed comprehensive proteomics analysis to differentiate these EV subtypes. Findings from this study suggests that sMBRs may hold crucial clues to the regulation of EMT and the involvement of different subtypes of EVs based on their dynamic proteome landscape in this process.
DOI: 10.5517/ccdc.csd.cc2fyq6b
title: CCDC 2262882: Experimental Crystal Structure Determination

description: Related Article: Jian-Hong Liao, Rhone P. Brocha Silalahi, Tzu-Hao Chiu, C. W. Liu|2023|ACS Omega|8|31541|doi:10.1021/acsomega.3c04758
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.cc2gfz85
title: CCDC 2277547: Experimental Crystal Structure Determination

description: Related Article: Małgorzata Bołt, Aleksandra Mermela, Patrycja Żak|2023|Chem.Commun.|59|11548|doi:10.1039/D3CC03404F
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.cc2g73hb
title: CCDC 2270951: Experimental Crystal Structure Determination

description: Related Article: Gucheng He|2023|CSD Communication|||
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: 10.25919/2fwz-a608
title: Parkes observations for project P1165 semester 2023APRS_08

description: We carried out a pilot FAST survey at intermediate Galactic latitudes and discovered five new pulsars (including two millisecond pulsars, MSPs). We confirmed all five pulsars and timed two pulsars (J1826-0049 and J1849+1000) during the 2022OCTS semester. A coherent timing solution was obtained for J1826-0049 (4.59 ms) and it is in a 6.7-day orbit with a white dwarf companion. The other pulsar, J1849+1000, turned out to be potentially exotic. While its large spin period variation can be fitted by a 26-day circular orbit with a massive companion, the residuals show strong quasi-periodic variations, which suggest the existence of a third object in an inner orbit. If confirmed, J1849+1000 will be in a stellar triple system with an outer orbit of 26 days and an inner orbit of a few days. This makes it potentially a unique system for tests of gravitational theories and understanding the formation and evolution of triple systems. Here we propose to continue our timing of J1826-0049 and J1849+1000. The goal is to refine our measurement of the parameters of J1826-0049 and understand the nature of J1849+1000
DOI: 10.6084/m9.figshare.22644295
title: Zhao, M., & Abeysekera, I. (2023). Board Diversity and Intellectual Capital Disclosure of Chinese listed firms with Belt and Road Initiative projects. https://doi.org/10.6084/m9.figshare.22644295

description: The information contained relates to the journal paper titled Board Diversity and Intellectual Capital Disclosure of Chinese Listed Firms with Belt and Road Initiative Projects (https://doi.org 10.1108/JIC-10-2022-0209)
DOI: 10.26179/g88q-9b30
title: Upper Air Soundings in Wilkes Land, 1984
DOI: 10.34820/fk2/ab4fk7/hrz3lr
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DOI: 10.34820/fk2/ab4fk7/u6losz
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DOI: 10.34820/fk2/ab4fk7/9h79ld
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DOI: 10.34820/fk2/ab4fk7/hg5hfx
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DOI: 10.34820/fk2/ab4fk7/hzufpt
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DOI: 10.34820/fk2/ab4fk7/qlc9w8
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DOI: 10.34820/fk2/ab4fk7/m7u61y
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DOI: 10.34820/fk2/ab4fk7/ptdkhm
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DOI: 10.34820/fk2/ab4fk7/czwl3b
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DOI: 10.34820/fk2/ab4fk7/mljmcs
title: datagambar1687443015906695689.jpg

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DOI: 10.34820/fk2/ab4fk7/bvn9i9
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DOI: 10.34820/fk2/ab4fk7/qt2gck
title: datagambar1687443015743692325.jpg

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DOI: 10.34820/fk2/kqx7bx/aytolb
title: Val.rar

description: Validation dataset
DOI: 10.34820/fk2/ab4fk7/nsx9wm
title: datagambar1687443015907679991.jpg

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DOI: 10.34820/fk2/kqx7bx/r1v6hz
title: alldata.rar

description: All dataset
DOI: 10.34820/fk2/ab4fk7/290pr8
title: datagambar1687443015761677364.jpg

description: :unav
DOI: 10.34820/fk2/ab4fk7/wxzqfx
title: datagambar1687443015796677800.jpg

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DOI: 10.34820/fk2/kqx7bx/atz31k
title: Train.rar

description: Train dataset
DOI: 10.34820/fk2/kqx7bx/2ycecr
title: Test.rar

description: Test dataset
DOI: 10.34820/fk2/ab4fk7/7n2zd2
title: datagambar1687443015928677231.jpg

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DOI: 10.34820/fk2/kqx7bx
title: Detection of Kids Handwriting For Numbers With Convolutional Neural Network Algorithm

description: This dataset was used to train and build a model that used to build the Drawing Apps For Kids web app. This dataset was compiled as two-dimensional graphics of the numbers 0 to 9 that were manually written using the Paint program. Each data class's 200 images have a varied resolution, making up a total of 2000 images in the collected datan umum penelitian
DOI: 10.34820/fk2/ab4fk7/sac6qu
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