cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc26ptrh
title: CCDC 2046767: Experimental Crystal Structure Determination

description: Related Article: Zhixiang Zhao, Xingjun Han, Kun Liu, Lixuan Zhao, Qingxiang Liu|2022|Organometallics|41|2394|doi:10.1021/acs.organomet.2c00178
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.cc26ptsj
title: CCDC 2046768: Experimental Crystal Structure Determination

description: Related Article: Zhixiang Zhao, Xingjun Han, Kun Liu, Lixuan Zhao, Qingxiang Liu|2022|Organometallics|41|2394|doi:10.1021/acs.organomet.2c00178
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.cc26pttk
title: CCDC 2046769: Experimental Crystal Structure Determination

description: Related Article: Zhixiang Zhao, Xingjun Han, Kun Liu, Lixuan Zhao, Qingxiang Liu|2022|Organometallics|41|2394|doi:10.1021/acs.organomet.2c00178
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: 10.6084/m9.figshare.6741425.v16
title: COCI N-Triples dataset of all the citation data

description: This dataset contains all the citation data (in N-Triples format) included in COCI, released on 31 August 2022. In particular, any citation in the dataset, defined as an individual of the class <em>cito:Citation</em>, includes the following information: <strong>[citation IRI]</strong> the Open Citation Identifier (OCI) for the citation, defined in the final part of the URL identifying the citation (https://w3id.org/oc/index/coci/ci/[OCI]); <strong>[property "cito:hasCitingEntity"]</strong> the citing entity identified by its DOI URL (http://dx.doi.org/[DOI]); <strong>[property "cito:hasCitedEntity"]</strong> the cited entity identified by its DOI URL (http://dx.doi.org/[DOI]); <strong>[property "cito:hasCitationCreationDate"]</strong> the creation date of the citation (i.e. the publication date of the citing entity); <strong>[property "cito:hasCitationTimeSpan"]</strong> the time span of the citation (i.e. the interval between the publication date of the cited entity and the publication date of the citing entity); <strong>[type "cito:JournalSelfCitation"]</strong> it records whether the citation is a journal self-citations (i.e. the citing and the cited entities are published in the same journal); <strong>[type "cito:AuthorSelfCitation"]</strong> it records whether the citation is an author self-citation (i.e. the citing and the cited entities have at least one author in common). This version of the dataset contains: 1,363,718,366 citations; 75,030,924 bibliographic resources. The size of the zipped archive is 67.64 GB, while the size of the unzipped N-Triples file is 1.46 TB. <br> Additional information about COCI can be retrieved in the <sub>official webpage</sub>.<br>
DOI: 10.5285/0d88dc06fd514e8199cdd653f00a7be0
title: ACRUISE: deep-learning inferred shiptrack clouds from AQUA MODIS daylight satellite data for 2002-2021

description: Large dataset of emission induced "shiptrack" clouds, detected using deep-learning, from satellite based remote sensing data with global coverage, from 2002 to 2021 for the Atmospheric Composition and Radiative forcing changes due to UN International Ship Emissions regulations (ACRUISE) project. Shiptracks were inferred from every daylight granule captured by the MODerate Imaging Spectroradiometer (MODIS) instrument, onboard the NOAA-AQUA satellite from 2002-2021 inclusive and stored in a compressed netcdf file. In addition, polygons corresponding to contours of level 0.5 and 0.8 from the inference images are provided as a light-weight alternative. These are stored in annual geopackages in the geographic projection. The model is a standard neural-network based segmentation model with a UNet architecture, a resnet-152 backbone and sigmoid activation on the final layer that was pre-trained on the 2012 ImageNet Large Scale Visual Recognition Challenge 2012 (ILSVRC2012) ImageNet dataset. This model was trained to segment clouds formed by ship exhausts, known as shiptracks, from MODIS level 1b, day microphysics composite granules enhanced through histogram stretching. The purpose of these data is to measure the effect that shipping fuel regulation has on climate change and to reduce the uncertainty in the relationship between aerosols and cloud formation and properties. This allows the determination of where tracks are more likely to form and the sensitivity of clouds to such perturbations.The data indicate a sharp reduction in tracks due to the more stringent ship emission regulations since 2020. A small minority of granules (&lt;0.5%) are missing due to a combination of missing or corrupt files and/or unexpected computational processing failures. These remained unresolved as they were judged insignificant compared to model uncertainties and and of negligible additional benefit to warrant the overheads to resolve each missing granule.
DOI: 10.5281/zenodo.7044970
title: Urine NMR metabolomics for precision oncology in colorectal cancer

description: Tables summarizing the data used for the review. Up to 7 tables, and a list of the included studies is provided.
DOI: 10.5281/zenodo.7085948
title: S.aureus in NLRP1 inflammasome activation in AD_Online Supporting information

description: Full list of genes that gave PP4 &gt; 0.8 in the L. Paternoster et al and UK biobank dataset and the corresponding eQTL dataset. PP-posterior probability of colocalization, abf-analysis using Bayes Factors , nsnps- number of significant eQTL associations.
DOI: 10.5281/zenodo.7085947
title: S.aureus in NLRP1 inflammasome activation in AD_Online Supporting information

description: Full list of genes that gave PP4 &gt; 0.8 in the L. Paternoster et al and UK biobank dataset and the corresponding eQTL dataset. PP-posterior probability of colocalization, abf-analysis using Bayes Factors , nsnps- number of significant eQTL associations.
DOI: 10.5281/zenodo.7085981
title: Appendix to "Microvariation in agreement inflection. Subject clitics vs inflection" (Pescarini 2022)

description: Appendix to my 2022 paper. Primary data source: Manzini & Savoia 2005. Coding and errors are mine.
DOI: 10.5281/zenodo.7085980
title: Appendix to "Microvariation in agreement inflection. Subject clitics vs inflection" (Pescarini 2022)

description: Appendix to my 2022 paper. Primary data source: Manzini & Savoia 2005. Coding and errors are mine.
DOI: 10.6084/m9.figshare.15170853
title: RD Dataset

description: ** RD DATASET ** RD dataset was created by the images from the melanoma community on the internet (<sub>https://reddit.com/r/melanoma</sub>). Consecutive images were included using a python library (<sub>https://github.com/aliparlakci/bulk-downloader-for-reddit</sub>) from Jan 25, 2020, to July 30, 2021. The ground truth was voted by four dermatologists and one plastic surgeon while referring to the chief complaint and brief history. A total of 1,282 images (1,201 cases) were finally included. Because of the deleted cases by users, the links of 860 cases are valid in July 2021. <br> 1. RD_RAW.xlsx The download links and ground truth of the RD dataset are included in this excel file. In addition, the raw data of the AI (Model Dermatology Build2021 - https://modelderm.com) and 32 laypersons were included. <br> 2. v1_public.zip "v1_public.zip" includes the 1,282 lesional images (full-size). The 24 images that were excluded from the study are also available. <br> 3. v1_private.zip is not available here. Wide field images are not available here. If the archive is needed for research purpose, please email to Dr. Han Seung Seog (whria78@gmail.com) or Dr Cristian Navarrete-Dechent (ctnavarr@gmail.com). <br> References - The Degradation of Performance of a State-of-the-art Skin Image Classifier When Applied to Patient-driven Internet Search - Scientific Report (in-press) <br> <br> ** Background normal test with the ISIC images ** ISIC dataset (<sub>https://www.isic-archive.com</sub>; Gallery -&gt; 2018 JID Editorial images; 99 images; ISIC_0024262 and ISIC_0024261 are identical images and ISIC_0024262 was skipped) was used for the background normal test. We defined 10% area rectangle crop to “specialist-size crop”, and 5% area rectangle crop to “layperson-size crop” a) S-crops.zip: specialist-size crops<br> Format: CROPNO_AGE(0~99)_GENDER(1=male,0=female)[m]_FILENAME.png b) L-crops.zip: layperson-size crops<br> Format: CROPNO_AGE(0~99)_GENDER(1=male,0=female)[m]_FILENAME.png c) result_S.zip: Background normal test result using the specialist-size crops<br> d) result_L.zip; Background normal test result using the layperson-size crops <br> Reference - Automated Dermatological Diagnosis: Hype or Reality? - https://doi.org/10.1016/j.jid.2018.04.040 - Multiclass Artificial Intelligence in Dermatology: Progress but Still Room for Improvement - https://doi.org/10.1016/j.jid.2020.06.040
DOI: 10.6084/m9.figshare.15170853.v4
title: RD Dataset

description: ** RD DATASET ** RD dataset was created by the images from the melanoma community on the internet (<sub>https://reddit.com/r/melanoma</sub>). Consecutive images were included using a python library (<sub>https://github.com/aliparlakci/bulk-downloader-for-reddit</sub>) from Jan 25, 2020, to July 30, 2021. The ground truth was voted by four dermatologists and one plastic surgeon while referring to the chief complaint and brief history. A total of 1,282 images (1,201 cases) were finally included. Because of the deleted cases by users, the links of 860 cases are valid in July 2021. <br> 1. RD_RAW.xlsx The download links and ground truth of the RD dataset are included in this excel file. In addition, the raw data of the AI (Model Dermatology Build2021 - https://modelderm.com) and 32 laypersons were included. <br> 2. RD_LesionalCrops.zip RD_LesionalCrops.zip includes the 1,282 lesional images (full-size). The 24 images excluded from the study are also available. <br> 3. RD_WideField.zip is not available here. If the full archive is needed for research purpose, please email to Dr. Han Seung Seog (whria78@gmail.com) or Dr Cristian Navarrete-Dechent (ctnavarr@gmail.com). <br> References - The Degradation of Performance of a State-of-the-art Skin Image Classifier When Applied to Patient-driven Internet Search - Scientific Report (in-press) <br> <br> ** Background normal test with the ISIC images ** ISIC dataset (<sub>https://www.isic-archive.com</sub>; Gallery -&gt; 2018 JID Editorial images; 99 images; ISIC_0024262 and ISIC_0024261 are identical images and ISIC_0024262 was skipped) was used for the background normal test. We defined 10% area rectangle crop to “specialist-size crop”, and 5% area rectangle crop to “layperson-size crop” a) S-crops.zip: specialist-size crops<br> Format: CROPNO_AGE(0~99)_GENDER(1=male,0=female)[m]_FILENAME.png b) L-crops.zip: layperson-size crops<br> Format: CROPNO_AGE(0~99)_GENDER(1=male,0=female)[m]_FILENAME.png c) result_S.zip: Background normal test result using the specialist-size crops<br> d) result_L.zip; Background normal test result using the layperson-size crops <br> Reference - Automated Dermatological Diagnosis: Hype or Reality? - https://doi.org/10.1016/j.jid.2018.04.040 - Multiclass Artificial Intelligence in Dermatology: Progress but Still Room for Improvement - https://doi.org/10.1016/j.jid.2020.06.040
DOI: 10.6084/m9.figshare.11663574.v13
title: COCI Scholix dataset of all the citation data

description: This dataset contains all the citation data (in Scholix format) included in COCI, released on 31 August 2022. <br> This version of the dataset contains: 1,363,718,366 citations; 75,030,924 bibliographic resources. The size of the zipped archive is 36.13 GB, while the size of the unzipped Scholix file is 1.21 TB. Additional information about COCI can be retrieved in the <sub>official webpage</sub>.<br>
DOI: 10.5281/zenodo.5221763
title: Complementary dataset of the paper "The viewing angle in AGN SED models, a data-driven analysis"

description: In this repository, you can find the SED data from the X-CIGALE estimates from the article: "The viewing angle in AGN SED models: a data-driven analysis"
DOI: 10.5281/zenodo.5221764
title: Complementary dataset of the paper "The viewing angle in AGN SED models, a data-driven analysis"

description: In this repository, you can find the SED data from the X-CIGALE estimates from the article: "The viewing angle in AGN SED models: a data-driven analysis"
DOI: 10.5281/zenodo.7086011
title: Water isotopic composition (Oxygen-18 and Deuterium) from the EPICA Dome C ice core at 11 cm resolution

description: This manuscript presents a compilation of high resolution (11 cm) water isotopic records including published and new measurements over the last 800 000 years on the EPICA Dome C ice core, Antarctica. Using this new water isotopes (δ18O and δD) combined dataset, we study the variability and possible influence of diffusion at multi-decadal to multi-centennial scale. We observe a stronger variability on the onset of the interglacial interval corresponding to a warm period.
DOI: 10.5281/zenodo.7084057
title: Resource bundle for somatic-conda (hg19)

description: Resource bundle for the use of somatic-conda workflow (including hg19 only).
DOI: 10.5281/zenodo.7084056
title: Resource bundle for somatic-conda (hg19)

description: Resource bundle for the use of somatic-conda workflow (including hg19 only).
DOI: 10.6084/m9.figshare.20280429
title: Data for "The formation of deep convection is likely dominated by cloud microphysics in mixed-phase layer"

description: In a manuscript entitled " <strong>The formation of deep convection is likely dominated by cloud microphysics in mixed-phase layer</strong> ". The data of our results are including in the Data_for_Fig_x.fig. These files can be opened by MATLAB R2020b(or later). The data supports the aforementioned manuscript and can be used freely for scientific purposes with appropriate citation.
DOI: 10.6084/m9.figshare.20280429.v3
title: Data for "The formation of deep convection is likely dominated by cloud microphysics in mixed-phase layer"

description: In a manuscript entitled " <strong>The formation of deep convection is likely dominated by cloud microphysics in mixed-phase layer</strong> ". The data of our results are including in the Data_for_Fig_x.fig. These files can be opened by MATLAB R2020b(or later). The data supports the aforementioned manuscript and can be used freely for scientific purposes with appropriate citation.
DOI: 10.6084/m9.figshare.20280429.v2
title: Data for "Using polarimetric radar observation to characterize dynamics and microphysics in formation of the deep convection"

description: In a manuscript entitled " <strong>Using polarimetric radar observation to characterize dynamics and microphysics in formation of the deep convection</strong>". The data of our results are including in the Data_for_Fig_x.fig. These files can be opened by MATLAB R2020b(or later). The data supports the aforementioned manuscript and can be used freely for scientific purposes with appropriate citation.
DOI: 10.34740/kaggle/dsv/4212250
title: COVID Vaccination in World (updated daily)
DOI: 10.5281/zenodo.7037356
title: Data from: Global drivers of variation in cup nest size in passerine birds

description: Dataset contains measurements of passerine cup nests from museum specimens and literature together with life-history, environmental and biogeographical factors pertaining to each species (<em>n</em> = 1,451 records; <em>n</em> = 1,117 species).
DOI: 10.5281/zenodo.7037355
title: Data from: Global drivers of variation in cup nest size in passerine birds

description: Dataset contains measurements of passerine cup nests from museum specimens and literature together with life-history, environmental and biogeographical factors pertaining to each species (<em>n</em> = 1,451 records; <em>n</em> = 1,117 species).
DOI: 10.5281/zenodo.7086049
title: a test dataset

description: a test
DOI: 10.5281/zenodo.7086048
title: a test dataset

description: a test
DOI: 10.5255/ukda-sn-855901
title: Baseline Evaluation of Aarambha Project: Cohort III, 2021

description: The Aarambha Project, Cohort III baseline evaluation adopted a pre-post test research design to measure changes that can be attributed to the project interventions. The evaluation was guided by the longitudinal mixed-method approach, comprising quantitative and qualitative data collection techniques. The quantitative data was collected via a girls' survey among 400 sampled out-of-school girls along with the ASER test. Moreover, a household survey was also conducted among the families of the same group of girls. The qualitative data was collected comprised of Focus Group Discussion (FGD) and Key Informant Interview (KII) with various stakeholders. Observation of the CLCs and the community the girls lived in were also observed.
DOI: 10.18434/mds2-2581
title: High Energy Arcing Fault (HEAF) Experiments - Medium Voltage Electrical Enclosures - Video
DOI: 10.18120/zdvp-wr34
title: Spinal Cord Stimulation
DOI: 10.5255/ukda-sn-855953
title: Transcripts From Semi-Structured Interviews Conducted for a Situational Analysis, 2020

description: To understand the impact of COVID-19 on the implementation of the peer education programme of the National Adolescent Health Programme-Rashtriya Kishor Swasthya Karyakram (RKSK); repurposing of the RKSK health workers and Peer Educators (PEs) in COVID-19 response activities and effect on adolescents´ health and development issues. Virtual in-depth interviews were conducted with stakeholders (n=31) (aged 15 to 54 years) engaged in the implementation of the RKSK and peer education programme at state, district, block, and village levels in Madhya Pradesh and Maharashtra (India). These interviews were thematically coded and analysed to address the research objectives. Despite most peer education programme activities being stopped, delayed, or disrupted during the pandemic and subsequent lockdown, some communication networks previously established, helped facilitate public health communication regarding COVID-19 and RKSK, between health workers, PEs, and adolescents. There was repurposing of RKSK health workers and PEs’ role towards COVID-19 response-related activities. PEs, with support from health workers, were involved in disseminating COVID-19 information, maintaining migrant and quarantine records, conducting household surveys for recording COVID-19 active cases and providing essential items (grocery, sanitary napkins, etc.) to communities and adolescents.
DOI: 10.6084/m9.figshare.21132331
title: enypniastes_eximia_zanfona_1.fasta.gz

description: ......
DOI: 10.6084/m9.figshare.21132331.v1
title: enypniastes_eximia_zanfona_1.fasta.gz

description: ......
DOI: 10.5517/ccdc.csd.cc25t3lq
title: CCDC 2020133: Experimental Crystal Structure Determination

description: Related Article: Akane Suzuki, Xueying Guo, Zhenyang Lin, Makoto Yamashita|2021|Chemical Science|12|917|doi:10.1039/D0SC05478J
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.cc25t3mr
title: CCDC 2020134: Experimental Crystal Structure Determination

description: Related Article: Akane Suzuki, Xueying Guo, Zhenyang Lin, Makoto Yamashita|2021|Chemical Science|12|917|doi:10.1039/D0SC05478J
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.cc25rk6q
title: CCDC 2018633: Experimental Crystal Structure Determination

description: Related Article: Jordan W. Taylor, W. Hill Harman|2020|Chem.Commun.|56|13804|doi:10.1039/D0CC05261B
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.cc25t3pt
title: CCDC 2020136: Experimental Crystal Structure Determination

description: Related Article: Akane Suzuki, Xueying Guo, Zhenyang Lin, Makoto Yamashita|2021|Chemical Science|12|917|doi:10.1039/D0SC05478J
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.cc25t3qv
title: CCDC 2020137: Experimental Crystal Structure Determination

description: Related Article: Akane Suzuki, Xueying Guo, Zhenyang Lin, Makoto Yamashita|2021|Chemical Science|12|917|doi:10.1039/D0SC05478J
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.cc25t3sx
title: CCDC 2020139: Experimental Crystal Structure Determination

description: Related Article: Akane Suzuki, Xueying Guo, Zhenyang Lin, Makoto Yamashita|2021|Chemical Science|12|917|doi:10.1039/D0SC05478J
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.cc25t3vz
title: CCDC 2020141: Experimental Crystal Structure Determination

description: Related Article: Akane Suzuki, Xueying Guo, Zhenyang Lin, Makoto Yamashita|2021|Chemical Science|12|917|doi:10.1039/D0SC05478J
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.