cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc286sr1
title: CCDC 2091903: Experimental Crystal Structure Determination

description: Related Article: Dominik Raiser, Klaus Eichele, Hartmut Schubert, Lars Wesemann|2021|Chem.-Eur.J.|27|14073|doi:10.1002/chem.202102320
DOI: 10.5517/ccdc.csd.cc286ss2
title: CCDC 2091904: Experimental Crystal Structure Determination

description: Related Article: Dominik Raiser, Klaus Eichele, Hartmut Schubert, Lars Wesemann|2021|Chem.-Eur.J.|27|14073|doi:10.1002/chem.202102320
DOI: 10.5517/ccdc.csd.cc286st3
title: CCDC 2091905: Experimental Crystal Structure Determination

description: Related Article: Dominik Raiser, Klaus Eichele, Hartmut Schubert, Lars Wesemann|2021|Chem.-Eur.J.|27|14073|doi:10.1002/chem.202102320
DOI: 10.5517/ccdc.csd.cc286sv4
title: CCDC 2091906: Experimental Crystal Structure Determination

description: Related Article: Dominik Raiser, Klaus Eichele, Hartmut Schubert, Lars Wesemann|2021|Chem.-Eur.J.|27|14073|doi:10.1002/chem.202102320
DOI: 10.5517/ccdc.csd.cc286sw5
title: CCDC 2091907: Experimental Crystal Structure Determination

description: Related Article: Dominik Raiser, Klaus Eichele, Hartmut Schubert, Lars Wesemann|2021|Chem.-Eur.J.|27|14073|doi:10.1002/chem.202102320
DOI: 10.5517/ccdc.csd.cc286sx6
title: CCDC 2091908: Experimental Crystal Structure Determination

description: Related Article: Dominik Raiser, Klaus Eichele, Hartmut Schubert, Lars Wesemann|2021|Chem.-Eur.J.|27|14073|doi:10.1002/chem.202102320
DOI: 10.5517/ccdc.csd.cc286tht
title: CCDC 2091926: Experimental Crystal Structure Determination

description: Related Article: Dominik Raiser, Klaus Eichele, Hartmut Schubert, Lars Wesemann|2021|Chem.-Eur.J.|27|14073|doi:10.1002/chem.202102320
DOI: 10.5281/zenodo.5571927
title: The nebular spectra of SN 2012aw and constraints on stellar nucleosynthesis from oxygen emission lines

description: Spectral models of M_ZAMS = 12, 15, 19, 25 Msun progenitors, all epochs.
DOI: 10.5281/zenodo.5571926
title: The nebular spectra of SN 2012aw and constraints on stellar nucleosynthesis from oxygen emission lines

description: Spectral models of M_ZAMS = 12, 15, 19, 25 Msun progenitors, all epochs.
DOI: 10.25721/y8ef-gx38
title: Eglise Saint Nicolas. Suite du sermon enregistré sur la bande magnétique MUS1967.70.53
DOI: 10.7294/16624672
title: Labeled Cracks in the Wild (LCW) Dataset

description: Labeled Cracks in the Wild (LCW) is a dataset which comprises of real images taken from Virginia Department of Transportation (VDOT) structural inspection reports. This dataset focuses on cracks in the global scene rather than zoomed-in concrete patch. The cracks for LCW were annotated using the GIMP software (The GIMP Development Team, 2019). The guidelines for the annotations are provided by the authors in the file folder. There are a total of 3,817 finely annotated images. The images were split into training and testing, 90% and 10% respectfully. The images were resized to 512x512 for training and testing the DeeplabV3+ model. The original and resized images are included. After training with the DeeplabV3+ model (DOI: 10.7294/16628707), we were able to correctly identify approximately 40% of the annotated ground truth cracks. More details of the training, the results, the dataset, and the code may be referenced in the journal article. The GitHub repository information may be found in the journal article.<br>If you are using the dataset in your work, please include <b>both </b>the journal article and the dataset citation. <br>
DOI: 10.34740/kaggle/dsv/2708578
title: COVID Vaccination in World (updated daily)
DOI: 10.25721/vxsc-6314
title: Eglise Saint Nicolas. Crédo
DOI: 10.25721/cjx3-v662
title: Eglise Saint Nicolas. Invocation "O Seigneur, écoute et prends pitié"
DOI: 10.25721/myg3-mb43
title: Largo
DOI: 10.5281/zenodo.5572252
title: DATASETS and OUTCOMES - Assessment of intrinsic aquifer vulnerability at continental scale through a critical application of the DRASTIC method: the case of South America

description: A robust and comprehensive assessment of intrinsic aquifer vulnerability at continental scale map may represent an essential initial step towards a more sustainable land-use and water management. This repository contains the outcomes of an intrinsic aquifer vulnerability assessment of South America, performed by the DRASTIC method. The assets included in this repository are mainly raster maps (.tif, .geotif), created and georeferenced in QGIS (v3.16). Coordinate reference system (CRS) of the dataset is WGS84. Technical specifications of all graphical outcomes are stored in a dedicated file (README.txt).
DOI: 10.5281/zenodo.5572251
title: DATASETS and OUTCOMES - Assessment of intrinsic aquifer vulnerability at continental scale through a critical application of the DRASTIC method: the case of South America

description: A robust and comprehensive assessment of intrinsic aquifer vulnerability at continental scale map may represent an essential initial step towards a more sustainable land-use and water management. This repository contains the outcomes of an intrinsic aquifer vulnerability assessment of South America, performed by the DRASTIC method. The assets included in this repository are mainly raster maps (.tif, .geotif), created and georeferenced in QGIS (v3.16). Coordinate reference system (CRS) of the dataset is WGS84. Technical specifications of all graphical outcomes are stored in a dedicated file (README.txt).
DOI: 10.25721/rr4c-5r52
title: Eglise Saint Nicolas. Messe du "Souvenir Français". Chant de la Préface du Sanctus
DOI: 10.25345/c58560
title: MassIVE MSV000088232 - Mass_spectrometry_data_for_G3BP1_APMS
title: Affinity purification of proteins bound to GFP-tagged or FLAG-tagged G3BP1 and G3BP2
DOI: 10.5066/p9ovtck4
title: Ephemeral channel heads and digital elevation models used to extract stream networks in Clarksburg, MD (ver. 2.0, October 2021)

description: This dataset describes the location of channel heads survyed in two headwater watersheds in Clarksburg, Montgomery County, Maryland, and the digital elevation models derived from light detection and ranging (lidar) covering the two watersheds. The digital elevation models were used to derive topographic attributes used to delineate drainage networks that were then assessed for accuracy using the field-surveyed channel heads. First posted - January 21, 2021 (available from author) Revised - October 15, 2021 (version 2.0)
DOI: 10.25721/vqzx-f620
title: Sanctus
DOI: 10.5281/zenodo.5572494
title: Earthquake catalog in QuakeML format from: "Spatio-Temporal Evolution of Intermediate-Depth Seismicity Beneath the Himalayas: Implications for Metamorphism and Tectonics"

description: Earthquake catalog of the intermediate-depth seismicity beneath the central Himalayas in QuakeML format. The information included for each event contains location, phase pick, local magnitude information. For more details refer to the Frontiers publication: Michailos et al., 2021
DOI: 10.5281/zenodo.5572493
title: Earthquake catalog in QuakeML format from: "Spatio-Temporal Evolution of Intermediate-Depth Seismicity Beneath the Himalayas: Implications for Metamorphism and Tectonics"

description: Earthquake catalog of the intermediate-depth seismicity beneath the central Himalayas in QuakeML format. The information included for each event contains location, phase pick, local magnitude information. For more details refer to the Frontiers publication: Michailos et al., 2021
DOI: 10.25721/nv3p-cz38
title: Ave Maria
DOI: 10.25721/t4dd-2914
title: Nous voici dans la ville
DOI: 10.15468/8mf8ek
title: Two new marine cyclopinids (Crustacea: Copepoda: Cyclopoida) from interstitial habitats in Korea

description: This dataset contains the digitized treatments in Plazi based on the original journal article Karanovic, Tomislav (2021): Two new marine cyclopinids (Crustacea: Copepoda: Cyclopoida) from interstitial habitats in Korea. Zootaxa 5051 (1): 319-345, DOI: https://doi.org/10.11646/zootaxa.5051.1.14
DOI: 10.5281/zenodo.5571592
title: ChIP-seq data for training purposes

description: Data for the EBAII training and concerning reads extracted from GSE40129 serie (NCBI GEO dataset) by human chr11 mapping. siNT_ER_E2_r3_chr11.fastq.gz (from GSM986063 sample) : ChIP-seq MCF_input_r3_chr21.fastq.gz (from GSM986091 sample) : input
DOI: 10.5281/zenodo.5571591
title: ChIP-seq data for training purposes

description: Data for the EBAII training and concerning reads extracted from GSE40129 serie (NCBI GEO dataset) by human chr11 mapping. siNT_ER_E2_r3_chr11.fastq.gz (from GSM986063 sample) : ChIP-seq MCF_input_r3_chr21.fastq.gz (from GSM986091 sample) : input
DOI: 10.25721/bnvw-6j55
title: Eglise Saint Nicolas. Brève allocution de l'archiprêtre pour régler la sortie
DOI: 10.25721/7dsp-xd10
title: Eglise Saint Nicolas. Sortie. Chorale des adieux
DOI: 10.15468/x4hwv5
title: Resolving the Lourinia armata (Claus, 1866) complex with remarks on the monophyletic status of Louriniidae, Monard 1927 (Copepoda: Harpacticoida)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Karaytuğ, Süphan, Sak, Serdar, Alper, Alp, Sönmez, Serdar (2021): Resolving the Lourinia armata (Claus, 1866) complex with remarks on the monophyletic status of Louriniidae, Monard 1927 (Copepoda: Harpacticoida). Zootaxa 5051 (1): 346-386, DOI: https://doi.org/10.11646/zootaxa.5051.1.15
DOI: 10.7284/144208
title: ADCP (Acoustic Doppler Current Profiler) data collected during research cruise FK201122 using a Hawaii UHDAS instrument system onboard the platform RV Falkor

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/144209
title: CTD (Conductivity, Temperature, Depth) data collected during research cruise FK201122 using a Sea-Bird SBE-911+ instrument system onboard the platform RV Falkor

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/144210
title: Expendable Probe data collected during research cruise FK201122 using a Turo Quoll instrument system onboard the platform RV Falkor

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/144211
title: Fluorometer data collected during research cruise FK201122 using a WET Labs ECO-FLNTU instrument system onboard the platform RV Falkor

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/144212
title: GNSS (Global Navigation Satellite System) data collected during research cruise FK201122 using a C&C C-Nav 3050 instrument system onboard the platform RV Falkor

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/144213
title: Gyrocompass data collected during research cruise FK201122 using a Raytheon STD 22 instrument system onboard the platform RV Falkor

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/144204
title: INS (Inertial Navigation System) data collected during research cruise FK201122 using a Applanix POS/MV-320 V5 instrument system onboard the platform RV Falkor

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/144207
title: INS (Inertial Navigation System) data collected during research cruise FK201122 using a Applanix POS/MV-320 V5 instrument system onboard the platform RV Falkor

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/144214
title: INS (Inertial Navigation System) data collected during research cruise FK201122 using a Kongsberg Seapath 320 instrument system onboard the platform RV Falkor

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/144205
title: Meteorological Station data collected during research cruise FK201122 using a Gill MetPak Pro instrument system onboard the platform RV Falkor

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/144206
title: Meteorological Station data collected during research cruise FK201122 using a Gill MetPak Pro instrument system onboard the platform RV Falkor

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/144216
title: Meteorological Station data collected during research cruise FK201122 using a Gill MetPak Pro instrument system onboard the platform RV Falkor

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/144217
title: Multibeam Echosounder data collected during research cruise FK201122 using a Kongsberg EM302 instrument system onboard the platform RV Falkor

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/144218
title: Multibeam Echosounder data collected during research cruise FK201122 using a Kongsberg EM710 instrument system onboard the platform RV Falkor

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/144201
title: Radiometer data collected during research cruise FK201122 using a Eppley RAD instrument system onboard the platform RV Falkor

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/144223
title: Radiometer data collected during research cruise FK201122 using a Biospherical QSR-2200 instrument system onboard the platform RV Falkor

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/144224
title: Radiometer data collected during research cruise FK201122 using a Biospherical QSR-2200 instrument system onboard the platform RV Falkor

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/144203
title: Speedlog data collected during research cruise FK201122 using a SKIPPER EML244 instrument system onboard the platform RV Falkor

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/144220
title: SSV (Sound Speed Velocimeter) data collected during research cruise FK201122 using a Valeport MiniSVS instrument system onboard the platform RV Falkor

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/144221
title: TSG (Thermosalinograph) data collected during research cruise FK201122 using a Sea-Bird SBE-45 instrument system onboard the platform RV Falkor

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.25721/d8jn-q535
title: Cérémonies du 11 novembre, place de la Résistance. "Ouvrez le banc"
DOI: 10.5281/zenodo.5555432
title: Neoplasm topography and morphology corpus

description: Pathology reports provide valuable information for cancer registries to understand, plan and implement strategies to mitigate the impact of cancer. However, coding key information from unstructured reports is done by experts in a time-consuming manual process. Here we report an automatic deep learning-based system that recognizes tumor morphology and topography mentions from free-text and suggests codes from the International Classification of Diseases for Oncology (ICD-O) in Spanish. This task was performed using the morphology guidelines and the Cantemist resource, an open corpus annotated with tumor morphology mentions created by the Barcelona Supercomputing Center, and the topography guidelines developed by us and inspired by the former. In this way we generated an annotated internal corpus of tumor morphology and topography mentions. Here, we applied transfer learning from state-of-the-art pre-trained language models to create a Named Entity Recognition (NER) model. The mentions found with this architecture are subsequently coded using a search engine tailored to the ICD-O codes. Our NER models achieved an F1-Score of 0.86 and 0.90 for tumor morphology and topography, respectively. The overall performance of our proposed automatic coding system achieved an accuracy at five suggestions of 0.72 and 0.65 for tumor morphology and topography, respectively. Our results demonstrate the feasibility of implementing NLP tools in the routine of a cancer center to extract and code valuable information from pathology reports. The tumor morphology corpus created in Spain, Cantemist corpus [https://doi.org/10.5281/zenodo.3773228], was developed at the Barcelona Supercomputing Center (funded by the "Plan de Tecnologías del Language"): "Miranda-Escalada, A., Farré, E., & Krallinger, M. (2020). Named entity recognition, concept normalization and clinical coding: Overview of the cantemist track for cancer text mining in spanish, corpus, guidelines, methods and results. In Proceedings of the Iberian Languages Evaluation Forum (IberLEF 2020), CEUR Workshop Proceedings<br> 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/. We are releasing the dataset in 2 formats: corpus_raw.zip: Contains the raw text files for each document along with its annotation file in Standoff format corpus.zip: Contains the corpus already tokenized and annotated using the IOB2 format. The corpus is separated into train, test and development subsets.
description: {"references": ["Antonio Miranda-Escalada, Farr\u00e9, Eul\u00e0lia, & Martin Krallinger. (2020). Cantemist corpus: gold standard of oncology clinical cases annotated with CIE-O 3 terminology (1.6) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.3978041"]}
DOI: 10.5281/zenodo.5555431
title: Neoplasm topography and morphology corpus

description: Pathology reports provide valuable information for cancer registries to understand, plan and implement strategies to mitigate the impact of cancer. However, coding key information from unstructured reports is done by experts in a time-consuming manual process. Here we report an automatic deep learning-based system that recognizes tumor morphology and topography mentions from free-text and suggests codes from the International Classification of Diseases for Oncology (ICD-O) in Spanish. This task was performed using the morphology guidelines and the Cantemist resource, an open corpus annotated with tumor morphology mentions created by the Barcelona Supercomputing Center, and the topography guidelines developed by us and inspired by the former. In this way we generated an annotated internal corpus of tumor morphology and topography mentions. Here, we applied transfer learning from state-of-the-art pre-trained language models to create a Named Entity Recognition (NER) model. The mentions found with this architecture are subsequently coded using a search engine tailored to the ICD-O codes. Our NER models achieved an F1-Score of 0.86 and 0.90 for tumor morphology and topography, respectively. The overall performance of our proposed automatic coding system achieved an accuracy at five suggestions of 0.72 and 0.65 for tumor morphology and topography, respectively. Our results demonstrate the feasibility of implementing NLP tools in the routine of a cancer center to extract and code valuable information from pathology reports. The tumor morphology corpus created in Spain, Cantemist corpus [https://doi.org/10.5281/zenodo.3773228], was developed at the Barcelona Supercomputing Center (funded by the "Plan de Tecnologías del Language"): "Miranda-Escalada, A., Farré, E., & Krallinger, M. (2020). Named entity recognition, concept normalization and clinical coding: Overview of the cantemist track for cancer text mining in spanish, corpus, guidelines, methods and results. In Proceedings of the Iberian Languages Evaluation Forum (IberLEF 2020), CEUR Workshop Proceedings<br> 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/. We are releasing the dataset in 2 formats: corpus_raw.zip: Contains the raw text files for each document along with its annotation file in Standoff format corpus.zip: Contains the corpus already tokenized and annotated using the IOB2 format. The corpus is separated into train, test and development subsets.
description: {"references": ["Antonio Miranda-Escalada, Farr\u00e9, Eul\u00e0lia, & Martin Krallinger. (2020). Cantemist corpus: gold standard of oncology clinical cases annotated with CIE-O 3 terminology (1.6) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.3978041"]}
DOI: 10.25721/d3yg-b034
title: Cérémonies du 11 novembre, place de la Résistance. Remise des décorations
DOI: 10.5517/ccdc.csd.cc28f1d5
title: CCDC 2097906: Experimental Crystal Structure Determination

description: Related Article: Christian Schneider, Sophie J. Groß, Serhiy Demeshko, Sébastien Bontemps, Franc Meyer, C. Gunnar Werncke|2021|Chem.Commun.|57|10751|doi:10.1039/D1CC04196G
DOI: 10.5517/ccdc.csd.cc28f1f6
title: CCDC 2097907: Experimental Crystal Structure Determination

description: Related Article: Christian Schneider, Sophie J. Groß, Serhiy Demeshko, Sébastien Bontemps, Franc Meyer, C. Gunnar Werncke|2021|Chem.Commun.|57|10751|doi:10.1039/D1CC04196G
DOI: 10.5517/ccdc.csd.cc28f1g7
title: CCDC 2097908: Experimental Crystal Structure Determination

description: Related Article: Christian Schneider, Sophie J. Groß, Serhiy Demeshko, Sébastien Bontemps, Franc Meyer, C. Gunnar Werncke|2021|Chem.Commun.|57|10751|doi:10.1039/D1CC04196G
DOI: 10.5517/ccdc.csd.cc28fd48
title: CCDC 2098239: Experimental Crystal Structure Determination

description: Related Article: Peigen Yao, Yixuan Wang, Weiguo Qiao, Xianglang Sun, Haiyan Peng, Xiaolin Xie, Zhong'an Li|2021|J.Mater.Chem.C|9|13687|doi:10.1039/D1TC03459F
DOI: 10.5517/ccdc.csd.cc28fldq
title: CCDC 2098433: Experimental Crystal Structure Determination

description: Related Article: Peigen Yao, Yixuan Wang, Weiguo Qiao, Xianglang Sun, Haiyan Peng, Xiaolin Xie, Zhong'an Li|2021|J.Mater.Chem.C|9|13687|doi:10.1039/D1TC03459F
DOI: 10.5517/ccdc.csd.cc28fmjw
title: CCDC 2098468: Experimental Crystal Structure Determination

description: Related Article: Peigen Yao, Yixuan Wang, Weiguo Qiao, Xianglang Sun, Haiyan Peng, Xiaolin Xie, Zhong'an Li|2021|J.Mater.Chem.C|9|13687|doi:10.1039/D1TC03459F
DOI: 10.5517/ccdc.csd.cc28fmn0
title: CCDC 2098472: Experimental Crystal Structure Determination

description: Related Article: Peigen Yao, Yixuan Wang, Weiguo Qiao, Xianglang Sun, Haiyan Peng, Xiaolin Xie, Zhong'an Li|2021|J.Mater.Chem.C|9|13687|doi:10.1039/D1TC03459F
DOI: 10.5517/ccdc.csd.cc28fwn8
title: CCDC 2098720: Experimental Crystal Structure Determination

description: Related Article: Dasari Srinivas, Gedu Satyanarayana|2021|Org.Lett.|23|7353|doi:10.1021/acs.orglett.1c02460
DOI: 10.5517/ccdc.csd.cc28g8hj
title: CCDC 2099087: Experimental Crystal Structure Determination

description: Related Article: Marcel Bürger, Nadine Ehrhardt, Thomas Barber, Liam T. Ball, Jan C. Namyslo, Peter G. Jones, Daniel B. Werz|2021|J.Am.Chem.Soc.|143|16796|doi:10.1021/jacs.1c08689
DOI: 10.5517/ccdc.csd.cc28g8jk
title: CCDC 2099088: Experimental Crystal Structure Determination

description: Related Article: Marcel Bürger, Nadine Ehrhardt, Thomas Barber, Liam T. Ball, Jan C. Namyslo, Peter G. Jones, Daniel B. Werz|2021|J.Am.Chem.Soc.|143|16796|doi:10.1021/jacs.1c08689
DOI: 10.5517/ccdc.csd.cc28g8kl
title: CCDC 2099089: Experimental Crystal Structure Determination

description: Related Article: Marcel Bürger, Nadine Ehrhardt, Thomas Barber, Liam T. Ball, Jan C. Namyslo, Peter G. Jones, Daniel B. Werz|2021|J.Am.Chem.Soc.|143|16796|doi:10.1021/jacs.1c08689
DOI: 10.5517/ccdc.csd.cc28g8lm
title: CCDC 2099090: Experimental Crystal Structure Determination

description: Related Article: Marcel Bürger, Nadine Ehrhardt, Thomas Barber, Liam T. Ball, Jan C. Namyslo, Peter G. Jones, Daniel B. Werz|2021|J.Am.Chem.Soc.|143|16796|doi:10.1021/jacs.1c08689
DOI: 10.5517/ccdc.csd.cc28g8mn
title: CCDC 2099091: Experimental Crystal Structure Determination

description: Related Article: Marcel Bürger, Nadine Ehrhardt, Thomas Barber, Liam T. Ball, Jan C. Namyslo, Peter G. Jones, Daniel B. Werz|2021|J.Am.Chem.Soc.|143|16796|doi:10.1021/jacs.1c08689