cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc2cmqwm
title: CCDC 2193711: Experimental Crystal Structure Determination

description: Related Article: Xihong Wang, Chi Feng, Julong Jiang, Satoshi Maeda, Koji Kubota, Hajime Ito|2023|Nat.Commun.|14|5561|doi:10.1038/s41467-023-41113-z
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.cc2cmqxn
title: CCDC 2193712: Experimental Crystal Structure Determination

description: Related Article: Xihong Wang, Chi Feng, Julong Jiang, Satoshi Maeda, Koji Kubota, Hajime Ito|2023|Nat.Commun.|14|5561|doi:10.1038/s41467-023-41113-z
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: 10.15124/b68c1c34-8974-46d8-8728-05c6cd6e9e8b
title: INCHEM-Py v1.2 GMD publication Dataset

description: Dataset for the GMD publication of INCHEM-Py v1.2
DOI: 10.23708/57d7e39c-e376-4c26-8976-5923e09dd506
title: Afrique de l'Ouest : tableau d'assemblage des cartes gravimétriques. Scale unknown. Date of publication: 1966.

description: 1. Afrique de l'Ouest : tableau d'assemblage des cartes gravimétriques. / Genestier, N.; Scale unknown. Date of publication: 1966. (file: 11292RC_IRD_-AF_CAGP_1966_----_IRD_-AF_CAGP_1966_----.tif)
DOI: 10.5281/zenodo.8431047
title: Twitter Dataset on the Russo-Ukrainian War

description: On 24 February 2022, Russia invaded Ukraine, also known now as the Russo-Ukrainian War. We obtained our dataset through Twitter API from 23 February of 2022 until 23 June of 2023. The collected dataset has 127.275.386 tweets, shared in the form of anonymized text, where the tweet/user IDs and user mentions are anonymized and do not provide any personal information. The provided dataset contains user discussion in more than 70 languages, where the 20 most popular are : 'eng', 'fr', 'de', 'mix', 'it', 'es', 'ja', 'ru', 'pl', 'uk', 'tr', 'th', 'hi', 'qme', 'qht', 'nl', 'fi', 'ar', 'zh' and 'pt'. For the purpose of the information integrity tweets are separated and stored in different files ordered by creation date. The provided dataset is shared for further research purposes. Additionally, we provide the list of tweets IDs at the GitHub repository which can be retracted via Twitter API. Furthermore, we also manage to execute some initial analysis including: volume/activity, hashtags popularity, sentiment and military intelligence and publish the results in the web portal.
DOI: 10.5281/zenodo.8431046
title: Twitter Dataset on the Russo-Ukrainian War

description: On 24 February 2022, Russia invaded Ukraine, also known now as the Russo-Ukrainian War. We obtained our dataset through Twitter API from 23 February of 2022 until 23 June of 2023. The collected dataset has 127.275.386 tweets, shared in the form of anonymized text, where the tweet/user IDs and user mentions are anonymized and do not provide any personal information. The provided dataset contains user discussion in more than 70 languages, where the 20 most popular are : 'eng', 'fr', 'de', 'mix', 'it', 'es', 'ja', 'ru', 'pl', 'uk', 'tr', 'th', 'hi', 'qme', 'qht', 'nl', 'fi', 'ar', 'zh' and 'pt'. For the purpose of the information integrity tweets are separated and stored in different files ordered by creation date. The provided dataset is shared for further research purposes. Additionally, we provide the list of tweets IDs at the GitHub repository which can be retracted via Twitter API. Furthermore, we also manage to execute some initial analysis including: volume/activity, hashtags popularity, sentiment and military intelligence and publish the results in the web portal.
DOI: 10.5281/zenodo.10026599
title: YURTIMIZDA MILLIY QOʼSHIQCHILIKNING RIVOJLANISHI.

description: Ushbu maqolada yurtimizda milliy qo'shiqchilikning rivoji, taraqqiyoti borasida so'z boradi.
DOI: 10.5281/zenodo.10026598
title: YURTIMIZDA MILLIY QOʼSHIQCHILIKNING RIVOJLANISHI.

description: Ushbu maqolada yurtimizda milliy qo'shiqchilikning rivoji, taraqqiyoti borasida so'z boradi.
DOI: 10.5281/zenodo.8055450
title: PRECOM Project Corpus

description: Collection of native spanish texts of PRECOM project where several pathological gambling topics are included.
DOI: 10.18167/dvn1/9hkixi
title: Simulation de l'impact du climat sur les rendements canniers à La Réunion, application du modèle MOSICAS de 2002 à 2022

description: A travers une analyse des prévisions de rendements avec le modèle de culture Mosicas depuis 2002, l’objectif est de réalisé un diagnostic permettant d’expliquer l’influence du climat sur les rendements obtenus lors de la dernière campagne sucrière à La Réunion. Files included: - input folder: MOSICAS input file - Weather and irrigation data folder: MOSICAS input climatic data - output folder: MOSICAS output file - DATA folder: 2002_2020_surface-canne_maille-BRIO: change in sugarcane area TABLE_RU_LAT_LONG: table of pixel identification and location
DOI: 10.18167/dvn1/imkeem
title: Application of biomolecular techniques on tsetse fly puparia for species identification

description: Experimental results and script for statistical analyses related to the paper entitled "Application of biomolecular techniques on tsetse fly puparia for species identification". The study investigated whether a reliable molecular identification of tsetse species can be made from DNA of puparia. We thus evaluated and compared the performance of five DNA extraction methods, selected as the most widely used in insect genetic studies, namely Chelex® 100 Resin, CTAB, Livak’s protocol, DEB + proteinase K and QIAamp® DNA Mini kit on lab-reared as well as field-collected puparia of varying ages. These data have been obtained at the CIRDES molecular laboratory between January 2019 and June 2020.
DOI: 10.6084/m9.figshare.24297922
title: Supplementary Material for: Re-irradiation after radical dose radiotherapy: a case report challenging an established dogma.

description: Traditionally, external beam radiation therapy has a dogma pronouncing that re-irradiation of a region previously exposed to radical dose radiotherapy is contraindicated due to unacceptable risk to surrounding tissues. This edict is often zealously maintained to the detriment of certain, carefully selected patients that may benefit from re-irradiation. Liposarcoma is a high-grade malignancy with a poor prognosis and high rates of recurrence. A case is described of multiply recurrent liposarcoma that we treated with re-irradiation of an extended field encompassing the gross recurrent tumor mass and including the previously irradiated region. The patient had a very good cosmetic outcome and remained disease free after three years of follow up. The case demonstrates the potential to significantly improve patient care if established dogmas are challenged related to the re-irradiation of recurrent high-grade tumors. We propose that with careful patient selection re-irradiation can be delivered safely to patients with recurrent tumors and contribute to improved clinical outcomes.
DOI: 10.6084/m9.figshare.24297922.v1
title: Supplementary Material for: Re-irradiation after radical dose radiotherapy: a case report challenging an established dogma.

description: Traditionally, external beam radiation therapy has a dogma pronouncing that re-irradiation of a region previously exposed to radical dose radiotherapy is contraindicated due to unacceptable risk to surrounding tissues. This edict is often zealously maintained to the detriment of certain, carefully selected patients that may benefit from re-irradiation. Liposarcoma is a high-grade malignancy with a poor prognosis and high rates of recurrence. A case is described of multiply recurrent liposarcoma that we treated with re-irradiation of an extended field encompassing the gross recurrent tumor mass and including the previously irradiated region. The patient had a very good cosmetic outcome and remained disease free after three years of follow up. The case demonstrates the potential to significantly improve patient care if established dogmas are challenged related to the re-irradiation of recurrent high-grade tumors. We propose that with careful patient selection re-irradiation can be delivered safely to patients with recurrent tumors and contribute to improved clinical outcomes.
DOI: 10.6084/m9.figshare.24161556
title: Supplementary Material for: Deep learning neural network -guided detection of asbestos bodies in bronchoalveolar lavage samples

description: Introduction: Asbestos is a global occupational health hazard and exposure to it by inhalation predisposes to interstitial as well as malignant pulmonary morbidity. Over time, asbestos fibers embedded in lung tissue can become coated with iron-rich proteins and mucopolysaccharides, after which they are called asbestos bodies and can be detected in light microscopy. Bronchoalveolar lavage, a cytological sample from the lower airways, is one of the methods for diagnosing lung asbestosis and related morbidity. Search for asbestos bodies in these samples is generally laborious and time-consuming. We describe a novel diagnostic method, which implements deep-learning neural network technology for the detection of asbestos bodies in bronchoalveolar lavage samples. Methods: Bronchoalveolar lavage samples with suspicion of asbestos exposure were scanned as whole slide images and uploaded to a cloud-based virtual microscopy platform with a neural network training interface. The images were used for training and testing a neural network model capable of recognizing asbestos bodies. To prioritize the model’s sensitivity, we allowed it to also make false-positive suggestions. To test the model, we compared its performance to standard light microscopy diagnostic data as well as the ground truth number of asbestos bodies, which we established by a thorough manual search of the whole slide images. Results: We were able to reach overall sensitivity of 93.4 % (95% CI 90.3 – 95.7 %) in the detection of asbestos bodies in comparison to their ground truth number. Compared to standard light microscopy diagnostic data, our model showed equal to or higher sensitivity in most cases. Conclusion: Our results indicate that deep learning neural network technology offers promising diagnostic tools for routine assessment of bronchoalveolar lavage samples. However, at this stage, a human expert is required to confirm the findings.
DOI: 10.6084/m9.figshare.24161556.v1
title: Supplementary Material for: Deep learning neural network -guided detection of asbestos bodies in bronchoalveolar lavage samples

description: Introduction: Asbestos is a global occupational health hazard and exposure to it by inhalation predisposes to interstitial as well as malignant pulmonary morbidity. Over time, asbestos fibers embedded in lung tissue can become coated with iron-rich proteins and mucopolysaccharides, after which they are called asbestos bodies and can be detected in light microscopy. Bronchoalveolar lavage, a cytological sample from the lower airways, is one of the methods for diagnosing lung asbestosis and related morbidity. Search for asbestos bodies in these samples is generally laborious and time-consuming. We describe a novel diagnostic method, which implements deep-learning neural network technology for the detection of asbestos bodies in bronchoalveolar lavage samples. Methods: Bronchoalveolar lavage samples with suspicion of asbestos exposure were scanned as whole slide images and uploaded to a cloud-based virtual microscopy platform with a neural network training interface. The images were used for training and testing a neural network model capable of recognizing asbestos bodies. To prioritize the model’s sensitivity, we allowed it to also make false-positive suggestions. To test the model, we compared its performance to standard light microscopy diagnostic data as well as the ground truth number of asbestos bodies, which we established by a thorough manual search of the whole slide images. Results: We were able to reach overall sensitivity of 93.4 % (95% CI 90.3 – 95.7 %) in the detection of asbestos bodies in comparison to their ground truth number. Compared to standard light microscopy diagnostic data, our model showed equal to or higher sensitivity in most cases. Conclusion: Our results indicate that deep learning neural network technology offers promising diagnostic tools for routine assessment of bronchoalveolar lavage samples. However, at this stage, a human expert is required to confirm the findings.
DOI: 10.5517/ccdc.csd.cc2cnh8t
title: CCDC 2194436: Experimental Crystal Structure Determination

description: Related Article: Parthasarathy Gayathri, Periyappan Nantheeswaran, Mariappan Mariappan, Subramanian Karthikeyan, Mehboobali Pannipara, Abdullah G. Al-Sehemi, Dohyun Moon, Savarimuthu Philip Anthony|2023|Spectrochim.Acta,Part A|286|121989|doi:10.1016/j.saa.2022.121989
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.cc2cpmj7
title: CCDC 2195529: Experimental Crystal Structure Determination

description: Related Article: Kah Yean Lum, Jonathan M White, Daniel J G Johnson, Vicky M Avery, Rohan A Davis|2023|Beilstein J.Org.Chem.|19|107|doi:10.3762/bjoc.19.11
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.cc2cwwv0
title: CCDC 2201553: Experimental Crystal Structure Determination

description: Related Article: Michael A. Land, Dexter A. Dimova, Katherine N. Robertson, Seán T. Barry|2023|J.Vac. Sci.Tech. A|41|012403|doi:10.1116/6.0002254
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.cc2cwww1
title: CCDC 2201554: Experimental Crystal Structure Determination

description: Related Article: Michael A. Land, Dexter A. Dimova, Katherine N. Robertson, Seán T. Barry|2023|J.Vac. Sci.Tech. A|41|012403|doi:10.1116/6.0002254
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.cc2cwwx2
title: CCDC 2201555: Experimental Crystal Structure Determination

description: Related Article: Michael A. Land, Dexter A. Dimova, Katherine N. Robertson, Seán T. Barry|2023|J.Vac. Sci.Tech. A|41|012403|doi:10.1116/6.0002254
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.cc2cwwy3
title: CCDC 2201556: Experimental Crystal Structure Determination

description: Related Article: Michael A. Land, Dexter A. Dimova, Katherine N. Robertson, Seán T. Barry|2023|J.Vac. Sci.Tech. A|41|012403|doi:10.1116/6.0002254
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: 10.5281/zenodo.10023350
title: Detection of colinear blocks, and synteny and evolutionary analyses based on utilization of MCScanX
DOI: 10.5281/zenodo.10023349
title: Detection of colinear blocks, and synteny and evolutionary analyses based on utilization of MCScanX
DOI: 10.6084/m9.figshare.24198729
title: Supplementary Material for: Limited efficacy of Venetoclax Combination Regimens in Acute Myeloid Leukemia with Extramedullary Relapse

description: The recently approved Bcl-2 inhibitor venetoclax (VEN) has achieved promising outcomes in new and relapsed/refractory (R/R) acute myeloid leukemia (AML). Although its use is not well-established in R/R AML with extramedullary disease (EMD), some reports have shown promising outcomes. We retrospectively analyzed 11 patients of R/R AML with EMD [with (n=4) or without (n=7) concurrent marrow involvement], who were treated with VEN plus decitabine (n=9) or low-dose cytarabine (n=2) between May 2020 and October 2020 in Seoul St. Mary’s Hospital. The median number of prior treatment lines was 3 (1-6) and most (n=9, 81.8%) had multiple sites of EMD. Nine patients (81.8%) received concurrent therapy for EM involvement sites with radiotherapy (RT) (n=4), surgery (n=1) and both of them (n=4). Among 11 patients, four patients (36.4%) had either marrow or EM responses to VEN-combination; EM response was seen in one patient (9.1%, partial response) who had received concurrent radiotherapy (25Gy, 10fx) during 1st cycle of VEN-combination, and other three patients showed marrow response without EM response. After median follow-up of 27.0 months, the median overall survival was estimated to be 5.4 months. To conclude, VEN-combination regimens have shown only modest efficacy in EM recurrence of AML with little impact on eliciting EM response.
DOI: 10.6084/m9.figshare.24198729.v1
title: Supplementary Material for: Limited efficacy of Venetoclax Combination Regimens in Acute Myeloid Leukemia with Extramedullary Relapse

description: The recently approved Bcl-2 inhibitor venetoclax (VEN) has achieved promising outcomes in new and relapsed/refractory (R/R) acute myeloid leukemia (AML). Although its use is not well-established in R/R AML with extramedullary disease (EMD), some reports have shown promising outcomes. We retrospectively analyzed 11 patients of R/R AML with EMD [with (n=4) or without (n=7) concurrent marrow involvement], who were treated with VEN plus decitabine (n=9) or low-dose cytarabine (n=2) between May 2020 and October 2020 in Seoul St. Mary’s Hospital. The median number of prior treatment lines was 3 (1-6) and most (n=9, 81.8%) had multiple sites of EMD. Nine patients (81.8%) received concurrent therapy for EM involvement sites with radiotherapy (RT) (n=4), surgery (n=1) and both of them (n=4). Among 11 patients, four patients (36.4%) had either marrow or EM responses to VEN-combination; EM response was seen in one patient (9.1%, partial response) who had received concurrent radiotherapy (25Gy, 10fx) during 1st cycle of VEN-combination, and other three patients showed marrow response without EM response. After median follow-up of 27.0 months, the median overall survival was estimated to be 5.4 months. To conclude, VEN-combination regimens have shown only modest efficacy in EM recurrence of AML with little impact on eliciting EM response.
DOI: 10.5281/zenodo.10026623
title: Code and data for manuscript: Incorporating environmental heterogeneity and observation effort to predict host distribution and viral spillover from a bat reservoir.

description: This is the source code and data required to reproduce data analysis and figures from the manuscript, "Incorporating environmental heterogeneity and observation effort to predict host distribution and viral spillover from a bat reservoir".
DOI: 10.5281/zenodo.7704509
title: Code and data for manuscript: Incorporating environmental heterogeneity and observation effort to predict host distribution and viral spillover from a bat reservoir.

description: This is the source code and data required to reproduce data analysis and figures from the manuscript, "Incorporating environmental heterogeneity and observation effort to predict host distribution and viral spillover from a bat reservoir".
DOI: 10.5281/zenodo.7704510
title: Code and data for manuscript: Incorporating environmental heterogeneity and observation effort to predict host distribution and viral spillover from a bat reservoir.

description: This is the source code and data required to reproduce data analysis and figures from the manuscript, "Incorporating environmental heterogeneity and observation effort to predict host distribution and viral spillover from a bat reservoir".
DOI: 10.5281/zenodo.8211050
title: Code and data for manuscript: Incorporating environmental heterogeneity and observation effort to predict host distribution and viral spillover from a bat reservoir.

description: This is the source code and data required to reproduce data analysis and figures from the manuscript, "Incorporating environmental heterogeneity and observation effort to predict host distribution and viral spillover from a bat reservoir".
DOI: 10.6084/m9.figshare.24161109
title: Supplementary Material for: Sex Hormone-Binding Globulin and Risk of Incident Dementia in Middle-aged to older Women: Results from the UK Biobank Cohort Study

description: Introduction: The association of serum sex hormone-binding globulin (SHBG) concentrations with dementia risk remains uncertain in middle-aged to older women. We examined associations of serum SHBG levels with incidence of all-cause dementia and its subtypes in middle-aged to older women from the large population-based UK Biobank cohort study. Methods: Serum total SHBG levels were measured by immunoassay. The incidence of all-cause dementia and its subtypes was recorded. Cox proportional hazards models were used to calculate hazard ratios (HR) for main outcomes. Results: Among 171,482 community-dwelling women (mean (SD) age was 59.9 (5.4) years, median follow-up of 11.8 years), 2,368 developed dementia, including 1,088 from Alzheimer's disease (AD), 451 from vascular dementia (VAD), and 1,609 from other dementia. After multivariable adjustments, higher serum SHBG levels were significantly associated with higher risks of all-cause dementia, AD and other dementia (All P&lt;0.05). Compared to those in the lowest quartile of SHBG levels, participants in the highest quartile of SHBG levels had a higher risk of all-cause dementia (HR 1.34; 95% confidence interval [CI] 1.16-1.53), AD (HR 1.32; 95% CI 1.07-1.62), and other dementia (HR 1.44; 95% CI 1.21-1.70). However, this relationship was not significant for VAD (HR 1.16; 95% CI 0.86-1.56). Conclusion: These findings indicated that higher serum SHBG concentrations were independently associated with higher risks of incident all-cause dementia, as well as AD and other dementia among middle-aged to older women. No association was found for VAD.