cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7506219
title: Parallel text typology dataset

description: This repository contains data accompanying the paper <em>Neural models can sometimes discover typological generalizations</em>, currently being submitted for publication. It contains the following information for 1295 different languages: language vector representations from a range of neural models automatically derived lists of affixes automatically derived lists of inflectional paradigms typological features derived from annotation projection, and statistics on dependency relations typological features derived from classifiers trained on language vectors and typological databases automatically derived word lists data needed for automatic evaluation of language representations (code in separate repository) Note that the multilingual word embeddings described in the paper are very large, and therefore distributed in a separate public repository.
description: The computations were enabled by resources provided by the Swedish National Infrastructure for Computing (SNIC) at C3SE partially funded by the Swedish Research Council through grant agreement no. 2018-05973. This work was funded in part by the Swedish Research Council through grant agreement no. 2019-04129.
DOI: 10.6073/pasta/4ec30ef01ede3881433dc70c023f7b51
title: Measurements of water column specific conductivity, salinity, dissolved oxygen, chlorophyll, temperature, and pH by deployed datasondes every 20 minutes for several periods during the summertime of 2017-2020

description: West Falmouth Harbor (West Falmouth, MA, USA) has been experiencing a dramatic increase in nitrogen loading from an upgradient municipal wastewater treatment facility since the early 2000’s. As part of a long-term study into the effects of this nitrogen enrichment, we have measured water column parameters at 20 minute intervals in two locations within West Falmouth Harbor (West Falmouth, MA, USA), one in the well-flushed outer basin and one in the inner basin closer to the dominant groundwater N source. The goal of this dataset is to compare conditions at the two sites, as well as to derive rates of metabolism. Parameters measured include temperature, specific conductivity, salinity, dissolved oxygen, chlorophyll, and pH. YSI Datasondes were deployed during 4 periods ranging from 6 to 11 days in July and August, suspended vertically from a surface buoy. Over all deployments, instruments passed all QA checks, and average differences between the two instruments over all deployments were less than 0.06 degrees C (temperature), 0.3 (salinity), 0.05 (pH), 1.0 µg/L (chlorophyll), 1.5 (%DO Saturation). Data provided here are not corrected for drift, and chlorophyll data are uncorrected as reported by the instruments. Chlorophyll reported is uncorrected from the YSI calculation based on in-situ fluorescence and calibration with a single-point using deionized water. Lab fluorometric analysis checks show that the YSI chlorophyll is over-reporting by at least 20% at low concentrations, and high concentrations were not able to be validated. Methodology details and analysis of earlier data can be found in Howarth et al 2014, "Metabolism of a nitrogen-enriched coastal marine lagoon during the summertime," doi:10.1007/s10533-013-9901-x
DOI: 10.5525/gla.researchdata.1381
title: Understanding the emergence of the boson peak in molecular glasses

description: Data used to make the figures in the manuscript
DOI: 10.3886/e183822
title: ECIN Replication Package for "Bondholder representatives on bank boards: a device for market discipline"

description: Replication package for "Bondholder representatives on bank boards: a device for market discipline"<br>Abstract<b> <br></b>We examine whether board representation of bondholders can be an effective market discipline mechanism to reduce bank risk, using a unique dataset combining information on bondholders and boards of directors of European listed banks. Our results show that the influence of bondholder representatives on the bank board significantly reduces bank risk without impacting profitability. The beneficial effect of this market discipline mechanism is stronger when bondholder representatives have regulatory experience, current or long relationships with their affiliated bondholders, and for more complex banks. In contrast, the reducing impact on bank risk is smaller for banks with lower capitalization levels.
DOI: 10.3886/e183822v1
title: ECIN Replication Package for "Bondholder representatives on bank boards: a device for market discipline"

description: Replication package for "Bondholder representatives on bank boards: a device for market discipline"<br>Abstract<b> <br></b>We examine whether board representation of bondholders can be an effective market discipline mechanism to reduce bank risk, using a unique dataset combining information on bondholders and boards of directors of European listed banks. Our results show that the influence of bondholder representatives on the bank board significantly reduces bank risk without impacting profitability. The beneficial effect of this market discipline mechanism is stronger when bondholder representatives have regulatory experience, current or long relationships with their affiliated bondholders, and for more complex banks. In contrast, the reducing impact on bank risk is smaller for banks with lower capitalization levels.
DOI: 10.5281/zenodo.7506475
title: Dataset for the Roles of Cloud Radiative Forcing in the Onset of MJO in DYNAMO

description: <strong>A journal paper "Roles of Cloud Radiative Forcing in the Onset of MJO in DYNAMO" details the method to create the data.</strong> Readme The modeling and observed dataset for generating the figures in this paper is stored here. Contact For any questions related to the dataset, please contact the authors of the paper.
DOI: 10.5281/zenodo.7506474
title: Dataset for the Roles of Cloud Radiative Forcing in the Onset of MJO in DYNAMO

description: <strong>A journal paper "Roles of Cloud Radiative Forcing in the Onset of MJO in DYNAMO" details the method to create the data.</strong> Readme The modeling and observed dataset for generating the figures in this paper is stored here. Contact For any questions related to the dataset, please contact the authors of the paper.
DOI: 10.13130/rd_unimi/ifcpax/osuizi
title: resistance_spinoletta_ascii.asc

description: 1/habitat suitability resistance surface
DOI: 10.6084/m9.figshare.21821439
title: dataset_CRC_Fes.csv

description: This data contains information on the overall survival rates for colorectal patients in Morocco and some related prognostic factors. Our initial work consisted in using a novel approach combining survival random forest and the Cox model.
DOI: 10.6084/m9.figshare.21821577
title: Compensatory responses of vital rates attenuate impacts of competition on population growth and promote coexistence

description: Competition is among the most important factors regulating plant population and community dynamics, but we know little about how different vital rates respond to competition and jointly determine population growth and species coexistence. We conducted a field experiment and parameterized integral projection models to model the population growth of 14 herbaceous plant species in the absence and presence of neighbours across an elevation gradient (284 interspecific pairs). We found that suppressed individual growth and seedling establishment contributed the most to competition-induced declines in population growth, though vital rate contributions varied greatly between species and with elevation. In contrast, size-specific survival and flowering probability and seed production were frequently enhanced under competition (in 92% of species pairs). These compensatory responses of vital rates significantly reduced niche overlap and stabilized coexistence. Our study highlights the importance of demographic processes for regulating community dynamics, which has often been neglected by classic coexistence theories.
DOI: 10.6084/m9.figshare.19433333
title: Original Data

description: the data of scaled model experiments<br>
DOI: 10.6084/m9.figshare.19433333.v1
title: Original Data

description: the data of mathematical simulations<br>
DOI: 10.6084/m9.figshare.19433333.v2
title: Original Data

description: the data of scaled model experiments<br>
DOI: 10.34740/kaggle/ds/2786466
title: MCU Movies Dataset
DOI: 10.6084/m9.figshare.21806943.v1
title: Supplementary Material.xlsx

description: Supplementary data relating to genetic factors influencing the recovery of adrenal function in Cushing's Disease patients, including genes of interest, gene load, and missense, rare, and damaging SNPs.
DOI: 10.6084/m9.figshare.21806943
title: Supplementary Material.xlsx

description: Supplementary data relating to genetic factors influencing the recovery of adrenal function in Cushing's Disease patients, including genes of interest, gene load, and missense, rare, and damaging SNPs.
DOI: 10.6084/m9.figshare.21821439.v1
title: dataset_CRC_Fes.csv

description: This data contains information on the overall survival rates for colorectal patients in Morocco and some related prognostic factors. Our initial work consisted in using a novel approach combining survival random forest and the Cox model.
DOI: 10.6084/m9.figshare.21821664
title: Supplementary Material for: Humoral Response to BNT162b2 and CoronaVac in Patients Undergoing Maintenance Hemodialysis: A Multicenter Prospective Cohort Study

description: <b><i>Introduction:</i></b> Data regarding inactivated vaccines for SARS-CoV-2 in patients undergoing maintenance hemodialysis (MHD) are limited. We aimed to investigate humoral responses induced by CoronaVac compared to BNT162b2 in this population. <b><i>Methods:</i></b> In this multicenter prospective cohort study, adult patients undergoing MHD who lacked a history of COVID-19 and decided to get vaccinated with BNT162b2 or CoronaVac were enrolled. Participants provided serum samples before, 1 and 3 months after 2 doses. Anti-SARS-CoV-2 IgG antibodies against receptor-binding domain of the virus were measured, and levels ≥50 AU/mL were considered as positive. Breakthrough infections and adverse events were recorded. <b><i>Results:</i></b> Ninety-two patients were included, 68 (73.9%) of whom were seronegative at baseline. BNT162b2 and CoronaVac were administered in 38 (55.9%) and 30 (44.1%) patients. At 1 month, seropositivity was 93.1% in BNT162b2 and 88% in CoronaVac groups (<i>p</i> = 0.519). Quantitative antibody levels were significantly higher in BNT162b2 (<i>p</i> &lt; 0.001). At 3 months, both seropositivity (96.4% and 78.3%, <i>p</i> = 0.045) and antibody levels (<i>p</i> = 0.001) remained higher in BNT162b2 compared to CoronaVac. Five patients (7.4%) experienced breakthrough COVID-19. Adverse events were more frequent with BNT162b2, although all of them were mild. Multiple linear regression model showed that only vaccine choice (BNT162b2) was related to the humoral response (β = 0.272, <i>p</i> = 0.038). Seropositive patients at baseline (<i>n</i> = 24) had higher antibody levels at any time point. <b><i>Conclusions:</i></b> BNT162b2 and CoronaVac induced humoral responses in naïve patients undergoing MHD, which were more robust and durable for 3 months after BNT162b2. Both vaccines created high antibody levels in patients who were seropositive at baseline.
DOI: 10.5281/zenodo.7055792
title: Selected data analysed in the JGR Atmosphere manuscript " An application of the maximum entropy production method in the WRF Noah land surface model"

description: The control experiment (hereafter WRF-CTL) and the MEP experiment (hereafter WRF-MEP) simulations results interpolated to the observation stations. The simulation period was 1 June to 31 August 2015 with 30 hours from 12:00 UTC (20:00 Beijing time (BJT)) each day, and the latest 24-hour outputs are provided.
DOI: 10.5517/ccdc.csd.cc2868yq
title: CCDC 2091413: Experimental Crystal Structure Determination

description: Related Article: Muhammad Fahad Jamali, Usha Yadav, Mary Merlin Manjaly Babu, Ruchir Kant, Kishor Mohanan|2022|Chem.Commun.|59|446|doi:10.1039/D2CC05831F
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.cc2b82b1
title: CCDC 2152712: Experimental Crystal Structure Determination

description: Related Article: Tianjiao Xue, You-Song Ding, Daniel Reta, Qi-Wei Chen, Xiaofei Zhu, Zhiping Zheng|2022|Cryst.Growth Des.|23|565|doi:10.1021/acs.cgd.2c01177
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.cc2brwww
title: CCDC 2167919: Experimental Crystal Structure Determination

description: Related Article: Sankarsan Biswas, Sayan Banerjee, Milan A. Shlain, Andrey A. Bardin, Rein V. Ulijn, Brent L. Nannenga, Andrew M. Rappe, Adam B. Braunschweig|2022|Faraday Discuss.|241|266|doi:10.1039/D2FD00122E
description: Related Article: Sankarsan Biswas, Sayan Banerjee, Milan A. Shlain, Andrey A. Bardin, Rein V. Ulijn, Brent L. Nannenga, Andrew M. Rappe, Adam B. Braunschweig|2022|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: 10.5517/ccdc.csd.cc2bvh90
title: CCDC 2170412: Experimental Crystal Structure Determination

description: Related Article: Caterina Zuffa, Chiara Cappuccino, Marianna Marchini, Laura Contini, Francesco Farinella, Lucia Maini|2022|Faraday Discuss.|241|448|doi:10.1039/D2FD00093H
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.cc2bvk6z
title: CCDC 2170471: Experimental Crystal Structure Determination

description: Related Article: Caterina Zuffa, Chiara Cappuccino, Marianna Marchini, Laura Contini, Francesco Farinella, Lucia Maini|2022|Faraday Discuss.|241|448|doi:10.1039/D2FD00093H
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.cc2bvk70
title: CCDC 2170472: Experimental Crystal Structure Determination

description: Related Article: Caterina Zuffa, Chiara Cappuccino, Marianna Marchini, Laura Contini, Francesco Farinella, Lucia Maini|2022|Faraday Discuss.|241|448|doi:10.1039/D2FD00093H
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.cc2bvk81
title: CCDC 2170473: Experimental Crystal Structure Determination

description: Related Article: Caterina Zuffa, Chiara Cappuccino, Marianna Marchini, Laura Contini, Francesco Farinella, Lucia Maini|2022|Faraday Discuss.|241|448|doi:10.1039/D2FD00093H
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.cc2bvk92
title: CCDC 2170474: Experimental Crystal Structure Determination

description: Related Article: Caterina Zuffa, Chiara Cappuccino, Marianna Marchini, Laura Contini, Francesco Farinella, Lucia Maini|2022|Faraday Discuss.|241|448|doi:10.1039/D2FD00093H
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.cc2bvkb3
title: CCDC 2170475: Experimental Crystal Structure Determination

description: Related Article: Caterina Zuffa, Chiara Cappuccino, Marianna Marchini, Laura Contini, Francesco Farinella, Lucia Maini|2022|Faraday Discuss.|241|448|doi:10.1039/D2FD00093H
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.cc2bvkc4
title: CCDC 2170476: Experimental Crystal Structure Determination

description: Related Article: Caterina Zuffa, Chiara Cappuccino, Marianna Marchini, Laura Contini, Francesco Farinella, Lucia Maini|2022|Faraday Discuss.|241|448|doi:10.1039/D2FD00093H
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.cc2bvkqh
title: CCDC 2170487: Experimental Crystal Structure Determination

description: Related Article: Kevin Linberg, Bettina Röder, Dominik Al-Sabbagh, Franziska Emmerling, Adam A. L. Michalchuk|2022|Faraday Discuss.|241|178|doi:10.1039/D2FD00115B
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.cc2bwcp9
title: CCDC 2171261: Experimental Crystal Structure Determination

description: Related Article: Wenyang Zhao, Zeyang Ding, Baol Li, Chunrong Chen, Houyu Zhang, Shimei Jiang|2023|Dyes Pigm.|210|111026|doi:10.1016/j.dyepig.2022.111026
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.cc2bwyry
title: CCDC 2171821: Experimental Crystal Structure Determination

description: Related Article: Subhash Garhwal, Jatin Panda, Natalia Fridman, Amir Karton, Graham de Ruiter|2022|Chem.Commun.|59|426|doi:10.1039/D2CC04394G
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.cc2bwysz
title: CCDC 2171822: Experimental Crystal Structure Determination

description: Related Article: Subhash Garhwal, Jatin Panda, Natalia Fridman, Amir Karton, Graham de Ruiter|2022|Chem.Commun.|59|426|doi:10.1039/D2CC04394G
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.cc2bxxt0
title: CCDC 2172753: Experimental Crystal Structure Determination

description: Related Article: Shuhui Ding, Yaxian Xu, Junbo Li, Xuepu Wang, Guangming Wang, Haodong Li, Shixue Ren, Kaka Zhang|2023|Dyes Pigm.|210|110984|doi:10.1016/j.dyepig.2022.110984
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.cc2bzklh
title: CCDC 2174327: Experimental Crystal Structure Determination

description: Related Article: Felix Leon, Chenfei Li, Javier F. Reynes, Varun K. Singh, Xiao Lian, How Chee Ong, Gavin Hum, Handong Sun, Felipe García|2022|Faraday Discuss.|241|63|doi:10.1039/D2FD00117A
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.cc2c169y
title: CCDC 2175899: Experimental Crystal Structure Determination

description: Related Article: Lori Gonnet, Tristan H. Borchers, Cameron B. Lennox, Jogirdas Vainauskas, Yong Teoh, Hatem M. Titi, Christopher J. Barrett, Stefan G. Koenig, Karthik Nagapudi, Tomislav Friščić|2022|Faraday Discuss.|241|128|doi:10.1039/D2FD00131D
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.