cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.8404101
title: Bayesian Surprise Predicts Human Event Segmentation in Story Listening

description: This repository contains data and code for the paper: https://psyarxiv.com/qd2ra/
The embeddings and outputs from GPT-2 are in the extract-embeddings-data.zip file.
The button press data is in the button-press-proportions.zip file. Button press measures computed using kernel density estimates are stored in files with the suffix "density".
The derived measures of disfluency are in the disfluency_measures.zip file. In this folder the files {story_name}_processed.csv contain the disfluency measures for each story.
The results from the analysis are in the results.zip and supplementary_results_kernel_density.zip files.
The code is available at https://github.com/manojneuro/bayesiansurprise
DOI: 10.5517/ccdc.csd.cc2g7pdt
title: CCDC 2271506: Experimental Crystal Structure Determination

description: Related Article: Anindita Bhowmick, Goutam Brahmachari|2023|Org.Lett.|25|7095|doi:10.1021/acs.orglett.3c02369
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.cc2gh1kl
title: CCDC 2278579: Experimental Crystal Structure Determination

description: Related Article: Maxwell Eaton, Yuping Dai, Ziyong Wang, Bo Li, Walid Lamine, Karinne Miqueu, Shih-Yuan Liu|2023|J.Am.Chem.Soc.|145|21638|doi:10.1021/jacs.3c08151
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.cc2gh1lm
title: CCDC 2278580: Experimental Crystal Structure Determination

description: Related Article: Maxwell Eaton, Yuping Dai, Ziyong Wang, Bo Li, Walid Lamine, Karinne Miqueu, Shih-Yuan Liu|2023|J.Am.Chem.Soc.|145|21638|doi:10.1021/jacs.3c08151
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.cc2ghxgc
title: CCDC 2279413: Experimental Crystal Structure Determination

description: Related Article: Anastasiya V. Agafonova, Artem A. Golubev, Ilia A. Smetanin, Alexander F. Khlebnikov, Dar’ya V. Spiridonova, Mikhail S. Novikov|2023|Org.Lett.|25|7165|doi:10.1021/acs.orglett.3c02696
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.cc2ghxkg
title: CCDC 2279416: Experimental Crystal Structure Determination

description: Related Article: Anastasiya V. Agafonova, Artem A. Golubev, Ilia A. Smetanin, Alexander F. Khlebnikov, Dar’ya V. Spiridonova, Mikhail S. Novikov|2023|Org.Lett.|25|7165|doi:10.1021/acs.orglett.3c02696
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.cc2gj7s1
title: CCDC 2279733: Experimental Crystal Structure Determination

description: Related Article: Thi Minh Chau Tran, Nang Duy Lai, Thai Thanh Thu Bui, Dinh Hung Mac, Thi Thu Tram Nguyen, Pascal Retailleau, Thanh Binh Nguyen|2023|Org.Lett.|25|7225|doi:10.1021/acs.orglett.3c02835
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.cc2gkyjj
title: CCDC 2281368: Experimental Crystal Structure Determination

description: Related Article: Cheng-Feng Gao, Yue-Ji Chen, Jing Nie, Fa-Guang Zhang, Chi Wai Cheung, Jun-An Ma|2023|Chem.Commun.|59|11664|doi:10.1039/D3CC03897A
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.cc2g06h6
title: CCDC 2264317: Experimental Crystal Structure Determination

description: Related Article: Racheal P. S. Huynh, David R. Evans, Jian Xiang Lian, Denis Spasyuk, Samira Siahrostrami, George K. H. Shimizu|2023|J.Am.Chem.Soc.|145|21263|doi:10.1021/jacs.3c05279
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.cc2gw00d
title: CCDC 2290063: Experimental Crystal Structure Determination

description: Related Article: S. Murugan, A.C. Paul, T. Khamrang, S.J. Kavitha, V. Rajakannan, M. Hemamalini|2023|IUCrData|8|x230780|doi:10.1107/S2414314623007800
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: 10.3886/e180561
title: Data and Code for: Supervised Machine Learning for Eliciting Individual Demand

description: The canonical direct-elicitation approach for measuring individuals’ valu- ations for goods is the Becker-DeGroot-Marschak procedure, which generates willingness-to-pay (WTP) values that are imprecise and systematically biased. We show that enhancing elicited WTP values with supervised machine learn- ing (SML) can improve estimates of peoples’ out-of-sample purchase behavior. Furthermore, swapping WTP data with choice data generated from a simple task leads to comparable performance. We quantify the benefit of using various SML methods in conjunction with using different types of data. Our results suggest that prices set by SML would increase revenue by 29% over using the stated WTP, with the same data.
DOI: 10.3886/e180561v1
title: Data and Code for: Supervised Machine Learning for Eliciting Individual Demand

description: The canonical direct-elicitation approach for measuring individuals’ valu- ations for goods is the Becker-DeGroot-Marschak procedure, which generates willingness-to-pay (WTP) values that are imprecise and systematically biased. We show that enhancing elicited WTP values with supervised machine learn- ing (SML) can improve estimates of peoples’ out-of-sample purchase behavior. Furthermore, swapping WTP data with choice data generated from a simple task leads to comparable performance. We quantify the benefit of using various SML methods in conjunction with using different types of data. Our results suggest that prices set by SML would increase revenue by 29% over using the stated WTP, with the same data.
DOI: 10.6084/m9.figshare.24394591.v1
title: GMxCTmax_microbiome_data

description: Gut microbiota data of wood frog larvae following early-life microbiome manipulation and exposure to a brief thermal acclimation condition.
DOI: 10.6084/m9.figshare.24316948
title: Dataset: Investigation into the causes and potential mitigation of the high incidence of farmers' suicide

description: This study addresses the pressing issue of farmer suicides in India, a problem that has escalated significantly since 1995, with over 0.3 million recorded cases. While scholars and activists have proposed various factors contributing to these suicides, quantitative insights into the influence and probabilistic significance of these factors remain elusive. <br>The dataset comprises ``Research Articles on Farmer Suicides in India''. A total of 150 articles were downloaded from Google Scholar and PubMed, utilising the search keyword ``Farmer Suicides in India''. Subsequently, meticulous scrutiny led to the selection of 87 PDF articles. The collected documents underwent conversion from .pdf to .txt format. Each PDF document was accessed via Foxit PDF reader software and then saved in .txt format. The aggregation of these 87 and manually collected causal sentences files constitutes the dataset for this study.Our analysis reveals that health-related causal factors account for over 50% of farmer suicides, while economic, social, and socio-economic factors contribute to 26%. By meticulously investigating these causal elements, our approach has the potential to substantially mitigate future instances of farmer suicides.
DOI: 10.6084/m9.figshare.24316948.v2
title: Dataset: <b>Investigation into the causes and potential mitigation of the high incidence of farmers' suicide</b>

description: This study addresses the pressing issue of farmer suicides in India, a problem that has escalated significantly since 1995, with over 0.3 million recorded cases. While scholars and activists have proposed various factors contributing to these suicides, quantitative insights into the influence and probabilistic significance of these factors remain elusive. <br>The dataset comprises ``Research Articles on Farmer Suicides in India''. A total of 150 articles were downloaded from Google Scholar and PubMed, utilising the search keyword ``Farmer Suicides in India''. Subsequently, meticulous scrutiny led to the selection of 87 PDF articles. The collected documents underwent conversion from .pdf to .txt format. Each PDF document was accessed via Foxit PDF reader software and then saved in .txt format. The aggregation of these 87 and manually collected causal sentences files constitutes the dataset for this study.Our analysis reveals that health-related causal factors account for over 50% of farmer suicides, while economic, social, and socio-economic factors contribute to 26%. By meticulously investigating these causal elements, our approach has the potential to substantially mitigate future instances of farmer suicides.
DOI: 10.57967/hf/1239
title: Ten2Zero
DOI: 10.5281/zenodo.8436408
title: Data for "Astronomical CH3+ rovibrational assignments"

description: Electronic supplementary materials for "Astronomical CH3+ rovibrational assignments" by P. B. Changala et al.
https://doi.org/10.1051/0004-6361/202347765
Contents:
"Proplyd_MIRI_MRS_stitched_on_off_atomic_cut_baseline_corrected_self_calibrated.ascii" : astronomical spectrum in wavenumbers (cm^-1)
"fit20230811.log" PGOPHER fit log for global fit of v = 0, v2/v4 dyad, and v3
"PGOPHERfiles/CH3+_simulation_esi.pgo" PGOPHER simulation file for CH3+
"PGOPHERfiles/attrib_nu2nu4_MIRIcal.obs" PGOPHER line list for v2/v4 dyad
"PGOPHERfiles/attrib_nu3_1994.obs" PGOPHER line list for v3
"PGOPHERfiles/master.obs" PGOPHER master line list
DOI: 10.5281/zenodo.8436407
title: Data for "Astronomical CH3+ rovibrational assignments"

description: Electronic supplementary materials for "Astronomical CH3+ rovibrational assignments" by P. B. Changala et al.
https://doi.org/10.1051/0004-6361/202347765
Contents:
"Proplyd_MIRI_MRS_stitched_on_off_atomic_cut_baseline_corrected_self_calibrated.ascii" : astronomical spectrum in wavenumbers (cm^-1)
"fit20230811.log" PGOPHER fit log for global fit of v = 0, v2/v4 dyad, and v3
"PGOPHERfiles/CH3+_simulation_esi.pgo" PGOPHER simulation file for CH3+
"PGOPHERfiles/attrib_nu2nu4_MIRIcal.obs" PGOPHER line list for v2/v4 dyad
"PGOPHERfiles/attrib_nu3_1994.obs" PGOPHER line list for v3
"PGOPHERfiles/master.obs" PGOPHER master line list
DOI: 10.5517/ccdc.csd.cc2gzjff
title: CCDC 2293455: Experimental Crystal Structure Determination

description: Related Article: M.A.F. Abdul Manan, D.B. Cordes, A.P. McKay, M.F. Mohammat, M.F.F. Mohd Aluwi, N.S. Jumali|2023|IUCrData|8|x230782|doi:10.1107/S2414314623007824
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.cc2h01bx
title: CCDC 2293948: Experimental Crystal Structure Determination

description: Related Article: R. Artis, C.W. Padgett, B. Quillian|2023|IUCrData|8|x230790|doi:10.1107/S2414314623007903
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: 10.34740/kaggle/dsv/6742396
title: Balochi Language to English Translation Dataset
DOI: 10.6084/m9.figshare.24394591
title: JEB_GMxCTmax_data

description: Data of wood frog larvae following early-life microbiome manipulation and exposure to a brief thermal acclimation condition. The files includes data on the starting data of all larval wood frogs, the CTmax of all larvae that underwent and survived the assay, and the gut microbiota data of bacterial ASVs. Descriptions of the dataset variables are provided in the metadata tabs in the file.Manuscript AbstractThe gut microbiota is known to influence and have regulatory effects in diverse physiological functions of host animals, but only recently has the relationship between host thermal biology and gut microbiota been explored. Here, we examined how early-life manipulations of the gut microbiota in larval amphibians influenced their critical thermal maximum (CT<sub>max</sub>) at different acclimation temperatures. We removed the resident microbiome on the outside of wild-caught wood frog (<i>Lithobates sylvaticus</i>) egg masses via an antibiotic wash, and then inoculated eggs with pond water or the intestinal microbiota of another species, green frogs (<i>L. clamitans</i>), that have a wider thermal tolerance, or provided no inoculation. We predicted that this cross-species transplant would increase the CT<sub>max</sub> of the recipient wood frog larvae relative to the other treatments. In line with this prediction, green frog-recipient larvae had the highest CT<sub>max</sub> while those with no inoculum had the lowest CT<sub>max</sub>. Both the microbiome treatment and acclimation temperature significantly influenced the larval gut microbiota communities and alpha diversity indices. Green frog inoculated larvae were enriched in Rikenellaceae relative to the other treatments, which produce short-chain fatty acids and could contribute to greater energy availability and enhanced heat tolerance. Larvae that received no inoculation had higher relative abundances of potentially pathogenic <i>Aeromonas</i> spp., which negatively affects host health and performance. Our results are the first to show that cross-species gut microbiota transplants alter heat tolerance in a predictive manner. This finding has repercussions for the conservation of species that are threatened by climate change and demonstrates a need to further explore the mechanisms by which the gut microbiota modulates host thermal tolerance.
DOI: 10.6084/m9.figshare.24394591.v2
title: GMxCTmax_data

description: Data of wood frog larvae following early-life microbiome manipulation and exposure to a brief thermal acclimation condition. The files includes data on the starting data of all larval wood frogs, the CTmax of all larvae that underwent and survived the assay, and the gut microbiota data of bacterial ASVs. Descriptions of the dataset variables are provided in the metadata tabs in the file.
DOI: 10.5281/zenodo.10012825
title: YourMT3+ restricted datasets (new)
DOI: 10.5281/zenodo.10012826
title: YourMT3+ restricted datasets (new)
DOI: 10.5281/zenodo.8311665
title: A Comprehensive Dataset of Surface Deformation Satellite Maps of The Valley of Toluca, Mexico

description: A dataset of 1121 ground deformation maps of the Toluca Valley (VT) in Mexico is presented. The given deformation maps cover the VT ground evolution over eight years, from October 2014 to December 2022.
The VT is located within the State of Mexico between the coordinates of 19°03' to 19°35' north latitude and 99°19' to 99°54' west latitude. The highest altitude point of the VT is the volcano "Nevado de Toluca or Xinantécatl" which is 4,340 meters above sea level. In comparison, the rest of the valley has an average elevation of 2640 meters above sea level.  The soil of the VT is mainly composed of Andosols, Feozems, Vertisols, Luvisols, and Cambisols.
For generating the deformation maps, 240 radar images obtained by the Sentinel 1-A and Sentinel 1-B satellites were used. From these 240 radar images, 2169 pairs of images were formed with a temporal difference of 1, 3, 6, and 12 months. The Differential Interferometric Synthetic Aperture Radar technique was applied to these pairs using SNAP software, resulting in 2169 deformation maps in BEAM-DIMAP format. However, due to limited storage space, only 1121 maps with a coherence greater than 0.299 are presented. Complimentary, a CSV file with the deformation map statistics is also provided.
DOI: 10.5281/zenodo.8311666
title: A Comprehensive Dataset of Surface Deformation Satellite Maps of The Valley of Toluca, Mexico

description: A dataset of 1121 ground deformation maps of the Toluca Valley (VT) in Mexico is presented. The given deformation maps cover the VT ground evolution over eight years, from October 2014 to December 2022.
The VT is located within the State of Mexico between the coordinates of 19°03' to 19°35' north latitude and 99°19' to 99°54' west latitude. The highest altitude point of the VT is the volcano "Nevado de Toluca or Xinantécatl" which is 4,340 meters above sea level. In comparison, the rest of the valley has an average elevation of 2640 meters above sea level.  The soil of the VT is mainly composed of Andosols, Feozems, Vertisols, Luvisols, and Cambisols.
For generating the deformation maps, 240 radar images obtained by the Sentinel 1-A and Sentinel 1-B satellites were used. From these 240 radar images, 2169 pairs of images were formed with a temporal difference of 1, 3, 6, and 12 months. The Differential Interferometric Synthetic Aperture Radar technique was applied to these pairs using SNAP software, resulting in 2169 deformation maps in BEAM-DIMAP format. However, due to limited storage space, only 1121 maps with a coherence greater than 0.299 are presented. Complimentary, a CSV file with the deformation map statistics is also provided.
DOI: 10.6084/m9.figshare.24395098
title: Data for Measuring Visual Ability in Linguistically Diverse Populations

description: We adapted the 3 Novel Object Memory Tests (NOMTs) from Richler et al. (2017), with novel categories called Greebles, Ziggerins and Sheinbugs. We created a new version with Spanish instructions. Part 1 is a study randomly assigning Spanish-English bilinguals to one of the versions, and Part 1 is a comparison of the first 2 tests (G & Z) in each language, separately. Participants were tested on Prolific.
DOI: 10.6084/m9.figshare.24395098.v2
title: Data for Measuring Visual Ability in Linguistically Diverse Populations

description: We adapted the 3 Novel Object Memory Tests (NOMTs) from Richler et al. (2017), with novel categories called Greebles, Ziggerins and Sheinbugs. We created a new version with Spanish instructions. Part 1 is a study randomly assigning Spanish-English bilinguals to one of the versions, and Part 1 is a comparison of the first 2 tests (G & Z) in each language, separately. Participants were tested on Prolific.
DOI: 10.6084/m9.figshare.24393040
title: Supplemental Table 1: Experimentally validated resistors and capacitors for each circuit element

description: The values depicted in this table indicate the values validated by a digital multimeter. For each circuit element, the closest available resistor or capacitor to the rounded values described in the methods section of the main paper was selected from the list below.
DOI: 10.6084/m9.figshare.24393337
title: Supplemental Table 2: Impact of railing on parameter estimation error.

description: Quantification of errors, as calculated by equation (8), observed in 3P-EIS when one of the fitted circuit elements was within 1% of the upper fitting boundary, termed as "railing." Each column is devoted to a particular parameter that exhibited railing. The table also explores how such railing influences the accuracy of estimating other circuit elements specific to the epithelial model under study in Fig. 1C. All data are presented as median and interquartile range (IQR) percentages.
DOI: 10.57967/hf/1240
title: Ultrasound_planewave_sos_inversion
DOI: 10.5281/zenodo.10001628
title: Structural Adaptation of Fungal Cell Wall in Hypersaline Environment

description: The unprocessed ssNMR data files generated in this study "Structural Adaptation of Fungal Cell Wall in Hypersaline Environment" have been deposited in Zenodo. Here we employ solid-state NMR spectroscopy to compare the cell wall architecture of Aspergillus sydowii across salinity gradients.
DOI: 10.5281/zenodo.10001627
title: Structural Adaptation of Fungal Cell Wall in Hypersaline Environment

description: The unprocessed ssNMR data files generated in this study "Structural Adaptation of Fungal Cell Wall in Hypersaline Environment" have been deposited in Zenodo. Here we employ solid-state NMR spectroscopy to compare the cell wall architecture of Aspergillus sydowii across salinity gradients.
DOI: 10.5281/zenodo.8437087
title: Data for PARSE (Derry & Altman 2023)

description: Data accompanying the paper "Proteome-scale function annotation with residue-level explainability using local protein structure embeddings" by Derry & Altman (2023).
DOI: 10.5281/zenodo.8437086
title: Data for PARSE (Derry & Altman 2023)

description: Data accompanying the paper "Proteome-scale function annotation with residue-level explainability using local protein structure embeddings" by Derry & Altman (2023).
DOI: 10.17909/k7y9-yp18
title: GALEX observations of NGC 300