cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3886/e130285v1-143164
title: Data and Code for: "Money and Politics: The Effects of Campaign Spending Limits on Political Entry and Competition"

description: Data and code accompanying "Money and Politics: The Effects of Campaign Spending Limits on Political Entry and Competition".<br><br>Abstract: This paper studies the effects of campaign spending limits on the political entry, selection, and behavior of local politicians in Brazil. We analyze a reform that limits campaign spending for mayoral elections. The limits were implemented with a discontinuity that we exploit for causal identification. We find that stricter limits reduce reelection rates and increase political competition by attracting more candidates who are also less wealthy and rely less on self-financing. Despite their effects on electoral outcomes, stricter limits did not lead to significant short-run improvements in policy outcomes, such as in education and health.<br><br>
description: Brazilian municipalities<br>.
DOI: 10.6084/m9.figshare.23895945.v1
title: 2.5-D Local Hybrid Simulations of Hot Flow Anomaly Formations with Tangential Discontinuity-Directed Electric Fields on Both Sides

description: This dataset contains the results of local hybrid simulation runs of a hot flow anomaly formed by the interaction of a tangential discontinuity with a planar shock. The cone angle change on either side of the tangential discontinuity is -15° and 15°. The dataset includes ion densities, ion temperatures, magnetic field components, ion bulk flow components, electric field components, and current density components. The data is saved as Fortran Unformatted Binary files. For questions regarding the data, please contact atvu@alaska.edu.
DOI: 10.6084/m9.figshare.24588936
title: Customized decision-making support per location’s characteristics of spatial accessibility: a case study of healthcare resources in New York City

description: Dynamic spatial accessibility, incorporating temporal dimension into spatial accessibility measurements, is in the spotlight because of significant temporal variations in urban phenomena (e.g., traffic congestion or floating population). Despite its importance, there are two significant gaps, particularly in existing healthcare access literature: 1) lack of consideration of the dynamic nature of spatial accessibility, and 2) limited support of dynamic spatial accessibility for practical policymaking. Our study aims to improve the measurements of spatial accessibility with time-dependent data and summarize their temporal sequences for effective decision-making support. Specifically, we measure hourly changes in spatial accessibility to healthcare resources in New York City with a Gaussian two-step floating catchment area (G2SFCA) method. We then employ sequence analysis to detect and cluster unique temporal changes observed in the measures of accessibility. Our results reveal that each location provides distinct temporal changes in their healthcare accessibility owing to the dynamic urban phenomena. In addition, we find that places can be grouped into 14 clusters based on the combination of temporal changes (i.e., stationary and non-stationary) and the different levels (e.g., high, moderate, or low) of accessibility. Therefore, our findings can support flexible policy implications for the various needs of locations. For example, to have better accessibility, certain areas could extend the operating hours of their existing healthcare resources, or other locations should be provided with additional hospitals in place. Given that decision-making is often based on limited resources, our study sheds light on how to make optimal allocation of healthcare resources to effectively reduce inequality of access.
DOI: 10.6084/m9.figshare.24588975
title: Turkish strain Colorado potato beetle transcriptome

description: The transcriptome of turkish strain Colorado potato beetle
DOI: 10.5517/ccdc.csd.cc2c9sfx
title: CCDC 2184149: Experimental Crystal Structure Determination

description: Related Article: Cornelia von Baeckmann, Sara Ruiz-Relaño, Inhar Imaz, Marcel Handke, Judith Juanhuix, Felipe Gándara, Arnau Carné-Sanchez, Daniel Maspoch|2023|Chem.Commun.|59|3423|doi:10.1039/D2CC06815J
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/7005244
title: (COVID-19) (Daily Updates)
DOI: 10.5281/zenodo.10157519
title: Respostas ao questionário Utilização de LLM no desenvolvimento de código de programação

description: Respostas ao questionário "Utilização de LLM no desenvolvimento de código de programação"
DOI: 10.5281/zenodo.10157520
title: Respostas ao questionário Utilização de LLM no desenvolvimento de código de programação

description: Respostas ao questionário "Utilização de LLM no desenvolvimento de código de programação"
DOI: 10.5281/zenodo.10157512
title: Dataset: Analysis of Multidimensional Energy Poverty in the Carmen Soler Community - Limpio, Republic of Paraguay

description: "Analysis of Multidimensional Energy Poverty in the Carmen Soler Community - Limpio, Republic of Paraguay"
CHILECON 2023 - https://site.ieee.org/chilesur/ieee-chilecon-2023/
---
En el marco del trabajo de referencia, los autores ponemos a disposición de los lectores la base de datos utilizada para el cálculo del Índice de Pobreza Energética Multidimensional (MEPI) para el caso de estudio. 

MEPI_CarmenSoler_Data_2018_CHILECON2023.xlsx
En el archivo, podrán encontrar los extraídos de los resultados de la encuesta realizada en el 2018 por un equipo de investigadores paraguayos (En el artículo podrán encontrar más información). Además de los datos, podrán ver todos los pasos y cálculos llevados a cabo para obtener los resultados obtenidos. 
El material fue puesto a disposición de todos los interesados para fines académicos y científicos. 
Atte. 
Los autores. 
---
DOI: 10.5281/zenodo.10157513
title: Dataset: Analysis of Multidimensional Energy Poverty in the Carmen Soler Community - Limpio, Republic of Paraguay

description: "Analysis of Multidimensional Energy Poverty in the Carmen Soler Community - Limpio, Republic of Paraguay"
CHILECON 2023 - https://site.ieee.org/chilesur/ieee-chilecon-2023/
---
En el marco del trabajo de referencia, los autores ponemos a disposición de los lectores la base de datos utilizada para el cálculo del Índice de Pobreza Energética Multidimensional (MEPI) para el caso de estudio. 

MEPI_CarmenSoler_Data_2018_CHILECON2023.xlsx
En el archivo, podrán encontrar los extraídos de los resultados de la encuesta realizada en el 2018 por un equipo de investigadores paraguayos (En el artículo podrán encontrar más información). Además de los datos, podrán ver todos los pasos y cálculos llevados a cabo para obtener los resultados obtenidos. 
El material fue puesto a disposición de todos los interesados para fines académicos y científicos. 
Atte. 
Los autores. 
---
DOI: 10.5281/zenodo.10157608
title: kaggle-whats-cooking

description: Overview
Hypergraph where nodes are food ingredients, hyperedges are recipes made from combining multiple ingredients, and categories indicate cuisine (e.g., "Southern-US", "Indian", "Spanish").  Some summary statistics of the hypergraph are:

Number of nodes: 6,714
Number of hyperedges: 39,774
Number of edge label categories: 20
Maximum hyperedge size: 65
Source of original data
Sources:

cat-edge-Cooking.zip
"What's Cooking?" Kaggle competition
Yummly
References
If you use this data, please cite the following paper:

Clustering in graphs and hypergraphs with categorical edge labels. Ilya Amburg, Nate Veldt, and Austin R. Benson. Proceedings of the Web Conference (WWW), 2020.
DOI: 10.5281/zenodo.10157609
title: kaggle-whats-cooking

description: Overview
Hypergraph where nodes are food ingredients, hyperedges are recipes made from combining multiple ingredients, and categories indicate cuisine (e.g., "Southern-US", "Indian", "Spanish").  Some summary statistics of the hypergraph are:

Number of nodes: 6,714
Number of hyperedges: 39,774
Number of edge label categories: 20
Maximum hyperedge size: 65
Source of original data
Sources:

cat-edge-Cooking.zip
"What's Cooking?" Kaggle competition
Yummly
References
If you use this data, please cite the following paper:

Clustering in graphs and hypergraphs with categorical edge labels. Ilya Amburg, Nate Veldt, and Austin R. Benson. Proceedings of the Web Conference (WWW), 2020.
DOI: 10.6084/m9.figshare.24589056
title: Data for "A critical analysis of chemical and electrochemical oxidation mechanisms in Li-ion batteries"

description: This dataset contains structural and thermochemical data generated for the manuscript "A critical analysis of chemical and electrochemical oxidation mechanisms in Li-ion batteries" (to be submitted).Data for molecular clusters and molecules in energy diagrams are distributed as a JavaScript Object Notation (JSON)-formatted file ec_ox_o2_data.json. ec_ox_o2_data.json contains the structures (as serialized Pymatgen Molecule objects) and thermochemical properties of the reaction endpoints and TS reported in this work. For species that appear in energy diagrams (Figures 2-4), the corresponding key in ec_ox_o2_data.json is the name of the species as reported in the main text. For instance, the data for TS2 would be found under the key "TS2". EC2 is listed as "EC2", and the oxidation product cluster ((EC+H)+ + (EC-H)) is listed as "EC2oxproduct".All data was generated using the Q-Chem electronic structure code. The ωB97X-V/def2-TZVPPD level of theory was used, with solvent effects treated implicitly by the Solvent Model with Density (SMD), parameterized to represent a 3:7 ethylene carbonate (EC):ethyl methyl carbonate (EMC) mixture.To load this data in Python, use monty (https://github.com/materialsvirtuallab/monty):from monty.serialization import loadfndata = loadfn("ec_ox_o2_data.json")
DOI: 10.6084/m9.figshare.24589056.v1
title: Data for "A critical analysis of chemical and electrochemical oxidation mechanisms in Li-ion batteries"

description: This dataset contains structural and thermochemical data generated for the manuscript "A critical analysis of chemical and electrochemical oxidation mechanisms in Li-ion batteries" (to be submitted).Data for molecular clusters and molecules in energy diagrams are distributed as a JavaScript Object Notation (JSON)-formatted file ec_ox_o2_data.json. ec_ox_o2_data.json contains the structures (as serialized Pymatgen Molecule objects) and thermochemical properties of the reaction endpoints and TS reported in this work. For species that appear in energy diagrams (Figures 2-4), the corresponding key in ec_ox_o2_data.json is the name of the species as reported in the main text. For instance, the data for TS2 would be found under the key "TS2". EC2 is listed as "EC2", and the oxidation product cluster ((EC+H)+ + (EC-H)) is listed as "EC2oxproduct".All data was generated using the Q-Chem electronic structure code. The ωB97X-V/def2-TZVPPD level of theory was used, with solvent effects treated implicitly by the Solvent Model with Density (SMD), parameterized to represent a 3:7 ethylene carbonate (EC):ethyl methyl carbonate (EMC) mixture.To load this data in Python, use monty (https://github.com/materialsvirtuallab/monty):from monty.serialization import loadfndata = loadfn("ec_ox_o2_data.json")
DOI: 10.5517/ccdc.csd.cc2d451s
title: CCDC 2208534: Experimental Crystal Structure Determination

description: Related Article: Yi Zhang, Ran-Qi Chen, San-Tai Wang, Ya-Jie Liu, Wei-Hui Fang, Jian Zhang|2023|Chem.Commun.|59|3411|doi:10.1039/D2CC06524J
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.cc2d450r
title: CCDC 2208533: Experimental Crystal Structure Determination

description: Related Article: Yi Zhang, Ran-Qi Chen, San-Tai Wang, Ya-Jie Liu, Wei-Hui Fang, Jian Zhang|2023|Chem.Commun.|59|3411|doi:10.1039/D2CC06524J
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.6084/m9.figshare.24589053
title: Unprocessed data for two separate collections of cross peak specific 2D IR measurements of aggregated hIAPP.

description: Unprocessed data for two separate collections of cross peak specific 2D IR measurements of aggregated hIAPP. One dataset was collected in February 2022 and the other dataset was collected in March 2022.Also included are the MATLAB data processing code and the probe frequency calibration files for processing included data.
DOI: 10.6084/m9.figshare.24589053.v1
title: Unprocessed data for two separate collections of cross peak specific 2D IR measurements of aggregated hIAPP.

description: Unprocessed data for two separate collections of cross peak specific 2D IR measurements of aggregated hIAPP. One dataset was collected in February 2022 and the other dataset was collected in March 2022.Also included are the MATLAB data processing code and the probe frequency calibration files for processing included data.
DOI: 10.5281/zenodo.10157487
title: Not available

description: This VCF file contains SNPs derived from 30 individuals of the Mergus octosetaceus species. The data was obtained using the Genotyping by Sequencing (GBS) methodology and processed through the Stacks de novo pipeline.
DOI: 10.5281/zenodo.10157488
title: Not available

description: This VCF file contains SNPs derived from 30 individuals of the Mergus octosetaceus species. The data was obtained using the Genotyping by Sequencing (GBS) methodology and processed through the Stacks de novo pipeline.
DOI: 10.5281/zenodo.10157719
title: Benchmark data for shotgun metagenomics
DOI: 10.5281/zenodo.10157718
title: Benchmark data for shotgun metagenomics
DOI: 10.6084/m9.figshare.19150842
title: Exploring the transcriptome signature associated with tolerance to <i>Penicillium expansum</i> in apple through feature selection algorithms and differential gene expression analysis

description: <i>Penicillium expansum</i> is one of the most destructive post-harvest pathogens that causes fruit spoilage in apple. This study explored the molecular response of apple to this pathogen via microarray data mining based on attribute weighting algorithms (AWAs), differential expression and pathway analyses, and multivariate statistical analysis. A total of 124 probe sets were identified by at least one AWA and these yielded 29 genes with significantly differential expression. Leave-one-out cross-validation showed that the 29-gene signature could differentiate resistant (R) and susceptible (S) cultivars with 98.65% accuracy, with most of the genes showing significant expression changes in these cultivars at 1 week post-inoculation (wpi). Many genes encoding hydrolases, reductases and proteins with zinc-finger domains showed an increased expression in the R cultivars. In particular, disease resistance protein CC-NBS-LRR, resistance-related protein E3-ubiquitin and cuticle wax biosynthesis genes displayed increased expression, especially in R cultivars at 1 and 6 wpi. The secondary metabolite biosynthesis pathway, metabolic pathway and amino acid biosynthesis pathway were commonly upregulated in both R and S cultivars, but with a greater intensity in R cultivars, while the flavonoid biosynthesis pathway was downregulated in the S cultivars at 1 h post-inoculation. This study identifies candidate targets for developing resistant cultivars.
DOI: 10.6084/m9.figshare.19205162
title: Genotypic by phenotypic interaction affects the heritability and relationship among quantity and quality traits of strawberry (<i>Fragaria × ananassa</i>)

description: The success of plant breeding depends on diversity in plant genetic resources and their responses to changing environments. Accordingly, 20 strawberry genotypes with diverse genetic background were evaluated for their performance under different environments based on the estimation of their genetic variability and heritability. The results showed that environmental factors have great influences on changing the size of the measured traits. Also, a high heritability and genetic variation detected for yield and its components showed a strong potential for improvement among the strawberry genotypes and being considered as raw materials in breeding programs. Biplot and heatmap, in line with the clustering, showed to be key methods for finding the structural association among genotypes and traits. Cluster analysis showed that the genotypes originating from the same geographic area were not necessarily placed in the same clusters which could be due to the environmental variability and the different responses of the genotypes coming from altered genetic materials. The overall results regarding multivariate analyses showed that genotypes Kurdistan, Queen Elisa and No.14 could be considered as a cluster with high similarity for being crossed by other genotypes in the clusters such as groups of Pajaro and Chandler, or the group of Selva and Gaviota.
DOI: 10.6084/m9.figshare.19205162.v1
title: Genotypic by phenotypic interaction affects the heritability and relationship among quantity and quality traits of strawberry (<i>Fragaria × ananassa</i>)

description: The success of plant breeding depends on diversity in plant genetic resources and their responses to changing environments. Accordingly, 20 strawberry genotypes with diverse genetic background were evaluated for their performance under different environments based on the estimation of their genetic variability and heritability. The results showed that environmental factors have great influences on changing the size of the measured traits. Also, a high heritability and genetic variation detected for yield and its components showed a strong potential for improvement among the strawberry genotypes and being considered as raw materials in breeding programs. Biplot and heatmap, in line with the clustering, showed to be key methods for finding the structural association among genotypes and traits. Cluster analysis showed that the genotypes originating from the same geographic area were not necessarily placed in the same clusters which could be due to the environmental variability and the different responses of the genotypes coming from altered genetic materials. The overall results regarding multivariate analyses showed that genotypes Kurdistan, Queen Elisa and No.14 could be considered as a cluster with high similarity for being crossed by other genotypes in the clusters such as groups of Pajaro and Chandler, or the group of Selva and Gaviota.
DOI: 10.26186/149078
title: AHO Reference Surfaces Cairns 0.5m 2023 (20230011R)

description: The Cairns Reference Surfaces bathymetry survey was acquired for the Australian Hydrographic Office (AHO) on 27 May 2020. This surface was created from a contracted national reference survey in Cairns QLD, collected for the purpose of calibrating multibeam echosounders. It was conducted for the Australian Hydrographic Office as part of the Hydroscheme Industry Partnership Program, acquired using R2Sonic 2022, and processed using Caris HIPS & SIPS. Seperate grids in 0.5m resolution are provided for the three surveyed sites within this survey area in MSL, LAT and Ellipsoid vertical datum. The dataset was then exported as a 0.5m resolution, 32 bit floating point GeoTIFF grid of the survey area.This dataset is not to be used for navigational purposes.
DOI: 10.34740/kaggle/dsv/7005631
title: Forex Exchange Rates Since 2004 (Updated Daily)
DOI: 10.34740/kaggle/dsv/7005636
title: Top Spotify Songs in 73 Countries (Daily Updated)
DOI: 10.25345/c5x63bg7w
title: MassIVE MSV000093430 - FVL2GNPS-Newthermo project-Chromato first fractionation
title: Foeniculum vulgare metabobolomic characterization of divers species collected in 6 regions.
DOI: 10.34740/kaggle/dsv/7005649
title: Trending Youtube Video Statistics (113 Countries)
DOI: 10.26186/149077
title: AHO Reference Surfaces Torres Strait 0.5m 2023 (20230014R)

description: The Torres Strait Reference Surfaces bathymetry survey was acquired for the Australian Hydrographic Office (AHO) on 12 Dec 2021. This surface was created from a contracted national reference survey between Goods Island and Goods Island cardinal mark, and Tuesday Island and the Herald Patches QLD, collected for the purpose of calibrating multibeam echosounders. It was conducted for the Australian Hydrographic Office as part of the Hydroscheme Industry Partnership Program, acquired using Kongsberg EM2040D, and processed using QPS Qimera. Seperate grids in 0.5m resolution are provided for the two surveyed sites within this survey area in MSL, LAT and Ellipsoid vertical datum. The dataset was then exported as a 0.5m resolution, 32 bit floating point GeoTIFF grid of the survey area.This dataset is not to be used for navigational purposes.
DOI: 10.25919/6hpt-xm71
title: CotLeaf-2: Cotton Leaf Surface Images dataset 2021-23

description: This dataset is a collection of 810 images of cotton leaf surfaces acquired with a hand-held microscope to develop deep learning models for leaf hairiness and assist Cotton breeders in their variety selection efforts. These images were collected from 27 genotypes grown across 2 seasons (2021-2022 and 2022-2023), one site (Australian Cotton Research Institute, -30.21, 149.60, Narrabri, NSW, Australia) and two growth conditions (Field [both years] and Glasshouse [2021-2022]). Genotypes have been anonymized to protect germplasm Intellectual Property.
DOI: 10.25919/s9re-8674
title: Genetic mapping and characterization of Verticillium Wilt resistance in a recombinant inbred population of Upland cotton

description: Abstract: Verticillium wilt (VW) is an important and widespread disease of cotton and once established is long lived and difficult to manage. In Australia, the non-defoliating pathotype of Verticillium dahliae is the most common and extremely virulent. Breeding cotton varieties with increased VW resistance is the most economical and effective method of controlling this disease, and is greatly aided by understanding the genetics of resistance. In this study VW resistance was investigated in 240 F7 recombinant inbred lines (RIL) derived from a cross between MCU-5 that has good resistance and Siokra 1-4 which is susceptible. Using a controlled environment bioassay, resistance based on plant survival or shoot biomass was complex but with major contributions from chromosomes D03 and D09. with genomic prediction analysis estimating a prediction value of 0.73 based on survival scores compared to 0.36 for shoot biomass. Transcriptome analysis of MCU-5 and Siokra 1-4 roots infected with VW revealed that the two cultivars displayed very different root transcriptomes. Cross checking between differentially expressed genes that are located to the mapped resistance regions, identified 104 potential candidates associated with VW resistance.