cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.8010147
title: Database on Phases New PCMs

description: The PHEMTRONICS project database (D2.7) provides an account of the structural and optical properties and some thermodynamic data of the novel phase-change materials Gallium sulfide (GaS) and Antimony sulfide (Sb2S3), in their amorphous and polycrystalline states. This database, informed by data obtained through spectroscopic ellipsometry and Raman spectroscopy, consists of optical properties of these materials at room temperature and the temperature dependence of those optical properties determined by in-situ ellipsometric monitoring of heating experiments. In addition, the database also contains Raman spectra as structural information. This resource aims to assist researchers and engineers working with phase change materials and contributes to the development of advanced optical devices, aligning with the goals of the PHEMTRONICS project.
DOI: 10.5281/zenodo.8010146
title: Database of New Phase Change Materials

description: Database of structural and optical properties of Gallium sulfide (GaS), Antimony sulfide (Sb2S3), Gallium Selenide (GaSe), Selenium (Se), and Molybdenum oxide (MoOx) thin film phase change materials. Contains Raman spectra and room temperature optical constants from spectroscopic ellipsometry for amorphous and polycrystalline phases. Also includes temperature dependent optical constants measured in-situ during thermal annealing to induce crystallization. Thin films fabricated by chemical vapor deposition, exfoliation, and solution processing methods. Provided by the PHEMTRONICS project (Deliverable 2.7).
DOI: 10.6073/pasta/cbb5a96608f5080be978be269db8df14
title: Physical and Chemical Characteristics of Soil Sediments from the Shark River Slough and Taylor Slough, Everglades National Park (FCE LTER), Florida, USA, August 2004 - ongoing

description: These data represent the results of annual soil sampling and analysis from all 17 FCE LTER transect locations from Year 2004 thru ongoing. Surface soils from 0-10 cm have been homogenized and analyzed from Sawgrass and mangrove sites and Florida Bay sites. Soils and sediments were analyzed for a suite of physical/chemical variables, including bulk density, organic matter content, extractable iron, AVS and CRS sulfur, and various forms of extractable phosphorus. These analyses are completed to document the differences in soil structure among transect sites, and to provide a baseline dataset against which long-term changes in the physical/chemical properties of the soils can be detected.
DOI: 10.5281/zenodo.8377358
title: Datset and scripts for "Systematic occurrence cycle of typical RH-profiles during the MJO: evidence for ubiquitous pre-moistening"

description: This repository contains data and scripts for the GRL paper: <strong>Systematic occurrence cycle of typical RH-profiles during the MJO: evidence for ubiquitous pre-moistening</strong> by Carsten Abraham, Colin Goldblatt, and Adrian Matthews. The <strong>data </strong>directory holds postprocessed data for the plots. The <strong>scripts</strong> directory holds the scripts to produce plots in the paper. The clustering and information about the raw data can be retrieved from https://journals.ametsoc.org/view/journals/atsc/79/9/JAS-D-21-0270.1.xml and https://journals.ametsoc.org/view/journals/atsc/aop/JAS-D-22-0119.1/JAS-D-22-0119.1.xml
DOI: 10.5281/zenodo.8377357
title: Datset and scripts for "Systematic occurrence cycle of typical RH-profiles during the MJO: evidence for ubiquitous pre-moistening"

description: This repository contains data and scripts for the GRL paper: <strong>Systematic occurrence cycle of typical RH-profiles during the MJO: evidence for ubiquitous pre-moistening</strong> by Carsten Abraham, Colin Goldblatt, and Adrian Matthews. The <strong>data </strong>directory holds postprocessed data for the plots. The <strong>scripts</strong> directory holds the scripts to produce plots in the paper. The clustering and information about the raw data can be retrieved from https://journals.ametsoc.org/view/journals/atsc/79/9/JAS-D-21-0270.1.xml and https://journals.ametsoc.org/view/journals/atsc/aop/JAS-D-22-0119.1/JAS-D-22-0119.1.xml
DOI: 10.5519/qd.a1133jkz
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (7 records)
DOI: 10.5281/zenodo.8349763
title: Genomic vulnerability of a freshwater salmonid under climate change

description: Understanding the adaptive potential of populations and species is pivotal for minimizing the loss of biodiversity in this era of rapid climate change. Adaptive potential has been estimated in various ways, including based on levels of standing genetic variation, presence of potentially beneficial alleles, and/or severity of environmental change. Kokanee salmon, the non-migratory ecotype of sockeye salmon (<em>Oncorhynchus nerka</em>), is culturally and economically important, and has already been impacted by the effects of climate change. To assess its climate vulnerability moving forward, we integrated analyses of standing genetic variation, genotype-environment associations and climate modeling based on sequence and structural genomic variation from 224 whole genomes sampled from 22 lakes from British Columbia and Yukon (Canada). We found that variables for extreme temperatures, particularly warmer temperatures, had the most pervasive signature of selection in the genome and were the strongest predictors of levels of standing variation and of putatively adaptive genomic variation, both sequence and structural. Genomic offset estimates, a measure of climate vulnerability, were significantly correlated with higher increases in extreme warm temperatures, further highlighting the risk of summer heat waves that are predicted to increase in frequency in the future. Levels of standing genetic variation, an important metric for population viability and resilience, were not correlated with genomic offset. Nonetheless, our combined approach highlights the importance of integrating different sources of information and genomic data to formulate more comprehensive and accurate predictions on the vulnerability of populations and species to future climate change.
DOI: 10.5281/zenodo.8349762
title: Genomic vulnerability of a freshwater salmonid under climate change

description: Understanding the adaptive potential of populations and species is pivotal for minimizing the loss of biodiversity in this era of rapid climate change. Adaptive potential has been estimated in various ways, including based on levels of standing genetic variation, presence of potentially beneficial alleles, and/or severity of environmental change. Kokanee salmon, the non-migratory ecotype of sockeye salmon (<em>Oncorhynchus nerka</em>), is culturally and economically important, and has already been impacted by the effects of climate change. To assess its climate vulnerability moving forward, we integrated analyses of standing genetic variation, genotype-environment associations and climate modeling based on sequence and structural genomic variation from 224 whole genomes sampled from 22 lakes from British Columbia and Yukon (Canada). We found that variables for extreme temperatures, particularly warmer temperatures, had the most pervasive signature of selection in the genome and were the strongest predictors of levels of standing variation and of putatively adaptive genomic variation, both sequence and structural. Genomic offset estimates, a measure of climate vulnerability, were significantly correlated with higher increases in extreme warm temperatures, further highlighting the risk of summer heat waves that are predicted to increase in frequency in the future. Levels of standing genetic variation, an important metric for population viability and resilience, were not correlated with genomic offset. Nonetheless, our combined approach highlights the importance of integrating different sources of information and genomic data to formulate more comprehensive and accurate predictions on the vulnerability of populations and species to future climate change.
DOI: 10.5519/qd.sx3nqoqv
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (16 records)
DOI: 10.5281/zenodo.7250435
title: Data for "Accelerating equilibrium spin-glass simulations using quantum annealers via generative deep learning"

description: Datasets and material for replicating plots and results from the paper "Accelerating equilibrium spin-glass simulations using quantum annealers via generative deep learning" SciPost Phys. 15, 018 (2023). You will find three data files and a ReadMe.txt: <strong>couplings.tar.gz </strong>contains the random couplings of the system's Hamiltonian \(H = \sum_{\langle ij \rangle}{J_{ij} \sigma_i \sigma_j}\); <strong>datasets.tar.gz </strong>contains all the datasets generated by the D-Wave quantum computer. They are already split into train and validation and divided for the type of model and annealing time; <strong>data_for_fig.tar.gz </strong>contains files for reproducing the plots of the article, almost all of them are saved in double format, .csv and .npy or .npz. We encourage you to download the GitHub code linked below to open all the listed data. All the data are zip, so to unzip them using <pre><code class="language-bash">tar -xvf datasets.tar.gz</code></pre> The code for training the Neural Networks and reproducing all the results is open access at zenodo.7118502.
description: This work was also partially supported by the PNRR MUR project PE0000023-NQSTI.
DOI: 10.5281/zenodo.7250436
title: Data for "Accelerating equilibrium spin-glass simulations using quantum annealers via generative deep learning"

description: Datasets and material for replicating plots and results from the paper "Accelerating equilibrium spin-glass simulations using quantum annealers via generative deep learning" SciPost Phys. 15, 018 (2023). You will find three data files and a ReadMe.txt: <strong>couplings.tar.gz </strong>contains the random couplings of the system's Hamiltonian \(H = \sum_{\langle ij \rangle}{J_{ij} \sigma_i \sigma_j}\); <strong>datasets.tar.gz </strong>contains all the datasets generated by the D-Wave quantum computer. They are already split into train and validation and divided for the type of model and annealing time; <strong>data_for_fig.tar.gz </strong>contains files for reproducing the plots of the article, almost all of them are saved in double format, .csv and .npy or .npz. We encourage you to download the GitHub code linked below to open all the listed data. All the data are zip, so to unzip them using <pre><code class="language-bash">tar -xvf datasets.tar.gz</code></pre> The code for training the Neural Networks and reproducing all the results is open access at zenodo.7118502.
description: This work was also partially supported by the PNRR MUR project PE0000023-NQSTI.
DOI: 10.6084/m9.figshare.24194367
title: Datasets.xlsx

description: Datasets containing data regarding forearm fractures in Sweden stratified per sex, age and month.
DOI: 10.6084/m9.figshare.24194376
title: Pelvic Pain Experience Survey 2021.xls

description: Data from a cross-sectional survey regarding the subjective pelvic pain experience of the general US population.
DOI: 10.6084/m9.figshare.24194376.v1
title: Pelvic Pain Experience Survey 2021.xls

description: Data from a cross-sectional survey regarding the subjective pelvic pain experience of the general US population.
DOI: 10.3886/e194043
title: ISPAN Early Care and Education Facility Survey on Nutrition and Physical Activity Environments and Practices

description: This repeated cross-sectional survey was designed and fielded by researchers at the University of Illinois Chicago in collaboration with the Illinois Public Health Institute (IPHI) and the Illinois Network of Child Care Resource and Referral Agencies (INCCRRA), in order to capture nutrition and physical-activity related environments and practices and professional development and training activities of early childcare and education sites throughout Illinois.
description: Illinois early childhood education centers and family day care homes.
DOI: 10.3886/e194043v1
title: ISPAN Early Care and Education Facility Survey on Nutrition and Physical Activity Environments and Practices

description: This repeated cross-sectional survey was designed and fielded by researchers at the University of Illinois Chicago in collaboration with the Illinois Public Health Institute (IPHI) and the Illinois Network of Child Care Resource and Referral Agencies (INCCRRA), in order to capture nutrition and physical-activity related environments and practices and professional development and training activities of early childcare and education sites throughout Illinois.
description: Illinois early childhood education centers and family day care homes.
DOI: 10.15482/usda.adc/1529604
title: Data from: TaqMan-based duplex real-time PCR approach for analysis of grain composition (Zea mays - Sorghum bicolor) in feedstock flour mixes for bioethanol production

description: Some U.S bioethanol plants use a blend of maize and sorghum grains as feedstocks depending on availability and price. Knowledge of the grain composition of milled feedstock is beneficial for maximizing process efficiency and for potential future regulatory requirements. To analyze feedstock composition, we developed a duplex real-time PCR assay based on TaqMan™ probes for the simultaneous analysis of flour blends. For sorghum, the method amplified a sequence within the F-Box domain-containing protein and for maize, the method amplified a sequence of the high mobility group a (HMGa) proteins. To acquire fluorescent signals simultaneously, FAM and TAMRA fluorescent probes were used to label the sorghum- and maize- specific probes, respectively. Results showed that the primers and probes were highly specific either for maize or sorghum. The real-time duplex PCR assay was validated on simulated flour binary mixtures and high in the precision and accuracy for the sorghum PCR system. Results with the established method showed specificity and sensitivity in quantifying sorghum composition in bioethanol feedstock mixtures.
Resources in this dataset:


Resource title: Primer sets used
File name: Table 1 1.jpg


Resource title: Experimental setup
File name: experiemntal set ups Real time PCR project Sorgh-Maize.xlsx


Resource title: Multiplex data HMGa and FBox
File name: 2022-01-24 multiplex FBox - HMGa 60 C 200nM.xls
Resource description: Data and analysis of sorhum maize and miusxtures using HMGa and FBox genes


Resource title: multiplex FBox HMGa flour mixes 60 C
File name: 2022-02-22 multiplex FBox HMGa flour mixes 60 C 11 points.xls
Resource description: PCR multiplex data FBox HMGa flour mixes 60 C


Resource title: Standard curves for zein DNA HMGa gene
File name: 2022-01-11 Hmga - Zein X07535 standard curves.xls
Resource description: Standard curves for zein DNA HMGa gene detection
DOI: 10.5517/ccdc.csd.cc2ck3qs
title: CCDC 2191195: Experimental Crystal Structure Determination

description: Related Article: Ozana Mišura, Mateja Pisačić, Mladen Borovina, Marijana Đaković|2023|Cryst.Growth Des.|23|1318|doi:10.1021/acs.cgd.2c01397
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.cc2fd1xt
title: CCDC 2245916: Experimental Crystal Structure Determination

description: Related Article: Shichong Wang, Huayan Xu, Ruoyu Zhang, Siyu Zhang, Yun Chai, Bingchuan Yang, Jingjing Zhao, Yuanqing Xu, Pan Li|2023|Org.Lett.|25|6746|doi:10.1021/acs.orglett.3c02653
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.cc2fd220
title: CCDC 2245921: Experimental Crystal Structure Determination

description: Related Article: Shichong Wang, Huayan Xu, Ruoyu Zhang, Siyu Zhang, Yun Chai, Bingchuan Yang, Jingjing Zhao, Yuanqing Xu, Pan Li|2023|Org.Lett.|25|6746|doi:10.1021/acs.orglett.3c02653
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.cc2fvl85
title: CCDC 2259877: Experimental Crystal Structure Determination

description: Related Article: Hanalei R. Lewine, Allison G. Teigen, April M. Trausch, Kaitlyn M. Lindblom, Takele Seda, Eric W. Reinheimer, Tim Kowalczyk, John D. Gilbertson|2023|Inorg.Chem.|62|15173|doi:10.1021/acs.inorgchem.3c02323
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.cc2fvl96
title: CCDC 2259878: Experimental Crystal Structure Determination

description: Related Article: Hanalei R. Lewine, Allison G. Teigen, April M. Trausch, Kaitlyn M. Lindblom, Takele Seda, Eric W. Reinheimer, Tim Kowalczyk, John D. Gilbertson|2023|Inorg.Chem.|62|15173|doi:10.1021/acs.inorgchem.3c02323
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/e177641v1-141790
title: Code for: Temporal Instability of Risk Preference Among the Poor: Evidence from Payday Cycles

description: The poor live paycheck to paycheck and are repeatedly exposed to strong cyclical income fluctuations. We investigate whether such income fluctuations affect their risk preference. If risk preference temporarily changes around payday, optimal decisions made before payday may no longer be optimal afterward, which could reinforce poverty. By exploiting Social Security payday cycles in the US, we find that the poor relying heavily on Social Security become more risk tolerant before payday. More than cognitive decline before payday, the deterioration of mental health and relative deprivation are likely to play a role. We find similar evidence among the Japanese elderly.
DOI: 10.5517/ccdc.csd.cc2g4jdk
title: CCDC 2268468: Experimental Crystal Structure Determination

description: Related Article: Paru Jamwal, Akashdeep Sharma, Ramani Gurubrahamam|2023|Org.Lett.|25|6607|doi:10.1021/acs.orglett.3c01994
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.8303211
title: Source data for Ordouie, E. et al. Differential phase-diversity electrooptic modulator for cancellation of fiber dispersion and laser noise.

description: The experimental data and primary simulation results.
DOI: 10.5281/zenodo.8303210
title: Source data for Ordouie, E. et al. Differential phase-diversity electrooptic modulator for cancellation of fiber dispersion and laser noise.

description: The experimental data and primary simulation results.
DOI: 10.6084/m9.figshare.24188712
title: 660007717_PhD-Thesis_Appendix4_Section7.4.13_OverlapSFARIGenesandRNASeqDatasets

description: Appendix 4, Section 7.4.13 of J. Gandawijaya's PhD thesis.
DOI: 10.6084/m9.figshare.24188712.v2
title: 660007717_PhD-Thesis_Appendix4_Section7.4.13_OverlapSFARIGenesandRNASeqDatasets

description: Appendix 4, Section 7.4.13 of J. Gandawijaya's PhD thesis.
DOI: 10.6084/m9.figshare.24188712.v1
title: 660007717_PhD-Thesis_Appendix4_Section7.4.13_OverlapSFARIGenesandRNASeqDatasets

description: Appendix 4, Section 7.4.13 of J. Gandawijaya's PhD thesis.
DOI: 10.5281/zenodo.8377538
title: Cyprus buildings, roads, powerlines

description: Temporary.
DOI: 10.5281/zenodo.8377537
title: Cyprus buildings, roads, powerlines

description: Temporary.
DOI: 10.57830/2299578
title: SCPN Aquatic Macroinvertebrate Data Package for 2007-2021

description: Data in this package were collected from 2007-2019 as part of the Southern Colorado Plateau Network's long-term aquatic macroinvertebrate monitoring program. Data and subsequent analyses can be found in Cross References.
DOI: 10.5066/p9uxwi30
title: North American duck populations and the Central U.S. hunters who hunt them

description: This data file is in long format, comprising time series of hunter abundance and behavior and duck abundance. Hunter information varies by administrative flyway (Mississippi and Central), whereas duck population abundance is summarized for both the Prairie Pothole Region and the continent. Duck information for the Prairie Pothole Region is for the U.S. portion only (Strata 41-49 of the May waterfowl survey) and for 12 duck species, mallard, American wigeon, blue-winged teal, canvasback, gadwall, lesser and greater scaup, green-winged teal, northern pintail, northern shoveler, redhead, ring-necked duck, and ruddy duck.