cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3886/e135081v1
title: Data and Code for: Learning on the Job and the Cost of Business Cycles

description: We show that business cycles reduce welfare through a decrease in the average level of employment in a labor market search model with learning on-the-job and skill loss during unemployment. Empirically, unemployment and the job finding rate are negatively correlated. Since new jobs are the product of these two from the employment transition equation, business cycles imply fewer news jobs. Learning on-the-job implies that the resulting decrease in employment reduces aggregate human capital. This reduces incentives to post vacancies, further decreasing employment and human capital. We quantify this mechanism and find large output and welfare costs of business cycles.
description: Adult humans.
description: All data sets used are publicly available with the exception of job finding rate data provided by Shigeru Fujita. This dataset is is generated using Current Population Survey data, which are publicly available.
DOI: 10.21954/ou.rd.21222026
title: Trophic State Predictions Pathways

description: Data relating to the thesis: Constraining Microbial Community Composition, Structure, and Function Within Acidic Geothermal Springs on São Miguel Island <br> All of the data associated with pathways detected within each of the genomes used for the trophic statemodel construction <br> This data was generated using Gapseq and is described in Chapter 4 of the thesis
DOI: 10.21954/ou.rd.21222026.v1
title: Trophic State Predictions Pathways

description: Data relating to the thesis: Constraining Microbial Community Composition, Structure, and Function Within Acidic Geothermal Springs on São Miguel Island <br> All of the data associated with pathways detected within each of the genomes used for the trophic statemodel construction <br> This data was generated using Gapseq and is described in Chapter 4 of the thesis
DOI: 10.5281/zenodo.7101559
title: Pre-processed AMR data on S. aureus isolates from PATRIC database

description: Pre-processed AMR data on S. aureus isolates from PATRIC database. The majority class size was decreased to reach the class ratio of 1:1 when the susceptible/resistant or resistant/susceptible class ratio exceeded 3.5.
DOI: 10.5281/zenodo.7101558
title: Pre-processed AMR data on S. aureus isolates from PATRIC database

description: Pre-processed AMR data on S. aureus isolates from PATRIC database. The majority class size was decreased to reach the class ratio of 1:1 when the susceptible/resistant or resistant/susceptible class ratio exceeded 3.5.
DOI: 10.21954/ou.rd.21222020
title: Trophic State Prediction Transporters

description: Data relating to the thesis: Constraining Microbial Community Composition, Structure, and Function Within Acidic Geothermal Springs on São Miguel Island <br> All of the data associated with transporters detected within each of the genomes used for the trophic statemodel construction <br> This data was generated using Gapseq and is described in Chapter 4 of the thesis
DOI: 10.21954/ou.rd.21222020.v1
title: Trophic State Prediction Transporters

description: Data relating to the thesis: Constraining Microbial Community Composition, Structure, and Function Within Acidic Geothermal Springs on São Miguel Island <br> All of the data associated with transporters detected within each of the genomes used for the trophic statemodel construction <br> This data was generated using Gapseq and is described in Chapter 4 of the thesis
DOI: 10.34740/kaggle/dsv/4267815
title: 2021 World Population (updated daily)
DOI: 10.6084/m9.figshare.20382996
title: Advancing traditional strategies for testing hydrological model fitness in a changing climate

description: Mitigation of adverse effects of global warming relies on accurate flow projections under climate change. These projections usually focus on changes in hydrological signatures, such as 100-year floods, which are estimated through statistical analyses of simulated flows under baseline and future conditions. However, models used for these simulations are traditionally calibrated to reproduce entire flow series, rather than statistics of hydrological signatures. Here, we consider this dichotomy by testing whether performance indicators (e.g. Nash-Sutcliffe coefficient) are informative about model ability to reproduce distributions and trends in the signatures. Results of streamflow simulations in 50 high-latitude catchments with the 3DNet-Catch model show that high model performances according to traditional indicators do not provide assurance that distributions or trends in hydrological signatures are well reproduced. We therefore suggest that performance in reproducing distributions and trends in hydrological signatures should be included in the process of model selection for climate change impact studies.
DOI: 10.6084/m9.figshare.20382996.v2
title: Advancing traditional strategies for testing hydrological model fitness in a changing climate

description: Mitigation of adverse effects of global warming relies on accurate flow projections under climate change. These projections usually focus on changes in hydrological signatures, such as 100-year floods, which are estimated through statistical analyses of simulated flows under baseline and future conditions. However, models used for these simulations are traditionally calibrated to reproduce entire flow series, rather than statistics of hydrological signatures. Here, we consider this dichotomy by testing whether performance indicators (e.g. Nash-Sutcliffe coefficient) are informative about model ability to reproduce distributions and trends in the signatures. Results of streamflow simulations in 50 high-latitude catchments with the 3DNet-Catch model show that high model performances according to traditional indicators do not provide assurance that distributions or trends in hydrological signatures are well reproduced. We therefore suggest that performance in reproducing distributions and trends in hydrological signatures should be included in the process of model selection for climate change impact studies.
DOI: 10.21954/ou.rd.21221609
title: 16S rRNA Raw Sequences

description: Data relating to the thesis: Constraining Microbial Community Composition, Structure, and Function Within Acidic Geothermal Springs on São Miguel Island <br> These are thee raw sequence data generated from the sequencing of 16S rRNA amplicons generated by extracting DNA from the hot spring samples described in the thesis.
DOI: 10.21954/ou.rd.21221609.v1
title: 16S rRNA Raw Sequences

description: Data relating to the thesis: Constraining Microbial Community Composition, Structure, and Function Within Acidic Geothermal Springs on São Miguel Island <br> These are thee raw sequence data generated from the sequencing of 16S rRNA amplicons generated by extracting DNA from the hot spring samples described in the thesis.
DOI: 10.21954/ou.rd.21221765
title: Metagenome Biofilm Raw Sequence Data

description: Data relating to the thesis: Constraining Microbial Community Composition, Structure, and Function Within Acidic Geothermal Springs on São Miguel Island <br> This is the FastQ file consisting of the raw sequence data with base pairs and their associated quality score. <br> This is the data used in Chapter 5 to investigate the community composition and structure of the biofilm community.
DOI: 10.21954/ou.rd.21221765.v1
title: Metagenome Biofilm Raw Sequence Data

description: Data relating to the thesis: Constraining Microbial Community Composition, Structure, and Function Within Acidic Geothermal Springs on São Miguel Island <br> This is the FastQ file consisting of the raw sequence data with base pairs and their associated quality score. <br> This is the data used in Chapter 5 to investigate the community composition and structure of the biofilm community.
DOI: 10.18112/openneuro.ds004197.v1.0.4
title: Bimodal dataset on Inner speech
DOI: 10.14459/2022mp1657312
title: MDAS: A New Multimodal Benchmark Dataset for Remote Sensing

description: In Earth observation, multimodal data fusion is an intuitive strategy to break the limitation of individual data. Complementary physical contents of data sources allow comprehensive and precise information retrieve. Future applications will have many options on data sources. Such privilege can be beneficial only if algorithms are ready to work with various data sources. However, current data fusion studies mostly focus on the fusion of two data sources. Thus, we provide the community a benchmark multimodal data set, MDAS, for the city of Augsburg, Germany. MDAS includes synthetic aperture radar (SAR) data, multispectral image, hyperspectral image, digital surface model (DSM), and geographic information system (GIS) data. All these data are collected on the same date, 7th May 2018. MDAS is a new benchmark data set that provides researchers rich options on data selections. We run experiments for three typical remote sensing applications, namely, resolution enhancement, spectral unmixing, and land cover classification, on MDAS data set. Our experiments demonstrate the performance of representative state-of-the-art algorithms whose outcomes can sever as baselines for further studies
DOI: 10.21954/ou.rd.21222089
title: Carbon Monoxide Oxidation Protein HMMs

description: Data relating to the thesis: Constraining Microbial Community Composition, Structure, and Function Within Acidic Geothermal Springs on São Miguel Island <br> This contains the latest version of each of the HMMs constructed to detect the different proteins associated with carbon monoxide oxidation
DOI: 10.21954/ou.rd.21222095
title: PFAM False positives for Carbon Monoxide HMMs

description: Data relating to the thesis: Constraining Microbial Community Composition, Structure, and Function Within Acidic Geothermal Springs on São Miguel Island <br> These are PFAM proteins associated to PFAM families that are known to give false positives for proteins that are sssociated with carbon monoxide oxidation. <br> These were used to determine the specificity of the carbon monoxide HMMs constructed.
DOI: 10.21954/ou.rd.21222095.v1
title: PFAM False positives for Carbon Monoxide HMMs

description: Data relating to the thesis: Constraining Microbial Community Composition, Structure, and Function Within Acidic Geothermal Springs on São Miguel Island <br> These are PFAM proteins associated to PFAM families that are known to give false positives for proteins that are sssociated with carbon monoxide oxidation. <br> These were used to determine the specificity of the carbon monoxide HMMs constructed.
DOI: 10.25416/ntr.21130323.v2
title: Exploring the Open Mic Guidelines & Template

description: Drawing on reflections and experience of organising and hosting two open mic events and performing at a rnage of open mic events, the guidelines and template in this document are designed to support others to create their own open mic events in their own context successfully.
DOI: 10.5517/ccdc.csd.cc21zz89
title: CCDC 1906601: Experimental Crystal Structure Determination

description: Related Article: Mustafa Çeşme|2023|J.Mol.Struct.|1271|134073|doi:10.1016/j.molstruc.2022.134073
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.cc21zz9b
title: CCDC 1906602: Experimental Crystal Structure Determination

description: Related Article: Mustafa Çeşme|2023|J.Mol.Struct.|1271|134073|doi:10.1016/j.molstruc.2022.134073
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.cc2d0s07
title: CCDC 2205278: Experimental Crystal Structure Determination

description: Related Article: Jiha Sung|2022|IUCrData|7|x220885|doi:10.1107/S2414314622008859
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.7128767
title: Changes in the acoustic structure of Australian bird communities along a habitat complexity gradient

description: Avian vocalizations have evolved in response to a variety of abiotic and biotic selective pressures. While there is some support for signal convergence in similar habitats that is attributed to adaptation to the acoustic properties of the environment (the ‘acoustic adaptation hypothesis’, AAH), there is also evidence for character displacement as result of competition for signal space among coexisting species (the ‘acoustic niche partitioning hypothesis’). We explored the acoustic space of avian assemblages distributed along six different habitat types (from herbaceous habitats to warm rainforests) in south eastern Queensland, Australia. We employed three acoustic diversity indices (acoustic richness, evenness, and divergence) to characterize the signal space. In addition, we quantified the phylogenetic and morphological structure (in terms of both body mass and beak size) of each community. Acoustic parameters showed a moderately low phylogenetic signal, indicating labile evolution. Although, we did not find meaningful differences in acoustic diversity indices among habitat categories, there was a significant relationship between the regularity component (evenness) and vegetation height indicating that acoustic signals are more evenly distributed in dense habitats. After accounting for differences in species richness, the volume of acoustic space (i.e., acoustic richness) decreased as the level of phylogenetic and morphological resemblance among species in a given community increased. Additionally, we found a significantly negative relationship between acoustic divergence and divergence in body mass indicating that the less different species are in their body mass, the more different their songs are likely to be. This implies the existence of acoustic niche partitioning at community level. Overall, while we found mixed support for the AAH, our results suggest that community-level effects may play a role in structuring acoustic signals within avian communities in this region. This study shows that signal diversity estimated by diversity metrics of community ecology based on basic acoustic parameters can provide additional insight into the structure of animal vocalizations. <br>
DOI: 10.5281/zenodo.7128766
title: Changes in the acoustic structure of Australian bird communities along a habitat complexity gradient

description: Avian vocalizations have evolved in response to a variety of abiotic and biotic selective pressures. While there is some support for signal convergence in similar habitats that is attributed to adaptation to the acoustic properties of the environment (the ‘acoustic adaptation hypothesis’, AAH), there is also evidence for character displacement as result of competition for signal space among coexisting species (the ‘acoustic niche partitioning hypothesis’). We explored the acoustic space of avian assemblages distributed along six different habitat types (from herbaceous habitats to warm rainforests) in south eastern Queensland, Australia. We employed three acoustic diversity indices (acoustic richness, evenness, and divergence) to characterize the signal space. In addition, we quantified the phylogenetic and morphological structure (in terms of both body mass and beak size) of each community. Acoustic parameters showed a moderately low phylogenetic signal, indicating labile evolution. Although, we did not find meaningful differences in acoustic diversity indices among habitat categories, there was a significant relationship between the regularity component (evenness) and vegetation height indicating that acoustic signals are more evenly distributed in dense habitats. After accounting for differences in species richness, the volume of acoustic space (i.e., acoustic richness) decreased as the level of phylogenetic and morphological resemblance among species in a given community increased. Additionally, we found a significantly negative relationship between acoustic divergence and divergence in body mass indicating that the less different species are in their body mass, the more different their songs are likely to be. This implies the existence of acoustic niche partitioning at community level. Overall, while we found mixed support for the AAH, our results suggest that community-level effects may play a role in structuring acoustic signals within avian communities in this region. This study shows that signal diversity estimated by diversity metrics of community ecology based on basic acoustic parameters can provide additional insight into the structure of animal vocalizations. <br>
DOI: 10.6084/m9.figshare.21253143
title: Carbon related data of a two-year garden mesocosm approach with low-P forest soil and European beech saplings

description: Data and Methodology are described in detail in Herschbach, C., Samuilov, S., Kalio, M. K., Schramm, C., Krüger, J., Löw, C. A. E., ... & Lang, F. (2022). Seasonally driven internal P and N nutrient (re) cycling strategies of beech saplings are element specific. <em>Environmental and Experimental Botany</em>, <em>199</em>, 104894.
DOI: 10.6084/m9.figshare.21253143.v2
title: Carbon related data of a two-year garden mesocosm approach with low-P forest soil and European beech saplings

description: Data and Methodology are described in detail in Herschbach, C., Samuilov, S., Kalio, M. K., Schramm, C., Krüger, J., Löw, C. A. E., ... & Lang, F. (2022). Seasonally driven internal P and N nutrient (re) cycling strategies of beech saplings are element specific. <em>Environmental and Experimental Botany</em>, <em>199</em>, 104894.
DOI: 10.6084/m9.figshare.21253143.v1
title: Carbon related data of a two-year garden mesocosm approach with low-P forest soil and European beech saplings

description: Data and Methodology are described in detail in Herschbach, C., Samuilov, S., Kalio, M. K., Schramm, C., Krüger, J., Löw, C. A. E., ... & Lang, F. (2022). Seasonally driven internal P and N nutrient (re) cycling strategies of beech saplings are element specific. <em>Environmental and Experimental Botany</em>, <em>199</em>, 104894.
DOI: 10.21954/ou.rd.21222113
title: Validation for Carbon Monoxide HMMs

description: Data relating to the thesis: Constraining Microbial Community Composition, Structure, and Function Within Acidic Geothermal Springs on São Miguel Island <br> This is a set of proteins used to validate the HMM models constructed in the thesis. <br> These proteins are known to be actively involved in carbon monoxide oxidation.
DOI: 10.21954/ou.rd.21222113.v1
title: Validation for Carbon Monoxide HMMs

description: Data relating to the thesis: Constraining Microbial Community Composition, Structure, and Function Within Acidic Geothermal Springs on São Miguel Island <br> This is a set of proteins used to validate the HMM models constructed in the thesis. <br> These proteins are known to be actively involved in carbon monoxide oxidation.
DOI: 10.21954/ou.rd.21222173.v1
title: Uniprot IDs for Carbon Monoxide HMMs

description: Data relating to the thesis: Constraining Microbial Community Composition, Structure, and Function Within Acidic Geothermal Springs on São Miguel Island <br> These are the Uniprot IDs used to construct each of the HMMs for carbon monoxide oxidation described in this thesis. <br> Note that in the thesis each of these were concatonated as it was not possible to construct HMMs that distinguished between variants (cdhA1 vs. cdhA2). <br> Therefore all the cdhA protein ids used can be generated by concatonating these files (cdhA1 + cdhA2 + cdhA3 = cdhA) <br> <br>
DOI: 10.21954/ou.rd.21222173
title: Uniprot IDs for Carbon Monoxide HMMs

description: Data relating to the thesis: Constraining Microbial Community Composition, Structure, and Function Within Acidic Geothermal Springs on São Miguel Island <br> These are the Uniprot IDs used to construct each of the HMMs for carbon monoxide oxidation described in this thesis. <br> Note that in the thesis each of these were concatonated as it was not possible to construct HMMs that distinguished between variants (cdhA1 vs. cdhA2). <br> Therefore all the cdhA protein ids used can be generated by concatonating these files (cdhA1 + cdhA2 + cdhA3 = cdhA) <br> <br>
DOI: 10.6084/m9.figshare.21253251
title: Anonymous data radial head - 10.10.2020.xlsx

description: Mobility, pain, X-ray evolution of patients after Radial Head System (DePuy Synthes), a radial head prosthesis withdrawn from the market due to high rate of stem loosening
DOI: 10.6084/m9.figshare.21253251.v1
title: Anonymous data radial head - 10.10.2020.xlsx

description: Mobility, pain, X-ray evolution of patients after Radial Head System (DePuy Synthes), a radial head prosthesis withdrawn from the market due to high rate of stem loosening
DOI: 10.21954/ou.rd.21222218
title: Carbon Monoxide Oxidases HMM validation results

description: Data relating to the thesis: Constraining Microbial Community Composition, Structure, and Function Within Acidic Geothermal Springs on São Miguel Island <br> This contains the following: <br> 1. Code used to loop through files and generate the HMM results that are summarised in (2) <br> 2. The raw data summarizing the scores for different false and true positives on the HMMs constructed to detect carbon monoxide oxidases
DOI: 10.21954/ou.rd.21222218.v1
title: Carbon Monoxide Oxidases HMM validation results

description: Data relating to the thesis: Constraining Microbial Community Composition, Structure, and Function Within Acidic Geothermal Springs on São Miguel Island <br> This contains the following: <br> 1. Code used to loop through files and generate the HMM results that are summarised in (2) <br> 2. The raw data summarizing the scores for different false and true positives on the HMMs constructed to detect carbon monoxide oxidases
DOI: 10.21954/ou.rd.21222227
title: MetaAcc Simulation Data

description: Data relating to the thesis: Constraining Microbial Community Composition, Structure, and Function Within Acidic Geothermal Springs on São Miguel Island <br> This contains the following: <br> 1. Concatonated fasta files of the mix/bacteria/archaea sets that were used to generate the simulated metagenomes to test the effectiveness of the novel method <br> 2. Coverage files that were used to generate the reads simulating the metagenomes <br> 3. The results of the simulation
DOI: 10.21954/ou.rd.21222227.v1
title: MetaAcc Simulation Data

description: Data relating to the thesis: Constraining Microbial Community Composition, Structure, and Function Within Acidic Geothermal Springs on São Miguel Island <br> This contains the following: <br> 1. Concatonated fasta files of the mix/bacteria/archaea sets that were used to generate the simulated metagenomes to test the effectiveness of the novel method <br> 2. Coverage files that were used to generate the reads simulating the metagenomes <br> 3. The results of the simulation
DOI: 10.21954/ou.rd.21222254
title: Gapseq Transporter Data

description: Data relating to the thesis: Constraining Microbial Community Composition, Structure, and Function Within Acidic Geothermal Springs on São Miguel Island <br> This is the data of the transporters identified by gapseq for each of the high-quality metagenome-assembled-genomes constructed in Chapter 5 of the thesis