cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/sw5py9b23y.1
title: Codes for the article “What explains monetary policy rate uncertainty? Evidence from the Americas”

description: These codes help to replicate all the empirical analysis in the article: “What explains monetary policy rate uncertainty? Evidence from the Americas”, Applied Economics Letters (revise and resubmit), authored by Ana Aguilar, Carlos Madeira, Alejandro Parada, Christian Upper (Bank for International Settlements).

The Stata codes use Consensus Economics monthly survey reports with forecasts for countries in the Americas. These forecasts were collected as a Stata dataset, but the files cannot be shared due to copyright concerns. Future users must collect their own Consensus Forecasts data and then use these codes to replicate the empirical analysis of the article.

The data also includes an online appendix with robustness exercises to the main article. These robustness exercises estimate the same uncertainty models, but without the past quarter's inflation rate and GDP growth as additional controls. The results are qualitatively similar to the main article.
DOI: 10.17632/hktp4p86c6.1
title: Base de datos. CARETIME análisis longitudinal antes y después de pandemia COVID-19

description: Existen diferencia en la carga laboral de enfermería antes y después de pandemia por COVID-19
DOI: 10.17632/3s7gxpx86v.1
title: Quito air quality during the electrical crisis 2023-2024 Ecuador

description: This dataset has all atmospheric parameters measured in Quito, Ecuador: 
date 
average_daily_NO2 (ug/m3) 
average_daily_SO2 (ug/m3) 
average_daily_CO (mg/m3) 
average_daily_O3 (ug/m3) 
average_daily_PM2.5 (ug/m3) 
Cummulative_daily_rain (mm) 
average_daily_Temperature (C) 
average_daily_Solar Radiation (W/m2) 
average_daily_Wind Speed (m/s) 
average_daily_Relative Humidity (%)
DOI: 10.17632/ypd87fncjg.1
title: Dataset_PV_Plant_DIE_UdeC_Chile_2019_to_2023

description: This database contains on-site measurements of meteorological and electrical variables from a 2560W rooftop PV plant located at the University of Concepción’s Engineering Faculty. The data, spanning from March 2019 to March 2023 with 1-minute intervals, was collected and maintained by the university.
DOI: 10.17632/gkxw34jzdf.1
title: Adapting Agriculture to Climate Change: A Bibliometric Review of Climate-Smart Agriculture, Identifying Opportunities and Challenges

description: Global climate change puts pressure on agricultural systems, which, in turn, contribute to climate change through greenhouse gas emissions. Climate-smart agriculture (CSA) aims to address the dual challenges by enhancing productivity, resilience, and GHG reduction. This review provides a bibliometric analysis of CSA research trends from 2013 to 2023, based on 997 documents from the Web of Science, using CiteSpace and VOSviewer. It covers publication trends, subject categories, journals, authors, affiliations, and geographic distributions. Additionally, detailed analyses of keywords, clusters, and citation bursts were performed to identify research hotspots and future research directions. The findings indicate that rapid growth in CSA research since 2018, with Environmental Sciences as the leading category.The fundamental knowledge of CSA research encompasses economics, politics, plant, ecology and zoology. Early studies focused on CSA frameworks, while recent research emphasizes resource efficiency, soil health, and methane emissions. By identifying critical insights into development and key areas for future research, this analysis provides a foundational understanding essential for advancing CSA practices to effectively address the intricate challenges posed by climate change in the agricultural sector.
DOI: 10.17632/s86kr78xfp.1
title: Supplemental Material: Risk of Infections During Treatment with Oral Janus Kinase Inhibitors in Randomized Placebo-Controlled Trials: A Systematic Review and Meta-Analysis

description: Supplemental Material for "Risk of Infections During Treatment with Oral Janus Kinase Inhibitors in Randomized Placebo-Controlled Trials: A Systematic Review and Meta-Analysis" published in JAAD International.
DOI: 10.17632/yvpk7bh7bh.1
title: Supplementary File: Exploring the Intersection of Food Literacy and Consumer Research

description: This file provides the evidence for and validates the outcomes of the study "Exploring the Intersection of Food Literacy and Consumer Research: A Review, Conceptualisation, and Agenda for Sustainability-Focused Research."
DOI: 10.17632/g8cjn34bvs.1
title: Data for IScience Energy Burden

description: GAM_Top100: the top 100 models for the GAMs
GAM_LOCO: the LOCO results for the GAMs.
RF_Top100: the top 100 models for the random forest
RF_LOCO: the LOCO results for the random forest.
DOI: 10.17632/kjmc7dg5ny.3
title: The effect of age on D20, D40 and live foal rates in the Clydesdale mare

description: Anonymized farm data from a study researching the effects of age on pregnancy and live foal rates in Clydesdale mares. 'AOS_data_NHT_V2.xlsx' contains same data as 'Clydesdale_repro_data_AOS_V3.xlsx' minus mares who had been treated with hormones, and was simplified for statistical analysis. 'Rcode_clydesdale_AOS_V2' contains the code to run the statistical analysis from the study.
DOI: 10.17632/kjmc7dg5ny.1
title: The effect of age on D20, D40 and live foal rates in the Clydesdale mare

description: Anonymized farm data from a study researching the effects of age on pregnancy and live foal rates in Clydesdale mares.
DOI: 10.17632/kjmc7dg5ny.2
title: The effect of age on D20, D40 and live foal rates in the Clydesdale mare

description: Anonymized farm data from a study researching the effects of age on pregnancy and live foal rates in Clydesdale mares. 'AOS_data_NHT.xlsx' contains same data as 'Clydesdale_repro_data_AOS_V2_revised.xlsx' minus mares who had been treated with hormones.
DOI: 10.17632/kjmc7dg5ny.4
title: The effect of age on D20, D40 and live foal rates in the Clydesdale mare

description: Anonymized farm data from a study researching the effects of age on pregnancy and live foal rates in Clydesdale mares. 'Clydesdale_repro_data_AOS_V3.xlsx' contains the anonymized raw dataset gathered from 12 stud farms in Canada, Scotland and USA for this study. 'AOS_data_NHT_V2.xlsx' contains most of the same dataset as 'Clydesdale_repro_data_AOS_V3.xlsx' minus mares who had been treated with hormones, and was simplified for statistical analysis. 'Rcode_clydesdale_AOS_V3.txt' contains the code to run the statistical analysis from the study and instructions on which parameters need to be updated to run the program properly on your system.

'METADATA_FINAL.docx' contains tables of variables and definitions used in each of the other files in this repository.
DOI: 10.17632/8jr5mhw25s.1
title: Dataset on the effect of composting on bacterial communities in poultry litter generated using conventional and organic production systems

description: This dataset includes the standard files deposited in the NCBI database, including the spreadsheet with sample data (MIMARKS survey soil), the genetic sequences in fasta format (Fasta Merged Files), and the association file (biosample assignment).
DOI: 10.17632/vbbc5psvyp.1
title: Ten Recommendations for Literature Data Generation for Chemical Process Optimization in Renewable Feedstock Conversion

description: Process development of recyclable and renewable feedstocks entails intensive and tedious catalyst and solvent screening and multiparameter process exploration. The solid nature of these feedstocks necessitates highly time-consuming, batch experiments, leading to limited published datasets. Our ability to rapidly advance process development requires a systematic approach to the simultaneous optimization of catalysts, solvents, and processing conditions. One approach toward this goal is to harness and analyze accumulated literature data to develop performance-process correlations. With this goal, we study a prototype biomass reaction, the fructose dehydration to 5-hydroxymethyl furfural (HMF) over zeolite catalysts. We explore literature data to optimize the vast descriptor space of zeolite characteristics, solvents, and process conditions using correlation analysis. We assess the quality of reported literature data and identify where provenance is lacking. We develop apparent kinetic analysis to correlate performance with solvent and catalyst properties. We showcase that solvents and to an extent processing conditions dominate HMF yield; in contrast, zeolites play a secondary role for this chemistry. We provide ten recommendations for improving this methodology to extract further knowledge and improve process optimization.
DOI: 10.6084/m9.figshare.27138798
title: Soil pooling often, but not always, alters the impacts of plant-microbe interactions on plant growth

description: <i>Aims</i><i> </i>The study of plant-microbe interactions has become a foundational research focus of plant ecology. A recurring issue for this area is whether soil pooling introduces bias when quantifying the local soil microbial interactions experienced by plants.<i>Methods</i> To address this issue, we exposed nine herbaceous species to field-collected soil inocula that were either pooled or kept separate in a greenhouse study with autoclaved controls. We determined whether pooling altered the strength, direction, or variance of plant-microbe impacts on plant growth and whether pooling changed which species were most responsive to soil microbes.<i>Results</i><i> </i>Sample pooling, compared to individual samples, significantly altered the strength of plant-microbe interactions in four of nine herbaceous species, but the direction of the effect varied. Pooling reduced microbial inhibition of growth in two species, reversed the direction from negative to positive in another, and generated a positive interaction in the fourth. The patterns of microbial impacts on growth across species were strongly altered, leading to no correlation between results generated by pooled and unpooled soils. Contrary to expectations, variances were typically higher in pooled soils. These differences nearly disappeared in autoclaved soils, suggesting soil microbes as the driving factor.<i>Conclusions</i><i> </i>While neither universal nor predictable, sample pooling to generate experimental inocula altered the strength, direction, and variance of microbial impacts on plant growth in several species. This effect occurred often enough that researchers must carefully weigh whether pooled samples are appropriate in addressing their research questions.
DOI: 10.6084/m9.figshare.27138798.v1
title: Soil pooling often, but not always, alters the impacts of plant-microbe interactions on plant growth

description: <i>Aims</i><i> </i>The study of plant-microbe interactions has become a foundational research focus of plant ecology. A recurring issue for this area is whether soil pooling introduces bias when quantifying the local soil microbial interactions experienced by plants.<i>Methods</i> To address this issue, we exposed nine herbaceous species to field-collected soil inocula that were either pooled or kept separate in a greenhouse study with autoclaved controls. We determined whether pooling altered the strength, direction, or variance of plant-microbe impacts on plant growth and whether pooling changed which species were most responsive to soil microbes.<i>Results</i><i> </i>Sample pooling, compared to individual samples, significantly altered the strength of plant-microbe interactions in four of nine herbaceous species, but the direction of the effect varied. Pooling reduced microbial inhibition of growth in two species, reversed the direction from negative to positive in another, and generated a positive interaction in the fourth. The patterns of microbial impacts on growth across species were strongly altered, leading to no correlation between results generated by pooled and unpooled soils. Contrary to expectations, variances were typically higher in pooled soils. These differences nearly disappeared in autoclaved soils, suggesting soil microbes as the driving factor.<i>Conclusions</i><i> </i>While neither universal nor predictable, sample pooling to generate experimental inocula altered the strength, direction, and variance of microbial impacts on plant growth in several species. This effect occurred often enough that researchers must carefully weigh whether pooled samples are appropriate in addressing their research questions.
DOI: 10.15468/dl.v6qebz
title: Occurrence Download

description: A dataset containing 167125 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Festuca pratensis Huds."
 ]
}

 The dataset includes 167125 records from 849 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036712-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5517/ccdc.csd.cc24syjf
title: CCDC 1990185: Experimental Crystal Structure Determination

description: Related Article: Atrayee Banaspati, Md Kausar Raza, Tridib K. Goswami|2020|Eur.J.Med.Chem.|204|112632|doi:10.1016/j.ejmech.2020.112632
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.cc24v304
title: CCDC 1991285: Experimental Crystal Structure Determination

description: Related Article: Shun Ohta, Yurika Iwabuchi, Ryota Mukai, Manabu Ishizaki, Tomoyuki Toda, Masato Kurihara, Masaaki Okazaki|2020|Cryst.Growth Des.|20|4046|doi:10.1021/acs.cgd.0c00328
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.cc24v315
title: CCDC 1991286: Experimental Crystal Structure Determination

description: Related Article: Shun Ohta, Yurika Iwabuchi, Ryota Mukai, Manabu Ishizaki, Tomoyuki Toda, Masato Kurihara, Masaaki Okazaki|2020|Cryst.Growth Des.|20|4046|doi:10.1021/acs.cgd.0c00328
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.cc24vlg2
title: CCDC 1991764: Experimental Crystal Structure Determination

description: Related Article: W. Clegg, R.W. Harrington|2020|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc24v337
title: CCDC 1991288: Experimental Crystal Structure Determination

description: Related Article: Shun Ohta, Yurika Iwabuchi, Ryota Mukai, Manabu Ishizaki, Tomoyuki Toda, Masato Kurihara, Masaaki Okazaki|2020|Cryst.Growth Des.|20|4046|doi:10.1021/acs.cgd.0c00328
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.cc24vll6
title: CCDC 1991768: Experimental Crystal Structure Determination

description: Related Article: W. Clegg, R.W. Harrington|2020|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc24vm3r
title: CCDC 1991784: Experimental Crystal Structure Determination

description: Related Article: Josiah G. D. Elsberg, Austin Peterson, Amy L. Fuller, Lisa M. Berreau|2020|Dalton Trans.|49|7564|doi:10.1039/D0DT01338B
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.cc24vm5t
title: CCDC 1991786: Experimental Crystal Structure Determination

description: Related Article: Josiah G. D. Elsberg, Austin Peterson, Amy L. Fuller, Lisa M. Berreau|2020|Dalton Trans.|49|7564|doi:10.1039/D0DT01338B
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.cc24w4bj
title: CCDC 1992287: Experimental Crystal Structure Determination

description: Related Article: Josiah G. D. Elsberg, Austin Peterson, Amy L. Fuller, Lisa M. Berreau|2020|Dalton Trans.|49|7564|doi:10.1039/D0DT01338B
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.cc24wwb8
title: CCDC 1993000: Experimental Crystal Structure Determination

description: Related Article: Marino Börjesson, Daniel Janssen-Müller, Basudev Sahoo, Yaya Duan, Xueqiang Wang, Ruben Martin|2020|J.Am.Chem.Soc.|142|16234|doi:10.1021/jacs.0c08810
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.cc24wwc9
title: CCDC 1993001: Experimental Crystal Structure Determination

description: Related Article: Marino Börjesson, Daniel Janssen-Müller, Basudev Sahoo, Yaya Duan, Xueqiang Wang, Ruben Martin|2020|J.Am.Chem.Soc.|142|16234|doi:10.1021/jacs.0c08810
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.cc21cbqh
title: CCDC 1887736: Experimental Crystal Structure Determination

description: Related Article: Manas Khatua, Bappaditya Goswami, Subhas Samanta|2020|Dalton Trans.|49|6816|doi:10.1039/D0DT00466A
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.cc24zdvd
title: CCDC 1995434: Experimental Crystal Structure Determination

description: Related Article: Quan H. Tran, Maurice Brookhart, Olafs Daugulis|2020|J.Am.Chem.Soc.|142|7198|doi:10.1021/jacs.0c02045
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.cc24zs86
title: CCDC 1995788: Experimental Crystal Structure Determination

description: Related Article: Catiúcia R. M. O. Matos, Rana Sanii, Shi-Qiang Wang, Célia M. Ronconi, Michael J. Zaworotko|2021|Dalton Trans.|50|12923|doi:10.1039/D1DT01839F
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.cc24zsb8
title: CCDC 1995790: Experimental Crystal Structure Determination

description: Related Article: Catiúcia R. M. O. Matos, Rana Sanii, Shi-Qiang Wang, Célia M. Ronconi, Michael J. Zaworotko|2021|Dalton Trans.|50|12923|doi:10.1039/D1DT01839F
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.cc24zy36
title: CCDC 1995938: Experimental Crystal Structure Determination

description: Related Article: Werner Marty, Muhammad Altaf, Helen Stoeckli-Evans|2020|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2503lx
title: CCDC 1996108: Experimental Crystal Structure Determination

description: Related Article: Nicholas A. Swisher, Robert H. Grubbs|2020|Organometallics|39|2479|doi:10.1021/acs.organomet.0c00270
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.cc2509dx
title: CCDC 1996288: Experimental Crystal Structure Determination

description: Related Article: Madeline Peterson, Camden Hunt, Zongheng Wang, Shannon E. Heinrich, Guang Wu, Gabriel Ménard|2020|Dalton Trans.|49|16268|doi:10.1039/D0DT01372B
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.