cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7766154
title: Appendix_Riedesel23_PLOS_ONE

description: The spreadsheet is the appendix from the study by Riedesel et al. 2023 and contains the sections: S1 - The table lists the designation of Soil Climate Regions (SCR) with SCR number and SCR name in English and original German SCR name S2 - The table lists variance of the basic model from equation 3, the variance of every single weather index (WI) model from equation 1 and the respective variance reduction (VR) from equation 2. S3 The table lists all covariates that were tested, the respective model variances with the covariate under investigation, the VR due to the incoorporation of the covariate compared to the variance of the baseline model from equation 3 and the variance inflation factor (VIF) S4 The following tables list the model output of equation 1 including parameters, estimates, standard errors, degrees of freedom (df), t values and p values for each WI S5 The table expresses the minimal data set explaining the results displayed in Fig. 5-7 of the PLOS ONE manuscript and lists the parameters mean winter wheat yield, WI occurrence, estimated coefficient, p value, WI yield effect for each WI observed per municipality over the period 1995-2019.
description: Supporting Information of the Riedesel et al. (2023) PLOS ONE manuscript with the title "Timing and intensity of heat and drought stress determine wheat yield losses in Germany"
DOI: 10.5281/zenodo.8076295
title: Appendix_Riedesel23_PLOS_ONE

description: The spreadsheet is the appendix from the study by Riedesel et al. 2023 and contains the sections: The table lists: the designation of Soil Climate Regions (SCR) with SCR number and SCR name in English and original German SCR name (Table A) the variance of the basic model from equation 3, the variance of every single weather index (WI) model from equation 1 and the respective variance reduction (VR) from equation 2. (Table B) all covariates that were tested, the respective model variances with the covariate under investigation, the VR due to the incoorporation of the covariate compared to the variance of the baseline model from equation 3 and the variance inflation factor (VIF) (Table C) the model output of equation 1 including parameters, estimates, standard errors, degrees of freedom (df), t values and p values for each WI (Tables D-U) the minimal data set explaining the results displayed in Fig. 5-7 of the PLOS ONE manuscript and lists the parameters mean winter wheat yield, WI occurrence, estimated coefficient, p value, WI yield effect for each WI observed per municipality over the period 1995-2019.(Table V)
description: Supporting Information of the Riedesel et al. (2023) PLOS ONE manuscript with the title "Timing and intensity of heat and drought stress determine wheat yield losses in Germany"
DOI: 10.25345/c58g8ft5d
title: MassIVE MSV000092256 - Metabolism of halauxifen-methyl is regulated by genes on chromosome 5A of wheat (Triticum aestivum L.) [nullisomic-tetrasomic lines]
title: Metabolism of halauxifen-methyl is regulated by genes on chromosome 5A of wheat (Triticum aestivum L.) [nullisomic-tetrasomic lines]
DOI: 10.6084/m9.figshare.3761562.v2625
title: Online Labour Index: Measuring the Online Gig Economy for Policy and Research

description: Data repository for the data underlying the Online Labour Index. See http://ilabour.oii.ox.ac.uk online-labour-index/ for details.
DOI: 10.6084/m9.figshare.21404594
title: Home cannabis cultivation in the United States and differences by state-level policy, 2019-2020

description: <i>Background:</i> As of 2022, all but two U.S. states with adult-use cannabis laws also allow home cultivation. Home cultivation has the potential to support or oppose public health measures, and research in U.S. states is nascent. <i>Objectives:</i> 1) estimate the percentage of respondents who reported growing cannabis plants; 2) estimate the average number of plants grown; 3) examine the association between home cultivation, jurisdiction, and individual-level factors; and 4) examine the association between home cultivation and state-level policies in adult-use states. <i>Methods:</i> Repeat cross-sectional survey data come from U.S. respondents aged 21–65 in 2019 and 2020. Respondents were recruited through online commercial panels. Home cultivation rates were estimated among all U.S. respondents (n = 51,503; 46–52% male). Additional analyses were conducted on a sub-sample of respondents in states that allowed adult-use home cultivation (n = 29,100; 50% male). <i>Results:</i> A total of 6.8% and 7.3% of U.S. respondents reported home cultivation in 2019 and 2020, respectively. Respondents in states that allowed adult-use home cultivation had higher odds of reporting home cultivation than respondents in states without medical or adult-use cannabis laws (AOR = 1.48, 95% 1.26, 1.75). Among respondents in states that allowed adult-use home cultivation, the median number of plants that respondents reported growing was below state cultivation limits. <i>Conclusion:</i> Home cultivation rates in the U.S. were higher in states that allowed adult-use home cultivation; however, other evidence suggests these same states had higher rates predating adult-use legalization. Further work is needed to examine how home cultivation relates to public health measures in adult-use states.
DOI: 10.6084/m9.figshare.21404594.v1
title: Home cannabis cultivation in the United States and differences by state-level policy, 2019-2020

description: <i>Background:</i> As of 2022, all but two U.S. states with adult-use cannabis laws also allow home cultivation. Home cultivation has the potential to support or oppose public health measures, and research in U.S. states is nascent. <i>Objectives:</i> 1) estimate the percentage of respondents who reported growing cannabis plants; 2) estimate the average number of plants grown; 3) examine the association between home cultivation, jurisdiction, and individual-level factors; and 4) examine the association between home cultivation and state-level policies in adult-use states. <i>Methods:</i> Repeat cross-sectional survey data come from U.S. respondents aged 21–65 in 2019 and 2020. Respondents were recruited through online commercial panels. Home cultivation rates were estimated among all U.S. respondents (n = 51,503; 46–52% male). Additional analyses were conducted on a sub-sample of respondents in states that allowed adult-use home cultivation (n = 29,100; 50% male). <i>Results:</i> A total of 6.8% and 7.3% of U.S. respondents reported home cultivation in 2019 and 2020, respectively. Respondents in states that allowed adult-use home cultivation had higher odds of reporting home cultivation than respondents in states without medical or adult-use cannabis laws (AOR = 1.48, 95% 1.26, 1.75). Among respondents in states that allowed adult-use home cultivation, the median number of plants that respondents reported growing was below state cultivation limits. <i>Conclusion:</i> Home cultivation rates in the U.S. were higher in states that allowed adult-use home cultivation; however, other evidence suggests these same states had higher rates predating adult-use legalization. Further work is needed to examine how home cultivation relates to public health measures in adult-use states.
DOI: 10.15785/sbgrid/974
title: X-Ray Diffraction data from Interleukin-21 ternary receptor complex, source of 8ENT structure

description: native dataset
description: data processed in XDS
DOI: 10.5281/zenodo.8076306
title: MD-RA-USWEST_data

description: Data and analysis pipelines from the paper "Meteorological Drivers of Resource Adequacy Failures in Current and High Renewable Western U.S. Power Systems"
DOI: 10.26093/cds/vizier.51510024
title: LAMOST quasar survey: quasar properties from the DR1

description: VizieR online Data Catalogue associated with article published in journal Astronomical Journal (AAS) with title 'The Large Sky Area Multi-Object Fiber Spectroscopic Telescope quasar survey: quasar properties from the first data release.' (bibcode: 2016AJ....151...24A)
DOI: 10.26093/cds/vizier.51550189
title: LAMOST Quasar Survey: quasar properties from DR2&3

description: VizieR online Data Catalogue associated with article published in journal Astronomical Journal (AAS) with title 'The Large Sky Area Multi-Object Fibre Spectroscopic Telescope (LAMOST) Quasar Survey: quasar properties from data release two and three.' (bibcode: 2018AJ....155..189D)
DOI: 10.26093/cds/vizier.18220081
title: PTF stellar rotation periods for Pleiades members

description: VizieR online Data Catalogue associated with article published in journal Astronomical Journal (AAS) with title 'Why are rapidly rotating M dwarfs in the Pleiades so (infra)red? New period measurements confirm rotation-dependent color offsets from the cluster sequence.' (bibcode: 2016ApJ...822...81C)
DOI: 10.17909/1s0p-qc54
title: TDF Spoke 1 NIRCam

description: First epoch of JWST Time Domain Field, NIRCam only.
DOI: 10.6084/m9.figshare.23571879
title: Fig2C Luciferase Data AspRS PromoterLUC WT

description: Fig2C Luciferase Data AspRS PromoterLUC WT
DOI: 10.6084/m9.figshare.23571879.v1
title: Fig2C Luciferase Data AspRS PromoterLUC WT

description: Fig2C Luciferase Data AspRS PromoterLUC WT
DOI: 10.6084/m9.figshare.23571888
title: Fig2C Luciferase Data AspRS PromoterLUC dfrq

description: Fig2C Luciferase Data AspRS PromoterLUC dfrq
DOI: 10.6084/m9.figshare.23571888.v1
title: Fig2C Luciferase Data AspRS PromoterLUC dfrq

description: Fig2C Luciferase Data AspRS PromoterLUC dfrq
DOI: 10.6084/m9.figshare.23571894
title: Fig2D Luciferase Data GlnRS PromoterLUC WT

description: Fig2D Luciferase Data GlnRS PromoterLUC WT
DOI: 10.6084/m9.figshare.23571894.v1
title: Fig2D Luciferase Data GlnRS PromoterLUC WT

description: Fig2D Luciferase Data GlnRS PromoterLUC WT
DOI: 10.6084/m9.figshare.23571897
title: Fig2D Luciferase Data GlnRS PromoterLUC dfrq

description: Fig2D Luciferase Data GlnRS PromoterLUC dfrq
DOI: 10.6084/m9.figshare.23571897.v1
title: Fig2D Luciferase Data GlnRS PromoterLUC dfrq

description: Fig2D Luciferase Data GlnRS PromoterLUC dfrq
DOI: 10.25345/c54t6fd21
title: MassIVE MSV000092257 - Dayspring Partners Test 20230623.1
title: Contains MS/MS data for positive and negative injections for FLV040_001 to *_004
DOI: 10.5281/zenodo.7452043
title: Supplementary Material no. 2 to the manuscript: Reemission of inorganic pollution from permafrost? – a freshwater hydrochemistry study in the lower Kolyma basin (North-East Siberia)

description: A dataset on the inorganic chemistry of permafrost-related creeks and ice, thermokarst lakes and the Kolyma river and its tributaries in late July 2021.<br> Companion dataset to the manuscript: "Reemission of inorganic pollution from permafrost? – a freshwater hydrochemistry study in the lower Kolyma basin (North-East Siberia)".<br> Current abstract of the manuscript (prior to peer review): Permafrost regions are under particular pressure from climate change resulting in widespread landscape changes, which impact also freshwater chemistry. We investigated a snapshot of hydrochemistry in various freshwater environments in the lower Kolyma river basin (North-East Siberia, continuous permafrost zone) to explore the mobility of metals, metalloids and non-metals resulting from permafrost thaw. Particular attention was focused on heavy metals as contaminants potentially released from the secondary source in the permafrozen Yedoma complex. Permafrost creeks represented the Mg-Ca-Na-HCO<sub>3</sub>-Cl-SO<sub>4</sub> ionic water type (with mineralisation in the range 600-800 mg/L), while permafrost ice and thermokarst lake waters were the HCO<sub>3</sub>-Ca-Mg type. Multiple heavy metals (As, Cu, Co, Mn and Ni) showed much higher dissolved phase concentrations in permafrost creeks and ice than in Kolyma and its tributaries, and only in the permafrost samples and one Kolyma tributary have we detected dissolved Ti or Hg. In thermokarst lakes, several metal and metalloid dissolved concentrations increased with water depth (Fe, Mn, Ni and Zn - in both lakes; Al, Cu, K, Sb, Sr and Pb in either lake), reaching 1370 µg/L Cu, 4610 µg/L Mn, and 687 µg/L Zn in the bottom water layers. Permafrost-related waters were also enriched in dissolved phosphorus (up to 512 µg/L in Yedoma-fed creeks). The impact of permafrost thaw on river and lake water chemistry is a complex problem which needs to be considered both in the context of legacy permafrost shrinkage and the interference of the deepening active layer with newly deposited antropogenic contaminants.
description: The dataset is currently under restricted access (for the review stage) and is planned to be released upon manuscript publication. Then, a reference to the article will be placed here for citation purposes.
DOI: 10.34740/kaggle/dsv/6007807
title: Spanish-lang suicide tendency texts
DOI: 10.6084/m9.figshare.22775396
title: <strong>INSTRUMENTOS PARA ANÁLISE DA CONDIÇÃO DE TRABALHO NA ATENÇÃO PRIMÁRIA À SAÚDE: REVISÃO INTEGRATIVA</strong>

description: <strong>Questão/problema de pesquisa*</strong> <strong>Objetivos da pesquisa</strong> Quais são os instrumentos utilizados para analisar as condições de trabalho dos profissionais de saúde da atenção primária à saúde? Identificar as evidências científicas disponíveis sobre os instrumentos utilizados para análise das condições de trabalho de profissionais inseridos na atenção primária à saúde.
DOI: 10.6084/m9.figshare.22775396.v3
title: <strong>INSTRUMENTOS PARA ANÁLISE DA CONDIÇÃO DE TRABALHO NA ATENÇÃO PRIMÁRIA À SAÚDE: REVISÃO INTEGRATIVA</strong>

description: <strong>Questão/problema de pesquisa*</strong> <strong>Objetivos da pesquisa</strong> Quais são os instrumentos utilizados para analisar as condições de trabalho dos profissionais de saúde da atenção primária à saúde? Identificar as evidências científicas disponíveis sobre os instrumentos utilizados para análise das condições de trabalho de profissionais inseridos na atenção primária à saúde.
DOI: 10.6084/m9.figshare.23567103
title: 273 document results Organizational Resilience.csv

description: The dataset contains 273 document list mentioning "organizational resilience" in iether title, keyword, or abstract. The dataset is specific on business and economics fields only.
DOI: 10.34740/kaggle/dsv/6008040
title: Physical Activity Prediction Dataset
DOI: 10.5281/zenodo.8076375
title: pterothamnion_heteromorphum_decontaminated_FSCR.fa

description: .
DOI: 10.5281/zenodo.8076374
title: pterothamnion_heteromorphum_decontaminated_FSCR.fa

description: .
DOI: 10.5281/zenodo.8067500
title: "Trust Your Neighbours: Handling Noise in Multi-Objective Optimisation Using kNN-Averaging" - Supporting Data

description: Extracted data used to create the figures supporting the publication "Trust Your Neighbours: Handling Noise in Multi-Objective Optimisation Using kNN-Averaging", submitted to Applied Soft Computing.
DOI: 10.5281/zenodo.8067501
title: "Trust Your Neighbours: Handling Noise in Multi-Objective Optimisation Using kNN-Averaging" - Supporting Data

description: Extracted data used to create the figures supporting the publication "Trust Your Neighbours: Handling Noise in Multi-Objective Optimisation Using kNN-Averaging", submitted to Applied Soft Computing.
DOI: 10.5281/zenodo.8076336
title: "Trust Your Neighbours: Handling Noise in Multi-Objective Optimisation Using kNN-Averaging" - Supporting Data

description: Extracted data used to create the figures supporting the publication "Trust Your Neighbours: Handling Noise in Multi-Objective Optimisation Using kNN-Averaging", submitted to Applied Soft Computing.
DOI: 10.5281/zenodo.8061004
title: FTIR and NMR spectra of impurified and purified acrylonitrile (AN) (Original data)

description: This dataset contains FTIR and NMR spectra for the successful purification of acrylonitrile (AN) monomer by a simple column technique which is related to our published paper with DOI 10.3390/polym13040660 1. Fig. 2a FTIR non-Pure AN (httpswebbook.nist.govcgicbook.cgiID=C107131&Units=SI&Mask=80#IR-Spec)<br> 2. FTIR_ Pure AN_ Raw Data (Excel)<br> 3. SigmaPlot FTIR_ Pure AN_ Raw Data<br> 4. Pure AN_1H (1)<br> 5. Pure AN_1H (2)<br> 6. Pure AN_13C(1)<br> 7. Pure AN_13C (2)<br> 8. Non Pure AN_1H (1)<br> 9. Non Pure AN_1H (2)<br> 10. Non Pure AN_13C (1)<br> 11. Non Pure AN_13C (2) 12. Figure (1) -A schematic diagram of a simple column's advantages versus the distillation technique's drawbacks 13. Figure (6)- Experimental setup of monomer purification procedure 14. Editing Figures (1) & (6) 15. Fig. 3. Chemial Structure of AN, AA, and MeHQ 16. Related research paper dataset In fact, As known, purification is of the utmost significance in any chemistry process. Besides, eliminating impurities enhances the quality and standard of the product. The primary method for monomer purification, like acrylonitrile (AN), is the distillation technique. However, this technique is unsafe and hard to set up or handle. A straightforward, risk-free, and low-cost method like the column technique resolves these issues. Therefore, the data will be helpful in numerous applications, especially in polymerization reactions that require the removal of inhibitors before the polymerization initiation process.
DOI: 10.5281/zenodo.8061005
title: FTIR and NMR spectra of impurified and purified acrylonitrile (AN) (Original data)

description: This dataset contains FTIR and NMR spectra for the successful purification of acrylonitrile (AN) monomer by a simple column technique which is related to our published paper with DOI 10.3390/polym13040660 1. FTIR_Non Pure AN_ Raw Data (Excel)<br> 2. FTIR_ Pure AN_ Raw Data (Excel)<br> 3. SigmaPlot FTIR_ Pure AN_ Raw Data<br> 4. SigmaPlot FTIR_ Non Pure AN_ Raw Data<br> 5. Pure AN_1H (1)<br> 6. Pure AN_1H (2)<br> 7. Pure AN_13C(1)<br> 8. Pure AN_13C (2)<br> 9. Non Pure AN_1H (1)<br> 10. Non Pure AN_1H (2)<br> 11. Non Pure AN_13C (1)<br> 12. Non Pure AN_13C (2) In fact, As known, purification is of the utmost significance in any chemistry process. Besides, eliminating impurities enhances the quality and standard of the product. The primary method for monomer purification, like acrylonitrile (AN), is the distillation technique. However, this technique is unsafe and hard to set up or handle. A straightforward, risk-free, and low-cost method like the column technique resolves these issues. Therefore, the data will be helpful in numerous applications, especially in polymerization reactions that require the removal of inhibitors before the polymerization initiation process.
DOI: 10.5281/zenodo.8076362
title: FTIR and NMR spectra of impurified and purified acrylonitrile (AN) (Original data)

description: This dataset contains FTIR and NMR spectra for the successful purification of acrylonitrile (AN) monomer by a simple column technique which is related to our published paper with DOI 10.3390/polym13040660 1. FTIR_Non Pure AN_ Raw Data (Excel)<br> 2. FTIR_ Pure AN_ Raw Data (Excel)<br> 3. SigmaPlot FTIR_ Pure AN_ Raw Data<br> 4. SigmaPlot FTIR_ Non Pure AN_ Raw Data<br> 5. Pure AN_1H (1)<br> 6. Pure AN_1H (2)<br> 7. Pure AN_13C(1)<br> 8. Pure AN_13C (2)<br> 9. Non Pure AN_1H (1)<br> 10. Non Pure AN_1H (2)<br> 11. Non Pure AN_13C (1)<br> 12. Non Pure AN_13C (2) In fact, As known, purification is of the utmost significance in any chemistry process. Besides, eliminating impurities enhances the quality and standard of the product. The primary method for monomer purification, like acrylonitrile (AN), is the distillation technique. However, this technique is unsafe and hard to set up or handle. A straightforward, risk-free, and low-cost method like the column technique resolves these issues. Therefore, the data will be helpful in numerous applications, especially in polymerization reactions that require the removal of inhibitors before the polymerization initiation process.
DOI: 10.5281/zenodo.8076378
title: FTIR and NMR spectra of impurified and purified acrylonitrile (AN) (Original data)

description: This dataset contains FTIR and NMR spectra for the successful purification of acrylonitrile (AN) monomer by a simple column technique which is related to our published paper with DOI 10.3390/polym13040660 1. Fig. 2a FTIR non-Pure AN (httpswebbook.nist.govcgicbook.cgiID=C107131&Units=SI&Mask=80#IR-Spec)<br> 2. FTIR_ Pure AN_ Raw Data (Excel)<br> 3. SigmaPlot FTIR_ Pure AN_ Raw Data<br> 4. Pure AN_1H (1)<br> 5. Pure AN_1H (2)<br> 6. Pure AN_13C(1)<br> 7. Pure AN_13C (2)<br> 8. Non Pure AN_1H (1)<br> 9. Non Pure AN_1H (2)<br> 10. Non Pure AN_13C (1)<br> 11. Non Pure AN_13C (2) 12. Figure (1) -A schematic diagram of a simple column's advantages versus the distillation technique's drawbacks 13. Figure (6)- Experimental setup of monomer purification procedure 14. Editing Figures (1) & (6) 15. Fig. 3. Chemial Structure of AN, AA, and MeHQ 16. Related research paper dataset In fact, As known, purification is of the utmost significance in any chemistry process. Besides, eliminating impurities enhances the quality and standard of the product. The primary method for monomer purification, like acrylonitrile (AN), is the distillation technique. However, this technique is unsafe and hard to set up or handle. A straightforward, risk-free, and low-cost method like the column technique resolves these issues. Therefore, the data will be helpful in numerous applications, especially in polymerization reactions that require the removal of inhibitors before the polymerization initiation process.
DOI: 10.6084/m9.figshare.23527827
title: Complex refractive index of GaAs.xlsx

description: A dataset of complex refractive index of GaAs at a matrix of temperatures (4 K &lt; ?? &lt; 295 K) and photon wavelength (700 nm &lt; ?? &lt;1000 nm).
DOI: 10.5281/zenodo.8040694
title: Datasets from: A Worldwide View of Nation-state Internet Censorship, Free and Open Communications on the Internet (FOCI), 2023

description: These data were used to perform the cross-sectional study, systematic literature review, and analysis presented in the research framework from the paper, A Worldwide View of Nation-state Internet Censorship - presented at the FOCI workshop as part of the 23rd Privacy Enhancing Technologies Symposium in Lausanne, Switzerland.
DOI: 10.5281/zenodo.8040693
title: Datasets from: A Worldwide View of Nation-state Internet Censorship, Free and Open Communications on the Internet (FOCI), 2023

description: These data were used to perform the cross-sectional study, systematic literature review, and analysis presented in the research framework from the paper, A Worldwide View of Nation-state Internet Censorship - presented at the FOCI workshop as part of the 23rd Privacy Enhancing Technologies Symposium in Lausanne, Switzerland.
DOI: 10.5519/qd.dr140f4w
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (17 records)
DOI: 10.5281/zenodo.5166508
title: Survey on Understanding the Challenges of Accessing Water in Metro Manila

description: Conducted in 2020, the results of the household survey (n=800) describe the challenges of accessing water by urban poor communities living in informal and resettlement sites in and around Metro Manila. Responses provide information on experiences related to price and availability of water, perceptions about the performance of water providers, coping strategies during water shortages, housing and sanitation conditions, and perceptions about the role and influence of state and non-state players related to water provision.
description: This work was supported by the Japan Society for the Promotion of Science KAKENHI under Grant number JP19H00577 (Grant-in-Aid for Scientific Research (A)).