cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.14768/apd.sc18-6e15
title: African Pollen Database: Ethiopia_Mohammed_unpublish_trans fossil pollen dataset
DOI: 10.14768/apd.p53n-ew31
title: African Pollen Database: Kenya_Vincens_unpublish_trans fossil pollen dataset
DOI: 10.14768/apd.ct51-fk59
title: African Pollen Database: Tanzania_Vincens_NATVR_trans fossil pollen dataset
DOI: 10.5517/ccdc.csd.cc2g0ntz
title: CCDC 2264761: Experimental Crystal Structure Determination

description: Related Article: Valerio Giuso, Jeannine Yang, Jérémy Forté, Héloïse Dossmann, Chantal Daniel, Christophe Gourlaouen, Matteo Mauro, Benoît Bertrand|2023|ChemPlusChem|88|e202300303|doi:10.1002/cplu.202300303
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.cc2g2k8d
title: CCDC 2266573: Experimental Crystal Structure Determination

description: Related Article: Ryoto Oya, Kenji Ota, Masaaki Fuki, Yasuhiro Kobori, Masahiro Higashi, Kazunori Nagao, Hirohisa Ohmiya|2023|Chemical Science|14|10488|doi:10.1039/D3SC03572G
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: 10.25403/upresearchdata.23592297
title: Fe-MIL-101 and Fe-MIL-88B synthesized from waste derived precursors

description: The dataset outlines different characterization used to deterimine the nature and properties of the material. An ICP-OES data summarizes the measured elemental concentrations from raw AMD and after the extraction of Fe using NaOH with and without the use of an oxidant. The XPS data outlines the composition, chemical and electronic state of the atoms that make up the Fe precipitates. Adsorption-desorption studies produced BET SA and PV data which shared information about the surface area, pore size and types of pores contained within the material. The document also shares thermal degradation profiles, crystallinity, chemical structure and bonding as well as the morphology of the material. The powder x-ray diffraction (PXRD) tool was used to determine the crystal phases, phase purity and size of the unit cell of MOFs, collected over a wide range of 2θ. Thermal stabilities of MOFs were measured using a thermogravimetric analysis (TGA) technique and profiles plotted with weight loss against temperature. Scanning electron microscopy (SEM) technique was used for imaging and analysis of surface morphology in MOF materials to determine size, shape, morphology, and surface composition.
DOI: 10.25403/upresearchdata.23592297.v1
title: Fe-MIL-101 and Fe-MIL-88B synthesized from waste derived precursors

description: The dataset outlines different characterization used to deterimine the nature and properties of the material. An ICP-OES data summarizes the measured elemental concentrations from raw AMD and after the extraction of Fe using NaOH with and without the use of an oxidant. The XPS data outlines the composition, chemical and electronic state of the atoms that make up the Fe precipitates. Adsorption-desorption studies produced BET SA and PV data which shared information about the surface area, pore size and types of pores contained within the material. The document also shares thermal degradation profiles, crystallinity, chemical structure and bonding as well as the morphology of the material. The powder x-ray diffraction (PXRD) tool was used to determine the crystal phases, phase purity and size of the unit cell of MOFs, collected over a wide range of 2θ. Thermal stabilities of MOFs were measured using a thermogravimetric analysis (TGA) technique and profiles plotted with weight loss against temperature. Scanning electron microscopy (SEM) technique was used for imaging and analysis of surface morphology in MOF materials to determine size, shape, morphology, and surface composition.
DOI: 10.14768/apd.783x-b515
title: African Pollen Database: Ivory_Coast_Ybert_1977_trans fossil pollen dataset
DOI: 10.14768/apd.42d4-2239
title: African Pollen Database: Ivory_Coast_Caratini_1987_trans fossil pollen dataset
DOI: 10.14768/apd.r83c-fy84
title: African Pollen Database: Madagascar_Burney_VL_1988_trans fossil pollen dataset
DOI: 10.48579/pro/phnjmg/s2tocl
title: hnp_road-census-data_1999-2014.tab

description: Sighting data
DOI: 10.48579/pro/phnjmg/5zjzq2
title: hnp_road-census-data_variables-description.txt

description: Description of the variables (columns) in the hnp_road-census-data_1999-2014.csv file
DOI: 10.48579/pro/phnjmg
title: Road census data Hwange NP (Zimbabwe) - 1999-2014

description: Sighting data from road censuses conducted twice a year in Hwange National Park (Zimbabwe). The data provided are for the period 1999-2014. Data are provided in one file and the the description of variables (columns of data file) is provided in an associated text file.
DOI: 10.14768/apd.vdnv-2086
title: African Pollen Database: Madagascar_Burney_VR_1988_trans fossil pollen dataset
DOI: 10.14768/apd.cret-qf43
title: African Pollen Database: Madagascar_Burney_VS_1988_trans fossil pollen dataset
DOI: 10.14768/apd.gzqy-3095
title: African Pollen Database: Mayotte_Lezine_unpublish_trans fossil pollen dataset
DOI: 10.34740/kaggle/dsv/6683938
title: YouTube Trending Video Dataset (updated daily)
DOI: 10.34740/kaggle/dsv/6683942
title: 2021 World Population (updated daily)
DOI: 10.6084/m9.figshare.24204114
title: Supplementary Material for: Supplementary implantation of 1stQ AddOn® sulcus-fixated intraocular lens to treat negative dysphotopsia: a retrospective case series

description: Negative dysphotopsia refers to the subjective perception of an arc-shaped darkness or shadow in the temporal field of vision. This condition occurs after uneventful cataract surgery with an in-the-bag intraocular lens (IOL). To address this issue, supplementary implantation of conventional three-piece IOLs in the sulcus or dedicated supplementary Rayner Sulcoflex® IOL have been used successfully. The aim of this retrospective case series was to assess the effectiveness of resolving negative dysphotopsia using a supplementary 1stQ AddOn® (Medicontur) IOL. The 1stQ AddOn® has a different design and optic size compared to the Rayner Sulcoflex®. Patients experiencing severe and persistent negative dysphotopsia underwent supplementary implantation of the 1stQ AddOn® IOL. The primary outcome measure was the resolution of dysphotopsia. Nine eyes received the 1stQ AddOn® IOL, with complete symptom resolution observed in six eyes, partial improvement in one eye, and no change in two eyes. This indicates that supplementary implantation of the 1stQ AddOn® IOL can effectively and safely treat negative dysphotopsia, performing equally well as the Rayner Sulcoflex®. The positive impact of sulcus-fixated supplementary IOLs seems to be related to the interaction between the central optic and the pupil margin.
DOI: 10.13020/asj6-2z05
title: Mass spectrometry data of proteins identified in purified sample of Fdh2-Hdr complex

description: Mass spectrometry data of proteins identified from purified Fdh2-Hdr complex from Methanococcus maripaludis. The purpose of this data is part of the manuscript submission to identify the protein component of Fdh2-Hdr complex when Methanoccus mariapludis relies on Fdh2 for growh on formate as the sole electron donor.
DOI: 10.57768/gcxz-mp65
title: Droga przez mękę
title: Droga przez mękę

description: ulalal ilala
description: lll kkkk
DOI: 10.6084/m9.figshare.24303007
title: Phylotaxonomic assessment based on four core gene sets and proposal of a genus definition among the families Paracoccaceae and Roseobacteraceae - supplementary material

description: The families <em>Paracoccaceae</em> and <em>Roseobacteraceae</em> comprised of metabolically, phenotypically, and genotypically diverse members, and circumscribed heavily based on 16S rRNA gene analysis previously. Hundreds of genera have been reported within the two families, and misclassifications have been a reoccurring problem, though the taxonomies have been established based on genome-scale phylogenetic reconstructions. In this study, we conducted a comprehensive phylotaxonomic assessment of the families <em>Paracoccaceae</em> and <em>Roseobacteraceae</em> based on four ubiquitous gene sets, bac120 (120 genes in <em>Bacteria</em>), rhodo268 (268 genes in “<em>Rhodobacteraceae</em>”, defined in this study), rp1 (16 ribosomal protein genes in Prokaryote) and rp2 (23 ribosomal protein genes in Prokaryote), using two tree-inferring applications and two approaches (supermatrix and consensus). The results suggested that the four supermatrix trees based on bac120 and rhodo268 shared high proportion of common nodes (&gt;88.4%) and the topology was reproducible among all the trees within most of genera. The evolutionary distance (ED) analysis showed significant overlapping between intergeneric and intrageneric comparison, implying that the proposal of some genera seems to be needless. In addition, the bac120 gene set and the program FastTree were found to be the most cost-effective way to conduct phylogenomic analysis of the families <em>Paracoccaceae</em> and <em>Roseobacteraceae</em>; and the ED threshold of 0.21-0.23 based on either bac120 or rhodo268 was proposed as one standard for later genus delimitation in these families. As conclusions, a comprehensive phylogenetic framework was presented in this study, and the proposed genus definition will promote to establish a more reasonable taxonomy in the families <em>Paracoccaceae</em> and <em>Roseobacteraceae</em>.
DOI: 10.6084/m9.figshare.24303007.v1
title: Phylotaxonomic assessment based on four core gene sets and proposal of a genus definition among the families Paracoccaceae and Roseobacteraceae - supplementary material

description: The families <em>Paracoccaceae</em> and <em>Roseobacteraceae</em> comprised of metabolically, phenotypically, and genotypically diverse members, and circumscribed heavily based on 16S rRNA gene analysis previously. Hundreds of genera have been reported within the two families, and misclassifications have been a reoccurring problem, though the taxonomies have been established based on genome-scale phylogenetic reconstructions. In this study, we conducted a comprehensive phylotaxonomic assessment of the families <em>Paracoccaceae</em> and <em>Roseobacteraceae</em> based on four ubiquitous gene sets, bac120 (120 genes in <em>Bacteria</em>), rhodo268 (268 genes in “<em>Rhodobacteraceae</em>”, defined in this study), rp1 (16 ribosomal protein genes in Prokaryote) and rp2 (23 ribosomal protein genes in Prokaryote), using two tree-inferring applications and two approaches (supermatrix and consensus). The results suggested that the four supermatrix trees based on bac120 and rhodo268 shared high proportion of common nodes (&gt;88.4%) and the topology was reproducible among all the trees within most of genera. The evolutionary distance (ED) analysis showed significant overlapping between intergeneric and intrageneric comparison, implying that the proposal of some genera seems to be needless. In addition, the bac120 gene set and the program FastTree were found to be the most cost-effective way to conduct phylogenomic analysis of the families <em>Paracoccaceae</em> and <em>Roseobacteraceae</em>; and the ED threshold of 0.21-0.23 based on either bac120 or rhodo268 was proposed as one standard for later genus delimitation in these families. As conclusions, a comprehensive phylogenetic framework was presented in this study, and the proposed genus definition will promote to establish a more reasonable taxonomy in the families <em>Paracoccaceae</em> and <em>Roseobacteraceae</em>.
DOI: 10.6084/m9.figshare.24306061
title: Input data: Can ∆<sup>14</sup>CO<sub>2</sub> observations help atmospheric inversions constrain the fossil CO2 emission budget of Europe?

description: Input data (true and prior fluxes and atmospheric ∆<sup>14</sup>C) generated for the manuscript: Can ∆<sup>14</sup>CO<sub>2</sub> observations help atmospheric inversions constrain the fossil CO2 emission budget of Europe?Fossil fuel data has been derived from:Gerbig, C. and Koch, F.-T.: European anthropogenic CO2 emissions based on EDGARv4.3, BP statistics 2021 and CarbonMonitor for 2019-2020 (Version 1.0). ICOS ERIC – Carbon Portal, https://doi.org/https://doi.org/10.18160/GFNT-5Y47, 2021bOda, T. and Maksyutov, S.: ODIAC Fossil Fuel CO2 Emissions Dataset (Version name: ODIAC2020b),<br>https://doi.org/10.17595/20170411.001, 2020.Biosphere fluxes (NEE) have been derived from:Gerbig, C. and Koch, F.-T.: Biosphere-atmosphere exchange fluxes for CO2 from the Vegetation Photosynthesis and Respiration Model VPRM for 2006-2022, https://doi.org/10.18160/VX78-HVA1, 2021a.Wu, Z.: European hourly NEE, GPP and total respiration for 2010-2022 based on LPJ-GUESS (generated in 2023), https://doi.org/10.18160/p52c-1qjm, 2023.14CO2 data has been derived from:Basu, S., Lehman, S. J., Miller, J. B., Andrews, A. E., Sweeney, C., Gurney, K. R., Xu, X., Southon, J., and Tans, P. P.: Estimating US fossil fuel CO2 emissions from measurements of 14C in atmospheric CO2, Proceedings of the National Academy of Sciences, 117, 13 300–13 307, https://doi.org/10.1073/pnas.1919032117, 2020.
DOI: 10.6084/m9.figshare.24306061.v2
title: Input data: Can ∆<sup>14</sup>CO<sub>2</sub> observations help atmospheric inversions constrain the fossil CO2 emission budget of Europe?

description: Input data (true and prior fluxes and atmospheric ∆<sup>14</sup>C) generated for the manuscript: Can ∆<sup>14</sup>CO<sub>2</sub> observations help atmospheric inversions constrain the fossil CO2 emission budget of Europe?Fossil fuel data has been derived from:Gerbig, C. and Koch, F.-T.: European anthropogenic CO2 emissions based on EDGARv4.3, BP statistics 2021 and CarbonMonitor for 2019-2020 (Version 1.0). ICOS ERIC – Carbon Portal, https://doi.org/https://doi.org/10.18160/GFNT-5Y47, 2021bOda, T. and Maksyutov, S.: ODIAC Fossil Fuel CO2 Emissions Dataset (Version name: ODIAC2020b),<br>https://doi.org/10.17595/20170411.001, 2020.Biosphere fluxes (NEE) have been derived from:Gerbig, C. and Koch, F.-T.: Biosphere-atmosphere exchange fluxes for CO2 from the Vegetation Photosynthesis and Respiration Model VPRM for 2006-2022, https://doi.org/10.18160/VX78-HVA1, 2021a.Wu, Z.: European hourly NEE, GPP and total respiration for 2010-2022 based on LPJ-GUESS (generated in 2023), https://doi.org/10.18160/p52c-1qjm, 2023.14CO2 data has been derived from:Basu, S., Lehman, S. J., Miller, J. B., Andrews, A. E., Sweeney, C., Gurney, K. R., Xu, X., Southon, J., and Tans, P. P.: Estimating US fossil fuel CO2 emissions from measurements of 14C in atmospheric CO2, Proceedings of the National Academy of Sciences, 117, 13 300–13 307, https://doi.org/10.1073/pnas.1919032117, 2020.
DOI: 10.6084/m9.figshare.24306061.v1
title: Input data: Can ∆14CO2 observations help atmospheric inversions constrain the fossil CO2 emission budget of Europe?

description: Input data (true and prior fluxes and atmospheric ∆14C) generated for the manuscript: Can ∆14CO2 observations help atmospheric inversions constrain the fossil CO2 emission budget of Europe?
DOI: 10.25625/wow1hc/4gzuvy
title: LiveDocsLogo.png

description: :unav
DOI: 10.25625/wow1hc/u6wngn
title: livedocs_logo.svg

description: :unav
DOI: 10.25625/wow1hc
title: LiveDocs Logo

description: SVG files with the logo of LiveDocs.
DOI: 10.57745/qawqls
title: Experimental_mean.txt

description: :unav
DOI: 10.57745/el4ueu
title: Experimental.txt

description: :unav
DOI: 10.57745/akfr2b
title: read-me_Castaneda-Lenoir-Sanfratello-Thorel-ITS.pdf

description: :unav
DOI: 10.57745/4d1wk3
title: MANIFEST.txt

description: :unav
DOI: 10.4121/480e1fa5-e377-4e28-a96a-47f2932b9b39
title: Dataset for the study of CEO self-monitoring in organizations

description: We propose an unobtrusive measure of the self-monitoring of chief executive officers (CEOs) and examine its effect on firms’ innovation strategy and performance. A dataset of 220 CEOs of 108 U.S.-based firms operating in innovation-intensive industries between 1998 and 2018 show that CEOs’ self-monitoring positively associates with their firms’ innovation strategy fluctuation and mildness, and it stimulates innovation performance quality and extremeness. The results suggest that high self-monitoring CEOs favor innovation strategies that change significantly over time, but which tend to align with the innovation strategies of other firms in their innovation space. The findings further show that in innovation-intensive industries, high self-monitoring CEOs’ firms perform better than low self-monitoring CEOs’ firms, and their performance level tends to stem farther away from other innovation-intensive firms. Our main contribution is to the understanding of how CEOs’ self-monitoring personality affects firms’ innovation-related strategic choices and performance.
DOI: 10.4121/480e1fa5-e377-4e28-a96a-47f2932b9b39.v1
title: Dataset for the study of CEO self-monitoring in organizations

description: We propose an unobtrusive measure of the self-monitoring of chief executive officers (CEOs) and examine its effect on firms’ innovation strategy and performance. A dataset of 220 CEOs of 108 U.S.-based firms operating in innovation-intensive industries between 1998 and 2018 show that CEOs’ self-monitoring positively associates with their firms’ innovation strategy fluctuation and mildness, and it stimulates innovation performance quality and extremeness. The results suggest that high self-monitoring CEOs favor innovation strategies that change significantly over time, but which tend to align with the innovation strategies of other firms in their innovation space. The findings further show that in innovation-intensive industries, high self-monitoring CEOs’ firms perform better than low self-monitoring CEOs’ firms, and their performance level tends to stem farther away from other innovation-intensive firms. Our main contribution is to the understanding of how CEOs’ self-monitoring personality affects firms’ innovation-related strategic choices and performance.
DOI: 10.25345/c5pc2tk8p
title: MassIVE MSV000093101 - A modular turn-on strategy to profile E2-specific ubiquitination events in living cells
title: This dataset describes label-free quantification of E2-specific ubiquitinated species identified by a chemically-induced proximity approach, tCUbE.
DOI: 10.34740/kaggle/dsv/6684400
title: COVID Vaccination in World (updated daily)
DOI: 10.6084/m9.figshare.24125706
title: Supplementary Data

description: Carbon and nitrogen assimilation in Empetrum leaves, Empetrum fine roots, Empetrum fine root PLFA 18:2w6, and soil, in a greenhouse experiment.
DOI: 10.6084/m9.figshare.24125706.v1
title: Supplementary Data

description: Carbon and nitrogen assimilation in Empetrum leaves, Empetrum fine roots, Empetrum fine root PLFA 18:2w6, and soil, in a greenhouse experiment.
DOI: 10.5519/qd.x7zf3em4
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.21227/b05a-g382
title: Stock Index Price (SSEC, SZI, and SPX)

description: These are the daily closing prices of three stock indices including Shanghai Securities Composite Index (SSEC), the Shenzhen Securities Component Index (SZI) and the Standard & Poor 500 Index (SPX). The data is obtained from Yahoo Finance (https://finance.yahoo.com) and collated. The SSEC data is from December 19,1990 to May 25, 2023. The data of SZI is from April 3, 1991 to May 25, 2023, and the data of SPX is from December 3, 1990 to May 25, 2023. The total number of observations for SSEC, SZI and SPX is 7922, 7879 and 8184 respectively. This dataset can be used for evaluation of the forecasting models.
DOI: 10.25345/c5jm23s4x
title: MassIVE MSV000093102 - Convergent and divergent responses of the rhizosphere chemistry and bacterial communities to a stress gradient in the Atacama Desert.
title: Untargeted analysis of plant and rhizosphere samples from the Atacama Desert.
DOI: 10.5281/zenodo.10000773
title: Indoor Air Temperature and Occupant Behavior in Classroom of higher education building in Mediterranean climate

description: Data collection Include the measurement of indoor and outdoor environmental parameters (air temperature and relative humidity) and occupant interactions with building systems (window and door status: open/closed, blind state, and thermostat/air-conditioning adjustment).
The outdoor air temperature, relative humidity, and wind speed were collected as potential control variables to indicate different outdoor conditions.
The indoor air temperature and relative humidity in the classroom were monitored using wireless sensors. Six RHT sensors were placed at different locations: one in the center (F98), two on the ceiling next to grilles (FA1 et F9B), one on the carpentry of one of the windows (F9D), one near the writing board (F94), and one in the corridor outside the classroom (F96). Indoor parameters were recorded at ten minutes intervals.
The number of occupants was determined hourly (morning and afternoon) by counting and surveying (attendance sheets). The usage schedules of the classroom were 8:30–18:00. The number of occupants varied from 0 to 31.
The states of doors and windows (open or close) were monitored using magnetic sensor that detects the opening of doors and windows. The states of the door and windows were recorded at ten minute intervals.
The window-blind closing rate was determined by visual observation. The closing rates were 0%, 25%, 50%, 75%, and 100%. Observations were conducted throughout the day in the morning and afternoon at 1 h intervals.
The state of the heating/air-conditioning system was determined to be off or on every hour (in the morning and afternoon) using the HVAC control panel (HMI)
DOI: 10.5281/zenodo.10000772
title: Indoor Air Temperature and Occupant Behavior in Classroom of higher education building in Mediterranean climate

description: Data collection Include the measurement of indoor and outdoor environmental parameters (air temperature and relative humidity) and occupant interactions with building systems (window and door status: open/closed, blind state, and thermostat/air-conditioning adjustment).
The outdoor air temperature, relative humidity, and wind speed were collected as potential control variables to indicate different outdoor conditions.
The indoor air temperature and relative humidity in the classroom were monitored using wireless sensors. Six RHT sensors were placed at different locations: one in the center (F98), two on the ceiling next to grilles (FA1 et F9B), one on the carpentry of one of the windows (F9D), one near the writing board (F94), and one in the corridor outside the classroom (F96). Indoor parameters were recorded at ten minutes intervals.
The number of occupants was determined hourly (morning and afternoon) by counting and surveying (attendance sheets). The usage schedules of the classroom were 8:30–18:00. The number of occupants varied from 0 to 31.
The states of doors and windows (open or close) were monitored using magnetic sensor that detects the opening of doors and windows. The states of the door and windows were recorded at ten minute intervals.
The window-blind closing rate was determined by visual observation. The closing rates were 0%, 25%, 50%, 75%, and 100%. Observations were conducted throughout the day in the morning and afternoon at 1 h intervals.
The state of the heating/air-conditioning system was determined to be off or on every hour (in the morning and afternoon) using the HVAC control panel (HMI)