cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15151/esrf-dc-1415079329
title: Modelisation of the beam spectra at BM18 as a function of the experimental setup

description: Providing an excel calculator. Parameters can be adjusted: different attenuators, filters, distance, sample environment, slits, scintillator, optics, detector. The effective spectral shape is given. Contains two excel sheets already configured to produce the spectra used for the EPR algorithm validation.
DOI: 10.6084/m9.figshare.24212415
title: Data for "Controls and significance of priming effects in lake sediments" by Bartosiewicz et al.,

description: This dataset contains all the results used to generate figures and text for the Controls and significance of priming effects in lake sediments" by Bartosiewicz et al., (Global Change Biology)
DOI: 10.17632/kpzf77xmrw.1
title: Environmental Protection Tax and Firms’ ESG Investment: Evidence from China

description: Does environmental protection tax (EPT) improve firms’ environmental governance performance? Previous studies ignore that EPT affects firms' environmental governance behavior by increasing discharge and non-compliance costs. To fill this gap, we estimate the impact of EPT on firms' environmental, social, and governance (ESG) investments using Chinese listed firms during 2013-2020. we propose two key hypothesises: "Hypothesis 1A. EPT increases the firm’s green-producing and green-responsibility investment" and "Hypothesis 1B. EPT improves the quality of a firm’s environmental information disclosure". We estimate the impact of EPT on firms' environmental, social, and governance (ESG) investments using Chinese listed firms during 2013-2020. To evaluate firms’ ESG activities, we construct specific E, S, and G indicators relating to the environment, including the firm’s green-producing investment, green responsibility investment, and environmental information disclosure, which highlight the key impact of EPT on firms’ environmental governance. The three dimensions (E, S, and G) of ESG are often considered independent in most studies. but they can be relevant on an environmental level, reflecting the different ways in which corporate environmental governance is conducted. EPT is measured at the firm level using pollution discharge fees from 2013 to 2017 and pollution discharge taxes from 2018 to 2020. We find that EPT significantly forces firms to engage in more ESG activities after controlling for firm characteristics, firm-level, and year-level fixed effects. Our findings are robust to IV approaches, Heckman Correction, panel Generalized Method of Moments (GMM) estimations, an alternative EPT measure (EPT standards at the prefecture-level city), and ESG measures (ESG scores from a third party), as well as a group test. We also investigate the channel through which EPT boosts firms' ESG activities. One is an increasing tax payment as polluting discharges increase. The other is the ex-post noncompliance cost because EPT imposes strict penalties on violators, it includes illegal costs, negotiation costs, and litigation costs. We find that EPT has a positive impact on ESG in firms with greater cost pressure, which is measured by highly polluting industries and experiences with environmental controversy. Furthermore, we find that the ESG improvements are more significant in firms that are privately controlled, located in areas with sound environmental protection justice, and have weaker competitiveness.
DOI: 10.17632/4bkgmjzwsg.1
title: 定量

description: LI TANG DING ZHEN DATA
DOI: 10.17632/c679smj535.1
title: Sanz-Fernandez et al., 2023 JDS

description: Supplementary figures
DOI: 10.17632/4pb72dsjws.1
title: Wood Tech

description: Plano de trabalho
DOI: 10.17632/hf6bkb3rdn.1
title: Brief data of microplastic accumulation in Solen dactylus in different seasons along the Khuddi creek, Indus Delta, Pakistan

description: This dataset shows the abundance, types, and colors of microplastics, as well as the weight and length of Solen dactylus, collected from the Khuddi Creek, Indus Delta, Pakistan. Khuddi Creek is a tidal creek in Sindh, Pakistan. The topography elevation above sea level is estimated to be -9999 meters. The samples were taken from Khuddi Creek (24.58307°N, 67.25061°E). The data set for Khuddi Creek consists of three CVS files. Each of these files contains the information about Solen dactylus’s weight and length, microplastic abundance, shapes, and colors. A complete description of the sampling location, sampling technique, microplastic particle extraction, and counting are given in tables. The following information is contained in each table: Date_YYYY-MM-DD = year-month-day sampling date Country_Region = the country or location from which the samples have been collected Location_name = the name of the beach where the samples were taken Location_lat = the sampling location's coordinates (latitude / N) Location_lon = the sampling location's coordinates (longitude / E) Transect = Each of the four transects/stations is represented by the letters A, B, C, and D. Transects are spaced 1 meter apart. Position =The samples were obtained from a 50 × 50 cm quadrat. The numbering system ranges from 1 to 12. Size_min_mm = smaller particle size in mm Size_max_mm = maximum particle size in mm Size_class = the name of the plastic piece size class (microplastics) Shell length in mm= the length of the shell in mm Meat length in mm= the length of the meat inside the shell in mm Shell and meat weight in g= the weight of the meat with shell in grams Microplastics types were classified into the following groups: fibers, fragments, films and microbeads. Colors were divided into five categories: black, red/pink, green, blue, and transparent.
DOI: 10.17632/hf6bkb3rdn.2
title: Brief data of microplastic accumulation in Solen dactylus in different seasons along the Khuddi creek, Indus Delta, Pakistan

description: This dataset shows the abundance, types, and colors of microplastics, as well as the weight and length of Solen dactylus, collected from the Khuddi Creek, Indus Delta, Pakistan. Khuddi Creek is a tidal creek in Sindh, Pakistan. The topography elevation above sea level is estimated to be -9999 meters. The samples were taken from Khuddi Creek (24.58307°N, 67.25061°E). The data set for Khuddi Creek consists of three CVS files. Each of these files contains the information about Solen dactylus’s weight and length, microplastic abundance, shapes, and colors. A complete description of the sampling location, sampling technique, microplastic particle extraction, and counting are given in tables. The following information is contained in each table: Date_YYYY-MM-DD = year-month-day sampling date Country_Region = the country or location from which the samples have been collected Location_name = the name of the beach where the samples were taken Location_lat = the sampling location's coordinates (latitude / N) Location_lon = the sampling location's coordinates (longitude / E) Transect = Each of the four transects/stations is represented by the letters A, B, C, and D. Transects are spaced 1 meter apart. Position =The samples were obtained from a 50 × 50 cm quadrat. The numbering system ranges from 1 to 12. Size_min_mm = smaller particle size in mm Size_max_mm = maximum particle size in mm Size_class = the name of the plastic piece size class (microplastics) Shell length in mm= the length of the shell in mm Meat length in mm= the length of the meat inside the shell in mm Shell and meat weight in g= the weight of the meat with shell in grams Microplastics types were classified into the following groups: fibers, fragments, films and microbeads. Colors were divided into five categories: black, red/pink, green, blue, and transparent.
DOI: 10.5281/zenodo.10184748
title: Raw Data for the Literature Review on the Requirements Engineering tools
DOI: 10.5281/zenodo.10184749
title: Raw Data for the Literature Review on the Requirements Engineering tools
DOI: 10.5281/zenodo.5469952
title: Cohort Study on Substance Use Risk Factors (C-SURF)

description: C-SURF is a 4-wave panel study on substance use and other non-substance related behaviors in a representative sample of 6000 young Swiss men. The first wave started in the years 2010-2012 when men were around 20 years of age and the last assessment was done in 2019-2020 when men were around 28 years. Besides substance use and behavoural addictions a multitude of behavioural, personal and environmental factors were measured (e.g. family background, personality, mental health, physical activity, etc). Measures are based on self-reported questionnaires.
DOI: 10.5281/zenodo.5469953
title: Cohort Study on Substance Use Risk Factors (C-SURF)

description: C-SURF is a 4-wave panel study on substance use and other non-substance related behaviors in a representative sample of 6000 young Swiss men. The first wave started in the years 2010-2012 when men were around 20 years of age and the last assessment was done in 2019-2020 when men were around 28 years. Besides substance use and behavoural addictions a multitude of behavioural, personal and environmental factors were measured (e.g. family background, personality, mental health, physical activity, etc). Measures are based on self-reported questionnaires.
DOI: 10.5281/zenodo.10158920
title: Dataset for Gidden et.al. 2023 Updated AR6 Mitigation Benchmarks using National Emissions Inventories

description: Scenario variables related to LULUCF emissions and removals in IPCC-assessed scenarios from AR6 calculated using OSCAR. Both direct fluxes, corresponding to model-reporting conventions, and indirect fluxes, which constitute an alignment factor to national inventories, are provided. See the original publication for more details (https://www.nature.com/articles/s41586-023-06724-y).
Change log from version 1

AR6 Reanalysis|OSCARv3.2|Emissions|CO2|AFOLU and AR6 Reanalysis|OSCARv3.2|Carbon Removal|Land are removed, users should explicitly calculate if needed but otherwise use direct and indirect fluxes.
AR6 Reanalysis|OSCARv3.2|Carbon Removal is now calculated only using the direct flux component (i.e., AR6 Reanalysis|OSCARv3.2|Carbon Removal|Land|Direct)
DOI: 10.5281/zenodo.8411053
title: Dataset for Gidden et.al. 2023 Updated AR6 Mitigation Benchmarks using National Emissions Inventories

description: Scenario variables related to LULUCF emissions and removals in IPCC-assessed scenarios from AR6 calculated using OSCAR. Both direct fluxes, corresponding to model-reporting conventions, and indirect fluxes, which constitute an alignment factor to national inventories, are provided. See the original publication for more details (https://www.nature.com/articles/s41586-023-06724-y).
Change log from version 1

AR6 Reanalysis|OSCARv3.2|Emissions|CO2|AFOLU and AR6 Reanalysis|OSCARv3.2|Carbon Removal|Land are removed, users should explicitly calculate if needed but otherwise use direct and indirect fluxes.
AR6 Reanalysis|OSCARv3.2|Carbon Removal is now calculated only using the direct flux component (i.e., AR6 Reanalysis|OSCARv3.2|Carbon Removal|Land|Direct)
DOI: 10.17632/g7fd4pzsfk.1
title: Raw data for "Association of toll-like receptors with the airway-intestinal microbiome and pneumonia development in preterm infants-a case control study"

description: Raw data for "Association of toll-like receptors with the airway-intestinal microbiome and pneumonia development in preterm infants-a case control study"
DOI: 10.6084/m9.figshare.24609774.v1
title: data_md5.txt

description: Transcriptomics database for Defense against oxidative stress in Caenorhabditis elegans by dark tea
DOI: 10.5281/zenodo.10184806
title: GPR - 22/11
DOI: 10.5281/zenodo.10184807
title: GPR - 22/11
DOI: 10.6084/m9.figshare.23454044
title: Technical Validation custom Python code

description: Custom Python script for the technical validation of Data Descriptor.
DOI: 10.6084/m9.figshare.23454044.v1
title: Technical Validation custom Python code

description: Custom Python script for the technical validation of Data Descriptor.
DOI: 10.6084/m9.figshare.23502060
title: Data

description: Data folder with individual participant subfolders and metafiles.
DOI: 10.6084/m9.figshare.23502060.v1
title: Data

description: Data folder with individual participant subfolders and metafiles.
DOI: 10.6084/m9.figshare.23501904
title: Stimulus material

description: instructional video set of all hand movements
DOI: 10.6084/m9.figshare.23275556
title: <b>Exploring Request Strategies in Austrian Italian Learners: Pragmatic Transfer Insights. Journal of Pragmatics. </b>

description: Instant-message requests produced by intermediate learners (N = 60) of Italian as a second language (L2) with Austrian German as their first language (L1) were quantitatively analyzed and compared with the same speech acts performed by L1 speakers of Italian (N = 60). A cross-cultural comparison of requests in L1 Austrian German and L1 Italian was conducted firstly to verify whether any divergent trends in the two groups could be attributed to negative pragmatic transfer from the learners’ L1. Cross-linguistic data were gathered through a multiple-choice questionnaire, L1 and L2 data through a discourse completion task. The analysis revealed minimal differences between L1 speakers of Italian and Austrian German in perceiving the most appropriate way to structure the request in terms of directness level and use of face-saving strategies. A substantial alignment of learners’ realizations with those of L1 speakers was found in the overall structuring of the request, except that L1 speakers exhibited a stronger tendency to apologize. As for the use of modifiers, small differences were found in the total number as well as in the preference for some types over others. The findings suggest that any effects of transfer from L1 Austrian German to L2 Italian are generally positive.
DOI: 10.5281/zenodo.5244109
title: Paper data and code of manuscript: Intraspecific variation on heat tolerance in a model ectotherm: effects of body mass, cell size, oxygen and sex

description: When using the data or code from this manuscript, please cite it as:
Leiva FP, Santos M, Rezende E, & Verberk WCEP. 2021. Paper data and code of manuscript: Intraspecific variation on heat tolerance in a model ectotherm: effects of body mass, cell size, oxygen and sex. Zenodo. https://doi.org/10.5281/zenodo.5120028.
DOI: 10.5281/zenodo.5120028
title: Paper data and code of manuscript: Intraspecific variation on heat tolerance in a model ectotherm: effects of body mass, cell size, oxygen and sex

description: When using the data or code from this manuscript, please cite it as:
Leiva FP, Santos M, Rezende E, & Verberk WCEP. 2021. Paper data and code of manuscript: Intraspecific variation on heat tolerance in a model ectotherm: effects of body mass, cell size, oxygen and sex. Zenodo. https://doi.org/10.5281/zenodo.5120028.
DOI: 10.18712/nsd-nsd2689-v6
title: Norwegian Citizen Panel Round 14, 2019

description: The Norwegian Citizen Panel is a platform for internet surveys of public opinion in important areas of society and politics in Norway. Participants are randomly recruited from the Norwegian population register, and they are encouraged to participate over time. The panel was fielded for the first time the fall of 2013 and as of 2017 the survey is carried out three times a year. The data set for The Norwegian Citizen Panel Wave 14, 2019 also contains variables from previous waves, the wave number is indicated by the number after "r" in the variable name. The University of Bergen owns and is responsible for the Citizen panel. The company ideas2evidence recruits respondents, produces the survey, and provides documentation of the data. Data is stored and shared by Sikt - Norwegian Agency for Shared Services in Education and Research. The different datasets of the Norwegian Citizen Panel have different ID numbers to prevent the identification of individual participants across rounds. If access to data that follows participants over time (time-series/panel data) is desired, then it must be applied for by contacting DIGSSCORE (uib.no/digsscore / digsscore@uib.no). The same applies to text data and other data that is withheld in these datasets for privacy reasons. The Norwegian Citizen Panel welcomes research proposals for survey content. More information about calls and other updates are available at www.uib.no/en/citizen

The full text for the answer options can be found in the codebook, which is located further down the page.
DOI: 10.18712/nsd-nsd2743-v6
title: Norwegian Citizen Panel Round 15, 2019

description: The Norwegian Citizen Panel is a platform for internet surveys of public opinion in important areas of society and politics in Norway. Participants are randomly recruited from the Norwegian population register, and they are encouraged to participate over time. The panel was fielded for the first time the fall of 2013 and as of 2017 the survey is carried out three times a year. The data set for The Norwegian Citizen Panel Wave 15, 2019 also contains variables from previous waves, the wave number is indicated by the number after "r" in the variable name. The University of Bergen owns and is responsible for the Citizen panel. The company ideas2evidence recruits respondents, produces the survey, and provides documentation of the data. Data is stored and shared by Sikt - Norwegian Agency for Shared Services in Education and Research. The different datasets of the Norwegian Citizen Panel have different ID numbers to prevent the identification of individual participants across rounds. If access to data that follows participants over time (time-series/panel data) is desired, then it must be applied for by contacting DIGSSCORE (uib.no/digsscore / digsscore@uib.no). The same applies to text data and other data that is withheld in these datasets for privacy reasons. The Norwegian Citizen Panel welcomes research proposals for survey content. More information about calls and other updates are available at www.uib.no/en/citizen

The full text for the answer options can be found in the codebook, which is located further down the page.
DOI: 10.18712/nsd-nsd2902-v5
title: Norwegian Citizen Panel Round 16, 2019

description: The Norwegian Citizen Panel is a platform for internet surveys of public opinion in important areas of society and politics in Norway. Participants are randomly recruited from the Norwegian population register, and they are encouraged to participate over time. The panel was fielded for the first time the fall of 2013 and as of 2017 the survey is carried out three times a year. The data set for The Norwegian Citizen Panel Wave 16, 2019 also contains variables from previous waves, the wave number is indicated by the number after "r" in the variable name. The University of Bergen owns and is responsible for the Citizen panel. The company Ideas 2 Evidence recruits respondents, produces the survey, and provides documentation of the data. Data is stored and shared by Sikt - Norwegian Agency for Shared Services in Education and Research. The different datasets of the Norwegian Citizen Panel have different ID numbers to prevent the identification of individual participants across rounds. If access to data that follows participants over time (time-series/panel data) is desired, then it must be applied for by contacting DIGSSCORE (uib.no/digsscore / digsscore@uib.no). The same applies to text data and other data that is withheld in these datasets for privacy reasons. The Norwegian Citizen Panel welcomes research proposals for survey content. More information about calls and other updates is available at www.uib.no/en/citizen

The full text for the answer options can be found in the codebook, which is located further down the page.
DOI: 10.5517/ccdc.csd.cc20kk05
title: CCDC 1863906: Experimental Crystal Structure Determination

description: Related Article: Shuang-Shuang Zhu, Zhen-Lang Xie, Lan Deng, Si-Yuan Wang, Lu-Bin Ni, Zhao-Hui Zhou|2023|Dalton Trans.|52|16849|doi:10.1039/D3DT02903D
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.cc209xnx
title: CCDC 1856579: Experimental Crystal Structure Determination

description: Related Article: Tim Gruene, Julian J. Holstein, Julian T. C. Wennmacher, Christan Zaubitzer, Jonas Heidler, Ariane Fecteau-Lefebvre, Sacha De Carlo, Elisabeth Müller, Kenneth N. Goldie, Irene Regeni, Teng Li, Gustavo Santiso-Quinones, Gunther Steinfeld, Stephan Handschin, Eric van Genderen, Jeroen A. van Bokhoven, Guido H. Clever, Radosav Pantelic|2018|Angew.Chem.,Int.Ed.|57|16313|doi:10.1002/anie.201811318
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.10184826
title: Autorepairability: A New Software Quality Characteristic

description: A dataset for the SANER 2024 ERA track submission titled "Autorepairability: A New Software Quality Characteristic."
DOI: 10.5281/zenodo.10184827
title: Autorepairability: A New Software Quality Characteristic

description: A dataset for the SANER 2024 ERA track submission titled "Autorepairability: A New Software Quality Characteristic."
DOI: 10.5281/zenodo.7021448
title: QM9-extended-plus database

description: QM9-extended database was further extended with 1873 compounds consisting chlorine atoms.
description: License CC-BY-NC-SA The database is connected with the following preprint: https://doi.org/10.26434/chemrxiv-2022-9h79w
DOI: 10.5281/zenodo.7845173
title: QM9-extended-plus database

description: QM9-extended database was further extended with 1781 compounds consisting chlorine atoms.
description: License CC-BY-NC-SA The database is connected with the following preprint: https://doi.org/10.26434/chemrxiv-2022-9h79w
DOI: 10.6084/m9.figshare.24609774
title: Transcriptomics database for "Defense against oxidative stress in Caenorhabditis elegans by dark tea"

description: Transcriptomics database for Defense against oxidative stress in Caenorhabditis elegans by dark tea
DOI: 10.6084/m9.figshare.24609774.v2
title: Transcriptomics database for "Defense against oxidative stress in Caenorhabditis elegans by dark tea"

description: Transcriptomics database for Defense against oxidative stress in Caenorhabditis elegans by dark tea
DOI: 10.6084/m9.figshare.24609774.v3
title: Transcriptomics database for "Defense against oxidative stress in Caenorhabditis elegans by dark tea"

description: Transcriptomics database for Defense against oxidative stress in Caenorhabditis elegans by dark tea
DOI: 10.14473/csda/dqeyx0/engobr
title: data_ZOR.tab

description: Data
DOI: 10.14473/csda/dqeyx0/8sogid
title: TI02_VUPSV00013.pdf

description: Technická informace 02 - Zpráva z výzkumu
DOI: 10.14473/csda/dqeyx0/ulp0qp
title: TI01_VUPSV00013.pdf

description: Technická informace 01
DOI: 10.14473/csda/dqeyx0/0dilrv
title: D_VUPSV00013.pdf

description: Dotazník
DOI: 10.5523/bris.1t0knt8vya7ii2if77c493w942
title: Data for AM printing sodium polyacrylate

description: This repository contains data pertaining to the article: Daniel Gosden, Matthew Studley, and Jonathan Rossiter, Material extrusion of sodium polyacrylate superabsorbent polymer, Additive Manufacturing, 2023 (doi: 10.1016/j.addma.2023.103886).
DOI: 10.7303/syn53025687.1
title: Dataset_Test-retest reliability and normative data Seven-iTT.xlsx
DOI: 10.14473/csda/g6pymz/apkzkz
title: A_0054.tab

description: Data
DOI: 10.14473/csda/g6pymz/eijbcj
title: D_VUPSV00010.pdf

description: Dotazník
DOI: 10.14473/csda/g6pymz/y2hpeh
title: OM_VUPSV00010.pdf

description: Ostatní materiály