cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/5zfnv5
title: Rudogorites simonei gen. nov. and sp. nov. from Central Bosnia (Coleoptera: Leiodidae: Cholevinae: Leptodirini)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Polak, Slavko, Mulaomerović, Jasminko (2021): Rudogorites simonei gen. nov. and sp. nov. from Central Bosnia (Coleoptera: Leiodidae: Cholevinae: Leptodirini). Zootaxa 5061 (3): 545-558, DOI: https://doi.org/10.11646/zootaxa.5061.3.8
DOI: 10.25345/c5h28w
title: MassIVE MSV000088350 - GNPS_Fungi_Aspergillus_Mycotoxin
title: Fungi samples. Aspergillus. Mycotoxin. Analysis with LCMS-IT-TOF
DOI: 10.5281/zenodo.5676145
title: Data set for the paper "Temperatures and cooling rates recorded by the New Caledonia ophiolite: implications for cooling mechanisms in young forearc sequences"

description: Tables 1-3 and Tables S1-S4
DOI: 10.5281/zenodo.5676144
title: Data set for the paper "Temperatures and cooling rates recorded by the New Caledonia ophiolite: implications for cooling mechanisms in young forearc sequences"

description: Tables 1-3 and Tables S1-S4
DOI: 10.5066/p9qst8ox
title: Groundwater Well Data and Annual Groundwater Pumpage Data (1984 - 2019) in Altar Valley, Arizona

description: This data release contains groundwater well data and annual groundwater pumpage data for Altar Valley. Groundwater Well Data: The following are well attributes that were retrieved for sites within the study area: Well Name Site-identification no. Latitude and Longitude in NAD83 Altitude of land surface in NAVD88 Depth of hole Depth of well Type of Well Log Arizona Department of Water Resources (ADWR) registration no. Arizona State Land Department (ASLD) registration no. Refuge Well Annual Groundwater Pumpage Data: The USGS summarized annual pumpage data from the Arizona Department of Water Resources for the Altar Valley groundwater area for the years between 1984 and 2019. This dataset contains annual pumpage for the Southern part of Altar Valley, the Northern part of Altar Valley and the total annual pumpage for Altar Valley.
DOI: 10.15468/r25nuy
title: A new species of the genus Gaucha Mello-Leitão, 1924 from Minas Gerais, Brazil (Solifugae, Mummuciidae)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Souza, Maysa F. V. R., Ferreira, Rodrigo L., Carvalho, Leonardo S. (2021): A new species of the genus Gaucha Mello-Leitão, 1924 from Minas Gerais, Brazil (Solifugae, Mummuciidae). Zootaxa 5061 (3): 559-572, DOI: https://doi.org/10.11646/zootaxa.5061.3.9
DOI: 10.5281/zenodo.5676154
title: The fate of sediment after a large earthquake

description: This folder contains the Supplemental material related to Francis et al 2021; The fate of sediment after a large earthquake, Submitted to JGR Earth Surface<br> The folder contains 3 sub-folders and 2 excel spreadsheets. ChannelWidthSurveys - This folder contains the shape files of the 17 surveyed catchments and the jupyter notebook (ChannelDepositNotebook.ipynb) which is used to generate the Tributary channel deposit sediment budget. MassMovementInventory - This folder contains the shapefiles which are the basis of the mass movement sediment budget. More information on the origin and the attributes of these files can be found in Fan, X. et al. 2019. Two multi-temporal datasets that track the enhanced landsliding after the 2008 Wenchuan earthquake. Earth System Science Data 11(1), pp. 35–55. Available at: https://www.earth-syst-sci-data.net/11/35/2019/. MassBalanceFiles - This folder contains the jupyter notebook (MonteCarloSedimentBudgets.ipynb) which generates the sediment budget described in Francis et al 2021. The .txt and .csv files are the inputs and outputs of this notebook. See the notebook itself for more information on these files. TributaryChannelDepositSedimentBudget.xlsx - This file is the excel folder showing the processed results of ChannelDepositNotebook.ipynb. The file contains the final results and the processing methodology to allow the reader to reproduce the results. MassBudget.xlsx - This folder contains the final results of the sediment budget described in Francis et al, 2021. This excel file is made up of copying and pasting the output .txt files of MonteCarloSedimentBudgets.ipynb.
DOI: 10.5281/zenodo.5676153
title: The fate of sediment after a large earthquake

description: This folder contains the Supplemental material related to Francis et al 2021; The fate of sediment after a large earthquake, Submitted to JGR Earth Surface<br> The folder contains 3 sub-folders and 2 excel spreadsheets. ChannelWidthSurveys - This folder contains the shape files of the 17 surveyed catchments and the jupyter notebook (ChannelDepositNotebook.ipynb) which is used to generate the Tributary channel deposit sediment budget. MassMovementInventory - This folder contains the shapefiles which are the basis of the mass movement sediment budget. More information on the origin and the attributes of these files can be found in Fan, X. et al. 2019. Two multi-temporal datasets that track the enhanced landsliding after the 2008 Wenchuan earthquake. Earth System Science Data 11(1), pp. 35–55. Available at: https://www.earth-syst-sci-data.net/11/35/2019/. MassBalanceFiles - This folder contains the jupyter notebook (MonteCarloSedimentBudgets.ipynb) which generates the sediment budget described in Francis et al 2021. The .txt and .csv files are the inputs and outputs of this notebook. See the notebook itself for more information on these files. TributaryChannelDepositSedimentBudget.xlsx - This file is the excel folder showing the processed results of ChannelDepositNotebook.ipynb. The file contains the final results and the processing methodology to allow the reader to reproduce the results. MassBudget.xlsx - This folder contains the final results of the sediment budget described in Francis et al, 2021. This excel file is made up of copying and pasting the output .txt files of MonteCarloSedimentBudgets.ipynb.
DOI: 10.18112/openneuro.ds003889.v1.0.0
title: Somatosensory evoked potentials in the human spinal cord to mixed and sensory nerve stimulation
DOI: 10.6084/m9.figshare.16990036
title: DO wikidata subse

description: This is a subset from wikidata generate with a Shape Expression during the Biohackathon Europe 2021. It was extracted using ShEx.js
DOI: 10.6084/m9.figshare.16990036.v1
title: DO wikidata subse

description: This is a subset from wikidata generate with a Shape Expression during the Biohackathon Europe 2021. It was extracted using ShEx.js
DOI: 10.15139/s3/kqkjnp
title: Air Quality Index (PM2.5 AQI)

description: The data reports daily maximum air quality index (AQI) levels, which are calculated using measurements of fine particulate matter (PM 2.5). It includes measurements for the 47 counties in North Carolina that have at least one active sensor. Because air quality varies significantly by location and sensors are usually located around areas that may experience air quality issues, this data is not representative of each county’s overall air quality. AQI values are a normalized index from 0-500 with ranges that represent different levels of air quality, with lower numbers indicating better quality and higher numbers representing worse air quality. The processed data was obtained as a .csv file containing the daily maximum AQI value for each sensor in North Carolina from 2017 to the present. Air quality sensors usually have a representative radius of approximately 1-5 kilometers.
DOI: 10.5281/zenodo.5676176
title: Strong perceptual consequences of low-level visual predictions: a new illusion

description: Experimental data.
DOI: 10.5281/zenodo.5676175
title: Strong perceptual consequences of low-level visual predictions: a new illusion

description: Experimental data.
DOI: 10.5517/ccdc.csd.cc23hj49
title: CCDC 1951330: Experimental Crystal Structure Determination

description: Related Article: Jin Wang, Zhi-Meng Zhang, Ming-Xue Li|2022|Inorg.Chim.Acta|530|120671|doi:10.1016/j.ica.2021.120671
DOI: 10.5517/ccdc.csd.cc23hj8f
title: CCDC 1951334: Experimental Crystal Structure Determination

description: Related Article: Jin Wang, Yu-Ting Wang, Jiang-Nan Chang, Ming-Xue Li|2021|Inorg.Chem.Commun.|123|108365|doi:10.1016/j.inoche.2020.108365
description: Related Article: Jin Wang, Zhi-Meng Zhang, Ming-Xue Li|2022|Inorg.Chim.Acta|530|120671|doi:10.1016/j.ica.2021.120671
DOI: 10.15468/vvme5d
title: Zingiber calcicola (Zingiberaceae), a new species from a limestone area in south Yunnan, China

description: This dataset contains the digitized treatments in Plazi based on the original journal article Ding, Hong-Bo, Quan, Dong-Li, Zeng, Xiao-Dong, Li, Jian-Wu, Tan, Yun-Hong (2021): Zingiber calcicola (Zingiberaceae), a new species from a limestone area in south Yunnan, China. Phytotaxa 525 (1): 65-69, DOI: 10.11646/phytotaxa.525.1.8
DOI: 10.5066/p9ta1di9
title: Public supply, self-supplied domestic, irrigation, and thermoelectric water-use data from 5-year compilation datasets from 1985 to 2015 used to assess data variability and uncertainty

description: The U.S. Geological Survey (USGS) National Water Use Program is responsible for compiling and disseminating the Nation's water-use data. Working in cooperation with local, State, and Federal agencies, the USGS has published an estimate of water use in the United States every 5 years, beginning in 1950. These 5-year compilations contain water-use estimates that are aggregated to the county level in the United States. This USGS data release contains summaries of method codes used in the 2015 national compilation of public supply, self-supplied domestic, thermoelectric, and irrigation water-use data. This data release also contains the county-level water-use estimates that support the evaluations in Luukkonen and others (2021). Finally, this data release contains summaries of regional medians and interquartile ranges from 1985 to 2015 that were used to highlight areas of unexpected variability, consistency and/or potential values that warrant further investigation. This data release supports the following publication: Luukkonen, C.L., Belitz, K., Sullivan, S.L., and Sargent, P., 2021, Factors affecting uncertainty of public supply, self-supplied domestic, irrigation, and thermoelectric water-use data, 1985-2015-Evaluation of information sources, estimation methods, and data variability: U.S. Geological Survey Scientific Investigations Report 2021-5082, 78 p., https://doi.org/10.3133/sir20215082.
DOI: 10.5281/zenodo.5676187
title: In search for Old Greek readings: The Old Latin manuscript Palimpsestus Vindobonensis (La115) in 2 Samuel - the collation file for SBL 2021

description: Collected cases for my SBL 2021 paper "In search for Old Greek readings: The Old Latin manuscript Palimpsestus Vindobonensis (La115) in 2 Samuel"
DOI: 10.5281/zenodo.5676186
title: In search for Old Greek readings: The Old Latin manuscript Palimpsestus Vindobonensis (La115) in 2 Samuel - the collation file for SBL 2021

description: Collected cases for my SBL 2021 paper "In search for Old Greek readings: The Old Latin manuscript Palimpsestus Vindobonensis (La115) in 2 Samuel"
DOI: 10.5281/zenodo.5676182
title: Li_et_al_2021_MASGC_Dataset

description: This dataset contains the underlying data for the following publication: Li, R., Perdana, S., Vielle, M. (2021), Potential integration of Chinese and European emissions trading market: welfare distribution analysis, Mitigation and Adaptation Strategies for Global Change, 26:22 https://doi.org/10.1007/s11027-021-09960-7.
DOI: 10.5281/zenodo.5676181
title: Li_et_al_2021_MASGC_Dataset

description: This dataset contains the underlying data for the following publication: Li, R., Perdana, S., Vielle, M. (2021), Potential integration of Chinese and European emissions trading market: welfare distribution analysis, Mitigation and Adaptation Strategies for Global Change, 26:22 https://doi.org/10.1007/s11027-021-09960-7.
DOI: 10.15468/yyacvm
title: Dichoropetalum viarium (Apiaceae), a new species from Lorestan Province, Western Iran

description: This dataset contains the digitized treatments in Plazi based on the original journal article Lyskov, Dmitry, Zarre, Shahin, Samigullin, Tahir, Kljuykov, Eugene (2021): Dichoropetalum viarium (Apiaceae), a new species from Lorestan Province, Western Iran. Phytotaxa 525 (1): 15-25, DOI: 10.11646/phytotaxa.525.1.2
DOI: 10.5281/zenodo.5676201
title: msd-errors - Data for scaling figures

description: Data for a figure that shows the scaling of uncertainty as a function of simulation length and number of atoms and step size, for both true and anitcorrelated random walks. This compares the kinisi approach (on just 32 unique walks) with the numerical values from (1024 unique walks). <br><br>Created using showyourwork from this GitHub repo.
DOI: 10.5281/zenodo.5676044
title: Data from the Groningen case

description: These data include the survey data on the Noorderplantsoen 25 year later, and the transcriptions of the interviews with a number of stakeholders.
DOI: 10.5281/zenodo.5676043
title: Data from the Groningen case

description: These data include the survey data on the Noorderplantsoen 25 year later, and the transcriptions of the interviews with a number of stakeholders.
DOI: 10.5281/zenodo.5674581
title: Data used in "Storms drive outgassing of CO2 in the Subpolar Southern Ocean"

description: <strong>Description: </strong> The data included in this repository were used to generate the analysis and resulting figures for the paper "Storms drive outgassing of CO<sub>2</sub> in the subpolar Southern Ocean" in Nature Communications. Abstract: "The subpolar Southern Ocean is a critical region where CO<sub>2</sub> outgassing influences the global mean air-sea CO<sub>2</sub> flux (F<sub>CO2</sub>). However, the processes controlling the outgassing remain elusive. We show, using an unprecedented multi-glider dataset combining F<sub>CO2</sub> and ocean turbulence, that the air-sea gradient of CO2 (∆pCO<sub>2</sub>) is modulated by synoptic storm-driven ocean variability (20 µatm, 1-10 days) through two processes. Ekman transport explains 60% of the variability, and entrainment drives strong episodic CO<sub>2</sub> outgassing events of 2-4 mol m<sup>-2</sup> yr<sup>-1</sup>. Extrapolation across the subpolar Southern Ocean using a process model shows how ocean fronts spatially modulate synoptic variability in ∆pCO<sub>2</sub> (6 µatm<sup>2</sup> average) and how spatial variations in stratification influence synoptic entrainment of deeper carbon into the mixed layer (3.5 mol m<sup>-2</sup> yr<sup>-1</sup> average). These results not only constrain aliased-driven uncertainties in F<sub>CO2</sub> but also the effects of synoptic variability on slower seasonal or longer ocean physics-carbon dynamics." In this study, we first use a two-month dataset from the Southern Ocean Seasonal Cycle Experiment (SOSCEx) which utilised multiple autonomous platforms to simultaneously observe the coupled atmosphere - ocean system, in high-resolution, in the Atlantic sector of the subpolar Southern Ocean. Corresponding processed data for this experiment used by this study is provided in the folder /Data/SOSCEx_STORM2_Glider_Data. Using these data we explain how storms influence, through ocean mixed layer physics (advection and mixing), the direction and magnitude of the air-sea CO<sub>2 </sub>gradient (∆pCO<sub>2</sub>) and flux (F<sub>CO2</sub>) over the duration of the experiment. We construct a conceptual ocean mixed layer model that captures the observed synoptic variability of ∆pCO<sub>2</sub> in the observations, we estimate the synoptic variability around the entire subpolar Southern Ocean. The relating data for this second step can be found under /Data/Generalisation <strong>Related code:</strong> The data files provided are those that are required to create the figures for this study and/or perform key analyses. Each figure or analysis has an associated python script. Auxiliary data that are not provided in this repository are available in other public repositories and have been referred to in the main study manuscript and in each of the python scripts where they are used. The python scripts for this study are found at the corresponding authors GitHub at https://github.com/sarahnicholson/SouthernOceanStormsCO2.
DOI: 10.5281/zenodo.5674580
title: Data used in "Storms drive outgassing of CO2 in the Subpolar Southern Ocean"

description: <strong>Description: </strong> The data included in this repository were used to generate the analysis and resulting figures for the paper "Storms drive outgassing of CO<sub>2</sub> in the subpolar Southern Ocean" in Nature Communications. Abstract: "The subpolar Southern Ocean is a critical region where CO<sub>2</sub> outgassing influences the global mean air-sea CO<sub>2</sub> flux (F<sub>CO2</sub>). However, the processes controlling the outgassing remain elusive. We show, using an unprecedented multi-glider dataset combining F<sub>CO2</sub> and ocean turbulence, that the air-sea gradient of CO2 (∆pCO<sub>2</sub>) is modulated by synoptic storm-driven ocean variability (20 µatm, 1-10 days) through two processes. Ekman transport explains 60% of the variability, and entrainment drives strong episodic CO<sub>2</sub> outgassing events of 2-4 mol m<sup>-2</sup> yr<sup>-1</sup>. Extrapolation across the subpolar Southern Ocean using a process model shows how ocean fronts spatially modulate synoptic variability in ∆pCO<sub>2</sub> (6 µatm<sup>2</sup> average) and how spatial variations in stratification influence synoptic entrainment of deeper carbon into the mixed layer (3.5 mol m<sup>-2</sup> yr<sup>-1</sup> average). These results not only constrain aliased-driven uncertainties in F<sub>CO2</sub> but also the effects of synoptic variability on slower seasonal or longer ocean physics-carbon dynamics." In this study, we first use a two-month dataset from the Southern Ocean Seasonal Cycle Experiment (SOSCEx) which utilised multiple autonomous platforms to simultaneously observe the coupled atmosphere - ocean system, in high-resolution, in the Atlantic sector of the subpolar Southern Ocean. Corresponding processed data for this experiment used by this study is provided in the folder /Data/SOSCEx_STORM2_Glider_Data. Using these data we explain how storms influence, through ocean mixed layer physics (advection and mixing), the direction and magnitude of the air-sea CO<sub>2 </sub>gradient (∆pCO<sub>2</sub>) and flux (F<sub>CO2</sub>) over the duration of the experiment. We construct a conceptual ocean mixed layer model that captures the observed synoptic variability of ∆pCO<sub>2</sub> in the observations, we estimate the synoptic variability around the entire subpolar Southern Ocean. The relating data for this second step can be found under /Data/Generalisation <strong>Related code:</strong> The data files provided are those that are required to create the figures for this study and/or perform key analyses. Each figure or analysis has an associated python script. Auxiliary data that are not provided in this repository are available in other public repositories and have been referred to in the main study manuscript and in each of the python scripts where they are used. The python scripts for this study are found at the corresponding authors GitHub at https://github.com/sarahnicholson/SouthernOceanStormsCO2.
DOI: 10.14457/cu.the.2005.1932
title: การกำหนดกลยุทธ์ระดับธุรกิจ สำหรับการผลิตบรรจุภัณฑ์พลาสติก /
DOI: 10.14457/cu.the.2005.1933
title: การพัฒนาสารเคลือบเชลเล็กเพื่อยืดอายุ การเก็บรักษามะม่วงน้ำดอกไม้และมังคุด
DOI: 10.6084/m9.figshare.16989856
title: GEOS-Chem_idealized_tracers_daily_2008-2010

description: 2008-2010 JJA abd DJF daily near surface tracer concentrations from GEOS-Chem simulations of idealized tracers emitted at different latitudinal bands and with different loss times. See Kerr et al. 2021 (doi:10.1029/2020JD032735) for more details.<br>
DOI: 10.14457/cu.the.2005.1934
title: จรรยาวิพากษ์ของแพทย์ไทย
DOI: 10.14457/cu.the.2005.1935
title: Microemulsion electrokinetic chromatography for separation and analysis of avermectin macrocyclic lactones
DOI: 10.15468/wxrayc
title: A new and endangered species of Justicia L. (Justicieae-Acanthaceae) from the riparian forests of northern Goiás State, Brazil

description: This dataset contains the digitized treatments in Plazi based on the original journal article Silva, Marcos José Da (2021): A new and endangered species of Justicia L. (Justicieae-Acanthaceae) from the riparian forests of northern Goiás State, Brazil. Phytotaxa 525 (1): 37-45, DOI: 10.11646/phytotaxa.525.1.4
DOI: 10.6084/m9.figshare.13118134
title: Does the learning environment ‘make the grade’? A systematic review of accommodations for children on the autism spectrum in mainstream school

description: The 2030 Agenda for Sustainable Development adapted by the United Nations envisions inclusive and equitable quality education. While there is a growing body of research on interventions designed to help children on the autism spectrum adapt to the school environment, accommodations to children needs have been given less attention. To synthesize the literature on accommodations in the learning environment for children on the autism spectrum (ages 5–19 years) in mainstream school, with a specific focus on the effects on functioning, educational outcomes and well-being. A systematic search was conducted. The study selection and data extraction were performed by two independent reviewers. Eligible studies were assessed according to the <i>What Works Clearinghouse</i> (WWC) standards. The search yielded 6102 citations. Only 37 eligible studies were identified, of which 14 met the WWC standards. This inconclusive and heterogeneous body of research tentatively suggest that accommodations in the pedagogical and psychosocial leaning environment can improve performance and function in school. Accommodations in the learning environment is a promising but understudied approach. Creative research and innovation will be needed to support policy makers and school personnel in their quest to ensure inclusive and equitable education.
DOI: 10.6084/m9.figshare.13118134.v1
title: Does the learning environment ‘make the grade’? A systematic review of accommodations for children on the autism spectrum in mainstream school

description: The 2030 Agenda for Sustainable Development adapted by the United Nations envisions inclusive and equitable quality education. While there is a growing body of research on interventions designed to help children on the autism spectrum adapt to the school environment, accommodations to children needs have been given less attention. To synthesize the literature on accommodations in the learning environment for children on the autism spectrum (ages 5–19 years) in mainstream school, with a specific focus on the effects on functioning, educational outcomes and well-being. A systematic search was conducted. The study selection and data extraction were performed by two independent reviewers. Eligible studies were assessed according to the <i>What Works Clearinghouse</i> (WWC) standards. The search yielded 6102 citations. Only 37 eligible studies were identified, of which 14 met the WWC standards. This inconclusive and heterogeneous body of research tentatively suggest that accommodations in the pedagogical and psychosocial leaning environment can improve performance and function in school. Accommodations in the learning environment is a promising but understudied approach. Creative research and innovation will be needed to support policy makers and school personnel in their quest to ensure inclusive and equitable education.
DOI: 10.15468/xqfba4
title: DNA barcodes for Cladocera and Copepoda from Mexico and Guatemala, highlights and new discoveries

description: This dataset contains the digitized treatments in Plazi based on the original journal article Elías-Gutiérrez, Manuel, Jerónimo, Fernando Martínez, Ivanova, Natalia V., Valdez-Moreno, Martha, Hebert, Paul D. N. (2008): DNA barcodes for Cladocera and Copepoda from Mexico and Guatemala, highlights and new discoveries. Zootaxa 1839 (1): 1-42, DOI: 10.11646/zootaxa.1839.1.1, URL: https://biotaxa.org/Zootaxa/article/view/zootaxa.1839.1.1