cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc221hbz
title: CCDC 1908060: Experimental Crystal Structure Determination

description: Related Article: Peter J. Holliman, Christopher P. Kershaw, Eurig W. Jones, Diana Meza-Rojas, Anthony Lewis, James McGettrick, Dawn Geatches, Kakali Sen, Sebastian Metz, Graham J. Tizzard, Simon J. Coles|2020|J.Mater.Chem.A|8|22191|doi:10.1039/D0TA06016J
DOI: 10.5517/ccdc.csd.cc259dc8
title: CCDC 2005029: Experimental Crystal Structure Determination

description: Related Article: Pavel A. Petrov, Evgeny M. Kadilenko, Taisiya S. Sukhikh, Ilia V. Eltsov, Artem L. Gushchin, Vladimir A. Nadolinny, Maxim N. Sokolov, Nina P. Gritsan|2020|Chem.-Eur.J.|26|14688|doi:10.1002/chem.202002799
DOI: 10.5517/ccdc.csd.cc259dd9
title: CCDC 2005030: Experimental Crystal Structure Determination

description: Related Article: Pavel A. Petrov, Evgeny M. Kadilenko, Taisiya S. Sukhikh, Ilia V. Eltsov, Artem L. Gushchin, Vladimir A. Nadolinny, Maxim N. Sokolov, Nina P. Gritsan|2020|Chem.-Eur.J.|26|14688|doi:10.1002/chem.202002799
DOI: 10.5517/ccdc.csd.cc259dfb
title: CCDC 2005031: Experimental Crystal Structure Determination

description: Related Article: Pavel A. Petrov, Evgeny M. Kadilenko, Taisiya S. Sukhikh, Ilia V. Eltsov, Artem L. Gushchin, Vladimir A. Nadolinny, Maxim N. Sokolov, Nina P. Gritsan|2020|Chem.-Eur.J.|26|14688|doi:10.1002/chem.202002799
DOI: 10.5517/ccdc.csd.cc259dgc
title: CCDC 2005032: Experimental Crystal Structure Determination

description: Related Article: Pavel A. Petrov, Evgeny M. Kadilenko, Taisiya S. Sukhikh, Ilia V. Eltsov, Artem L. Gushchin, Vladimir A. Nadolinny, Maxim N. Sokolov, Nina P. Gritsan|2020|Chem.-Eur.J.|26|14688|doi:10.1002/chem.202002799
DOI: 10.5517/ccdc.csd.cc25m8fj
title: CCDC 2014517: Experimental Crystal Structure Determination

description: Related Article: Ayano Awatani, Masaaki Suzuki|2020|RSC Advances|10|39033|doi:10.1039/D0RA07677E
DOI: 10.5517/ccdc.csd.cc25m8gk
title: CCDC 2014518: Experimental Crystal Structure Determination

description: Related Article: Ayano Awatani, Masaaki Suzuki|2020|RSC Advances|10|39033|doi:10.1039/D0RA07677E
DOI: 10.5517/ccdc.csd.cc25m8hl
title: CCDC 2014519: Experimental Crystal Structure Determination

description: Related Article: Ayano Awatani, Masaaki Suzuki|2020|RSC Advances|10|39033|doi:10.1039/D0RA07677E
DOI: 10.5517/ccdc.csd.cc25m8jm
title: CCDC 2014520: Experimental Crystal Structure Determination

description: Related Article: Ayano Awatani, Masaaki Suzuki|2020|RSC Advances|10|39033|doi:10.1039/D0RA07677E
DOI: 10.5517/ccdc.csd.cc25r3sv
title: CCDC 2018217: Experimental Crystal Structure Determination

description: Related Article: Noel Angel Espinosa-Jalapa, Nele Berg, Michael Seidl, Ilya G. Shenderovich, Ruth M. Gschwind, Jonathan O. Bauer|2020|Chem.Commun.|56|13335|doi:10.1039/D0CC05682K
DOI: 10.5517/ccdc.csd.cc25r3tw
title: CCDC 2018218: Experimental Crystal Structure Determination

description: Related Article: Noel Angel Espinosa-Jalapa, Nele Berg, Michael Seidl, Ilya G. Shenderovich, Ruth M. Gschwind, Jonathan O. Bauer|2020|Chem.Commun.|56|13335|doi:10.1039/D0CC05682K
DOI: 10.5517/ccdc.csd.cc25tyvt
title: CCDC 2020947: Experimental Crystal Structure Determination

description: Related Article: Nair Anaga, Basavaraja D, Billu Abraham, P. Nisha, Sunil Varughese, Purushothaman Jayamurthy, Sasidhar B. Somappa|2020|Bioorg.Chem.|105|104375|doi:10.1016/j.bioorg.2020.104375
DOI: 10.5517/ccdc.csd.cc25wdj0
title: CCDC 2022332: Experimental Crystal Structure Determination

description: Related Article: Jing Zheng, Xiaojie He, Hong Xu, Hua Liu, Weiran Yang|2020|Org.Biomol.Chem.|18|8867|doi:10.1039/D0OB01739F
DOI: 10.25678/0002nb
title: Data for: Influence of intermittent flow on removal of organics in a biological activated carbon filter (BAC) used as post-treatment for greywater

description: Highly variable flow has to be expected in decentralized greywater treatment and can lead to intermittent operation of the treatment system. However, few studies have addressed the influence of variable flow on the treatment performance of a biological activated carbon filter (BAC). In this study, we investigated the influence of intermittent flow using small-scale BAC columns, which treat greywater as a second treatment step following a membrane bioreactor (MBR). Three operating strategies to respond to variable flow were evaluated. The activated carbon was characterized before and after the experiments in terms of biological activity and sorption capacity. The performance of the BAC filters was assessed based on total organic carbon (TOC) removal, TOC fractions and growth potential. No significant differences were observed between constant flow compared to on-off operation with intermittent flow over the range of tested influent concentrations. Peaks with high TOC during 24 h periods were attenuated by sorption and biological degradation. Adsorbed TOC was released after switching back to normal concentrations for influent concentrations more than 5 times higher than usually observed, the BAC functioned as a temporary sink. In line with these results, the high influent TOC values led to increased biological activity on the filter but did not influence the sorption capacity. The experiments showed that intermittent flow does not negatively impact the performance of a BAC and that there is no need for additional equalization tanks to buffer the variable flow, for example in household-scale greywater treatment.
DOI: 10.6084/m9.figshare.8262368
title: Preferential Paths of Air-water Two-phase flow in Porous Structures with Special Consideration of Channel Thickness Effects

description: This file includes the figures and videos that underlie the conclusions of our paper.
DOI: 10.6084/m9.figshare.8262368.v1
title: Preferential Paths of Air-water Two-phase flow in Porous Structures with Special Consideration of Channel Thickness Effects

description: This file includes the figures and videos that underlie the conclusions of our paper.
DOI: 10.15468/4zc9jx
title: Description of two new Quadrastichus (Hymenoptera: Eulophidae) reared from Litchiomyia chinensis (Diptera: Cecidomyiidae) on commercial lychee (Litchi chinensis; Sapindaceae) in Taiwan

description: This dataset contains the digitized treatments in Plazi based on the original journal article Gates, Michael W., Chao, Yi-Min, Lin, Sheng-Feng, Yang, Man-Miao (2020): Description of two new Quadrastichus (Hymenoptera: Eulophidae) reared from Litchiomyia chinensis (Diptera: Cecidomyiidae) on commercial lychee (Litchi chinensis; Sapindaceae) in Taiwan. Journal of Natural History 54 (9): 635-646, DOI: 10.1080/00222933.2020.1779367
DOI: 10.5283/epub.43254
title: Data for Publication Floquet Oscillations in periodically driven Dirac systems
DOI: 10.5283/epub.43217
title: Data Archive of "Bottom-up influences on voluntary task switching in different reward contexts?"

description: In humans, voluntary task switching is susceptible to bottom-up influences like a switch of the target stimulus identity (Mayr & Bell, 2006). A recent study with ants (Czaczkes, Koch, Fröber, & Dreisbach, 2018) has shown that even irrelevant cue changes increase switching behavior, but only if they are presented within a high-reward context. To investigate whether a reward context would also increase switching behavior in response to meaningless cue changes in humans, we conducted two voluntary task switching experiments. On each trial, participants chose between two tasks preceded by one of two different color cues. Reward prospect was manipulated between blocks (Experiment 1: no vs. high reward; Experiment 2: low vs. high reward). In both experiments, the cue change did not modulate the voluntary switch rate. However, the voluntary switch rate was significantly lower in high-reward blocks as compared to no-reward or low-reward blocks. This suggests that bottom-up influences on deliberate task switching in humans are limited to task-relevant information. Moreover, the finding of a decreased voluntary switch rate within a high-reward context further supports the claim that unchanged high reward prospect promotes cognitive stability.
DOI: 10.5281/zenodo.4290716
title: Human Adrenal Cortical Zone Changes with Aging SUPPLEMENTAL DATA

description: Supplemental tables 1 and 2.
DOI: 10.21227/dwpy-7663
title: Test

description: 1
DOI: 10.6073/pasta/400b694c36cebdb24aa6d3f9141b06a8
title: Wetland abundance and distribution changes in Sycamore Creek, Arizona, USA (2014-2019)

description: The primary objective of this project is to understand how long-term climate variability and change influence the structure and function of desert streams via effects on hydrologic disturbance regimes. Climate and hydrology are intimately linked in arid landscapes; for this reason, desert streams are particularly well suited for both observing and understanding the consequences of climate variability and directional change. Researchers try to (1) determine how climate variability and change over multiple years influence stream biogeomorphic structure (i.e., prevalence and persistence of wetland and gravel-bed ecosystem states) via their influence on factors that control vegetation biomass, and (2) compare interannual variability in within-year successional patterns in ecosystem processes and community structure of primary producers and consumers of two contrasting reach types (wetland and gravel-bed stream reaches). This dataset was collected to understand: (1) the spatial pattern of wetland distribution and abundance; (2) the influence of multi-annual variability in hydrological regime on wetland distribution and abundance; and (3) the mechanism of the resilience of wetland to different disturbances in terms of hydrology (i.e., drying and flooding).
DOI: 10.6084/m9.figshare.13258085
title: Precipitation Data of observations of the eye of Typhoon Faxai (2019) using dual-polarized phased-array weather radar

description: Filename: fig (data number) _(sub number)_(data type)_yyyymmdd_hhmmss.txt All data are described by ascii format. Data Number 1: Typhoon Faxai from the DP-PAWR at 04:00:03 on September 9, 2019. Sub number number a–e indicate the CAPPI(constant altitude plan position indicator) data of Z(radar reflectivity factor [dBZ]), V(Doppler velocity [m/s]), Z_dr(differential reflectivity [dB]), K_dp (specific differential phase [deg/km]), and ρ_hv (correlation coefficient), respectively, at an altitude of 4 km. Panels g and h are the CAPPI of the HC at altitudes of 4 and 5 km, respectively. Labels f and i show vertical cross-sections of Z and HC along the black dotted line in Panels a and g–h, respectively. Data Format： line: E-W direction (resolution is 75 m). column: N-S direction (resolution is 75 m) For the following 4 figures (fig1_f_Zsn_20190909_040003.txt and fig1_f_Zwe_20190909_040003.txt, fig1_i_HCsn_20190909_040003.txt, fig1_i_HCwe_20190909_040003.txt), data format is as followings. line: horizontal direction (resolution is 75 m). column: vertical direction (resolution is 75 m) Data Number 2 Temporal changes in the precipitation core consisting of the eyewall. Labels a and b show the enlarged views of CAPPI at an altitude of 4 km for the radar reflectivity factor and hydrometer classification results. Labels c and d also display the cross-sections. The horizontal axis depicts the north direction as 0°. The time interval of each figure side by side is 4 min from 04:20:03 (JST), which are labelled as i–v. Data Format (label a and b)： line: E-W direction (resolution is 75 m). column: N-S direction (resolution is 75 m) Data Format (label c and d)： line: horizontal direction (resolution is 75 m). column: vertical direction (resolution is 75 m) Data Number 3 Tornado-scale vortices in the eye of the typhoon. Labels a, b and c show the enlarged views of CAPPI at an altitude of 2, 4, and 5 km for the radar reflectivity factor. The observaitonal time is 04:27:03, 04:36:33, and 04:56:03 (JST), which are labelled as i–iii. Data Format： line: E-W direction (resolution is 75 m). column: N-S direction (resolution is 75 m)<br>temperature_tokyo_20190909.txt<br>Temperature data at a ground surface are provided by the automated meteorological data acquisition system (AMeDAS), which is operated by the Japan Meteorological Agency and installed at a latitude and longitude of 35.69° and 139.76°, respectively.<br>
DOI: 10.5283/epub.43110
title: Daten zur Dissertation "Magnetotransport in 3D Topological Insulator Nanowires"
DOI: 10.6084/m9.figshare.13258085.v2
title: Precipitation Data of observations of the eye of Typhoon Faxai (2019) using dual-polarized phased-array weather radar

description: Filename: fig (data number) _(sub number)_(data type)_yyyymmdd_hhmmss.txt All data are described by ascii format. Data Number 1: Typhoon Faxai from the DP-PAWR at 04:00:03 on September 9, 2019. Sub number number a–e indicate the CAPPI(constant altitude plan position indicator) data of Z(radar reflectivity factor [dBZ]), V(Doppler velocity [m/s]), Z_dr(differential reflectivity [dB]), K_dp (specific differential phase [deg/km]), and ρ_hv (correlation coefficient), respectively, at an altitude of 4 km. Panels g and h are the CAPPI of the HC at altitudes of 4 and 5 km, respectively. Labels f and i show vertical cross-sections of Z and HC along the black dotted line in Panels a and g–h, respectively. Data Format： line: E-W direction (resolution is 75 m). column: N-S direction (resolution is 75 m) For the following 4 figures (fig1_f_Zsn_20190909_040003.txt and fig1_f_Zwe_20190909_040003.txt, fig1_i_HCsn_20190909_040003.txt, fig1_i_HCwe_20190909_040003.txt), data format is as followings. line: horizontal direction (resolution is 75 m). column: vertical direction (resolution is 75 m) Data Number 2 Temporal changes in the precipitation core consisting of the eyewall. Labels a and b show the enlarged views of CAPPI at an altitude of 4 km for the radar reflectivity factor and hydrometer classification results. Labels c and d also display the cross-sections. The horizontal axis depicts the north direction as 0°. The time interval of each figure side by side is 4 min from 04:20:03 (JST), which are labelled as i–v. Data Format (label a and b)： line: E-W direction (resolution is 75 m). column: N-S direction (resolution is 75 m) Data Format (label c and d)： line: horizontal direction (resolution is 75 m). column: vertical direction (resolution is 75 m) Data Number 3 Tornado-scale vortices in the eye of the typhoon. Labels a, b and c show the enlarged views of CAPPI at an altitude of 2, 4, and 5 km for the radar reflectivity factor. The observaitonal time is 04:27:03, 04:36:33, and 04:56:03 (JST), which are labelled as i–iii. Data Format： line: E-W direction (resolution is 75 m). column: N-S direction (resolution is 75 m)<br>temperature_tokyo_20190909.txt<br>Temperature data at a ground surface are provided by the automated meteorological data acquisition system (AMeDAS), which is operated by the Japan Meteorological Agency and installed at a latitude and longitude of 35.69° and 139.76°, respectively.<br>
DOI: 10.6084/m9.figshare.13258085.v1
title: Precipitation Data of observations of the eye of Typhoon Faxai (2019) using dual-polarized phased-array weather radar

description: Filename: fig (data number) _(sub number)_(data type)_yyyymmdd_hhmmss.txt All data are described by ascii format. Data Number 1: Typhoon Faxai from the DP-PAWR at 04:00:03 on September 9, 2019. Sub number number a–e indicate the CAPPI(constant altitude plan position indicator) data of Z(radar reflectivity factor [dBZ]), V(Doppler velocity [m/s]), Z_dr(differential reflectivity [dB]), K_dp (specific differential phase [deg/km]), and ρ_hv (correlation coefficient), respectively, at an altitude of 4 km. Panels g and h are the CAPPI of the HC at altitudes of 4 and 5 km, respectively. Labels f and i show vertical cross-sections of Z and HC along the black dotted line in Panels a and g–h, respectively. Data Format： line: E-W direction (resolution is 75 m). column: N-S direction (resolution is 75 m) For the following 4 figures (fig1_f_Zsn_20190909_040003.txt and fig1_f_Zwe_20190909_040003.txt, fig1_i_HCsn_20190909_040003.txt, fig1_i_HCwe_20190909_040003.txt), data format is as followings. line: horizontal direction (resolution is 75 m). column: vertical direction (resolution is 75 m) Data Number 2 Temporal changes in the precipitation core consisting of the eyewall. Labels a and b show the enlarged views of CAPPI at an altitude of 4 km for the radar reflectivity factor and hydrometer classification results. Labels c and d also display the cross-sections. The horizontal axis depicts the north direction as 0°. The time interval of each figure side by side is 4 min from 04:20:03 (JST), which are labelled as i–v. Data Format (label a and b)： line: E-W direction (resolution is 75 m). column: N-S direction (resolution is 75 m) Data Format (label c and d)： line: horizontal direction (resolution is 75 m). column: vertical direction (resolution is 75 m) Data Number 3 Tornado-scale vortices in the eye of the typhoon. Labels a, b and c show the enlarged views of CAPPI at an altitude of 2, 4, and 5 km for the radar reflectivity factor. The observaitonal time is 04:27:03, 04:36:33, and 04:56:03 (JST), which are labelled as i–iii. Data Format： line: E-W direction (resolution is 75 m). column: N-S direction (resolution is 75 m)
DOI: 10.6084/m9.figshare.13275323.v1
title: Short Term Mortality Fluctuations series at the Human Mortality Database

description: The COVID-19 pandemic has revealed substantial coverage and quality gaps in existing international and national statistical monitoring systems. It is striking that obtaining timely, accurate, and comparable across countries data in order to adequately respond to unexpected epidemiological threats is very challenging. The most robust and reliable approach to quantify the mortality burden due to short-term risk factors is based on estimating weekly excess deaths. This approach is more reliable than monitoring deaths with COVID-19 diagnosis or calculating incidence or fatality rates affected by numerous problems such as testing coverage and comparability of diagnostic approaches. In response to the newly emerging data challenges, a new data resource on weekly mortality has been established. The Short-term Mortality Fluctuations (STMF, available at www.mortality.org) data series is the first international database providing open-access harmonized, uniform, and fully documented data on weekly all-cause mortality. The STMF online vizualisation tool provides an opportunity to perform a quick assessment of the excess weekly mortality in one or several countries by means of an interactive graphical interface.
DOI: 10.6084/m9.figshare.13286672
title: Snake detection data

description: Four tables with formal detection estimates and effort from 61 studies
DOI: 10.6084/m9.figshare.13286672.v1
title: Snake detection data

description: Four tables with formal detection estimates and effort from 61 studies
DOI: 10.5281/zenodo.4290623
title: SIGCSE-2021-DistributedSystemsSyllabiDataset

description: <strong>Dataset Repository for "Have We Reached Consensus? An Analysis of Distributed Systems Syllabi"</strong> This repository contains the raw dataset used to analyze current trends in teaching distributed systems, and provide a reference for educators world-wide that seek to improve the quality of their syllabi.
DOI: 10.25678/0002f5
title: Pathogenic Virus Transfer Between Liquid and Hands

description: # Data for: Transfer of Enteric Viruses Adenovirus and Coxsackievirus and Bacteriophage MS2 from Liquid to Human SkinThe data were collected, analyzed, and reported within the following publication:Pitol AK, Bischel HN, Boehm AB, Tamar K, Julian TR. 2018. Transfer of Enteric Viruses Adenovirus and Coxsackievirus and Bacteriophage MS2 from Liquid to Human Skin. Appl Environ Mcrobiology 84:1–13. &lt; https:// doi.org/10.1128/AEM.01809-18&gt; ## File virustransferwatertoskin.csvThe data set contains the following attributes:+ Cw: Concentration of virus in the liquid (PFU/mL or MPN/mL)+ Ch.un: Number of unadsorbed virus on the skin per surface area (PFU/cm2 or MPN/cm2)+ Ch.ad: Number of bacteriophages adsorbed on the skin per surface area (PFU/cm2 or MPN/cm2)+ virus: Virus used in the study (adenovirus, coxsackievirus, or bacteriophage MS2)Note: The number of virus is expressed in Plaque Forming Units (PFU) in the case of bacteriophage MS2, and Most Probable Number (MPN) in the case of adenovirus and coxsackievirus.
DOI: 10.34740/kaggle/dsv/1682376
title: YouTube Trending Video Dataset (updated daily)
DOI: 10.25592/uhhfdm.1758
title: Bombina bombina ZMH A05619, unstained CT volume

description: Species: <em>Bombina bombina</em> Collection number: ZMH A05619 Institution of origin: Zoologisches Museum Hamburg Data: CT volume of unstained specimen Coverage: full specimen Scanner: YXLON FF35 CT Scanning paramters: 100 kV; 120 µA; filter: no filter Voxel size: 22.7454 µm Dataset used in: Engelkes, K., Helfsgott, J., Hammel, J. U., Büsse, S., Kleinteich, T., Beerlink, A., Gorb, S. N., Haas, A. (2019) Measurement error in μCT-based three-dimensional geometric morphometrics introduced by surface generation and landmark data acquisition. Journal of Anatomy 235(2): 357–378. https://doi.org/10.1111/joa.12999.
description: Funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) - 387723284.
DOI: 10.25592/uhhfdm.1757
title: Bombina bombina ZMH A05619, unstained CT volume

description: Species: <em>Bombina bombina</em> Collection number: ZMH A05619 Institution of origin: Zoologisches Museum Hamburg Data: CT volume of unstained specimen Coverage: full specimen Scanner: YXLON FF35 CT Scanning paramters: 100 kV; 120 µA; filter: no filter Voxel size: 22.7454 µm Dataset used in: Engelkes, K., Helfsgott, J., Hammel, J. U., Büsse, S., Kleinteich, T., Beerlink, A., Gorb, S. N., Haas, A. (2019) Measurement error in μCT-based three-dimensional geometric morphometrics introduced by surface generation and landmark data acquisition. Journal of Anatomy 235(2): 357–378. https://doi.org/10.1111/joa.12999.
description: Funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) - 387723284.
DOI: 10.25592/uhhfdm.1760
title: Bombina bombina ZMH A06659, unstained CT volume

description: Species: <em>Bombina bombina</em> Collection number: ZMH A06659 Institution of origin: Zoologisches Museum Hamburg Data: CT volume of unstained specimen Coverage: full specimen Scanner: Skyscan1172 Scanning paramters: 100 kV; 100 µA; filter: Al 0.5 mm Voxel size: 26.68090 µm Dataset used in: Engelkes, K., Helfsgott, J., Hammel, J. U., Büsse, S., Kleinteich, T., Beerlink, A., Gorb, S. N., Haas, A. (2019) Measurement error in μCT-based three-dimensional geometric morphometrics introduced by surface generation and landmark data acquisition. Journal of Anatomy 235(2): 357–378. https://doi.org/10.1111/joa.12999.
description: Funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) - 387723284.
DOI: 10.25592/uhhfdm.1759
title: Bombina bombina ZMH A06659, unstained CT volume

description: Species: <em>Bombina bombina</em> Collection number: ZMH A06659 Institution of origin: Zoologisches Museum Hamburg Data: CT volume of unstained specimen Coverage: full specimen Scanner: Skyscan1172 Scanning paramters: 100 kV; 100 µA; filter: Al 0.5 mm Voxel size: 26.68090 µm Dataset used in: Engelkes, K., Helfsgott, J., Hammel, J. U., Büsse, S., Kleinteich, T., Beerlink, A., Gorb, S. N., Haas, A. (2019) Measurement error in μCT-based three-dimensional geometric morphometrics introduced by surface generation and landmark data acquisition. Journal of Anatomy 235(2): 357–378. https://doi.org/10.1111/joa.12999.
description: Funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) - 387723284.