cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/9nyn2u
title: Paulianesthes fouquei sp. nov., the second species of the endemic genus from Madagascar (Coleoptera: Tenebrionidae: Tentyriini)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Schawaller, Wolfgang, Fricke, Roman (2017): Paulianesthes fouquei sp. nov., the second species of the endemic genus from Madagascar (Coleoptera: Tenebrionidae: Tentyriini). Acta Entomologica Musei Nationalis Pragae (Acta. Ent. Mus. Natl. Pragae) 57 (2): 345-349, DOI: 10.1515/aemnp-2017-0080, URL: http://dx.doi.org/10.1515/aemnp-2017-0080
DOI: 10.6084/m9.figshare.14229748
title: Gut microbiota diversity but not composition is related to saliva cortisol stress response at the age of 2.5 months

description: Human brain and intestinal microbes reportedly maintain a constant bidirectional connection through diverse neural, endocrine, immune, and metabolic pathways. Increasing evidence indicates that this communication system, referred to as microbiota-gut-brain axis, enables the gut microbes to influence several aspects of brain function and behavior, including hypothalamic-pituitary-adrenal (HPA) axis stress responses, and on the other hand, stress can affect gut microbiota. However, the role of gut microbiota in the HPA axis functioning in humans remains to be specified especially in early life. This study aimed at identifying the potential link between the cortisol stress response and the gut microbiota at the age of 2.5 months. Fecal microbiota profiles were acquired by 16S rRNA gene sequencing, while salivary cortisol responses after an exposure to a mild acute stressor represented the HPA axis reactivity. We observed that a blunted cortisol stress response was weakly associated with a diverse gut microbiota diversity at the age of 2.5 months. Gut microbiota composition was not associated with cortisol stress responsiveness, but rather with covariates, i.e. factors that influence gut microbiota composition and colonization.LAY SUMMARYThis exploratory study aimed at identifying possible links between cortisol stress responses and fecal microbiota composition in early infancy. In a well-characterized study population of 2.5-month-old infants, we observed that an attenuated cortisol stress responsiveness after a mild stressor was weakly associated with a diverse fecal microbiota. Our results suggest that the gut microbiota composition is associated with environmental factors, such as delivery mode and number of siblings, rather than with cortisol stress responsiveness, in this age group. This exploratory study aimed at identifying possible links between cortisol stress responses and fecal microbiota composition in early infancy. In a well-characterized study population of 2.5-month-old infants, we observed that an attenuated cortisol stress responsiveness after a mild stressor was weakly associated with a diverse fecal microbiota. Our results suggest that the gut microbiota composition is associated with environmental factors, such as delivery mode and number of siblings, rather than with cortisol stress responsiveness, in this age group.
DOI: 10.15468/6np9xj
title: Neolycaena (Rhymnaria) arcana sp. nov. from Tibet (Lepidoptera: Lycaenidae)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Weidenhoffer, Zdeněk, Šumpich, Jan (2017): Neolycaena (Rhymnaria) arcana sp. nov. from Tibet (Lepidoptera: Lycaenidae). Acta Entomologica Musei Nationalis Pragae 57 (1): 275-278, DOI: 10.1515/aemnp-2017-0074, URL: https://www.aemnp.eu/acta-entomologica/volume-57-1/1679/neolycaena-rhymnaria-arcana-sp-nov-from-tibet-lepidoptera-lycaenidae.html
DOI: 10.6084/m9.figshare.16529208
title: Engineering local strain for single-atom nuclear acoustic resonance in silicon - Datasets

description: Mechanical strain plays a key role in the physics and operation of nanoscale semiconductor systems, including quantum dots and single-dopant devices. Here we describe the design of a nanoelectronic device where a single nuclear spin is coherently controlled via nuclear acoustic resonance (NAR) through the local application of dynamical strain. The strain drives spin transitions by modulating the nuclear quadrupole interaction. We adopt an AlN piezoelectric actuator compatible with standard silicon metal-oxide-semiconductor processing and optimize the device layout to maximize the NAR drive. We predict NAR Rabi frequencies of order 200 Hz for a single <sup>123</sup>Sb nucleus in a wide region of the device. Spin transitions driven directly by electric fields are suppressed in the center of the device, allowing the observation of pure NAR. Using electric field gradient-elastic tensors calculated by density-functional theory, we extend our predictions to other high-spin group-V donors in silicon, and to the isoelectronic <sup>73</sup>Ge atom. Here we provide the COMSOL simulation datasets.
DOI: 10.15468/ta9yrm
title: Lisubatrus dongzhiweii gen. et sp. nov. from the Gaoligong Mountains, China (Coleoptera: Staphylinidae: Pselaphinae)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Yin, Zi-Wei (2017): Lisubatrus dongzhiweii gen. et sp. nov. from the Gaoligong Mountains, China (Coleoptera: Staphylinidae: Pselaphinae). Acta Entomologica Musei Nationalis Pragae (Acta. Ent. Mus. Natl. Pragae) 57 (2): 593-601, DOI: 10.1515/aemnp-2017-0091, URL: http://dx.doi.org/10.1515/aemnp-2017-0091
DOI: 10.25646/8973
title: Tagesdaten-CSV aus dem DIVI-Intensivregister

description: Die Tagesdaten-CSV entspricht einem Auszug der Daten des DIVI-Intensivregisters. Die Datei enthält eine Aggregation der aktuellsten Meldungen pro Landkreis. Es werden die aktuell gemeldeten Anzahlen der COVID-19 Intensivfälle sowie die gemeldeten intensivmedizinischen Behandlungskapazitäten angezeigt. Die Tagesdaten-CSV liefert dabei ausschließlich einen Blick auf die Daten gemäß dem Stand des betrachteten Tages. Die Daten sind im situationsbedingten Kontext aufbereitet, damit sind verschiedene Tagesdaten-CSVs u.U. nicht direkt miteinander vergleichbar. Die aktuellsten Meldungen werden im gewählten Betrachtungszeitfenster über alle Meldebereiche und Standorte aufsummiert. Weitere Informationen sind zu finden unter https://www.intensivregister.de/#/faq
DOI: 10.15468/guv85c
title: First record of the genus Eryngyothrips from Iran with description of a new species (Thysanoptera: Thripidae)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Minaei, Kambiz, Alavi, Jalil, Fekrat, Lida, Aleosfoor, Maryam (2014): First record of the genus Eryngyothrips from Iran with description of a new species (Thysanoptera: Thripidae). Acta Entomologica Musei Nationalis Pragae 54 (2): 455-460, DOI: http://doi.org/10.5281/zenodo.5302066
DOI: 10.5281/zenodo.5302136
title: tascCODA - supplemental data

description: Supplemental data for "tascCODA: Bayesian tree-aggregated analysis of compositional amplicon and single-cell data" (Ostner et al., 2021)). Instructions for use at https://github.com/bio-datascience/tascCODA_reproducibility
DOI: 10.5281/zenodo.5302135
title: tascCODA - supplemental data

description: Supplemental data for "tascCODA: Bayesian tree-aggregated analysis of compositional amplicon and single-cell data" (Ostner et al., 2021)). Instructions for use at https://github.com/bio-datascience/tascCODA_reproducibility
DOI: 10.6084/m9.figshare.16446393.v1
title: 8-day SIF at 0.05 degree

description: Global high-resolution solar-induced fluorescence between 2001-2019 estimated by reconstructing TROPOMI with machine learning algorithms
DOI: 10.6084/m9.figshare.16529256.v1
title: environment_medians_210423.csv

description: environment data<br>
DOI: 10.34740/kaggle/dsv/2565824
title: Twitter: Trending Tweets per week (updated weekly)
DOI: 10.34740/kaggle/dsv/2565827
title: 2021 World Population (updated daily)
DOI: 10.15468/zeqjej
title: Stomanomala subcostata (Coleoptera: Scarabaeidae), the first record of ruteline chafer from Socotra Archipelago, Yemen

description: This dataset contains the digitized treatments in Plazi based on the original journal article Bezděk, Aleš, Král, David, Limbourg, Pol, Academy, Biology Centre of the Czech (2017): Stomanomala subcostata (Coleoptera: Scarabaeidae), the first record of ruteline chafer from Socotra Archipelago, Yemen. Acta Entomologica Musei Nationalis Pragae (Acta. Ent. Mus. Natl. Pragae) 57: 87-91, DOI: 10.1515/aemnp-2017-0109, URL: http://dx.doi.org/10.1515/aemnp-2017-0109
DOI: 10.34740/kaggle/dsv/2565845
title: YouTube Trending Video Dataset (updated daily)
DOI: 10.15468/y88ps3
title: Colotrema socotrana sp. nov. from Socotra Island, with new records of the genus from Yemen (Coleoptera: Malachiidae)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Plonski, Isidor S. (2017): Colotrema socotrana sp. nov. from Socotra Island, with new records of the genus from Yemen (Coleoptera: Malachiidae). Acta Entomologica Musei Nationalis Pragae (Acta. Ent. Mus. Natl. Pragae) 57: 125-131, DOI: 10.1515/aemnp-2017-0113, URL: http://dx.doi.org/10.1515/aemnp-2017-0113
DOI: 10.6084/m9.figshare.16529307
title: Eugenol residue in fillet of sea bass depending on the purging time

description: <b></b>the data collected from the exposure experiment of sea bass to eugenol at a anesthetic dose.
DOI: 10.6084/m9.figshare.16529307.v1
title: Eugenol residue in fillet of sea bass depending on the purging time

description: <b></b>the data collected from the exposure experiment of sea bass to eugenol at a anesthetic dose.
DOI: 10.6084/m9.figshare.15015239.v1
title: Does infant formula containing synbiotics support adequate growth in infants? A meta-analysis and systematic review of randomized controlled trials

description: In recent years, several studies have shown that formulas that contain synbiotics, i.e. composed prebiotics and probiotics have been proposed to have a beneficial effect on anthropometric indices. However, the results are inconsistent thus this meta-analysis was performed to assess this effect. PubMed/MEDLINE, Web of Science, SCOPUS, and Embase were systematically searched up to May-2020. Weight gain, length gain, head circumstance gain, weight-for-age z scores, and length-for-age z scores were considered as the outcomes. Weighted mean differences (WMD) with the 95% CI were applied for estimating the combined effect size. Subgroup analysis was performed to specify the source of heterogeneity among studies. Consumption of formulas containing synbiotics did not affect growth significantly in healthy infants (weight gain (WMD = 2.06, 95% CI: − 4.08 to 8.21; p = 0.51), length gain (WMD = − 0.05, 95% CI: − 0.70 to 0.60; p = 0.88), head circumstance (WMD = − 0.28, 95% CI: − 0.66 to 0.11; p = 0.15), on weight-for-age z-scores (WMD = − 0.05, 95% CI: − 0.23 to 0.13; p = 0.57) and length-for-age z-scores (WMD = − 0.16, 95% CI: − 0.50 to 0.19; p = 0.37)). The main results indicate a non-significant increase in infant’s growth following synbiotics supplementation of infant formula. Further large-scale studies are warranted to confirm present findings.
DOI: 10.5517/ccdc.csd.cc2028n1
title: CCDC 1849232: Experimental Crystal Structure Determination

description: Related Article: Arnold L. Rheingold|2018|CSD Communication|||
description: Related Article: Stephanie A. Beach, Arnold L. Rheingold, Linda H. Doerrer|2021|Polyhedron|208|115403|doi:10.1016/j.poly.2021.115403
DOI: 10.5517/ccdc.csd.cc253c6w
title: CCDC 1999227: Experimental Crystal Structure Determination

description: Related Article: Chandan Nandi, Ketaki Kar, Sourav Gayen, Thierry Roisnel, Sundargopal Ghosh|2021|Inorg.Chem.|60|12367|doi:10.1021/acs.inorgchem.1c01585
DOI: 10.5517/ccdc.csd.cc2657qc
title: CCDC 2030832: Experimental Crystal Structure Determination

description: Related Article: Meng-Shu Zhou, Peng-Fu Gao, Yu-Ying Jiang, Yi Zhou, Jie Wu, Xue-Li Zhu, Hong-Ru Fu|2021|Dyes Pigm.|195|109715|doi:10.1016/j.dyepig.2021.109715
DOI: 10.5517/ccdc.csd.cc26kjcp
title: CCDC 2042632: Experimental Crystal Structure Determination

description: Related Article: Jingfeng Huo, Kangbao Zhong, Yazhen Xue, MyeeMay Lyu, Yifan Ping, Zhenxing Liu, Yu Lan, Jianbo Wang|2021|J.Am.Chem.Soc.|143|12968|doi:10.1021/jacs.1c05879
DOI: 10.5517/ccdc.csd.cc26kjgs
title: CCDC 2042635: Experimental Crystal Structure Determination

description: Related Article: Jingfeng Huo, Kangbao Zhong, Yazhen Xue, MyeeMay Lyu, Yifan Ping, Zhenxing Liu, Yu Lan, Jianbo Wang|2021|J.Am.Chem.Soc.|143|12968|doi:10.1021/jacs.1c05879
DOI: 10.5517/ccdc.csd.cc26kjjv
title: CCDC 2042637: Experimental Crystal Structure Determination

description: Related Article: Jingfeng Huo, Kangbao Zhong, Yazhen Xue, MyeeMay Lyu, Yifan Ping, Zhenxing Liu, Yu Lan, Jianbo Wang|2021|J.Am.Chem.Soc.|143|12968|doi:10.1021/jacs.1c05879
DOI: 10.5517/ccdc.csd.cc240jqf
title: CCDC 1966724: Experimental Crystal Structure Determination

description: Related Article: Chandan Nandi, Ketaki Kar, Sourav Gayen, Thierry Roisnel, Sundargopal Ghosh|2021|Inorg.Chem.|60|12367|doi:10.1021/acs.inorgchem.1c01585
DOI: 10.5517/ccdc.csd.cc240jrg
title: CCDC 1966725: Experimental Crystal Structure Determination

description: Related Article: Chandan Nandi, Ketaki Kar, Sourav Gayen, Thierry Roisnel, Sundargopal Ghosh|2021|Inorg.Chem.|60|12367|doi:10.1021/acs.inorgchem.1c01585
DOI: 10.5517/ccdc.csd.cc274tw3
title: CCDC 2060225: Experimental Crystal Structure Determination

description: Related Article: Chandan Nandi, Ketaki Kar, Sourav Gayen, Thierry Roisnel, Sundargopal Ghosh|2021|Inorg.Chem.|60|12367|doi:10.1021/acs.inorgchem.1c01585
DOI: 10.5517/ccdc.csd.cc274v08
title: CCDC 2060229: Experimental Crystal Structure Determination

description: Related Article: Chandan Nandi, Ketaki Kar, Sourav Gayen, Thierry Roisnel, Sundargopal Ghosh|2021|Inorg.Chem.|60|12367|doi:10.1021/acs.inorgchem.1c01585
DOI: 10.5517/ccdc.csd.cc274v5f
title: CCDC 2060234: Experimental Crystal Structure Determination

description: Related Article: Chandan Nandi, Ketaki Kar, Sourav Gayen, Thierry Roisnel, Sundargopal Ghosh|2021|Inorg.Chem.|60|12367|doi:10.1021/acs.inorgchem.1c01585
DOI: 10.5517/ccdc.csd.cc274v6g
title: CCDC 2060235: Experimental Crystal Structure Determination

description: Related Article: Chandan Nandi, Ketaki Kar, Sourav Gayen, Thierry Roisnel, Sundargopal Ghosh|2021|Inorg.Chem.|60|12367|doi:10.1021/acs.inorgchem.1c01585
DOI: 10.5063/v1235s
title: York University Tree Inventory

description: York University is a public university in Toronto, Ontario, Canada. It is currently comprised of two major campuses - Glendon and Keele. The Keele Campus was established in 1965 in North York near Jane, Finch, and Steeles Avenue West thoroughfares. This campus was previously a farm owned by the Stong family until 1951 and still includes a historic home and barn built around 1850. Keele is the largest post-secondary campus in Canada at 457.14 acres. The tree census data provided here were extracted from a census completed by one of the first grounds managers in the Physical Resources Unit and published as an ArcGis map (http://yorku.maps.arcgis.com/apps/webappviewer/index.html?id=88027977994641ad88b10ed0d85fb2f0). These data were researched by M. Belanger, extracted by J. Braun, and described with quality checks by C.J. Lortie and J. Braun. Physical Resources were contacted and provided permission to share publicly. The data are comprised of a total of 6951 observations dating from 1900 (when planting dates pre-dated campus management) to 2013. The majority of observations were done in 2012 and 2013. These censuses included common names, Latin binomials, latitude and longitude of each tree in degree decimals, and condition with morphometrics for each individual. Categorical location data included block on campus (associated with campus map), street, and building code (as referenced to campus key). Most importantly, each tree was provided a unique identifier linked to a metal tree tag affixed to its trunk. Several key measures for future ecological assessments included dbh, crown width, and height.
DOI: 10.5517/ccdc.csd.cc27m1zx
title: CCDC 2073899: Experimental Crystal Structure Determination

description: Related Article: Ramón Azpíroz, Ingo Greger, Luis A. Oro, Vincenzo Passarelli, Ricardo Castarlenas, Jesús J. Pérez-Torrente|2021|Chem.-Eur.J.|27|11868|doi:10.1002/chem.202101414
DOI: 10.5517/ccdc.csd.cc27m210
title: CCDC 2073901: Experimental Crystal Structure Determination

description: Related Article: Ramón Azpíroz, Ingo Greger, Luis A. Oro, Vincenzo Passarelli, Ricardo Castarlenas, Jesús J. Pérez-Torrente|2021|Chem.-Eur.J.|27|11868|doi:10.1002/chem.202101414
DOI: 10.5517/ccdc.csd.cc27m243
title: CCDC 2073904: Experimental Crystal Structure Determination

description: Related Article: Ramón Azpíroz, Ingo Greger, Luis A. Oro, Vincenzo Passarelli, Ricardo Castarlenas, Jesús J. Pérez-Torrente|2021|Chem.-Eur.J.|27|11868|doi:10.1002/chem.202101414
DOI: 10.5517/ccdc.csd.cc27m265
title: CCDC 2073906: Experimental Crystal Structure Determination

description: Related Article: Tatsuya Watanabe, Masataka Ito, Hironori Suzuki, Katsuhide Terada, Shuji Noguchi|2021|Int.J.Pharm.|607|120959|doi:10.1016/j.ijpharm.2021.120959
DOI: 10.5517/ccdc.csd.cc27m276
title: CCDC 2073907: Experimental Crystal Structure Determination

description: Related Article: Tatsuya Watanabe, Masataka Ito, Hironori Suzuki, Katsuhide Terada, Shuji Noguchi|2021|Int.J.Pharm.|607|120959|doi:10.1016/j.ijpharm.2021.120959
DOI: 10.5063/q81bgh
title: York University Tree Inventory

description: York University is a public university in Toronto, Ontario, Canada. It is currently comprised of two major campuses - Glendon and Keele. The Keele Campus was established in 1965 in North York near Jane, Finch, and Steeles Avenue West thoroughfares. This campus was previously a farm owned by the Stong family until 1951 and still includes a historic home and barn built around 1850. Keele is the largest post-secondary campus in Canada at 457.14 acres. The tree census data provided here were extracted from a census completed by one of the first grounds managers in the Physical Resources Unit and published as an ArcGis map (http://yorku.maps.arcgis.com/apps/webappviewer/index.html?id=88027977994641ad88b10ed0d85fb2f0). These data were researched by M. Belanger, extracted by J. Braun, and described with quality checks by C.J. Lortie and J. Braun. Physical Resources were contacted and provided permission to share publicly. The data are comprised of a total of 6951 observations dating from 1900 (when planting dates pre-dated campus management) to 2013. The majority of observations were done in 2012 and 2013. These censuses included common names, Latin binomials, latitude and longitude of each tree in degree decimals, and condition with morphometrics for each individual. Categorical location data included block on campus (associated with campus map), street, and building code (as referenced to campus key). Most importantly, each tree was provided a unique identifier linked to a metal tree tag affixed to its trunk. Several key measures for future ecological assessments included dbh, crown width, and height.
DOI: 10.6084/m9.figshare.14718654
title: Image supporting data for assessment of beaching and natural removal dynamics of sargassum in Puerto Morelos

description: The data included here is the videocamera derived data used in the article under review entitled "Beaching and natural removal dynamics of massive pelagic sargassum in a reef lagoon". <br>The information includes: <br>Wrack coverage time series Arrival times of large medium and small arrivals timestackVegetation line in timestackPosition and labels of training pixels in timestack<br><br>
DOI: 10.6084/m9.figshare.14718654.v1
title: Image supporting data for assessment of beaching and natural removal dynamics of sargassum in Puerto Morelos

description: The data included here is the videocamera derived data used in the article under review entitled "Beaching and natural removal dynamics of massive pelagic sargassum in a reef lagoon". <br>The information includes: <br>Wrack coverage time series Arrival times of large medium and small arrivals timestackVegetation line in timestackPosition and labels of training pixels in timestack<br><br>
DOI: 10.5281/zenodo.4756182
title: NLL-SSST-coherence earthquake relocation catalogs for the Parkfield and Lone Pine, California earthquake sequence.

description: CSV tables of the final, NLL-SSST-coherence earthquake relocation catalogs for the Parkfield and Lone Pine, California earthquake sequence. These datasets are from relocations presented in the article<br> High-precision, absolute earthquake location using source-specific station terms and inter-event waveform similarity<br> submitted to Journal of Geophysical Research Solid Earth
DOI: 10.34740/kaggle/dsv/2565967
title: COVID Vaccination in World (updated daily)
DOI: 10.5281/zenodo.5303172
title: Hydrozoanthus gracilis SPAdes preassembly

description: ..
DOI: 10.5281/zenodo.5303171
title: Hydrozoanthus gracilis SPAdes preassembly

description: ..
DOI: 10.6084/m9.figshare.16529334.v1
title: ReciprocityData_Toshare.zip

description: Human fMRI data doing a task which human participants alternately revise their decisions or watch their partner revise theirs.
DOI: 10.6084/m9.figshare.16529334
title: ReciprocityData_Toshare.zip

description: Human fMRI data doing a task which human participants alternately revise their decisions or watch their partner revise theirs.
DOI: 10.6084/m9.figshare.12130980.v107
title: MOOD Maps of Google community mobility change during the COVID-19 outbreak

description: The MOOD project (MOnitoring Outbreak events for Disease surveillance in a data science context. H2020) has geo-referenced the data Google has published as a series of PDF files presenting reports on national and subnational human mobility levels relative to a baseline data of late January 2020. The details and the PDF files can be found at https://www.google.com/covid19/mobility/.<br>More detail on these files can be found at https://www.moodspatialdata.com/humanmobilityforcovid19 <br>The first set of data were released on April 2 2020 and have been revised weekly since then. The maps now utilise the CSV data released by Google. Please note that the maps figures use a mean of the previous three days, while the Google PDFs use a single days data so there will be differences between values in our maps when compare to the Google PDFs.<br>The authors have extracted the majority of these data into a series of excel spreadsheets. Each worksheet provides the data for % change in numbers of records at various types of location categories illustrated by: retail and recreation, grocery and pharmacy, parks and beaches, transit stations, workplaces and residential (columns f to K). A second set of columns calculates the difference of each value from the mean values for each category (columns L to P) Columns A to E contain geographical details. Column Q contains the names used to link to a mapping file.There are separate worksheets for the date of the data from each dated release (e.g. 2903, 0504 etc.) and separate worksheets calculating the changes between specific dates.<br>A second spreadsheet has been added calculating the 3 day moving mean of each day from the 15th of February. Each day is referenced by the Gregorian calendar day count. So day 48 = Feb 17th.<br>The maps (for EU & Global) display these data. We provide 600 dpi jpegs of the Global (“WD”) and European (“EU”) mapped values at the latest date available, for each of the mobility categories: retail and recreation (“retrec”) , grocery and pharmacy (“grocphar”) , parks (“parks”) , transit stations (“transit”), residential (“resid”) and workplaces (“work”). We also provide maps of the changes from the previous week (“ch”).<br>All data extracting and subsequent processing have been carried out by ERGO (Environmental Research Group Oxford, c/o Dept Zoology, University of Oxford) on behalf of the MOOD H2020 project. Data will be periodically updated. Additional maps can be obtained on request to the authors.