cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.12848675.v1
title: Shallow marine sediments characterisation of the Bagnoli brownfield site, Pozzuoli Bay (Italy)

description: We adopted a combined geophysical-stratigraphic approach to identify grain size anomalies in sediment distribution of the Bagnoli coastal brownfield site. A large industrial plant occupied this area during most of the 20th Century. We used 18 core logs to identify macroscopic variation in sediment stratigraphy, and 72 supplemental cores to mark changes between sandy- and silt-dominated intervals. The stratigraphy evidenced the presence of anomalous lens of silt within a sandy coastal sector inside the Bagnoli industrial harbour. Cores description helped us to calibrate the interpretation of 4 subbottom profiles, that we used to obtain information on geometries of silty deposits. The spatial layout of sediments revealed that silt intervals are present in the area bounded by the old industrial wharfs. We suggest that these silty sediments are likely the result of uncontrolled discharge occurred during the last century. Once calibrated, high-resolution mono-channel seismic profiles helped us to define the shape as well as the real extent and thicknesses of silty deposits, resulted to be ca. 515.000 m<sup>2</sup>, with an overall volume of 480.000 m<sup>3</sup>. These results are a first attempt to define the amount of polluted sediments in the area facing the Bagnoli industrial harbour.
DOI: 10.6084/m9.figshare.14497992
title: Waimea Main Dataset

description: Data files used for mapping the distribution and diversity of microbes in Waimea Valley, Oahu, Hawaii. <br><br>See https://github.com/soswift/waimea_microbe_paper for code.<br>
DOI: 10.5281/zenodo.4737278
title: Complete Dataset: Environmental Knowledge in the Iveragh Peninsula, Co. Kerry, Ireland: A PPGIS Case Study

description: This is a complete dataset of all outputs produced from a survey assessing environmental knowledge (and knowledge gas) across local communities in the Iveragh peninsula, Co. Kerry, Ireland, during the first months of 2021. The dataset includes chart and figures, maps produced using GIS, mind maps, spreadsheets, and a supporting document containing all relevant metadata.
description: Funding information: https://keep.eu/projects/24844/Ll-n-IVeragh-Ecomuseums-EN/
DOI: 10.5281/zenodo.4737277
title: Complete Dataset: Environmental Knowledge in the Iveragh Peninsula, Co. Kerry, Ireland: A PPGIS Case Study

description: This is a complete dataset of all outputs produced from a survey assessing environmental knowledge (and knowledge gas) across local communities in the Iveragh peninsula, Co. Kerry, Ireland, during the first months of 2021. The dataset includes chart and figures, maps produced using GIS, mind maps, spreadsheets, and a supporting document containing all relevant metadata.
description: Funding information: https://keep.eu/projects/24844/Ll-n-IVeragh-Ecomuseums-EN/
DOI: 10.25390/caryinstitute.11801052.v26
title: Cary Institute Environmental Monitoring Program Current Year Data 2021

description: The Cary Institute of Ecosystem Studies Environmental Monitoring Program is a long-term data collection program designed to understand how the environment changes over time. The program includes monitoring of climate including temperature and precipitation, as well as variables related to air pollution, such as acid deposition and ozone, and water pollution and other streamwater chemistry. Our solar radiation monitoring includes diffuse and global photosynthetically active radiation (PAR), diffuse and global shortwave radiation, net radiation and UV. Long-term monitoring of solar radiation provides us with an understanding of atmospheric energy dynamics, which can affect natural and human systems. The Cary Institute of Ecosystem Studies, Environmental Monitoring Program furnishes data under the following conditions: The data have received quality assurance scrutiny by our program, and, although we are confident of the accuracy of these data, Cary Institute will not be held liable for errors in these data. Data are subject to change resulting from updates in data screening or models used. Data citation: The following is a standard citation for referencing data from the Cary Institute of Ecosystem Studies, Environmental Monitoring Program:<br>Cary Institute of Ecosystem Studies, Environmental Monitoring Program. 2018 (or current year). Cary Institute of Ecosystem Studies, Box AB, Millbrook, NY 12545, www.caryinstitute.org.<br>Those wishing to publish data from Cary Institute of Ecosystem Studies, Environmental Monitoring Program are encouraged to contact data manager Vicky Kelly, kellyv@caryinstitute.org.<br>For complete data for previous years and for complete metadata, please see appropriate items for the Cary Institute Environmental Monitoring Program at https://caryinstitute.figshare.com/
DOI: 10.7284/141328
title: Multiplexed data collected during research cruise HRS2004 using a UDel UDEL SMS instrument system onboard the platform RV Hugh R. Sharp

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/141329
title: ADCP (Acoustic Doppler Current Profiler) data collected during research cruise HRS2004 using a Hawaii UHDAS instrument system onboard the platform RV Hugh R. Sharp

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/141326
title: GNSS (Global Navigation Satellite System) data collected during research cruise HRS2004 using a Furuno GP-37 instrument system onboard the platform RV Hugh R. Sharp

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/141327
title: INS (Inertial Navigation System) data collected during research cruise HRS2004 using a Applanix POS/MV-320 V5 instrument system onboard the platform RV Hugh R. Sharp

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/141330
title: Singlebeam Echosounder data collected during research cruise HRS2004 using a Knudsen 3260 instrument system onboard the platform RV Hugh R. Sharp

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.5517/ccdc.csd.cc26z5r4
title: CCDC 2054796: Experimental Crystal Structure Determination

description: Related Article: Miles S. Capper, Alejandra Enriquez Garcia, Barry Lai, Baiwen O. Wang, Benjamin S. Gelfand, Carrie S. Shemanko, Farideh Jalilehvand|2021|Dalton Trans.|50|5968|doi:10.1039/D1DT00517K
DOI: 10.5517/ccdc.csd.cc26z5s5
title: CCDC 2054797: Experimental Crystal Structure Determination

description: Related Article: Miles S. Capper, Alejandra Enriquez Garcia, Barry Lai, Baiwen O. Wang, Benjamin S. Gelfand, Carrie S. Shemanko, Farideh Jalilehvand|2021|Dalton Trans.|50|5968|doi:10.1039/D1DT00517K
DOI: 10.5517/ccdc.csd.cc26z8hz
title: CCDC 2054881: Experimental Crystal Structure Determination

description: Related Article: Yifan Shi, Atta M. Arif, and Richard D. Ernst|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc26z9zh
title: CCDC 2054927: Experimental Crystal Structure Determination

description: Related Article: Andrey Yu. Plodukhin, Ivan A. Andreev, Konstantin V. Anisovich, Sergey S. Zhokhov, Victor B. Rybakov, Igor V. Trushkov, Olga A. Ivanova|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc26zbk3
title: CCDC 2054945: Experimental Crystal Structure Determination

description: Related Article: Manfred Müller, Jörg Lorberth, Sigrid Wocadlo, Werner Massa|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc26zbl4
title: CCDC 2054946: Experimental Crystal Structure Determination

description: Related Article: Manfred Müller, Jörg Lorberth, Sigrid Wocadlo, Werner Massa|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc26zbm5
title: CCDC 2054947: Experimental Crystal Structure Determination

description: Related Article: Manfred Müller, Jörg Lorberth, Sigrid Wocadlo, Werner Massa|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc26zhsh
title: CCDC 2055107: Experimental Crystal Structure Determination

description: Related Article: Ma Xiaoxu|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc26zhtj
title: CCDC 2055108: Experimental Crystal Structure Determination

description: Related Article: Ma Xiaoxu|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc26zhvk
title: CCDC 2055109: Experimental Crystal Structure Determination

description: Related Article: Ma Xiaoxu|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc26zl2w
title: CCDC 2055178: Experimental Crystal Structure Determination

description: Related Article: Richard A. Hann, David R. Rosseinsky and Helen Stoeckli-Evans|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc26zq1z
title: CCDC 2055301: Experimental Crystal Structure Determination

description: Related Article: Sebastian Inacker, Nikolai Bieniek, Norbert A. Hampp, Klaus Harms|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc26zr98
title: CCDC 2055340: Experimental Crystal Structure Determination

description: Related Article: Benjamin G. Harvey, Atta M. Arif, and Richard D. Ernst|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc26zvhk
title: CCDC 2055439: Experimental Crystal Structure Determination

description: Related Article: Wei Wu, Beibei Luo, Yi You, Zhiqiang Weng|2021|Org.Chem.Front.|8|1997|doi:10.1039/D1QO00157D
DOI: 10.5517/ccdc.csd.cc26zwrv
title: CCDC 2055478: Experimental Crystal Structure Determination

description: Related Article: Jaroslaw Mazurek|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc27007j
title: CCDC 2055586: Experimental Crystal Structure Determination

description: Related Article: Ai-Ran Liu, Lei Zhang, Jiao Li, Abudureheman Wusiman|2021|RSC Advances|11|15161|doi:10.1039/D1RA00772F
DOI: 10.5517/ccdc.csd.cc27008k
title: CCDC 2055587: Experimental Crystal Structure Determination

description: Related Article: Ai-Ran Liu, Lei Zhang, Jiao Li, Abudureheman Wusiman|2021|RSC Advances|11|15161|doi:10.1039/D1RA00772F
DOI: 10.5517/ccdc.csd.cc2708l4
title: CCDC 2055845: Experimental Crystal Structure Determination

description: Related Article: Yann Lie|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc2708sb
title: CCDC 2055851: Experimental Crystal Structure Determination

description: Related Article: Yann Lie|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc27092n
title: CCDC 2055860: Experimental Crystal Structure Determination

description: Related Article: Yann Lie|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc27093p
title: CCDC 2055861: Experimental Crystal Structure Determination

description: Related Article: Yann Lie|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc27094q
title: CCDC 2055862: Experimental Crystal Structure Determination

description: Related Article: Yann Lie|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc27095r
title: CCDC 2055863: Experimental Crystal Structure Determination

description: Related Article: Yann Lie|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc27096s
title: CCDC 2055864: Experimental Crystal Structure Determination

description: Related Article: Yann Lie|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc27097t
title: CCDC 2055865: Experimental Crystal Structure Determination

description: Related Article: Yann Lie|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc27098v
title: CCDC 2055866: Experimental Crystal Structure Determination

description: Related Article: Yann Lie|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc2709bx
title: CCDC 2055868: Experimental Crystal Structure Determination

description: Related Article: Mark R.J. Elsegood and Daniel M. Collins|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc2709wg
title: CCDC 2055885: Experimental Crystal Structure Determination

description: Related Article: Mark R.J. Elsegood|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc2709zk
title: CCDC 2055888: Experimental Crystal Structure Determination

description: Related Article: Mark R.J. Elsegood and Matthew Hemmings|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc270b2p
title: CCDC 2055891: Experimental Crystal Structure Determination

description: Related Article: Mark R. J. Elsegood and Matthew Hemmings|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc270jng
title: CCDC 2056095: Experimental Crystal Structure Determination

description: Related Article: F. Knoch, D. Sellmann, C. Allmann|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc270klf
title: CCDC 2056124: Experimental Crystal Structure Determination

description: Related Article: Sebastian Inacker, Nikolai Bieniek, Norbert A. Hampp, Sergei I. Ivlev|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc270lrm
title: CCDC 2056160: Experimental Crystal Structure Determination

description: Related Article: Simon Schmitz|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc270qjj
title: CCDC 2056277: Experimental Crystal Structure Determination

description: Related Article: Marcus Bond|2021|CSD Communication|||
DOI: 10.6084/m9.figshare.14538036
title: Data_talcode.xlsx

description: Dataset used for:Jacewicz, W. A. (2021). Too-Much-Talent or Never-Too-Much? Exploring how concentration of talent and media exposure affect sport team performance. The University of Sheffield, Psychology Department, Dissertation Project<br>Data derived from https://basketball-reference.com
DOI: 10.6084/m9.figshare.14538036.v1
title: Data_talcode.xlsx

description: Dataset used for:Jacewicz, W. A. (2021). Too-Much-Talent or Never-Too-Much? Exploring how concentration of talent and media exposure affect sport team performance. The University of Sheffield, Psychology Department, Dissertation Project<br>Data derived from https://basketball-reference.com
DOI: 10.15468/m5s365
title: Buestanmyia chiriboga gen. nov. et sp. nov. (Diptera: Tabanidae: Diachlorini) from the Ecuadorian Andes

description: This dataset contains the digitized treatments in Plazi based on the original journal article González, Christian R. (2021): Buestanmyia chiriboga gen. nov. et sp. nov. (Diptera: Tabanidae: Diachlorini) from the Ecuadorian Andes. Zootaxa 4949 (1): 184-190, DOI: https://doi.org/10.11646/zootaxa.4949.1.11
DOI: 10.6084/m9.figshare.14538045
title: Red-winged Blackbird eavesdropping nestling

description: Referential alarm calls that denote specific types of dangers are common across diverse taxa. Different calls can indicate a variety of threats, which often require specific actions to evade. Thus, to benefit from the call, listeners of referential alarm calls must be able to decode the threat being signaled, and respond in an appropriate manner. Yellow warblers (<i>Setophaga petechia</i>) produce referential “seet” calls that signal to conspecifics of nearby obligate brood parasitic brown-headed cowbirds (<i>Molothrus ater</i>), which lay their eggs in the nests of other species, including yellow warblers. Previous playback experiments found that red-winged blackbirds (<i>Agelaius phoeniceus</i>), a heterospecific co-occurring species also parasitized by brown-headed cowbirds, eavesdrop on and respond to yellow warbler seet calls during the incubation stage of nesting with similar aggression as to both cowbird chatters and predator calls. To determine if red-winged blackbird responses to seet calls vary with brood parasitism risk, we presented the same playbacks at nests during the nestling stage, when risk of brood parasitism is low. We found that blackbirds mediated their aggression towards parasite-relevant heterospecific alarm signals (cowbird chatters and seet calls) in parallel with their current risk of brood parasitism (i.e., lower to during the nestling than the egg stages). These results further support that blackbirds respond to yellow warbler antiparasitic referential calls as a frontline defense against brood parasitism at their own nests.
DOI: 10.6084/m9.figshare.14538045.v1
title: Red-winged Blackbird eavesdropping nestling

description: Referential alarm calls that denote specific types of dangers are common across diverse taxa. Different calls can indicate a variety of threats, which often require specific actions to evade. Thus, to benefit from the call, listeners of referential alarm calls must be able to decode the threat being signaled, and respond in an appropriate manner. Yellow warblers (<i>Setophaga petechia</i>) produce referential “seet” calls that signal to conspecifics of nearby obligate brood parasitic brown-headed cowbirds (<i>Molothrus ater</i>), which lay their eggs in the nests of other species, including yellow warblers. Previous playback experiments found that red-winged blackbirds (<i>Agelaius phoeniceus</i>), a heterospecific co-occurring species also parasitized by brown-headed cowbirds, eavesdrop on and respond to yellow warbler seet calls during the incubation stage of nesting with similar aggression as to both cowbird chatters and predator calls. To determine if red-winged blackbird responses to seet calls vary with brood parasitism risk, we presented the same playbacks at nests during the nestling stage, when risk of brood parasitism is low. We found that blackbirds mediated their aggression towards parasite-relevant heterospecific alarm signals (cowbird chatters and seet calls) in parallel with their current risk of brood parasitism (i.e., lower to during the nestling than the egg stages). These results further support that blackbirds respond to yellow warbler antiparasitic referential calls as a frontline defense against brood parasitism at their own nests.
DOI: 10.7931/wsyr-t872
title: Dating analyses for Neomyrtus divergences
DOI: 10.6084/m9.figshare.14537970
title: Methylation Data from Illumina Infinium BeadChip EPICarray

description: Raw Methylation data - saved as an R objectSamplefile Metadata - .csv file
DOI: 10.6084/m9.figshare.14537970.v1
title: Methylation Data from Illumina Infinium BeadChip EPICarray

description: Raw Methylation data - saved as an R objectSamplefile Metadata - .csv file
DOI: 10.5281/zenodo.4737751
title: GES classification dataset

description: Background In Chile, a patient needing a specialty consultation or surgery has to first be referred by a general practitioner, then placed on a waiting list. The Explicit Health Guarantees (GES in Spanish) ensure, by law, the maximum time to solve an important set of health problems. Usually, a health professional manually verifies if each referral, written in natural language, corresponds or not to a GES-covered disease. An error in this classification is catastrophic for patients, as it puts them on a non-prioritized waiting list, characterized by prolonged waiting times. Methods To support the manual process, we developed and deployed a system that automatically classifies referrals as GES-covered or not using historical data. Our system is based on word embeddings specially trained for clinical text produced in Chile. We used a vector representation of the reason for referral and patient's age as features for training machine learning models using human-labeled historical data. We constructed a ground truth dataset combining classifications made by three healthcare experts, which was used to validate our results. Results The best performing model over ground truth reached an AUC score of 0.94. During seven months of continuous and voluntary use, the system has amended 87 patient misclassifications. Conclusion This system is a result of a collaboration between technical and clinical experts, and the design of the classifier was custom-tailored for a hospital's clinical workflow, which encouraged the voluntary use of the platform. Our solution can be easily expanded across other hospitals since the registry is uniform in Chile.
DOI: 10.5281/zenodo.4737750
title: GES classification dataset

description: Background In Chile, a patient needing a specialty consultation or surgery has to first be referred by a general practitioner, then placed on a waiting list. The Explicit Health Guarantees (GES in Spanish) ensure, by law, the maximum time to solve an important set of health problems. Usually, a health professional manually verifies if each referral, written in natural language, corresponds or not to a GES-covered disease. An error in this classification is catastrophic for patients, as it puts them on a non-prioritized waiting list, characterized by prolonged waiting times. Methods To support the manual process, we developed and deployed a system that automatically classifies referrals as GES-covered or not using historical data. Our system is based on word embeddings specially trained for clinical text produced in Chile. We used a vector representation of the reason for referral and patient's age as features for training machine learning models using human-labeled historical data. We constructed a ground truth dataset combining classifications made by three healthcare experts, which was used to validate our results. Results The best performing model over ground truth reached an AUC score of 0.94. During seven months of continuous and voluntary use, the system has amended 87 patient misclassifications. Conclusion This system is a result of a collaboration between technical and clinical experts, and the design of the classifier was custom-tailored for a hospital's clinical workflow, which encouraged the voluntary use of the platform. Our solution can be easily expanded across other hospitals since the registry is uniform in Chile.
DOI: 10.25673/36481
title: Index der Zions-Wächter (Siebenten-Tags-Adventisten), 1896-1921
title: Index of Church Units of the European Division of Seventh-day Adventist Church, 1890-2018

description: Die Zeitschrift „Zionswächter“ ist über Jahrzehnte im 19. und frühen 20. Jh. das wichtigste Periodikum der Siebenten-Tags-Adventisten in Deutschland gewesen. Die in diesen Dateien enthaltenen Indizes dienen als Suchhilfe für Forschungsprojekte.
DOI: 10.26208/regs-5592
title: Supplementary data, code, and information for ‘Absence of internal multidecadal oscillations in climate model simulations’ (Nature Communications, Mann et al. 2020)

description: For several decades the existence of interdecadal and multidecadal internal climate oscillations has been asserted by numerous studies based on analyses of historical observations, paleoclimatic data and climate model simulations. Here we use a combination of observational data and state-of-the-art forced and control climate model simulations to demonstrate the absence of consistent evidence for decadal or longer-term internal oscillatory signals that are distinguishable from climatic noise. Only variability in the interannual range associated with the El Niño/Southern Oscillation is found to be distinguishable from the noise background. A distinct (40–50 year timescale) spectral peak that appears in global surface temperature observations appears to reflect the response of the climate system to both anthropogenic and natural forcing rather than any intrinsic internal oscillation. These findings have implications both for the validity of previous studies attributing certain long-term climate trends to internal low-frequency climate cycles and for the prospect of decadal climate predictability.