cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.8309255
title: Light-driven reversible charge transfers from ITO Nanocrystals

description: Absorption spectra including ferrocene and ITO mix, both in ground state and photodoped. Includes reference absorption spectra of compounds/nanoparticles alone, and absorption spectra from solvents used.
DOI: 10.5517/ccdc.csd.cc1n8kbt
title: CCDC 1527566: Experimental Crystal Structure Determination

description: Related Article: Thabo Joel Mahlaka, Gadada Naganagowda, Reinout Meijboom|2021|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc27f0zp
title: CCDC 2068102: Experimental Crystal Structure Determination

description: Related Article: A.M. Zimina, N.A. Knyazeva, E.V. Balagurova, F.M. Dolgushin, N.V. Somov, D.L. Vorozhtsov, Yu.B. Malysheva, I.D. Grishin|2021|J.Organomet.Chem.|946-947|121908|doi:10.1016/j.jorganchem.2021.121908
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc27f10r
title: CCDC 2068103: Experimental Crystal Structure Determination

description: Related Article: A.M. Zimina, N.A. Knyazeva, E.V. Balagurova, F.M. Dolgushin, N.V. Somov, D.L. Vorozhtsov, Yu.B. Malysheva, I.D. Grishin|2021|J.Organomet.Chem.|946-947|121908|doi:10.1016/j.jorganchem.2021.121908
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc27n8hp
title: CCDC 2075062: Experimental Crystal Structure Determination

description: Related Article: Bo Zhang, Yu’ai Duan, Xin Zhang, Shuai Guo|2021|Chem.Commun.|57|6879|doi:10.1039/D1CC01871J
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc27n8kr
title: CCDC 2075064: Experimental Crystal Structure Determination

description: Related Article: Bo Zhang, Yu’ai Duan, Xin Zhang, Shuai Guo|2021|Chem.Commun.|57|6879|doi:10.1039/D1CC01871J
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc27n8ls
title: CCDC 2075065: Experimental Crystal Structure Determination

description: Related Article: Bo Zhang, Yu’ai Duan, Xin Zhang, Shuai Guo|2021|Chem.Commun.|57|6879|doi:10.1039/D1CC01871J
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc27n8mt
title: CCDC 2075066: Experimental Crystal Structure Determination

description: Related Article: Bo Zhang, Yu’ai Duan, Xin Zhang, Shuai Guo|2021|Chem.Commun.|57|6879|doi:10.1039/D1CC01871J
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc27zwjn
title: CCDC 2085262: Experimental Crystal Structure Determination

description: Related Article: Srividya Swaminathan, Jebiti Haribabu, Mohamed Kasim Mohamed Subarkhan, Dasararaju Gayathri, Nithya Balakrishnan, Nattamai Bhuvanesh, Cesar Echeverria, Ramasamy Karvembu|2021|Dalton Trans.|50|16311|doi:10.1039/D1DT02611A
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc27zwqv
title: CCDC 2085268: Experimental Crystal Structure Determination

description: Related Article: Srividya Swaminathan, Jebiti Haribabu, Mohamed Kasim Mohamed Subarkhan, Dasararaju Gayathri, Nithya Balakrishnan, Nattamai Bhuvanesh, Cesar Echeverria, Ramasamy Karvembu|2021|Dalton Trans.|50|16311|doi:10.1039/D1DT02611A
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc27zwmr
title: CCDC 2085265: Experimental Crystal Structure Determination

description: Related Article: Srividya Swaminathan, Jebiti Haribabu, Mohamed Kasim Mohamed Subarkhan, Dasararaju Gayathri, Nithya Balakrishnan, Nattamai Bhuvanesh, Cesar Echeverria, Ramasamy Karvembu|2021|Dalton Trans.|50|16311|doi:10.1039/D1DT02611A
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2ck94d
title: CCDC 2191363: Experimental Crystal Structure Determination

description: Related Article: Guangfeng Liao, Liuyan Mo, Mingxue Teng, Xiubi Xiong, Xiuhong Xu, Jiayi Liu, Rumei Lu|2023|Fitoterapia|170|105632|doi:10.1016/j.fitote.2023.105632
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5281/zenodo.8138213
title: Clinicopathological relevance of BRAF and SMO mutations in Chinese patients with ameloblastoma

description: Uploaded new materials and changed the original material name to English
DOI: 10.5281/zenodo.8138214
title: Clinicopathological relevance of BRAF and SMO mutations in Chinese patients with ameloblastoma

description: Uploaded new materials and changed the original material name to English
DOI: 10.5281/zenodo.8267153
title: Clinicopathological relevance of BRAF and SMO mutations in Chinese patients with ameloblastoma

description: Uploaded new materials and changed the original material name to English
DOI: 10.6084/m9.figshare.20432370
title: Synaptic and transcriptomic features of fear matrix pyramidal neurons predict inefficient fear extinction

description: Raw data of experiments in which we characterized mouse phenotypes that spontaneously show individual differences in adaptive or maladaptive fear extinction and, before the traumatic experience, we found that specific morphological, electrophysiological and transcriptomic patterns of fear matrix pyramidal neurons predispose to trauma-related disorders. Finally, by using an optogenetic approach we showed the possibility to rescue the inefficient fear extinction activating fear matrix infralimbic pyramidal neurons.
DOI: 10.6084/m9.figshare.20432370.v1
title: Synaptic and transcriptomic features of fear matrix pyramidal neurons predict inefficient fear extinction

description: Raw data of experiments in which we characterized mouse phenotypes that spontaneously show individual differences in adaptive or maladaptive fear extinction and, before the traumatic experience, we found that specific morphological, electrophysiological and transcriptomic patterns of fear matrix pyramidal neurons predispose to trauma-related disorders. Finally, by using an optogenetic approach we showed the possibility to rescue the inefficient fear extinction activating fear matrix infralimbic pyramidal neurons.
DOI: 10.5519/qd.3tejrgun
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (20 records)
DOI: 10.5066/p9tutk7j
title: Grain-size data for sediment samples collected in Whiskeytown Lake, northern California, in 2018 and 2019

description: This data release supersedes version 1.0, published in July 2021 at https://doi.org/10.5066/P9BHOPEP. Versioning details are documented in the accompanying Whiskeytown_VersionHistory.txt file The Carr Fire ignited in northern California in July 2018, and ultimately burned almost 300,000 acres (approximately half on federal lands), resulting in a federal major-disaster declaration (DR-4382). Approximately 93% of the area within Whiskeytown National Recreation Area was burned extensively during the Carr Fire, including all of the landscape surrounding and draining into Whiskeytown Lake. Whiskeytown Lake, a federally managed reservoir, subsequently acted as a sediment trap for material eroded from hillslopes and streambeds in the aftermath of the Carr Fire. The U.S. Geological Survey measured topographic change associated with sediment deposition and erosion in and around Whiskeytown Lake after the Carr Fire, in order to support calculations of post-fire sediment yield from the surrounding landscape. This data release includes grain-size data from sediment samples collected in submerged and subaerial regions in Whiskeytown Lake and around the reservoir margin. Data collection and analysis have been supported by funds through H.R. 2157, the Additional Supplemental Appropriations for Disaster Relief Act of 2019. Samples were collected using a Van Veen grab sampler deployed from a boat (the R/V San Lorenzo), or by hand from subaerial regions. Sediment grain size was analyzed at the USGS laboratory in Santa Cruz, Calif. Particles coarser than 2 mm were sieved using a RO-TAP sieve shaker, and particles finer than 2 mm were analyzed with a Coulter laser particle-size analyzer (LPSA), after organic matter had been removed using a hydrogen peroxide solution. Several months after the samples were analyzed, a problem was discovered with the LPSA that had caused inaccurate measurement of the coarse silt content (sizes approximately from 0.040 to 0.063 mm). Grain-size distribution of particles coarser than 0.063 mm is thought to have been unaffected, and the proportions of silt (0.040 to 0.063 mm) and clay (finer than 0.004 mm) also were thought to have been measured accurately. The full data set is reported here, but users should be aware that due to this instrument error the data between approximately grain sizes from 0.040 to 0.063 mm may be over-estimated and have unknown degrees of uncertainty. Proportions of gravel, sand, silt, and ratios among these size fractions, are considered accurate.
DOI: 10.6084/m9.figshare.24073389.v1
title: List of screened documents.docx

description: Das ist ein Test um die Verblindung der Autoren zu testen.
DOI: 10.6084/m9.figshare.24073389
title: List of screened documents.docx

description: Das ist ein Test um die Verblindung der Autoren zu testen.
DOI: 10.20387/bonares-tb0r-c157
title: Soil organic carbon content at Maize BBCH33

description: Organic carbon content was measured on soil samples from cover crop root channels and bulk soil taken at subsequent crop, maize, BBCH stage 33.
DOI: 10.5517/ccdc.csd.ccxmngm
title: CCDC 853041: Experimental Crystal Structure Determination

description: Related Article: Gao-Feng Wang, Xue-Tai Chen|2016|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.ccxmnbh
title: CCDC 853037: Experimental Crystal Structure Determination

description: Related Article: Gao-Feng Wang, Xue-Tai Chen|2016|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc274z2g
title: CCDC 2060355: Experimental Crystal Structure Determination

description: Related Article: Xin Zhang, Peiyu Geng, Guixia Liu, Zheng Huang|2021|Organometallics|40|2365|doi:10.1021/acs.organomet.1c00264
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc274zs5
title: CCDC 2060377: Experimental Crystal Structure Determination

description: Related Article: Xin Zhang, Peiyu Geng, Guixia Liu, Zheng Huang|2021|Organometallics|40|2365|doi:10.1021/acs.organomet.1c00264
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc274zv7
title: CCDC 2060379: Experimental Crystal Structure Determination

description: Related Article: Xin Zhang, Peiyu Geng, Guixia Liu, Zheng Huang|2021|Organometallics|40|2365|doi:10.1021/acs.organomet.1c00264
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5281/zenodo.8249757
title: Workflow for detecting biomedical articles with openly available underlying datasets - Datasets and extraction forms

description: The open data screening datasets contain both automatically detected (TRUE) Open Data statements by ODDPub, and its manual validation using Numbat extraction tool. Furthermore, extraction forms for both screenings – 2020 and 2021 – are included. The manually processed dataset for the calculation of the inter-rater reliability of manual validation can be also found here. (i) Data from articles published in 2020 (file ‘<em>charite_open_data_2020.csv</em>’) have been collected applying a slightly different sequence of questions in the extraction workflow than the articles published in 2021 (file ‘<em>charite_open_data_2021.csv</em>’). Both datasets were cleaned for any personal data or internal comments. Thus, they do not contain the default columns which in the raw export from Numbat contained commentaries regarding different question. Also, in another regard these files do not represent raw outputs of the Numbat extraction tool, but a processed version. This means that articles validated by more than two raters were first reconciled in Numbat, resulting in one final decision (output of extractions <strong>after reconciliation</strong>). Then from the output of extractions <strong>before reconciliation</strong> those articles validated by only 1 rater (and thus not part of the inter-rater reliability calculation) were selected, which were afterwards joined with the already reconciled dataset. The actual decision about Openness of validated dataset can be analysed in various ways: Column ‘<em>open_data_assessment</em>’/’<em>assessment</em>’ shows a binary decision between Open Data TRUE and FALSE. If that column indicates ‘<em>NULL</em>’, the dataset was classified into ‘non’-open category, and the result can be found on one of the following ways: Column ‘<em>reference_to_data</em>’ as ‘<em>n_a</em>’ for excluded articles, e.g. not producing any data. Column ‘<em>data_access</em>’ as ‘<em>restricted</em>’. Column ‘<em>own_or_reuse_data</em>’ as ‘<em>open_data_reuse</em>’. The original extraction form contains an option ‘unsure_open_data’ besides ‘<em>open_data</em>’/’<em>no_open_data</em>’ which was resolved either during reconciliation between multiple raters or by case-related consultation with a second rater in case of doubt, and is not included here. (ii) The inter-rater reliability calculation was made on randomly selected 100 articles for 2 raters. The third rater screened 20 articles sample, which is part of 100 sample. The tables provided here include both article-level data, and dataset-level data. (iii) The Numbat extarction forms used for the screenings in 2020 and 2021 are included in two formats - JSON and Markdown. (iv) ‘<em>data_dictionary_open_data.csv</em>’ table documents all variables of each data file containing here.
DOI: 10.6084/m9.figshare.24073509
title: <b>Peripheral Peroxisomal β-Oxidation Engages Neuronal Serotonin Signaling to Drive Stress-Induced Aversive Memory in </b><b><i>C. elegans</i></b>

description: original data for the paper: <b>Peripheral Peroxisomal β-Oxidation Engages Neuronal Serotonin Signaling to Drive Stress-Induced Aversive Memory in </b><b><i>C. elegans</i></b>
DOI: 10.6084/m9.figshare.24073509.v1
title: <b>Peripheral Peroxisomal β-Oxidation Engages Neuronal Serotonin Signaling to Drive Stress-Induced Aversive Memory in </b><b><i>C. elegans</i></b>

description: original data for the paper: <b>Peripheral Peroxisomal β-Oxidation Engages Neuronal Serotonin Signaling to Drive Stress-Induced Aversive Memory in </b><b><i>C. elegans</i></b>
DOI: 10.5066/p9l0578m
title: North American Bat Monitoring Program (NABat) Bayesian Hierarchical Model for Winter Abundance: Predicted Population Estimates (2022 and 2023)

description: The dataset is comprised of historical observations and predictions of winter colony counts at known sites for three bat species (little brown bat,�Myotis lucifugus; tricolored bat,�Perimyotis subflavus; and big brown bat,�Eptesicus fuscus). The dataset consists of two separate but related data files in tabular format (comma-separated values [.csv]). Each data set consists of predicted winter counts derived using winter status and trends modeling methods developed by the North American Bat Monitoring Program (NABat). These two predicted winter count data sets were used to inform NABat summertime status and trends analysis: 1) modeled abundance predictions for all hibernacula for all three species from 2010-2021, and 2) modeled abundance predictions for�P. subflavus�from 2010-2023 using updated monitoring data. Abundance predictions were derived with a combined modeling approach that applied an exponential linear interpolation model (when there were less than 4 observations per location) and a Bayesian hierarchical model (where there were 4 or more data points per location).
DOI: 10.6084/m9.figshare.24026545
title: Moving on to not fall behind? Technological sovereignty and the ‘geo-dirigiste’ turn in EU industrial policy

description: The fear of falling behind has been a driving force of European integration. Historically, Europe’s response to the looming <i>angst</i> of declining competitiveness has been more market-creation, not market-direction. Recently, however, Europe has – in the name of safeguarding Europe’s technological sovereignty – taken on a much more active role in directing economic activity towards sectors and technologies deemed geopolitically or geoeconomically important. In this paper, we attempt to explain this ‘geo-dirigiste’ turn. We reconstruct the evolution of EU industrial policy through the lens of Europe’s fear of falling behind, drawing not only on primary (including archival) and secondary sources, but also on original interviews and deep transfer learning applied to an original dataset of 66.548 documents. Focusing on Europe’s changing technological and geopolitical context, its coalitional underpinnings, and the role of ideational politics, we document and explain the historic shift away from market-creation and towards supranational market-direction in EU industrial policy.
DOI: 10.6084/m9.figshare.24026545.v2
title: Moving on to not fall behind? Technological sovereignty and the ‘geo-dirigiste’ turn in EU industrial policy

description: The fear of falling behind has been a driving force of European integration. Historically, Europe’s response to the looming <i>angst</i> of declining competitiveness has been more market-creation, not market-direction. Recently, however, Europe has – in the name of safeguarding Europe’s technological sovereignty – taken on a much more active role in directing economic activity towards sectors and technologies deemed geopolitically or geoeconomically important. In this paper, we attempt to explain this ‘geo-dirigiste’ turn. We reconstruct the evolution of EU industrial policy through the lens of Europe’s fear of falling behind, drawing not only on primary (including archival) and secondary sources, but also on original interviews and deep transfer learning applied to an original dataset of 66.548 documents. Focusing on Europe’s changing technological and geopolitical context, its coalitional underpinnings, and the role of ideational politics, we document and explain the historic shift away from market-creation and towards supranational market-direction in EU industrial policy.