cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.23896141.v1
title: Additional file 1 of Comparative yield of molecular diagnostic algorithms for autism spectrum disorder diagnosis in India: evidence supporting whole exome sequencing as first tier test

description: Supplementary Material 1
DOI: 10.6084/m9.figshare.23896153.v1
title: Additional file 4 of Comparative yield of molecular diagnostic algorithms for autism spectrum disorder diagnosis in India: evidence supporting whole exome sequencing as first tier test

description: Supplementary Material 4
DOI: 10.5517/ccdc.csd.cc2g32xl
title: CCDC 2267089: Experimental Crystal Structure Determination

description: Related Article: Kuntal Pal|2023|CSD Communication|||
description: Related Article: Souvik Barman, Jayanta Bag, Dhiraj Das, Kuntal Pal|2023|New J.Chem.|47|20952|doi:10.1039/D3NJ04231F
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.cc2g32vj
title: CCDC 2267087: Experimental Crystal Structure Determination

description: Related Article: Kuntal Pal|2023|CSD Communication|||
description: Related Article: Souvik Barman, Jayanta Bag, Dhiraj Das, Kuntal Pal|2023|New J.Chem.|47|20952|doi:10.1039/D3NJ04231F
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.cc2g6yyl
title: CCDC 2270810: Experimental Crystal Structure Determination

description: Related Article: Mengnan Yang, Yao Zhang, Shiyan Ji, Huafeng Li, Xinyi Ma, Yuzhen Jin, Pengtao Ma, Jingping Wang, Jingyang Niu|2023|Chem.Commun.|59|13627|doi:10.1039/D3CC04517J
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.cc2fy8vj
title: CCDC 2262468: Experimental Crystal Structure Determination

description: Related Article: Yu-Xin Tan, Ting-Ting Ying, Xiao-Wei Fan, Yan-Le Huang, Ming-Yang Wan, Fang-Xin Wang, Qiao-Lin Li, Meng-Na Wang|2023|New J.Chem.|47|20619|doi:10.1039/D3NJ03461E
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.cc2g32th
title: CCDC 2267086: Experimental Crystal Structure Determination

description: Related Article: Kuntal Pal|2023|CSD Communication|||
description: Related Article: Souvik Barman, Jayanta Bag, Dhiraj Das, Kuntal Pal|2023|New J.Chem.|47|20952|doi:10.1039/D3NJ04231F
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.cc2h8pn4
title: CCDC 2302266: Experimental Crystal Structure Determination

description: Related Article: S. Baletska, S. Techert, J. de J. Velazquez-Garcia|2023|Acta Crystallogr.,Sect.E:Cryst.Commun.|79|1086|doi:10.1107/S2056989023009209
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.cc2h9c06
title: CCDC 2302897: Experimental Crystal Structure Determination

description: Related Article: O.I. Kucheriv, I.A. Golenya, O. Prysiazhna, S.V. Partsevska, I.A. Gural'skiy|2023|Acta Crystallogr.,Sect.E:Cryst.Commun.|79|1098|doi:10.1107/S2056989023009295
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.cc2h9t1p
title: CCDC 2303332: Experimental Crystal Structure Determination

description: Related Article: C. Streeter, K.A. Wheeler, A.N. Lamm|2023|Acta Crystallogr.,Sect.E:Cryst.Commun.|79|1102|doi:10.1107/S2056989023009337
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.cc2gq4w7
title: CCDC 2285409: Experimental Crystal Structure Determination

description: Related Article: Jun-Jie Fang, Zheng Liu, Yang-Lin Shen, Yun-Peng Xie, Xing Lu|2023|Chemical Science|14|12637|doi:10.1039/D3SC04682F
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.cc2hb4yy
title: CCDC 2303670: Experimental Crystal Structure Determination

description: Related Article: H.P. Yennawar, M.W. Russell, L.J. Silverberg|2023|IUCrData|8|x230937|doi:10.1107/S2414314623009379
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.cc2hh4lr
title: CCDC 2308464: Experimental Crystal Structure Determination

description: Related Article: Yesol Woo, Martín Pérez-Rodríguez, Jae Hak Jeong, Manuel M. Piñeiro, Jong-Won Lee, Yongjae Lee, Sung-Hee Jung, Hyunjeong Kim, Satoshi Takeya, Yoshitaka Yamamoto, Ji-Ho Yoon|2023|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.cc1lq0r2
title: CCDC 1480924: Experimental Crystal Structure Determination

description: Related Article: Zhaoyun Wang, Xing Guo, Zhengxin Kang, Qinghua Wu, Heng Li, Cheng Cheng, Changjiang Yu, Lijuan Jiao, Erhong Hao|2023|Org.Lett.|25|744|doi:10.1021/acs.orglett.2c04184
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: 10.6084/m9.figshare.24598185
title: Field observations of mesozooplankton in the Kuroshio extension region in the spring of 2015

description: This dataset includes the species composition, abundance, and functional traits of zooplankton in the Kuroshio Extension area in the spring of 2015.
DOI: 10.6084/m9.figshare.24598185.v1
title: Field observations of mesozooplankton in the Kuroshio extension region in the spring of 2015

description: This dataset includes the species composition, abundance, and functional traits of zooplankton in the Kuroshio Extension area in the spring of 2015.
DOI: 10.6084/m9.figshare.24598176
title: checklist, File S1.pdf

description: checklist
DOI: 10.6084/m9.figshare.24598188
title: Transcripts. File S2.pdf

description: interviews of informants
DOI: 10.6084/m9.figshare.23962024.v1
title: Additional file 5 of Reliability and measurement error of sensorimotor tests in patients with neck pain: a systematic review

description: Additional file 5. GRADE Downgrading Measurement error. Reasons for downgrading
DOI: 10.6084/m9.figshare.23962015
title: Additional file 2 of Reliability and measurement error of sensorimotor tests in patients with neck pain: a systematic review

description: Additional file 2. Risk of bias Reliability. Items of the assessment of risk of bias for reliability
DOI: 10.6084/m9.figshare.23962018.v1
title: Additional file 3 of Reliability and measurement error of sensorimotor tests in patients with neck pain: a systematic review

description: Additional file 3. Risk of bias Measurement error. Items of the assessment of risk of bias for measurement error
DOI: 10.6084/m9.figshare.23962024
title: Additional file 5 of Reliability and measurement error of sensorimotor tests in patients with neck pain: a systematic review

description: Additional file 5. GRADE Downgrading Measurement error. Reasons for downgrading
DOI: 10.6084/m9.figshare.23962021
title: Additional file 4 of Reliability and measurement error of sensorimotor tests in patients with neck pain: a systematic review

description: Additional file 4. GRADE Downgrading Reliability. Reasons for downgrading
DOI: 10.6084/m9.figshare.23962015.v1
title: Additional file 2 of Reliability and measurement error of sensorimotor tests in patients with neck pain: a systematic review

description: Additional file 2. Risk of bias Reliability. Items of the assessment of risk of bias for reliability
DOI: 10.6084/m9.figshare.23962018
title: Additional file 3 of Reliability and measurement error of sensorimotor tests in patients with neck pain: a systematic review

description: Additional file 3. Risk of bias Measurement error. Items of the assessment of risk of bias for measurement error
DOI: 10.5281/zenodo.10164476
title: urban expansion dataset
DOI: 10.5281/zenodo.10164475
title: urban expansion dataset
DOI: 10.6084/m9.figshare.24596745
title: <b>Leaf anatomy, </b><b>not</b><b> root anatomy, is related to yield </b><b>improvement</b><b> </b><b>in</b><b> winter wheat </b><b>genotypes</b><b> in a subtropical </b><b>area</b><b> of east</b><b>ern</b><b> China</b>

description: Wheat (Triticum aestivum L.) production in the subtropical environment of eastern China plays a critical role in national food security. However, high temperatures and high humidity during the reproductive phase in the region limit wheat growth and yields. We investigated the relationships between anatomical traits in leaves and roots and grain yield to understand the effects of yield improvement on anatomical traits in a hot, wet climate. We selected 20 wheat genotypes that have been widely planted in the past decade in Nantong, Jiangsu, China. We measured yields in the fieldand anatomical traits of seminal roots and flag leaves relevant to carbon allocation and water transport at anthesis. Cross-sectional flag leaf mesophyll area was negatively correlated with yields, but cross-sectional leaf vein area, xylem area of the major vein, and leaf thickness were positively correlated with yield. However, there were no significant associations between yield and root anatomical traits, including cross-sectional seminal root cortex area and xylem area.Yield improvement in eastern China is associated with the increase in leaf vein area, leaf thickness, and vessel size in the major vein, but is not related to the anatomical traits in roots, implying that high-yielding genotypes had increased leaf water transport efficiency and may effectively regulate canopy temperature and maintaingas exchange. These could be key anatomical adaptive strategies to cope with high temperature and highhumidity stress and contribute to yield improvement in the subtropical environment of eastern China.
DOI: 10.6084/m9.figshare.24596745.v2
title: <b>Leaf anatomy, </b><b>not</b><b> root anatomy, is related to yield </b><b>improvement</b><b> </b><b>in</b><b> winter wheat </b><b>genotypes</b><b> in a subtropical </b><b>area</b><b> of east</b><b>ern</b><b> China</b>

description: Wheat (Triticum aestivum L.) production in the subtropical environment of eastern China plays a critical role in national food security. However, high temperatures and high humidity during the reproductive phase in the region limit wheat growth and yields. We investigated the relationships between anatomical traits in leaves and roots and grain yield to understand the effects of yield improvement on anatomical traits in a hot, wet climate. We selected 20 wheat genotypes that have been widely planted in the past decade in Nantong, Jiangsu, China. We measured yields in the fieldand anatomical traits of seminal roots and flag leaves relevant to carbon allocation and water transport at anthesis. Cross-sectional flag leaf mesophyll area was negatively correlated with yields, but cross-sectional leaf vein area, xylem area of the major vein, and leaf thickness were positively correlated with yield. However, there were no significant associations between yield and root anatomical traits, including cross-sectional seminal root cortex area and xylem area.Yield improvement in eastern China is associated with the increase in leaf vein area, leaf thickness, and vessel size in the major vein, but is not related to the anatomical traits in roots, implying that high-yielding genotypes had increased leaf water transport efficiency and may effectively regulate canopy temperature and maintaingas exchange. These could be key anatomical adaptive strategies to cope with high temperature and highhumidity stress and contribute to yield improvement in the subtropical environment of eastern China.
DOI: 10.6084/m9.figshare.24596745.v1
title: <b>Leaf anatomy, </b><b>not</b><b> root anatomy, is related to yield </b><b>improvement</b><b> </b><b>in</b><b> winter wheat </b><b>genotypes</b><b> in a subtropical </b><b>area</b><b> of east</b><b>ern</b><b> China</b>

description: Wheat (Triticum aestivum L.) production in the subtropical environment of eastern China plays a critical role in national food security. However, high temperatures and high humidity during the reproductive phase in the region limit wheat growth and yields. We investigated the relationships between anatomical traits in leaves and roots and grain yield to understand the effects of yield improvement on anatomical traits in a hot, wet climate. We selected 20 wheat genotypes that have been widely planted in the past decade in Nantong, Jiangsu, China. We measured yields in the fieldand anatomical traits of seminal roots and flag leaves relevant to carbon allocation and water transport at anthesis. Cross-sectional flag leaf mesophyll area was negatively correlated with yields, but cross-sectional leaf vein area, xylem area of the major vein, and leaf thickness were positively correlated with yield. However, there were no significant associations between yield and root anatomical traits, including cross-sectional seminal root cortex area and xylem area.Yield improvement in eastern China is associated with the increase in leaf vein area, leaf thickness, and vessel size in the major vein, but is not related to the anatomical traits in roots, implying that high-yielding genotypes had increased leaf water transport efficiency and may effectively regulate canopy temperature and maintaingas exchange. These could be key anatomical adaptive strategies to cope with high temperature and highhumidity stress and contribute to yield improvement in the subtropical environment of eastern China.
DOI: 10.6084/m9.figshare.24598278
title: Datasets - RMSC

description: Dataset for the paper: "The effects of group adaptation on task performance: An agent-based approach"
DOI: 10.6084/m9.figshare.24598278.v1
title: Datasets - RMSC

description: Dataset for the paper: "The effects of group adaptation on task performance: An agent-based approach"
DOI: 10.48606/10
title: EUSANCT: Does Supranational Coercion Work? Onset, Impact and Effectiveness of EU Sanctions

description: The EUSANCT Dataset covers sanction threats and imposed sanctions by the European Union, the United States and the United Nations from 1989-2015. Disaggregating the sanctioning efforts from the EU, the US and the UN, the EUSANCT Dataset shows that the imposition and effectiveness of sanctions varies widely between these senders. EUSANCT is a tool for sender-focused analyses and related examinations – and allows scholars to analyze the conditions under which the liberal senders have employed a wide range of economic measures during the entire post-Cold War era. Moreover, this comprehensive dataset traces the evolution and effectiveness of economic coercion over time. The research community will thus find the database useful to analyze standard questions about the onset, side-effects and effectiveness of sanctions.
description: The EUSANCT Dataset amends, merges and updates some of the most widely used sanction data sources that have been developed in recent years: the Threat and Imposition of Economic Sanctions (TIES) dataset (Morgan et al., 2009; 2014), the dataset by Hufbauer, Schott and Elliot (HSE) (Hufbauer et al., 1990; 2009) and the GIGA Sanctions Dataset (Portela and von Soest, 2012). Since EUSANCT is built upon these datasets, we would like to thank the authors of these resources for their support: T. Clifton Morgan, Clara Portela and Christian von Soest.
description: EUSANCT consists of a case-level and a dyadic version. The first database contains 325 sanction threats and imposed sanctions by the EU, the US, the UN or a coalition of these senders. Additionally – in order to explain the onset of sanctions or the effect of sanctions on certain outcomes – the second version is a dyadic dataset that covers 199 countries for the period from 1989-2015, resulting in 5.077 country-years, and contains the information from the case-level dataset.
description: When using EUSANCT, please cite the dataset article: Weber P.M., Schneider G. (2020) Post-cold war sanctioning by the EU, the UN, and the US: Introducing the EUSANCT dataset. Conflict Management and Peace Science. If needed, please also cite the respective codebook: Weber P.M., Schneider G. (2020) EUSANCT Dataset – Codebook: Case-level Dataset – Version 1.0 or Weber P.M., Schneider G. (2020) EUSANCT Dataset – Codebook: Dyadic Dataset – Version 1.0
DOI: 10.48606/9
title: KOSVED: Konstanz One-Sided Event Dataset

description: KOSVED provides detailed information on the magnitude and location of events of one-sided violence in 20 civil wars. Schneider and Bussmann (2013) describe the data set in detail. Information on the variables can be found in the KOSVED codebook
description: One-sided violence occurs frequently during war. Systematic research on this form of violence, however, only started to emerge since the 1990s. Most existing data sets only include information about the most serious episodes of one-sided violence like mass killings or genocides, or are temporarily or spatially highly aggregated. The KOSVED project offers detailed information about particular instances of one-sided violence.
description: For KOSVED data organized by event, please visit the KOSVED data page: https://cms.uni-konstanz.de/fileadmin/archive/kosved/polver/gschneider/forschung/kosved/data/index.html. When using KOSVED, please cite the data set article: Schneider, Gerald and Margit Bussmann. 2013. “Accounting for the Dynamics of One-Sided Violence: Introducing KOSVED”. Journal of Peace Research 50: (5) and, if needed, the codebook: Margit Bussmann and Gerald Schneider (with Constantin Ruhe, Adam Scharpf and Roos van der Haer). 2011. Konstanz One-Sided Violence Event Dataset (KOSVED) Codebook. Version 2.0.
DOI: 10.48606/8
title: Data for "Can young-of-the-year invasive fish keep up with young-of-the-year native fish? A comparison of feeding rates between invasive sticklebacks and whitefish"

description: This data set provides feeding rates of juvenile sticklebacks and whitefish of various sizes feeding on seven different zooplankton species in aquaria. The data set has been analysed in Ogorelec et al. (2022) Can young-of-the-year invasive fish keep up with young-of-the-year native fish? A comparison of feeding rates between invasive sticklebacks and whitefish, Ecology & Evolution
description: The data set consists of 300 feeding observations and 5 columns: 1) fish species, 2) fish size [total size in cm], 3) fish ID, 4) zooplankton species, and 5) feeding rate (number of zooplankton ingested per 3 minutes investigation period]
DOI: 10.48606/12
title: Dataset for “Morphological defences and defence-cost-trade-offs in Daphnia in response to two co-occurring invertebrate predators”

description: This data set provides measurements of life history and morphological anti-predator responses of eight Daphnia galeata clones to the kairomones of two invertebrate predators, Leptodora kindtii and Bythotrephes longimanus. The first file “Octorina_etal_2022_life_history_responses.csv” provides data for age at first reproduction [days] and number of neonates per Daphnia [#/Daphnia] in 92 experimental units distributed across eight clones (A-H) and three treatments (Bythotrephes, Leptodora, and Control). The second file “Octorina_etal_2022_morphological_responses.csv” provides measurements of Daphnia body size [µm], body width [µm], head size [µm], spina size [µm], and eye diameter [µm] of 337 individuals measured in the 92 experimental units across the eight clones and three treatments. For more details see Octorina et al. (2022) Morphological defences and defence–cost trade‐offs in Daphnia in response to two co‐occurring invertebrate predators. Freshwater Biology, doi: https://doi.org/10.1111/fwb.13888
DOI: 10.48606/45
title: Evolution of giant virus and virophage after 57 days of coexistence

description: We grew hosts in the presence and absence of the giant virus and virophage over ~280 host generations. We found that the three players persisted, but that the beneficial effect of the virophage for the host population diminished over time. We further tested whether the level of exploitation and replication evolved in the giant virus and/or virophage population over the course of the experiment and whether the changes were such that they avoid overexploitation.