cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.5796011
title: Enchelyopus cimbrius decontaminated FSCR

description: .
DOI: 10.6084/m9.figshare.16787038
title: Digital Earth: A platform for the SDGs and green transformation at the global and local level, employing essential SDGs variables

description: The 17 Sustainable Development Goals present clear directions toward the green transformation being sought by the global community. The SDGs are an integrated framework, with a complex network of interlinkages between the goals, targets and indicators, and they pose wicked problems to society. Consequently, measuring progress and achievements with the SDGs requires the integration of various spatio-temporal datasets from different domains and the synthesis of disciplines to describe a system of systems. The Group on Earth Observations has developed the concept of Essential Variables to describe systems across Societal Benefit Areas that are applicable for this purpose. Digital Earth is a virtual representation of the planet, potentially encompassing all its systems and life forms, including human societies. Designed as a multi-dimensional, multi-scale, multi-temporal, and multi-layer information facility, Digital Earth is a valuable platform that can contribute to the achievement of the SDGs and a green transformation. To that end, a set of Essential SDGs Variables (ESDGVs) for the platform are proposed and cases of implementation and use are introduced.
DOI: 10.6084/m9.figshare.16787038.v1
title: Digital Earth: A platform for the SDGs and green transformation at the global and local level, employing essential SDGs variables

description: The 17 Sustainable Development Goals present clear directions toward the green transformation being sought by the global community. The SDGs are an integrated framework, with a complex network of interlinkages between the goals, targets and indicators, and they pose wicked problems to society. Consequently, measuring progress and achievements with the SDGs requires the integration of various spatio-temporal datasets from different domains and the synthesis of disciplines to describe a system of systems. The Group on Earth Observations has developed the concept of Essential Variables to describe systems across Societal Benefit Areas that are applicable for this purpose. Digital Earth is a virtual representation of the planet, potentially encompassing all its systems and life forms, including human societies. Designed as a multi-dimensional, multi-scale, multi-temporal, and multi-layer information facility, Digital Earth is a valuable platform that can contribute to the achievement of the SDGs and a green transformation. To that end, a set of Essential SDGs Variables (ESDGVs) for the platform are proposed and cases of implementation and use are introduced.
DOI: 10.25678/0004cx
title: Data for: What agro-input dealers know, sell and say to smallholder farmers about pesticides: A mystery shopping and KAP analysis in Uganda.

description: **Dataset for MYSKAPADU:** Mystery Shopping, and Knowledge, Attitude and Practice of Pesticides among Agro-Input Dealers in UgandaIncluding study tools to collect data, raw data, analysis scripts, analyzed outcomes and final data**Publication Title:**What agro-input dealers know, sell and say to smallholder farmers about pesticides: A mystery shopping and KAP analysis in Uganda.**Publication abstract:****Background:** Pesticides can have negative effects on human and environmental health, especially when not handled as intended. In many countries, agro-input dealers sell pesticides to smallholder farmers and are supposed to provide recommendations on application and handling. This study investigates the role of agro-input dealers in transmitting safety information from chemical manufacturers to smallholder farmers, assesses the safety of their shops, what products they sell, and how agro-input dealers abide by laws and recommendations on best practices for preventing pesticide risk situations.**Methods:** Applying a mixed-methods approach, we studied agro-input dealers in Central and Western Uganda. Structured questionnaires were applied to understand agro-input dealers’ knowledge, attitude and practices on pesticides (n = 402). Shop layout (n = 392) and sales interaction (n = 236) were assessed through observations. Actual behavior of agro-input dealers when selling pesticides was revealed through mystery shopping with local farmers buying pesticides (n = 94).**Results:** While 97.0% of agro-input dealers considered advising customers their responsibility, only 26.6% of mystery shoppers received any advice from agro-input dealers when buying pesticides. 53.2% of products purchased were officially recommended. Sales interactions focused mainly on product choice and price. Agro-input dealers showedlimited understanding of labels and active ingredients. Moreover, 25.0% of shops were selling repackaged products, while 10.5% sold unmarked or unlabeled products. 90.1% of shops were lacking safety equipment. Pesticides of World Health Organization toxicity class I and II were sold most frequently. Awareness of health effects seemed to be high, although agro-input dealers showed incomplete hygiene practices and were lacking infrastructure. One reason for these findings might be that only 55.7% of agro-input dealers held a certificate of competency on safe handling of pesticides and even fewer (5.7%) were able to provide a government-approved up-to-date license.**Conclusion:** The combination of interviews, mystery shopping and observations proved to be useful, allowing the comparison of stated and actual behavior. While agro-input dealers want to sell pesticides and provide the corresponding risk advice, their customers might receive neither the appropriate product nor sufficient advice on proper handling. In light of the expected increase in pesticide use, affordable, accessible and repeated pesticide training and shop inspections are indispensable.
DOI: 10.15468/cps4nt
title: New records of water mites (Acari, Hydrachnidia) from Iran with the description of one new species based on morphology and DNA barcodes

description: This dataset contains the digitized treatments in Plazi based on the original journal article Pešić, Vladimir, Zawal, Andrzej, Saboori, Alireza, Smit, Harry (2021): New records of water mites (Acari, Hydrachnidia) from Iran with the description of one new species based on morphology and DNA barcodes. Zootaxa 5082 (5): 425-440, DOI: https://doi.org/10.11646/zootaxa.5082.5.2
DOI: 10.5281/zenodo.5796065
title: Dataset for manuscript "The effect of personalised versus non-personalised study invitations on recruitment: An embedded randomised controlled recruitment trial"

description: This dataset contains the original data to the manuscript <em>The effect of personalised versus non-personalised study invitations on recruitment: An embedded randomised controlled recruitment trial. </em>The study is registered in the ISRCTN registry (ISRCTN18404129) and the Northern Ireland Hub for Trials Methodology Research SWAT repository (SWAT 112). A full protocol for the study has been published: Woodford J, Norbäck K, Hagström J, Grönqvist H, Parker A, Arundel C, et al. Study within a trial (SWAT) protocol. Investigating the effect of personalised versus non-personalised study invitations on recruitment: an embedded randomised controlled recruitment trial. Contemp Clin Trials Commun. 2020; doi: 10.1016/j.conctc.2020.100572
DOI: 10.5281/zenodo.5796064
title: Dataset for manuscript "The effect of personalised versus non-personalised study invitations on recruitment: An embedded randomised controlled recruitment trial"

description: This dataset contains the original data to the manuscript <em>The effect of personalised versus non-personalised study invitations on recruitment: An embedded randomised controlled recruitment trial. </em>The study is registered in the ISRCTN registry (ISRCTN18404129) and the Northern Ireland Hub for Trials Methodology Research SWAT repository (SWAT 112). A full protocol for the study has been published: Woodford J, Norbäck K, Hagström J, Grönqvist H, Parker A, Arundel C, et al. Study within a trial (SWAT) protocol. Investigating the effect of personalised versus non-personalised study invitations on recruitment: an embedded randomised controlled recruitment trial. Contemp Clin Trials Commun. 2020; doi: 10.1016/j.conctc.2020.100572
DOI: 10.6084/m9.figshare.17048156
title: Variation in biotic interactions mediates the effects of masting and rainfall fluctuations on seedling demography in a subtropical rainforest

description: Data from: Martini et al. 2021. Variation in biotic interactions mediates the effects of masting and rainfall fluctuations on seedling demography in a subtropical rain forest. Journal of Ecology
DOI: 10.6084/m9.figshare.17048156.v1
title: Variation in biotic interactions mediates the effects of masting and rainfall fluctuations on seedling demography in a subtropical rainforest

description: Data from: Martini et al. 2021. Variation in biotic interactions mediates the effects of masting and rainfall fluctuations on seedling demography in a subtropical rain forest. Journal of Ecology
DOI: 10.25592/uhhfdm.9768
title: Data for input and received output BEKLIFUH model

description: The file Full_HHmetro_BWIdata_L_Martes_2021.xlsx Contains the data transformed from available data from the National Forest Inventory of 2012 in the correct format to be inserted in the BEKLIFUH program. <br> <br> The file HH_m20210811_1_2021-08-11_13-44-55.txt contains instructions for the model parameters as they where configured during the model run. <br> <br> The file Main_compiled_output_BEKLIFUH_L_Martes_14102021.xlxs contains the output from the BEKLIFUH model used for the research on Forest carbon sequestration in the hamburg metropolitain area
DOI: 10.5066/p9l9hy6d
title: Marine Corps Base Hawaii Oahu Hawaiian Hoary Bat Acoustic Data 2019-2021

description: Acoustic sampling for presence of the endangered Hawaiian hoary bat (Lasiurus semotus, also known as Aeorestes semotus) was conducted at 17 stations across four Marine Corps Base Hawaii (MCBH) properties on O‘ahu Island, Hawai‘i. Bats were confirmed as present at all properties; MCBH K?ne?ohe Bay on M?kapu Peninsula, Marine Corps Training Area Bellows (MCTAB) in Waimanalo, Camp H.M. Smith in Halawa Heights, and Pu'uloa Range Training Facility (RTF) on the 'Ewa coastal plain. Hawaiian hoary bats were recorded in airspace at all four properties during important periods of Hawaiian hoary bat life history, including periods of pregnancy, lactation, and pup fledging; however, overall presence was low. Foraging activity as identified from characteristic feeding buzzes was very rare and was recorded on only three nights over the entire study. Within-night bat detection pooled for all nights and stations at each property showed bat activity was mostly confined to the first several hours of the night at MCBH Kaneohe Bay and Pu'uloa RTF, whereas bat activity was spread throughout the night at Camp H.M. Smith and MCTAB. Recordings were analyzed with Kaleidoscope version 5.1.9h (Wildlife Acoustics Inc, Concord, Massachusetts). This data release consists of one tabular dataset including bat acoustic activity at all stations from February 2019 to March 2021.
DOI: 10.5066/p9xgk1gg
title: Florida invasive Leiocephalus carinatus ecological niche model, thermal environment, and thermal tolerance, 1991-2020

description: The publication "Invaders from Islands: Thermal Matching, Potential, or Plasticity?" is comprised of data derived from multiple datasets. These datasets include climatic and temperature variables used in ecological niche models for predicting suitable habitat for Leiocephalus carinatus in its invaded and native ranges. Also included are thermal tolerance measurements assessed in March 2020 for Leiocephalus carinatus from Key Largo and Cocoa Beach, Florida, USA. Additionally, we include weatherstation data for local minimum and maximum ambient temperatures for the experimentally assessed populations at short (months) and long (decades) timescales. The dataset "curly_thermal_limits" describes thermal tolerance data for Leiocephalus carinatus captured in March 2020 from two nonnative populations in Florida. The dataset "pre_study_ambient_temps_long" contains ambient minimum and maximum temperatures derived from weather stations near Cocoa Beach and Key Largo, Florida, spanning from 1991 to 2020. The dataset "pre_study_ambient_temps_short" contains ambient minimum and maximum temperatures derived from weather stations near Cocoa Beach and Key Largo, Florida, spanning from October 1 2019 to March 8, 2020 (the last day of lizard thermal lizard sampling for this study). There are three occurrence datasets with GPS locations used to develop ecological niche models representing all points, invasive points, and native points, respectively. (ALL_occurrences.csv , INVADED_occurrences.csv, NATIVE_occurrences.csv). There are two datasets describing background points (GPS locations) used in ecological niche models for the invaded and native ranges, respectively (background_points_invad.csv , background_points_NR.csv ). There is one dataset (thresholded_differences.csv) containing thresholded relative suitability data extracted from two ecological niche models. There are three sets of six raster files used to develop ecological niche models (described in detail in Step 3), for native range (files ending with "n"), full model (invaded plus native range; files ending with "f") and model projection area (files ending with "p"). In addition to data, we included scripts and model output as part of this data release. One zipped folder (R_scripts) contains various R scripts used in the analysis, and another zipped folder (Ensemble_model_output) contains output files from ensemble model analyses using BIOMOD (a free open-source package implemented in R).
DOI: 10.6084/m9.figshare.17313005
title: How many researchers are there in the world? Codebook and dataset.

description: These are the dataset and codebook used to estimate global and regional researcher headcount. They incorporate<br>R&D personnel data from international sources to determine global and regional employer research-years, and couple with employee surveys, educational attainment, patent, publication, and population data. Sources and definitions are listed in the codebook. Transformations and results are described in an accompanying paper and presentation.
DOI: 10.5281/zenodo.5796033
title: Enteroctopus dofleini decontaminated FSCR

description: .
DOI: 10.5281/zenodo.5796032
title: Enteroctopus dofleini decontaminated FSCR

description: .
DOI: 10.21227/6531-ds79
title:  Nankai Chinese Font Style

description: Nankai Chinese Font Style dataset contains both handwriting and standard printing. Furthermore, the Chinese characters in each font style include not only the fifirst-level simplifified Chinese characters,but also some rare characters and ancient Chinese charactersthat cannot be represented by Unicode encoding.
DOI: 10.15468/wynenz
title: Une espèce nouvelle menacée de Coelospermum Blume (Rubiaceae, Morindeae), endémique du Nord de la Nouvelle-Calédonie et clarification du statut de C. fragrans (Montrouz.) Baill. ex Guillaumin

description: This dataset contains the digitized treatments in Plazi based on the original journal article Mouly, Arnaud, Fleurot, Dominique (2021): Une espèce nouvelle menacée de Coelospermum Blume (Rubiaceae, Morindeae), endémique du Nord de la Nouvelle-Calédonie et clarification du statut de C. fragrans (Montrouz.) Baill. ex Guillaumin. Adansonia (3) 43 (25): 269-276, DOI: 10.5252/adansonia2021v43a25
DOI: 10.5281/zenodo.5602045
title: Trees and Alignments for: A species-level phylogenetic framework and infrageneric classification for the genus Maesa (Primulaceae)

description: Alignments, gene trees and species trees from phylogenomic analyses in Sumanon et al. (in prep.), A species-level phylogenetic framework and infrageneric classification for the genus Maesa (Primulaceae). Raw sequence data are deposited in Sequence Read Archive (SRA) data available on NCBI servers under BioProject number PRJNA774956. Scripts for all phylogenetic analyses are available at https://github.com/pebgroup/Maesa_sptree.
DOI: 10.5281/zenodo.5602044
title: Trees and Alignments for: A species-level phylogenetic framework and infrageneric classification for the genus Maesa (Primulaceae)

description: Alignments, gene trees and species trees from phylogenomic analyses in Sumanon et al. (in prep.), A species-level phylogenetic framework and infrageneric classification for the genus Maesa (Primulaceae). Raw sequence data are deposited in Sequence Read Archive (SRA) data available on NCBI servers under BioProject number PRJNA774956. Scripts for all phylogenetic analyses are available at https://github.com/pebgroup/Maesa_sptree.
DOI: 10.5517/ccdc.csd.cc1pxncm
title: CCDC 1576671: Experimental Crystal Structure Determination

description: Related Article: T.A. Antonenko, D.B. Shpakovsky, D.А. Berseneva, Yu.A. Gracheva, L.G. Dubova, P.N. Shevtsov, O.M. Redkozubova, E.F. Shevtsova, V.A. Tafeenko, L.A. Aslanov, E.R. Milaeva|2020|J.Organomet.Chem.|909|121089|doi:10.1016/j.jorganchem.2019.121089
description: Related Article: T.A.Antonenko, D.B.Shpakovsky, M.V.Vorobyov, Yu.A.Gracheva, E.V.KharitonaShvili, L.G.Dubova, E.V.Shevtsova, V.A.Tafeeenko, L.A.Aslanov, E.R.Milaeva|2018|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc248n25
title: CCDC 1974516: Experimental Crystal Structure Determination

description: Related Article: Jingui Duan|2019|CSD Communication|||
description: Related Article: Shuang Liu, Yuhang Huang, Qiubing Dong, Huijie Wang, Jingui Duan|2020|Inorg.Chem.|59|9569|doi:10.1021/acs.inorgchem.0c00507
DOI: 10.5517/ccdc.csd.cc24r1qp
title: CCDC 1988362: Experimental Crystal Structure Determination

description: Related Article: Pablo Cortón, Hongye Wang, Iago Neira, Arturo Blanco-Gómez, Elena Pazos, Carlos Peinador, Hao Li, Marcos D. García|2021|Org.Chem.Front.|9|81|doi:10.1039/D1QO01331A
DOI: 10.5517/ccdc.csd.cc24rk6p
title: CCDC 1988842: Experimental Crystal Structure Determination

description: Related Article: Pablo Cortón, Hongye Wang, Iago Neira, Arturo Blanco-Gómez, Elena Pazos, Carlos Peinador, Hao Li, Marcos D. García|2021|Org.Chem.Front.|9|81|doi:10.1039/D1QO01331A
DOI: 10.5517/ccdc.csd.cc25p8ms
title: CCDC 2016445: Experimental Crystal Structure Determination

description: Related Article: Dongfeng Yang, Chengyi Wang, Yu Wang, Guohua Liu, Tanyu Cheng, Rui Liu|2021|Org.Chem.Front.|9|102|doi:10.1039/D1QO01482J
DOI: 10.5517/ccdc.csd.cc26qcht
title: CCDC 2047286: Experimental Crystal Structure Determination

description: Related Article: Marius Gaedke, Henrik Hupatz, Felix Witte, Susanne M. Rupf, Clara Douglas, Hendrik V. Schröder, Lukas Fischer, Moritz Malischewski, Beate Paulus, Christoph A. Schalley|2022|Org.Chem.Front.|9|64|doi:10.1039/D1QO01553B
description: Related Article: Marius Gaedke, Henrik Hupatz, Felix Witte, Susanne M. Rupf, Clara Douglas, Hendrik V. Schröder, Lukas Fischer, Moritz Malischewski, Beate Paulus and Christoph A. Schalley|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc26t8jv
title: CCDC 2050077: Experimental Crystal Structure Determination

description: Related Article: Ke Li, Zhipeng Zhang, Jiahui Zhu, Yuxin Wang, Jing Zhao, Er-Qing Li, Zheng Duan|2022|Org.Chem.Front.|9|19|doi:10.1039/D1QO01124C
DOI: 10.5517/ccdc.csd.cc271qqr
title: CCDC 2057244: Experimental Crystal Structure Determination

description: Related Article: Ke Li, Zhipeng Zhang, Jiahui Zhu, Yuxin Wang, Jing Zhao, Er-Qing Li, Zheng Duan|2022|Org.Chem.Front.|9|19|doi:10.1039/D1QO01124C
DOI: 10.5281/zenodo.5796067
title: Enypniastes eximia decontaminated FSCR

description: .
DOI: 10.5281/zenodo.5796066
title: Enypniastes eximia decontaminated FSCR

description: .
DOI: 10.5517/ccdc.csd.cc23zpjb
title: CCDC 1965912: Experimental Crystal Structure Determination

description: Related Article: Jitan Zhang, Manyi Wu, Hu Ju, Haitao Yang, Baiyang Qian, Ke Ding, Jiaping Wu, Meihua Xie|2021|Org.Chem.Front.|9|32|doi:10.1039/D1QO01069G
DOI: 10.5517/ccdc.csd.cc27szfg
title: CCDC 2079586: Experimental Crystal Structure Determination

description: Related Article: Alexander A. Kaltenberg, Nikolay V. Somov, Yulia B. Malysheva, Dmitry L. Vorozhtsov, Ivan D. Grishin|2021|Eur.J.Inorg.Chem.|2021|4868|doi:10.1002/ejic.202100765
DOI: 10.5517/ccdc.csd.cc27szgh
title: CCDC 2079587: Experimental Crystal Structure Determination

description: Related Article: Alexander A. Kaltenberg, Nikolay V. Somov, Yulia B. Malysheva, Dmitry L. Vorozhtsov, Ivan D. Grishin|2021|Eur.J.Inorg.Chem.|2021|4868|doi:10.1002/ejic.202100765
DOI: 10.5517/ccdc.csd.cc27szlm
title: CCDC 2079591: Experimental Crystal Structure Determination

description: Related Article: Alexander A. Kaltenberg, Nikolay V. Somov, Yulia B. Malysheva, Dmitry L. Vorozhtsov, Ivan D. Grishin|2021|Eur.J.Inorg.Chem.|2021|4868|doi:10.1002/ejic.202100765
DOI: 10.5517/ccdc.csd.cc229bk9
title: CCDC 1915600: Experimental Crystal Structure Determination

description: Related Article: Alexander A. Kaltenberg, Nikolay V. Somov, Yulia B. Malysheva, Dmitry L. Vorozhtsov, Ivan D. Grishin|2021|Eur.J.Inorg.Chem.|2021|4868|doi:10.1002/ejic.202100765
DOI: 10.5517/ccdc.csd.cc281wnw
title: CCDC 2087188: Experimental Crystal Structure Determination

description: Related Article: Yabo Deng, Yongzhen Li, Yalan Wang, Shuo Sun, Sichao Ma, Pengfei Jia, Wenguang Li, Kairong Wang, Wenjin Yan|2022|Org.Chem.Front.|9|210|doi:10.1039/D1QO01392K
DOI: 10.5517/ccdc.csd.cc281wpx
title: CCDC 2087189: Experimental Crystal Structure Determination

description: Related Article: Yabo Deng, Yongzhen Li, Yalan Wang, Shuo Sun, Sichao Ma, Pengfei Jia, Wenguang Li, Kairong Wang, Wenjin Yan|2022|Org.Chem.Front.|9|210|doi:10.1039/D1QO01392K
DOI: 10.5517/ccdc.csd.cc282vcl
title: CCDC 2088109: Experimental Crystal Structure Determination

description: Related Article: Luke I. Chambers, Dmitry S. Yufit, Mark A. Fox, Osama M. Musa, Jonathan W. Steed|2021|Chem.Commun.|58|80|doi:10.1039/D1CC06047C
DOI: 10.5517/ccdc.csd.cc282vdm
title: CCDC 2088110: Experimental Crystal Structure Determination

description: Related Article: Luke I. Chambers, Dmitry S. Yufit, Mark A. Fox, Osama M. Musa, Jonathan W. Steed|2021|Chem.Commun.|58|80|doi:10.1039/D1CC06047C
DOI: 10.5517/ccdc.csd.cc282vfn
title: CCDC 2088111: Experimental Crystal Structure Determination

description: Related Article: Luke I. Chambers, Dmitry S. Yufit, Mark A. Fox, Osama M. Musa, Jonathan W. Steed|2021|Chem.Commun.|58|80|doi:10.1039/D1CC06047C
DOI: 10.5517/ccdc.csd.cc283kwv
title: CCDC 2088807: Experimental Crystal Structure Determination

description: Related Article: Tao Ma, Jiawei Hua, Mixue Bian, Hong Qin, Xinxin Lin, Xiaobing Yang, Chengkou Liu, Zhao Yang, Zheng Fang, Kai Guo|2021|Org.Chem.Front.|9|25|doi:10.1039/D1QO01087E
DOI: 10.21227/kws9-rk52
title: Test 12-21-2021A

description: Testing
DOI: 10.21227/2qtk-0b26
title: Testing Open Access

description: Just testing