cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc26kcbh
title: CCDC 2042476: Experimental Crystal Structure Determination

description: Related Article: Wei Zhou, Paul Neumann, Mona Al Batal, Frank Rominger, A. Stephen K. Hashmi, Thomas Schaub|2020|ChemSusChem|14|4176|doi:10.1002/cssc.202002465
DOI: 10.5517/ccdc.csd.cc278lw0
title: CCDC 2063852: Experimental Crystal Structure Determination

description: Related Article: Wantian Yang, Xinglin Xiao, Huanfeng He, Guoliang Tong, Jiarui Hu, Xingfu Xiao, Junnian Chen, Mingkai Li, Yunbin He|2021|Cryst.Growth Des.|21|5731|doi:10.1021/acs.cgd.1c00566
DOI: 10.5517/ccdc.csd.cc278m16
title: CCDC 2063857: Experimental Crystal Structure Determination

description: Related Article: Wantian Yang, Xinglin Xiao, Huanfeng He, Guoliang Tong, Jiarui Hu, Xingfu Xiao, Junnian Chen, Mingkai Li, Yunbin He|2021|Cryst.Growth Des.|21|5731|doi:10.1021/acs.cgd.1c00566
DOI: 10.5517/ccdc.csd.cc27vgxh
title: CCDC 2081027: Experimental Crystal Structure Determination

description: Related Article: Lucía Álvarez‐Miguel, Jesús Damián Burgoa, Marta E. G. Mosquera, Alex Hamilton, Christopher J. Whiteoak|2021|ChemCatChem|13|4099|doi:10.1002/cctc.202100910
DOI: 10.5517/ccdc.csd.cc27w69n
title: CCDC 2081721: Experimental Crystal Structure Determination

description: Related Article: Lucía Álvarez‐Miguel, Jesús Damián Burgoa, Marta E. G. Mosquera, Alex Hamilton, Christopher J. Whiteoak|2021|ChemCatChem|13|4099|doi:10.1002/cctc.202100910
DOI: 10.5517/ccdc.csd.cc2893wl
title: CCDC 2094139: Experimental Crystal Structure Determination

description: Related Article: Elizabeth N. Cooper, Boris Averkiev, Victor W. Day, Peter E. Sues|2021|Organometallics|40|3185|doi:10.1021/acs.organomet.1c00400
DOI: 10.5517/ccdc.csd.cc2893xm
title: CCDC 2094140: Experimental Crystal Structure Determination

description: Related Article: Elizabeth N. Cooper, Boris Averkiev, Victor W. Day, Peter E. Sues|2021|Organometallics|40|3185|doi:10.1021/acs.organomet.1c00400
DOI: 10.5517/ccdc.csd.cc2893yn
title: CCDC 2094141: Experimental Crystal Structure Determination

description: Related Article: Elizabeth N. Cooper, Boris Averkiev, Victor W. Day, Peter E. Sues|2021|Organometallics|40|3185|doi:10.1021/acs.organomet.1c00400
DOI: 10.5517/ccdc.csd.cc2893zp
title: CCDC 2094142: Experimental Crystal Structure Determination

description: Related Article: Elizabeth N. Cooper, Boris Averkiev, Victor W. Day, Peter E. Sues|2021|Organometallics|40|3185|doi:10.1021/acs.organomet.1c00400
DOI: 10.5517/ccdc.csd.cc28940r
title: CCDC 2094143: Experimental Crystal Structure Determination

description: Related Article: Elizabeth N. Cooper, Boris Averkiev, Victor W. Day, Peter E. Sues|2021|Organometallics|40|3185|doi:10.1021/acs.organomet.1c00400
DOI: 10.5517/ccdc.csd.cc28941s
title: CCDC 2094144: Experimental Crystal Structure Determination

description: Related Article: Elizabeth N. Cooper, Boris Averkiev, Victor W. Day, Peter E. Sues|2021|Organometallics|40|3185|doi:10.1021/acs.organomet.1c00400
DOI: 10.5517/ccdc.csd.cc28942t
title: CCDC 2094145: Experimental Crystal Structure Determination

description: Related Article: Elizabeth N. Cooper, Boris Averkiev, Victor W. Day, Peter E. Sues|2021|Organometallics|40|3185|doi:10.1021/acs.organomet.1c00400
DOI: 10.5517/ccdc.csd.cc28943v
title: CCDC 2094146: Experimental Crystal Structure Determination

description: Related Article: Elizabeth N. Cooper, Boris Averkiev, Victor W. Day, Peter E. Sues|2021|Organometallics|40|3185|doi:10.1021/acs.organomet.1c00400
DOI: 10.5517/ccdc.csd.cc28rrph
title: CCDC 2108207: Experimental Crystal Structure Determination

description: Related Article: N. Mahesha, H.S. Yathirajan, H.A. Nagma Banu, B. Kalluraya, R.S. Rathore, C. Glidewell|2021|Acta Crystallogr.,Sect.E:Cryst.Commun.|77|975|doi:10.1107/S2056989021009312
DOI: 10.5517/ccdc.csd.cc28rrqj
title: CCDC 2108208: Experimental Crystal Structure Determination

description: Related Article: N. Mahesha, H.S. Yathirajan, H.A. Nagma Banu, B. Kalluraya, R.S. Rathore, C. Glidewell|2021|Acta Crystallogr.,Sect.E:Cryst.Commun.|77|975|doi:10.1107/S2056989021009312
DOI: 10.5517/ccdc.csd.cc28rrrk
title: CCDC 2108209: Experimental Crystal Structure Determination

description: Related Article: N. Mahesha, H.S. Yathirajan, H.A. Nagma Banu, B. Kalluraya, R.S. Rathore, C. Glidewell|2021|Acta Crystallogr.,Sect.E:Cryst.Commun.|77|975|doi:10.1107/S2056989021009312
DOI: 10.5281/zenodo.5559723
title: 2019 SCOPE Gradients, Water Column Data

description: This dataset is from the Gradients 3 cruise (KM1906) conducted April 10- April 29, 2019 in the North Pacific Ocean. CTD/rosette profiles were taken down to 1000 meters and samples were collected from niskin bottles attached to the CTD and used to generate concentrations of oxygen, inorganic nutrients, and pigment concentrations. Temperature and salinity were derived from CTD sensors. Details on methods used are available at https://hahana.soest.hawaii.edu/hot/methods/chl.html. The Gradients 3 cruise is a component of the SCOPE-Gradients program (http://scope.soest.hawaii.edu/data/gradients/gradients.html) and was designed to test conceptual and mathematical models of biogeochemical organization across transition zones between different ecosystems.
DOI: 10.5281/zenodo.5559722
title: 2019 SCOPE Gradients, Water Column Data

description: This dataset is from the Gradients 3 cruise (KM1906) conducted April 10- April 29, 2019 in the North Pacific Ocean. CTD/rosette profiles were taken down to 1000 meters and samples were collected from niskin bottles attached to the CTD and used to generate concentrations of oxygen, inorganic nutrients, and pigment concentrations. Temperature and salinity were derived from CTD sensors. Details on methods used are available at https://hahana.soest.hawaii.edu/hot/methods/chl.html. The Gradients 3 cruise is a component of the SCOPE-Gradients program (http://scope.soest.hawaii.edu/data/gradients/gradients.html) and was designed to test conceptual and mathematical models of biogeochemical organization across transition zones between different ecosystems.
DOI: 10.5281/zenodo.5559734
title: 2017 Microbial Ecology of the Surface Ocean - SCOPE, Downcast CTD Data

description: This dataset consists of measurements taken at various depths in the water column from CTD sensors attached to a CTD rosette on the MESO-SCOPE cruise in 2017. Mesoscale eddies affect the variability of ocean ecosystems through different dynamics, but an exhaustive description of their influence on the plankton community is still missing, partly due to the complex physical-biological interaction taking place inside the eddies. One of the most well known effects of mesoscale eddies is the vertical displacement of water in their interior due to the geostrophic balance with the eddy circular motion. Since eddies of different polarity displace water in opposite directions, their impact on pelagic ecosystems is postulated to be very different. Based on this information, one of the objectives of the MESO-SCOPE expedition was to study a mesoscale dipole, i.e. a system composed of adjacent cyclonic and anticyclonic eddies. The MESO-SCOPE (Microbial Ecology of the Surface Ocean - Simons Collaboration on Ocean Processes and Ecology) expedition collected oceanographic observations in the region north of the Hawaiian Islands with the aim of identifying the impact of mesoscale eddies on the ecosystem of the North Pacific Subtropical Gyre. The expedition was funded by the Simons Collaboration on Ocean Processes and Ecology (SCOPE) and hosted on the research vessel Kilo Moana between June 26 and July 15 2017, leaving from and returning to the port of Honolulu. Scientists from eight countries, representing eleven SCOPE laboratories, participated in the MESO-SCOPE expedition and contributed their expertise in research areas as ocean biogeochemistry, molecular biology, bio-optics, plankton taxonomy, microbiology, and ecology.
DOI: 10.5281/zenodo.5559733
title: 2017 Microbial Ecology of the Surface Ocean - SCOPE, Downcast CTD Data

description: This dataset consists of measurements taken at various depths in the water column from CTD sensors attached to a CTD rosette on the MESO-SCOPE cruise in 2017. Mesoscale eddies affect the variability of ocean ecosystems through different dynamics, but an exhaustive description of their influence on the plankton community is still missing, partly due to the complex physical-biological interaction taking place inside the eddies. One of the most well known effects of mesoscale eddies is the vertical displacement of water in their interior due to the geostrophic balance with the eddy circular motion. Since eddies of different polarity displace water in opposite directions, their impact on pelagic ecosystems is postulated to be very different. Based on this information, one of the objectives of the MESO-SCOPE expedition was to study a mesoscale dipole, i.e. a system composed of adjacent cyclonic and anticyclonic eddies. The MESO-SCOPE (Microbial Ecology of the Surface Ocean - Simons Collaboration on Ocean Processes and Ecology) expedition collected oceanographic observations in the region north of the Hawaiian Islands with the aim of identifying the impact of mesoscale eddies on the ecosystem of the North Pacific Subtropical Gyre. The expedition was funded by the Simons Collaboration on Ocean Processes and Ecology (SCOPE) and hosted on the research vessel Kilo Moana between June 26 and July 15 2017, leaving from and returning to the port of Honolulu. Scientists from eight countries, representing eleven SCOPE laboratories, participated in the MESO-SCOPE expedition and contributed their expertise in research areas as ocean biogeochemistry, molecular biology, bio-optics, plankton taxonomy, microbiology, and ecology.
DOI: 10.5281/zenodo.5559652
title: Global hybrid forest mask for the year 2000

description: A number of global and regional maps of forest extent are available, but when compared spatially, there are large areas of disagreement. Moreover, there was no global forest map that is consistent with forest statistics from FAO (Food and Agriculture Organization of the United Nations). By combining these diverse data sources into a single forest cover product, it is possible to produce a global forest map that is more accurate than the individual input layers and to produce a map that is consistent with FAO statistics. In this paper we applied geographically weighted regression (GWR) to integrate eight different forest products into three global hybrid forest cover maps at a 1 km resolution for the reference year 2000. Input products included global land cover and forest maps at varying resolutions from 30 m to 1 km, mosaics of regional land use/land cover products where available, and the MODIS Vegetation Continuous Fields product. The GWR was trained using crowdsourced data collected via the Geo-Wiki platform and the hybrid maps were then validated using an independent dataset collected via the same system. Three different hybrid maps were produced: two consistent with FAO statistics, one at the country and one at the regional level, and a “best guess” forest cover map that is independent of FAO. Independent validation showed that the “best guess” hybrid product had the best overall accuracy of 93% when compared with the individual input datasets. The global hybrid forest cover maps are available at http://biomass.geo-wiki.org. More details can be found in the paper: Schepaschenko D., See L., Lesiv M., McCallum I., Fritz S., et al. (2015). Development of a global hybrid forest mask through the synergy of remote sensing, crowdsourcing and FAO statistics. <em>Remote Sensing of Environment </em>162 208-220. https://doi.org/10.1016/j.rse.2015.02.011. The data set consists of following files: 1. for2000_bg.zip - Global forest mask "best guess" - percentage forest cover at a 1 km spatial resolution for the year 2000;<br> 2. for2000_ca_cou.zip - Global forest mask calibrated to the FAO FRA statistics at national scale;<br> 3. for2000_ca_reg.zip - Global forest mask calibrated to the FAO FRA statistics at continental scale;<br> 4. training_pc.csv - training data, which contains visual interpretation of very high resolution imagery at 20159 locations;<br> 5. validation.csv - validation data, which contains visual interpretation of very high resolution imagery at 1816 locations.
DOI: 10.5281/zenodo.5559651
title: Global hybrid forest mask for the year 2000

description: A number of global and regional maps of forest extent are available, but when compared spatially, there are large areas of disagreement. Moreover, there was no global forest map that is consistent with forest statistics from FAO (Food and Agriculture Organization of the United Nations). By combining these diverse data sources into a single forest cover product, it is possible to produce a global forest map that is more accurate than the individual input layers and to produce a map that is consistent with FAO statistics. In this paper we applied geographically weighted regression (GWR) to integrate eight different forest products into three global hybrid forest cover maps at a 1 km resolution for the reference year 2000. Input products included global land cover and forest maps at varying resolutions from 30 m to 1 km, mosaics of regional land use/land cover products where available, and the MODIS Vegetation Continuous Fields product. The GWR was trained using crowdsourced data collected via the Geo-Wiki platform and the hybrid maps were then validated using an independent dataset collected via the same system. Three different hybrid maps were produced: two consistent with FAO statistics, one at the country and one at the regional level, and a “best guess” forest cover map that is independent of FAO. Independent validation showed that the “best guess” hybrid product had the best overall accuracy of 93% when compared with the individual input datasets. The global hybrid forest cover maps are available at http://biomass.geo-wiki.org. More details can be found in the paper: Schepaschenko D., See L., Lesiv M., McCallum I., Fritz S., et al. (2015). Development of a global hybrid forest mask through the synergy of remote sensing, crowdsourcing and FAO statistics. <em>Remote Sensing of Environment </em>162 208-220. https://doi.org/10.1016/j.rse.2015.02.011. The data set consists of following files: 1. for2000_bg.zip - Global forest mask "best guess" - percentage forest cover at a 1 km spatial resolution for the year 2000;<br> 2. for2000_ca_cou.zip - Global forest mask calibrated to the FAO FRA statistics at national scale;<br> 3. for2000_ca_reg.zip - Global forest mask calibrated to the FAO FRA statistics at continental scale;<br> 4. training_pc.csv - training data, which contains visual interpretation of very high resolution imagery at 20159 locations;<br> 5. validation.csv - validation data, which contains visual interpretation of very high resolution imagery at 1816 locations.
DOI: 10.5063/f16h4ft4
title: The effect of shrubs on animals (Panoche 2019)

description: The following data was collected in Panoche hills in Southern California during the summer of 2019. 7 cameras were deployed facing shrub and open microsites and were rotated once. The cameras remained deployed for a total of 14 days.
DOI: 10.5281/zenodo.5559784
title: Lobelia

description: <em>Lobelia</em>
DOI: 10.5281/zenodo.5559783
title: Lobelia

description: <em>Lobelia</em>
DOI: 10.5519/qd.s8afkqs3
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (4921091 records)
DOI: 10.5063/f12r3q3t
title: The effect of shrub density on animal abundance (Carrizo Plain National Monument)

description: The following data was collected in the Carrizo Plain National Monument in Southern California during the summer of 2017. 10 cameras were deployed facing shrub and open microsites and were rotated twice. The cameras remained deployed for a total of 24 days
DOI: 10.6084/m9.figshare.16125318
title: Update of evolutionary analyses of the oxytocin/vasotocin receptor family

description: Sequence-based phylogenetic analyses and chromosome analyses of vertebrate oxytocin receptor (OTR) and vasotocin receptor (VTR, including vasopressin receptor VPR) genes, using genes and amino acid sequences predicted from 86 vertebrate genomes, including 4 mammalian species, 10 avian species, 12 reptilian species, 6 amphibian species, 1 coelacanth, 4 basal ray-finned fish species, 2 holostean fish species, 36 teleost fish species, 8 cartilaginous fish species, 3 cyclostome species. <br>These analyses are based on two previously published studies identifying OTR and VTR sequences in vertebrate genomes, including previously unrecognised subtypes of V2 receptors (links below).<br><br>Species and genome assembly information, database identifiers, location data and annotation notes for all identified sequences are included in the Excel workbook 'OTR VTR Master Workbook.xlsx'. This workbook also includes updated chromosome location data from the neighboring gene families ATP2B, CACNA1-L, CAMK1, L1CAM, PLXNA, SRGAP and SYP, as well as chromosome location data for 3R-generated gene pairs in the Asian arowana.<br><br>All identified and curated amino acid sequences are included in rich text format, with the exon boundaries indicated, in the file 'OTR VTR Master Sequence Document.rtf', as well as in FASTA format in the file 'OTR VTR Master Sequence Document.fasta'. <br>Species abbreviations are detailed in the file 'Species_abbreviations.txt'.<br>Curated amino acid sequence alignments are included in FASTA format in the files '2021_OTR_VTR_align_full.fasta' and '2021_OTR_VTR_align_small.fasta'. This file format can be opened by most sequence analysis applications as well as text editors. Alignments were created using the MUSCLE algorithm in Aliview version 1.6 (https://ormbunkar.se/aliview/) and curated manually. The 'full' alignment includes all 86 vertebrate species as well as the <i>VPR </i>sequence from the vase tunicate (outgroup) and the <i>OPR, CTR1 </i>and <i>CTR2 </i>sequences from the common octopus (root). The 'small' alignment includes a representative selection of 52 vertebrate species as well as the outgroup and root. <br>Maximum likelihood phylogenetic trees were created from the 'full' and 'small' sequence alignments using IQ-TREE version 1.6.12 (http://www.iqtree.org/) applying the -m TEST and --opt-gamma-inv options. Trees are supported by IQ-TREE’s non-parametric UltraFast Bootstrap (UFBoot) method with 100 iterations. Phylogenetic tree files are included in Phylip/Newick format with the extension '.phb'. This file format can be opened by freely available phylogenetic tree viewers such as FigTree (http://tree.bio.ed.ac.uk/software/figtree/), or visualized online through services such as http://etetoolkit.org/treeview/ or https://itol.embl.de. Both rooted and unrooted tree files have been included. All IQ-TREE output files are included in the '.zip' archive files.<br>
DOI: 10.6084/m9.figshare.16125318.v1
title: Update of evolutionary analyses of the oxytocin/vasotocin receptor family

description: Sequence-based phylogenetic analyses and chromosome analyses of vertebrate oxytocin receptor (OTR) and vasotocin receptor (VTR, including vasopressin receptor VPR) genes, using genes and amino acid sequences predicted from 86 vertebrate genomes, including 4 mammalian species, 10 avian species, 12 reptilian species, 6 amphibian species, 1 coelacanth, 4 basal ray-finned fish species, 2 holostean fish species, 36 teleost fish species, 8 cartilaginous fish species, 3 cyclostome species. <br>These analyses are based on two previously published studies identifying OTR and VTR sequences in vertebrate genomes, including previously unrecognised subtypes of V2 receptors (links below).<br><br>Species and genome assembly information, database identifiers, location data and annotation notes for all identified sequences are included in the Excel workbook 'OTR VTR Master Workbook.xlsx'. This workbook also includes updated chromosome location data from the neighboring gene families ATP2B, CACNA1-L, CAMK1, L1CAM, PLXNA, SRGAP and SYP, as well as chromosome location data for 3R-generated gene pairs in the Asian arowana.<br><br>All identified and curated amino acid sequences are included in rich text format, with the exon boundaries indicated, in the file 'OTR VTR Master Sequence Document.rtf', as well as in FASTA format in the file 'OTR VTR Master Sequence Document.fasta'. <br>Species abbreviations are detailed in the file 'Species_abbreviations.txt'.<br>Curated amino acid sequence alignments are included in FASTA format in the files '2021_OTR_VTR_align_full.fasta' and '2021_OTR_VTR_align_small.fasta'. This file format can be opened by most sequence analysis applications as well as text editors. Alignments were created using the MUSCLE algorithm in Aliview version 1.6 (https://ormbunkar.se/aliview/) and curated manually. The 'full' alignment includes all 86 vertebrate species as well as the <i>VPR </i>sequence from the vase tunicate (outgroup) and the <i>OPR, CTR1 </i>and <i>CTR2 </i>sequences from the common octopus (root). The 'small' alignment includes a representative selection of 52 vertebrate species as well as the outgroup and root. <br>Maximum likelihood phylogenetic trees were created from the 'full' and 'small' sequence alignments using IQ-TREE version 1.6.12 (http://www.iqtree.org/) applying the -m TEST and --opt-gamma-inv options. Trees are supported by IQ-TREE’s non-parametric UltraFast Bootstrap (UFBoot) method with 100 iterations. Phylogenetic tree files are included in Phylip/Newick format with the extension '.phb'. This file format can be opened by freely available phylogenetic tree viewers such as FigTree (http://tree.bio.ed.ac.uk/software/figtree/), or visualized online through services such as http://etetoolkit.org/treeview/ or https://itol.embl.de. Both rooted and unrooted tree files have been included. All IQ-TREE output files are included in the '.zip' archive files.<br>
DOI: 10.15468/9hxz4q
title: Three new species of the fossil Cantacaderinae genus Paleocader Froeschner, 1996 from the Baltic and Rovno amber (Hemiptera, Heteroptera, Tingidae)

description: This dataset contains the digitized treatments in Plazi based on the original journal article HEISS, ERNST, GOLUB, VIKTOR B. (2021): Three new species of the fossil Cantacaderinae genus Paleocader Froeschner, 1996 from the Baltic and Rovno amber (Hemiptera, Heteroptera, Tingidae). Palaeoentomology 4 (4): 360-366, DOI: 10.11646/palaeoentomology.4.4.11, URL: http://dx.doi.org/10.11646/palaeoentomology.4.4.11
DOI: 10.15468/s82bcs
title: Head in the clouds: a new dwarf frog species of the Physalaemus signifer clade (Leptodactylidae, Leiuperinae) from the top of the Brazilian Atlantic Forest

description: This dataset contains the digitized treatments in Plazi based on the original journal article Leal, Fernando, Zornosa-Torres, Camila, Augusto-Alves, Guilherme, Dena, Simone, Pezzuti, Tiago Leite, Leite, Felipe, Lourenço, Luciana Bolsoni, Garcia, Paulo, Toledo, Luís Felipe (2021): Head in the clouds: a new dwarf frog species of the Physalaemus signifer clade (Leptodactylidae, Leiuperinae) from the top of the Brazilian Atlantic Forest. European Journal of Taxonomy 764 (1): 119-151, DOI: https://doi.org/10.5852/ejt.2021.764.1475, URL: http://dx.doi.org/10.5852/ejt.2021.764.1475
DOI: 10.15468/ewvmv9
title: Records of chimaeroid fishes (Holocephali: Chimaeriformes) from the Pacific coast of Costa Rica, with the description of a new species of Chimera (Chimaeridae) from the eastern Pacific Ocean

description: This dataset contains the digitized treatments in Plazi based on the original journal article Angulo, Arturo, López, Myrna I., Bussing, William A., Murase, Atsunobu (2014): Records of chimaeroid fishes (Holocephali: Chimaeriformes) from the Pacific coast of Costa Rica, with the description of a new species of Chimera (Chimaeridae) from the eastern Pacific Ocean. Zootaxa 3861 (6): 554-574, DOI: http://dx.doi.org/10.11646/zootaxa.3861.6.3