cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5285/c0152486-cdae-4744-e053-6c86abc050c2
title: JR20140922 (AMT24, JR303) CTD profiles (pressure, temperature, salinity, potential temperature, density, fluorescence, transmissance, downwelling PAR, dissolved oxygen concentration) calibrated and binned to 1 dbar.

description: This dataset consists of 70 CTD profiles (pressure, temperature, salinity, potential temperature, density, fluorescence, transmissance, downwelling PAR, dissolved oxygen concentration) collected during the Atlantic Meridional Transect programme cruise AMT24 (JR20140922, JR303). The cruise period was between the 22nd September and 1st November 2014, and CTD data were collected between the 25th September and 1st November 2014. The cruise track between Immingham, United Kingdom and the Stanley, Falkland Islands (Malvinas) passed through both North and South Atlantic gyres. This dataset contributes to the AMT time-series of core oceanographic measurements along a north-south transect of the Atlantic Ocean. The profile down casts have been processed, quality controlled, calibrated for salinity, oxygen and fluorescence, then binned to 1 dbar.
DOI: 10.5281/zenodo.5027440
title: Rohstoffdatenbank Landwirtschaftlicher Reststoffe für Bayern und Baden-Württemberg

description: Ergebnis des reGIOcycle Projekts, Arbeitspaket B.2.1 "Ermittlung regionaler Potenziale nachwachsender Rohstoffe"
DOI: 10.5281/zenodo.5027439
title: Rohstoffdatenbank Landwirtschaftlicher Reststoffe für Bayern und Baden-Württemberg

description: Ergebnis des reGIOcycle Projekts, Arbeitspaket B.2.1 "Ermittlung regionaler Potenziale nachwachsender Rohstoffe"
DOI: 10.6084/m9.figshare.15052458
title: Intelligent Recognition of Ore-Forming Anomalies based on Multi-source Data Fusion: A Case Study of the Daqiao Mining Area, Gansu Province

description: Data for "Intelligent Recognition of Ore-Forming Anomalies based on Multi-source Data Fusion: A Case Study of the Daqiao Mining Area, Gansu Province"
DOI: 10.6084/m9.figshare.15052458.v1
title: Intelligent Recognition of Ore-Forming Anomalies based on Multi-source Data Fusion: A Case Study of the Daqiao Mining Area, Gansu Province

description: Data for "Intelligent Recognition of Ore-Forming Anomalies based on Multi-source Data Fusion: A Case Study of the Daqiao Mining Area, Gansu Province"
DOI: 10.5445/ir/1000135718
title: Electrochemical study on Nickel Aluminum Layered Double hydroxides as high-performance electrode material for lithium-ion batteries based on sodium alginate binder

description: Nickel aluminum layered double hydroxide (NiAl LDH) with nitrate in its interlayer is investigated as a negative electrode material for lithium-ion batteries (LIBs). The effect of the potential range (i.e., 0.01 – 3.0 V and 0.4 – 3.0 V vs. Li+/Li) and of the binder on the performance of the material is investigated in 1 M LiPF6 in EC/DMC vs. Li. The NiAl LDH electrode based on sodium alginate (SA) binder shows a high initial discharge specific capacity of 2586 mAh g-1 at 0.05 A g-1 and good stability in the potential range of 0.01-3.0 V vs. Li+/Li, which is better than what obtained with a polyvinylidene difluoride (PVDF)-based electrode. The NiAl LDH electrode with SA binder shows, after 400 cycles at 0.5 A g-1, a cycling retention of 42.2 % with a capacity of 697 mAh g-1 and at a high current density of 1.0 A g-1 shows a retention of 27.6 % with a capacity of 388 mAh g-1 over 1400 cycles. In the same conditions, the PVDF-based electrode retains only 15.6 % with a capacity of 182 mAh g-1 and 8.5 % with a capacity of 121 mAh g-1, respectively. Ex situ X-ray photoelectron spectroscopy (XPS) and ex situ X-ray absorption spectroscopy (XAS) reveal a conversion reaction mechanism during Li+ insertion into the NiAl LDH material. X-ray diffraction (XRD) and XPS have been combined with the electrochemical study to understand the effect of different cut-off potentials on the Li-ion storage mechanism.
DOI: 10.5281/zenodo.5136633
title: CESM2(WACCM6) Earth system prediction framework forecast output for "Delayed surface impacts of the January 2021 sudden stratospheric warming"

description: Included in this repository is CESM2(WACCM6) Earth system prediction framework forecast output necessary to replicate the results of "Delayed surface impacts of the January 2021 sudden stratospheric warming". Standard forecast output is formatted as "ssfcst_ddMMM", where ddMMM is either 04jan or 08feb. Forecasts initialized January 4th, 2021 with scrambled initial conditions are formatted as: "15to20kmRampBot_", for scrambled tropospheric initial conditions; "9to12kmRamp_" for scrambled stratospheric initial conditions; and "2017noSSW_" for scrambled atmospheric initial conditions started from a January 2017 atmospheric restart. The forecast initialized February 8th, 2021 with scrambled tropospheric initial conditions is formatted "15to20kmRampBot_update_". All files contain relevant dimensions. "mXX", where XX is between 0 and 20, denotes the forecast member. Geopotential height is in the "Z3" files, surface temperature is in the "tas" files, and zonal mean zonal wind and tropopause pressure are in the "h2" files.
DOI: 10.3886/e114644v1-92680
title: Replication data for: Trade Costs, CO2, and the Environment

description: This paper quantifies how international trade affects CO2 emissions and analyzes the welfare consequences of regulating the CO2 emissions from shipping. To this end, the paper describes a model of trade and the environment, compiles new data on the CO2 emissions from shipping, and estimates key parameters using panel data regressions. Results show that the benefits of international trade exceed trade's environmental costs due to CO2 emissions by two orders of magnitude. While proposed regional carbon taxes on the CO2 emissions from shipping would increase global welfare and increase the implementing region's GDP, they would also harm poor countries.
DOI: 10.6084/m9.figshare.15052476
title: Insects - Timing is everything. Temporal and spatial niche segregation in Curculio spp. (Coleoptera: Curculionidae) associated with oak trees

description: The general characteristics of acorn selection by Curculio spp. females are shown in Table 1. Generally, females of C. venosus were rarely interested in drilling into the heaviest acorns. Their eggs were found in the smallest fruits, with weight &lt;1 g (median 0.741 g). Females of C. pellitus preferred bigger acorns, usually with weight around 1.5 g (median 1.519 g), sometimes choosing the biggest ones. Curculio glandium females, in turn, drilled in all kinds of acorns, but laid eggs only into the biggest ones, with mass over 2.5 g (median 2.852 g). Kruskal–Wallis’ test revealed a significant (post-hoc, p&lt;0.05) difference in the selection of acorns in terms of weight by females of the three species. Dunn's post-hoc test showed that the lightest acorns were selected significantly more often by female C. venosus (post-hoc, p&lt;0.05) than by females of the other species. Curculio glandium females selected the acorns of the significantly largest masses (post-hoc, p&lt;0.05).
DOI: 10.6084/m9.figshare.15052476.v1
title: Insects - Timing is everything. Temporal and spatial niche segregation in Curculio spp. (Coleoptera: Curculionidae) associated with oak trees

description: The general characteristics of acorn selection by Curculio spp. females are shown in Table 1. Generally, females of C. venosus were rarely interested in drilling into the heaviest acorns. Their eggs were found in the smallest fruits, with weight &lt;1 g (median 0.741 g). Females of C. pellitus preferred bigger acorns, usually with weight around 1.5 g (median 1.519 g), sometimes choosing the biggest ones. Curculio glandium females, in turn, drilled in all kinds of acorns, but laid eggs only into the biggest ones, with mass over 2.5 g (median 2.852 g). Kruskal–Wallis’ test revealed a significant (post-hoc, p&lt;0.05) difference in the selection of acorns in terms of weight by females of the three species. Dunn's post-hoc test showed that the lightest acorns were selected significantly more often by female C. venosus (post-hoc, p&lt;0.05) than by females of the other species. Curculio glandium females selected the acorns of the significantly largest masses (post-hoc, p&lt;0.05).
DOI: 10.6084/m9.figshare.13251428
title: PONE-D-20-28276R1.sav

description: Datensatz für die Studie PONE-D-20-28276R1
DOI: 10.7484/inspirehep.data.z4ml.3w67.1
title: MadAnalysis 5 implementation of ATLAS-SUSY-2013-05
DOI: 10.34740/kaggle/dsv/2464831
title: 2021 World Population (updated daily)
DOI: 10.5517/ccdc.csd.cc24326k
title: CCDC 1969157: Experimental Crystal Structure Determination

description: Related Article: Qi Pan, Yuanyuan Ping, Yifan Wang, Ya Guo, Wangqing Kong|2021|J.Am.Chem.Soc.|143|10282|doi:10.1021/jacs.1c03827
DOI: 10.5517/ccdc.csd.cc24325j
title: CCDC 1969156: Experimental Crystal Structure Determination

description: Related Article: Qi Pan, Yuanyuan Ping, Yifan Wang, Ya Guo, Wangqing Kong|2021|J.Am.Chem.Soc.|143|10282|doi:10.1021/jacs.1c03827
DOI: 10.6073/pasta/85fe8ffe54ff330c1839a0bc2da9d1e5
title: North Temperate Lakes LTER: Fish Abundance 1981 - current (Reformatted to the ecocomDP Design Pattern)

description: This data package is formatted as an ecocomDP (Ecological Community Data Pattern). For more information on ecocomDP see https://github.com/EDIorg/ecocomDP. This Level 1 data package was derived from the Level 0 data package found here: https://pasta.lternet.edu/package/metadata/eml/knb-lter-ntl/7/39. The abstract below was extracted from the Level 0 data package and is included for context: This data set is a derived data set based on fish catch data. Data are collected annually to enable us to track the fish assemblages of eleven primary lakes (Allequash, Big Muskellunge, Crystal, Sparkling, Trout, bog lakes 27-02 [Crystal Bog] and 12-15 [Trout Bog], Mendota, Monona, Wingra and Fish). Sampling on Lakes Monona, Wingra, and Fish started in 1995; sampling on other lakes started in 1981. Sampling is done at six littoral zone sites per lake with seine, minnow or crayfish traps, and fyke nets; a boat-mounted electrofishing system samples three littoral transects. Vertically hung gill nets are used to obtain two pelagic samples per lake from the deepest point. A trammel net samples across the thermocline at two sites per lake. In the bog lakes only fyke nets and minnow traps are deployed. Parameters measured include species-level identification and lengths for all fish caught, and weight and scale samples from a subset. Derived data sets include species richness, catch per unit effort, and size distribution by species, lake, and year. Dominant species vary from lake to lake. Perch, rockbass, and bluegill are common, with walleye, large and smallmouth bass, northern pike and muskellunge as major piscivores. Cisco have been present in the pelagic waters of four lakes, and the exotic species, rainbow smelt, is present in two. The bog lakes contain mudminnows. Protocol used to generate data: Day seines were only used in 1981 and have been eliminated from this data set to make sampling effort across years comparable. Number caught for each species is summed over repetitions of a gear within a lake and over depth. The absence of a species in a given lake/year indicates none were caught and the catch per unit effort is zero. For information on fish stocking by Wisconsin Department of Natural Resouces in LTER lakes in Dane and Vilas counties, see http://infotrek.er.usgs.gov/doc/wdnr_biology/Public_Stocking/StateMapHotspotsAllYears.htm. The only sampling done in 2020 were a single gill-netting replicate in Sparkling, Crystal, and Trout lakes. Sampling Frequency: annually. Number of sites: 11.
DOI: 10.5517/ccdc.csd.cc269cgc
title: CCDC 2034792: Experimental Crystal Structure Determination

description: Related Article: Mira T. Rupp, Thomas Auvray, Garry S. Hanan, Dirk G. Kurth|2021|Eur.J.Inorg.Chem.|2021|2822|doi:10.1002/ejic.202100092
DOI: 10.5517/ccdc.csd.cc269ckg
title: CCDC 2034795: Experimental Crystal Structure Determination

description: Related Article: Mira T. Rupp, Thomas Auvray, Garry S. Hanan, Dirk G. Kurth|2021|Eur.J.Inorg.Chem.|2021|2822|doi:10.1002/ejic.202100092
DOI: 10.5517/ccdc.csd.cc26wkm9
title: CCDC 2052281: Experimental Crystal Structure Determination

description: Related Article: Fatemeh Niroomand Hosseini, S. Masoud Nabavizadeh, Rahim Shoara, Marzieh Dadkhah Aseman, Mahdi M. Abu-Omar|2021|Organometallics|40|2051|doi:10.1021/acs.organomet.1c00209
DOI: 10.5517/ccdc.csd.cc26wknb
title: CCDC 2052282: Experimental Crystal Structure Determination

description: Related Article: Fatemeh Niroomand Hosseini, S. Masoud Nabavizadeh, Rahim Shoara, Marzieh Dadkhah Aseman, Mahdi M. Abu-Omar|2021|Organometallics|40|2051|doi:10.1021/acs.organomet.1c00209
DOI: 10.6073/pasta/7e4695fed9543a7b7301aa4f3b3b794e
title: North Temperate Lakes LTER: Fish Abundance 1981 - current (Reformatted to a Darwin Core Archive)

description: This data package is formatted as a Darwin Core Archive (DwC-A, event core). For more information on Darwin Core see https://www.tdwg.org/standards/dwc/. This Level 2 data package was derived from the Level 1 data package found here: https://pasta.lternet.edu/package/metadata/eml/edi/303/2, which was derived from the Level 0 data package found here: https://pasta.lternet.edu/package/metadata/eml/knb-lter-ntl/7/39. The abstract below was extracted from the Level 0 data package and is included for context: This data set is a derived data set based on fish catch data. Data are collected annually to enable us to track the fish assemblages of eleven primary lakes (Allequash, Big Muskellunge, Crystal, Sparkling, Trout, bog lakes 27-02 [Crystal Bog] and 12-15 [Trout Bog], Mendota, Monona, Wingra and Fish). Sampling on Lakes Monona, Wingra, and Fish started in 1995; sampling on other lakes started in 1981. Sampling is done at six littoral zone sites per lake with seine, minnow or crayfish traps, and fyke nets; a boat-mounted electrofishing system samples three littoral transects. Vertically hung gill nets are used to obtain two pelagic samples per lake from the deepest point. A trammel net samples across the thermocline at two sites per lake. In the bog lakes only fyke nets and minnow traps are deployed. Parameters measured include species-level identification and lengths for all fish caught, and weight and scale samples from a subset. Derived data sets include species richness, catch per unit effort, and size distribution by species, lake, and year. Dominant species vary from lake to lake. Perch, rockbass, and bluegill are common, with walleye, large and smallmouth bass, northern pike and muskellunge as major piscivores. Cisco have been present in the pelagic waters of four lakes, and the exotic species, rainbow smelt, is present in two. The bog lakes contain mudminnows. Protocol used to generate data: Day seines were only used in 1981 and have been eliminated from this data set to make sampling effort across years comparable. Number caught for each species is summed over repetitions of a gear within a lake and over depth. The absence of a species in a given lake/year indicates none were caught and the catch per unit effort is zero. For information on fish stocking by Wisconsin Department of Natural Resouces in LTER lakes in Dane and Vilas counties, see http://infotrek.er.usgs.gov/doc/wdnr_biology/Public_Stocking/StateMapHotspotsAllYears.htm. The only sampling done in 2020 were a single gill-netting replicate in Sparkling, Crystal, and Trout lakes. Sampling Frequency: annually. Number of sites: 11.
DOI: 10.34740/kaggle/dsv/2464863
title: YouTube Trending Video Dataset (updated daily)
DOI: 10.5281/zenodo.5094741
title: Magnetic Proxy for Solar Activity

description: Proxies for solar activity are often used to extend solar irradiance measurements in time or forecast future variability. We calculate images of the solar photospheric magnetic field from a flux transport simulation and create a multicomponent proxy for solar activity.
DOI: 10.5281/zenodo.4882882
title: Magnetic Proxy for Solar Activity

description: Proxies for solar activity are often used to extend solar irradiance measurements in time or forecast future variability. We calculate images of the solar photospheric magnetic field from a flux transport simulation and create a multicomponent proxy for solar activity.
DOI: 10.15468/fg8kuj
title: Priocharax nanus, a new miniature characid from the rio Negro, Amazon basin (Ostariophysi: Characiformes), with an updated list of miniature Neotropical freshwater fishes

description: This dataset contains the digitized treatments in Plazi based on the original journal article Toledo-Piza, Mônica, Mattox, George M. T., Britz, Ralf (2014): Priocharax nanus, a new miniature characid from the rio Negro, Amazon basin (Ostariophysi: Characiformes), with an updated list of miniature Neotropical freshwater fishes. Neotropical Ichthyology 12 (2): 229-246, DOI: 10.1590/1982-0224-20130171, URL: http://dx.doi.org/10.1590/1982-0224-20130171
DOI: 10.5281/zenodo.5137547
title: Power production from the U.S. east coast offshore wind lease areas

description: The accompanying file include information regarding the set up of WRF simulations of power production and wake extents from offshore wind lease areas along the U.S. east coast, and also data presented in figures in the "Wind power production from the U.S. east coast offshore lease areas" paper and the associated MATLAB data processing code. The US Department of Energy Office of Science (DE-SC0016605), the US Department of Energy Office of Energy Efficiency and Renewable Energy and New York State Energy Research and Development Authority via the National Offshore Wind Research and Development consortium (147505) funded this research. This research was enabled by computational resources supported by the U.S. National Science Foundation via the Extreme Science and Engineering Discovery Environment (XSEDE) (award TG-ATM170024) and ACI-1541215, and those of the National Energy Research Scientific Computing Center, a DOE Office of Science User Facility supported by the Office of Science of the U.S. Department of Energy under Contract No. DE-AC02-05CH11231.
DOI: 10.5281/zenodo.4897848
title: Power production from the U.S. east coast offshore wind lease areas

description: The accompanying file include information regarding the set up of WRF simulations of power production and wake extents from offshore wind lease areas along the U.S. east coast, and also data presented in figures in the "Wind power production from the U.S. east coast offshore lease areas" paper and the associated MATLAB data processing code. The US Department of Energy Office of Science (DE-SC0016605), the US Department of Energy Office of Energy Efficiency and Renewable Energy and New York State Energy Research and Development Authority via the National Offshore Wind Research and Development consortium (147505) funded this research. This research was enabled by computational resources supported by the U.S. National Science Foundation via the Extreme Science and Engineering Discovery Environment (XSEDE) (award TG-ATM170024) and ACI-1541215, and those of the National Energy Research Scientific Computing Center, a DOE Office of Science User Facility supported by the Office of Science of the U.S. Department of Energy under Contract No. DE-AC02-05CH11231.
DOI: 10.5281/zenodo.5137551
title: DNA structural properties of archaeal promoters

description: Supplementary information used in a study regarding the characterization of promoter sequences of archaea.
DOI: 10.5281/zenodo.5137550
title: DNA structural properties of archaeal promoters

description: Supplementary information used in a study regarding the characterization of promoter sequences of archaea.
DOI: 10.5281/zenodo.4703733
title: Improving human collective decision-making through animal and artificial intelligence

description: <strong>Whilst fundamental to human societies, </strong><strong>collective decision-making such as </strong><strong>voting systems can lead to </strong><strong>non-efficient </strong><strong>decisions, as past climate policies demonstrate. Current systems are harshly criticized for the way they consider voters’ needs and knowledge. </strong><strong>Collective decision-making </strong><strong>is central in human societies but also occurs in animal groups mostly when animals need to choose when and where to move. In these societies, animals </strong><strong>balance between </strong><strong>the needs of the group members </strong><strong>and their own needs</strong><strong> and rely on </strong><strong>each individual’s (partial) knowledge. We argue that non-human animals and humans share similar collective decision processes, among which are agenda-setting, deliberation and voting.</strong><strong> Recent works in artificial intelligence have sought to improve decision-making in human groups, sometimes inspired by animals’ decision-making systems. We discuss here how our societies could benefit from recent advances in ethology and artificial intelligence to improve our collective decision-making system.</strong>
DOI: 10.5281/zenodo.4703732
title: Improving human collective decision-making through animal and artificial intelligence

description: <strong>Whilst fundamental to human societies, </strong><strong>collective decision-making such as </strong><strong>voting systems can lead to </strong><strong>non-efficient </strong><strong>decisions, as past climate policies demonstrate. Current systems are harshly criticized for the way they consider voters’ needs and knowledge. </strong><strong>Collective decision-making </strong><strong>is central in human societies but also occurs in animal groups mostly when animals need to choose when and where to move. In these societies, animals </strong><strong>balance between </strong><strong>the needs of the group members </strong><strong>and their own needs</strong><strong> and rely on </strong><strong>each individual’s (partial) knowledge. We argue that non-human animals and humans share similar collective decision processes, among which are agenda-setting, deliberation and voting.</strong><strong> Recent works in artificial intelligence have sought to improve decision-making in human groups, sometimes inspired by animals’ decision-making systems. We discuss here how our societies could benefit from recent advances in ethology and artificial intelligence to improve our collective decision-making system.</strong>
DOI: 10.15468/72qbg7
title: Revision of the taxonomy of Polycirrus Grube, 1850 (Annelida: Terebellida: Polycirridae)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Glasby, Christopher J., Hutchings, Pat (2014): Revision of the taxonomy of Polycirrus Grube, 1850 (Annelida: Terebellida: Polycirridae). Zootaxa 3877 (1): 1-117, DOI: http://dx.doi.org/10.11646/zootaxa.3877.1.1
DOI: 10.15468/2qtm9n
title: Taxonomic study of Hoplias microlepis (Günther, 1864), a trans-Andean species of trahiras (Ostariophysi: Characiformes: Erythrinidae)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Mattox, George M. T., Bifi, Alessandro G., Oyakawa, Osvaldo T. (2014): Taxonomic study of Hoplias microlepis (Günther, 1864), a trans-Andean species of trahiras (Ostariophysi: Characiformes: Erythrinidae). Neotropical Ichthyology 12 (2): 343-352, DOI: 10.1590/1982-0224-20130174, URL: http://dx.doi.org/10.1590/1982-0224-20130174