cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.12091944.v1
title: Geochemistry and petrogenesis of Raviz-Shanabad intrusions (SE UDMB): an evidence for Late Eocene magmatism

description: The SE segment of the Urumieh-Dokhtar Magmatic Belt (UDMB), known as Dehaj-Sarduieh Magmatic Belt, includes a huge pile of Palaeogene volcano-sedimentary rocks and Eocene to Miocene mafic to felsic intrusions. In the middle of this belt (in Raviz-Shanabad, W Rafsanjan) mafic-intermediate intrusions (as stocks and/or dikes-sills) are abundant and have intruded into the volcano-sedimentary rocks of Dehaj-Sarduieh. The thickness of dikes range from 0.5 to &gt;5 metres and the minimum diameter of the intrusions is ~10 m. These rocks are highly porphyritic and have gabbroic to dioritic composition. Petrographic data indicate that the main rock-forming minerals include plagioclase (labradorite to anorthite based on the new electron microprobe data), pyroxene (augite), and opaque (magnetite and titanomagnetite) minerals, set in a granular groundmass of the same minerals. New zircon U-Pb data show that the age of these rocks is 34.39 ± 0.31 Ma (Late Eocene). These rocks show calc-alkaline characteristics and their geochemical signatures are compatible with arcs with a derivation from subduction zones. Estimated temperature and pressure from Clinopyroxene of these rocks suggest a temperature in the range of 1050° to 1150°C and a pressure of &gt;2 kbar. These data show the formation depth of these intrusions should be ~18 km. Initial <sup>87</sup>Sr/<sup>86</sup>Sr ratio for these rocks varies from 0.70403 to 0.70409, whereas <sup>143</sup>Nd/<sup>144</sup>Nd isotope ratio changes between 0.5128 and 0.5129, corresponding to εNd(i) values of +3.5 to +6.6. These geochemical and isotopic evidences show that the melts originated by 5% partial melting of amphibole spinel peridotite mantle source. Petrographic observations as well as mineral chemistry and isotopic studies indicate that assimilation-fractional crystallization (AFC) has probably played a dominant role in the evolution of the Raviz-Shanabad intrusions. We suggest these intrusions formed as a part of the Late Eocene high-flux magmatism in SE segment of the UDMB in an active continental margin, which was related to the subduction of Neo-Tethys oceanic lithosphere beneath the Central Iranian microcontinent.
DOI: 10.5281/zenodo.10046125
title: Data and Code Accompanying "Retrieving and Analyzing Taste Colexifications from Lexibank"

description: Data and Code accompanying the study "Retrieving and analyzing taste colexifications from Lexibank" by Olena Shcherbakova and Johann-Mattis List (see https://calc.hypotheses.org/6398).
Information on how to run the code can be found in the study itself.
DOI: 10.25582/data.2021-10.2369552/2140122
title: Data for EMSL Project 51287 from October 2021
DOI: 10.25582/data.2021-10.2370538/2140123
title: Data for EMSL Project 51287 from October 2021
DOI: 10.25582/data.2021-10.2370774/2140124
title: Data for EMSL Project 51287 from October 2021
DOI: 10.25582/data.2021-10.2371289/2140125
title: Data for EMSL Project 51287 from October 2021
DOI: 10.25582/data.2021-10.2370417/2140126
title: Data for EMSL Project 51287 from October 2021
DOI: 10.25582/data.2021-10.2367452/2140127
title: Data for EMSL Project 51287 from October 2021
DOI: 10.25582/data.2021-10.2367762/2140128
title: Data for EMSL Project 51287 from October 2021
DOI: 10.25582/data.2021-10.2369482/2140129
title: Data for EMSL Project 51287 from October 2021
DOI: 10.6084/m9.figshare.11589555
title: Depositional history of the Mesoproterozoic Chhattisgarh Basin, central India: insights from geochemical provenance of siliciclastic sediments

description: The Chhattisgarh Basin is one of the most important Proterozoic basins of peninsular India. Owing to its deposition in the Mesoproterozoic, the largely undeformed and unmetamorphosed sedimentary sequence of this basin is believed to hold vital clues to our understanding of the evolution of the Indian craton subsequent to the disintegration of the supercontinent Columbia. Despite its importance, only limited studies have been carried out to decipher the depositional history of the basin and to correlate various litho-units in it. Here, we present results of quantitative provenance analysis of the sediments in the basin using trace element and Nd isotopic ratios and discuss their implications for the evolution of the basin in the context of regional tectonics. The sediment provenance analysis reveals that the spatially extensive ~2.5 Ga old granitoids of the Bastar craton were the major contributors (45% to 65%) of the total sediment budget into the basin during its initial stage of evolution. As sedimentation progressed the contribution from the Bastar granitoids was restricted to less than 30% of the total budget with the remaining supplied by younger 1.6–1.7 Ga magmatic rocks. The overall provenance of sediments appears to have remained constant throughout the evolutionary history of the basin; however, the relative contributions of various sources did change with time. The latter is highly conspicuous across the stratigraphic boundary between the Singhora and Chandarpur groups, in the lower part of the Chhattisgarh Supergroup. The geochemical data suggest that the basin developed as a result of either rift or sag into which the sea incursion occurred through the adjacent grabens during the Mesoproterozoic marine transgression.
DOI: 10.6084/m9.figshare.11547192
title: The Mencué Batholith: Permian episodic arc-related magmatism in the western North Patagonian Massif, Argentina

description: The Mencué Batholith, western North Patagonian Massif, includes three major bodies. The Mencué Granodiorite, Cura Lauquén Granite and La Blancura Syenogranite. There are dikes of granitic and basaltic rocks cutting the above-cited rocks. The Mencué Batholith represents several episodes of magmatism, with ages varying between 294 and 239 Ma. The Mencué Granodiorite and the Cura Lauquén Granite are solid-state deformed and are S-type. They have high-K and normal calc-alkaline affinities. These rocks contain significant quantities of subduction-zone chemical components that decrease towards younger lithofacies. La Blancura Syenogranite lack subduction zone chemical components and represent A-type granite, typical of within-plate magmatism. The partial melting of metapelites could be the process of formation of these bodies. The older lithofacies of the Mencué Batholith, found westernmost, display a stronger deformation, but there is a progressive eastward change to younger and mildly deformed bodies and even non-deformed bodies. We conclude that the evolution of the Mencué Batholith start in the Sakmarian-Roadian (Early Permian) period. At this time, a subduction zone was active to the west and its thermal influence affected sedimentary or metamorphic rocks producing S-type granites During the Wordian and Capitanian, (Middle Permian) periods, the Mencué Batholith was mildly deformed, possibly in the process of the vanishing of the deformation and has a minor subduction chemical signature. Between the Wuchiapingian and Olenekia periods, the alkaline facies of the Mencué Batholith show an absence of deformation and the characteristics of within-plate magmatism. The Early Permian magmatic events in the western North Patagonian Massif are represented by the older bodies of the Mencué Batholith and were produced by subduction in the western margin of the Gondwanan continent. The Late Permian-Early Triassic magmatic events show a noticeable decreasing influence of subduction and an increasing influence of within-plate chemical components.
DOI: 10.6084/m9.figshare.11589555.v1
title: Depositional history of the Mesoproterozoic Chhattisgarh Basin, central India: insights from geochemical provenance of siliciclastic sediments

description: The Chhattisgarh Basin is one of the most important Proterozoic basins of peninsular India. Owing to its deposition in the Mesoproterozoic, the largely undeformed and unmetamorphosed sedimentary sequence of this basin is believed to hold vital clues to our understanding of the evolution of the Indian craton subsequent to the disintegration of the supercontinent Columbia. Despite its importance, only limited studies have been carried out to decipher the depositional history of the basin and to correlate various litho-units in it. Here, we present results of quantitative provenance analysis of the sediments in the basin using trace element and Nd isotopic ratios and discuss their implications for the evolution of the basin in the context of regional tectonics. The sediment provenance analysis reveals that the spatially extensive ~2.5 Ga old granitoids of the Bastar craton were the major contributors (45% to 65%) of the total sediment budget into the basin during its initial stage of evolution. As sedimentation progressed the contribution from the Bastar granitoids was restricted to less than 30% of the total budget with the remaining supplied by younger 1.6–1.7 Ga magmatic rocks. The overall provenance of sediments appears to have remained constant throughout the evolutionary history of the basin; however, the relative contributions of various sources did change with time. The latter is highly conspicuous across the stratigraphic boundary between the Singhora and Chandarpur groups, in the lower part of the Chhattisgarh Supergroup. The geochemical data suggest that the basin developed as a result of either rift or sag into which the sea incursion occurred through the adjacent grabens during the Mesoproterozoic marine transgression.
DOI: 10.25582/data.2021-10.2370390/2140130
title: Data for EMSL Project 51287 from October 2021
DOI: 10.25582/data.2021-10.2368194/2140131
title: Data for EMSL Project 51287 from October 2021
DOI: 10.25582/data.2021-10.2367836/2140132
title: Data for EMSL Project 51287 from October 2021
DOI: 10.25582/data.2021-10.2370395/2140133
title: Data for EMSL Project 51287 from October 2021
DOI: 10.25582/data.2021-10.2367271/2140134
title: Data for EMSL Project 51287 from October 2021
DOI: 10.25582/data.2021-10.2367437/2140135
title: Data for EMSL Project 51287 from October 2021
DOI: 10.25582/data.2021-10.2369531/2140136
title: Data for EMSL Project 51287 from October 2021
DOI: 10.25582/data.2021-10.2370411/2140137
title: Data for EMSL Project 51287 from October 2021
DOI: 10.25582/data.2021-10.2367287/2140138
title: Data for EMSL Project 51287 from October 2021
DOI: 10.25582/data.2021-10.2367424/2140139
title: Data for EMSL Project 51287 from October 2021
DOI: 10.25582/data.2021-10.2370481/2140140
title: Data for EMSL Project 51287 from October 2021
DOI: 10.25582/data.2021-10.2370547/2140141
title: Data for EMSL Project 51287 from October 2021
DOI: 10.25582/data.2021-10.2368005/2140142
title: Data for EMSL Project 51287 from October 2021
DOI: 10.25582/data.2021-10.2370322/2140143
title: Data for EMSL Project 51287 from October 2021
DOI: 10.25582/data.2021-10.2370517/2140144
title: Data for EMSL Project 51287 from October 2021
DOI: 10.25582/data.2021-10.2367175/2140145
title: Data for EMSL Project 51287 from October 2021
DOI: 10.25582/data.2021-10.2370571/2140146
title: Data for EMSL Project 51287 from October 2021
DOI: 10.25582/data.2021-10.2367028/2140147
title: Data for EMSL Project 51287 from October 2021
DOI: 10.25582/data.2021-10.2370342/2140148
title: Data for EMSL Project 51287 from October 2021
DOI: 10.25582/data.2021-10.2367322/2140149
title: Data for EMSL Project 51287 from October 2021
DOI: 10.25582/data.2021-10.2367447/2140150
title: Data for EMSL Project 51287 from October 2021
DOI: 10.25582/data.2021-10.2369567/2140151
title: Data for EMSL Project 51287 from October 2021
DOI: 10.25582/data.2021-10.2370427/2140152
title: Data for EMSL Project 51287 from October 2021
DOI: 10.25582/data.2021-10.2367183/2140153
title: Data for EMSL Project 51287 from October 2021
DOI: 10.25582/data.2021-10.2367799/2140154
title: Data for EMSL Project 51287 from October 2021
DOI: 10.25582/data.2021-10.2370399/2140155
title: Data for EMSL Project 51287 from October 2021
DOI: 10.25582/data.2021-10.2367029/2140156
title: Data for EMSL Project 51287 from October 2021
DOI: 10.25582/data.2021-10.2367667/2140157
title: Data for EMSL Project 51287 from October 2021
DOI: 10.25582/data.2021-10.2369480/2140158
title: Data for EMSL Project 51287 from October 2021
DOI: 10.25582/data.2021-10.2367245/2140159
title: Data for EMSL Project 51287 from October 2021
DOI: 10.25582/data.2021-10.2367227/2140160
title: Data for EMSL Project 51287 from October 2021
DOI: 10.25582/data.2021-10.2370584/2140161
title: Data for EMSL Project 51287 from October 2021
DOI: 10.25582/data.2021-10.2368786/2140162
title: Data for EMSL Project 51287 from October 2021
DOI: 10.25582/data.2021-10.2370455/2140163
title: Data for EMSL Project 51287 from October 2021
DOI: 10.25582/data.2021-10.2371249/2140164
title: Data for EMSL Project 51287 from October 2021
DOI: 10.25582/data.2021-10.2370358/2140165
title: Data for EMSL Project 51287 from October 2021
DOI: 10.25582/data.2021-10.2367431/2140166
title: Data for EMSL Project 51287 from October 2021
DOI: 10.25582/data.2021-10.2368845/2140167
title: Data for EMSL Project 51287 from October 2021
DOI: 10.25582/data.2021-10.2369517/2140168
title: Data for EMSL Project 51287 from October 2021
DOI: 10.25582/data.2021-10.2370460/2140169
title: Data for EMSL Project 51287 from October 2021
DOI: 10.25582/data.2021-10.2370918/2140170
title: Data for EMSL Project 51287 from October 2021
DOI: 10.25582/data.2021-10.2371231/2140171
title: Data for EMSL Project 51287 from October 2021
DOI: 10.25582/data.2021-10.2369472/2140172
title: Data for EMSL Project 51287 from October 2021
DOI: 10.25582/data.2021-10.2367243/2140173
title: Data for EMSL Project 51287 from October 2021
DOI: 10.25582/data.2021-10.2369544/2140174
title: Data for EMSL Project 51287 from October 2021
DOI: 10.25582/data.2021-10.2367035/2140175
title: Data for EMSL Project 51287 from October 2021
DOI: 10.25582/data.2021-10.2367451/2140176
title: Data for EMSL Project 51287 from October 2021
DOI: 10.25582/data.2021-10.2368048/2140177
title: Data for EMSL Project 51287 from October 2021
DOI: 10.25582/data.2021-10.2371268/2140178
title: Data for EMSL Project 51287 from October 2021
DOI: 10.25582/data.2021-10.2368165/2140179
title: Data for EMSL Project 51287 from October 2021
DOI: 10.25582/data.2021-10.2367307/2140180
title: Data for EMSL Project 51287 from October 2021
DOI: 10.25582/data.2021-10.2369533/2140181
title: Data for EMSL Project 51287 from October 2021
DOI: 10.25582/data.2021-10.2367217/2140182
title: Data for EMSL Project 51287 from October 2021
DOI: 10.25582/data.2021-10.2369932/2140183
title: Data for EMSL Project 51287 from October 2021
DOI: 10.25582/data.2021-10.2367473/2140184
title: Data for EMSL Project 51287 from October 2021
DOI: 10.25582/data.2021-10.2370393/2140185
title: Data for EMSL Project 51287 from October 2021
DOI: 10.25582/data.2021-10.2369529/2140186
title: Data for EMSL Project 51287 from October 2021
DOI: 10.25582/data.2021-10.2369563/2140187
title: Data for EMSL Project 51287 from October 2021
DOI: 10.25582/data.2021-10.2371293/2140188
title: Data for EMSL Project 51287 from October 2021
DOI: 10.25582/data.2021-10.2367176/2140189
title: Data for EMSL Project 51287 from October 2021
DOI: 10.25582/data.2021-10.2369565/2140190
title: Data for EMSL Project 51287 from October 2021
DOI: 10.25582/data.2021-10.2367607/2140191
title: Data for EMSL Project 51287 from October 2021
DOI: 10.25582/data.2021-10.2369601/2140192
title: Data for EMSL Project 51287 from October 2021
DOI: 10.25582/data.2021-10.2370466/2140193
title: Data for EMSL Project 51287 from October 2021
DOI: 10.25582/data.2021-10.2371273/2140194
title: Data for EMSL Project 51287 from October 2021
DOI: 10.25582/data.2021-10.2370373/2140195
title: Data for EMSL Project 51287 from October 2021
DOI: 10.25582/data.2021-10.2370521/2140196
title: Data for EMSL Project 51287 from October 2021
DOI: 10.25582/data.2021-10.2367024/2140197
title: Data for EMSL Project 51287 from October 2021
DOI: 10.25582/data.2021-10.2367580/2140198
title: Data for EMSL Project 51287 from October 2021
DOI: 10.25582/data.2021-10.2368177/2140199
title: Data for EMSL Project 51287 from October 2021
DOI: 10.25582/data.2021-10.2367631/2140200
title: Data for EMSL Project 51287 from October 2021
DOI: 10.25582/data.2021-10.2369582/2140201
title: Data for EMSL Project 51287 from October 2021
DOI: 10.25582/data.2021-10.2370420/2140202
title: Data for EMSL Project 51287 from October 2021
DOI: 10.25582/data.2021-10.2370532/2140203
title: Data for EMSL Project 51287 from October 2021
DOI: 10.25582/data.2021-10.2367208/2140204
title: Data for EMSL Project 51287 from October 2021
DOI: 10.25582/data.2021-10.2367059/2140205
title: Data for EMSL Project 51287 from October 2021
DOI: 10.25582/data.2021-10.2370942/2140206
title: Data for EMSL Project 51287 from October 2021
DOI: 10.25582/data.2021-10.2371233/2140207
title: Data for EMSL Project 51287 from October 2021
DOI: 10.25582/data.2021-10.2369494/2140208
title: Data for EMSL Project 51287 from October 2021
DOI: 10.25582/data.2021-10.2370368/2140209
title: Data for EMSL Project 51287 from October 2021
DOI: 10.25582/data.2021-10.2369559/2140210
title: Data for EMSL Project 51287 from October 2021
DOI: 10.25582/data.2021-10.2370396/2140211
title: Data for EMSL Project 51287 from October 2021
DOI: 10.25582/data.2021-10.2370416/2140212
title: Data for EMSL Project 51287 from October 2021
DOI: 10.25582/data.2021-10.2369938/2140213
title: Data for EMSL Project 51287 from October 2021
DOI: 10.25582/data.2021-10.2367710/2140214
title: Data for EMSL Project 51287 from October 2021
DOI: 10.25582/data.2021-10.2369922/2140215
title: Data for EMSL Project 51287 from October 2021
DOI: 10.25582/data.2021-10.2370380/2140216
title: Data for EMSL Project 51287 from October 2021
DOI: 10.25582/data.2021-10.2370551/2140217
title: Data for EMSL Project 51287 from October 2021
DOI: 10.25582/data.2021-10.2370439/2140218
title: Data for EMSL Project 51287 from October 2021
DOI: 10.25582/data.2021-10.2367294/2140219
title: Data for EMSL Project 51287 from October 2021
DOI: 10.25582/data.2021-10.2368153/2140220
title: Data for EMSL Project 51287 from October 2021
DOI: 10.25582/data.2021-10.2369496/2140221
title: Data for EMSL Project 51287 from October 2021
DOI: 10.25582/data.2021-10.2367247/2140222
title: Data for EMSL Project 51287 from October 2021
DOI: 10.25582/data.2021-10.2367550/2140223
title: Data for EMSL Project 51287 from October 2021
DOI: 10.25582/data.2021-10.2367293/2140224
title: Data for EMSL Project 51287 from October 2021
DOI: 10.25582/data.2021-10.2367331/2140225
title: Data for EMSL Project 51287 from October 2021
DOI: 10.25582/data.2021-10.2370487/2140226
title: Data for EMSL Project 51287 from October 2021
DOI: 10.25582/data.2021-10.2367152/2140227
title: Data for EMSL Project 51287 from October 2021
DOI: 10.25582/data.2021-10.2370422/2140228
title: Data for EMSL Project 51287 from October 2021
DOI: 10.25582/data.2021-10.2370490/2140229
title: Data for EMSL Project 51287 from October 2021
DOI: 10.25582/data.2021-10.2367279/2140230
title: Data for EMSL Project 51287 from October 2021
DOI: 10.25582/data.2021-10.2370364/2140231
title: Data for EMSL Project 51287 from October 2021
DOI: 10.25582/data.2021-10.2369471/2140232
title: Data for EMSL Project 51287 from October 2021
DOI: 10.25582/data.2021-10.2370444/2140233
title: Data for EMSL Project 51287 from October 2021
DOI: 10.25582/data.2021-10.2370984/2140234
title: Data for EMSL Project 51287 from October 2021
DOI: 10.25582/data.2021-10.2367211/2140235
title: Data for EMSL Project 51287 from October 2021
DOI: 10.25582/data.2021-10.2368037/2140236
title: Data for EMSL Project 51287 from October 2021
DOI: 10.25582/data.2021-10.2370343/2140237
title: Data for EMSL Project 51287 from October 2021
DOI: 10.25582/data.2021-10.2370612/2140238
title: Data for EMSL Project 51287 from October 2021
DOI: 10.25582/data.2021-10.2372408/2140239
title: Data for EMSL Project 51287 from October 2021
DOI: 10.25582/data.2021-10.2369547/2140240
title: Data for EMSL Project 51287 from October 2021
DOI: 10.25582/data.2021-10.2370495/2140241
title: Data for EMSL Project 51287 from October 2021
DOI: 10.25582/data.2021-10.2367327/2140242
title: Data for EMSL Project 51287 from October 2021
DOI: 10.5281/zenodo.10046154
title: Paleo Sea Level Proxies and Indicators for Greenland

description: This repository contains the spreadsheets containing the paleo sea level data in ODS spreadsheet and tab delimited text formats. I also included the bibtex file that has all of the references used in the spreadsheet. For updates, pleasego to the main GAPSLIP database on Github:
https://github.com/evangowan/paleo_sea_level
Version 1.0.1 corrects some of the place names.
DOI: 10.5281/zenodo.8036551
title: Paleo Sea Level Proxies and Indicators for Greenland

description: This repository contains the spreadsheets containing the paleo sea level data in ODS spreadsheet and tab delimited text formats. I also included the bibtex file that has all of the references used in the spreadsheet. For updates, pleasego to the main GAPSLIP database on Github:
https://github.com/evangowan/paleo_sea_level
Version 1.0.1 corrects some of the place names.
DOI: 10.5281/zenodo.8036552
title: Paleo Sea Level Proxies and Indicators for Greenland

description: This repository contains the spreadsheets containing the paleo sea level data in ODS spreadsheet and tab delimited text formats. I also included the bibtex file that has all of the references used in the spreadsheet. For updates, please<br> go to the main GAPSLIP database on Github: https://github.com/evangowan/paleo_sea_level
DOI: 10.34740/kaggle/dsv/6807187
title: Contrastive Language Image Pretraining by openai
DOI: 10.14459/2023mp1709451
title: Bavaria Building Dataset (BBD)

description: The Bavarian Building Dataset (BBD) is an analysis-ready dataset providing an openly available 40cm image dataset over Bavaria (CC-BY4.0, Digitales Ortophoto 40cm - DOP40, https://geodatenonline.bayern.de/) combined with building footprint information as GIS data (Shapefiles) and co-registered imagery. This data has been taken from official building footprints as published openly (CC-BY 4.0, Hausumringe, https://geodaten.bayern.de/). In addition, our dataset contains building footprint geometry (Shapefile) and co-registered masks based on a historic OpenStreetMap extract dating to 2021. The data has been preprocessed and co-registered and is provided as a set of tiles ready for deep learning and other data analysis techniques. The tileset is available as 18.205 tiles of 2500x2500 pixels (each 40cm x 40cm) as well as as a collection of about 5.5 million tiles (210 GB, PNG) of 250x250 pixels for immediate use with computer vision models. The dataset is supposed to support image segmentation research, building footprint extraction research and further interdisciplinary research both on methods and on Bavaria. The dataset is supposed to be updated with each major re-publication of the upstream data sources to foster change detection research in the future.
DOI: 10.5281/zenodo.7401075
title: Communication Research in OECD Countries: H-Classics Dataset

description: Communication Research in OECD Countries: H-Classics Dataset
DOI: 10.5281/zenodo.7401076
title: Communication Research in OECD Countries: H-Classics Dataset

description: Communication Research in OECD Countries: H-Classics Dataset
DOI: 10.6084/m9.figshare.24448525
title: Small corrugation data

description: A new five-axis automatic welding robot system used for plasma arc welding on corrugated surfaces
DOI: 10.6084/m9.figshare.24448525.v1
title: Small corrugation data

description: A new five-axis automatic welding robot system used for plasma arc welding on corrugated surfaces
DOI: 10.5281/zenodo.7963882
title: Visual Design Elements and Principles Ontology (VDEPO)

description: Specification and Conceptualization Phase
DOI: 10.5281/zenodo.7963883
title: Visual Design Elements and Principles Ontology (VDEPO)

description: Specification and Conceptualization Phase
DOI: 10.5281/zenodo.10043066
title: Training information and results of KarmaLoop