cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.9978362.v1
title: Convergence, capitalist diversity, or political volatility? Immigration policy in Western Europe

description: Are immigration policies in European countries converging? Or do some countries remain more open to immigrants than others? We address these questions through an analysis of labour migration policies in five European countries from 1990 to 2016. Using an original immigration policy index (ImPol) to measure policy restrictiveness we examine whether policies have converged, to what extent immigration regimes reflect distinct ‘varieties of capitalism’, and whether national policy trajectories are shaped by domestic politics. We find little evidence of convergence; mixed evidence that immigration policy regimes reflect capitalist diversity; and strong evidence that policies respond to changes in domestic political conditions. Whilst ‘varieties of capitalism’ may set the broad parameters for immigration regimes, the direction and timing of policy changes are determined by domestic political competition.
DOI: 10.15785/sbgrid/825
title: Dataset of TCR-pMHC docked models

description: This dataset comprises bound TCR-pMHC models for 44 TCR docking benchmark cases. These models were produced using four docking platforms - ClusPro, HADDOCK, LightDock and ZDOCK - as a comparative study of docking software performance in the context of TCR-pMHC modelling. Each docking case was provided to the software platforms along with varying levels of detail about the binding interface in the form of four docking scenarios, to assess how effectively each platform made use of this additional information to improve modeling accuracy. A manuscript reporting these results has been submitted for publication.
DOI: 10.21227/1qcz-2168
title: SCUC DATA

description: Unit commitment and system data used in the following research paper:
DOI: 10.5066/p9tmsoq0
title: Major faults in Iran (flt2cg)

description: The geology data set for this map includes arcs, polygons, and labels that outline and describe the general geologic age and type of bedrock of Iran. The geologic provinces data set includes arcs, polygons, and labels of geologic and petroleum provinces interpreted and designated by R.M. Pollastro from a number of literature and map resources to assist in the assessment of oil and gas resources for the USGS World Energy Project. The oil and gas field centerpoints data set is a point coverage that marks the approximate centerpoints of oil and gas fields in Iran. Political boundaries are provided to show the general location of country and/or other reference 'political' boundaries.
DOI: 10.6084/m9.figshare.13713901.v1
title: Automatic Water-Level Measurement System

description: [Reference]
DOI: 10.5066/p93bl6me
title: Faults and tectonic contacts of Bangladesh (flt8bg)

description: This coverage includes lines that describe faults and tectonic contacts of the Bangladesh.
DOI: 10.6084/m9.figshare.3761562.v1877
title: Online Labour Index: Measuring the Online Gig Economy for Policy and Research

description: Data repository for the data underlying the Online Labour Index. See http://ilabour.oii.ox.ac.uk online-labour-index/ for details.
DOI: 10.5517/ccdc.csd.cc21gggg
title: CCDC 1890735: Experimental Crystal Structure Determination

description: Related Article: Poulami Pattanayak, Sankar Prasad Parua, Debprasad Patra, Paula Brandão, Vitor Felix, Ashoke Prasun Chattopadhyay, Surajit Chattopadhyay|2021|J.Indian Chem.Soc.|98|100049|doi:10.1016/j.jics.2021.100049
DOI: 10.5517/ccdc.csd.cc25vpnd
title: CCDC 2021654: Experimental Crystal Structure Determination

description: Related Article: Haiyan Zhang, Jun Huang, Fanke Meng|2021|Cell Reports Physical Science|2|100406|doi:10.1016/j.xcrp.2021.100406
DOI: 10.5517/ccdc.csd.cc25vpk9
title: CCDC 2021651: Experimental Crystal Structure Determination

description: Related Article: Haiyan Zhang, Jun Huang, Fanke Meng|2021|Cell Reports Physical Science|2|100406|doi:10.1016/j.xcrp.2021.100406
DOI: 10.5517/ccdc.csd.cc25zb3m
title: CCDC 2025140: Experimental Crystal Structure Determination

description: Related Article: Zong-Wang Qiu, Xue-Tao Xu, Han-Peng Pan, Zhen-Sheng Jia, Ai-Jun Ma, Jin-Bao Peng, Ji-Yuan Du, Na Feng, Bao Qiong Li, Xiang-Zhi Zhang|2021|J.Org.Chem.|86|6075|doi:10.1021/acs.joc.0c02844
DOI: 10.5517/ccdc.csd.cc26050f
title: CCDC 2025943: Experimental Crystal Structure Determination

description: Related Article: Haiyan Zhang, Jun Huang, Fanke Meng|2021|Cell Reports Physical Science|2|100406|doi:10.1016/j.xcrp.2021.100406
DOI: 10.5517/ccdc.csd.cc2689f7
title: CCDC 2033768: Experimental Crystal Structure Determination

description: Related Article: Cheng-Yun Zhang, Jie Zhu, Su-Hang Cui, Xiao-Yu Xie, Xiao-Dong Wang, Lei Wu|2021|Org.Lett.|23|3530|doi:10.1021/acs.orglett.1c00943
DOI: 10.5517/ccdc.csd.cc25zb2l
title: CCDC 2025139: Experimental Crystal Structure Determination

description: Related Article: Zong-Wang Qiu, Xue-Tao Xu, Han-Peng Pan, Zhen-Sheng Jia, Ai-Jun Ma, Jin-Bao Peng, Ji-Yuan Du, Na Feng, Bao Qiong Li, Xiang-Zhi Zhang|2021|J.Org.Chem.|86|6075|doi:10.1021/acs.joc.0c02844
DOI: 10.5517/ccdc.csd.cc2689h9
title: CCDC 2033770: Experimental Crystal Structure Determination

description: Related Article: Cheng-Yun Zhang, Jie Zhu, Su-Hang Cui, Xiao-Yu Xie, Xiao-Dong Wang, Lei Wu|2021|Org.Lett.|23|3530|doi:10.1021/acs.orglett.1c00943
DOI: 10.5517/ccdc.csd.cc26nqh3
title: CCDC 2045705: Experimental Crystal Structure Determination

description: Related Article: Zong-Wang Qiu, Xue-Tao Xu, Han-Peng Pan, Zhen-Sheng Jia, Ai-Jun Ma, Jin-Bao Peng, Ji-Yuan Du, Na Feng, Bao Qiong Li, Xiang-Zhi Zhang|2021|J.Org.Chem.|86|6075|doi:10.1021/acs.joc.0c02844
DOI: 10.25345/c5br6g
title: MassIVE MSV000087477 - mascot merge mzid Minimal input Minimal input Minimal input Minimal input Minimal input
title: mascot merge mzid Minimal input Minimal input Minimal input Minimal input Minimal input mascot merge mzid Minimal input Minimal input Minimal input Minimal input Minimal input mascot merge mzid Minimal input Minimal input Minimal input Minimal input Minimal input mascot merge mzid Minimal input Minimal input Minimal input Minimal input Minimal input mascot merge mzid Minimal input Minimal input Minimal input Minimal input Minimal input
DOI: 10.25345/c56z5x
title: MassIVE MSV000087478 - mztab trial test mztab trial test mztab trial test mztab trial test
title: mztab trial test mztab trial test mztab trial test mztab trial test mztab trial test mztab trial test mztab trial test mztab trial test mztab trial test mztab trial test mztab trial test mztab trial test mztab trial test mztab trial test mztab trial test mztab trial test mztab trial test mztab trial test mztab trial test mztab trial test mztab trial test mztab trial test mztab trial test mztab trial test
DOI: 10.5281/zenodo.4779832
title: Dataset for article- Technological improvement rate estimates for all technologies: Use of patent data and an extended domain description

description: In this work, we provide predicted yearly performance improvement rates for nearly all definable technologies for the first time. We do this by creating a correspondence of all patents within the US patent system to a set of 1757 technology domains. A technology domain is a body of patented inventions achieving the same technological function using the same knowledge and scientific principles. These domains contain 97.2% of all patents within the entire US patent system. From the identified patent sets, we calculated the average centrality of the patents in each domain to predict their improvement rates, following a patent network-based methodology tested in prior work. They vary from a low of 2% per year for the <em>Mechanical Skin treatment- Hair Removal and wrinkles</em> domain to a high of 216% per year for the <em>Dynamic information exchange and support systems integrating multiple channels </em>domain, but more that 80% of technologies improve at less than 25% per year. Fast improving domains are concentrated in a few technological areas. The domains that show improvement rates greater than the predicted rate for integrated chips, from Moore’s law, are predominantly based upon software and algorithms. In addition, the rates of improvement were not a strong function of the patent set size.
DOI: 10.5281/zenodo.4779831
title: Dataset for article- Technological improvement rate estimates for all technologies: Use of patent data and an extended domain description

description: In this work, we provide predicted yearly performance improvement rates for nearly all definable technologies for the first time. We do this by creating a correspondence of all patents within the US patent system to a set of 1757 technology domains. A technology domain is a body of patented inventions achieving the same technological function using the same knowledge and scientific principles. These domains contain 97.2% of all patents within the entire US patent system. From the identified patent sets, we calculated the average centrality of the patents in each domain to predict their improvement rates, following a patent network-based methodology tested in prior work. They vary from a low of 2% per year for the <em>Mechanical Skin treatment- Hair Removal and wrinkles</em> domain to a high of 216% per year for the <em>Dynamic information exchange and support systems integrating multiple channels </em>domain, but more that 80% of technologies improve at less than 25% per year. Fast improving domains are concentrated in a few technological areas. The domains that show improvement rates greater than the predicted rate for integrated chips, from Moore’s law, are predominantly based upon software and algorithms. In addition, the rates of improvement were not a strong function of the patent set size.
DOI: 10.5281/zenodo.4779572
title: Okavango Rift Zone Seismic Reflection Profiles October 2019

description: Seismic-reflection profiles collected within several river systems within the Okavango Delta, which lies structurally above the Okavango Rift Zone. The profiles were collected in October 2019. Included are also interpretations of the profiles.
DOI: 10.5281/zenodo.4779571
title: Okavango Rift Zone Seismic Reflection Profiles October 2019

description: Seismic-reflection profiles collected within several river systems within the Okavango Delta, which lies structurally above the Okavango Rift Zone. The profiles were collected in October 2019. Included are also interpretations of the profiles.
DOI: 10.5517/ccdc.csd.cc26zs00
title: CCDC 2055362: Experimental Crystal Structure Determination

description: Related Article: Yuriy V. Zatsikha, Liliya I. Shamova, David E. Herbert, Victor N. Nemykin|2021|Angew.Chem.,Int.Ed.|60|12304|doi:10.1002/anie.202100888
DOI: 10.5517/ccdc.csd.cc272x5f
title: CCDC 2058374: Experimental Crystal Structure Determination

description: Related Article: Thomas X. Gentner, Alan R. Kennedy, Eva Hevia, Robert E. Mulvey|2021|ChemCatChem|13|2371|doi:10.1002/cctc.202100218
DOI: 10.5517/ccdc.csd.cc272x6g
title: CCDC 2058375: Experimental Crystal Structure Determination

description: Related Article: Thomas X. Gentner, Alan R. Kennedy, Eva Hevia, Robert E. Mulvey|2021|ChemCatChem|13|2371|doi:10.1002/cctc.202100218
DOI: 10.5517/ccdc.csd.cc272x7h
title: CCDC 2058376: Experimental Crystal Structure Determination

description: Related Article: Thomas X. Gentner, Alan R. Kennedy, Eva Hevia, Robert E. Mulvey|2021|ChemCatChem|13|2371|doi:10.1002/cctc.202100218
DOI: 10.5517/ccdc.csd.cc279l9g
title: CCDC 2064795: Experimental Crystal Structure Determination

description: Related Article: Jia-Yin Wang, Guigen Li, Wen-Juan Hao, Bo Jiang|2021|Org.Lett.|23|3828|doi:10.1021/acs.orglett.1c00892
DOI: 10.5517/ccdc.csd.cc27b7qk
title: CCDC 2065428: Experimental Crystal Structure Determination

description: Related Article: Ryan T. Rondo, Kristin Kirschbaum, Mark R. Mason|2021|J.Organomet.Chem.|944|121830|doi:10.1016/j.jorganchem.2021.121830
DOI: 10.5517/ccdc.csd.cc27b7rl
title: CCDC 2065429: Experimental Crystal Structure Determination

description: Related Article: Ryan T. Rondo, Kristin Kirschbaum, Mark R. Mason|2021|J.Organomet.Chem.|944|121830|doi:10.1016/j.jorganchem.2021.121830
DOI: 10.5517/ccdc.csd.cc27b7sm
title: CCDC 2065430: Experimental Crystal Structure Determination

description: Related Article: Ryan T. Rondo, Kristin Kirschbaum, Mark R. Mason|2021|J.Organomet.Chem.|944|121830|doi:10.1016/j.jorganchem.2021.121830
DOI: 10.5517/ccdc.csd.cc27dldn
title: CCDC 2067681: Experimental Crystal Structure Determination

description: Related Article: Yang'en You, Shaozhong Ge|2021|Angew.Chem.,Int.Ed.|60|12046|doi:10.1002/anie.202100775
DOI: 10.5517/ccdc.csd.cc27f7mk
title: CCDC 2068308: Experimental Crystal Structure Determination

description: Related Article: Kuioyng Dong, Raj Gurung, Xinfang Xu, Michael P. Doyle|2021|Org.Lett.|23|3955|doi:10.1021/acs.orglett.1c01113
DOI: 10.24431/rw1k584
title: Dissolved aluminum and manganese concentrations from samples collected on Northern Gulf of Alaska LTER (NGA LTER) site seasonal cruises in the Gulf of Alaska in 2018-2019

description: This dataset describes the concentration of dissolved (&lt;0.2 micron) aluminum (dAl) and dissolved manganese (dMn) collected during seasonal cruises in 2018 and 2019 as part of the Northern Gulf of Alaska LTER site (NGA LTER). Surface samples for dAl and dMn were collected on all cruises using a towed system deployed on the side of the ship that served to pump water into a trace metal clean sampling station on the vessel, and samples for depth profiles were collected on the spring 2018 and summer 2019 cruises using a trace metal clean sampling rosette. Concentrations are reported in nanomoles per liter seawater (nM) and the file format is .csv, with one file per cruise. Aluminum and manganese are lithogenic elements that mainly enter NGA waters via freshwater input. Aluminum is not required for biological processes while Mn is a micronutrient, but it is not a limiting nutrient in this area. Together Al and Mn data can contribute to understanding the inputs of iron, whose availability has been shown to influence phytoplankton communities in this region.
DOI: 10.6084/m9.figshare.12978200
title: Homogenization of terrestrial mammal assemblages in human-modified rainforests

description: Data on medium and large terrestrial mammal species was obtained in 22 forest patches and 4 continuous forest sites in the fragmented Lacandona rainforest, Chiapas, Mexico. We sampled mammals using camera-traps, ground tracks and direct sightings in 2011 and 2017. For each site, we measured metrics of landscape composition (i.e. percentage of forest cover and matrix openness) and landscape configuration (i.e. number of patches, edge density and mean inter-patch distance). We analyzed sample completeness in each site and removed sites with low sample coverage (Cn &lt; 0.65). Thus, the analyses are based on 20 forest sites (16 patches and 4 continuous forest sites). We calculated changes in beta diversity from 2017 to 2011 and decomposed it into its turnover and nestedness components, using a presence-absence matrix. We analyzed the association between changes in landscape variables and changes in beta diversity using Mantel tests. Landscape metrics were measured across different landscape sizes (range of radii = 200 to 1400 m, at 200-m intervals).
DOI: 10.5281/zenodo.4780576
title: Titan Atmospheric Model Simulation for 'Annular Modes of Variability the Atmospheres of Mars and Titan'

description: This dataset contains variables from a 20 Titan year long simulation of the Titan Atmospheric Model suitable to calculate the baroclinic and barotropic annular modes. The dataset contains the following 3D variables with dimension (timestep [1–14340], latitude [1–32], longitude [1–64]): pressure-averaged eddy kinetic energy (EKEpres) and surface pressure (ps); The following 3D variables with dimension (timestep, latitude, pressure): zonal-mean eddy kinetic energy (EKEzonal), zonal-mean zonal wind (Uzonal), zonal-mean eddy momentum flux (mFluxzonal), and zonal-mean eddy heat flux (tFluxzonal); And the following 1D variables: Tsol (timestep), pressure, latitude, longitude. For more, see (Battalio and Lora, 2021 'Annular Modes of Variability in the Atmospheres of Mars and Titan').
DOI: 10.5281/zenodo.4780575
title: Titan Atmospheric Model Simulation for 'Annular Modes of Variability the Atmospheres of Mars and Titan'

description: This dataset contains variables from a 20 Titan year long simulation of the Titan Atmospheric Model suitable to calculate the baroclinic and barotropic annular modes. The dataset contains the following 3D variables with dimension (timestep [1–14340], latitude [1–32], longitude [1–64]): pressure-averaged eddy kinetic energy (EKEpres) and surface pressure (ps); The following 3D variables with dimension (timestep, latitude, pressure): zonal-mean eddy kinetic energy (EKEzonal), zonal-mean zonal wind (Uzonal), zonal-mean eddy momentum flux (mFluxzonal), and zonal-mean eddy heat flux (tFluxzonal); And the following 1D variables: Tsol (timestep), pressure, latitude, longitude. For more, see (Battalio and Lora, 2021 'Annular Modes of Variability in the Atmospheres of Mars and Titan').
DOI: 10.6073/pasta/7c60f6fc1fe3cf7b5aa195900ea25826
title: North Temperate Lakes LTER: High Frequency Meteorological and Dissolved Oxygen Data - Crystal Bog Buoy 2005 - current

description: The instrumented buoy on Crystal Bog is equipped with a dissolved oxygen sensor, a thermistor chain, and meteorological sensors that provide fundamental information on lake thermal structure, weather conditions, and lake metabolism. Data are usually collected every 10 minutes with occasional periods of 2 minute data for short periods to answer specific questions. The D-Opto dissolved oxygen sensor is 0.5m from the lake surface, thermistors are placed every 0.25m throughout the water column, and meteorological sensors measure wind speed, relative humidity, and air temperature. After correcting for flux to or from the atmosphere and vertical mixing within the water column, high frequency measurements of dissolved gases such as carbon dioxide and oxygen can be used to estimate gross primary productivity, respiration, and net ecosystem productivity, the basic components of whole lake metabolism. Sampling Frequency: varies for instantaneous sample. averaged to hourly and daily values from one minute samples Number of sites: 1
DOI: 10.5517/ccdc.csd.cc1n4mkz
title: CCDC 1523791: Experimental Crystal Structure Determination

description: Related Article: Kuan Zheng, Ran Hong|2021|Tetrahedron|88|132141|doi:10.1016/j.tet.2021.132141
DOI: 10.5517/ccdc.csd.cc25h5yt
title: CCDC 2010596: Experimental Crystal Structure Determination

description: Related Article: Qiang Liu, Jia-Hui Chen, Min Yao, Zhuo-Yu Zhao, Xiang-Yi Liu, Xiao-Li Zhao, Min Shi, Mei-Xin Zhao|2021|Tetrahedron|88|132122|doi:10.1016/j.tet.2021.132122
DOI: 10.5517/ccdc.csd.cc26tv2z
title: CCDC 2050621: Experimental Crystal Structure Determination

description: Related Article: Aoife M. Kearney, Linda Murphy, Chloe C. Murphy, Kevin S. Eccles, Simon E. Lawrence, Stuart G. Collins, Anita R. Maguire|2021|Tetrahedron|88|132091|doi:10.1016/j.tet.2021.132091
DOI: 10.5517/ccdc.csd.cc271v6c
title: CCDC 2057352: Experimental Crystal Structure Determination

description: Related Article: Anna V. Serebryannikova, Ekaterina E. Galenko, Mikhail S. Novikov, Alexander F. Khlebnikov|2021|Tetrahedron|88|132153|doi:10.1016/j.tet.2021.132153
DOI: 10.5517/ccdc.csd.cc2741r6
title: CCDC 2059477: Experimental Crystal Structure Determination

description: Related Article: Mikhail Yu Moskalik, Ivan A. Garagan, Vera V. Astakhova, Irina V. Sterkhova, Bagrat A. Shainyan|2021|Tetrahedron|88|132145|doi:10.1016/j.tet.2021.132145
DOI: 10.5281/zenodo.4780594
title: CoVaxxy Tweet IDs data set

description: A collection of Tweet IDs related to Covid-19 Vaccines, gathered from Twitter since Jan 4, 2021. Please see https://arxiv.org/abs/2101.07694 for more information.
DOI: 10.6084/m9.figshare.14560782.v2
title: Cell surface epitope WWOX286-299 in normal cells is responsible for repelling invading WWOX-negative or -dysfunctional cancer cells

description: Supplementary spreadsheet for main figures and supplementary figures, and supplementary videos,
DOI: 10.6084/m9.figshare.14560782.v3
title: Cell surface epitope WWOX286-299 in normal cells is responsible for repelling invading WWOX-negative or -dysfunctional cancer cells

description: Supplementary spreadsheet for main figures and supplementary figures, and supplementary videos,
DOI: 10.6084/m9.figshare.14637177.v2
title: statistics

description: <pre>statistics of the study</pre>
DOI: 10.6084/m9.figshare.14637177
title: statistics

description: <pre>statistics of the study</pre>
DOI: 10.6084/m9.figshare.14637177.v1
title: statistics

description: <pre>statistics of the study</pre>
DOI: 10.21947/1328900
title: Microwave Radiometer - NOAA Microwave Radiometer - Raw Data

description: Monitor real-time profiles of temperature (K), water vapor (gm-3), relative humidity (%) and liquid water (gm-3) up to 10km.
DOI: 10.21227/y367-5p32
title: THE BOT-IOT DATASET

description: i need iot dataset but is a large
DOI: 10.21947/1328923
title: Microwave Radiometer - UMBC Microwave Radiometer - Raw Data

description: Kipp & Zonen Microwave Temperature Profiler (MTP-5) with a 5 min temporal and 50 m vertical resolution.
DOI: 10.21947/1349889
title: Wind Turbine - SWiFT southeast - WTGa1 - Reviewed Data

description: Scaled Wind Farm Technology (SWiFT) Facility meteorological tower (MET), turbine, and Technical University of Denmark (DTU) SpinnerLidar data acquired on 20161216 UTC during a neutral atmospheric boundary layer inflow at a single focus distance of 2.5 D (D=27 m).
DOI: 10.34740/kaggle/dsv/2257960
title: Nepal ICU and Ventilators Occupancy for COVID
DOI: 10.6084/m9.figshare.14642823
title: Data from: Distribution and chemical composition of lignin in secondary xylem of Cactaceae

description: These data are from Cactaceae samples that lignin was extracted and purified to obtain by HPLC the percentages of syringyl and guaiacyl to calculate the S/G ratio.
DOI: 10.6084/m9.figshare.14642823.v1
title: Data from: Distribution and chemical composition of lignin in secondary xylem of Cactaceae

description: These data are from Cactaceae samples that lignin was extracted and purified to obtain by HPLC the percentages of syringyl and guaiacyl to calculate the S/G ratio.
DOI: 10.6084/m9.figshare.14642888
title: Additional file 2 of Microbiome characterization of defensive tissues in the model anemone Exaiptasia diaphana

description: Additional file 2 Database of bacteria isolated from acontia from E. diaphana. Is reported for each isolate: source genotype, partial 16S rRNA sequence, morphology, closest BLAST result and full taxonomy. When there were several BLAST results with identical scores, the species column was left on “sp.”.
DOI: 10.6084/m9.figshare.14642888.v1
title: Additional file 2 of Microbiome characterization of defensive tissues in the model anemone Exaiptasia diaphana

description: Additional file 2 Database of bacteria isolated from acontia from E. diaphana. Is reported for each isolate: source genotype, partial 16S rRNA sequence, morphology, closest BLAST result and full taxonomy. When there were several BLAST results with identical scores, the species column was left on “sp.”.
DOI: 10.6084/m9.figshare.14642894
title: Additional file 4 of Microbiome characterization of defensive tissues in the model anemone Exaiptasia diaphana

description: Additional file 4. Abundance of ASVs shared across all four genotypes AIMS1–4 (A, F) or unique to a given genotype (B-E). Only ASVs with a mean abundance &gt; 0.1% are shown in F.
DOI: 10.6084/m9.figshare.14642894.v1
title: Additional file 4 of Microbiome characterization of defensive tissues in the model anemone Exaiptasia diaphana

description: Additional file 4. Abundance of ASVs shared across all four genotypes AIMS1–4 (A, F) or unique to a given genotype (B-E). Only ASVs with a mean abundance &gt; 0.1% are shown in F.