cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc2cd41z
title: CCDC 2186400: Experimental Crystal Structure Determination

description: Related Article: Simin Sun, Yuliang Wei, Jiaxi Xu|2022|Org.Lett.|24|6024|doi:10.1021/acs.orglett.2c02321
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.25318/9810012601-eng
title: Marital status, age group and gender: Canada, provinces and territories, census metropolitan areas and census agglomerations

description: Data on marital status, age group and gender for the population aged 15 and over, Canada, provinces and territories, census metropolitan areas and census agglomerations, 2021 and 2016 censuses.
DOI: 10.25318/9810012601-fra
title: État matrimonial, groupe d'âge et genre : Canada, provinces et territoires, régions métropolitaines de recensement et agglomérations de recensement

description: Données sur l’état matrimonial, le groupe d’âge et le genre de la population de 15 ans et plus, Canada, provinces et territoires, régions métropolitaines de recensement et agglomérations de recensement, recensements de 2021 et 2016.
DOI: 10.5281/zenodo.7026547
title: Zenodo Upload for DataFed record:YG044_Yichen_Guo_07172022

description: Zenodo Upload for DataFed record:YG044_Yichen_Guo_07172022
DOI: 10.5281/zenodo.7026546
title: Zenodo Upload for DataFed record:YG044_Yichen_Guo_07172022

description: Zenodo Upload for DataFed record:YG044_Yichen_Guo_07172022
DOI: 10.5281/zenodo.6928349
title: Data for Directional Surface Wave Spectra And Sea Ice Structure from ICEsat-2 Altimetry

description: This is data used for <em>Directional Surface Wave Spectra And Sea Ice Structure from ICEsat-2 Altimetry</em> in the Cryosphere. The code that reproduces this data can be found at <pre>10.5281/zenodo.6908645</pre> See README.md for further instructions.
DOI: 10.5281/zenodo.6928350
title: Data for Directional Surface Wave Spectra And Sea Ice Structure from ICEsat-2 Altimetry

description: This is data used for <em>Directional Surface Wave Spectra And Sea Ice Structure from ICEsat-2 Altimetry</em> in the Cryosphere. The code that reproduces this data can be found at <pre>10.5281/zenodo.6908645</pre> See README.md for further instructions.
DOI: 10.22003/xfel.eu-data-002995-00
title: Imaging a catalyst superlattice’s nucleation and growth
DOI: 10.6084/m9.figshare.20666280
title: buteogallus_meridionalis_decontaminated_FSCR.fasta.gz

description: ......
DOI: 10.6084/m9.figshare.20666280.v1
title: buteogallus_meridionalis_decontaminated_FSCR.fasta.gz

description: ......
DOI: 10.5281/zenodo.7026025
title: Code and Data for "Bridging Gaps in the Climate Observation Network"

description: The code and data used in the paper "Bridging Gaps in the Climate Observation Network: A Physics-based Nonlinear Dynamical Interpolation of Lagrangian Ice Floe Measurements via Data-Driven Stochastic Model"
DOI: 10.5281/zenodo.7026024
title: Code and Data for "Bridging Gaps in the Climate Observation Network"

description: The code and data used in the paper "Bridging Gaps in the Climate Observation Network: A Physics-based Nonlinear Dynamical Interpolation of Lagrangian Ice Floe Measurements via Data-Driven Stochastic Model"
DOI: 10.6084/m9.figshare.3761562.v2322
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: 10.5281/zenodo.7026570
title: Dados de pesquisa Ciência aberta

description: Dados da pesquisa sobre Ciência Aberta nas 97 revistas de humanidades, indexadas na SciElo, realizada em abril de 2022.
DOI: 10.5281/zenodo.7026569
title: Dados de pesquisa Ciência aberta

description: Dados da pesquisa sobre Ciência Aberta nas 97 revistas de humanidades, indexadas na SciElo, realizada em abril de 2022.
DOI: 10.17894/ucph.e7977fc3-59c7-4167-8ec4-421debb25e4f
title: Uranium isotope composition of Kinnekulle carbonates, Middle Ordovician
DOI: 10.17894/ucph.c0757256-a5cb-413c-9bc1-1d0c1926f9ee
title: Two data tables
DOI: 10.6084/m9.figshare.20668239
title: circus_maillardi_decontaminated_FSCR.fasta.gz

description: .......
DOI: 10.6084/m9.figshare.20668239.v1
title: circus_maillardi_decontaminated_FSCR.fasta.gz

description: .......
DOI: 10.5255/ukda-sn-855898
title: Impact of Knowledge Management on Firm Competitiveness: Core Competence as Mediator, 2020-2021

description: Purpose: The objective of the current study is to empirically investigate interrelationships among three variables; knowledge management (KM), core competence (CC), and firm competitiveness (FC), and to develop a framework based on empirical evidence for developing countries in South Asia. Design/Methodology: This is cross-sectional quantitative research having a stratified sample of 119 larger innovative manufacturing and service organizations in Pakistan. All hypothesized relationships were analyzed by employing SEM using AMOS version. 20. Findings: Results of the study confirmed the positive and significant influence of four constructs of knowledge management processes on four constructs of firm competitiveness (innovation, delivery, quality, and financial performance). Further, knowledge management significantly impacts the firm's competitiveness through the mediation of TOP core competence.
DOI: 10.6084/m9.figshare.20642106
title: buteo_oreophilus_zanfona_1.fasta.gz

description: .......
DOI: 10.6084/m9.figshare.20642106.v1
title: buteo_oreophilus_zanfona_1.fasta.gz

description: .......
DOI: 10.17894/ucph.1d37962d-b7a4-4e98-9940-b69ad03676b4
title: Geochemical data from Kinnekulle carbonates, Middle Ordovician
DOI: 10.5281/zenodo.7023389
title: ANOVA analysis of lignin degradation by the different ligninolytic yeasts

description: The ANOVA analysis shows us that, according to the type of treatment, that is, yeast, the amount of degraded lignin will be.
DOI: 10.5281/zenodo.7023388
title: ANOVA analysis of lignin degradation by the different ligninolytic yeasts

description: The ANOVA analysis shows us that, according to the type of treatment, that is, yeast, the amount of degraded lignin will be.
DOI: 10.18112/openneuro.ds003659.v1.0.0
title: ScanTrain
DOI: 10.25574/16208
title: Chandra X-ray Observatory ObsId 16208

description: A Definitive Test of Relativistic Disk Lines in Neutron Stars
DOI: 10.25574/16209
title: Chandra X-ray Observatory ObsId 16209

description: A Definitive Test of Relativistic Disk Lines in Neutron Stars
DOI: 10.21227/8b9y-wy71
title: Hate Speech in Chilean Twitter

description: Abstract In the last few years, several organizations have manifested their concern over the increase in use of Hateful Speech or Hate Speech for short, this concept refers to forms of expression or audio-visual content that encourage discrimination or violence against individuals or groups solely based on their gender, sexual orientation, ethnicity, religion or nationality. Being able to monitor this phenomenon in a timely manner can help societies and their governments to prevent tensions, crimes and conflicts that endangers not only the most fundamental democratic values but also order stability and social peace. The fast massification of social platforms has transformed them into one of the main mediums used by people today for creating and sharing information. Consequently, social media platforms such as Twitter, Instagram or Facebook are the staging in which Hate Speech is mostly propagated today. Sadly the great reach of these platforms, their public nature, the social dynamics that are perpetuated in them and the absence of an explicit regulatory framework, only worsen and increase the magnitude of this phenomena. Mining such conversations, such as Tweets, to develop a dataset can serve as a data resource for interdisciplinary research related to the analysis of interest, views, opinions and help us in the creation of tools to further our understanding of social dynamics related to Hate Speech propagation and analysis.The dataset is compliant with the privacy policy, developer agreement, and guidelines for content redistribution of Twitter and the FAIR principles (Findability, Accessibility, Interoperability, and Reusability) principles for scientific data management.Data DescriptionThe dataset comprises a total of 2,255 Tweets ID’s, Authors ID’s about Hate Speech related to chilean dialect or news that were posted on Twitter from 2020 to july 2022 and and 6542 Tweets ID’s related to the classificated tweets context. tweets_train.csv - Train set.public_test_data.csv - Test set.referenced_tweets_data.csv - Referenced Tweets dataThe train set includes  2255 examples labeled in 5 clases: "Odio", "Mujeres", "Comunidad LGBTQ+", "Comunidades Migrantes", "Pueblos Originarios" with values from 0 to 1 indicating 0 for false and 1 for true where 0 means the tweets doesn't contain the class.The train set examples include the following columns:tweet_idauthor_idconversation_id: Tuple which contains the tweets_id (from the file referenced_tweeets_data.csv) to which the labeled tweet references. this Id’s are in such order that in the first position is the tweet referenced in the labeled tweet, then the id in the second position is referenced by the tweet in the first position and so on and so on…The dataset contains only Tweet and Author IDs in compliance with the terms and conditions mentioned in the privacy policy, developer agreement, and guidelines for content redistribution of Twitter. The Tweet IDs need to be hydrated to be used. For hydrating this dataset the Hydrator application (link to download and a step-by-step tutorial on how to use Hydrator) may be used.
DOI: 10.25574/16244
title: Chandra X-ray Observatory ObsId 16244

description: Pre-Planned Target of Opportunity (ToO) Observations of the Crab Nebula upon the Occurrence of the Next Gamma-Ray Flare
DOI: 10.21227/hwa2-tp66
title: Industrial drying of Filter Media - Moisture Content Prediction

description: Industrial drying processes are an energy extensive and often one of the most time consuming processes in a manufacturing line. Optimizing the drying process can therefore lead to a reducing in energy consumption and an increase in manufacturing throughput.Being able to give a reasonable estimate of the moisture content is a catalyst for the optimization process. This dataset consists of 161 different drying experiments of drying filter media in an industrial drying oven, resulting in 322 sets of observations of summarised process parameters as well as snapshots of the current situation inside the oven at the end of each experiment, and the experimentally measured moisture content for that specific time
DOI: 10.6084/m9.figshare.20202170
title: Supporting information: The capacity of freshwater ecosystems to recover from exceedences of aquatic life criteria

description: This collection consists of datasets and supporting information for the article of the same title, published in Environmental Toxicology and Chemistry (<sub>http://dx.doi.org/10.1002/etc.5471</sub>). Contents include 5 files: 1. <strong>Appendix 1</strong> (pdf, 18 pp). Freshwater disturbance and recovery case study narratives 2. <strong>Appendix 2</strong> (pdf, 5 pp). Inputs for the five matrix population models developed or adapted for the article (1. <em>Hyalella azteca</em>; 2. Fathead minnow, <em>Pimephales promela</em>s; 3. Brook trout, <em>Salvelinus fontinalis</em>; 4. Lake trout, <em>Salvelinus namaycush</em>; and 5. Shortnose sturgeon, <em>Acipenser brevirostrum</em> 3. <strong>Maximum-life-span-of-fishes-anage_data.xlsx,</strong> dataset behind figure 3 4. <strong>Recovery-case-study-summaries.xlsx,</strong> numerical values derived from the case study narratives and which were used to prepare figures 4-6. 5. <strong>Population_modeling_scenarios-5-species.xlsx;</strong> results from the population models used to prepare figures 7-9.
DOI: 10.6084/m9.figshare.20202170.v1
title: Supporting information: The capacity of freshwater ecosystems to recover from exceedences of aquatic life criteria

description: This collection consists of datasets and supporting information for the article of the same title, published in Environmental Toxicology and Chemistry (<sub>http://dx.doi.org/10.1002/etc.5471</sub>). Contents include 5 files: 1. <strong>Appendix 1</strong> (pdf, 18 pp). Freshwater disturbance and recovery case study narratives 2. <strong>Appendix 2</strong> (pdf, 5 pp). Inputs for the five matrix population models developed or adapted for the article (1. <em>Hyalella azteca</em>; 2. Fathead minnow, <em>Pimephales promela</em>s; 3. Brook trout, <em>Salvelinus fontinalis</em>; 4. Lake trout, <em>Salvelinus namaycush</em>; and 5. Shortnose sturgeon, <em>Acipenser brevirostrum</em> 3. <strong>Maximum-life-span-of-fishes-anage_data.xlsx,</strong> dataset behind figure 3 4. <strong>Recovery-case-study-summaries.xlsx,</strong> numerical values derived from the case study narratives and which were used to prepare figures 4-6. 5. <strong>Population_modeling_scenarios-5-species.xlsx;</strong> results from the population models used to prepare figures 7-9.
DOI: 10.5281/zenodo.6538130
title: Spectral flow cytometric tracking of mitochondria transfer in adipose tissue by age and diet

description: Unmixed fcs files for the stromal vascular fraction of epididymal (eWAT), inguinal (iWAT), and brown adipose tissue (BAT) in <em>mtD2<sup>F/+</sup>AdipoqCre<sup>+/-</sup></em> and different ages or diets. For a breakdown of samples and code, please see: https://github.com/ncborcherding/mtD2 <strong>Antibody Panel: </strong> <strong>Laser</strong> <strong>Channel</strong> <strong>Antigen</strong> <strong>Fluorophore</strong> <strong>Final Dilution Factor</strong> <strong>Vendor</strong> <strong>Clone</strong> <strong>Catalog Number</strong> Violet V1 SiglecF BV 421 1:400 BD Biosciences E50-2440 562681 V2 CD44 Super Bright 436 1:300 eBioscience IM7 62-044-180 V3 CD11b Pacific Blue 1:300 BioLegend M1/70 101224 V5 IL-33R⍺-biotin n/a 1:300 BioLegend DIH9 145308 V5 Streptavidin (2°) BV 480 1:300 BD Horizon n/a 564876 V7 MHC-II (I-A/I-E) BV 510 1:300 BioLegend M5/114.15.2 107636 V8 Ly6C BV 570 1:400 BioLegend HK1.4 128030 V10 KLRG1 BV 605 1:300 BioLegend 2F1/KLRG1 138419 V11 F4/80 BV 650 1:300 BioLegend BM8 123149 V13 Ly6G BV 711 1:300 BioLegend 1A8 127643 V14 CD3 BV 750 1:300 BioLegend 17A2 100249 V15 CD206 BV 785 1:200 BioLegend C068C2 141729 Blue B1 mtDendra2 n/a n/a n/a n/a n/a B2 TCRb AF 488 1:300 BioLegend H57-597 109215 B3 CD8 Spark Blue 550 1:300 BioLegend 53-6.7 100780 B8 CD45 PerCP 1:200 BioLegend 30-F11 103130 B9 CD71 PerCP-Cy5.5 1:200 BioLegend RI7217 113816 B10 NKp46 PerCP-eFluor710 1:200 eBioscience 29A1.4 46-3351-82 Green YG1 TCRgd PE 1:300 BioLegend GL3 118108 YG3 CD64 PE/Dazzle 594 1:300 BioLegend X54-5/7.1 139320 YG4 CD4 PE/Fire 640 1:300 BioLegend GK1.5 100482 YG5 CD62L PE-Cyanine5 1:300 BioLegend MEL-14 104410 YG7 CD11c PE-Cyanine5.5 1:300 eBioscience N418 35-0114-82 YG9 CD25 PE/Cyanine7 1:200 BioLegend PC61 102016 Red R1 CD9 APC 1:300 BioLegend MZ3 124812 R2 CD127 AF 647 1:200 BioLegend A7R34 135020 R3 CD19 Spark NIR 550 1:300 BioLegend 6D5 115568 R4 CD90.2 AF 700 1:300 BioLegend 30-H12 105320 R5 CD5 BUV 737 1:300 BD Horizon 53-7-3 612809 R6 Viability dye Zombie NIR 1:1,000 BioLegend n/a 423106 R7 NK1.1 APC/Fire 750 1:300 BioLegend PK136 108752 R8 B220 APC/Fire 810 1:300 BioLegend RA3-6B2 103278
DOI: 10.6084/m9.figshare.20669925
title: Origin data file with processed data and plots

description: Processed dataset and plots
DOI: 10.5281/zenodo.4708028
title: Coding data to accompany "A quantitative approach to sociotopography in Austronesian languages"

description: Dataset consists of csv files with sample languages identified by name and Glottocode. Coding for four sociolinguistic variables, as well as an overall "orientation type." Each file corresponds to a different method for coding languages employing multiple spatial orientation strategies, as described in the document coding.pdf. <strong>Orientation type</strong> land-sea = axis oriented orthogonal to the coast, based on opposition between landward (inland) and seaward (toward the coast), regardless of whether these terms reflect PAN *daya and *lahud land-sea* = land-sea systems in which the land-sea opposition is indistinguishable from geophysical elevation coastal = axis oriented parallel to the coast, often but not necessarily co-lexified with vertical `up' and `down' elevation = axis that distinguishes global or geophysical elevation with respect to deictic center riverine = axis oriented parallel to the river, typically with secondary axis orientated orthogonal to river cardinal = axis fixed according to conventions which do not vary with local geography (although they may be motivated by environmental factors such as wind and the sun) <strong>Distribution</strong> distributed island village <strong>Economy</strong> diversified agriculture subsistence <strong>Geography</strong> diversified inland coast <strong>Terrain</strong> mountainous non-mountainous
DOI: 10.5281/zenodo.4708029
title: Coding data to accompany "A quantitative approach to sociotopography in Austronesian languages"

description: Dataset consists of csv files with sample languages identified by name and Glottocode. Coding for four sociolinguistic variables, as well as an overall "orientation type." Each file corresponds to a different method for coding languages employing multiple spatial orientation strategies, as described in the document coding.pdf. <strong>Orientation type</strong> land-sea = axis oriented orthogonal to the coast, based on opposition between landward (inland) and seaward (toward the coast), regardless of whether these terms reflect PAN *daya and *lahud land-sea* = land-sea systems in which the land-sea opposition is indistinguishable from geophysical elevation coastal = axis oriented parallel to the coast, often but not necessarily co-lexified with vertical `up' and `down' elevation = axis that distinguishes global or geophysical elevation with respect to deictic center riverine = axis oriented parallel to the river, typically with secondary axis orientated orthogonal to river cardinal = axis fixed according to conventions which do not vary with local geography (although they may be motivated by environmental factors such as wind and the sun) <strong>Distribution</strong> distributed island village <strong>Economy</strong> diversified agriculture subsistence <strong>Geography</strong> diversified inland coast <strong>Terrain</strong> mountainous non-mountainous
DOI: 10.6084/m9.figshare.20669979
title: Unprocessed SEM images

description: unprocessed SEM images from slice and view scans -- see paper for details on image processing and segmentation steps taken to extract quantitative data
DOI: 10.6084/m9.figshare.20670018
title: Meshes of pores

description: stl files of cubic meshes of pores identified from FIB-SEM tomography scans
DOI: 10.17894/ucph.63bd67ff-54db-44e5-b713-284c9ad83d97
title: Geochemical data from Kinnekulle carbonates, Middle Ordovician
DOI: 10.25574/16299
title: Chandra X-ray Observatory ObsId 16299

description: A Multi-wavelength campaign to study the Jovian aurora and the Io plasma torus
DOI: 10.25574/16300
title: Chandra X-ray Observatory ObsId 16300

description: A Multi-wavelength campaign to study the Jovian aurora and the Io plasma torus
DOI: 10.25574/16310
title: Chandra X-ray Observatory ObsId 16310

description: A Warm Absorber Study of Mk 766
DOI: 10.25574/16313
title: Chandra X-ray Observatory ObsId 16313

description: The nature of the super-soft X-ray emission of SMC3
DOI: 10.25574/16374
title: Chandra X-ray Observatory ObsId 16374

description: AO-15 Calibration Observations of HZ43
DOI: 10.25574/16375
title: Chandra X-ray Observatory ObsId 16375

description: AO-15 LETG/HRC-S Calibration Observations of HZ43
DOI: 10.25574/16406
title: Chandra X-ray Observatory ObsId 16406

description: AO-15 Calibration Observations to Monitor the Spatial Variations in the HRC-S Gain
DOI: 10.25574/16407
title: Chandra X-ray Observatory ObsId 16407

description: AO-15 Calibration Observations to Monitor the Spatial Variations in the HRC-S Gain
DOI: 10.25574/16408
title: Chandra X-ray Observatory ObsId 16408

description: AO-15 Calibration Observations to Monitor the Spatial Variations in the HRC-S Gain
DOI: 10.25574/16409
title: Chandra X-ray Observatory ObsId 16409

description: AO-15 Calibration Observations to Monitor the Spatial Variations in the HRC-S Gain
DOI: 10.25574/16410
title: Chandra X-ray Observatory ObsId 16410

description: AO-15 Calibration Observations to Monitor the Spatial Variations in the HRC-S Gain
DOI: 10.25574/16411
title: Chandra X-ray Observatory ObsId 16411

description: AO-15 Calibration Observations to Monitor the Spatial Variations in the HRC-S Gain
DOI: 10.25574/16412
title: Chandra X-ray Observatory ObsId 16412

description: AO-15 Calibration Observations to Monitor the Spatial Variations in the HRC-S Gain
DOI: 10.25574/16413
title: Chandra X-ray Observatory ObsId 16413

description: AO-15 Calibration Observations to Monitor the Spatial Variations in the HRC-S Gain
DOI: 10.25574/16414
title: Chandra X-ray Observatory ObsId 16414

description: AO-15 Calibration Observations to Monitor the Spatial Variations in the HRC-S Gain
DOI: 10.25574/16415
title: Chandra X-ray Observatory ObsId 16415

description: AO-15 Calibration Observations to Monitor the Spatial Variations in the HRC-S Gain
DOI: 10.25574/16416
title: Chandra X-ray Observatory ObsId 16416

description: AO-15 Calibration Observations to Monitor the Spatial Variations in the HRC-S Gain
DOI: 10.25574/16417
title: Chandra X-ray Observatory ObsId 16417

description: AO-15 Calibration Observations to Monitor the Spatial Variations in the HRC-S Gain
DOI: 10.25574/16426
title: Chandra X-ray Observatory ObsId 16426

description: AO-15 Calibration Observations of Mkn421
DOI: 10.25574/16428
title: Chandra X-ray Observatory ObsId 16428

description: AO-15 Calibration Observations of Mkn421
DOI: 10.25574/16430
title: Chandra X-ray Observatory ObsId 16430

description: AO-15 Calibration Observations of Mkn421
DOI: 10.34740/kaggle/dsv/4125880
title: Cost of Living | 50k Tweets - ENG | Aug 2022
DOI: 10.25574/16480
title: Chandra X-ray Observatory ObsId 16480

description: AO-15 Measurements of the optical/UV Transmission of the HRC Filters.
DOI: 10.25574/16481
title: Chandra X-ray Observatory ObsId 16481

description: AO-15 Measurements of the optical/UV Transmission of the HRC Filters.
DOI: 10.25574/16482
title: Chandra X-ray Observatory ObsId 16482

description: AO-15 Measurements of the optical/UV Transmission of the HRC Filters.
DOI: 10.25574/16483
title: Chandra X-ray Observatory ObsId 16483

description: AO-15 Measurements of the optical/UV Transmission of the HRC Filters.
DOI: 10.25574/16493
title: Chandra X-ray Observatory ObsId 16493

description: Plumbing the Heights of the Solar Wind With Comet ISON
DOI: 10.6084/m9.figshare.20670378
title: Impacts of green crab (Carcinus maenas, L. 1758) invasion on the intertidal food web at the Patagonia rocky shore (Golfo Nuevo, Argentina)

description: Database from the pre-print: "Impacts of green crab (Carcinus maenas, L. 1758) invasion on the intertidal food web at the Patagonia rocky shore (Golfo Nuevo, Argentina)" by Georgina Cordone, David E. Galván and Fernando R. Momo
DOI: 10.6084/m9.figshare.20670378.v1
title: Impacts of green crab (Carcinus maenas, L. 1758) invasion on the intertidal food web at the Patagonia rocky shore (Golfo Nuevo, Argentina)

description: Database from the pre-print: "Impacts of green crab (Carcinus maenas, L. 1758) invasion on the intertidal food web at the Patagonia rocky shore (Golfo Nuevo, Argentina)" by Georgina Cordone, David E. Galván and Fernando R. Momo
DOI: 10.25574/16494
title: Chandra X-ray Observatory ObsId 16494

description: Plumbing the Heights of the Solar Wind With Comet ISON