cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25582/data.2022-06.2535961/2120163
title: Data for EMSL Project 51287 from June 2022
DOI: 10.25582/data.2022-06.2536073/2120164
title: Data for EMSL Project 51287 from June 2022
DOI: 10.25582/data.2022-06.2535786/2120165
title: Data for EMSL Project 51287 from June 2022
DOI: 10.25582/data.2022-06.2546405/2120166
title: Data for EMSL Project 51287 from June 2022
DOI: 10.25582/data.2022-06.2545681/2120167
title: Data for EMSL Project 51287 from June 2022
DOI: 10.25582/data.2022-06.2542141/2120168
title: Data for EMSL Project 51287 from June 2022
DOI: 10.25582/data.2022-06.2536908/2120169
title: Data for EMSL Project 51287 from June 2022
DOI: 10.25582/data.2022-06.2536085/2120170
title: Data for EMSL Project 51287 from June 2022
DOI: 10.25582/data.2022-07.2548586/2120171
title: Data for EMSL Project 51287 from July 2022
DOI: 10.25582/data.2022-06.2546657/2120172
title: Data for EMSL Project 51287 from June 2022
DOI: 10.25582/data.2022-06.2543844/2120173
title: Data for EMSL Project 51287 from June 2022
DOI: 10.25582/data.2022-06.2546466/2120174
title: Data for EMSL Project 51287 from June 2022
DOI: 10.25582/data.2022-06.2546300/2120175
title: Data for EMSL Project 51287 from June 2022
DOI: 10.25582/data.2022-06.2544090/2120176
title: Data for EMSL Project 51287 from June 2022
DOI: 10.25582/data.2022-06.2535873/2120177
title: Data for EMSL Project 51287 from June 2022
DOI: 10.25582/data.2022-06.2542986/2120178
title: Data for EMSL Project 51287 from June 2022
DOI: 10.25582/data.2022-06.2546386/2120179
title: Data for EMSL Project 51287 from June 2022
DOI: 10.25582/data.2022-06.2546274/2120180
title: Data for EMSL Project 51287 from June 2022
DOI: 10.25582/data.2022-06.2536905/2120181
title: Data for EMSL Project 51287 from June 2022
DOI: 10.25582/data.2022-06.2546541/2120182
title: Data for EMSL Project 51287 from June 2022
DOI: 10.25582/data.2022-06.2536037/2120183
title: Data for EMSL Project 51287 from June 2022
DOI: 10.25582/data.2022-06.2542351/2120184
title: Data for EMSL Project 51287 from June 2022
DOI: 10.25582/data.2022-06.2536660/2120185
title: Data for EMSL Project 51287 from June 2022
DOI: 10.25582/data.2022-06.2535329/2120186
title: Data for EMSL Project 51287 from June 2022
DOI: 10.25582/data.2022-06.2546433/2120187
title: Data for EMSL Project 51287 from June 2022
DOI: 10.25582/data.2022-06.2546148/2120188
title: Data for EMSL Project 51287 from June 2022
DOI: 10.25582/data.2022-06.2546093/2120189
title: Data for EMSL Project 51287 from June 2022
DOI: 10.25582/data.2022-06.2546412/2120190
title: Data for EMSL Project 51287 from June 2022
DOI: 10.25582/data.2022-06.2546356/2120191
title: Data for EMSL Project 51287 from June 2022
DOI: 10.25582/data.2022-06.2546354/2120192
title: Data for EMSL Project 51287 from June 2022
DOI: 10.25582/data.2022-06.2544839/2120193
title: Data for EMSL Project 51287 from June 2022
DOI: 10.25582/data.2022-06.2546925/2120194
title: Data for EMSL Project 51287 from June 2022
DOI: 10.25582/data.2022-06.2542133/2120195
title: Data for EMSL Project 51287 from June 2022
DOI: 10.25582/data.2022-06.2546707/2120196
title: Data for EMSL Project 51287 from June 2022
DOI: 10.25582/data.2022-06.2546490/2120197
title: Data for EMSL Project 51287 from June 2022
DOI: 10.25582/data.2022-06.2546437/2120198
title: Data for EMSL Project 51287 from June 2022
DOI: 10.25582/data.2022-06.2546298/2120199
title: Data for EMSL Project 51287 from June 2022
DOI: 10.25582/data.2022-06.2536881/2120200
title: Data for EMSL Project 51287 from June 2022
DOI: 10.25582/data.2022-06.2546850/2120201
title: Data for EMSL Project 51287 from June 2022
DOI: 10.25582/data.2022-06.2546815/2120202
title: Data for EMSL Project 51287 from June 2022
DOI: 10.25582/data.2022-06.2546302/2120203
title: Data for EMSL Project 51287 from June 2022
DOI: 10.25582/data.2022-06.2536972/2120204
title: Data for EMSL Project 51287 from June 2022
DOI: 10.25582/data.2022-06.2545680/2120205
title: Data for EMSL Project 51287 from June 2022
DOI: 10.25582/data.2022-06.2542138/2120206
title: Data for EMSL Project 51287 from June 2022
DOI: 10.25582/data.2022-06.2543206/2120207
title: Data for EMSL Project 51287 from June 2022
DOI: 10.25582/data.2022-06.2546428/2120208
title: Data for EMSL Project 51287 from June 2022
DOI: 10.25582/data.2022-06.2542157/2120209
title: Data for EMSL Project 51287 from June 2022
DOI: 10.25582/data.2022-06.2544278/2120210
title: Data for EMSL Project 51287 from June 2022
DOI: 10.6084/m9.figshare.24159120
title: Untitled IteTranscriptome Analysis of <i>Artemisia argyi</i> following Methyl Jasmonate (MeJA) Treatment and the Mining of Genes Related to the Stress Resistance Pathwaym

description: These data were transcriptome data of <i>Artemisia argyi</i> before and after exogenous MeJA treatment.<br><br>
DOI: 10.25582/data.2022-06.2545868/2120211
title: Data for EMSL Project 51287 from June 2022
DOI: 10.25582/data.2022-06.2546467/2120212
title: Data for EMSL Project 51287 from June 2022
DOI: 10.25582/data.2022-06.2543644/2120213
title: Data for EMSL Project 51287 from June 2022
DOI: 10.25582/data.2022-06.2546570/2120214
title: Data for EMSL Project 51287 from June 2022
DOI: 10.25582/data.2022-06.2535170/2120215
title: Data for EMSL Project 51287 from June 2022
DOI: 10.25582/data.2022-06.2537365/2120216
title: Data for EMSL Project 51287 from June 2022
DOI: 10.25582/data.2022-06.2535050/2120217
title: Data for EMSL Project 51287 from June 2022
DOI: 10.25582/data.2022-06.2541410/2120218
title: Data for EMSL Project 51287 from June 2022
DOI: 10.25582/data.2022-06.2537826/2120219
title: Data for EMSL Project 51287 from June 2022
DOI: 10.25582/data.2022-06.2541730/2120220
title: Data for EMSL Project 51287 from June 2022
DOI: 10.25582/data.2022-06.2537819/2120221
title: Data for EMSL Project 51287 from June 2022
DOI: 10.25582/data.2022-06.2535184/2120222
title: Data for EMSL Project 51287 from June 2022
DOI: 10.25582/data.2022-06.2534743/2120223
title: Data for EMSL Project 51287 from June 2022
DOI: 10.25582/data.2022-06.2537209/2120224
title: Data for EMSL Project 51287 from June 2022
DOI: 10.25582/data.2022-06.2537045/2120225
title: Data for EMSL Project 51287 from June 2022
DOI: 10.25582/data.2022-06.2537789/2120226
title: Data for EMSL Project 51287 from June 2022
DOI: 10.25582/data.2022-06.2537917/2120227
title: Data for EMSL Project 51287 from June 2022
DOI: 10.25582/data.2022-06.2537329/2120228
title: Data for EMSL Project 51287 from June 2022
DOI: 10.25582/data.2022-06.2535771/2120229
title: Data for EMSL Project 51287 from June 2022
DOI: 10.25582/data.2022-06.2537320/2120230
title: Data for EMSL Project 51287 from June 2022
DOI: 10.25582/data.2022-06.2539186/2120231
title: Data for EMSL Project 51287 from June 2022
DOI: 10.25582/data.2022-06.2535723/2120232
title: Data for EMSL Project 51287 from June 2022
DOI: 10.25582/data.2022-06.2534725/2120233
title: Data for EMSL Project 51287 from June 2022
DOI: 10.25582/data.2022-06.2542113/2120234
title: Data for EMSL Project 51287 from June 2022
DOI: 10.25582/data.2022-06.2535366/2120235
title: Data for EMSL Project 51287 from June 2022
DOI: 10.25582/data.2022-06.2540658/2120236
title: Data for EMSL Project 51287 from June 2022
DOI: 10.25582/data.2022-06.2540617/2120237
title: Data for EMSL Project 51287 from June 2022
DOI: 10.25582/data.2022-06.2542081/2120238
title: Data for EMSL Project 51287 from June 2022
DOI: 10.25582/data.2022-06.2542079/2120239
title: Data for EMSL Project 51287 from June 2022
DOI: 10.6084/m9.figshare.24417715
title: <b>Cognitive Function, Balance, Mobility, and Life Quality</b>

description: Dance interventions, Cognitive function, Quality of life, Older adults, Network meta-analysis
DOI: 10.6084/m9.figshare.24417715.v1
title: <b>Cognitive Function, Balance, Mobility, and Life Quality</b>

description: Dance interventions, Cognitive function, Quality of life, Older adults, Network meta-analysis
DOI: 10.34933/403d99aa-17e2-4f67-95a4-5de13681439c
title: Data for: Photovoltaic fields largely outperform afforestation efficiency in global climate-change mitigation strategies
DOI: 10.5281/zenodo.10029916
title: Seasonal suitability maps of migratory butterflies

description: We created seasonal habitat suitability maps for migratory butterflies. The manuscript is now in review in PNAS. Once the manuscript is published, I will update all the publication-related information.
DOI: 10.5281/zenodo.10029917
title: Seasonal suitability maps of migratory butterflies

description: We created seasonal habitat suitability maps for migratory butterflies. The manuscript is now in review in PNAS. Once the manuscript is published, I will update all the publication-related information.
DOI: 10.7910/dvn/avcvls
title: YOLOv5_FPC-Extracted Four-Panel-Cartoon (FPC) from Chosun Ilbo News Library Archive

description: This dataset consists of 1035 JPEG files, encompassing 1040 Four-Panel-Cartoon (FPC) objects. These were identified from a larger set of 47,777 files in the Chosun Ilbo Newspaper Digital Archives covering the period from 1920 to 1940, which can be accessed at https://newslibrary.chosun.com/. The image extraction process was automated using the YOLOv5_FPC model, a fine-tuned iteration of the YOLOv5 model.
DOI: 10.5281/zenodo.10030952
title: Indicative distribution map for Ecosystem Functional Group T1.4 Tropical heath forests

description: This archive contains indicative distribution maps and profiles for T1.4 Tropical heath forests, a ecosystem functional group (EFG, level 3) of the IUCN Global Ecosystem Typology (v2.0). Please refer to Keith et al. (2020) for details.


The descriptive profiles provide brief summaries of key ecological traits and processes, maps are indicative of global distribution patterns, and are not intended to represent fine-scale patterns. The maps show areas of the world containing major (value of 1, coloured red) or minor occurrences (value of 2, coloured yellow) of each ecosystem functional group. Minor occurrences are areas where an ecosystem functional group is scattered in patches within matrices of other ecosystem functional groups or where they occur in substantial areas, but only within a segment of a larger region. Given bounds of resolution and accuracy of source data, the maps should be used to query which EFG are likely to occur within areas, rather than which occur at particular point locations. Detailed methods and references for the maps are included in the profile (xml format).
DOI: 10.5281/zenodo.5091126
title: Indicative distribution map for Ecosystem Functional Group T1.4 Tropical heath forests

description: This archive contains indicative distribution maps and profiles for T1.4 Tropical heath forests, a ecosystem functional group (EFG, level 3) of the IUCN Global Ecosystem Typology (v2.0). Please refer to Keith et al. (2020) for details.


The descriptive profiles provide brief summaries of key ecological traits and processes, maps are indicative of global distribution patterns, and are not intended to represent fine-scale patterns. The maps show areas of the world containing major (value of 1, coloured red) or minor occurrences (value of 2, coloured yellow) of each ecosystem functional group. Minor occurrences are areas where an ecosystem functional group is scattered in patches within matrices of other ecosystem functional groups or where they occur in substantial areas, but only within a segment of a larger region. Given bounds of resolution and accuracy of source data, the maps should be used to query which EFG are likely to occur within areas, rather than which occur at particular point locations. Detailed methods and references for the maps are included in the profile (xml format).
DOI: 10.5281/zenodo.5091127
title: Indicative distribution map for Ecosystem Functional Group T1.4 Tropical heath forests

description: This archive contains indicative distribution maps and profiles for <strong>T1.4 Tropical heath forests</strong>, a ecosystem functional group (EFG, level 3) of the IUCN Global Ecosystem Typology (v2.0). Please refer to Keith <em>et al.</em> (2020) for details. The descriptive profiles provide brief summaries of key ecological traits and processes, maps are indicative of global distribution patterns, and are not intended to represent fine-scale patterns. The maps show areas of the world containing major (value of 1, coloured red) or minor occurrences (value of 2, coloured yellow) of each ecosystem functional group. Minor occurrences are areas where an ecosystem functional group is scattered in patches within matrices of other ecosystem functional groups or where they occur in substantial areas, but only within a segment of a larger region. Given bounds of resolution and accuracy of source data, the maps should be used to query which EFG are likely to occur within areas, rather than which occur at particular point locations. Detailed methods and references for the maps are included in the profile (xml format).
description: This dataset is part of the publication: Keith DA, Ferrer-Paris JR, Nicholson E, Kingsford RT (Eds.) (2020) 'The IUCN Global Ecosystem Typology v2.0: Descriptive profiles for Biomes and Ecosystem Functional Groups'. The International Union for the Conservation of Nature (IUCN), Gland. DOI:10.2305/IUCN.CH.2020.13.en. DAK, & JRFP were supported by ARC Linkage Grants LP170101143 and LP180100159 and the MAVA Foundation.
DOI: 10.34740/kaggle/dsv/6762725
title: AutoXGB
DOI: 10.34740/kaggle/dsv/6762727
title: OnlineFree
DOI: 10.34740/kaggle/dsv/6762807
title: Egypt Gold Prices | Daily Updated
DOI: 10.17188/1291638
title: Materials Data on Cu2O3 by Materials Project

description: Cu2O3 crystallizes in the monoclinic Cc space group. The structure is three-dimensional. there are two inequivalent Cu3+ sites. In the first Cu3+ site, Cu3+ is bonded in a rectangular see-saw-like geometry to four O2- atoms. There are a spread of Cu–O bond distances ranging from 1.83–1.91 Å. In the second Cu3+ site, Cu3+ is bonded in a rectangular see-saw-like geometry to four O2- atoms. There are a spread of Cu–O bond distances ranging from 1.84–1.91 Å. There are three inequivalent O2- sites. In the first O2- site, O2- is bonded in a water-like geometry to two Cu3+ atoms. In the second O2- site, O2- is bonded in a trigonal non-coplanar geometry to three Cu3+ atoms. In the third O2- site, O2- is bonded in a trigonal non-coplanar geometry to three Cu3+ atoms.
DOI: 10.18141/1762415
title: NETL Electrical Conductivity Relaxation(ECR) Analysis Tool

description: This application was developed within the solid oxide fuel cell (SOFC) work plan. It calculates the oxygen surface exchange coefficient (k) and oxygen diffusion coefficient (D) for an oxide sample using electrical conductivity relaxation (ECR) data. The tool also produces a heat map showing the associated uncertainty in fitting the ECR data for given pairs of k and D values, so the user can determine the most likely range of k and D values for the tested values. Multiple datasets for the same material can be plotted to decrease uncertainty. The tool can also simulate ECR curves for inputted k and D values and overlay the simulated curves with experimental data for comparison.
DOI: 10.5281/zenodo.4734552
title: Thai depression detection dataset and baseline models

description: Depression detection dataset and baseline models. If you are only interested in the dataset, download data.zip. Please cite: Hämäläinen, M., Patpong, P., Alnajjar, K., Partanen, N. & Rueter, J. (2021) Detecting Depression in Thai Blog Posts: a Dataset and a Baseline. In <em>Proceedings of the 7th Workshop on Noisy User-generated Text (W-NUT 2021)</em>.
DOI: 10.5281/zenodo.7515222
title: RazanGhzouli/Behavior-Trees-dataset

description: This release contains data for my TSE journal publication Behavior Trees and State Machines in Robotics Applications
DOI: 10.13020/cgy7-2564
title: Leaf and canopy spectra, symptom progression, and physiological data from experimental detection of oak wilt in oak seedlings

description: These data were collected as part of an experimental effort to accurately detect oak wilt infections in oak seedlings using remote sensing tools and to differentiate that disease stress from other mechanisms of tree decline. Oak wilt disease causes rapid mortality in oaks in the central and eastern United States. Management of the disease requires early diagnosis and tree removal to prevent fungal spread. Hyperspectral tools provide a potential method of early remote diagnosis, but accurately differentiating oak wilt from other agents of oak decline is integral to effective management. We conducted experiments (2017 and 2018) on two year old seedlings of Quercus ellipsoidalis and Q. macrocarpa in which treatments were 1) maintained as healthy individuals, 2) subjected to chronic drought, or inoculated 3) stems with oak wilt fungus (Bretziella fagacearum, a fungal vascular wilt) or 4) leaves with bur oak blight fungus (Tubakia iowensis, a fungal leaf pathogen).  We measured leaf and whole plant hyperspectral reflectance (350 to 2400nm, Spectra Vista HR 1024i spectroradiometer (Spectra Vista Corporation, New York, USA)), gas exchange (LI-6440XT with a leaf chamber fluorometer attachment (LI-COR Environmental, Nebraska, USA)), and tracked symptom development in repeated measures of seedlings over the course of each experiment. In 2018, we explicitly measured spectral reflectance and gas exchange on both symptomatic and green leaves, as available and we also measured collected thermal images of leaves twice during the experiment (2018 only).
DOI: 10.17188/1199153
title: Materials Data on Ni by Materials Project

description: Ni is Copper structured and crystallizes in the cubic Fm-3m space group. The structure is three-dimensional. Ni is bonded to twelve equivalent Ni atoms to form a mixture of corner, edge, and face-sharing NiNi12 cuboctahedra. All Ni–Ni bond lengths are 2.48 Å.
DOI: 10.5281/zenodo.8220719
title: PCA scores from contemporary Egyptian and Old Kingdom Egypt sample used for testing method by Musilová et al.(2016)

description: Presented datasets consist of separate <strong>.csv</strong> files, that contain PCA scores and information about sex and population affinity. Each sample (Old Kingdom, contemporary Egypt, pooled sample etc.) has two files with PCA scores, one for shape and for form (shape + size together) as well as separate .csv file with information about sex/population. PCA scores were obtained after principal component analysis was applied to each dataset, that consisted of 3D models of skulls. PCA scores together with information about sex/population were used for training SVM for classification of sex and population. Details about samples bellow. The contemporary Egypt sample consists 96 CT scans, 49 males and 47 females, 3D models were obtained from DICOM data using Avizo. The Old Kingdom period sample consists of 54 3D models of skulls of individuals from Abusir and Giza, specifically 32 males and 22 females. 3D data from both samples are stored at the Laboratory of 3D Imaging and Analytical Methods, Department of Anthropology and Human Genetics, Faculty of Science, Charles university. Presented datasets were assembled and used as a part of study focused on testing the reliability of sex estimation method developed by Musilová et al.(2016) on non-European population. The datasets are made publicly available to enable reproducibility of the aforementioned work and to ensure data sharing and engagment for other studies focused on sex estimation using skull.
DOI: 10.6069/qaz7-6505
title: Global Tobacco Control and Smoking Prevalence Scenarios 2017

description: This dataset contains predicted 2017 smoking prevalence levels under unrealized tobacco control policy scenarios: 1) If WHO-attributed country achievement scores for select components of its MPOWER policy (smoke-free (P), health warnings (W), and advertising (E)), and cigarette’s affordability (RIP) remained at the level they were at in 2008; 2) If the price of a cigarette pack was I$7.73 or higher; 3) If all countries had implemented each of the P, W, and E policies at the highest level; and 4) If countries had implemented both higher cigarette prices and P, W, and E policies at the highest level. Results were produced by sex and age group globally and for 155 countries. The dataset also includes data used to produce the counterfactual analysis, including GBD 2017 smoking prevalence estimates, different tobacco control policy indicators, cigarette prices and affordability, and more.
DOI: 10.5517/ccdc.csd.cc2dkn8x
title: CCDC 2221499: Experimental Crystal Structure Determination

description: Related Article: Fuyan Ma, Khalil A. Abboud, Chenjie Zeng|2023|Nat. Synth.|2|949|doi:10.1038/s44160-023-00330-6
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: 10.5517/ccdc.csd.cc2dkn9y
title: CCDC 2221500: Experimental Crystal Structure Determination

description: Related Article: Fuyan Ma, Khalil A. Abboud, Chenjie Zeng|2023|Nat. Synth.|2|949|doi:10.1038/s44160-023-00330-6
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: 10.17632/kxkwbttbxj.1
title: OVAC

description: Analysis of the function of the OVAC methyltransferase in Arabidopsis including branching, secondary xylem phenotypes, rRNA modification, tuber development.
DOI: 10.5517/ccdc.csd.cc2dkn7w
title: CCDC 2221498: Experimental Crystal Structure Determination

description: Related Article: Fuyan Ma, Khalil A. Abboud, Chenjie Zeng|2023|Nat. Synth.|2|949|doi:10.1038/s44160-023-00330-6
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: 10.6084/m9.figshare.24417802
title: Data for single nucleotide polymorphisms (SNPs) of 13 <i>Sassafras tzumu</i> (Lauraceae) populations with 106 individuals

description: Through reduced-representation genome sequencing of 106 individuals from 13 <i>Sassafras tzumu</i> (Lauraceae) populations, we obtained 11,862 single nucleotide polymorphisms (SNPs) data. We converted the vcf file of this data into a txt file, which was used for genetic differentiation, genetic diversity, and genetic structure analysis.
DOI: 10.6084/m9.figshare.24417802.v1
title: Data for single nucleotide polymorphisms (SNPs) of 13 <i>Sassafras tzumu</i> (Lauraceae) populations with 106 individuals

description: Through reduced-representation genome sequencing of 106 individuals from 13 <i>Sassafras tzumu</i> (Lauraceae) populations, we obtained 11,862 single nucleotide polymorphisms (SNPs) data. We converted the vcf file of this data into a txt file, which was used for genetic differentiation, genetic diversity, and genetic structure analysis.
DOI: 10.5517/ccdc.csd.cc2frg0p
title: CCDC 2256862: Experimental Crystal Structure Determination

description: Related Article: Jasbir Kaur Mahey, Chunilal B. Pawara, Sumit B. Kamble|2023|New J.Chem.|47|18419|doi:10.1039/D3NJ03163B
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.