cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7007502
title: GSHHG: Global Self-consistent Hierarchical High-resolution Geography

description: Global Self-consistent, Hierarchical, High-resolution Geography Database (GSHHG) is a high-resolution geography data set, amalgamated from two databases: World Vector Shorelines (WVS) and CIA World Data Bank II (WDBII). The former is the basis for shorelines while the latter is the basis for lakes, although there are instances where differences in coastline representations necessitated adding WDBII islands to GSHHG. The WDBII source also provides political borders and rivers. GSHHG data have undergone extensive processing and should be free of internal inconsistencies such as erratic points and crossing segments. The shorelines are constructed entirely from hierarchically arranged closed polygons.GSHHG combines the older GSHHS shoreline database with WDBII rivers and borders, available in either ESRI shapefile format or in a native binary format. Geography data are in five resolutions: crude(c), low(l), intermediate(i), high(h), and full(f). Shorelines are organized into four levels: boundary between land and ocean (L1), boundary between lake and land (L2), boundary between island-in-lake and lake (L3), and boundary between pond-in-island and island (L4). Datasets are in WGS84 geographic (simple latitudes and longitudes; decimal degrees).

GSHHG is released under the GNU Lesser General Public license, and is developed and maintained by Dr. Paul Wessel, SOEST, University of Hawai'i, and Dr. Walter H. F. Smith, NOAA Laboratory for Satellite Altimetry. Please notify Dr. Paul Wessel and Dr. Walter H.F. Smith if any changes are made to the GSHHG data set for commercial use.

Processing and assembly of the GSHHG data:Wessel, P., and W. H. F. Smith (1996), A global, self-consistent, hierarchical, high-resolution shoreline database, J. Geophys. Res., 101(B4), 8741–8743, doi:10.1029/96JB00104.
DOI: 10.5281/zenodo.8230576
title: MOST-GAN Pre-trained Model

description: Introduction


Recent advances in generative adversarial networks (GANs) have led to remarkable achievements in face image synthesis. While methods that use style-based GANs can generate strikingly photorealistic face images, it is often difficult to control the characteristics of the generated faces in a meaningful and disentangled way. Prior approaches aim to achieve such semantic control and disentanglement within the latent space of a previously trained GAN. In contrast, we propose a framework that a priori models physical attributes of the face such as 3D shape, albedo, pose, and lighting explicitly, thus providing disentanglement by design. Our method, MOST-GAN, integrates the expressive power and photorealism of style-based GANs with the physical disentanglement and flexibility of nonlinear 3D morphable models, which we couple with a state-of-the-art 2D hair manipulation network. MOST-GAN achieves photorealistic manipulation of portrait images with fully disentangled 3D control over their physical attributes, enabling extreme manipulation of lighting, facial expression, and pose variations up to full profile view. 


To foster further research into this topic, we are publicly releasing our pre-trained model for MOST-GAN. Please see our AAAI paper titled [MOST-GAN: 3D Morphable StyleGAN for Disentangled Face Image Manipulation](https://arxiv.org/abs/2111.01048) for details.


At a Glance


-The size of the unzipped model is ~300MB.


-The unzipped folder contains: (i) a README.md file and (ii) ./checkpoints/checkpoint01.pt pre-trained model. The pre-trained model could be loaded in our publicly released MOST-GAN implementation.


Citation


If you use the MOST-GAN data in your research, please cite our paper:


@inproceedings{medin2022most,
  title={MOST-GAN: 3D morphable StyleGAN for disentangled face image manipulation},
  author={Medin, Safa C and Egger, Bernhard and Cherian, Anoop and Wang, Ye and Tenenbaum, Joshua B and Liu, Xiaoming and Marks, Tim K},
  booktitle={Proceedings of the AAAI conference on artificial intelligence},
  volume={36},
  number={2},
  pages={1962--1971},
  year={2022}
}



License


The MOST-GAN data is released under CC-BY-SA-4.0 license.


All data:


Created by Mitsubishi Electric Research Laboratories (MERL), 2022,2023
 
SPDX-License-Identifier: CC-BY-SA-4.0
DOI: 10.5281/zenodo.8230577
title: MOST-GAN Pre-trained Model

description: Introduction


Recent advances in generative adversarial networks (GANs) have led to remarkable achievements in face image synthesis. While methods that use style-based GANs can generate strikingly photorealistic face images, it is often difficult to control the characteristics of the generated faces in a meaningful and disentangled way. Prior approaches aim to achieve such semantic control and disentanglement within the latent space of a previously trained GAN. In contrast, we propose a framework that a priori models physical attributes of the face such as 3D shape, albedo, pose, and lighting explicitly, thus providing disentanglement by design. Our method, MOST-GAN, integrates the expressive power and photorealism of style-based GANs with the physical disentanglement and flexibility of nonlinear 3D morphable models, which we couple with a state-of-the-art 2D hair manipulation network. MOST-GAN achieves photorealistic manipulation of portrait images with fully disentangled 3D control over their physical attributes, enabling extreme manipulation of lighting, facial expression, and pose variations up to full profile view. 


To foster further research into this topic, we are publicly releasing our pre-trained model for MOST-GAN. Please see our AAAI paper titled [MOST-GAN: 3D Morphable StyleGAN for Disentangled Face Image Manipulation](https://arxiv.org/abs/2111.01048) for details.


At a Glance


-The size of the unzipped model is ~300MB.


-The unzipped folder contains: (i) a README.md file and (ii) ./checkpoints/checkpoint01.pt pre-trained model. The pre-trained model could be loaded in our publicly released MOST-GAN implementation.


Citation


If you use the MOST-GAN data in your research, please cite our paper:


@inproceedings{medin2022most,
  title={MOST-GAN: 3D morphable StyleGAN for disentangled face image manipulation},
  author={Medin, Safa C and Egger, Bernhard and Cherian, Anoop and Wang, Ye and Tenenbaum, Joshua B and Liu, Xiaoming and Marks, Tim K},
  booktitle={Proceedings of the AAAI conference on artificial intelligence},
  volume={36},
  number={2},
  pages={1962--1971},
  year={2022}
}



License


The MOST-GAN data is released under CC-BY-SA-4.0 license.


All data:


Created by Mitsubishi Electric Research Laboratories (MERL), 2022,2023
 
SPDX-License-Identifier: CC-BY-SA-4.0
DOI: 10.34740/kaggle/dsv/7940550
title: Forex Exchange Rates Since 2004 (Updated Daily)
DOI: 10.5281/zenodo.10870508
title: SM-FEEL-BG: 4060 Twitter, Telegram and ChatGPT texts

description: This is the largest SM-FEEL-BG dataset, containing all Twitter, Telegram posts manually annotated + the 310 ChatGPT-generated texts
DOI: 10.5281/zenodo.10870509
title: SM-FEEL-BG: 4060 Twitter, Telegram and ChatGPT texts

description: This is the largest SM-FEEL-BG dataset, containing all Twitter, Telegram posts manually annotated + the 310 ChatGPT-generated texts
DOI: 10.6084/m9.figshare.24187284
title: Source data Alseth and Custodio et al. 2024

description: Source data, R and MATLAB code for Alseth and Custodio et al. 2024.
DOI: 10.6084/m9.figshare.24187284.v1
title: Source data Alseth and Custodio et al. 2024

description: Source data, R and MATLAB code for Alseth and Custodio et al. 2024.
DOI: 10.5281/zenodo.10870525
title: SM-FEEL-BG Emotions-Experiment 4 - No FB Dataset Splits

description: This are the splits used for Emotions-Experiment 4 with NO Facebook texts, described in paper:
DOI: 10.5281/zenodo.10870526
title: SM-FEEL-BG Emotions-Experiment 4 - No FB Dataset Splits

description: This are the splits used for Emotions-Experiment 4 with NO Facebook texts, described in paper:
DOI: 10.5281/zenodo.10870535
title: SM-FEEL-BG Sentiments-Experiment 2 - No FB Dataset Splits
DOI: 10.5281/zenodo.10870536
title: SM-FEEL-BG Sentiments-Experiment 2 - No FB Dataset Splits
DOI: 10.5281/zenodo.10864009
title: The Effect of Blood-Flow Restriction Walk Training on Insulin Sensitivity and Aerobic Capacity among Type 2 Diabetes: the raw data and IRB
DOI: 10.5281/zenodo.10864010
title: The Effect of Blood-Flow Restriction Walk Training on Insulin Sensitivity and Aerobic Capacity among Type 2 Diabetes: the raw data and IRB
DOI: 10.34740/kaggle/dsv/7940594
title: Full TMDB Movies Dataset 2024 (1M Movies)
DOI: 10.13012/b2idb-5259667_v1
title: Diversity - PubMed Dataset

description: Diversity - PubMed dataset
Contact: Apratim Mishra (March 22, 2024)

This dataset presents article-level (pmid) and author-level (auid) diversity data for PubMed articles. The selection chosen includes articles retrieved from Authority 2018 [1], a total of 228 040 papers and 440 310 authors. The sample of papers is based on the top 40 journals in the dataset, limited to 2-10 authors published between 1990 – 2010, and stratified on paper count per year. Additionally, this dataset is limited to papers where the lead author is affiliated with one of the four countries: the US, the UK, Canada, and Australia. Files are encoded with ‘utf-8’.
################################################
File1: auids_plos.csv (Important columns defined, 7 in total)
• AUID: a unique ID for each author
• Ethnea: ethnicity prediction
• Genni: gender prediction
#################################################
File2: pmids_plos.csv (Important columns defined, 33 in total)
• pmid: unique paper ID
• year: Year of paper publication
• no_authors: Author count
• journal: Journal name
• years: first year of publication for every author
• age_bin: Binned age for every author
• Country-temporal: Country of affiliation for every author
• h_index: Journal h-index
• TimeNovelty: Paper Time novelty [2]
• nih_funded: Binary variable indicating NIH funding for any author
• prior_cit_mean: Mean of all authors’ prior citation rate
• Insti_impact_all: All authors’ respective institutions’ citation count
• Insti_impact: Maximum of all institutions’ citation count
• mesh_vals: Top MeSH values for every author for that paper
• outer_mesh_vals: MeSH qualifiers for every author for that paper
• relative_citation_ratio: RCR

The ‘Readme’ includes a description for all columns.
[1] Torvik, Vetle; Smalheiser, Neil (2021): Author-ity 2018 - PubMed author name disambiguated dataset. University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-2273402_V1
[2] Mishra, Shubhanshu; Torvik, Vetle I. (2018): Conceptual novelty scores for PubMed articles. University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-5060298_V1
DOI: 10.6084/m9.figshare.25475481
title: Efficient techniques for nonlinear dynamics: a study of fractional generalized quintic Ginzburg-Landau equation

description: In this research, we explore the solution of the fractional Generalized Quintic Complex Ginzburg-Landau equation (GQCGLE) using the Controlled Picard Transform Method. We solve the equation by incorporating the Laplace transform (LT) and the Caputo-Fabrizio fractional derivative (CF). The fractional GQCGLE is a complex-valued equation that exhibits intricate dynamics and plays a significant role in various physical phenomena, particularly in the realm of nonlinear optics. The suggested method can efficiently address a wide variety of differential equations, encompassing both integer and fractional-order equations. This is achieved by integrating an extra parameter that enhances convergence, making it especially suitable for non-linear differential equations. To confirm the precision and convergence of our approach, we validate it by comparing it with other methods, presenting graphical representations to clarify the effects of different parameters on the solution behaviour, and confirming its precision and convergence. The existence and uniqueness of the solutions are also examined.
DOI: 10.6084/m9.figshare.25475481.v1
title: Efficient techniques for nonlinear dynamics: a study of fractional generalized quintic Ginzburg-Landau equation

description: In this research, we explore the solution of the fractional Generalized Quintic Complex Ginzburg-Landau equation (GQCGLE) using the Controlled Picard Transform Method. We solve the equation by incorporating the Laplace transform (LT) and the Caputo-Fabrizio fractional derivative (CF). The fractional GQCGLE is a complex-valued equation that exhibits intricate dynamics and plays a significant role in various physical phenomena, particularly in the realm of nonlinear optics. The suggested method can efficiently address a wide variety of differential equations, encompassing both integer and fractional-order equations. This is achieved by integrating an extra parameter that enhances convergence, making it especially suitable for non-linear differential equations. To confirm the precision and convergence of our approach, we validate it by comparing it with other methods, presenting graphical representations to clarify the effects of different parameters on the solution behaviour, and confirming its precision and convergence. The existence and uniqueness of the solutions are also examined.
DOI: 10.6084/m9.figshare.20449070.v1
title: Telecoupling as a framework to support a more nuanced understanding of causality in land system science

description: This article illustrates the potential of the telecoupling framework to improve causal attribution in land system science (LSS). We shed light on the distinct analytical approaches that have characterized telecoupling research to date, how these can contribute to LSS with new insights, and whether such insights can improve causal attribution. By reviewing 45 empirical telecoupling studies, we firstly demonstrate how telecoupling is applied in a broad variety of ways within LSS and across different disciplines and research topics, albeit with qualitative data and assessments being underrepresented. Secondly, we show that telecoupling is clearer in its contribution to causal attribution when applied explicitly in framework integration or empirical application, rather than when it is included more indirectly as a narrative. Finally, we argue that telecoupling can complement existing LSS theory with a flexible and holistic approach to dealing with the uncertainties and complexities related to attributing causality in a globalized world.
DOI: 10.6084/m9.figshare.20186133
title: Transportation in urban land change models: a systematic review and future directions

description: Urban land change and transportation infrastructure development often interact and collectively lead to significant socioeconomic and biophysical impacts. Here, we performed a systematic review to identify how urban land change modeling studies account for transportation infrastructure. We found that less than one-fifth of urban land modeling studies explicitly incorporated a transportation component. Of these, most incorporated transportation based on relatively simple distance-based variables. Despite the recognized influence of transportation on urban growth, only a few studies attempted to capture the dynamic interaction between the two. We present a conceptual modeling framework and argue for a renewed focus on capturing the dynamic interaction between urban land change and transportation development in modeling studies. Such focus is essential to develop a well-informed understanding of the implications for urban forms and landscapes of the wide-ranging changes in transportation systems that accompany rapid urbanization around the world.
DOI: 10.6084/m9.figshare.20186133.v4
title: Transportation in urban land change models: a systematic review and future directions

description: Urban land change and transportation infrastructure development often interact and collectively lead to significant socioeconomic and biophysical impacts. Here, we performed a systematic review to identify how urban land change modeling studies account for transportation infrastructure. We found that less than one-fifth of urban land modeling studies explicitly incorporated a transportation component. Of these, most incorporated transportation based on relatively simple distance-based variables. Despite the recognized influence of transportation on urban growth, only a few studies attempted to capture the dynamic interaction between the two. We present a conceptual modeling framework and argue for a renewed focus on capturing the dynamic interaction between urban land change and transportation development in modeling studies. Such focus is essential to develop a well-informed understanding of the implications for urban forms and landscapes of the wide-ranging changes in transportation systems that accompany rapid urbanization around the world.
DOI: 10.6084/m9.figshare.20449070
title: Telecoupling as a framework to support a more nuanced understanding of causality in land system science

description: This article illustrates the potential of the telecoupling framework to improve causal attribution in land system science (LSS). We shed light on the distinct analytical approaches that have characterized telecoupling research to date, how these can contribute to LSS with new insights, and whether such insights can improve causal attribution. By reviewing 45 empirical telecoupling studies, we firstly demonstrate how telecoupling is applied in a broad variety of ways within LSS and across different disciplines and research topics, albeit with qualitative data and assessments being underrepresented. Secondly, we show that telecoupling is clearer in its contribution to causal attribution when applied explicitly in framework integration or empirical application, rather than when it is included more indirectly as a narrative. Finally, we argue that telecoupling can complement existing LSS theory with a flexible and holistic approach to dealing with the uncertainties and complexities related to attributing causality in a globalized world.
DOI: 10.6084/m9.figshare.20186133.v3
title: Transportation in urban land change models: a systematic review and future directions

description: Urban land change and transportation infrastructure development often interact and collectively lead to significant socioeconomic and biophysical impacts. Here, we performed a systematic review to identify how urban land change modeling studies account for transportation infrastructure. We found that less than one-fifth of urban land modeling studies explicitly incorporated a transportation component. Of these, most incorporated transportation based on relatively simple distance-based variables. Despite the recognized influence of transportation on urban growth, only a few studies attempted to capture the dynamic interaction between the two. We present a conceptual modeling framework and argue for a renewed focus on capturing the dynamic interaction between urban land change and transportation development in modeling studies. Such focus is essential to develop a well-informed understanding of the implications for urban forms and landscapes of the wide-ranging changes in transportation systems that accompany rapid urbanization around the world.
DOI: 10.6084/m9.figshare.21259445
title: Towards pro-poor and voluntary PES: assessment of willingness to pay and willingness to accept PES contract in central Vietnam

description: This study employed Contingent Valuation and Discrete Choice Experiment methods to investigate the potential of a Payment for Ecosystem Service mechanism that incentivizes sustainable land use practices by determining the willingness of ecosystem service beneficiaries to pay for delivery of services via adoption of sustainable land use practices by upland poor, ethnic minority communities, and vice versa, the willingness of communities to adopt such practices upstream of Vu Gia river, central Vietnam. From the users’ side, 64% and 56% of pooled respondents said they are willing to pay a higher rate for water and electricity consumption, respectively, if upstream watershed management is improved. On the providers’ side, WTA was high if the conditionality is relaxed. Our findings suggest a fundamental challenge in designing PES that matches the needs of buyers and providers – a scheme that ensures ecosystem service flows but does not impose stringent rules that limit stakeholders’ participation.
DOI: 10.6084/m9.figshare.17804561
title: Gender and authorship patterns in urban land science

description: What are patterns of gender and authorship in urban land science? Our bibliometric analysis shows that the proportion of women shrinks among highly productive, impactful, and senior authors, akin to a pyramid shape. First, women are only one in ten researchers with an h-index above the 95<sup>th</sup> percentile. Second, women are first authors on 20% of all influential papers cited more than one hundred times. Third, women publish less frequently (1.6 papers/year) than men (2.2). Fourth, women have shorter career lengths (9.4 years) than men (11.8). Since the 2000s, citation rates for women and men have converged. For the generation starting careers since 2016, the proportion of women with an h-index above the 90<sup>th</sup> percentile increased to 25%. During the Covid-19 pandemic, there was a 51% increase in productivity for women. Despite these changes, gender disparities in urban land science are most pronounced among the most productive and impactful authors.
DOI: 10.6084/m9.figshare.17804561.v1
title: Gender and authorship patterns in urban land science

description: What are patterns of gender and authorship in urban land science? Our bibliometric analysis shows that the proportion of women shrinks among highly productive, impactful, and senior authors, akin to a pyramid shape. First, women are only one in ten researchers with an h-index above the 95<sup>th</sup> percentile. Second, women are first authors on 20% of all influential papers cited more than one hundred times. Third, women publish less frequently (1.6 papers/year) than men (2.2). Fourth, women have shorter career lengths (9.4 years) than men (11.8). Since the 2000s, citation rates for women and men have converged. For the generation starting careers since 2016, the proportion of women with an h-index above the 90<sup>th</sup> percentile increased to 25%. During the Covid-19 pandemic, there was a 51% increase in productivity for women. Despite these changes, gender disparities in urban land science are most pronounced among the most productive and impactful authors.
DOI: 10.6084/m9.figshare.21259445.v1
title: Towards pro-poor and voluntary PES: assessment of willingness to pay and willingness to accept PES contract in central Vietnam

description: This study employed Contingent Valuation and Discrete Choice Experiment methods to investigate the potential of a Payment for Ecosystem Service mechanism that incentivizes sustainable land use practices by determining the willingness of ecosystem service beneficiaries to pay for delivery of services via adoption of sustainable land use practices by upland poor, ethnic minority communities, and vice versa, the willingness of communities to adopt such practices upstream of Vu Gia river, central Vietnam. From the users’ side, 64% and 56% of pooled respondents said they are willing to pay a higher rate for water and electricity consumption, respectively, if upstream watershed management is improved. On the providers’ side, WTA was high if the conditionality is relaxed. Our findings suggest a fundamental challenge in designing PES that matches the needs of buyers and providers – a scheme that ensures ecosystem service flows but does not impose stringent rules that limit stakeholders’ participation.
DOI: 10.34740/kaggle/dsv/7940672
title: Top Spotify Songs in 73 Countries (Daily Updated)