cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.26050/wdcc/climava-swe
title: Climate data for adaptation and vulnerability assessments (SWE) – west

description: Project: Climate data for adaptation and vulnerability assessments - The ClimAVA (https://climate.usu.edu/climava/) project provides high-resolution (4km), bias-corrected, downscaled future climate projections derived from 17 CMIP6 General Circulation Models. It analyzes climate variables including precipitation (Pr), maximum temperature (Tmax), minimum temperature (Tmin), and snow water equivalent (SWE) — for three Shared Socioeconomic Pathways (SSP245, SSP370, SSP585) on a daily scale. Employing the Spatial Pattern Interactions Downscaling (SPID) method, ClimAVA ensures high-quality downscaling using machine learning models. These models capture the relationship between spatial patterns at Global Circulation Model (GCM) resolution and fine-resolution pixel values. Essentially, a random forest model is trained for each pixel, using the finer reference data as a predictand and nine pixels from the spatially resampled (coarser) version of the reference data as predictors. These models are then utilized to downscale the bias-corrected GCM data. Results from this method have proven to maintain climate realism and greatly represent extreme events.
Summary: The ClimAVA_SWE data set — where ClimAVA stands for Climate Data for Adaptation and Vulnerability Assessments — provides high-resolution (4 km) future climate projections derived from 13 CMIP6 General Circulation Models (GCMs). It focuses on Snow Water Equivalent (SWE), a crucial indicator of water availability, hydrologic extremes, and climate-related vulnerability, and includes projections for three Shared Socioeconomic Pathways (SSP245, SSP370, and SSP585) at a daily temporal scale. The initial release of ClimAVA_SWE covers the entire western United States. ClimAVA_SWE is produced using the newly developed Spatial Interactions Downscaling (SPID) method, which ensures high-quality downscaling through advanced machine learning techniques. SPID captures the relationship between large-scale spatial patterns at GCM resolution and fine-scale pixel values. For each pixel, two Random Forest models (one for the accumulation period and one for the ablation period) were trained using fine-resolution reference data as the predictand, and nine neighboring pixels from a spatially resampled (coarser) version of the reference data as predictors. These trained models are then applied to bias-corrected GCM data to generate the downscaled projections. The resulting dataset maintains strong climate realism and effectively represents extreme events.
DOI: 10.15468/dl.rcgq9q
title: Occurrence Download

description: A dataset containing 828 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Anthoceros fusiformis"
 ]
}

 The dataset includes 828 records from 64 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011377-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57760/sciencedb.j00003.00056
title: Video of Multi-step Adjustment for Impact Resistance and Stability Loss in a Spinal Quadruped Robot
title: 脊柱关节四足机器人失稳抗冲击多步调节视频

description: In the simulation and experiment of anti-instability lateral impact, a 5 kg pendulum is used to laterally impact the robot, and the video shows the robot's multi-step adjustment process during this event.
description: In the simulation and experiment of anti-instability lateral impact, a 5 kg pendulum is used to laterally impact the robot, and the video shows the robot's multi-step adjustment process during this event.
DOI: 10.57760/sciencedb.j00003.00061
title: Video of the multi-step adjustment experiment of the spinal robot under instability impact
title: 失稳性冲击下脊柱机器人多步调节实验视频

description: In the anti instability lateral impact experiment, a 5kg pendulum was used to perform lateral impact on the robot, and the robot was adjusted in multiple steps. 
description: In the anti instability lateral impact experiment, a 5kg pendulum was used to perform lateral impact on the robot, and the robot was adjusted in multiple steps.
DOI: 10.15468/dl.vtcfqt
title: Occurrence Download

description: A dataset containing 2369 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Accipiter soloensis",
 "Year is one of (1985, 1986, 1987, 1988, 1989, 1990, 1991, 1992, 1993, 1994, 1995, 1996, 1997, 1998, 1999, 2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is Human Observation"
 ]
}

 The dataset includes 2369 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011380-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.7884115
title: Generated Wikidata Subset for Taxons based on dump: 20170821-all

description: Source file: GeneTaxon_wikidata-20170821-all.ttl.gz


ShEx: https://github.com/kg-subsetting/paper-wikidata-subsetting-2023/blob/master/flexibility-experiments/genes%2Btaxons/GeneTaxon.shex


More information: https://www.semantic-web-journal.net/content/wikidata-subsetting-approaches-tools-and-evaluation
DOI: 10.5281/zenodo.7884116
title: Generated Wikidata Subset for Taxons based on dump: 20170821-all

description: Source file: GeneTaxon_wikidata-20170821-all.ttl.gz


ShEx: https://github.com/kg-subsetting/paper-wikidata-subsetting-2023/blob/master/flexibility-experiments/genes%2Btaxons/GeneTaxon.shex


More information: https://www.semantic-web-journal.net/content/wikidata-subsetting-approaches-tools-and-evaluation
DOI: 10.48670/moi-00209
title: Baltic Sea Major Baltic Inflow: bottom salinity from Reanalysis
DOI: 10.15468/dl.7fv68x
title: Occurrence Download

description: A dataset containing 15 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Accipiter trinotatus",
 "Year is one of (1985, 1986, 1987, 1988, 1989, 1990, 1991, 1992, 1993, 1994, 1995, 1996, 1997, 1998, 1999, 2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is Human Observation"
 ]
}

 The dataset includes 15 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011381-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/4ytrtgd9bd.2
title: Carbon nanoparticles promote Amazonian seedlings development: leaves biomass and potential productivity increased in forestry species

description: Data collected at the National Institute of Amazonian Research Campus III in Manaus, Brazil. Study experimentations in greenhouse from March 2023 to June 2023. The carbon nanoparticle (CNP) was applied in the substract, once a week for four weeks. Gas exchange measures were taken in the application month. Growth period was carried for other 60 days, and final analyses were performed in June.
DOI: 10.17632/62mmygkrwr
title: Understanding quackery and develop governance framework

description: This dataset contains qualitative and thematic research data collected as part of a comprehensive study for PhD research purposes. The main objective of the study was to explore quackery practices, induction pathways, provider roles, and facilities in its growth and the barriers to its control in Pakistan. The dataset includes the raw data downloaded from the taguette after uploading anonymized interview transcripts from a diverse group of stakeholders, including health policy experts, public health professionals, qualified healthcare providers, regulatory officials, and community members.
The data provides insights into major areas:
1. Knowledge gaps related to public understanding of healthcare and quackery
2. Types of quacks and the range of quackery practices operating in the region
3. Sources and mechanisms of new induction into quackery including informal apprenticeship pathways and patient demand factors
4. The involvement of qualified healthcare providers in promoting or enabling quackery practices
5. Facilitators in the growth of quackery
6. Barriers to control it

This dataset supports the development of an evidence based governance framework aimed at curbing quackery in low and middle income country settings. All interviews have been fully anonymized to ensure participant confidentiality and comply with ethical standards. The dataset is suitable for secondary analysis by researchers working in public health governance regulatory policy or health systems strengthening.
DOI: 10.17632/62mmygkrwr.1
title: Understanding quackery and develop governance framework

description: This dataset contains qualitative and thematic research data collected as part of a comprehensive study for PhD research purposes. The main objective of the study was to explore quackery practices, induction pathways, provider roles, and facilities in its growth and the barriers to its control in Pakistan. The dataset includes the raw data downloaded from the taguette after uploading anonymized interview transcripts from a diverse group of stakeholders, including health policy experts, public health professionals, qualified healthcare providers, regulatory officials, and community members.
The data provides insights into major areas:
1. Knowledge gaps related to public understanding of healthcare and quackery
2. Types of quacks and the range of quackery practices operating in the region
3. Sources and mechanisms of new induction into quackery including informal apprenticeship pathways and patient demand factors
4. The involvement of qualified healthcare providers in promoting or enabling quackery practices
5. Facilitators in the growth of quackery
6. Barriers to control it

This dataset supports the development of an evidence based governance framework aimed at curbing quackery in low and middle income country settings. All interviews have been fully anonymized to ensure participant confidentiality and comply with ethical standards. The dataset is suitable for secondary analysis by researchers working in public health governance regulatory policy or health systems strengthening.
DOI: 10.6084/m9.figshare.30689201
title: An Image-based Global Climate Sentiment Index

description: As the impacts of climate change on global economic and social systems deepen, identifying and quantifying climate sentiment has become crucial for climate policy design, risk monitoring, and cross-sector governance. To address limitations in existing studies—particularly their reliance on textual data, which introduces strong language dependence and limits cross-country comparability—this study incorporates visual information as the medium for sentiment measurement. Using the Google Images search engine, we collect approximately 3.19 million climate-related images from 19 representative countries over the period 2015–2024. By detecting positive and negative sentiment embedded in visual data, we construct a globally comparable, long-horizon, multi-frequency Climate Sentiment Index. This index transcends linguistic boundaries, substantially improving the accuracy and cross-cultural robustness of sentiment identification. It provides a valuable data foundation and analytical tool for understanding public climate attitudes, tracing risk transmission channels, and analyzing the formation of market expectations, with broad applicability across economic, social, and environmental domains.Associated Datasets:Raw Image Dataset for “An Image-based Global Climate Sentiment Index” (2015–2019)Raw Image Dataset for “An Image-based Global Climate Sentiment Index” (2020–2024)
DOI: 10.6084/m9.figshare.30689201.v1
title: An Image-based Global Climate Sentiment Index

description: As the impacts of climate change on global economic and social systems deepen, identifying and quantifying climate sentiment has become crucial for climate policy design, risk monitoring, and cross-sector governance. To address limitations in existing studies—particularly their reliance on textual data, which introduces strong language dependence and limits cross-country comparability—this study incorporates visual information as the medium for sentiment measurement. Using the Google Images search engine, we collect approximately 3.19 million climate-related images from 19 representative countries over the period 2015–2024. By detecting positive and negative sentiment embedded in visual data, we construct a globally comparable, long-horizon, multi-frequency Climate Sentiment Index. This index transcends linguistic boundaries, substantially improving the accuracy and cross-cultural robustness of sentiment identification. It provides a valuable data foundation and analytical tool for understanding public climate attitudes, tracing risk transmission channels, and analyzing the formation of market expectations, with broad applicability across economic, social, and environmental domains.Associated Datasets:Raw Image Dataset for “An Image-based Global Climate Sentiment Index” (2015–2019)Raw Image Dataset for “An Image-based Global Climate Sentiment Index” (2020–2024)
DOI: 10.17632/ffkjrghgy5
title: SUPPLEMENTARY MATERIALS

description: Sustained Action of Imapextide, a Glucagon-Like Peptide-1 Receptor Antagonist, in Healthy Volunteers
DOI: 10.17632/ffkjrghgy5.2
title: SUPPLEMENTARY MATERIALS

description: Sustained Action of Imapextide, a Glucagon-Like Peptide-1 Receptor Antagonist, in Healthy Volunteers
DOI: 10.17632/n2jy5g8dvm.3
title: Preoperative Botulinum Toxin Injection Does Not Improve Hair Transplantation Outcomes: A Split-scalp Randomized Controlled Trial

description: Botulinum toxin (BoNT), derived from Clostridium botulinum, is widely recognized for its cosmetic applications and therapeutic efficacy in various neurological and dermatological disorders. In recent years, its potential role in treating hair related disorders has garnered increasing attention, including androgenetic alopecia (AGA) alopecia areata (AA), telogen effluvium (TE), and trichodynia-associated alopecia. Our own prior research corroborates these findings, indicating that for AGA patients with vertex hair loss, both intradermal injection within the alopecic area and intramuscular injection around the head effectively increase hair diameter, with the latter showing greater efficacy in improving hair density. 
For AGA patients with male pattern (male pattern hair loss, MPHL) and patient with congenital high hairline (CHHL), hair transplantation constitutes a commonly employed treatment modality. While significant technical advancements have been made in transplantation techniques, persistent challenges include graft survival and preservation. Ischemia during the immediate post-implantation period is a primary contributor to transplantation failure. BoTN can improve the scalp microenvironment by enhancing local oxygenation and blood flow through vasodilation and reduced vascular pressure. Given the proposed mechanism of BoNT, we hypothesize that perioperative BoNT administration may offer a novel approach to enhance hair transplantation outcomes by mitigating ischemia-induced graft failure. To rigorously evaluate this hypothesis, we designed and registered the present randomized split-scalp controlled trial investigating the impact of preoperative BoNT on hair transplantation outcomes.
DOI: 10.17632/vgnrg3n6wh
title: Discovery of young submarine volcanism in the Cook Islands: New constraints on the location of the Rarotonga hotspot

description: Supplementary Table S1. Sample descriptions of samples in this study. Modal abundances of minerals are estimated examining thin sections under a petrographic microscope.
Supplementary Table S2. Complete radiogenic isotope, major and trace element data of samples in this study.
Supplementary Table S3. Laser ablation inductively coupled plasma-mass spectrometry (LA-ICP-MS) zircon U–Pb and trace element data for the nepheline syenite xenolith (TN426-D12-4-xenolith).
Supplementary Table S4. Complete 40Ar/39Ar data.
Supplementary Table S5. Olivine fractionation correction for Tama lavas (corrected for equilibrium fractionation so that lavas are in equilibrium with forsterite 90 olivine).
DOI: 10.17632/vgnrg3n6wh.1
title: Discovery of young submarine volcanism in the Cook Islands: New constraints on the location of the Rarotonga hotspot

description: Supplementary Table S1. Sample descriptions of samples in this study. Modal abundances of minerals are estimated examining thin sections under a petrographic microscope.
Supplementary Table S2. Complete radiogenic isotope, major and trace element data of samples in this study.
Supplementary Table S3. Laser ablation inductively coupled plasma-mass spectrometry (LA-ICP-MS) zircon U–Pb and trace element data for the nepheline syenite xenolith (TN426-D12-4-xenolith).
Supplementary Table S4. Complete 40Ar/39Ar data.
Supplementary Table S5. Olivine fractionation correction for Tama lavas (corrected for equilibrium fractionation so that lavas are in equilibrium with forsterite 90 olivine).
DOI: 10.17632/v9zdmn4dyw.1
title: Microstructural and Durability Behaviour of Roller-Compacted Concrete Incorporating Mechanically Treated and Blended Recycled Aggregates

description: This dataset includes raw and processed experimental data for Microstructural and Durability Behaviour of Roller-Compacted Concrete Incorporating Mechanically Treated and Blended Recycled Aggregates. It contains mix proportions, fresh properties, strength results, durability measurements, aggregate gradation data, and numerical values used for figures and tables. Specimen photos, Testing casting, EDX images and microstructural images are also provided in organised folders to support reproducibility.
DOI: 10.17632/265nw9pszr
title: Sup Tab 1 Certlink Med Derm Articles Most Selected

description: American Board of Dermatology runs a continuing certification program including online testing using Certlink platform. Certlink asks board-certified dermatologists to select 8 key articles per year from an ABD online library. This table shows the top selected medical dermatology article topics selected from 2021-2023. This information was run from ABD database query.
DOI: 10.6084/m9.figshare.30719045
title: Raw Image Dataset for “An Image-based Global Climate Sentiment Index” (2015–2019)

description: This repository provides the 2015–2019 portion (Part 1 of 2) of the image dataset used in developing “<i>An Image-based Global Climate Sentiment Index</i>”. It contains images retrieved from web searches using climate-related keyword queries during 2015–2019 and subsequently processed through data-cleaning procedures. The corresponding dataset for 2020–2024 (Part 2 of 2) is available at: Raw Image Dataset for “An Image-based Global Climate Sentiment Index” (2020–2024)
DOI: 10.6084/m9.figshare.30719045.v1
title: Raw Image Dataset for “An Image-based Global Climate Sentiment Index” (2015–2019)

description: This repository provides the 2015–2019 portion (Part 1 of 2) of the image dataset used in developing “<i>An Image-based Global Climate Sentiment Index</i>”. It contains images retrieved from web searches using climate-related keyword queries during 2015–2019 and subsequently processed through data-cleaning procedures. The corresponding dataset for 2020–2024 (Part 2 of 2) is available at: Raw Image Dataset for “An Image-based Global Climate Sentiment Index” (2020–2024)
DOI: 10.17632/265nw9pszr.1
title: Sup Tab 1 Certlink Med Derm Articles Most Selected

description: American Board of Dermatology runs a continuing certification program including online testing using Certlink platform. Certlink asks board-certified dermatologists to select 8 key articles per year from an ABD online library. This table shows the top selected medical dermatology article topics selected from 2021-2023. This information was run from ABD database query.
DOI: 10.17632/mtds4ckns5
title: Organic-inorganic hybrid based on Laponite as a platform for controlled release of 5-fluorouracil: characterization and release mechanism

description: In this study, we developed an organic–inorganic hybrid based on Laponite (synthetic clay mineral) modified with APTES ((3-aminopropyl)triethoxysilane) to enhance the controlled release of 5-FU. The structural features of the hybrid are designed to improve drug loading efficiency and modulate the release profile by optimizing interactions between the drug and the modified clay. Comprehensive characterization was performed to elucidate the structural, morphological, and chemical modifications induced by APTES, followed by investigation of the release kinetics and underlying release mechanism. In addition, in vitro cell viability assays and HET Cam assays were conducted to evaluate the biocompatibility of the developed system and assess its potential for biomedical applications. The datas is related to the raw data obtained from characterization of Laponite, Laponite modified with APTES and the hybrid loaded with 5-Fluororacil. As well as the release assay, models used, cell vilability and HET-CAM analysis. The raw datas is in workbooks at Origin Project (.opju) file; Sigma Plot (pzfx); txt, xlsx, docx and pdf.
DOI: 10.17632/mtds4ckns5.1
title: Organic-inorganic hybrid based on Laponite as a platform for controlled release of 5-fluorouracil: characterization and release mechanism

description: In this study, we developed an organic–inorganic hybrid based on Laponite (synthetic clay mineral) modified with APTES ((3-aminopropyl)triethoxysilane) to enhance the controlled release of 5-FU. The structural features of the hybrid are designed to improve drug loading efficiency and modulate the release profile by optimizing interactions between the drug and the modified clay. Comprehensive characterization was performed to elucidate the structural, morphological, and chemical modifications induced by APTES, followed by investigation of the release kinetics and underlying release mechanism. In addition, in vitro cell viability assays and HET Cam assays were conducted to evaluate the biocompatibility of the developed system and assess its potential for biomedical applications. The datas is related to the raw data obtained from characterization of Laponite, Laponite modified with APTES and the hybrid loaded with 5-Fluororacil. As well as the release assay, models used, cell vilability and HET-CAM analysis. The raw datas is in workbooks at Origin Project (.opju) file; Sigma Plot (pzfx); txt, xlsx, docx and pdf.
DOI: 10.17632/yv6ft6zsx7
title: QTNano - Impact of Thin Film Thickness on the Structural, Energetic and Optoelectronic Properties of Two-Dimensional FPEA2(MAn−1)PbnI3n+1Perovskites, ACS Applied Energy Materials , 8, 3346 (2025)

description: Raw data of the published paper - https://doi.org/10.1021/acsaem.4c02800
DOI: 10.17632/yv6ft6zsx7.2
title: QTNano - Impact of Thin Film Thickness on the Structural, Energetic and Optoelectronic Properties of Two-Dimensional FPEA2(MAn−1)PbnI3n+1Perovskites, ACS Applied Energy Materials , 8, 3346 (2025)

description: Raw data of the published paper - https://doi.org/10.1021/acsaem.4c02800
DOI: 10.48670/moi-00210
title: Baltic Sea Major Baltic Inflow: time/depth evolution S,T,O2 from Observations Reprocessing