cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.30704540
title: Data sets used to calculate changes in the levels of fold expression of TGF-beta, IGF-1, VEGFA, PDGFra, FGF7, FGF2, PDGFa, and PDGFb.

description: Skin Repair Plus Ointment (Remanco) is an upgraded version of the traditional Jordanian cream used for decades to heal burn injuries and as an alternative cure in northern Jordan. We investigated the therapeutic effects of Remanco on burn wound healing morphology and molecular changes. In this randomized controlled trial, 90 Wistar rats (160-170 grams) were randomly assigned to three groups of 30. The groups included a negative control (normal saline), a positive control (1% silver sulfadiazine), and a test group (Remanco cream). The rats' shaved dorsums were burned with a preheated circular copper head device 30 mm in diameter. Normal saline, 1% silver sulfadiazine, or Remanco cream was applied daily to the burns for 30 days or until the animals were killed. Remanco cream was tested for wound healing using gross, histological, and RT-PCR methods. Despite no statistically significant difference in wound area measurements or histological assessments, the Remanco cream-treated group had a significantly improved esthetic appearance. The Remanco-treated group had a substantial rise in TGF-beta on day 3 and IGF-1 on day 9 (p-value &lt; 0.05). In conclusion, Remanco cream may improve wound healing in animal models, but further research is needed before it can be used clinically.
DOI: 10.6084/m9.figshare.30704540.v1
title: Data sets used to calculate changes in the levels of fold expression of TGF-beta, IGF-1, VEGFA, PDGFra, FGF7, FGF2, PDGFa, and PDGFb.

description: Skin Repair Plus Ointment (Remanco) is an upgraded version of the traditional Jordanian cream used for decades to heal burn injuries and as an alternative cure in northern Jordan. We investigated the therapeutic effects of Remanco on burn wound healing morphology and molecular changes. In this randomized controlled trial, 90 Wistar rats (160-170 grams) were randomly assigned to three groups of 30. The groups included a negative control (normal saline), a positive control (1% silver sulfadiazine), and a test group (Remanco cream). The rats' shaved dorsums were burned with a preheated circular copper head device 30 mm in diameter. Normal saline, 1% silver sulfadiazine, or Remanco cream was applied daily to the burns for 30 days or until the animals were killed. Remanco cream was tested for wound healing using gross, histological, and RT-PCR methods. Despite no statistically significant difference in wound area measurements or histological assessments, the Remanco cream-treated group had a significantly improved esthetic appearance. The Remanco-treated group had a substantial rise in TGF-beta on day 3 and IGF-1 on day 9 (p-value &lt; 0.05). In conclusion, Remanco cream may improve wound healing in animal models, but further research is needed before it can be used clinically.
DOI: 10.15468/dl.qpgr24
title: Occurrence Download

description: A dataset containing 768858 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Human Observation, Living Specimen, Occurrence evidence)",
 "Continent is Europe",
 "Country is Romania",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "IucnRedListCategory is one of (CR, EN, VU, NT, LC)",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 768858 records from 67 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007189-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.25688736
title: German Experts on Afghanistan

description: The database was produced in the project "KNOWPRO: Knowledge Production in German Peace and Security Policy". It records Afghanistan experts active in Germany between 2001 and 2021, identified through their visibility via publications, media presence, and attributions (mentions and citations) by other experts. The database records the classification of each person as a regional or thematic expert, the number of publications on Afghanistan, the active period as an Afghanistan expert, the type of employment and the institutional assignment (university, think tank, politics).  
Experts were included in the database based on their number of publications on Afghanistan, their authorship for widely cited publications, and their media presence or participation in the Study Commission on Afghanistan by the German Bundestag. Likewise, people were included when they held specifically denoted “Afghanistan” positions, were mentioned in publications or interviews, or were involved in research projects on Afghanistan in Germany. Experts were included when they either primarily worked in Germany and/or published in German (among other languages); experts working primarily in Austria and Switzerland were excluded. 
Information about experts’ employment history and job status was collated using publicly available information on institutional or individual websites and portals such as LinkedIn and Xing. Publication numbers were extracted from website publication lists or the search results obtained on Google Scholar for the keyword “Afghanistan.” A publication was counted as soon as it had Afghanistan in its title. Both academic and policy papers were included, media contributions were not counted. For the classification as a regional rather than topical expert, the ratio of publications or media contributions on Afghanistan to other publications and education and occupation in area studies rather than security studies were considered. The time active until 2022 was determined via the dates of publications and media contributions.
DOI: 10.6084/m9.figshare.25688736.v8
title: German Experts on Afghanistan

description: The database was produced in the project "KNOWPRO: Knowledge Production in German Peace and Security Policy". It records Afghanistan experts active in Germany between 2001 and 2021, identified through their visibility via publications, media presence, and attributions (mentions and citations) by other experts. The database records the classification of each person as a regional or thematic expert, the number of publications on Afghanistan, the active period as an Afghanistan expert, the type of employment and the institutional assignment (university, think tank, politics).  
Experts were included in the database based on their number of publications on Afghanistan, their authorship for widely cited publications, and their media presence or participation in the Study Commission on Afghanistan by the German Bundestag. Likewise, people were included when they held specifically denoted “Afghanistan” positions, were mentioned in publications or interviews, or were involved in research projects on Afghanistan in Germany. Experts were included when they either primarily worked in Germany and/or published in German (among other languages); experts working primarily in Austria and Switzerland were excluded. 
Information about experts’ employment history and job status was collated using publicly available information on institutional or individual websites and portals such as LinkedIn and Xing. Publication numbers were extracted from website publication lists or the search results obtained on Google Scholar for the keyword “Afghanistan.” A publication was counted as soon as it had Afghanistan in its title. Both academic and policy papers were included, media contributions were not counted. For the classification as a regional rather than topical expert, the ratio of publications or media contributions on Afghanistan to other publications and education and occupation in area studies rather than security studies were considered. The time active until 2022 was determined via the dates of publications and media contributions.
DOI: 10.6084/m9.figshare.25688736.v7
title: German Experts on Afghanistan

description: The database was produced in the project "KNOWPRO: Knowledge Production in German Peace and Security Policy". It records Afghanistan experts active in Germany between 2001 and 2021, identified through their visibility via publications, media presence, and attributions (mentions and citations) by other experts. The database records the classification of each person as a regional or thematic expert, the number of publications on Afghanistan, the active period as an Afghanistan expert, the type of employment and the institutional assignment (university, think tank, politics).  
Experts were included in the database based on their number of publications on Afghanistan, their authorship for widely cited publications, and their media presence or participation in the Study Commission on Afghanistan by the German Bundestag. Likewise, people were included when they held specifically denoted “Afghanistan” positions, were mentioned in publications or interviews, or were involved in research projects on Afghanistan in Germany. Experts were included when they either primarily worked in Germany and/or published in German (among other languages); experts working primarily in Austria and Switzerland were excluded. 
Information about experts’ employment history and job status was collated using publicly available information on institutional or individual websites and portals such as LinkedIn and Xing. Publication numbers were extracted from website publication lists or the search results obtained on Google Scholar for the keyword “Afghanistan.” A publication was counted as soon as it had Afghanistan in its title. Both academic and policy papers were included, media contributions were not counted. For the classification as a regional rather than topical expert, the ratio of publications or media contributions on Afghanistan to other publications and education and occupation in area studies rather than security studies were considered. The time active until 2022 was determined via the dates of publications and media contributions.
DOI: 10.15468/dl.f9rajw
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Azemiops kharini)",
 "Country is one of (China, India, Indonesia, Pakistan, Bangladesh, Japan, Philippines, Viet Nam, Türkiye, Iran (Islamic Republic of), Thailand, Myanmar, Korea, Republic of, Korea (Democratic People’s Republic of), Iraq, Afghanistan, Saudi Arabia, Uzbekistan, Malaysia, Yemen, Nepal, Sri Lanka, Kazakhstan, Syrian Arab Republic, Cambodia, Jordan, Azerbaijan, United Arab Emirates, Tajikistan, Israel, Lao People’s Democratic Republic, Lebanon, Kyrgyzstan, Turkmenistan, Singapore, Oman, Palestine, State of, Kuwait, Georgia, Mongolia, Armenia, Qatar, Bahrain, Timor-Leste, Cyprus, Bhutan, Maldives, Brunei Darussalam)",
 "Year is greater than or equal to 1980",
 "Year is less than or equal to 2025",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007215-251120083545085/datasets/export for details.
DOI: 10.15468/dl.pcrevj
title: Occurrence Download

description: A dataset containing 34 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "GadmGid is CHN.28_1",
 "TaxonKey is Ammopiptanthus nanus"
 ]
}

 The dataset includes 34 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007216-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/13861252
title: Full TMDB Movies Dataset 2024 (1M Movies)
DOI: 10.5281/zenodo.17708461
title: Ta'lim muassasalari  rahbarlarida ijtimoiy-pedagogik  kompetentlikni rivojlantirish

description: Ushbu maqolada ta’lim muassasalari rahbarlarida ijtimoiy-pedagogik kompetentlikni rivojlantirishning mazmun-mohiyati, ahamiyati va zamonaviy yondashuvlari yoritiladi. Rahbarlarning ijtimoiy-pedagogik kompetentligi ta’lim jarayonida samarali boshqaruvni ta’minlash, pedagogik jamoa bilan konstruktiv muloqotni yo‘lga qo‘yish, o‘quvchilarning individual ehtiyojlarini inobatga olgan holda ijtimoiy muhitni tashkil etish kabi jarayonlarda muhim omil bo‘lib xizmat qiladi. Maqolada rahbarlarda ijtimoiy-pedagogik kompetentlikni shakllantirishning nazariy asoslari, amaliy mexanizmlari, malaka oshirish tizimi orqali rivojlantirish yo‘llari hamda xorij tajribalarining tahlili keltirilgan.
DOI: 10.5281/zenodo.17708462
title: Ta'lim muassasalari  rahbarlarida ijtimoiy-pedagogik  kompetentlikni rivojlantirish

description: Ushbu maqolada ta’lim muassasalari rahbarlarida ijtimoiy-pedagogik kompetentlikni rivojlantirishning mazmun-mohiyati, ahamiyati va zamonaviy yondashuvlari yoritiladi. Rahbarlarning ijtimoiy-pedagogik kompetentligi ta’lim jarayonida samarali boshqaruvni ta’minlash, pedagogik jamoa bilan konstruktiv muloqotni yo‘lga qo‘yish, o‘quvchilarning individual ehtiyojlarini inobatga olgan holda ijtimoiy muhitni tashkil etish kabi jarayonlarda muhim omil bo‘lib xizmat qiladi. Maqolada rahbarlarda ijtimoiy-pedagogik kompetentlikni shakllantirishning nazariy asoslari, amaliy mexanizmlari, malaka oshirish tizimi orqali rivojlantirish yo‘llari hamda xorij tajribalarining tahlili keltirilgan.
DOI: 10.34965/i9552
title: 20209105
DOI: 10.18150/6vqf3b
title: Research data for the article "Accounting-Based CAPM: Symmetrical and Downside Risk Approaches"

description: One of the fundamental tools for capital asset valuation remains the Capital Asset Pricing Model (CAPM). However, its standard formulation rooted in assumptions about investor behavior and return distributions proves insufficient in capturing the full complexity of asset return volatility. It appears justified to supplement market-based risk measures with variables derived from the fundamental analysis of firms. The primary objective of this study is therefore to test non-standard extensions of the CAPM that incorporate accounting-based information, specifically profitability ratios and accounting beta coefficients. A key focus of the research is the downside pricing approach, particularly the development and assessment of downside accounting betas. The empirical analysis was conducted on a sample of firms of various sizes included in the major indices of the Frankfurt Stock Exchange, with a separate examination of large-cap companies. The research period spans ten years, from 2015 to 2024.
DOI: 10.5281/zenodo.16974290
title: Global 30m Desert Dataset (1985-2024) and WRF-Simulated Spring Dust Emission in East Asia (2005-2020)

description: Using random forest classification (RFC), we construct a 40-year global desert dataset based on 30-meter Landsat reflectance data, incorporating multiple features including terrain relief, gray-level co-occurrence matrix (GLCM), and normalized difference vegetation index (NDVI). All source data are accessible through the Google Earth Engine (GEE) platform. In this dataset, desert is labeled with a value of 1, while no-data pixels are marked as 255.
DOI: 10.5281/zenodo.16974291
title: Global 30m Desert Dataset (1985-2024) and WRF-Simulated Spring Dust Emission in East Asia (2005-2020)

description: Using random forest classification (RFC), we construct a 40-year global desert dataset based on 30-meter Landsat reflectance data, incorporating multiple features including terrain relief, gray-level co-occurrence matrix (GLCM), and normalized difference vegetation index (NDVI). All source data are accessible through the Google Earth Engine (GEE) platform. In this dataset, desert is labeled with a value of 1, while no-data pixels are marked as 255.
DOI: 10.15468/dl.2zbu86
title: Occurrence Download

description: A dataset containing 3473633 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Germany",
 "Year 2025-2025"
 ]
}

 The dataset includes 3473633 records from 58 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007201-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4xpf8k
title: Occurrence Download

description: A dataset containing 40 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Daboia siamensis)",
 "Country is one of (China, India, Indonesia, Pakistan, Bangladesh, Japan, Philippines, Viet Nam, Türkiye, Iran (Islamic Republic of), Thailand, Myanmar, Korea, Republic of, Korea (Democratic People’s Republic of), Iraq, Afghanistan, Saudi Arabia, Uzbekistan, Malaysia, Yemen, Nepal, Sri Lanka, Kazakhstan, Syrian Arab Republic, Cambodia, Jordan, Azerbaijan, United Arab Emirates, Tajikistan, Israel, Lao People’s Democratic Republic, Lebanon, Kyrgyzstan, Turkmenistan, Singapore, Oman, Palestine, State of, Kuwait, Georgia, Mongolia, Armenia, Qatar, Bahrain, Timor-Leste, Cyprus, Bhutan, Maldives, Brunei Darussalam)",
 "Year is greater than or equal to 1980",
 "Year is less than or equal to 2025",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 40 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007218-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jucf39
title: Occurrence Download

description: A dataset containing 23 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Yamatotettix flavovittatus"
 ]
}

 The dataset includes 23 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007220-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14588167
title: Paracetamol dry-coated with rice wax - dissolutions

description: The datasets include dissolution data (absorbance vs. time) and their analysis with calibration curves to concentration/concentration(%released) vs. time. The dissolutions were  measured 3 times for each sample, except when the materials were not enough.
DOI: 10.5281/zenodo.14588166
title: Paracetamol dry-coated with rice wax - dissolutions

description: The datasets include dissolution data (absorbance vs. time) and their analysis with calibration curves to concentration/concentration(%released) vs. time. The dissolutions were  measured 3 times for each sample, except when the materials were not enough.
DOI: 10.5281/zenodo.17708383
title: Beyond Edge Addition

description: Beyond Edge Addition: A Dataset forInformation Extraction Incorporating NewInstances, Types, and Relations

Information extraction (IE) is the task of converting natural language text into structured triples comprising a subject, predicate, and object. Existing IE datasets often operate under the assumption that all entities (instances, properties, and classes) are already defined within a knowledge graph (KG), focusing solely on discovering the relationships between them. However, this assumption does not align with real-world scenarios, where many entities and relationships may be missing in the KG. Additionally, most current datasets do not provide a snapshot of the accompanying knowledge graph, leading to inconsistencies in evaluation,as different systems may rely on different KG versions with varying degrees of completeness and labelling support. Such inconsistencies undermine fair benchmarking and reproducibility. In this paper, we introduce a novel information extraction dataset specifically designed to better reflect realistic KG incompleteness. Our dataset includes 20% missing classes and instances, along with 5% missing relations, requiring systems to not only add new links (edges) but also propose new instances, classes,and relations. To ensure reproducibility and prevent leakage from pre-trained language models, we provide a heavily modified version of Wikidata where background knowledge cannot be exploited to trivially infer triples. This resource supports a more robust and comparable evaluation of IE systems in settings closer to real-world applications. We further present a strong baseline that employs large language models for extraction and disambiguation tasks, as well as encoder-based retrieval, tointegrate the background knowledge graph. It operates in several iterations, initially identifying a first set of triples, then progressively refining them by referencing the KG and generating new entities if necessary.

 

Dataset Description

There are two gzipped files uploaded. The first one contains the knowledge graph and the second one the actual dataset with the text and corresponding triples that should be extracted.

The files are password protected such that the dataset is not easily included in future LLM training.

The password can be found in the corresponding Github repository.
DOI: 10.5281/zenodo.15398295
title: Beyond Edge Addition

description: Beyond Edge Addition: A Dataset forInformation Extraction Incorporating NewInstances, Types, and Relations

Information extraction (IE) is the task of converting natural language text into structured triples comprising a subject, predicate, and object. Existing IE datasets often operate under the assumption that all entities (instances, properties, and classes) are already defined within a knowledge graph (KG), focusing solely on discovering the relationships between them. However, this assumption does not align with real-world scenarios, where many entities and relationships may be missing in the KG. Additionally, most current datasets do not provide a snapshot of the accompanying knowledge graph, leading to inconsistencies in evaluation,as different systems may rely on different KG versions with varying degrees of completeness and labelling support. Such inconsistencies undermine fair benchmarking and reproducibility. In this paper, we introduce a novel information extraction dataset specifically designed to better reflect realistic KG incompleteness. Our dataset includes 20% missing classes and instances, along with 5% missing relations, requiring systems to not only add new links (edges) but also propose new instances, classes,and relations. To ensure reproducibility and prevent leakage from pre-trained language models, we provide a heavily modified version of Wikidata where background knowledge cannot be exploited to trivially infer triples. This resource supports a more robust and comparable evaluation of IE systems in settings closer to real-world applications. We further present a strong baseline that employs large language models for extraction and disambiguation tasks, as well as encoder-based retrieval, tointegrate the background knowledge graph. It operates in several iterations, initially identifying a first set of triples, then progressively refining them by referencing the KG and generating new entities if necessary.

 

Dataset Description

There are two gzipped files uploaded. The first one contains the knowledge graph and the second one the actual dataset with the text and corresponding triples that should be extracted.

The files are password protected such that the dataset is not easily included in future LLM training.

The password can be found in the corresponding Github repository.