cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc2n2sbw
title: CCDC 2445538: Experimental Crystal Structure Determination

description: Related Article: Mehrafshan G. Jafari, Dominik Fehn, Christian Sandoval-Pauker, Michael R. Gau, Karsten Meyer, Balazs Pinter, Daniel J. Mindiola, Anders Reinholdt|2025|Chemical Science|16|17714|doi:10.1039/d5sc04824a
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: 10.5281/zenodo.17233157
title: FarmaCorp: Un corpus comparable, paralelo y multimodal de dominio farmacológico castellano-inglés
DOI: 10.5281/zenodo.17233158
title: FarmaCorp: Un corpus comparable, paralelo y multimodal de dominio farmacológico castellano-inglés
DOI: 10.5065/d6474863
title: Forward-Looking Digital Camera Imagery. Version 1.0

description: During DC3, the NSF/NCAR GV HIAPER (GV_N677F) flew a forward-looking digital camera for in-flight video capture. Individual photo jpeg images were captured once per second during flights. Images taken after dark have been stripped from this archive. The remaining images have been combined into hour long tarfiles running from zero minutes zero seconds (or the start time of the first file) to 23 minutes 59 seconds (or the end time of the last file) after each hour. Note that the first and last tarfile for each flight will contain less than a full hour of imagery. Directory files returned with each order give the contents of each corresponding tar file.
DOI: 10.13140/rg.2.2.31528.48645
title: Life of Aryabhatta An insight into Indian Astronomy
DOI: 10.15468/dl.eq4hpv
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Brugmansia candida",
 "Country is Rwanda",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036101-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hf7zfc
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Brugmansia candida",
 "Country is Cook Islands",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036100-250920141307145/datasets/export for details.
DOI: 10.13140/rg.2.2.19515.39201/1
title: Governance and Digital Transformation: Implementation of Governance Principles into RUKHTEC CO., LTD.
DOI: 10.5281/zenodo.17242387
title: A Theoretical Framework for High-Precision Extraction of Bioactive Compounds from Plants and Living Organisms Using AI-Driven Nanotechnological and Biophysical Mechanisms

description: BioExtract-AI is a groundbreaking theoretical framework designed for the high-precision extraction of bioactive compounds from plants and living organisms. By seamlessly integrating artificial intelligence (AI), leveraging Graph Convolutional Networks (GCNs) and Message Passing Neural Networks (MPNNs), with lipid-polymer hybrid nanocarriers and low-frequency molecular resonance, this framework achieves exceptional specificity and efficiency, predicting over 95% purity and 90% yield. Supported by rigorous mathematical models, high-performance computing (HPC) simulations, sensitivity analyses, and comparative benchmarking, BioExtract-AI outperforms conventional extraction methods in yield, purity, and sustainability. The closed-loop system, driven by real-time AI feedback, addresses limitations such as molecular degradation and environmental toxicity. With transformative applications in medicine (precision therapeutics), pharmacology (novel formulations), chemistry (green synthesis), and biology (functional genomics), BioExtract-AI is poised to redefine extraction science. A comprehensive validation roadmap, ethical considerations, and a focus on global health equity further enhance its visionary impact. This work is licensed under a Creative Commons Attribution 4.0 International (CC BY 4.0) License.
DOI: 10.5281/zenodo.17242389
title: A Theoretical Framework for High-Precision Extraction of Bioactive Compounds from Plants and Living Organisms Using AI-Driven Nanotechnological and Biophysical Mechanisms

description: BioExtract-AI is a groundbreaking theoretical framework designed for the high-precision extraction of bioactive compounds from plants and living organisms. By seamlessly integrating artificial intelligence (AI), leveraging Graph Convolutional Networks (GCNs) and Message Passing Neural Networks (MPNNs), with lipid-polymer hybrid nanocarriers and low-frequency molecular resonance, this framework achieves exceptional specificity and efficiency, predicting over 95% purity and 90% yield. Supported by rigorous mathematical models, high-performance computing (HPC) simulations, sensitivity analyses, and comparative benchmarking, BioExtract-AI outperforms conventional extraction methods in yield, purity, and sustainability. The closed-loop system, driven by real-time AI feedback, addresses limitations such as molecular degradation and environmental toxicity. With transformative applications in medicine (precision therapeutics), pharmacology (novel formulations), chemistry (green synthesis), and biology (functional genomics), BioExtract-AI is poised to redefine extraction science. A comprehensive validation roadmap, ethical considerations, and a focus on global health equity further enhance its visionary impact. This work is licensed under a Creative Commons Attribution 4.0 International (CC BY 4.0) License.
DOI: 10.13140/rg.2.2.32157.63207
title: Please reference PRJNA1303219 SRA database Aspergillus uessalvadorensis
DOI: 10.13140/rg.2.2.26226.27847/1
title: Governance and Digital Transformation: SWOT Analysis of the Governance Structure in RIV - RUKHTEC CO., LTD.
DOI: 10.13140/rg.2.2.22091.30243
title: car insurance initial customer segmentation dataset
DOI: 10.5065/d60g3hht
title: Left-Looking Digital Camera Imagery. Version 1.0

description: During DC3, the NSF/NCAR GV HIAPER (GV_N677F) flew a left-looking digital camera for in-flight video capture. Individual photo jpeg images were captured once per second during flights. Images taken after dark have been stripped from this archive. The remaining images have been combined into hour long tarfiles running from zero minutes zero seconds (or the start time of the first file) to 23 minutes 59 seconds (or the end time of the last file) after each hour. Note that the first and last tarfile for each flight will contain less than a full hour of imagery. Directory files returned with each order give the contents of each corresponding tar file.
DOI: 10.13140/rg.2.2.27904.00004/1
title: الحوكمة والتحول الرقمي: رقمنة الصناعة بين الواقع المعزز وتحديات الغد
DOI: 10.13140/rg.2.2.22930.16328
title: Enterococcus faecium iq-BGD-ige plasmid piq-BGD-ige VanA gene, partial sequence.
DOI: 10.13140/rg.2.2.27543.89765
title: Enterococcus sp. iq-BGD-ige-AB plasmid piq-BGD-ige-AB VanH, VanA genes for D-lactate dehydrogenase, D-alanine lactate ligase, partial cds.
DOI: 10.13140/rg.2.2.12444.40322
title: Enterococcus faecium Iq98BGD.RUC vanA gene, partial sequence.
DOI: 10.15468/dl.yvr596
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-3.193 40.533,-3.163 40.533,-3.163 40.563,-3.193 40.563,-3.193 40.533))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Animalia"
 ]
}

 The dataset includes 10 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036104-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5065/d6vt1qdd
title: NSF/NCAR GV HIAPER Right-Looking Digital Camera Imagery. Version 1.0

description: During DC3, the NSF/NCAR GV HIAPER (GV_N677F) flew a right-looking digital camera for in-flight video capture. Individual photo jpeg images were captured once per second during flights. Images taken after dark have been stripped from this archive. The remaining images have been combined into hour long tarfiles running from zero minutes zero seconds (or the start time of the first file) to 23 minutes 59 seconds (or the end time of the last file) after each hour. Note that the first and last tarfile for each flight will contain less than a full hour of imagery. Directory files returned with each order give the contents of each corresponding tar file.
DOI: 10.13140/rg.2.2.33573.20968
title: Infografía teórico-metodológicas ingenieros
DOI: 10.13140/rg.2.2.11762.82883
title: Infografía estrategias heurísticas
DOI: 10.13140/rg.2.2.25184.60163
title: Infografía estado del arte de ingenieros
DOI: 10.13140/rg.2.2.31895.48800
title: Infografía integridad académica y plagio
DOI: 10.13140/rg.2.2.28540.04481
title: Infographic integral for the arc length
DOI: 10.13140/rg.2.2.10923.96808
title: Infografía retroalimentación matemática
DOI: 10.13140/rg.2.2.35250.93126
title: Hinojos y Farfán (2022) - Infografía Estado Estacionario.pdf
DOI: 10.13140/rg.2.2.31056.62724
title: Infográfico - Principios de diseño de tareas en Socioepistemología
DOI: 10.5065/d6r20zqf
title: NCAR/EOL ISS Profiler Moments and Wind Profiler Imagery. Version 1.0

description: ISS 915 MHz radar wind profiler moments and wind profiler imagery produced during the DC3 project. The imagery are in PNG format. The imagery cover the time span from 2012-05-03 00:00:00 to 2012-06-29 23:59:59.
DOI: 10.15468/dl.rcr36d
title: Occurrence Download

description: A dataset containing 1504 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (China, Chinese Taipei)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Sophora flavescens"
 ]
}

 The dataset includes 1504 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036102-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.g465x6
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Solandra maxima",
 "Country is Cook Islands",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036105-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13140/rg.2.2.23087.44963
title: تمرینات پرژوه انتهایی دوره متلب دانشگاه صنعتی شریف
DOI: 10.15468/dl.3s8pab
title: Occurrence Download

description: A dataset containing 54 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Solandra maxima",
 "Country is Ecuador",
 "HasCoordinate is true"
 ]
}

 The dataset includes 54 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036107-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.whrw4a
title: Occurrence Download

description: A dataset containing 1087 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is New Zealand",
 "Geometry POLYGON((169.93936 -42.63491,168.31996 -43.85796,171.23552 -45.66358,172.6422 -44.15173,169.93936 -42.63491))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Xenicus gilviventris",
 "Year 2000-2025"
 ]
}

 The dataset includes 1087 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036106-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.duhpuf
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Solandra maxima",
 "Country is Fiji",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036108-250920141307145/datasets/export for details.
DOI: 10.5281/zenodo.17242085
title: Solvent-induced partial cellular fixation decodes proteome-wide drug targets and downstream pathways in living cells

description: Abstract

Comprehensive knowledge of drug targets, their binding efficacy, and the subsequent activated cellular pathways is critical for determining therapeutic efficacy, elucidating mechanisms of action, and identifying potential side effects. However, acquiring this information in living cells remains challenging using routine proteomics methods. In this study, we propose a approach, the Solvent-Induced partial Cellular Fixation Approach (SICFA), to assess protein stability and drug interactions in living cells. By combining SICFA with quantitative proteomics, we can quantify stability for approximately 5,600 proteins within the intracellular proteome. SICFA demonstrates high sensitivity in detecting drug-induced stability changes in target proteins and downstream effector proteins. Time-resolved SICFA allows the tracking of drug-induced molecular events over time, revealing the early impact of 5-Fluorouracil on RNA post-transcriptional modifications and ribosome biogenesis. Unlike traditional proteomics, SICFA offers enhanced sensitivity in detecting early biochemical events, providing critical insights into drug-target interactions and the sequence of drug-induced pathway alterations.
DOI: 10.5281/zenodo.17242086
title: Solvent-induced partial cellular fixation decodes proteome-wide drug targets and downstream pathways in living cells

description: Abstract

Comprehensive knowledge of drug targets, their binding efficacy, and the subsequent activated cellular pathways is critical for determining therapeutic efficacy, elucidating mechanisms of action, and identifying potential side effects. However, acquiring this information in living cells remains challenging using routine proteomics methods. In this study, we propose a approach, the Solvent-Induced partial Cellular Fixation Approach (SICFA), to assess protein stability and drug interactions in living cells. By combining SICFA with quantitative proteomics, we can quantify stability for approximately 5,600 proteins within the intracellular proteome. SICFA demonstrates high sensitivity in detecting drug-induced stability changes in target proteins and downstream effector proteins. Time-resolved SICFA allows the tracking of drug-induced molecular events over time, revealing the early impact of 5-Fluorouracil on RNA post-transcriptional modifications and ribosome biogenesis. Unlike traditional proteomics, SICFA offers enhanced sensitivity in detecting early biochemical events, providing critical insights into drug-target interactions and the sequence of drug-induced pathway alterations.
DOI: 10.5065/d6m9070h
title: NCAR/EOL ISS Surface Winds and Meteorological Imagery. Version 1.0

description: ISS surface winds and meteorological imagery produced during the DC3 project. The imagery are in PNG format. The imagery cover the time span from 2012-05-03 00:00:00 to 2012-06-29 23:59:59.
DOI: 10.13140/rg.2.2.35625.10086/1
title: Preliminary Field Report On Rava (2024)
DOI: 10.13140/rg.2.2.28644.90247
title: Strange Observation 25017: Persian Curve – Further Developments (Applications)
DOI: 10.5281/zenodo.17242441
title: Abwassersurveillance AMELAG

description: Im Datensatz "Abwassersurveillance AMELAG" des Robert Koch-Instituts und Umweltbundesamts werden Daten aus der Überwachung von Infektionserregern im Abwasser bereitgestellt. Die Daten zur SARS-CoV-2-Viruslast werden seit Februar 2022 in einem bundesweiten Netzwerk von Kläranlagen, Laboren und Behörden erhoben. Seitdem wurden die Daten um die Viruslast weiterer respiratorischer Viren (Influenza A/B, RSV) ergänzt. Der Datensatz enthält neben Einzelwerten der Kläranlagen auch bevölkerungsgewichtete, aggregierte Zeitreihen. Darüber hinaus werden Auswertungsskripte als Kontextmaterialien bereitgestellt.
DOI: 10.13140/rg.2.2.21934.01600
title: DB STEPS Analysis of PERS029-8S4 105-1 20 Real World Data by the Persian Curve (PC) DB STEP 07 PERSIAN QUANTILE COMPLETE
DOI: 10.5281/zenodo.17187647
title: Ciciban Corpus: 123 Digitised Slovenian Children's Songs

description: Corpus of 123 Ciciban Songs (Version 1)

This release presents the first version of a corpus containing 123 songs published in Ciciban, a Slovenian children’s magazine. The corpus is provided in two formats: MusicXML files, containing the full musical notation, and corresponding JSON files, which include structured metadata and analytical information such as key, time signature, ambitus, duration, melodic contour, rhythm, and basic bibliographic data.

The name of each JSON/MusicXML file follows the following structure: PubName_PubYear_PubNumber_Composer_Title (for example: Ciciban_7_9_MatijaTomc_Svatovanje.json)

The songs are primarily intended for children and were originally published and curated for educational and cultural purposes in post-war Yugoslavia, more specifically in today's Slovenian geographical area (in this collection, from 1946-1990). They typically feature simple melodic structures and lyrics suitable for early musical training, collective singing, and cultural formation. Most of the lyrics are in the Slovenian language.

As this is the first release, a few songs may lack crucial information or contain incomplete metadata. The corpus is actively maintained and continuously expanded on the MUSCO platform (http://korpusi.muzikologijaff.si/), and future corrected or enriched versions may also be made available on Zenodo.

Researchers, educators, and musicians are encouraged to use the corpus for studies in musicology, computational analysis, education, and cultural history. Users should note that the dataset will evolve, and updated releases may include revised metadata, improved encodings, and additional annotations.Please note that the licences and copyright statements provided in this repository apply only to the digitised materials (MusicXML and JSON encodings) and do not override or replace the original licences attached to the source materials and their reproductions (such as scans, copies, or images).
DOI: 10.5281/zenodo.17187648
title: Ciciban Corpus: 123 Digitised Slovenian Children's Songs

description: Corpus of 123 Ciciban Songs (Version 1)

This release presents the first version of a corpus containing 123 songs published in Ciciban, a Slovenian children’s magazine. The corpus is provided in two formats: MusicXML files, containing the full musical notation, and corresponding JSON files, which include structured metadata and analytical information such as key, time signature, ambitus, duration, melodic contour, rhythm, and basic bibliographic data.

The name of each JSON/MusicXML file follows the following structure: PubName_PubYear_PubNumber_Composer_Title (for example: Ciciban_7_9_MatijaTomc_Svatovanje.json)

The songs are primarily intended for children and were originally published and curated for educational and cultural purposes in post-war Yugoslavia, more specifically in today's Slovenian geographical area (in this collection, from 1946-1990). They typically feature simple melodic structures and lyrics suitable for early musical training, collective singing, and cultural formation. Most of the lyrics are in the Slovenian language.

As this is the first release, a few songs may lack crucial information or contain incomplete metadata. The corpus is actively maintained and continuously expanded on the MUSCO platform (http://korpusi.muzikologijaff.si/), and future corrected or enriched versions may also be made available on Zenodo.

Researchers, educators, and musicians are encouraged to use the corpus for studies in musicology, computational analysis, education, and cultural history. Users should note that the dataset will evolve, and updated releases may include revised metadata, improved encodings, and additional annotations.Please note that the licences and copyright statements provided in this repository apply only to the digitised materials (MusicXML and JSON encodings) and do not override or replace the original licences attached to the source materials and their reproductions (such as scans, copies, or images).
DOI: 10.5065/d6gh9g87
title: DC3: PMS-2D Two-dimensional Cloud Probe data. Version 1.0

description: This dataset contains raw (binary "filmstrip" imagery) files of PMS-2D data collected by the NSF/NCAR GV HIAPER during the Deep Convective Clouds and Chemistry Project (DC3). These data are in a format compatible with xpms2d, available from the EOL xpms2d download page.
DOI: 10.13140/rg.2.2.14803.69924
title: Temperature Index of Climatic Temperature at Five Cities in Assam over the Last Fifty Years
DOI: 10.15468/dl.tsvrby
title: Occurrence Download

description: A dataset containing 5879 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation)",
 "Geometry POLYGON((-180 -25,180 -25,180 25,-180 25,-180 -25))",
 "OccurrenceStatus is Present",
 "TaxonKey is Theobroma cacao"
 ]
}

 The dataset includes 5879 records from 110 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036109-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5065/d6br8qh2
title: DC3 Chat Logs. Version 1.0

description: This dataset contains the scrubbed chat logs from the DC3 project from May 15 - June 30, 2012. These chat logs contain conversations between scientists and other project participants collected during the field phase of the DC3 project.
DOI: 10.15468/dl.6ruk59
title: Occurrence Download

description: A dataset containing 26 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Solandra maxima",
 "Country is Guatemala",
 "HasCoordinate is true"
 ]
}

 The dataset includes 26 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036110-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13140/rg.2.2.22982.59207
title: BẢN ĐĂNG KÝ XÉT CÔNG NHẬN ĐẠT TIÊU CHUẨN CHỨC DANH GIÁO SƯ
DOI: 10.15468/dl.9pmhft
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Solandra maxima",
 "Country is Honduras",
 "HasCoordinate is true"
 ]
}

 The dataset includes 6 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036112-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5519/qd.20sksti1
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1201604 records)
DOI: 10.5519/qd.54ami6s1
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1201604 records)