cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.15614480
title: Supplementary materials for the PhD thesis

description: This raw dataset was used to prepare my PhD thesis entitled "Modelling of deuterium retention and desorption processes in tungsten under pulsed plasma and laser impact".
DOI: 10.5281/zenodo.3873772
title: Data from: The co-authorship networks of the most productive European researchers

description: This individual-level data-set describes the most productive European Union (EU) researchers (in terms of articles), during 2007 - 2018, irrespective of their research field. Specifically, in the data-set file, i.e. "iconic_5000", we profile the most productive 4,588 EU researchers using the following variables: number of papers; number of citations; repeated collaborations; number of co-authors; number of co-authors from the same country (as the author), from the same city, from the same institution and from different countries; geographical dispersion (number of unique countries wherein co-authors are based in), star (the largest number of articles published by one of an author's collaborators), godfather (the largest number of citations received by one of an author's collaborators), co-authors' citations and co-authors' papers. Variables are yearly measured.
DOI: 10.5281/zenodo.3873771
title: Data from: The co-authorship networks of the most productive European researchers

description: This individual-level data-set describes the most productive European Union (EU) researchers (in terms of articles), during 2007 - 2018, irrespective of their research field. Specifically, in the data-set file, i.e. "iconic_5000", we profile the most productive 4,588 EU researchers using the following variables: number of papers; number of citations; repeated collaborations; number of co-authors; number of co-authors from the same country (as the author), from the same city, from the same institution and from different countries; geographical dispersion (number of unique countries wherein co-authors are based in), star (the largest number of articles published by one of an author's collaborators), godfather (the largest number of citations received by one of an author's collaborators), co-authors' citations and co-authors' papers. Variables are yearly measured.
DOI: 10.5281/zenodo.15642904
title: EXPLORING COMPARATIVE ADJECTIVES IN A UNIVERSITY EFL CONTEXT: GRAMMAR INSTRUCTION AND LEARNER PERFORMANCE IN UZBEKISTAN
DOI: 10.5281/zenodo.15642905
title: EXPLORING COMPARATIVE ADJECTIVES IN A UNIVERSITY EFL CONTEXT: GRAMMAR INSTRUCTION AND LEARNER PERFORMANCE IN UZBEKISTAN
DOI: 10.5281/zenodo.15642984
title: APPLICATION OF PRIVATE METHODS
DOI: 10.5281/zenodo.15642985
title: APPLICATION OF PRIVATE METHODS
DOI: 10.60503/d3/8wjgac
title: Institute of Governmental Studies (IGS) Poll, 2022-02-03

description: The Berkeley IGS Poll is a periodic survey of California public opinion on important matters of politics, public policy, and public issues. The poll, which is disseminated widely, seeks to provide a broad measure of contemporary public opinion, and to generate data for subsequent scholarly analysis. For IGS Poll press releases please visit: eScholarship IGS Poll Press Releases
DOI: 10.34740/kaggle/dsv/12133790
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.5281/zenodo.10810324
title: Large biases in the frequency of water limitation across Earth system models

description: Scripts and instructions to reproduce the analysis presented in "Large biases in the frequency of water limitation across Earth system models" by Giardina et al.



You are required to cite Zenodo data repository when using this data as follows:Giardina et al. (2025). Large biases in the frequency of water limitation across Earth system models. doi://10.5281/zenodo.10810324


Abstract

Water availability limits evapotranspiration on land, shaping the energy balance, land carbon uptake, and climate extremes. Despite its importance, Earth System Models struggle to capture where and how often water-limited conditions occur. Here we investigate the representation of water limitation and its link to land water storage capacity in simulations from the Sixth Coupled Model Intercomparison Project (CMIP6) driven by consistent observational atmospheric forcing. Using observations of remotely sensed solar-induced vegetation fluorescence and terrestrial water storage, together with ecosystem flux data, we find that CMIP6 models overestimate the frequency of water limitation by 14% over land and 26% in the tropics. Model overestimation occurs over 57% of the land area, and 78% in the tropics. These too frequent water-limited conditions are not conclusively linked to a potential underestimation of land water storage capacity in the models, hinting at gaps in how ESMs represent rooting depths, plant water uptake, and plant water-use strategies. Our study highlights the need for model development in these areas, with implications for projections of future climate on land.

Licensing

All code is licensed under AGPL-v3, and the manuscript and data are licensed as CC-BY.
DOI: 10.5281/zenodo.15642891
title: Large biases in the frequency of water limitation across Earth system models

description: Scripts and instructions to reproduce the analysis presented in "Large biases in the frequency of water limitation across Earth system models" by Giardina et al.



You are required to cite Zenodo data repository when using this data as follows:Giardina et al. (2025). Large biases in the frequency of water limitation across Earth system models. doi://10.5281/zenodo.10810324


Abstract

Water availability limits evapotranspiration on land, shaping the energy balance, land carbon uptake, and climate extremes. Despite its importance, Earth System Models struggle to capture where and how often water-limited conditions occur. Here we investigate the representation of water limitation and its link to land water storage capacity in simulations from the Sixth Coupled Model Intercomparison Project (CMIP6) driven by consistent observational atmospheric forcing. Using observations of remotely sensed solar-induced vegetation fluorescence and terrestrial water storage, together with ecosystem flux data, we find that CMIP6 models overestimate the frequency of water limitation by 14% over land and 26% in the tropics. Model overestimation occurs over 57% of the land area, and 78% in the tropics. These too frequent water-limited conditions are not conclusively linked to a potential underestimation of land water storage capacity in the models, hinting at gaps in how ESMs represent rooting depths, plant water uptake, and plant water-use strategies. Our study highlights the need for model development in these areas, with implications for projections of future climate on land.

Licensing

All code is licensed under AGPL-v3, and the manuscript and data are licensed as CC-BY.
DOI: 10.25345/c5xg9fp9t
title: MassIVE MSV000098125 - HNRC HIV Fecal Samples Batch 7
title: UCSD HNRC Batch 7 Fecal samples of people with and without HIV
DOI: 10.34740/kaggle/dsv/12133806
title: Malaysian States and City Coordinates
DOI: 10.5281/zenodo.15642899
title: Recursive Symbolic Stabilizers: Inertium × 〚 κ 〛

description: This paper presents a new symbolic stabilization method combining two mathematical components—Inertium, a time-based decay function, and ⟦κ⟧, an irrational constant derived from a golden-ratio-based recursive equation. Together, they form a hybrid stabilizer capable of preserving symbolic memory structures, reducing volatility, and maintaining coherence in noisy or drift-prone systems.

We demonstrate this stabilizer across three symbolic simulation tests:





Fidelity decay in entangled-like states,




Retention of symbolic memory loops,




Suppression of stochastic symbolic drift.



The results show that the stacked Inertium × ⟦κ⟧ model outperforms individual stabilizers in all cases, confirming the potential of recursive symbolic damping for advanced AI systems, modular computation, and emerging hybrid quantum-symbolic architectures.

Applications and future pathways are discussed, including symbolic cognition agents, recursive memory fields, and symbolic containment of unstable systems. The paper concludes with a roadmap for integration into both classical and quantum systems.
DOI: 10.5281/zenodo.15642898
title: Recursive Symbolic Stabilizers: Inertium × 〚 κ 〛

description: This paper presents a new symbolic stabilization method combining two mathematical components—Inertium, a time-based decay function, and ⟦κ⟧, an irrational constant derived from a golden-ratio-based recursive equation. Together, they form a hybrid stabilizer capable of preserving symbolic memory structures, reducing volatility, and maintaining coherence in noisy or drift-prone systems.

We demonstrate this stabilizer across three symbolic simulation tests:





Fidelity decay in entangled-like states,




Retention of symbolic memory loops,




Suppression of stochastic symbolic drift.



The results show that the stacked Inertium × ⟦κ⟧ model outperforms individual stabilizers in all cases, confirming the potential of recursive symbolic damping for advanced AI systems, modular computation, and emerging hybrid quantum-symbolic architectures.

Applications and future pathways are discussed, including symbolic cognition agents, recursive memory fields, and symbolic containment of unstable systems. The paper concludes with a roadmap for integration into both classical and quantum systems.
DOI: 10.15468/dl.jskub4
title: Occurrence Download

description: A dataset containing 65 species occurrences available in GBIF matching the query:
{
 "and" : [
 "ScientificName is Eragrostis rigidior Pilg.",
 "Geometry POLYGON((29.76451 -26.09643, 32.1599 -26.09643, 32.1599 -22.51877, 29.76451 -22.51877, 29.76451 -26.09643))"
 ]
}

 The dataset includes 65 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036680-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.44v744
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "ScientificName is Eragrostis obtusa Munro ex Ficalho & Hiern",
 "Geometry POLYGON((29.76451 -26.09643, 32.1599 -26.09643, 32.1599 -22.51877, 29.76451 -22.51877, 29.76451 -26.09643))"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036679-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.96chsg
title: Occurrence Download

description: A dataset containing 6451 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Luetkea pectinata (Pursh) Kuntze"
 ]
}

 The dataset includes 6451 records from 140 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036683-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cqdew9
title: Occurrence Download

description: A dataset containing 8397 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "DatasetKey is iNaturalist Research-grade Observations",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Cyanocitta cristata (Linnaeus, 1758)",
 "Year 2011-2018"
 ]
}

 The dataset includes 8397 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0174745-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.c28yye
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Primula pulverulenta Duthie"
 ]
}

 The dataset includes 8 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0162933-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hwc8wn
title: Occurrence Download

description: A dataset containing 11034 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Floristic diversity of protected areas in the north of Benin"
 ]
}

 The dataset includes 11034 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0340371-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qymjcr
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cassinia retorta A.Cunn. ex DC.",
 {
 "or" : [
 "BasisOfRecord is Human Observation",
 "BasisOfRecord is Observation"
 ]
 },
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032252-190918142434337/datasets/export for details.
DOI: 10.15468/dl.53tr6m
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is China",
 "Geometry POLYGON((82.35277 17.24421,118.64723 17.24421,118.64723 31.75579,82.35277 31.75579,82.35277 17.24421))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Primula interjacens F.H.Chen"
 ]
}

 The dataset includes 9 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0162937-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tj7nuu
title: Occurrence Download

description: A dataset containing 446 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Celmisia haastii Hook.fil.",
 {
 "or" : [
 "BasisOfRecord is Human Observation",
 "BasisOfRecord is Observation"
 ]
 },
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 446 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032259-190918142434337/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.va2gjb
title: Occurrence Download

description: A dataset containing 17660 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Fraxinus ornus L."
 ]
}

 The dataset includes 17660 records from 325 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020189-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.0iw3ym
title: Occurrence Download

description: A dataset containing 46 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Gomphrena holosericea (Moq.) Moq.",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 46 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000156-180412121330197/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dtgwxq
title: Occurrence Download

description: A dataset containing 715 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Episinus maculipes Cavanna, 1876, Gonatium paradoxum (L.Koch, 1869))",
 "Geometry POLYGON((-9.36035 44.71551,-10.59082 42.81152,-11.82129 36.80928,-7.69043 36.17336,-3.38379 35.88905,3.12012 38.13456,9.18457 38.20366,11.7334 37.16032,12.78809 34.74161,17.09473 33.79741, 23.15918 34.23451,30.10254 32.62087,33.2666 32.99024,35.72754 35.03,33.00293 35.53223,28.69629 35.17381,28.34473 36.31513,25.7959 37.50973,24.91699 39.90974,28.78418 40.6473,30.71777 41.17865,36.87012 45.213,38.18848 46.98025,38.71582 47.7541,39.94629 47.93107,40.20996 49.61071,37.0459 50.34546,35.72754 50.40152,33.79395 52.26816,31.68457 51.94426,31.4209 53.27835,32.56348 53.43572,30.98145 54.77535,30.89355 55.52863,28.43262 56.02295,27.20215 57.65716,27.37793 58.30949,27.90527 59.17593,29.66309 59.88894,27.6416 60.58697,31.50879 62.75473,28.78418 69.83962,30.89355 70.28912,29.22363 71.55274,21.75293 71.30079,14.28223 70.14036,11.38184 67.47492,4.87793 63.66576,-5.53711 71.52491,-10.63477 71.69129,-21.5332 67.74276,-28.56445 65.36684,-24.3457 61.35461,-9.36035 44.71551))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "Year is less than or equal to 2021"
 ]
}

 The dataset includes 715 records from 94 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0170200-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.11392972
title: QSage: Structural and Semantic Metric Analysis for Quantum Code Smell Detection
DOI: 10.5281/zenodo.11392973
title: QSage: Structural and Semantic Metric Analysis for Quantum Code Smell Detection
DOI: 10.15468/dl.mdh9h3
title: Occurrence Download

description: A dataset listing the 3436380 species recorded in GBIF matching the query:
{ }

 The dataset's 3436380 records were derived from 43444 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0190525-210914110416597/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.30121438
title: 赣南Prefecture.zip部分草地样品实测数据

description: This data is derived from the measured data of plant sample plots in Gannan Prefecture.
DOI: 10.6084/m9.figshare.30121438.v1
title: 赣南Prefecture.zip部分草地样品实测数据

description: This data is derived from the measured data of plant sample plots in Gannan Prefecture.
DOI: 10.5281/zenodo.17115745
title: Dataset: Vietnamese Real Estate Listings April-September 2025

description: This dataset contains cleaned and structured information on real estate listings in Vietnam, collected through a custom-built Python web scraper. The original data was sourced from publicly accessible Vietnamese real estate websites and processed to remove duplicates, normalize formats, and standardize key variables for analysis.

The dataset includes property-level details such as:





Listing metadata: date scraped, listing URL, listing type




Property characteristics: price, area, location, number of rooms, amenities




Geographic information: province, district, ward (where available)




Text data: raw title and description of the listing



Purpose:The dataset was created as part of a personal research project to study housing markets, property valuation, and investment strategies in Vietnam. It is intended to support further research in real estate economics, data science, and urban studies.
DOI: 10.5281/zenodo.17115744
title: Dataset: Vietnamese Real Estate Listings April-September 2025

description: This dataset contains cleaned and structured information on real estate listings in Vietnam, collected through a custom-built Python web scraper. The original data was sourced from publicly accessible Vietnamese real estate websites and processed to remove duplicates, normalize formats, and standardize key variables for analysis.

The dataset includes property-level details such as:





Listing metadata: date scraped, listing URL, listing type




Property characteristics: price, area, location, number of rooms, amenities




Geographic information: province, district, ward (where available)




Text data: raw title and description of the listing



Purpose:The dataset was created as part of a personal research project to study housing markets, property valuation, and investment strategies in Vietnam. It is intended to support further research in real estate economics, data science, and urban studies.
DOI: 10.15468/dl.hfvxm3
title: Occurrence Download

description: A dataset containing 253 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is France",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Ophrys tenthredinifera, Ophrys speculum speculum)",
 "Year 2020-2025"
 ]
}

 The dataset includes 253 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0061191-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ek4hxg
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Cichla cataractae)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0061192-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f84av8
title: Occurrence Download

description: A dataset containing 98 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Aconitum vilmorinianum"
 ]
}

 The dataset includes 98 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0061193-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.