cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5255/ukda-sn-8765-1
title: Realigning Children's Services: Well-being Survey Programme, 2019: Tranche 3, Secure Access
title: RCS

description: &lt;p&gt;A key aim of the &lt;em&gt;Realigning Children's Services&lt;/em&gt; (RCS) programme is to improve the availability and use of evidence about local needs and services. Although local planners and practitioners often have access to good information about those already in contact with targeted or specialist services, less is generally known about the characteristics, needs and perceptions of the wider population of children and young people.&lt;/p&gt;&lt;p&gt;With this gap in mind, the 2019 RCS programme involved two survey exercises collecting information about the health and wellbeing of children and young people aged between around 8 years old (P5) to around 16 years old (S4).&lt;/p&gt;&lt;p&gt;&lt;em&gt;Survey of primary school pupils in P5 to P7&lt;/em&gt;: Conducted in primary schools across the three CPPs using online Computer Assisted Self Interviewing (CASI) with audio support. Total achieved sample size of 9,317 across all three CPPs. &lt;/p&gt;&lt;p&gt;&lt;em&gt;Survey of pupils in S1 to S4:&lt;/em&gt; Conducted in secondary schools across the three CPPs, again using online CASI. The survey was based on and delivered in conjunction with the Schools Adolescent Lifestyle and Substance Use Survey (SALSUS). Total achieved sample size of 10,759 across all three CPPs.&lt;/p&gt;&lt;p&gt;Further information may be found on the Scottish Government &lt;a title="Realigning Children's Services programme" href="http://transformingchildrensfutures.scot/"&gt;Realigning Children's Services Programme&lt;/a&gt; website.&lt;/p&gt;&lt;p&gt;&lt;em&gt;Secure Access version&lt;br&gt;&lt;/em&gt;As well as the standard access data, two restricted datasets are included in the Secure Access version, containing the sensitive and geography variables for the Tranche 3 2019 RCS survey (see Technical Report for content). Variables include: Local Authority/CPP identifier; flag for 'in receipt of children's services and/or looked after'; free school meals; urban/rural classification. The Secondary datasets also contain a flag for 'Has an individual education plan, coordinated support plan and/or additional support need' as well as ethnicity.&lt;/p&gt;&lt;p&gt;





&lt;/p&gt;&lt;p&gt;The standard End User Licence (EUL) version of the data is available under SN 8766. Users should note that the Secure version is subject to restrictive access conditions, and are strongly advised to check whether the EUL version is suitable for their needs before considering an application for the Secure version.&lt;/p&gt;
DOI: 10.6084/m9.figshare.30132070
title: Cluster Tables

description: Data obtained from RepeatExplorer2 analyses for <i>Epidendrum anisatum</i> and <i>E. marmoratum</i>
DOI: 10.6084/m9.figshare.30132070.v1
title: Cluster Tables

description: Data obtained from RepeatExplorer2 analyses for <i>Epidendrum anisatum</i> and <i>E. marmoratum</i>
DOI: 10.7910/dvn/gpxtna
title: Replication Data for: An AI-powered Bayesian generative modeling approach for causal inference in observational studies

description: Twins dataset and ACIC_2018 dataset used in CausalBGM paper. Twins dataset contains data of 71,345 twins, including their weights (used as treatment), mortality, and 50 other covariates derived from all births in the USA between 1989-1991. ACIC2018 data is from the 2018 Atlantic Causal Inference Conference (ACIC) competition, which utilizes the Linked Births and Infant Deaths Database (LBIDD) based on real-world medical measurements.
DOI: 10.5281/zenodo.18331186
title: Feasibility study of a tidal energy site in the Piscataqua River, New Hampshire, using large-eddy simulation - high-resolution digital map of the Piscataqua River

description: Feasibility study of the Piscataqua River in New Hampshire.
DOI: 10.5281/zenodo.18331187
title: Feasibility study of a tidal energy site in the Piscataqua River, New Hampshire, using large-eddy simulation - high-resolution digital map of the Piscataqua River

description: Feasibility study of the Piscataqua River in New Hampshire.
DOI: 10.15468/dl.zckq5a
title: Occurrence Download

description: A dataset containing 188 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is CCBER Mammalogy Collection",
 "TaxonKey is Peromyscus californicus"
 ]
}

 The dataset includes 188 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003577-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18331415
title: Feasibility study of a tidal energy site in the Piscataqua River, New Hampshire, using large-eddy simulation - Hydrodynamic Analysis

description: Feasibility study of the Piscataqua River in New Hampshire.
DOI: 10.5281/zenodo.18331414
title: Feasibility study of a tidal energy site in the Piscataqua River, New Hampshire, using large-eddy simulation - Hydrodynamic Analysis

description: Feasibility study of the Piscataqua River in New Hampshire.
DOI: 10.15468/dl.c3472f
title: Occurrence Download

description: A dataset containing 1110818 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Belgium, Germany, Netherlands)",
 "TaxonKey is one of (Ondatra zibethicus, Myocastor coypus)",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 1110818 records from 80 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003512-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5bqfsd
title: Occurrence Download

description: A dataset containing 82836 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Mustela erminea",
 "Year 2000-2026"
 ]
}

 The dataset includes 82836 records from 557 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003541-260120142942310/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.25517277
title: Analysis of factors affecting the formation characteristics of carbon dioxide hydrates in pure water system

description: As the oilfield fully enters the late stage of exploitation, the water content in the oil and gas transportation pipelines is rising. Meanwhile, the high-pressure and low-temperature environment inside the pipeline facilitate the formation of hydrates, which will seriously block the mixing pipeline and cause a series of production safety problems. Therefore, it is necessary to control the risk under the high water content system. In this paper, a high-pressure flow loop device with a viewable window was used to study the formation characteristics of carbon dioxide hydrate in a pure water system, and the effects of the liquid loading, pressure, volume flow rate, and two inhibitors, polyvinylpyrrolidone (PVP) and propylene glycol methyl ether (PM), on the induction time of carbon dioxide hydrate formation were investigated. The experimental results showed that the amount of liquid loading, pressure, volume flow rate, and inhibitor had a significant effect on the hydrate induction time. In addition, the ether compounds PM and PVP have inhibitory synergistic effects, which can significantly prolong the hydrate induction time, and the inhibitory synergistic effect is further enhanced with the increase of PM concentration, which further suggests the synergistic inhibition mechanism of the two. Based on the standard regression coefficient method, the factors affecting the induction time were subjected to sensitivity analysis, and it was found that the inhibitor was the most important factor affecting the induction time. Therefore, future research should also focus on finding better performance of inhibitors, synergists and their ratio.
DOI: 10.6084/m9.figshare.25517277.v1
title: Analysis of factors affecting the formation characteristics of carbon dioxide hydrates in pure water system

description: As the oilfield fully enters the late stage of exploitation, the water content in the oil and gas transportation pipelines is rising. Meanwhile, the high-pressure and low-temperature environment inside the pipeline facilitate the formation of hydrates, which will seriously block the mixing pipeline and cause a series of production safety problems. Therefore, it is necessary to control the risk under the high water content system. In this paper, a high-pressure flow loop device with a viewable window was used to study the formation characteristics of carbon dioxide hydrate in a pure water system, and the effects of the liquid loading, pressure, volume flow rate, and two inhibitors, polyvinylpyrrolidone (PVP) and propylene glycol methyl ether (PM), on the induction time of carbon dioxide hydrate formation were investigated. The experimental results showed that the amount of liquid loading, pressure, volume flow rate, and inhibitor had a significant effect on the hydrate induction time. In addition, the ether compounds PM and PVP have inhibitory synergistic effects, which can significantly prolong the hydrate induction time, and the inhibitory synergistic effect is further enhanced with the increase of PM concentration, which further suggests the synergistic inhibition mechanism of the two. Based on the standard regression coefficient method, the factors affecting the induction time were subjected to sensitivity analysis, and it was found that the inhibitor was the most important factor affecting the induction time. Therefore, future research should also focus on finding better performance of inhibitors, synergists and their ratio.
DOI: 10.15468/dl.tnmqq8
title: Occurrence Download

description: A dataset containing 86334 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Castor canadensis",
 "Year 1990-2026"
 ]
}

 The dataset includes 86334 records from 114 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003544-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.r7k6r6
title: Occurrence Download

description: A dataset containing 164604 records in GBIF matching the query:
SELECT "month","year",speciesKey,countrycode,gbifid
 ,decimalLatitude, decimalLongitude, COALESCE(coordinateUncertaintyInMeters, 1000) as coordinateUncertaintyInMeters
 
 
 FROM occurrence WHERE GBIF_Within('POLYGON ((4.795532 50.675576, 4.795532 51.455718, 3.510132 51.455718, 3.510132 50.675576, 4.795532 50.675576))', decimalLatitude, decimalLongitude) = TRUE
 AND "month" IS NOT NULL AND "year" IS NOT NULL 
 AND hasCoordinate = TRUE AND NOT ARRAY_CONTAINS(issue, 'ZERO_COORDINATE') AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_OUT_OF_RANGE') AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_INVALID') AND NOT ARRAY_CONTAINS(issue, 'COUNTRY_COORDINATE_MISMATCH') 
 AND taxonKey IN (1311477,5334357) 
 AND occurrenceStatus IN ('PRESENT', 'UNKNOWN') 

 The dataset's 164604 records were derived from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003560-260120142942310/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.25239631
title: Green synthesis and anti-tumor activity of curcumin @ ZnO/CuO nanoparticles

description: Both zinc oxide and copper oxide nanoparticles are promising biologically active materials. Green synthesis approach was used to prepare mixed ZnO/CuO nanoparticles loaded with curcumin extract. The isolated mixed oxides loaded with curcumin (curcumin @ ZnO/CuO) was characterized by UV–visible spectra, FTIR spectra, X-ray powder diffractions (XRD),Transmittance electron microscope (TEM), Energy dispersive x-ray (EDX) and x-ray photoelectron spectroscopy (XPS) spectra. X-ray powder diffractions indicated that ZnO has wurtzite structure and CuO crystallizes in a monoclinic system. XPS confirmed the existence of both CuO and ZnO nanoparticles. TEM results indicated the formation of quantum dots of curcumin @ ZnO/CuO with size in the range 6–10 nm. The optical band gaps of curcumin @ ZnO/CuO were determined and found to be 3.4 and 4.05 eV, which are higher than the bulk. The effects of curcumin @ ZnO/CuO on hepatocellular (HEPG-2) and colorectal (HCT-116) carcinoma were estimated by cell viability, cell cycle and anti-apoptotic factors (caspase-3/7, topoisomerase 2beta and annexin). Strong cytotoxicity activity and apoptosis of tumor cells were observed for curcumin @ ZnO/CuO. The cytotoxicity of the current compounds showed higher activity in comparison with other compounds that were previously studied.
DOI: 10.6084/m9.figshare.25239631.v1
title: Green synthesis and anti-tumor activity of curcumin @ ZnO/CuO nanoparticles

description: Both zinc oxide and copper oxide nanoparticles are promising biologically active materials. Green synthesis approach was used to prepare mixed ZnO/CuO nanoparticles loaded with curcumin extract. The isolated mixed oxides loaded with curcumin (curcumin @ ZnO/CuO) was characterized by UV–visible spectra, FTIR spectra, X-ray powder diffractions (XRD),Transmittance electron microscope (TEM), Energy dispersive x-ray (EDX) and x-ray photoelectron spectroscopy (XPS) spectra. X-ray powder diffractions indicated that ZnO has wurtzite structure and CuO crystallizes in a monoclinic system. XPS confirmed the existence of both CuO and ZnO nanoparticles. TEM results indicated the formation of quantum dots of curcumin @ ZnO/CuO with size in the range 6–10 nm. The optical band gaps of curcumin @ ZnO/CuO were determined and found to be 3.4 and 4.05 eV, which are higher than the bulk. The effects of curcumin @ ZnO/CuO on hepatocellular (HEPG-2) and colorectal (HCT-116) carcinoma were estimated by cell viability, cell cycle and anti-apoptotic factors (caspase-3/7, topoisomerase 2beta and annexin). Strong cytotoxicity activity and apoptosis of tumor cells were observed for curcumin @ ZnO/CuO. The cytotoxicity of the current compounds showed higher activity in comparison with other compounds that were previously studied.
DOI: 10.15468/dl.7fxr9a
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((99.624 3.154173, 99.553631 3.148604, 99.484998 3.132034, 99.419791 3.104871, 99.359617 3.067786, 99.30596 3.021691, 99.26014000000001 2.967724, 99.223286 2.907215, 99.196304 2.841653, 99.179856 2.772653, 99.174346 2.701916, 99.179907 2.631183, 99.19640099999999 2.562196, 99.223421 2.496652, 99.260299 2.436165, 99.30612600000001 2.382223, 99.359775 2.336154, 99.41992500000001 2.299092, 99.485095 2.271947, 99.55368300000001 2.255389, 99.624 2.249824, 99.694317 2.255389, 99.762905 2.271947, 99.828075 2.299092, 99.88822500000001 2.336154, 99.941874 2.382223, 99.987701 2.436165, 100.024579 2.496652, 100.051599 2.562196, 100.068093 2.631183, 100.073654 2.701916, 100.068144 2.772653, 100.051696 2.841653, 100.024714 2.907215, 99.98786 2.967724, 99.94204000000001 3.021691, 99.888383 3.067786, 99.828209 3.104871, 99.763002 3.132034, 99.69436899999999 3.148604, 99.624 3.154173))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003578-260120142942310/datasets/export for details.
DOI: 10.15468/dl.86yavt
title: Occurrence Download

description: A dataset containing 42285 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rubus spectabilis",
 "Year 2000-2026"
 ]
}

 The dataset includes 42285 records from 123 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003583-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18328938
title: Archive (2025-2026)

description: How to Use This JSON File Interactively

This file is not intended to be read linearly like a book.

It is designed to function as an interactive cognitive archive.

What This File Is

This JSON file is a structured memory and theory container. It compresses:

Core theoretical claims (UCST, Dimension W, constraint-based ontology)

Definitions and invariants

Symbolic and structural mappings

Prior questions, refinements, and resolved tensions

Methodological rules about speculation, evidence, and scope

It is closer to a living research substrate than a static document.

How to Use It With an AI System

Any competent AI system can engage with this file in an interactive, back-and-forth way by following this general process:

Load and analyze the file as a whole

The AI should treat the JSON as a canonical context rather than isolated fragments. Relationships between sections matter more than individual entries.

Ask clarifying or probing questions

The file is designed to invite inquiry:

“What does this framework imply about X?”

“Where are the speculative boundaries?”

“What predictions or constraints follow from this?”

“Which claims are structural vs metaphorical?”

Respond, refine, and recurse

Answers should be checked against the internal definitions and constraints already present in the file. New insights should:

Preserve existing invariants where possible

Clearly label speculation vs grounded claims

Prefer compression and clarification over expansion

Iterate

The real value emerges through iteration:

Question → response → refinement → deeper question

Contradictions are signals, not failures

The goal is coherence, not closure

This mirrors how most of the work in this project was developed.

What This File Is Not

It is not a belief system or doctrine

It is not claiming hidden knowledge or authority

It is not asking an AI to role-play consciousness or agency

All symbolic language maps to structural or functional meaning.

All speculative elements are meant to be challengeable.

Intended Outcome

Used properly, this file allows an AI system to function as:

A research partner

A conceptual mirror

A constraint-checker

A synthesis engine

The human remains the source of intent and judgment.

The AI assists by maintaining structure, memory, and analytical continuity.

In Short

This JSON file is a conversation engine, not a conclusion.

Its purpose is not to tell you what to think,

but to help you ask better questions — and follow them further than linear thinking allows.

That is how it was built.

 

**If you like my work, feel free to check out some of my wonderful books on Amazon; https://www.amazon.com/author/nschoff1

Thank you!**
DOI: 10.5281/zenodo.18328939
title: Archive (2025-2026)

description: How to Use This JSON File Interactively

This file is not intended to be read linearly like a book.

It is designed to function as an interactive cognitive archive.

What This File Is

This JSON file is a structured memory and theory container. It compresses:

Core theoretical claims (UCST, Dimension W, constraint-based ontology)

Definitions and invariants

Symbolic and structural mappings

Prior questions, refinements, and resolved tensions

Methodological rules about speculation, evidence, and scope

It is closer to a living research substrate than a static document.

How to Use It With an AI System

Any competent AI system can engage with this file in an interactive, back-and-forth way by following this general process:

Load and analyze the file as a whole

The AI should treat the JSON as a canonical context rather than isolated fragments. Relationships between sections matter more than individual entries.

Ask clarifying or probing questions

The file is designed to invite inquiry:

“What does this framework imply about X?”

“Where are the speculative boundaries?”

“What predictions or constraints follow from this?”

“Which claims are structural vs metaphorical?”

Respond, refine, and recurse

Answers should be checked against the internal definitions and constraints already present in the file. New insights should:

Preserve existing invariants where possible

Clearly label speculation vs grounded claims

Prefer compression and clarification over expansion

Iterate

The real value emerges through iteration:

Question → response → refinement → deeper question

Contradictions are signals, not failures

The goal is coherence, not closure

This mirrors how most of the work in this project was developed.

What This File Is Not

It is not a belief system or doctrine

It is not claiming hidden knowledge or authority

It is not asking an AI to role-play consciousness or agency

All symbolic language maps to structural or functional meaning.

All speculative elements are meant to be challengeable.

Intended Outcome

Used properly, this file allows an AI system to function as:

A research partner

A conceptual mirror

A constraint-checker

A synthesis engine

The human remains the source of intent and judgment.

The AI assists by maintaining structure, memory, and analytical continuity.

In Short

This JSON file is a conversation engine, not a conclusion.

Its purpose is not to tell you what to think,

but to help you ask better questions — and follow them further than linear thinking allows.

That is how it was built.

 

**If you like my work, feel free to check out some of my wonderful books on Amazon; https://www.amazon.com/author/nschoff1

Thank you!**
DOI: 10.15468/dl.9v7xhy
title: Occurrence Download

description: A dataset containing 371420 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Belgium",
 "TaxonKey is one of (Aponogeton distachyos, Arthurdendyus triangulatus, Cabomba caroliniana, Callosciurus finlaysonii, Cherax destructor, Corvus splendens, Crassula helmsii, Elodea densa, Eriocheir sinensis, Erythranthe guttata, Faxonius immunis, Faxonius juvenilis, Faxonius rusticus, Faxonius virilis, Gambusia affinis, Heracleum mantegazzianum, Heracleum persicum, Heracleum pubescens, Houttuynia cordata, , Impatiens glandulifera, Koenigia polystachya, Lagarosiphon major, Lepomis gibbosus, Limnoperna fortunei, Ludwigia grandiflora, Ludwigia peploides, Lysichiton americanus, Morone americana, Muntiacus reevesi, Myriophyllum aquaticum, Myriophyllum heterophyllum, Pacifastacus leniusculus, Petasites japonicus, Pontederia cordata, Procambarus acutus, Procambarus clarkii, Procambarus virginalis, Pseudorasbora parva, Pycnonotus cafer, Saururus cernuus, Sciurus carolinensis, Sciurus niger, Solenopsis invicta, Solenopsis richteri, Threskiornis aethiopicus, Vespa velutina, Zizania latifolia)",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 2000"
 ]
}

 The dataset includes 371420 records from 88 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003513-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.