cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.nbhgdn
title: Occurrence Download

description: A dataset containing 21 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Megaleporinus elongatus (Valenciennes, 1850)"
 ]
}

 The dataset includes 21 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0074562-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2mfhkg
title: Occurrence Download

description: A dataset containing 11346 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Urocyon cinereoargenteus (Schreber, 1775)"
 ]
}

 The dataset includes 11346 records from 165 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000341-190621201848488/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mh5gyk
title: Occurrence Download

description: A dataset containing 294 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Marmota bobak (Müller, 1776)"
 ]
}

 The dataset includes 294 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030968-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.crmy67
title: Occurrence Download

description: A dataset containing 108856 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Herbarium Senckenbergianum (FR) - Fungi"
 ]
}

 The dataset includes 108856 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020999-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s2mdfm
title: Occurrence Download

description: A dataset containing 327 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-95.263 47.724,-90 47.724,-90 51.886,-95.263 51.886,-95.263 47.724))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Setophaga castanea (A.Wilson, 1810)",
 "Year 1995-2005"
 ]
}

 The dataset includes 327 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0078220-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ckjrel
title: Occurrence Download

description: A dataset containing 28 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Eriosyce crispa (F.Ritter) Katt."
 ]
}

 The dataset includes 28 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032008-181108115102211/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4cchsk
title: Occurrence Download

description: A dataset containing 538251 species occurrences available in GBIF matching the query:
{
 "Country" : [
 "is Kenya"
 ]
}

 The dataset includes 538251 records from 600 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004877-160623103540712/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.b5frhg
title: Occurrence Download

description: A dataset containing 143 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Milvago chimachima (Vieillot, 1816)",
 "Year 2024-2024"
 ]
}

 The dataset includes 143 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018003-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wjazrd
title: Occurrence Download

description: A dataset containing 164112 species occurrences available in GBIF matching the query:
{
 "and" : [
 "SpeciesKey is one of (Polygala vulgaris L.)",
 "BasisOfRecord is one of (Human Observation, Observation, Occurrence evidence)",
 "Year is greater than or equal to 1901",
 "Year is less than or equal to 2019",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 164112 records from 954 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018002-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7pguth
title: Occurrence Download

description: A dataset containing 388 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Georgia",
 "TaxonKey is Rhinolophus ferrumequinum (Schreber, 1774)"
 ]
}

 The dataset includes 388 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018006-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14026309
title: Dataset for "Predicting the Strength of Composites with Computer Vision Using Small Experimental Datasets"

description: Composite_Strength_Prediction_by_CNN_v1.0
DOI: 10.5281/zenodo.14026497
title: Dataset for "Predicting the Strength of Composites with Computer Vision Using Small Experimental Datasets"

description: Composite_Strength_Prediction_by_CNN_v1.0
DOI: 10.5281/zenodo.14025975
title: Dataset for "Predicting the Strength of Composites with Computer Vision Using Small Experimental Datasets"

description: Composite_Strength_Prediction_by_CNN_v1.0
DOI: 10.5281/zenodo.14026467
title: Dataset for "Predicting the Strength of Composites with Computer Vision Using Small Experimental Datasets"

description: Composite_Strength_Prediction_by_CNN_v1.0
DOI: 10.6073/pasta/dfcece0477f2307fc5bec596b40ea0fe
title: Missouri reservoir profile data including depth, temperature, oxygen, photopigments, conductivity, pH, turbidity, and oxidative-reductive potential starting in 2023

description: This dataset of annual limnological profiles starts in 2023 and is from reservoirs in the state of Missouri (MO) in the USA collected by the University of Missouri Limnology Lab. Physical parameters derived from sensors include temperature and oxygen with depth. Sondes used were Yellow Springs Instruments (YSI) EXO3s; profiles include a range of physical, chemical, and biological parameters including depth, conductivity, pH, oxidative-reductive potential (ORP), chlorophyll a, phycocyanin (PC), and turbidity. After May 2024, the turbidity sensor was replaced with a phycoerythrin (PE) sensor. Most of the profiles were collected during the summer months (May-September) when the reservoirs were thermally stratified, but a few were taken during the rest of the year (October-April). The majority of profiles were taken at the deepest point in the reservoir directly up-reservoir of the dam. Sampling was conducted from a boat. The bulk of the data come from the Statewide Lake Assessment Project (SLAP), funded by the Missouri Department of Natural Resources. The profiles are divided into single files for each year. This data has been quality controlled for basic errors and any data outside of normal factory issued sensor ranges.
DOI: 10.34943/8e0f3b9b-42de-4e38-8e4e-4d697b9c4657
title: Cascadia Basin Bottom Pressure Recorder Deployed 2012-06-07

description: The NRCan Bottom Pressure Recorder 85 was deployed on 2012-06-07 at Cascadia Basin. Cascadia Basin is located in the abyssal plain of the Pacific Ocean. At this location, hydrologic conditions in sediment-sealed igneous crust, Tsunami propagation, cool-water deep-sea microbes, and abyssal plain ecosystems are observed. This device is a Bottom Pressure Recorder. Bottom Pressure Recorders (BPR) are instruments that can detect small changes in pressure on the seafloor. It was deployed on a fixed platform. Data from this deployment were archived and made available through Ocean Networks Canada's Oceans 3.0 digital infrastructure, with quality assurance and derived data products following established practices.
DOI: 10.6084/m9.figshare.25707588.v1
title: Presence and locations of sand ridges on the shelf strongly impact decadal evolution of adjacent shorelines: a model study

description: Several field and model studies indicate that the decadal evolution of shorelines is affected by the presence of shoreface-connected sand ridges (sfcr) and tidal sand ridges (tsr) on the shelf.This study uses a coupled shelf-shoreline numerical model to quantify the joint impact of tsr and sfcr on decadal shoreline evolution. Additionally, it examines the dependence of this evolution on cross-shore and longshore displacements of the sfcr, thereby mimicking the observed cross-shore and longshore migrations of sfcr on the shelf.<br>Model results indicate shoreline progradation near the crests of the sfcr and retreat near the channels between the ridges and the coast, consistent with observations. Compared to sfcr, the impact of tsr on nearshore dynamics is smaller yet significant. When the sfcr are positioned more onshore, shoreline progradation and retreat become stronger. These shoreline undulations have amplitudes that strongly increase as sfcr approach the shoreline, and the undulations shift alongshore with the alongshore shift of the sfcr. Based on these results, it is anticipated that the observed onshore and alongshore migration of sfcr on the shelf will enhance shoreline retreat near the channels and progradation near sfcr crests, with these shoreline changes migrating alongshore with the ridges.
DOI: 10.15468/dl.jbpanb
title: Occurrence Download

description: A dataset containing 1422 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Ontherus lunicollis Génier, 1996"
 ]
}

 The dataset includes 1422 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018008-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3p3tdv
title: Occurrence Download

description: A dataset containing 7295901 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Molothrus ater (Boddaert, 1783)"
 ]
}

 The dataset includes 7295901 records from 141 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018004-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2zsq7r
title: Occurrence Download

description: A dataset containing 6387114 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Parkesia noveboracensis (J.F.Gmelin, 1789), Parkesia motacilla (Vieillot, 1809), Helmitheros vermivorum (J.F.Gmelin, 1789), Seiurus aurocapilla (Linnaeus, 1766), Euphagus cyanocephalus (Wagler, 1829))"
 ]
}

 The dataset includes 6387114 records from 379 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018005-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.em7ej8
title: Occurrence Download

description: A dataset containing 5002 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Argentina",
 "Month is October",
 "TaxonKey is Hirundo Linnaeus, 1758",
 "Year 2020-2024"
 ]
}

 The dataset includes 5002 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018009-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tyscqs
title: Occurrence Download

description: A dataset containing 314254 species occurrences available in GBIF matching the query:
{
 "and" : [
 "SpeciesKey is one of (Primula veris L.)",
 "BasisOfRecord is one of (Human Observation, Observation, Occurrence evidence)",
 "Year is greater than or equal to 1901",
 "Year is less than or equal to 2019",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 314254 records from 1266 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018007-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3rudqt
title: Occurrence Download

description: A dataset containing 91 species occurrences available in GBIF matching the query:
{
 "and" : [
 "ScientificName is Chloris virgata Sw.",
 "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 91 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0064796-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.a39gff
title: Occurrence Download

description: A dataset containing 72 species occurrences available in GBIF matching the query:
{
 "and" : [
 "ScientificName is Clutia affinis Sond.",
 "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 72 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0064797-250525065834625/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.29106196
title: Drought stress and artificial mycorrhization: divergent growth responses in Pedunculate oak (<i>Quercus robur</i> L.) and Scots pine (<i>Pinus sylvestris</i> L.) seedlings

description: Understanding the interactions between mycorrhizal fungi and trees in drought conditions is increasingly important for forest sustainability. We conducted a water manipulation experiment with <i>Quercus robur</i> (oak) and <i>Pinus sylvestris</i> (pine) seedlings, both inoculated with the ectomycorrhizal fungus <i>Hebeloma crustuliniforme</i>. Over three years, we examined how varying water regimes (sublethal drought, water deficit, optimal supply) impacted the above – and belowground growth and allometry of mycorrhized and non-mycorrhized seedlings to assess the effects of mycorrhization under different water availability conditions. Responses to water regimes were species-specific and influenced by mycorrhization. Pine exhibited significant effects on aboveground parameters, particularly diameter, while belowground traits and allometry under drought showed smaller differences between mycorrhized and non-mycorrhized seedlings. Drought stress in mycorrhized pine resulted in a less favorable, lower root-to-leaf ratio. In contrast, oak responded to mycorrhization with greater height, total biomass, and root architecture, compared to non-mycorrhized seedlings, especially under optimal conditions. Our findings suggest that the growth mechanisms in young oak may enhance rooting, potentially leading to improved efficiency in mycorrhizal utilization. However, drought negatively affected seedlings of both species and their symbiont, highlighting the limited effectiveness of artificial mycorrhization in mitigating the challenges posed by climate change.
DOI: 10.6084/m9.figshare.29106196.v1
title: Drought stress and artificial mycorrhization: divergent growth responses in Pedunculate oak (<i>Quercus robur</i> L.) and Scots pine (<i>Pinus sylvestris</i> L.) seedlings

description: Understanding the interactions between mycorrhizal fungi and trees in drought conditions is increasingly important for forest sustainability. We conducted a water manipulation experiment with <i>Quercus robur</i> (oak) and <i>Pinus sylvestris</i> (pine) seedlings, both inoculated with the ectomycorrhizal fungus <i>Hebeloma crustuliniforme</i>. Over three years, we examined how varying water regimes (sublethal drought, water deficit, optimal supply) impacted the above – and belowground growth and allometry of mycorrhized and non-mycorrhized seedlings to assess the effects of mycorrhization under different water availability conditions. Responses to water regimes were species-specific and influenced by mycorrhization. Pine exhibited significant effects on aboveground parameters, particularly diameter, while belowground traits and allometry under drought showed smaller differences between mycorrhized and non-mycorrhized seedlings. Drought stress in mycorrhized pine resulted in a less favorable, lower root-to-leaf ratio. In contrast, oak responded to mycorrhization with greater height, total biomass, and root architecture, compared to non-mycorrhized seedlings, especially under optimal conditions. Our findings suggest that the growth mechanisms in young oak may enhance rooting, potentially leading to improved efficiency in mycorrhizal utilization. However, drought negatively affected seedlings of both species and their symbiont, highlighting the limited effectiveness of artificial mycorrhization in mitigating the challenges posed by climate change.
DOI: 10.5281/zenodo.15719853
title: SEE: Symbolic Execution Engine Reproducibility Suite v1.1.0 (Code-Free Archive)

description: This archive contains the complete testing and reproducibility suite for SEE — the Symbolic Ecosystem Engine. While the engine’s source code is not included, this archive provides frozen symbolic test payloads, execution trace logs, regression deltas, and full documentation of the evaluation strategy.

The deposit supports symbolic reasoning research by offering transparent, verifiable, and reusable materials. All test phases are versioned, trace-backed, and aligned with the associated manuscript.

Included Files:



Replay_Payloads_v1.json — 50 symbolic motif input sequences

SEE_Phase3_Baseline_TraceLog.json — trace output from SEE v1

SEE_Phase3_TraceLog_v2_SIMULATED.json — alternate execution simulation

SEE_Phase3_Regression_Deltas_v1_vs_v2.json — symbolic regression analysis

SEE_ENGINE_CHECKSUM.txt — SHA256 digests of the excluded engine source

SEE_Testing_Strategy_Expanded_v1.1_FINAL.md — detailed evaluation narrative

README_SEE_TestSuite_AIJournal_Template.txt — artifact summary (AIJ-compliant)

SEE_Reviewer_Guide_v1.1.txt — reviewer instructions

Appendix.txt, SEE_Test_Suite_Release_Notes_v1.1.txt


Privacy & Licensing:

This archive does not contain the SEE source code. However, the exact engine version is verifiable using SHA256 digests. All materials are released under the Creative Commons Attribution 4.0 International (CC BY 4.0) license.

Recommended Citation:

SEE: Symbolic Ecosystem Engine Reproducibility Suite v1.1.0 (Code-Free Archive)

Pierre de Mûelenaere

Zenodo, 2025. DOI: https://doi.org/10.5281/zenodo.15719854
description: Privacy and Licensing Statement

This archive provides a complete, reproducible test suite for the Symbolic Ecosystem Engine (SEE), including frozen inputs, trace outputs, regression deltas, and full evaluation methodology. The SEE source code is intentionally excluded.

The exact engine version used in testing is independently verifiable via included SHA256 digests. While the outputs reflect engine behavior under controlled symbolic conditions, they do not expose implementation logic, internal architecture, or executable code paths. SEE’s operational structure—including recursion handling, patch logic, and orchestration protocols—remains protected and is not derivable from this dataset.

All evaluation outputs represent non-reversible symbolic execution signatures, intended for academic validation and peer review only. This archive is released under the Creative Commons Attribution 4.0 International (CC BY 4.0) license.
DOI: 10.5281/zenodo.15719854
title: SEE: Symbolic Execution Engine Reproducibility Suite v1.1.0 (Code-Free Archive)

description: This archive contains the complete testing and reproducibility suite for SEE — the Symbolic Ecosystem Engine. While the engine’s source code is not included, this archive provides frozen symbolic test payloads, execution trace logs, regression deltas, and full documentation of the evaluation strategy.

The deposit supports symbolic reasoning research by offering transparent, verifiable, and reusable materials. All test phases are versioned, trace-backed, and aligned with the associated manuscript.

Included Files:



Replay_Payloads_v1.json — 50 symbolic motif input sequences

SEE_Phase3_Baseline_TraceLog.json — trace output from SEE v1

SEE_Phase3_TraceLog_v2_SIMULATED.json — alternate execution simulation

SEE_Phase3_Regression_Deltas_v1_vs_v2.json — symbolic regression analysis

SEE_ENGINE_CHECKSUM.txt — SHA256 digests of the excluded engine source

SEE_Testing_Strategy_Expanded_v1.1_FINAL.md — detailed evaluation narrative

README_SEE_TestSuite_AIJournal_Template.txt — artifact summary (AIJ-compliant)

SEE_Reviewer_Guide_v1.1.txt — reviewer instructions

Appendix.txt, SEE_Test_Suite_Release_Notes_v1.1.txt


Privacy & Licensing:

This archive does not contain the SEE source code. However, the exact engine version is verifiable using SHA256 digests. All materials are released under the Creative Commons Attribution 4.0 International (CC BY 4.0) license.

Recommended Citation:

SEE: Symbolic Ecosystem Engine Reproducibility Suite v1.1.0 (Code-Free Archive)

Pierre de Mûelenaere

Zenodo, 2025. DOI: https://doi.org/10.5281/zenodo.15719854
description: Privacy and Licensing Statement

This archive provides a complete, reproducible test suite for the Symbolic Ecosystem Engine (SEE), including frozen inputs, trace outputs, regression deltas, and full evaluation methodology. The SEE source code is intentionally excluded.

The exact engine version used in testing is independently verifiable via included SHA256 digests. While the outputs reflect engine behavior under controlled symbolic conditions, they do not expose implementation logic, internal architecture, or executable code paths. SEE’s operational structure—including recursion handling, patch logic, and orchestration protocols—remains protected and is not derivable from this dataset.

All evaluation outputs represent non-reversible symbolic execution signatures, intended for academic validation and peer review only. This archive is released under the Creative Commons Attribution 4.0 International (CC BY 4.0) license.
DOI: 10.15468/dl.bggue8
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cyclostephanos F.E.Round ex Theriot, Hakansson, Kociolek, Round & Stoermer, 1987",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((25.5395 -28.5786,20.509 -28.5786,20.509 -32.9007,25.5395 -32.9007,25.5395 -28.5786))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0064799-250525065834625/datasets/export for details.