cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3886/e208143
title: Data and Code for: Start-up Costs and Market Power: Lessons from the Renewable Energy Transition

description: This is the replication package for Start-up Costs and Market Power: Lessons from the Renewable Energy Transition authored by Akshaya Jha and Gordon Leslie.<b><br><br>Abstract: </b>Firms expect to recover the fixed costs required to start production by earning positive operating profits in subsequent periods. We develop a dynamic competitive benchmark that accounts for start-up costs, showing that static markups overstate the rents attributable to market power in an electricity market where generators frequently stop and start production in response to rooftop solar output. We demonstrate that the large-scale expansion of solar capacity can lead to increases in the collective profitability of fossil-fuel plants because competition softens at sunset---plants displaced by solar during the day must incur start-up costs to compete in the evening.
description: Response Rates: These data cover the universe of electricity generating units operating in the WEM covering the SWIS.
description: These data cover the universe of electricity generating units operating in the WEM covering the SWIS.
description: This analysis covers the wholesale electricity market (WEM) covering the south-west of Western Australia via the South West Interconnected System (SWIS).  . Smallest Geographic Unit: Western Australia
description: other;
DOI: 10.15468/dl.pqpary
title: Occurrence Download

description: A dataset containing 3052 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cervus nippon Temminck, 1838",
 "Country is United Kingdom of Great Britain and Northern Ireland",
 "Year is greater than or equal to 1500"
 ]
}

 The dataset includes 3052 records from 49 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0060335-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14556382
title: Identification of the fragments excavated in September 1952 from Qumran Cave 4 on the so-called E(xcavation) photographs

description: The Excel file lists which fragments on the Qumran Cave 4 excavation fragments have been published, and under which manuscript and fragment number, and which could not be identified as having been published. 

Revised version with more identifications by Stephen Reed, and some corrections of typos.
DOI: 10.5281/zenodo.14556383
title: Identification of the fragments excavated in September 1952 from Qumran Cave 4 on the so-called E(xcavation) photographs

description: The Excel file lists which fragments on the Qumran Cave 4 excavation fragments have been published, and under which manuscript and fragment number, and which could not be identified as having been published.
DOI: 10.5281/zenodo.14610590
title: Identification of the fragments excavated in September 1952 from Qumran Cave 4 on the so-called E(xcavation) photographs

description: The Excel file lists which fragments on the Qumran Cave 4 excavation fragments have been published, and under which manuscript and fragment number, and which could not be identified as having been published. 

Revised version with more identifications by Stephen Reed, and some corrections of typos.
DOI: 10.57745/uhj1qb
title: slice00545.tif

description: :unav
DOI: 10.57745/pjib8h
title: slice00949.tif

description: :unav
DOI: 10.57745/ppgba7
title: slice00265.tif

description: :unav
DOI: 10.15468/dl.psjbfl
title: Occurrence Download

description: A dataset containing 15501 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "TaxonKey is Diuca diuca (Molina, 1782)"
 ]
 },
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 15501 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042649-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cvgu6u
title: Occurrence Download

description: A dataset containing 233 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((71.33929 18.67683,71.72069 8.76047,95.46275 -8.68851,123.01879 -10.59551,128.07232 -4.49313,116.43967 25.44665,102.80467 25.9234,83.6394 18.77218,71.33929 18.67683))",
 "TaxonKey is Syzygium zeylanicum (L.) DC."
 ]
}

 The dataset includes 233 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000979-240130105604617/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wmwbna
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Brachionidium puraceense Luer"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0148575-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cpqbte
title: Occurrence Download

description: A dataset containing 28 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Catasetum pulchrum N.E.Br."
 ]
}

 The dataset includes 28 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0148572-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.u6pmz6
title: Occurrence Download

description: A dataset containing 60 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Byrsonima gymnocalycina A.Juss."
 ]
}

 The dataset includes 60 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0148574-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2ixwxc
title: Occurrence Download

description: A dataset containing 58 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "TaxonKey is Dreissena rostriformis (Deshayes, 1838)",
 "TaxonKey is Dryodurgades antoniae (Melichar, 1907)"
 ]
 },
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 58 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042650-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vuts72
title: Occurrence Download

description: A dataset containing 1578 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Gomphrena globosa L.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1578 records from 213 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000981-240130105604617/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rj4rik
title: Occurrence Download

description: A dataset containing 516 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cepaea nemoralis (Linnaeus, 1758)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is Specimen"
 ]
}

 The dataset includes 516 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042646-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s4jhjp
title: Occurrence Download

description: A dataset containing 11737 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Panthera leo (Linnaeus, 1758)"
 ]
}

 The dataset includes 11737 records from 168 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000983-240130105604617/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.iuxct9
title: Occurrence Download

description: A dataset containing 945 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "TaxonKey is Chaetogammarus marinus (Leach, 1816)",
 "TaxonKey is Echinopsis pachanoi (Britton & Rose) H.Friedrich & G.D.Rowley",
 "TaxonKey is Echinopsis schickendantzii F.A.C.Weber",
 "TaxonKey is Echium simplex DC.",
 "TaxonKey is Ectopistes migratorius (Linnaeus, 1766)",
 "TaxonKey is Edwardsiana nigriloba (Edwards, 1924)"
 ]
 },
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 945 records from 92 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042652-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.whqgeq
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Limonium divaricatum (Pignatti) Brullo",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 9 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000487-240202131308920/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.0bvs8n
title: Occurrence Download

description: A dataset containing 31 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Bejaria tachirensis A.C.Sm."
 ]
}

 The dataset includes 31 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042654-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.42abgb
title: Occurrence Download

description: A dataset containing 5527 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Datura metel"
 ]
}

 The dataset includes 5527 records from 329 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052813-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16975723
title: SNAP v1.0.3 — SNAP–MEG v1.9: Constraint-Gated Selection for MEG

description: This is an extension of previous SNAP v1.0.1 — SNAP–MEG v1.8.

Claim. A label-free selection grammar for MEG: SNAP preserves latent geometry (RSA ≈ 1) and yields lawful abstention (REST) that increases with pre-stimulus pressure—without training any classifier

What SNAP is. SNAP is a constraint grammar that maps latent potentials to manifest activations by compatibility, not optimization. Applied to MEG, with per-trial “pressure” proxies and no learned selection rule.:



S_manifest = Select(S_potentials, E, I), with per-trial “pressure” proxies and no training of the selection rule.


Data & setup. MNE sample MEG (grad sensors), 4 classes, 288 trials. Latents: robust z-score → orthonormal projection. “Pressure” proxies: pre-stim ptp, trial-index history. Evaluation: stratified OOF; isotonic/Platt calibration; matched-coverage comparisons.

Evaluation axes. SNAP applies a constraint-gated selection grammar to MEG epochs (no training/optimization) and evaluates structure in three ways: (1) representational alignment (latent↔manifest; constraint↔manifest), (2) governance/abstention behavior under “pressure”, and (3) time-resolved decoding/cross-decoding. 

Key results: Latent↔SNAP structure preserves the base manifold (RSA≈0.987), while Constraint↔SNAP coupling is present but small (bootstrap mean≈0.056; shuffled≈0.001). Coverage–accuracy frontier AUC≈0.231 with negative slope near 80% coverage (−0.460). A simple “best-of-two” acted-accuracy reaches ~0.63 at 80% coverage. REST decisions rise modestly with pressure (Spearman r≈0.064). Time-resolved RSA shows 13/21 windows significant (first ≈70 ms), with modality decoding peaking ~0.87 around 190 ms and side decoding ~0.63 around 140 ms.Interpretation: SNAP largely preserves latent geometry and shows a small, testable constraint coupling. Decision quality is modest, and abstention correlates weakly with pressure. In this dataset and configuration, the pattern is consistent with lawful, label-free selection; the present constraint channels are lightweight and do not yield high acted accuracy or strong cross-modality transfer.

Included:• metrics.json• decoding_timecourses_all.csv (harmonized table used for plotting)• figs/ (frontier plots, RSA heatmaps, and timecourse visuals)Comparability. Uses open MNE data (4 classes) and a different baseline than the simulator’s class-rich, designed-constraint setup; metrics are not 1:1 comparable.

Access. Raw activations withheld; institutional requests welcome for validation. Code is not shared.

Contact. Constructive feedback on the constraint formulation, evaluation metrics, and related work etc is appreciated. Pointers via profile email are welcome!
DOI: 10.5281/zenodo.16975724
title: SNAP v1.0.3 — SNAP–MEG v1.9: Constraint-Gated Selection for MEG

description: This is an extension of previous SNAP v1.0.1 — SNAP–MEG v1.8.

Claim. A label-free selection grammar for MEG: SNAP preserves latent geometry (RSA ≈ 1) and yields lawful abstention (REST) that increases with pre-stimulus pressure—without training any classifier

What SNAP is. SNAP is a constraint grammar that maps latent potentials to manifest activations by compatibility, not optimization. Applied to MEG, with per-trial “pressure” proxies and no learned selection rule.:



S_manifest = Select(S_potentials, E, I), with per-trial “pressure” proxies and no training of the selection rule.


Data & setup. MNE sample MEG (grad sensors), 4 classes, 288 trials. Latents: robust z-score → orthonormal projection. “Pressure” proxies: pre-stim ptp, trial-index history. Evaluation: stratified OOF; isotonic/Platt calibration; matched-coverage comparisons.

Evaluation axes. SNAP applies a constraint-gated selection grammar to MEG epochs (no training/optimization) and evaluates structure in three ways: (1) representational alignment (latent↔manifest; constraint↔manifest), (2) governance/abstention behavior under “pressure”, and (3) time-resolved decoding/cross-decoding. 

Key results: Latent↔SNAP structure preserves the base manifold (RSA≈0.987), while Constraint↔SNAP coupling is present but small (bootstrap mean≈0.056; shuffled≈0.001). Coverage–accuracy frontier AUC≈0.231 with negative slope near 80% coverage (−0.460). A simple “best-of-two” acted-accuracy reaches ~0.63 at 80% coverage. REST decisions rise modestly with pressure (Spearman r≈0.064). Time-resolved RSA shows 13/21 windows significant (first ≈70 ms), with modality decoding peaking ~0.87 around 190 ms and side decoding ~0.63 around 140 ms.Interpretation: SNAP largely preserves latent geometry and shows a small, testable constraint coupling. Decision quality is modest, and abstention correlates weakly with pressure. In this dataset and configuration, the pattern is consistent with lawful, label-free selection; the present constraint channels are lightweight and do not yield high acted accuracy or strong cross-modality transfer.

Included:• metrics.json• decoding_timecourses_all.csv (harmonized table used for plotting)• figs/ (frontier plots, RSA heatmaps, and timecourse visuals)Comparability. Uses open MNE data (4 classes) and a different baseline than the simulator’s class-rich, designed-constraint setup; metrics are not 1:1 comparable.

Access. Raw activations withheld; institutional requests welcome for validation. Code is not shared.

Contact. Constructive feedback on the constraint formulation, evaluation metrics, and related work etc is appreciated. Pointers via profile email are welcome!
DOI: 10.15468/dl.kxcva9
title: Occurrence Download

description: A dataset containing 1271 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Haemagogus leucocelaenus"
 ]
}

 The dataset includes 1271 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052815-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15349410
title: SNAP v1.0.2 — SNAP–PLANNER v1.8d: Rest-Aware & Co-Agent Animation Archive

description: This archive contains a trace-sealed visual grammar suite derived from the SNAP–PLANNER v1.8d simulation notebooks. All outputs are lawful manifestations of the SNAP selection syntax, extended to multi-agent scheduling, rest convergence, and diachronic co-agent alignment. No scoring, training, or optimization is used—only structural constraint filtering.

Each animation is grounded in the core grammar:



S_manifest(x, t) = Select(S_potentials, E(x, t), I(x, t)); ℰ(x, t → t+Δt): Diachronic update of fatigue, history, span state 


This validates SNAP’s trace grammar in the cognitive scheduling domain, demonstrating:



span collapse

divergence resolution

lawful emergence of S_manifest = "rest" under constraint-incompatibility


All outputs were generated from constraint-field evolution notebooks (SNAP–PLANNER v1.5–v1.8d).Raw latent archives are withheld from open release but available upon formal institutional request.

Note:This demo was generated without any tuning, training, or optimization. Constraint weights were heuristically derived from semantic labels. The latent projection is fixed and orthonormal.

 
description: Included Demonstrations



snap_planner_grammar_stack.gif Constraint Grammar Stack — Visualizes  S_status → S_base → S_stage → S_manifest. Shows lawful emergence without inference.

snap_planner_divergence.gif Pairwise Co-Agent Divergence — Tracks task disalignment over time. Demonstrates rhythm drift and asynchronous constraint incompatibility.

snap_planner_select_demo.gif Constraint Drift Selection (Supplementary) — Illustrates diachronic divergence across co-agent constraint fields. Selection unfolds without inference or scoring.

snap_planner_entanglement.gif Co-Agent Task Alignment Matrix — Animated joint matrix of co-chosen tasks across agents. Captures emergent entanglement.

snap_planner_rest_convergence.gif Fatigue-Driven Rest Collapse — S_manifest = "rest" emerges under max span & fatigue. Grammar selects inaction lawfully.

snap_planner_rest_emergence(Figure 8).gif Trace Fidelity (Rest Manifestation) — Displays lawful emergence of rest over diachronic evolution. Aligns with ℰ(x, t → t+Δt) constraint degradation.
DOI: 10.5281/zenodo.15274298
title: SNAP v1.0.2 — SNAP–PLANNER v1.8d: Rest-Aware & Co-Agent Animation Archive

description: This archive contains a trace-sealed visual grammar suite derived from the SNAP–PLANNER v1.8d simulation notebooks. All outputs are lawful manifestations of the SNAP selection syntax, extended to multi-agent scheduling, rest convergence, and diachronic co-agent alignment. No scoring, training, or optimization is used—only structural constraint filtering.

Each animation is grounded in the core grammar:



S_manifest(x, t) = Select(S_potentials, E(x, t), I(x, t)); ℰ(x, t → t+Δt): Diachronic update of fatigue, history, span state 


This validates SNAP’s trace grammar in the cognitive scheduling domain, demonstrating:



span collapse

divergence resolution

lawful emergence of S_manifest = "rest" under constraint-incompatibility


All outputs were generated from constraint-field evolution notebooks (SNAP–PLANNER v1.5–v1.8d).Raw latent archives are withheld from open release but available upon formal institutional request.

Note:This demo was generated without any tuning, training, or optimization. Constraint weights were heuristically derived from semantic labels. The latent projection is fixed and orthonormal.

 
description: Included Demonstrations



snap_planner_grammar_stack.gif Constraint Grammar Stack — Visualizes  S_status → S_base → S_stage → S_manifest. Shows lawful emergence without inference.

snap_planner_divergence.gif Pairwise Co-Agent Divergence — Tracks task disalignment over time. Demonstrates rhythm drift and asynchronous constraint incompatibility.

snap_planner_select_demo.gif Constraint Drift Selection (Supplementary) — Illustrates diachronic divergence across co-agent constraint fields. Selection unfolds without inference or scoring.

snap_planner_entanglement.gif Co-Agent Task Alignment Matrix — Animated joint matrix of co-chosen tasks across agents. Captures emergent entanglement.

snap_planner_rest_convergence.gif Fatigue-Driven Rest Collapse — S_manifest = "rest" emerges under max span & fatigue. Grammar selects inaction lawfully.

snap_planner_rest_emergence(Figure 8).gif Trace Fidelity (Rest Manifestation) — Displays lawful emergence of rest over diachronic evolution. Aligns with ℰ(x, t → t+Δt) constraint degradation.
DOI: 10.15468/dl.cjpwvs
title: Occurrence Download

description: A dataset containing 15926 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hexasepalum teres"
 ]
}

 The dataset includes 15926 records from 448 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052816-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17933332
title: LANDSCAPE-SCALE ANALYSIS OF ROADSIDE BARRIERS AND WILDLIFE MORTALITY IN CONNECTICUT
DOI: 10.5281/zenodo.17933331
title: LANDSCAPE-SCALE ANALYSIS OF ROADSIDE BARRIERS AND WILDLIFE MORTALITY IN CONNECTICUT
DOI: 10.15468/dl.xdj9yz
title: Occurrence Download

description: A dataset containing 45463 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Nicandra physalodes"
 ]
}

 The dataset includes 45463 records from 649 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052817-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.