cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.ccusa6
title: Occurrence Download

description: A dataset containing 173 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "PublishingCountry is Colombia",
 {
 "and" : [
 "Country is Colombia",
 {
 "not" : {
 "Issue" : [
 "is Country coordinate mismatch"
 ]
 }
 }
 ]
 }
 ]
 },
 {
 "and" : [
 {
 "or" : [
 "StateProvince ~chocó",
 "StateProvince is chocó",
 "StateProvince is chocó dept.",
 "StateProvince is chocó/darien",
 "StateProvince is chocó / valle del cauca",
 "StateProvince is choco dept.",
 "StateProvince is choco",
 "StateProvince ~choco",
 "StateProvince is choco department",
 "StateProvince is choco dept. (pacific coast)",
 "StateProvince is choco province",
 "StateProvince is choco dept.?",
 "StateProvince is choco, centro"
 ]
 },
 {
 "or" : [
 "Locality ~yuto",
 "Locality is yuto",
 "Locality is yuto - jampapa. carretera panamericana",
 "Locality is yuto road, 6 km. s. of quibdo",
 "Locality is yuto rd, 19 km. s. of quibdo, 1° forest",
 "Locality is yuto, atrato,",
 "Locality is yuto road, 17 km. s. of quibdo",
 "Locality is yuto - la vuelta",
 "Locality is yuto.",
 "Locality is yuto road, 18 km. s. of quibdo",
 "Locality is yuto road, 18 km. s. of quibdo, 1 degree forest",
 "Locality is yuto road, 22 km. s. of quibdo",
 "Locality is yuto-jampapa. carretera panamericana",
 "Locality is yuto-tado, kms: 3, direccion: sur",
 "Locality is yuto - jampapa, carretera panamericana",
 "Locality is yuto road, 12 km. s. of quibdo",
 "Locality is yuto road, 15 km. s. of quibdo",
 "Locality is yuto-la vuelta",
 "Locality is yuto-lloro road",
 "Locality is yuto-lloró- la vuelta",
 "Locality is yuto-quibdo, kms: 15, direccion: norte",
 "Locality is yuto. carretera entre quibdó y yuto. km 17",
 "Locality is yuto pampaarea",
 "Locality is yuto road, 17 km. s. of quibdo, 1 degree forest",
 "Locality is yuto, a few km beyong city.",
 "Locality is yuto, rio atrato, rocky margins of the river above yuto.",
 "Locality is yuto-jampapa, carretera panamericana.",
 "Locality is yuto-lloro highway (under construction), 1 km from yuto",
 "Locality is yuto-lloro. 1 km de yuto.",
 "Locality is yuto-lloró- la vuelta.",
 "Locality is yuto-quibdo, kms: 15, direccion: norte, 11 km sur de quibdo via a yuto",
 "Locality is yuto. al lado del cuartel de policía",
 "Locality is yuto. por la carretera a lloró",
 "Locality ~yutó"
 ]
 }
 ]
 }
 ]
}

 The dataset includes 173 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0246094-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.z5ku75
title: Occurrence Download

description: A dataset containing 147872 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Accipiter nisus (Linnaeus, 1758)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 1980",
 "Year is less than or equal to 2022",
 "Country is United Kingdom of Great Britain and Northern Ireland",
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 10000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 147872 records from 117 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0262069-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d4c3tr
title: Occurrence Download

description: A dataset containing 1574 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Machine Observation)",
 "TaxonKey is Boa constrictor Linnaeus, 1758",
 "Year 2000-2023"
 ]
}

 The dataset includes 1574 records from 100 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0258263-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.787ybz
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001517-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mteyyj
title: Occurrence Download

description: A dataset containing 572933827 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 572933827 records from 12260 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006879-160526112335914/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/e192280v1-190369
title: Data and Code for: Clean Identification? The Effects of the Clean Air Act on Air Pollution, Exposure Disparities and House Prices

description: We assess the US Clean Air Act standards for fine particulate matter (PM2.5). Using high-resolution data, we find that the 2005 regulation reduced PM2.5 levels by 0.4μg/m^3 over five years, with larger effects in more polluted areas. Standard difference-in-differences overstates these effects by a factor of three because time trends differ by baseline pollution, a bias we overcome with three alternative approaches. We show that the regulation contributed to narrowing Urban-Rural and Black-White PM2.5 exposure disparities, but less than difference-in-differences suggest. Pollution damages capitalized into house prices, on the other hand, appear larger than previously thought when leveraging regulatory variation.
DOI: 10.5281/zenodo.17502475
title: Synthetic Falsifier Tests for the Laws of Persistence and Coherence (Sznajd-like) v1.2

description: This emonstrates that the triadic conservation framework can reliably distinguish conserving from non-conserving dynamics across spatial, oscillatory, and chaotic regimes (R² ≈ 0.80 in-band, collapsing to ~0.05 in nulls and controls), providing a rigorous, falsifiable proof-of-concept prior to empirical testing in natural systems.”

xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx

v1.2 extends the earlier Ising–Kuramoto–Lorenz suite (v1.1) with a more rigorous, multi-seed replication and additional falsification checks:

• 6-seed replication for statistical robustness  • Shuffle nulls (all systems) and phase-randomized surrogate nulls (Kuramoto, Lorenz)  • Parameter sweeps (Ising → T, Kuramoto → K, Lorenz → ρ)  • Window-size sensitivity analysis (stability check of R² plateaus)  • Residual diagnostics (Durbin–Watson, Ljung–Box, QQ plots)  • Additive-law control (Sznajd-like): multiplicative form fails (low R²); additive fit succeeds and correctly recovers α, β.  

Interpretation:  Across Ising, Kuramoto, and Lorenz regimes, the proportional law y = dA ≈ −(dB + dC) remains valid in-band with slope ≈ 1 (95 % CI includes 1) and R² ≈ 0.8, while both nulls collapse R² → 0.05–0.1. The additive control confirms falsifiability by rejecting the multiplicative model and reproducing the expected coefficients of the additive ground-truth system.

Included files  – Ising_synthetic.csv  – Kuramoto_synthetic.csv  – Lorenz_synthetic.csv  – Sznajd_additive_control.csv  – SUMMARY_metrics.csv  – diagnostics/*.png  – README.txt  

This v1.2 record supersedes v1.1 by adding null controls, additive validation, and multi-seed replication.  It serves as the final synthetic proof-of-principle prior to empirical Phase-2 tests.

xxxxxxxx

Change log (v1.2 → v1.1): Adds shuffle + phase-randomized nulls, introduces multi-seed averaging, includes additive-law (Sznajd) falsifier, and expands diagnostics (parameter sweeps, window-sensitivity, residual checks). Strengthens reproducibility and falsifiability of the proportional conservation result (slope ≈ 1, R² ≈ 0.8 ± 0.05).
DOI: 10.5281/zenodo.17502476
title: Synthetic Falsifier Tests for the Laws of Persistence and Coherence (Sznajd-like) v1.2

description: This emonstrates that the triadic conservation framework can reliably distinguish conserving from non-conserving dynamics across spatial, oscillatory, and chaotic regimes (R² ≈ 0.80 in-band, collapsing to ~0.05 in nulls and controls), providing a rigorous, falsifiable proof-of-concept prior to empirical testing in natural systems.”

xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx

v1.2 extends the earlier Ising–Kuramoto–Lorenz suite (v1.1) with a more rigorous, multi-seed replication and additional falsification checks:

• 6-seed replication for statistical robustness  • Shuffle nulls (all systems) and phase-randomized surrogate nulls (Kuramoto, Lorenz)  • Parameter sweeps (Ising → T, Kuramoto → K, Lorenz → ρ)  • Window-size sensitivity analysis (stability check of R² plateaus)  • Residual diagnostics (Durbin–Watson, Ljung–Box, QQ plots)  • Additive-law control (Sznajd-like): multiplicative form fails (low R²); additive fit succeeds and correctly recovers α, β.  

Interpretation:  Across Ising, Kuramoto, and Lorenz regimes, the proportional law y = dA ≈ −(dB + dC) remains valid in-band with slope ≈ 1 (95 % CI includes 1) and R² ≈ 0.8, while both nulls collapse R² → 0.05–0.1. The additive control confirms falsifiability by rejecting the multiplicative model and reproducing the expected coefficients of the additive ground-truth system.

Included files  – Ising_synthetic.csv  – Kuramoto_synthetic.csv  – Lorenz_synthetic.csv  – Sznajd_additive_control.csv  – SUMMARY_metrics.csv  – diagnostics/*.png  – README.txt  

This v1.2 record supersedes v1.1 by adding null controls, additive validation, and multi-seed replication.  It serves as the final synthetic proof-of-principle prior to empirical Phase-2 tests.

xxxxxxxx

Change log (v1.2 → v1.1): Adds shuffle + phase-randomized nulls, introduces multi-seed averaging, includes additive-law (Sznajd) falsifier, and expands diagnostics (parameter sweeps, window-sensitivity, residual checks). Strengthens reproducibility and falsifiability of the proportional conservation result (slope ≈ 1, R² ≈ 0.8 ± 0.05).
DOI: 10.15468/dl.4q82ex
title: Occurrence Download

description: A dataset listing the 166345 species recorded in GBIF matching the query:
{
 "Country" : [
 "is India"
 ]
}

 The dataset's 166345 records were derived from 3472 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014446-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tev6jq
title: Occurrence Download

description: A dataset containing 2528 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Cephalopoda)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((-60 -60,-30 -60,-30 -30,-60 -30,-60 -60))"
 ]
}

 The dataset includes 2528 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012024-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y7w8c8
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Solenogastres)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((-60 60,-30 60,-30 90,-60 90,-60 60))"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012026-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5kc9qb
title: Occurrence Download

description: A dataset containing 86 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Cephalopoda)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((-30 -60,0 -60,0 -30,-30 -30,-30 -60))"
 ]
}

 The dataset includes 86 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012025-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mdb7s3
title: Occurrence Download

description: A dataset containing 49 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tecoma stans",
 "Country is Malawi",
 "HasCoordinate is true"
 ]
}

 The dataset includes 49 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0059744-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16525352
title: Global Blister Packaging Machine Pharmaceutical Market 2025 To 2034

description: Blister Packaging Machine Pharmaceutical Market Size, Trends and Insights By Machine Type (Rotary Blister Machines, Flat Blister Machines, Thermoform Blister Machines, Cold Form (Alu-Alu) Blister Machines), By Packaging Material (PVC-Based Blisters, PET-Based Blisters, Aluminium Foil Blisters, Composite Foil Blisters), By Filling Technology (Thermoforming, Cold Forming, Heat Seal, Glue Seal), By Application Type (Solid Oral Dosage (Tablets, Capsules), Nutraceuticals (Vitamins, Supplements), Clinical Trial Blistering), and By Region - Global Industry Overview, Statistical Data, Competitive Analysis, Share, Outlook, and Forecast 2025–2034.

Reports Description

As per the Blister Packaging Machine Pharmaceutical Market analysis conducted by the CMI Team, the global Blister Packaging Machine Pharmaceutical Market is expected to record a CAGR of 2.8% from 2025 to 2034. In 2025, the market size is projected to reach a valuation of USD 2.57 Billion. By 2034, the valuation is anticipated to reach USD 3.29 Billion.

For more information, DOWNLOAD FREE SAMPLE Now at https://www.custommarketinsights.com/request-for-free-sample/?reportid=71707
DOI: 10.5281/zenodo.16525353
title: Global Blister Packaging Machine Pharmaceutical Market 2025 To 2034

description: Blister Packaging Machine Pharmaceutical Market Size, Trends and Insights By Machine Type (Rotary Blister Machines, Flat Blister Machines, Thermoform Blister Machines, Cold Form (Alu-Alu) Blister Machines), By Packaging Material (PVC-Based Blisters, PET-Based Blisters, Aluminium Foil Blisters, Composite Foil Blisters), By Filling Technology (Thermoforming, Cold Forming, Heat Seal, Glue Seal), By Application Type (Solid Oral Dosage (Tablets, Capsules), Nutraceuticals (Vitamins, Supplements), Clinical Trial Blistering), and By Region - Global Industry Overview, Statistical Data, Competitive Analysis, Share, Outlook, and Forecast 2025–2034.

Reports Description

As per the Blister Packaging Machine Pharmaceutical Market analysis conducted by the CMI Team, the global Blister Packaging Machine Pharmaceutical Market is expected to record a CAGR of 2.8% from 2025 to 2034. In 2025, the market size is projected to reach a valuation of USD 2.57 Billion. By 2034, the valuation is anticipated to reach USD 3.29 Billion.

For more information, DOWNLOAD FREE SAMPLE Now at https://www.custommarketinsights.com/request-for-free-sample/?reportid=71707
DOI: 10.15468/dl.hu8zc3
title: Occurrence Download

description: A dataset containing 596 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Digitaria ischaemum",
 "Country is Canada",
 "HasCoordinate is true"
 ]
}

 The dataset includes 596 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0059745-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.8359212
title: Ensemble monthly evapotranspiration over italy 1991-2020

description: Six open access actual ET datasets are merged using an expert-based multiple collocation (MC) approach, with the aim of reconstructing a spatiotemporal consistent monthly dataset for the climatological period 1991-2020 over Italy at a spatial resolution of 1-km.


The merged products include: three water balance datasets (BIG BANG, LSA SAF, and LISFLOOD), two residual surface energy balance models (SSEBop, and ALEXI) and the MODIS standard product.


More details can be found in Cammalleri et al. (2023, under review)
DOI: 10.5281/zenodo.8359213
title: Ensemble monthly evapotranspiration over italy 1991-2020

description: Six open access actual ET datasets are merged using an expert-based multiple collocation (MC) approach, with the aim of reconstructing a spatiotemporal consistent monthly dataset for the climatological period 1991-2020 over Italy at a spatial resolution of 1-km.


The merged products include: three water balance datasets (BIG BANG, LSA SAF, and LISFLOOD), two residual surface energy balance models (SSEBop, and ALEXI) and the MODIS standard product.


More details can be found in Cammalleri et al. (2023, under review)
DOI: 10.15468/dl.3nh5dp
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-79.97889180225955 -9.946201781930856,-75.97889180225955 -9.946201781930856,-75.97889180225955 -5.946201781930856,-79.97889180225955 -5.946201781930856,-79.97889180225955 -9.946201781930856))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Coendou"
 ]
}

 The dataset includes 8 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0059749-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4xn8ts
title: Occurrence Download

description: A dataset containing 2195 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Digitaria ischaemum",
 "Country is United States of America",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2195 records from 130 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0059748-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vtndnq
title: Occurrence Download

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

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0059750-250717081556266/datasets/export for details.
DOI: 10.15468/dl.5se484
title: Occurrence Download

description: A dataset containing 861244 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Lanius collurio)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "License is one of (CC-BY 4.0, CC0 1.0)"
 ]
}

 The dataset includes 861244 records from 2429 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0059715-250717081556266/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.29552903
title: original_data

description: Background: Blood gas parameters and immunity are associated with the prognosis of septic patients. The aim of this work is to develop a blood gas parameters-based signature (BGBS) that could be used to predict patient prognosis and immune responses.Methods: Medical records retrospectively extracted from the Medical Information Mart for Intensive Care IV were used for constructing BGBS in septic patients and for internal validation in septic shock patients. Bioinformatics analysis and machine learning techniques were adopted to reveal the relationship between BGBS and the primary outcome, 28-day mortality, in sepsis and septic shock.Results: A BGBS containing PO2, BE, and lactate was developed and verified as an independent and reliable risk model that correlated with the 28-day mortality of septic patients (odds ratio: 1.559; 95% confidence interval: 1.464-1.659; P &lt;.001). Moreover, its prognostic performance was internally validated in septic shock patients (odds ratio: 1.432; 95% confidence interval: 1.321-1.552; P &lt;.001). More severe sepsis was observed in high-risk patients than in low-risk patients as determined by BGBS. Subsequent investigations demonstrated a positive relationship between the BGBS-calculated risk score and immunosuppression, suggesting that innate immunity might mediate the predictive role of our identified signature in 28-day mortality of septic patients. In addition, a BGBS-derived nomogram was constructed and demonstrated to be superior to existing prognostic scales.Conclusion: We developed and validated a novel signature and nomogram that could rapidly evaluate the prognosis of septic patients and identified a subset potentially suitable for immunoenhancement therapy and intensified treatment.
DOI: 10.6084/m9.figshare.29552903.v1
title: original_data

description: Background: Blood gas parameters and immunity are associated with the prognosis of septic patients. The aim of this work is to develop a blood gas parameters-based signature (BGBS) that could be used to predict patient prognosis and immune responses.Methods: Medical records retrospectively extracted from the Medical Information Mart for Intensive Care IV were used for constructing BGBS in septic patients and for internal validation in septic shock patients. Bioinformatics analysis and machine learning techniques were adopted to reveal the relationship between BGBS and the primary outcome, 28-day mortality, in sepsis and septic shock.Results: A BGBS containing PO2, BE, and lactate was developed and verified as an independent and reliable risk model that correlated with the 28-day mortality of septic patients (odds ratio: 1.559; 95% confidence interval: 1.464-1.659; P &lt;.001). Moreover, its prognostic performance was internally validated in septic shock patients (odds ratio: 1.432; 95% confidence interval: 1.321-1.552; P &lt;.001). More severe sepsis was observed in high-risk patients than in low-risk patients as determined by BGBS. Subsequent investigations demonstrated a positive relationship between the BGBS-calculated risk score and immunosuppression, suggesting that innate immunity might mediate the predictive role of our identified signature in 28-day mortality of septic patients. In addition, a BGBS-derived nomogram was constructed and demonstrated to be superior to existing prognostic scales.Conclusion: We developed and validated a novel signature and nomogram that could rapidly evaluate the prognosis of septic patients and identified a subset potentially suitable for immunoenhancement therapy and intensified treatment.