cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.n2pbmn
title: Occurrence Download

description: A dataset containing 491 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((78.13096 8.70026,76.93268 9.82729,75.48518 13.11557,73.13502 19.49281,73.1956 21.47157,72.12545 21.71386,70.34861 21.22927,69.14912 23.90253,68.2771 23.96066,67.89922 24.16414,67.05626 25.67564,65.45755 25.47217,63.68444 25.32683,63.07402 24.97802,62.26014 23.55372,61.82412 22.07128,63.13216 20.29817,64.789 18.67039,65.66103 17.07168,67.2016 14.74628,66.56212 12.47902,68.18989 9.22347,71.91053 3.64252,74.23592 3.67159,77.86935 4.45641,78.24723 5.50284,78.13096 8.70026))",
 "TaxonKey is Globigerinella siphonifera (d'Orbigny, 1839)",
 "Year 1983-2023"
 ]
}

 The dataset includes 491 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0237452-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nzz6aq
title: Occurrence Download

description: A dataset containing 479 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Solanum carolinense L.",
 "HasCoordinate is true",
 "Country is Japan",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 479 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0165228-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qysuyt
title: Occurrence Download

description: A dataset containing 8430 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "TaxonKey is Amaranthus L."
 ]
}

 The dataset includes 8430 records from 173 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0247144-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4bhwus
title: Occurrence Download

description: A dataset containing 6982 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Camellia sinensis (L.) Kuntze"
 ]
}

 The dataset includes 6982 records from 289 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0239707-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dmqepp
title: Occurrence Download

description: A dataset containing 595 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Trichosanthes cucumeroides (Ser.) Maxim.",
 "HasCoordinate is true",
 "Country is Japan",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 595 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0165226-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gceztm
title: Occurrence Download

description: A dataset containing 18 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-121.75 34,-118.75 34,-118.75 35.5,-121.75 35.5,-121.75 34))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Pterodroma sandwichensis (Ridgway, 1884)",
 "Year 1970-2023"
 ]
}

 The dataset includes 18 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0237785-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.k6m6jz
title: Occurrence Download

description: A dataset containing 569 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Monopteryx Spruce ex Benth."
 ]
}

 The dataset includes 569 records from 53 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0237455-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j98rf3
title: Occurrence Download

description: A dataset containing 2978 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((-70.9782993999999974 42.2477870999999965, -70.9782993999999974 42.2545105700000008, -70.9782993999999974 42.2594800899999967, -70.9782993999999974 42.2659112300000004, -70.9782993999999974 42.2702961099999968, -70.9782993999999974 42.2773119000000008, -70.9742255499999999 42.2773119000000008, -70.9675328099999945 42.2773119000000008, -70.9622949999999975 42.2773119000000008, -70.9556022600000063 42.2773119000000008, -70.9492005000000034 42.2773119000000008, -70.9492005000000034 42.2726346999999976, -70.9492005000000034 42.2676651800000016, -70.9492005000000034 42.2618186899999984, -70.9492005000000034 42.2577261400000026, -70.9492005000000034 42.2545105700000008, -70.9492005000000034 42.2477870999999965, -70.9570571999999942 42.2477870999999965, -70.9637499499999933 42.2477870999999965, -70.9681147799999934 42.2477870999999965, -70.9727706099999978 42.2477870999999965, -70.9782993999999974 42.2477870999999965))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1932",
 "BasisOfRecord is one of (Human Observation, Living Specimen, Observation, Specimen, Machine Observation)"
 ]
}

 The dataset includes 2978 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0098107-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gg9888
title: Occurrence Download

description: A dataset containing 1672 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Xylopia emarginata Mart."
 ]
}

 The dataset includes 1672 records from 134 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0247146-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9w96h7
title: Occurrence Download

description: A dataset containing 385 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Parabacillus hesperus"
 ]
}

 The dataset includes 385 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014170-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.71819/1rtyov
title: Coleção de Coleoptera do MZUSP

description: Coleção de Coleoptera do MZUSP
DOI: 10.5281/zenodo.14054333
title: Inference products and plotting code for "Some Times in Standard Cosmology"

description: You are welcome to use these resources, provided you cite both this Zenodo repository and the associated paper.

This zip file contains the Monte Carlo Markov chains (MCMC), the plotting codes, and the figures for the paper "Some Times in Standard Cosmology" by Lukas Tobias Hergt and Douglas Scott (arXiv:2411.07703):



The folder MCMC__LCDM__PR3_lowlTT_PR4_LoLLiPoP-lowlEE_HiLLiPoP-TTTEEE_lensing contains the MCMC run generated with Cobaya. For details about theoretical model, input parameters, and likelihoods refer to the .yaml files therein or to information in the corresponding paper.

The some_times_in_standard_cosmology.py file was used for the post-processing of the MCMC chains; specifically, to compute the physical times, which are not standard derived parameters.

The some_times_in_standard_cosmology.ipynb file contains the plotting code and the some_times_in_standard_cosmology_sympy.ipynb file contains derivations of the 2-fluid solutions. We additinally provide the some_times_in_standard_cosmology.html and some_times_in_standard_cosmology_sympy.html files to allow for easy read access via a browser.

The PDF files some_times_in_standard_cosmology.pdf and some_times_in_standard_cosmology_2d.pdf are the two figures published in the paper.

The .tex files contain the data used for the tables in the paper.
DOI: 10.5281/zenodo.14845195
title: Inference products and plotting code for "Some Times in Standard Cosmology"

description: You are welcome to use these resources, provided you cite both this Zenodo repository and the associated paper.

This zip file contains the Monte Carlo Markov chains (MCMC), the plotting codes, and the figures for the paper "Some Times in Standard Cosmology" by Lukas Tobias Hergt and Douglas Scott (arXiv:2411.07703):



The folder MCMC__LCDM__PR3_lowlTT_PR4_LoLLiPoP-lowlEE_HiLLiPoP-TTTEEE_lensing contains the MCMC run generated with Cobaya. For details about theoretical model, input parameters, and likelihoods refer to the .yaml files therein or to information in the corresponding paper.

The some_times_in_standard_cosmology.py file was used for the post-processing of the MCMC chains; specifically, to compute the physical times, which are not standard derived parameters.

The some_times_in_standard_cosmology.ipynb file contains the plotting code and the some_times_in_standard_cosmology_sympy.ipynb file contains derivations of the 2-fluid solutions. We additinally provide the some_times_in_standard_cosmology.html and some_times_in_standard_cosmology_sympy.html files to allow for easy read access via a browser.

The PDF files some_times_in_standard_cosmology.pdf and some_times_in_standard_cosmology_2d.pdf are the two figures published in the paper.

The .tex files contain the data used for the tables in the paper.
DOI: 10.15468/dl.gxt4nm
title: Occurrence Download

description: A dataset containing 111 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Macrotorus utriculatus",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 111 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014172-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48529/kxmk-md98
title: Targeting the Ultra-Poor Program in Afghanistan, Baseline and Follow-up Surveys, 2016 - 2018
title: AFG_2016-2018_TUP_v01_M
DOI: 10.25824/redu/ggwxiu
title: Experimental results of transformer-based models for short-term solar flare forecasting

description: Conjunto de dados com os resultados da execução dos modelos baseados em Transformers para previsão de explosões solares no curto prazo.
DOI: 10.5066/p14bxosn
title: Viral haemorrhagic septicemia virus and viral erythrocitic necrosis virus prevalence and intensity in the field and laboratory experiments to measure interdependencies between the pathogens

description: From 2019 to 2021, sixty age 0 herring were collected and tested for infection with viral haemorrhagic septicemia virus and viral erythrocitic necrosis virus from Port Angeles Harbor in WA, USA. This dataset describes the prevalence and intensity of infection with both pathogens. Then a series of laboratory experiments were conducted to determine how the epizootics of the two pathogens interact. This was done by conducting co-exposure and sequential exposure epizootic experiments, and measuring levels of cross-protection between the pathogens.
DOI: 10.15468/dl.gkrwga
title: Occurrence Download

description: A dataset containing 1335 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Bradynotes"
 ]
}

 The dataset includes 1335 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014173-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18496249
title: GOBLIN model LULUCF and Agriculture data as used in the CCAC 2024 Proposal Report (carbon budgets 3 and 4)

description: CCAC data from the GOBLIN LULUCF and agriculture modelling for the 2024 CCAC Proposal.

Data as received by Paul R Price from the CCAC Secretariat in late 2025.

Data utilised in: Paul R Price - 2026 - Consistent Paris Test analysis of CCAC 2024 Proposal - Excel workbook.   10.5281/zenodo.18495981
DOI: 10.5281/zenodo.18496250
title: GOBLIN model LULUCF and Agriculture data as used in the CCAC 2024 Proposal Report (carbon budgets 3 and 4)

description: CCAC data from the GOBLIN LULUCF and agriculture modelling for the 2024 CCAC Proposal.

Data as received by Paul R Price from the CCAC Secretariat in late 2025.

Data utilised in: Paul R Price - 2026 - Consistent Paris Test analysis of CCAC 2024 Proposal - Excel workbook.   10.5281/zenodo.18495981
DOI: 10.15468/dl.qq4xjt
title: Occurrence Download

description: A dataset containing 2594 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Polistes canadensis"
 ]
}

 The dataset includes 2594 records from 48 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014174-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/edweei
title: Experience and Self-Interest: Diverging Responses to Global Warming

description: People are increasingly feeling global warming’s effects through extreme heat and natural disasters. How do these climate shocks affect political attitudes? We argue that the effect of climate-related experiences depends significantly on self-interest. People in more vulnerable locations are more likely to respond to climate shocks with greater concern and more support for mitigation policy. We test this hypothesis with a macroeconomic model of climate change, geospatial data on climate shocks, and survey data of 148,712 people across 137 countries, and over time with the same 9,500 individuals in the United States. The results show that climate shocks heighten risk perceptions and lead to greater support for mitigation policies only among people in climate-vulnerable places. This responsiveness to experience is most evident in democratic countries and among people whose livelihoods depend on the weather. Integrating political economy and behavioral theories helps to explain how political attitudes change.
description: This dataset underwent an independent verification process, complying with the AJPS Verification Policy updated June 2023, which replicated the tables and figures in the primary article. For the supplementary materials, verification was performed solely for the successful execution of the code. The verification process was carried out by the Cornell Center for Social Sciences at Cornell University. 
<br>
 
The associated article has been awarded the Open Materials Badge. Learn more about the Open Practice Badges from the Center for Open Science. 
<br>


<br>
Open Materials Badge
DOI: 10.5281/zenodo.18495973
title: C3S and Met Office data used as input for hybrid seasonal forecast in East Africa during the short rains

description: ERA5 reanalysis and ECMWF SEAS5 seasonal forecast are obtained from the Copernicus Climate Change Service (C3S), while HadISST data are obtained from the Met Office.

The observational datasets ERA5 contains Total Precipitation Rate (TPR) for the October-December (OND) season and Sea Surface Temperature (SST) for both the OND season and the month of July. HadISST provides SST for the month of July, which is used as input for the CNN-based Dipole Index prediction.The ECMWF SEAS5 seasonal forecasting system provides TPR and SST for the OND season, with the run initialized in July at a three-month lead time.
DOI: 10.5281/zenodo.18496077
title: COOLBurnup-Bench: a reproducible OpenMC (CCFE-709) → FISPACT/NATF workflow and benchmark dataset for time-dependent PbLi blanket inventories, TBR and activation (public metadata bundle + code archive)

description: COOLBurnup-Bench is a reproducible and auditable workflow and benchmark dataset connecting OpenMC multi-group neutron transport (CCFE-709 group structure) to schedule-driven irradiation–cooling activation/burnup calculations using FISPACT/NATF. It standardizes physics-code outputs into long-table time-series labels suitable for surrogate-model development, and provides batch-level governance artifacts (manifest + snapshot records), QC gates, and leakage-resistant baseline benchmarks with grouped splits.

This Zenodo record provides a frozen public release bundle for the paper’s batch-of-record:

batch_id: n80_deepsmoke_addon_v1_addon2_mat_v3_absct_recalc_20260118snapshot_id: n80_deepsmoke_addon_v1_addon2_mat_v3_absct_recalc_20260118__20260203T143656Z__9d4f8f866415Included files in this record:

a code archive of the workflow repository at commit 9d4f8f866415 (see the uploaded “COOL-PbLi-Burnup_code_9d4f8f866415.tar.gz”),a metadata bundle containing the derived dataset artifacts needed to reproduce benchmark figures/tables (manifest/snapshot/splits/labels/QC evidence; see the uploaded “COOLBurnupBench_metadata_…tar.gz”),SHA256SUMS.txt with checksums for verification.Audit anchors (sha256):

dataset_snapshot.json: 331c09d6285dff423bd6cfd0a5bae0995fc417a3b4f75d2a3327993318211c23manifest.jsonl: 302a3365aeec7caa2e4f866e6846d633222d81b96b6c383cb91faf904e7c57a7labels_long_merged.csv: 3a4c75f3c8927693cc5673596cfd792a84e433bc7593bff3cc9f26067146170aQC report: 7c61a420b0170a1c9c683d0d094a5a372294144684566a4e2e214fd4a43d7d9dsplits.json: c29fd1411a2149d429e2c4bccf3a2c4a677c372f830573b4e5b449ae1421ec4fRestricted components not redistributed:Raw FISPACT input/output directories and any proprietary/licensed nuclear data libraries are not included. Full end-to-end reruns of the activation/burnup stage may therefore require third-party licenses and data access. However, baseline benchmarks and paper figures/tables can be reproduced in “public mode” from the released long-table labels and fixed splits.

Suggested citation:Please cite the Concept DOI of this record (all versions) in the manuscript, and include the snapshot_id above for unambiguous provenance.
DOI: 10.5281/zenodo.18495972
title: C3S and Met Office data used as input for hybrid seasonal forecast in East Africa during the short rains

description: ERA5 reanalysis and ECMWF SEAS5 seasonal forecast are obtained from the Copernicus Climate Change Service (C3S), while HadISST data are obtained from the Met Office.

The observational datasets ERA5 contains Total Precipitation Rate (TPR) for the October-December (OND) season and Sea Surface Temperature (SST) for both the OND season and the month of July. HadISST provides SST for the month of July, which is used as input for the CNN-based Dipole Index prediction.The ECMWF SEAS5 seasonal forecasting system provides TPR and SST for the OND season, with the run initialized in July at a three-month lead time.
DOI: 10.5281/zenodo.18496076
title: COOLBurnup-Bench: a reproducible OpenMC (CCFE-709) → FISPACT/NATF workflow and benchmark dataset for time-dependent PbLi blanket inventories, TBR and activation (public metadata bundle + code archive)

description: COOLBurnup-Bench is a reproducible and auditable workflow and benchmark dataset connecting OpenMC multi-group neutron transport (CCFE-709 group structure) to schedule-driven irradiation–cooling activation/burnup calculations using FISPACT/NATF. It standardizes physics-code outputs into long-table time-series labels suitable for surrogate-model development, and provides batch-level governance artifacts (manifest + snapshot records), QC gates, and leakage-resistant baseline benchmarks with grouped splits.

This Zenodo record provides a frozen public release bundle for the paper’s batch-of-record:

batch_id: n80_deepsmoke_addon_v1_addon2_mat_v3_absct_recalc_20260118snapshot_id: n80_deepsmoke_addon_v1_addon2_mat_v3_absct_recalc_20260118__20260203T143656Z__9d4f8f866415Included files in this record:

a code archive of the workflow repository at commit 9d4f8f866415 (see the uploaded “COOL-PbLi-Burnup_code_9d4f8f866415.tar.gz”),a metadata bundle containing the derived dataset artifacts needed to reproduce benchmark figures/tables (manifest/snapshot/splits/labels/QC evidence; see the uploaded “COOLBurnupBench_metadata_…tar.gz”),SHA256SUMS.txt with checksums for verification.Audit anchors (sha256):

dataset_snapshot.json: 331c09d6285dff423bd6cfd0a5bae0995fc417a3b4f75d2a3327993318211c23manifest.jsonl: 302a3365aeec7caa2e4f866e6846d633222d81b96b6c383cb91faf904e7c57a7labels_long_merged.csv: 3a4c75f3c8927693cc5673596cfd792a84e433bc7593bff3cc9f26067146170aQC report: 7c61a420b0170a1c9c683d0d094a5a372294144684566a4e2e214fd4a43d7d9dsplits.json: c29fd1411a2149d429e2c4bccf3a2c4a677c372f830573b4e5b449ae1421ec4fRestricted components not redistributed:Raw FISPACT input/output directories and any proprietary/licensed nuclear data libraries are not included. Full end-to-end reruns of the activation/burnup stage may therefore require third-party licenses and data access. However, baseline benchmarks and paper figures/tables can be reproduced in “public mode” from the released long-table labels and fixed splits.

Suggested citation:Please cite the Concept DOI of this record (all versions) in the manuscript, and include the snapshot_id above for unambiguous provenance.
DOI: 10.17887/wur01-oaetkj
title: Data underlying the PhD thesis: Wilding pedagogies - Exploring more-than-human ecologies of learning

description: Data in this folder supports my dissertation entitled "Wilding pedagogies - Exploring more-than-human ecologies of learning". My thesis explores a suggested rewilding of pedagogies for a relational becoming with the world and eventually deep environmental care. Wild pedagogies (WP) concern learning in, with, trough and for nature by means of relational outdoor learning approaches. In my study I explored (1) How WP can be understood from a posthuman feminist theoretical perspective and in a context of socio-ecological crises (2) How WP can inform formal higher education and (3) whether and how WP contribute to relational being and becoming with the world among young adults in formal higher education. I worked with narrative literature review, participatory immersion, reflective questionnaires, walking interviews and document analysis as methodological appraoches. Atlas.ti was used for qualitative analysis of the data.
DOI: 10.15468/dl.9uac8x
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lithothamnion brasiliense"
 ]
}

 The dataset includes 5 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014175-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.b77w4b
title: Occurrence Download

description: A dataset containing 1887 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Booneacris"
 ]
}

 The dataset includes 1887 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014176-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dq27rx
title: Occurrence Download

description: A dataset listing the 53159 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is India",
 "TaxonKey is Plantae"
 ]
}

 The dataset's 53159 records were derived from 905 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014152-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.