cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.18133136
title: Martinau, Glückauf-Apotheke (ca. 1924/1947)

description: Historical questionnaire/s 1924/1948 and index cards, partly selected enclosures regarding the history of a German pharmacy, catalogued via Kalliope portal (Historischer Fragebogen 1924/1948 und Karteikarten, ggf. gemeinfreie Anlagen zur Apothekengeschichte; als Katalog dient das Nachlassportal Kalliope): https://kalliope-verbund.info/DE-611-BF-70963 [Funktion: Im Findbuch anzeigen]Please note: The Kalliope catalogue entry might indicate related material in the archival folder which cannot be published due to copyright or other legal restrictions (NB: Das Katalogisat bei Kalliope kann auch auf Materialien - teils erheblichen Umfangs - verweisen, die aus archiv- oder urheberrechtlichen Gründen nicht veröffentlicht werden dürfen).Historical
DOI: 10.5281/zenodo.18133137
title: Martinau, Glückauf-Apotheke (ca. 1924/1947)

description: Historical questionnaire/s 1924/1948 and index cards, partly selected enclosures regarding the history of a German pharmacy, catalogued via Kalliope portal (Historischer Fragebogen 1924/1948 und Karteikarten, ggf. gemeinfreie Anlagen zur Apothekengeschichte; als Katalog dient das Nachlassportal Kalliope): https://kalliope-verbund.info/DE-611-BF-70963 [Funktion: Im Findbuch anzeigen]Please note: The Kalliope catalogue entry might indicate related material in the archival folder which cannot be published due to copyright or other legal restrictions (NB: Das Katalogisat bei Kalliope kann auch auf Materialien - teils erheblichen Umfangs - verweisen, die aus archiv- oder urheberrechtlichen Gründen nicht veröffentlicht werden dürfen).Historical
DOI: 10.15468/dl.y4pqer
title: Occurrence Download

description: A dataset containing 60 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Material citation, Specimen, Machine Observation)",
 "Country is Nepal",
 "OccurrenceStatus is Present",
 "TaxonKey is Prionailurus viverrinus"
 ]
}

 The dataset includes 60 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0071179-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18132473
title: Source code and data for "RAWR v1.0: a software suite for phylogenetic support estimation and other sequence-aware RAndom Walk Resampling tasks"
DOI: 10.15468/dl.2krefm
title: Occurrence Download

description: A dataset containing 22425 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rhus aromatica",
 "HasCoordinate is true"
 ]
}

 The dataset includes 22425 records from 211 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0071180-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18132472
title: Source code and data for "RAWR v1.0: a software suite for phylogenetic support estimation and other sequence-aware RAndom Walk Resampling tasks"
DOI: 10.6084/m9.figshare.28302700
title: Effects of Framing Counter-Stereotypes as Surprising on Rethinking Prior Opinions About Outgroups: The Moderating Role of Political Ideology

description: In this paper we address the unmet potential of counter-stereotypes (CS) by explicitly expressing feelings of surprise in media frames, to acknowledge the possible surprising effect attached to an encounter with a CS. Using a two-study survey-experiment (<i>N</i><sub><i>study 1</i></sub> = 475, <i>N</i><sub><i>study 2</i></sub> = 565) in the context of the Israeli – Palestinian conflict, we demonstrate the moderating role of political ideology in the effect of exposure to surprise framing of CS on attitudes toward an outgroup. The results indicate that when the feeling of surprise is explicitly expressed in media articles (compared to control), right-leaning individuals expressed more liking toward Arabs, were less inclined to social distance from Arabs, and perceived Arabs as less homogeneous. Left-leaning participants, however, remained unaffected by this explicit expression. The cause of this difference between political-ideological groups is further discussed, along with implications of such findings for research on prejudice, stereotypes, and media effects, and practices of changing dynamics between groups in conflict.
DOI: 10.6084/m9.figshare.28302700.v1
title: Effects of Framing Counter-Stereotypes as Surprising on Rethinking Prior Opinions About Outgroups: The Moderating Role of Political Ideology

description: In this paper we address the unmet potential of counter-stereotypes (CS) by explicitly expressing feelings of surprise in media frames, to acknowledge the possible surprising effect attached to an encounter with a CS. Using a two-study survey-experiment (<i>N</i><sub><i>study 1</i></sub> = 475, <i>N</i><sub><i>study 2</i></sub> = 565) in the context of the Israeli – Palestinian conflict, we demonstrate the moderating role of political ideology in the effect of exposure to surprise framing of CS on attitudes toward an outgroup. The results indicate that when the feeling of surprise is explicitly expressed in media articles (compared to control), right-leaning individuals expressed more liking toward Arabs, were less inclined to social distance from Arabs, and perceived Arabs as less homogeneous. Left-leaning participants, however, remained unaffected by this explicit expression. The cause of this difference between political-ideological groups is further discussed, along with implications of such findings for research on prejudice, stereotypes, and media effects, and practices of changing dynamics between groups in conflict.
DOI: 10.5281/zenodo.18133152
title: Mayen, Alte (Adler-) Apotheke (ca. 1924/1947)

description: Historical questionnaire/s 1924/1948 and index cards, partly selected enclosures regarding the history of a German pharmacy, catalogued via Kalliope portal (Historischer Fragebogen 1924/1948 und Karteikarten, ggf. gemeinfreie Anlagen zur Apothekengeschichte; als Katalog dient das Nachlassportal Kalliope): https://kalliope-verbund.info/DE-611-BF-70963 [Funktion: Im Findbuch anzeigen]Please note: The Kalliope catalogue entry might indicate related material in the archival folder which cannot be published due to copyright or other legal restrictions (NB: Das Katalogisat bei Kalliope kann auch auf Materialien - teils erheblichen Umfangs - verweisen, die aus archiv- oder urheberrechtlichen Gründen nicht veröffentlicht werden dürfen).Historical
DOI: 10.5281/zenodo.18133153
title: Mayen, Alte (Adler-) Apotheke (ca. 1924/1947)

description: Historical questionnaire/s 1924/1948 and index cards, partly selected enclosures regarding the history of a German pharmacy, catalogued via Kalliope portal (Historischer Fragebogen 1924/1948 und Karteikarten, ggf. gemeinfreie Anlagen zur Apothekengeschichte; als Katalog dient das Nachlassportal Kalliope): https://kalliope-verbund.info/DE-611-BF-70963 [Funktion: Im Findbuch anzeigen]Please note: The Kalliope catalogue entry might indicate related material in the archival folder which cannot be published due to copyright or other legal restrictions (NB: Das Katalogisat bei Kalliope kann auch auf Materialien - teils erheblichen Umfangs - verweisen, die aus archiv- oder urheberrechtlichen Gründen nicht veröffentlicht werden dürfen).Historical
DOI: 10.15468/dl.3pkpau
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "TaxonKey is Begonia bowerae",
 "Year 1970-2026"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0071182-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5883/ds-amphiale
title: Jazdzewska A.M., Tandberg A.H.S., Leszczynski W.

description: DNA barcode data hosted in the Data Portal of the Barcode of Life Data Systems. Records consist of specimen metadata, specimen images, and sequence data.
DOI: 10.5281/zenodo.18110441
title: [preprint] MAR: Monthly AIRS Radiances (2002-09 through 2024-08)

description: This dataset contains monthly-mean radiance observations from the NASA AIRS instrument (Chahine, 2006) on a regular, lat-lon grid. Data are available from 22 years of observations from September 2002 through August 2024. Profiles with non-nominal quality flags are excluded. Data are separated by zenith viewing angle, and orbit type (ascending vs. descending). The number of aggregated observations is included to allow for tests of statistical significance.  To distinguish between clear and cloudy scenes, we identify clear-sky observations following the methods of DeSouza-Machado et al., 2025. Namely, profiles with the top 10% of radiances in the 1231 cm-1 window channel are labeled as clear-sky. DeSouza-Machado et al., 2025 show that while this methodology is sensitive to cloud contamination in regions with high cloud cover and frequent temperature inversions, it provides a good estimate of clear-sky conditions with global coverage. Clear-sky profiles are identified separately for each 16-day AIRS orbit cycle and are then aggregated to monthly mean fields.

Spatial grid spacing is 5 degrees in longitude, with variable latitude spacing to give a roughly equal number of observations in each gridcell. 120 spectral channels on the AIRS L1C spectral grid are included here. These channels represent a subset of the 470 channels identified as the most suitable for climate analysis studies in Strow et al., 2020 (see Section 4.2). A list of channels can be found at https://doi.org/10.5281/zenodo.3878740.

Data are available in the Zarr data format to be efficiently accessed and reconfigured for different user purposes. Each spectral channel is ~370mb and the entire 470 channel dataset is ~175GB (this preliminary dataset includes every fourth channel to meet the Zenodo memory limit, but following peer review the full dataset will be made available). The included python file (MARexample_AIRSobs_averaging.py) gives an example of reading these data directly from Zenodo. Zarr format 2 is used to remain compatible with both Zarr 2 and 3 versions.

These data were produced for Shaw et al. (in prep.), which serves to document them. Please acknowledge and cite Shaw et al. if you use these data per the license.

 

References:

Chahine, M. T., and Coauthors (2006). AIRS: Improving Weather Forecasting and Providing New Data on Greenhouse Gases. Bull. Amer. Meteor. Soc., 87, 911–926, https://doi.org/10.1175/BAMS-87-7-911

DeSouza-Machado, S., Strow, L. L., & Kramer, R. J. (2025). Geophysical trends inferred from 20 years of AIRS infrared global observations. Journal of Geophysical Research: Atmospheres, 130, e2025JD043501. https://doi.org/10.1029/2025JD043501

 

Strow, L. L. and DeSouza-Machado, S. (2020). Establishment of AIRS climate-level radiometric stability using radiance anomaly retrievals of minor gases and sea surface temperature. Atmos. Meas. Tech., 13, 4619–4644, https://doi.org/10.5194/amt-13-4619-2020
DOI: 10.5281/zenodo.18110442
title: [preprint] MAR: Monthly AIRS Radiances (2002-09 through 2024-08)

description: This dataset contains monthly-mean radiance observations from the NASA AIRS instrument (Chahine, 2006) on a regular, lat-lon grid. Data are available from 22 years of observations from September 2002 through August 2024. Profiles with non-nominal quality flags are excluded. Data are separated by zenith viewing angle, and orbit type (ascending vs. descending). The number of aggregated observations is included to allow for tests of statistical significance.  To distinguish between clear and cloudy scenes, we identify clear-sky observations following the methods of DeSouza-Machado et al., 2025. Namely, profiles with the top 10% of radiances in the 1231 cm-1 window channel are labeled as clear-sky. DeSouza-Machado et al., 2025 show that while this methodology is sensitive to cloud contamination in regions with high cloud cover and frequent temperature inversions, it provides a good estimate of clear-sky conditions with global coverage. Clear-sky profiles are identified separately for each 16-day AIRS orbit cycle and are then aggregated to monthly mean fields.

Spatial grid spacing is 5 degrees in longitude, with variable latitude spacing to give a roughly equal number of observations in each gridcell. 120 spectral channels on the AIRS L1C spectral grid are included here. These channels represent a subset of the 470 channels identified as the most suitable for climate analysis studies in Strow et al., 2020 (see Section 4.2). A list of channels can be found at https://doi.org/10.5281/zenodo.3878740.

Data are available in the Zarr data format to be efficiently accessed and reconfigured for different user purposes. Each spectral channel is ~370mb and the entire 470 channel dataset is ~175GB (this preliminary dataset includes every fourth channel to meet the Zenodo memory limit, but following peer review the full dataset will be made available). The included python file (MARexample_AIRSobs_averaging.py) gives an example of reading these data directly from Zenodo. Zarr format 2 is used to remain compatible with both Zarr 2 and 3 versions.

These data were produced for Shaw et al. (in prep.), which serves to document them. Please acknowledge and cite Shaw et al. if you use these data per the license.

 

References:

Chahine, M. T., and Coauthors (2006). AIRS: Improving Weather Forecasting and Providing New Data on Greenhouse Gases. Bull. Amer. Meteor. Soc., 87, 911–926, https://doi.org/10.1175/BAMS-87-7-911

DeSouza-Machado, S., Strow, L. L., & Kramer, R. J. (2025). Geophysical trends inferred from 20 years of AIRS infrared global observations. Journal of Geophysical Research: Atmospheres, 130, e2025JD043501. https://doi.org/10.1029/2025JD043501

 

Strow, L. L. and DeSouza-Machado, S. (2020). Establishment of AIRS climate-level radiometric stability using radiance anomaly retrievals of minor gases and sea surface temperature. Atmos. Meas. Tech., 13, 4619–4644, https://doi.org/10.5194/amt-13-4619-2020
DOI: 10.15468/dl.k55283
title: Occurrence Download

description: A dataset containing 30130 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is EOD – eBird Observation Dataset",
 "OccurrenceStatus is Present",
 "RecordedBy is obsr1095700"
 ]
}

 The dataset includes 30130 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0071183-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18133176
title: Mayen, Reichskronen-Apotheke (ca. 1924/1947)

description: Historical questionnaire/s 1924/1948 and index cards, partly selected enclosures regarding the history of a German pharmacy, catalogued via Kalliope portal (Historischer Fragebogen 1924/1948 und Karteikarten, ggf. gemeinfreie Anlagen zur Apothekengeschichte; als Katalog dient das Nachlassportal Kalliope): https://kalliope-verbund.info/DE-611-BF-70963 [Funktion: Im Findbuch anzeigen]Please note: The Kalliope catalogue entry might indicate related material in the archival folder which cannot be published due to copyright or other legal restrictions (NB: Das Katalogisat bei Kalliope kann auch auf Materialien - teils erheblichen Umfangs - verweisen, die aus archiv- oder urheberrechtlichen Gründen nicht veröffentlicht werden dürfen).Historical
DOI: 10.5281/zenodo.18133177
title: Mayen, Reichskronen-Apotheke (ca. 1924/1947)

description: Historical questionnaire/s 1924/1948 and index cards, partly selected enclosures regarding the history of a German pharmacy, catalogued via Kalliope portal (Historischer Fragebogen 1924/1948 und Karteikarten, ggf. gemeinfreie Anlagen zur Apothekengeschichte; als Katalog dient das Nachlassportal Kalliope): https://kalliope-verbund.info/DE-611-BF-70963 [Funktion: Im Findbuch anzeigen]Please note: The Kalliope catalogue entry might indicate related material in the archival folder which cannot be published due to copyright or other legal restrictions (NB: Das Katalogisat bei Kalliope kann auch auf Materialien - teils erheblichen Umfangs - verweisen, die aus archiv- oder urheberrechtlichen Gründen nicht veröffentlicht werden dürfen).Historical
DOI: 10.25418/crick.30988024
title: CRISPR-Cas9 screening identifies KRAS-induced COX2 as a driver of immunotherapy resistance in lung cancer.

description: Datasets associated with CRISPR-Cas9 screening identifies KRAS-induced COX2 as a driver of immunotherapy resistance in lung cancer. Boumelha, J., de Castro, A., Bah, N., Cha, H., de Carné Trécesson, S., Rana, S., ... & Downward, J. (2024). CRISPR–Cas9 screening identifies KRAS-induced COX2 as a driver of immunotherapy resistance in lung cancer. <i>Cancer research</i>, <i>84</i>(14), 2231-2246.
DOI: 10.25418/crick.30988024.v1
title: CRISPR-Cas9 screening identifies KRAS-induced COX2 as a driver of immunotherapy resistance in lung cancer.

description: Datasets associated with CRISPR-Cas9 screening identifies KRAS-induced COX2 as a driver of immunotherapy resistance in lung cancer. Boumelha, J., de Castro, A., Bah, N., Cha, H., de Carné Trécesson, S., Rana, S., ... & Downward, J. (2024). CRISPR–Cas9 screening identifies KRAS-induced COX2 as a driver of immunotherapy resistance in lung cancer. <i>Cancer research</i>, <i>84</i>(14), 2231-2246.
DOI: 10.5281/zenodo.18133158
title: Agent Based Modelling
DOI: 10.5281/zenodo.18133159
title: Agent Based Modelling
DOI: 10.5281/zenodo.18133202
title: Mechernich, Adler-Apotheke (ca. 1924/1947)

description: Historical questionnaire/s 1924/1948 and index cards, partly selected enclosures regarding the history of a German pharmacy, catalogued via Kalliope portal (Historischer Fragebogen 1924/1948 und Karteikarten, ggf. gemeinfreie Anlagen zur Apothekengeschichte; als Katalog dient das Nachlassportal Kalliope): https://kalliope-verbund.info/DE-611-BF-70963 [Funktion: Im Findbuch anzeigen]Please note: The Kalliope catalogue entry might indicate related material in the archival folder which cannot be published due to copyright or other legal restrictions (NB: Das Katalogisat bei Kalliope kann auch auf Materialien - teils erheblichen Umfangs - verweisen, die aus archiv- oder urheberrechtlichen Gründen nicht veröffentlicht werden dürfen).Historical
DOI: 10.5281/zenodo.18133201
title: Mechernich, Adler-Apotheke (ca. 1924/1947)

description: Historical questionnaire/s 1924/1948 and index cards, partly selected enclosures regarding the history of a German pharmacy, catalogued via Kalliope portal (Historischer Fragebogen 1924/1948 und Karteikarten, ggf. gemeinfreie Anlagen zur Apothekengeschichte; als Katalog dient das Nachlassportal Kalliope): https://kalliope-verbund.info/DE-611-BF-70963 [Funktion: Im Findbuch anzeigen]Please note: The Kalliope catalogue entry might indicate related material in the archival folder which cannot be published due to copyright or other legal restrictions (NB: Das Katalogisat bei Kalliope kann auch auf Materialien - teils erheblichen Umfangs - verweisen, die aus archiv- oder urheberrechtlichen Gründen nicht veröffentlicht werden dürfen).Historical
DOI: 10.15468/dl.tudhbf
title: Occurrence Download

description: A dataset containing 34983 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-3.66682 36.84461,-3.49743 36.84544,-3.49795 36.92488,-3.66752 36.92404,-3.66682 36.84461))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 34983 records from 78 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0071185-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5066/p1ryhdr7
title: National assessment of shoreline change: A GIS compilation of vector shorelines (1949 to 2015) and associated shoreline change data for the west coast of Alaska, Cape Prince of Wales to Kotlik River

description: This data release comprises geospatial data of historical shoreline positions and long-term (greater than 60 years) and short-term (less than 40 years) rate of change statistics from the west coast of Alaska from Cape Prince of Wales to Kotlik River for the years 1949 to 2015.
DOI: 10.5281/zenodo.16326375
title: The Axis Model: A Unified Framework for Emergent Particle Structure, Cosmology, and Gravitational Phenomena

description: This repository contains the computational pipelines and empirical validation notebooks for the Axis Model framework—a geometric unification program in which fundamental particles and interactions emerge from scalar-stabilized configurations of quantized vector displacements (“mortons”).

All notebooks are designed for direct reproducibility in Google Colab and mirror the figures, fits, and statistical tests reported in the companion manuscripts. Exploratory prototypes from early development are retained for archival comparison but superseded by preregistered and corrected pipelines.

Domains covered





Gravitational wave anomalies: frequency-scan pipelines with preregistered specifications and family-wise error control.




Cosmological scaling: CMB large-angle suppression, dark-energy scaling, Hubble-tension diagnostics.




Astrophysical structure: galactic rotation curves, lensing deviations, Einstein Cross modeling, dispersion relations.




Particle benchmarks: electron finite-energy radius, muon decay, neutrino mass fits, chirality structure.




Theoretical extensions:





Statistical reproducibility and error-control formalism.




Recursive dimensional growth into tri-vector geometry.




Updated electron Morton benchmarks consistent with collider bounds and Planck cutoff.




First-principles derivation of the fine-structure constant (Appendix AK) — including canonical EFT normalization, projection-geometry factors, one-loop RG flow, and ppm-level two-loop stability bounds.





Minor clarifications and interpretive refinements.This version tightens the presentation of the cosmological sector by clarifying the role of effective scaling parameters, sharpening the separation between illustrative benchmarks and observational limits, and improving the explanatory linkage between low- and high-ℓ\ellℓ CMB treatments. No core derivations, model structure, or empirical inputs have been changed.

This dataset supersedes prior releases. For questions, compatibility issues, or support with the Colab notebooks, contact: amortonmd@gmail.com