cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25549/inscriptifact-ouc110852398
title: Persepolis Fortification Anepigraphic Tablet 0374.204, PFAnep 0374.204

description: [Text Description:] Administrative tablet with seals ❧ [Text or Publication Number Note:] PFAnep 0374.204, PFUT 0374-204 ❧ [Excavation Description:] Found during Oriental Institute's excavations in Spring, 1933, near the northeastern corner of the stone platform of Persepolis, in two small rooms of a bastion in the fortification wall ❧ [Medium:] Clay ❧ [Script Note:] Non-Text ❧ [Physical Object Description:] Clay tablet with seal impression on bottom edge? obverse. ❧ [Physical Object Note:] Some damage and cracks on all surfaces.
DOI: 10.25549/inscriptifact-ouc110852334
title: Persepolis Fortification Anepigraphic Tablet 0374.204, PFAnep 0374.204

description: [Text Description:] Administrative tablet with seals ❧ [Text or Publication Number Note:] PFAnep 0374.204, PFUT 0374-204 ❧ [Excavation Description:] Found during Oriental Institute's excavations in Spring, 1933, near the northeastern corner of the stone platform of Persepolis, in two small rooms of a bastion in the fortification wall ❧ [Medium:] Clay ❧ [Script Note:] Non-Text ❧ [Physical Object Description:] Clay tablet with seal impression on bottom edge? obverse. ❧ [Physical Object Note:] Some damage and cracks on all surfaces.
DOI: 10.25549/inscriptifact-ouc110853169
title: Persepolis Fortification Anepigraphic Tablet 0374.206, PFAnep 0374.206

description: [Text Description:] Administrative tablet with seals ❧ [Text or Publication Number Note:] PFAnep 0374.206, PFUT 0374-206 ❧ [Excavation Description:] Found during Oriental Institute's excavations in Spring, 1933, near the northeastern corner of the stone platform of Persepolis, in two small rooms of a bastion in the fortification wall ❧ [Medium:] Clay ❧ [Script Note:] Non-Text ❧ [Physical Object Description:] Clay tablet with seal impressions on left edge, obverse, reverse. ❧ [Physical Object Note:] Right and bottom edges broken. Cracks on reverse. (Upper and bottom edges may be reversed)
DOI: 10.15468/dl.meacqb
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Alternanthera sessilis (L.) R.Br. ex DC., Canavalia cathartica Thouars, Canna indica L., Cenchrus echinatus L., Commelina diffusa Burm.f., Cyperus rotundus L., Lantana camara L., Mikania micrantha Kunth, Mimosa pudica L., Paspalum vaginatum Sw., Physalis peruviana L., Psidium guajava L., Sesbania cannabina (Retz.) Poir., Sphagneticola trilobata (L.) Pruski)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "Country is one of (Tuvalu)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007578-250415084134356/datasets/export for details.
DOI: 10.5281/zenodo.18774680
title: TROPoe User Guide: Use Cases

description: TROPoe (tropospheric remotely observed profiling via optimal estimation) is a software package designed to retrieve thermodynamic profiles and cloud properties from ground-based microwave radiometers and infrared spectrometers.  It uses a physical-iterative approach and provides a full error characterization of each retrieval including information content.  Additional observations that provide further constraints on the retrieved profiles are easily included. TROPoe has been packaged in a Docker software container allowing it to be easily ported to other computer systems, ranging from laptops to high-performance computers.  

TROPoe is described by the NOAA Technical Memorandum OAR GSD-78 (doi:10.25923/dhza-n042) titled "TROPoe User Guide: v1.0".  In that guide, there are multiple use cases that are presented to illustrate how to set up the input directories, configure the retrieval, and analyze the output.  Those use cases are provided in this dataset.
DOI: 10.5281/zenodo.18774679
title: TROPoe User Guide: Use Cases

description: TROPoe (tropospheric remotely observed profiling via optimal estimation) is a software package designed to retrieve thermodynamic profiles and cloud properties from ground-based microwave radiometers and infrared spectrometers.  It uses a physical-iterative approach and provides a full error characterization of each retrieval including information content.  Additional observations that provide further constraints on the retrieved profiles are easily included. TROPoe has been packaged in a Docker software container allowing it to be easily ported to other computer systems, ranging from laptops to high-performance computers.  

TROPoe is described by the NOAA Technical Memorandum OAR GSD-78 (doi:10.25923/dhza-n042) titled "TROPoe User Guide: v1.0".  In that guide, there are multiple use cases that are presented to illustrate how to set up the input directories, configure the retrieval, and analyze the output.  Those use cases are provided in this dataset.
DOI: 10.5281/zenodo.14507070
title: Ferroptosis is a pivotal player in radiotherapy-induced cell death of colorectal cancer cells.

description: This dataset contains the prism files, with all the individual data point that lie at the basis of the results discussed in the paper entitled: "Ferroptosis is a pivotal player in radiotherapy-induced cell death of colorectal cancer cells."
DOI: 10.5281/zenodo.14507069
title: Ferroptosis is a pivotal player in radiotherapy-induced cell death of colorectal cancer cells.

description: This dataset contains the prism files, with all the individual data point that lie at the basis of the results discussed in the paper entitled: "Ferroptosis is a pivotal player in radiotherapy-induced cell death of colorectal cancer cells."
DOI: 10.15468/eaehkw
title: A new species of Ancistrotropis (Leguminosae) from Parque Nacional do Caparaó (Brazil)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Santos, Felipe Da Silva, Ribeiro, Carolina Lima, Snak, Cristiane, Delgado-Salinas, Alfonso, Queiroz, Luciano Paganucci De (2025): A new species of Ancistrotropis (Leguminosae) from Parque Nacional do Caparaó (Brazil). Phytotaxa 726 (4): 272-280, DOI: 10.11646/phytotaxa.726.4.4, URL: https://doi.org/10.11646/phytotaxa.726.4.4AbstractThe Parque Nacional do Caparaó is a region recognised for its biodiversity within the Brazilian Atlantic Forest and as an important conservation area. Within the park, a new species of Ancistrotropis was found, which we formally propose here as A. pulchra. Based on morphological data, we found sufficient evidence to classify it within the genus and to distinguish it from other known taxa of Ancistrotropis. Furthermore, we highlight the importance of conserving these areas of high endemism and the need to centralise information on the species protected within the park.
DOI: 10.5281/zenodo.10417180
title: A LARGE INTEGRATED KNOWLEDGE GRAPH OF ECNOMICS, FINANCE AND BANKING

description: Creating the first release to obtain a DOI on Zenodo
DOI: 10.5281/zenodo.10417179
title: A LARGE INTEGRATED KNOWLEDGE GRAPH OF ECNOMICS, FINANCE AND BANKING

description: Creating the first release to obtain a DOI on Zenodo
DOI: 10.5284/1139542
title: Evaluation at Mattersey Hall

description: null
DOI: 10.15468/dl.yarema
title: Occurrence Download

description: A dataset containing 2095160 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Europe",
 "Country is Netherlands",
 "DatasetKey is EOD – eBird Observation Dataset",
 "Year 2020-2026"
 ]
}

 The dataset includes 2095160 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000360-260225131425191/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.a9jxkm
title: Occurrence Download

description: A dataset containing 472 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pinus culminicola"
 ]
}

 The dataset includes 472 records from 51 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000409-260225131425191/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.awsvb2
title: Occurrence Download

description: A dataset containing 1633 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Viburnum triphyllum",
 "Country is Colombia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1633 records from 99 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000410-260225131425191/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18681307
title: An automated platform for tailored late-stage halogenation of pharmaceuticals

description: This repository contains data accompanying the publication An automated platform for tailored late-stage halogenation of pharmaceuticals

 

Isolated compound characterisation data contains the NMR, FTIR, and HRMS data for all isolated compounds reported in the accompanying publication. The directory is seperated by compound, then by data type (FTIR, HRMS, NMR). FTIR data is included as .pdf files containing the labelled spectra. HRMS data is included as a raw .d file, which can be annalysed using MassHunter. All NMR compound data is seperated by solvent type (if recorded in multiple solvents), then experiment type, and is included as raw data folders.

 

High-throughput NMR data contains all NMR spectra used to optimise the halogenations of the investigated scope of pharmaceuticals. Integration data includes .csv files of all integrals used in high-throughput yield calculations, calculated from the processed crude NMR spectra. Each .csv file is assocaited with a particular substrate and halogenation. The directory 1H crude spectra contains all raw NMR data, in the form of raw data folders. These are seperated by substrate, then by optimisation stage, then by halogenating reagent, then TFA equivalent. Starting material 1H NMR spectra, as well as raw data of crude reaction mixtures not used in final condition determination, are also included.
DOI: 10.5281/zenodo.18681306
title: An automated platform for tailored late-stage halogenation of pharmaceuticals

description: This repository contains data accompanying the publication An automated platform for tailored late-stage halogenation of pharmaceuticals

 

Isolated compound characterisation data contains the NMR, FTIR, and HRMS data for all isolated compounds reported in the accompanying publication. The directory is seperated by compound, then by data type (FTIR, HRMS, NMR). FTIR data is included as .pdf files containing the labelled spectra. HRMS data is included as a raw .d file, which can be annalysed using MassHunter. All NMR compound data is seperated by solvent type (if recorded in multiple solvents), then experiment type, and is included as raw data folders.

 

High-throughput NMR data contains all NMR spectra used to optimise the halogenations of the investigated scope of pharmaceuticals. Integration data includes .csv files of all integrals used in high-throughput yield calculations, calculated from the processed crude NMR spectra. Each .csv file is assocaited with a particular substrate and halogenation. The directory 1H crude spectra contains all raw NMR data, in the form of raw data folders. These are seperated by substrate, then by optimisation stage, then by halogenating reagent, then TFA equivalent. Starting material 1H NMR spectra, as well as raw data of crude reaction mixtures not used in final condition determination, are also included.
DOI: 10.15468/dl.jgqxq8
title: Occurrence Download

description: A dataset containing 144156 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Malacology Collection at the Academy of Natural Sciences of Philadelphia",
 "Issue is one of (Coordinate out of range, Coordinate invalid, Country coordinate mismatch, Country mismatch, Country invalid, Country derived from coordinates, Continent coordinate mismatch, Continent country mismatch, Continent invalid, Continent derived from country, Continent derived from coordinates, Presumed negated longitude, Presumed negated latitude, Recorded date mismatch, Recorded date invalid, Recorded date unlikely, Taxon match fuzzy, Taxon match higher rank, Individual count conflicts with occurrence status)"
 ]
}

 The dataset includes 144156 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000391-260225131425191/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5pc5y3
title: Occurrence Download

description: A dataset containing 561 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Specimen, Machine Observation)",
 "Country is one of (Colombia, Peru, Ecuador, Panama, Venezuela (Bolivarian Republic of), Guyana)",
 "OccurrenceStatus is Present",
 "TaxonKey is Phaethornis anthophilus"
 ]
}

 The dataset includes 561 records from 58 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000414-260225131425191/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kmdn2d
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "Geometry POLYGON((-80.2043 43.89293,-80.15226 43.89293,-80.15226 43.92876,-80.2043 43.92876,-80.2043 43.89293))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Insecta"
 ]
}

 The dataset includes 7 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000412-260225131425191/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.24trn4
title: Occurrence Download

description: A dataset containing 561 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Specimen, Machine Observation)",
 "Country is one of (Colombia, Peru, Ecuador, Panama, Venezuela (Bolivarian Republic of), Guyana)",
 "OccurrenceStatus is Present",
 "TaxonKey is Phaethornis anthophilus"
 ]
}

 The dataset includes 561 records from 58 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000413-260225131425191/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y3gzkh
title: Occurrence Download

description: A dataset containing 594 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Tofieldia racemosa"
 ]
}

 The dataset includes 594 records from 62 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000416-260225131425191/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48580/d4f7.v132
title: International Plant Names Index (IPNI)
DOI: 10.5281/zenodo.18752024
title: Supplementary data for CRISPR spacer-protospacer matching benchmarks

description: Dataset Overview



Benchmark inputs, raw tool outputs, and logs for CRISPR spacer–protospacer matching benchmarks (real and simulated sets).

Raw outputs and subsampled/simulated inputs are included; large intermediate tools_results.tsv tables are omitted to keep size manageable.

Logs, SLURM logs, and job/bash scripts are preserved for reproducibility.


For more information, see the github repository:https://github.com/UriNeri/spacer_matching_bench

Note - the files below serve as the input for the actual per-tool comparison. The:multi_metric_distances.parquet and performance_results_hamming_mm5.tsv are only some of the files generated using the raw tool outputs. TO recreate the per-metric, up to n distance, per alignment / region, results, you can see the notebooks in the github repository (for example in the 3rd code cell in Performance_simulated_v2.ipynb , or via the Regenerate_multimetric_files.ipynb notebook). Note that the code version producing these should be consistent up to commit bdf114c.

Archive Files



real_data_v2.tar.zst

simulated_data_v2.tar.zst


Contents and Structure

real_data_v2.tar.zst
└── results/real_data/subsamples/
    ├── fraction_0.0005/
    │   ├── raw_outputs/               # per-tool SAM/TSV raw results
    │   ├── subsampled_data/           # inputs: contigs for this fraction (fasta) and their metadta (tsv, from img/vr)
    │   ├── logs/                      # the benchmark CLI run logs (includes spot checked alignment tracebacks)
    │   ├── slurm_logs/                # SLURM outputs (stdout/stderr)
    │   ├── bash_scripts/              # bash launchers (one per tool)
    │   ├── job_scripts/               # per-tool job submission ("sbatch") scripts
    │   ├── multi_metric_distances.parquet # 
    │   └── performance_results_hamming_mm5.tsv
    ├── fraction_0.001/
    ├── fraction_0.005/
    ├── fraction_0.01/
    ├── fraction_0.05/
    ├── fraction_0.1/
    └── fraction_1/

simulated_data_v2.tar.zst
└── results/simulated/
    ├── ns_100_nc_5000/
    ├── ns_500_nc_5000_HIGH_INSERTION_RATE/
    ├── ns_50000_nc_5000/
    ├── ns_75000_nc_5000/
    ├── ns_100000_nc_10000/
    ├── ns_100000_nc_20000/
    ├── ns_3826979_nc_421431_real_baseline/    └── ns_500000_nc_100000/
        ├── raw_outputs/               # per-tool SAM/TSV raw results
        ├── simulated_data/        |    ├── planned_ground_truth.tsv # locations and number of substitions for each location a spacer was inserted into a contig         |    ├── simulated_contigs.fa        |    └── simulated_spacers.fa
        ├── slurm_logs/        ├── logs/
        ├── bash_scripts/        ├── job_scripts/
        ├── multi_metric_distances.parquet
        └── performance_results_hamming_mm5.tsv
DOI: 10.5281/zenodo.15171877
title: Supplementary data for CRISPR spacer-protospacer matching benchmarks

description: Dataset Overview



Benchmark inputs, raw tool outputs, and logs for CRISPR spacer–protospacer matching benchmarks (real and simulated sets).

Raw outputs and subsampled/simulated inputs are included; large intermediate tools_results.tsv tables are omitted to keep size manageable.

Logs, SLURM logs, and job/bash scripts are preserved for reproducibility.


For more information, see the github repository:https://github.com/UriNeri/spacer_matching_bench

Note - the files below serve as the input for the actual per-tool comparison. The:multi_metric_distances.parquet and performance_results_hamming_mm5.tsv are only some of the files generated using the raw tool outputs. TO recreate the per-metric, up to n distance, per alignment / region, results, you can see the notebooks in the github repository (for example in the 3rd code cell in Performance_simulated_v2.ipynb , or via the Regenerate_multimetric_files.ipynb notebook). Note that the code version producing these should be consistent up to commit bdf114c.

Archive Files



real_data_v2.tar.zst

simulated_data_v2.tar.zst


Contents and Structure

real_data_v2.tar.zst
└── results/real_data/subsamples/
    ├── fraction_0.0005/
    │   ├── raw_outputs/               # per-tool SAM/TSV raw results
    │   ├── subsampled_data/           # inputs: contigs for this fraction (fasta) and their metadta (tsv, from img/vr)
    │   ├── logs/                      # the benchmark CLI run logs (includes spot checked alignment tracebacks)
    │   ├── slurm_logs/                # SLURM outputs (stdout/stderr)
    │   ├── bash_scripts/              # bash launchers (one per tool)
    │   ├── job_scripts/               # per-tool job submission ("sbatch") scripts
    │   ├── multi_metric_distances.parquet # 
    │   └── performance_results_hamming_mm5.tsv
    ├── fraction_0.001/
    ├── fraction_0.005/
    ├── fraction_0.01/
    ├── fraction_0.05/
    ├── fraction_0.1/
    └── fraction_1/

simulated_data_v2.tar.zst
└── results/simulated/
    ├── ns_100_nc_5000/
    ├── ns_500_nc_5000_HIGH_INSERTION_RATE/
    ├── ns_50000_nc_5000/
    ├── ns_75000_nc_5000/
    ├── ns_100000_nc_10000/
    ├── ns_100000_nc_20000/
    ├── ns_3826979_nc_421431_real_baseline/    └── ns_500000_nc_100000/
        ├── raw_outputs/               # per-tool SAM/TSV raw results
        ├── simulated_data/        |    ├── planned_ground_truth.tsv # locations and number of substitions for each location a spacer was inserted into a contig         |    ├── simulated_contigs.fa        |    └── simulated_spacers.fa
        ├── slurm_logs/        ├── logs/
        ├── bash_scripts/        ├── job_scripts/
        ├── multi_metric_distances.parquet
        └── performance_results_hamming_mm5.tsv
DOI: 10.57830/2306637
title: Wadeable Stream Habitat Assessments in the Southeastern United States, 2017-2024 Cumulative Data Package

description: This package contains data collected by the Southeast Coast Network (SECN), a part of the Inventory and Monitoring Division (IMD) of the National Park Service (NPS). Data was collected under the  Wadeable Stream Habitat Monitoring Protocol (McDonald et al. 2018) during the year 2023. Wadeable stream habitat monitoring surveys were conducted on two stream reaches at Kennesaw Mountain National Battlefield Park (KEMO), one stream reach at Horseshoe Bend National Military Park (HOBE), and one stream reach at Ocmulgee Mounds National Historical Park (OCMU). The data contained within describe geomorphic and habitat conditions observed within the monitored stream reaches at the time of the surveys. The geomorphic dimensions (cross-sectional morphology, channel widths, bank heights, bank angles, bank vegetative cover, and reach slope and sinuosity) of the selected stream reaches are measured to understand the natural range of variability of similar sized streams within and between the park units. Understanding the variability in channel morphology between study reaches will determine which reaches are being negatively impacted by upstream land use and land cover and provide an understanding of long-term trajectories of change along each stream reach. The habitat data provide an understanding of the habitats that are available for colonization by benthic invertebrates within each stream reach. Habitat measures selected for this protocol focus on inventorying large woody debris and bed sediment within each reach. These components of habitat have been shown to be highly influential in the distribution and character of biota within a stream. These data will also facilitate future complementary studies that can focus on the other physical factors (e.g., current, temperature, and oxygen) that influence biotic assemblages.
DOI: 10.15468/dl.xxc376
title: Occurrence Download

description: A dataset containing 207101 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Dama dama"
 ]
}

 The dataset includes 207101 records from 424 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000334-260225131425191/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/a6oeql
title: Taxon list of Hymenoptera from Germany compiled in the context of the GBOL project

description: http://www.diversitymobile.net/wiki/About_%22Taxon_list_of_Hymenoptera_from_Germany_compiled_in_the_context_of_the_GBOL_project%22
DOI: 10.5281/zenodo.18716279
title: Rhythmic-skills-music-training-and-cognition

description: Data and scripts used to generate the figures in: Lizcano et al., 2026 "Rhythmic skills mediate the link between music training and cognition via attention and phonological processing