cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25549/inscriptifact-ouc110626282
title: Persepolis Fortification Anepigraphic Tablet 1082.001, PFAnep 1082.001

description: [Text Description:] Administrative text with seals ❧ [Text or Publication Number Note:] PFAnep 1082.001, PFUT 1082-001 ❧ [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 obverse, and reverse. ❧ [Physical Object Note:] Networks of cracks on left edge, obverse, reverse. Broken area on right edge.
DOI: 10.25549/inscriptifact-ouc110626295
title: Persepolis Fortification Aramaic Text 696, PFAT 696

description: [Text Description:] Administrative text with seals ❧ [Text or Publication Number Note:] PFAT 696 ❧ [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:] Aramaic ❧ [Physical Object Description:] Clay tablet with Aramaic text. Seal impression on obverse. ❧ [Physical Object Note:] Damage or cracks on obverse,reverse and upper edge.
DOI: 10.25549/inscriptifact-ouc110626283
title: Persepolis Fortification Aramaic Text 697, PFAT 697

description: [Text Description:] Administrative text with seals ❧ [Text or Publication Number Note:] PFAT 697 ❧ [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:] Aramaic ❧ [Physical Object Description:] Clay tablet with Aramaic text. Seal impressions on flat edge, obverse and reverse. ❧ [Physical Object Note:] Damage or cracks on bottom edge, flat edge and obverse.
DOI: 10.25549/inscriptifact-ouc110626276
title: Persepolis Fortification Aramaic Text 697, PFAT 697

description: [Text Description:] Administrative text with seals ❧ [Text or Publication Number Note:] PFAT 697 ❧ [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:] Aramaic ❧ [Physical Object Description:] Clay tablet with Aramaic text. Seal impressions on flat edge, obverse and reverse. ❧ [Physical Object Note:] Damage or cracks on bottom edge, flat edge and obverse.
DOI: 10.25549/inscriptifact-ouc110626293
title: Persepolis Fortification Aramaic Text 697, PFAT 697

description: [Text Description:] Administrative text with seals ❧ [Text or Publication Number Note:] PFAT 697 ❧ [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:] Aramaic ❧ [Physical Object Description:] Clay tablet with Aramaic text. Seal impressions on flat edge, obverse and reverse. ❧ [Physical Object Note:] Damage or cracks on bottom edge, flat edge and obverse.
DOI: 10.25549/inscriptifact-ouc110626849
title: Persepolis Fortification Aramaic Text 710, PFAT 710

description: [Text Description:] Administrative text with seals ❧ [Text or Publication Number Note:] PFAT 710 ❧ [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:] Aramaic ❧ [Physical Object Description:] Clay tablet with Aramaic text. Seal impressions on flat edge, obverse, reverse and upper edge. ❧ [Physical Object Note:] Damage or cracks on bottom edge, obverse, reverse and upper edge.
DOI: 10.25549/inscriptifact-ouc110626267
title: Persepolis Fortification Aramaic Text 696, PFAT 696

description: [Text Description:] Administrative text with seals ❧ [Text or Publication Number Note:] PFAT 696 ❧ [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:] Aramaic ❧ [Physical Object Description:] Clay tablet with Aramaic text. Seal impression on obverse. ❧ [Physical Object Note:] Damage or cracks on obverse,reverse and upper edge.
DOI: 10.25549/inscriptifact-ouc110626839
title: Persepolis Fortification Aramaic Text 710, PFAT 710

description: [Text Description:] Administrative text with seals ❧ [Text or Publication Number Note:] PFAT 710 ❧ [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:] Aramaic ❧ [Physical Object Description:] Clay tablet with Aramaic text. Seal impressions on flat edge, obverse, reverse and upper edge. ❧ [Physical Object Note:] Damage or cracks on bottom edge, obverse, reverse and upper edge.
DOI: 10.25549/inscriptifact-ouc110626814
title: Persepolis Fortification Aramaic Text 710, PFAT 710

description: [Text Description:] Administrative text with seals ❧ [Text or Publication Number Note:] PFAT 710 ❧ [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:] Aramaic ❧ [Physical Object Description:] Clay tablet with Aramaic text. Seal impressions on flat edge, obverse, reverse and upper edge. ❧ [Physical Object Note:] Damage or cracks on bottom edge, obverse, reverse and upper edge.
DOI: 10.25549/inscriptifact-ouc110626795
title: Persepolis Fortification Aramaic Text 710, PFAT 710

description: [Text Description:] Administrative text with seals ❧ [Text or Publication Number Note:] PFAT 710 ❧ [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:] Aramaic ❧ [Physical Object Description:] Clay tablet with Aramaic text. Seal impressions on flat edge, obverse, reverse and upper edge. ❧ [Physical Object Note:] Damage or cracks on bottom edge, obverse, reverse and upper edge.
DOI: 10.25549/inscriptifact-ouc110626823
title: Persepolis Fortification Aramaic Text 710, PFAT 710

description: [Text Description:] Administrative text with seals ❧ [Text or Publication Number Note:] PFAT 710 ❧ [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:] Aramaic ❧ [Physical Object Description:] Clay tablet with Aramaic text. Seal impressions on flat edge, obverse, reverse and upper edge. ❧ [Physical Object Note:] Damage or cracks on bottom edge, obverse, reverse and upper edge.
DOI: 10.15468/dl.jh424m
title: Occurrence Download

description: A dataset containing 76821 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Sweden",
 "OccurrenceStatus is Present",
 "TaxonKey is Andrena"
 ]
}

 The dataset includes 76821 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026567-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tgt5gf
title: Occurrence Download

description: A dataset containing 121 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is EOD – eBird Observation Dataset",
 "PublishingCountry is Angola",
 "TaxonKey is Apus apus",
 "Year 1950-2025"
 ]
}

 The dataset includes 121 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010242-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3k7w2r
title: Occurrence Download

description: A dataset containing 239906 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Oncorhynchus mykiss"
 ]
}

 The dataset includes 239906 records from 460 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0078956-250717081556266/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.29737673
title: A Powerful Transformation of Quantitative Responses for Biobank-Scale Association Studies

description: In linear regression models with non-Gaussian errors, transformations of the response variable are widely used in a broad range of applications. Motivated by various genetic association studies, transformation methods for hypothesis testing have received substantial interest. In recent years, the rise of biobank-scale genetic studies, which feature a vast number of participants that could be around half a million, spurred the need for new transformation methods that are both powerful for detecting weak genetic signals and computationally efficient for large-scale data. In this work, we propose a novel transformation method that leverages the information of the error density. This transformation leads to locally most powerful tests and therefore has strong power for detecting weak signals. To make the computation scalable to biobank-scale studies, we harnessed the nature of weak genetic signals and proposed a consistent and computationally efficient estimator of the transformation function. Through extensive simulations and a gene-based analysis of spirometry traits from the UK Biobank, we validate that our approach maintains stringent control over Type I error rates and significantly enhances statistical power over existing methods.
DOI: 10.6084/m9.figshare.29737673.v1
title: A powerful transformation of quantitative responses for biobank-scale association studies

description: In linear regression models with non-Gaussian errors, transformations of the response variable are widely used in a broad range of applications. Motivated by various genetic association studies, transformation methods for hypothesis testing have received substantial interest. In recent years, the rise of biobank-scale genetic studies, which feature a vast number of participants that could be around half a million, spurred the need for new transformation methods that are both powerful for detecting weak genetic signals and computationally efficient for large-scale data. In this work, we propose a novel transformation method that leverages the information of the error density. This transformation leads to locally most powerful tests and therefore has strong power for detecting weak signals. To make the computation scalable to biobank-scale studies, we harnessed the nature of weak genetic signals and proposed a consistent and computationally efficient estimator of the transformation function. Through extensive simulations and a gene-based analysis of spirometry traits from the UK Biobank, we validate that our approach maintains stringent control over type I error rates and significantly enhances statistical power over existing methods.
DOI: 10.6084/m9.figshare.29737673.v2
title: A Powerful Transformation of Quantitative Responses for Biobank-Scale Association Studies

description: In linear regression models with non-Gaussian errors, transformations of the response variable are widely used in a broad range of applications. Motivated by various genetic association studies, transformation methods for hypothesis testing have received substantial interest. In recent years, the rise of biobank-scale genetic studies, which feature a vast number of participants that could be around half a million, spurred the need for new transformation methods that are both powerful for detecting weak genetic signals and computationally efficient for large-scale data. In this work, we propose a novel transformation method that leverages the information of the error density. This transformation leads to locally most powerful tests and therefore has strong power for detecting weak signals. To make the computation scalable to biobank-scale studies, we harnessed the nature of weak genetic signals and proposed a consistent and computationally efficient estimator of the transformation function. Through extensive simulations and a gene-based analysis of spirometry traits from the UK Biobank, we validate that our approach maintains stringent control over Type I error rates and significantly enhances statistical power over existing methods.
DOI: 10.15468/dl.vnug4d
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Salvelinus malma",
 "Country is United Kingdom of Great Britain and Northern Ireland",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026045-251009101135966/datasets/export for details.
DOI: 10.15468/dl.2we6z6
title: Occurrence Download

description: A dataset containing 22 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Scaphopoda)",
 "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((160 -50,170 -50,170 -40,160 -40,160 -50))"
 ]
}

 The dataset includes 22 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026047-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/7xvd9pmwc9
title: Comprehensive Characterization of Lantana camara Essential Oils: GC-MS Profiling, Antioxidant Capacity, and Drug-Likeness Prediction

description: This file contains the results obtained from the evaluation of the antioxidant activity and toxicity of the essential oil extracted from Lantana camara leaves. The biological activity assays were conducted by the Psychopharmacological Research Center of the University of Panama. The report includes GraphPad Prism files with the obtained results, as well as chromatograms derived from the phytochemical study.
DOI: 10.17632/7xvd9pmwc9.1
title: Comprehensive Characterization of Lantana camara Essential Oils: GC-MS Profiling, Antioxidant Capacity, and Drug-Likeness Prediction

description: This file contains the results obtained from the evaluation of the antioxidant activity and toxicity of the essential oil extracted from Lantana camara leaves. The biological activity assays were conducted by the Psychopharmacological Research Center of the University of Panama. The report includes GraphPad Prism files with the obtained results, as well as chromatograms derived from the phytochemical study.
DOI: 10.17632/98583gp5hp
title: Dataset of UHPC compressive and flexural strengths

description: This dataset is ultra-high performance concrete (UHPC) compressive and flexural strengths data. The compressive strength dataset contains 664 samples with 13 input features, including cement, silica fume, fly ash, slag, nano-SiO₂, limestone, quartz powder, water, fine aggregate, water-reducing agent, fiber content, curing temperature and curing time, and the target variable compressive strength (in MPa). The flexural strength dataset includes 333 samples with 15 input features. Input features encompass cement, silica fume, fly ash, slag, nano-SiO₂, limestone, quartz powder, water, aggregate, water-reducing agent, fiber content, curing method (e.g., steam, ambient), specimen length (critical for flexural testing), and the target variable flexural strength (in MPa).
DOI: 10.17632/98583gp5hp.1
title: Dataset of UHPC compressive and flexural strengths

description: This dataset is ultra-high performance concrete (UHPC) compressive and flexural strengths data. The compressive strength dataset contains 664 samples with 13 input features, including cement, silica fume, fly ash, slag, nano-SiO₂, limestone, quartz powder, water, fine aggregate, water-reducing agent, fiber content, curing temperature and curing time, and the target variable compressive strength (in MPa). The flexural strength dataset includes 333 samples with 15 input features. Input features encompass cement, silica fume, fly ash, slag, nano-SiO₂, limestone, quartz powder, water, aggregate, water-reducing agent, fiber content, curing method (e.g., steam, ambient), specimen length (critical for flexural testing), and the target variable flexural strength (in MPa).
DOI: 10.17632/ndwr9vb53p.1
title: AE data (Hsu-Nielsen tests) from overwrapped composite pressure vessel type-IV

description: Vallen files:

- Contains the raw acoustic emission data for each of the 40 marked areas on the pressure vessel
- This data was directly recorded using the Vallen measurement system

Matlab files and h5 files:

- These folders contain processed and filtered data, with data for each measurement area provided separately within each folder type
- For each area, the data is structured into two main arrays:
 -- TRAI_TIME_MAP (variable mapping): This is a numerical array with dimensions (2, N, 4)
 --- The first dimension (size 2) serves to differentiate between two types of information for each measurement event and sensor:
 ---- Index 1 (Matlab m files)/ Index 0 (Python HDF files): Contains the Transaction Record Identifiers (TRAIs). Each TRAI is a unique identifier associated with a specific acoustic emission event detected by a sensor
 ---- Index 2 (Matlab m files)/ Index 1 (Python HDF files): Contains the Time of Arrival (ToA) of the acoustic emission signal at each sensor, measured in microseconds or other consistent time units from the start of the recording epoch for that event
 --- N represents the total number of distinct acoustic emission measurements (events, e.g., pencil lead breaks) recorded for that specific area
 --- The third dimension (size 4) corresponds to the four acoustic emission sensors used in the setup
 --- For example, TRAI_TIME_MAP[1, i, j] would provide the TRAI for the i-th measurement event as captured by the j-th sensor, while TRAI_TIME_MAP[2, i, j] would provide the corresponding Time of Arrival (using Matlab)

 -- TRAI_WAVEFORMS: This array with dimensions (L, M) stores the complete acoustic emission waveform data for all recorded signals.
 --- L is the sample length of each individual signal (e.g., 4096 samples)
 --- M is the total number of unique recorded waveforms (identified by TRAIs) for that specific measurement area (e.g., M = 610).
 --- This array serves as a "pool" of all waveforms, where each column m is a complete, unique signal

- Explicit Mapping Logic:
 -- The two arrays are linked via an index-based lookup. To find the waveform for a specific event i and sensor j, you must perform the following two steps:
 --- Get the Waveform Index: First, retrieve the mapping index, let's call it m, from TRAI_TIME_MAP. This index m corresponds to the specific TRAI for that measurement
 --- m = TRAI_TIME_MAP[1,i,j] (Matlab usage)/ m = TRAI_TIME_MAP[0,i,j] (Python HDF usage)
 --- Retrieve the Waveform: Use this index m to select the correct column from the TRAI_WAVEFORMS array. The complete signal is the entirety of that column
 --- Waveform Signal = TRAI_WAVEFORMS[:,m]
 -- Matlab uses numbering from 1, HDF files are created in Python therefore index numbers start from 0
DOI: 10.17632/dw2dt93rfz
title: Molecular dynamics simulation of SiO2 vaporization: implications for Si isotope fractionation during evaporation

description: Evaporation and condensation coefficients of Si and O at 3000 K, 3200 K and 3400 K
DOI: 10.17632/dw2dt93rfz.1
title: Molecular dynamics simulation of SiO2 vaporization: implications for Si isotope fractionation during evaporation

description: Evaporation and condensation coefficients of Si and O at 3000 K, 3200 K and 3400 K
DOI: 10.5281/zenodo.15492526
title: Project Serra da Mantiqueira -- Health and Safety Dataset

description: An enhanced weathering project executed on ~1000 ha of sugarcane plantation in São Paulo, Brazil. The purpose of the project is to remove carbon durably through the application of locally sourced basaltic rock powder whilst restoring degraded soils. The total project area for this dataset is ~500 ha, with an application rate of 10t/ha. The sugarcane plantation has been divided into control and treatment areas. This data set contains health and safety data as defined by the ERW Data Quarry, which includes: application rate and date, feedstock screen of metals, asbestos and asbestiform minerals, and radioactivity, and soil and biomass levels of metals. To request access to the full dataset, please visit the ERW Data Quarry at https://cascadeclimate.org/blog/erw-data-quarry
DOI: 10.5281/zenodo.15492525
title: Project Serra da Mantiqueira -- Health and Safety Dataset

description: An enhanced weathering project executed on ~1000 ha of sugarcane plantation in São Paulo, Brazil. The purpose of the project is to remove carbon durably through the application of locally sourced basaltic rock powder whilst restoring degraded soils. The total project area for this dataset is ~500 ha, with an application rate of 10t/ha. The sugarcane plantation has been divided into control and treatment areas. This data set contains health and safety data as defined by the ERW Data Quarry, which includes: application rate and date, feedstock screen of metals, asbestos and asbestiform minerals, and radioactivity, and soil and biomass levels of metals. To request access to the full dataset, please visit the ERW Data Quarry at https://cascadeclimate.org/blog/erw-data-quarry