cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.17278605
title: DACHS/MOFs/AutoMOFs_4/Analysis/X-ray_Scattering/MOUSE/McSAS

description: DACHS:

The DACHS (Database for Automation, Characterization and Holistic Synthesis) project aims to create completely traceable experimental data, covering syntheses, measurements, analyses, and interpretations.  DACHS_MOFs focuses on the synthesis and characterisation of metal-organic frameworks, across multiple, automation-assisted experimental series (AutoMOFs), with the overall goal of producing reproducible MOF samples through tracking of the synthesis parameters. 

DACHS_MOFs is simultaneously used to test the DACHS principles. 

This upload contain analysis of SAXS data from AutoMOFs_4 using McSAS3 (bamresearch.github.io/McSAS3/)

AutoMOFs_4

What: 54 samples (H001 - H010, L001 - L005, M001 - M015, P001 - P010, T000 - T013)

Why: Initial systems testing, consistency/repeatability 

Technique: SAXS (Small-Angle X-ray Scattering)

Analysis: McSAS3 (Monte Carlo-based size distribution extraction)

File Naming

Each file is named according the associated measured sample.

How to view the files:

To open files, any HDF5 compatable viewer should work (e.g. DAWN, HDF view, H5Web etc).  It is also possible to view files in Python using the h5py library. Jupyter notebooks will also be made available to explore the files.

File structure:

Information on the model used for the fitting process are stored in /analyses/MCResult1/model

The resulting side distribution histograms can be found within the files at /analyses/MCResult1/histograms

File storage:

To maintain compatability with scripts uploaded to the DACHS community, data from this upload should be stored locally in the following file path: 

DACHS/MOFs/AutoMOFs_4/Analysis/X-ray_Scattering/MOUSE/McSAS
DOI: 10.5281/zenodo.17278606
title: DACHS/MOFs/AutoMOFs_4/Analysis/X-ray_Scattering/MOUSE/McSAS

description: DACHS:

The DACHS (Database for Automation, Characterization and Holistic Synthesis) project aims to create completely traceable experimental data, covering syntheses, measurements, analyses, and interpretations.  DACHS_MOFs focuses on the synthesis and characterisation of metal-organic frameworks, across multiple, automation-assisted experimental series (AutoMOFs), with the overall goal of producing reproducible MOF samples through tracking of the synthesis parameters. 

DACHS_MOFs is simultaneously used to test the DACHS principles. 

This upload contain analysis of SAXS data from AutoMOFs_4 using McSAS3 (bamresearch.github.io/McSAS3/)

AutoMOFs_4

What: 54 samples (H001 - H010, L001 - L005, M001 - M015, P001 - P010, T000 - T013)

Why: Initial systems testing, consistency/repeatability 

Technique: SAXS (Small-Angle X-ray Scattering)

Analysis: McSAS3 (Monte Carlo-based size distribution extraction)

File Naming

Each file is named according the associated measured sample.

How to view the files:

To open files, any HDF5 compatable viewer should work (e.g. DAWN, HDF view, H5Web etc).  It is also possible to view files in Python using the h5py library. Jupyter notebooks will also be made available to explore the files.

File structure:

Information on the model used for the fitting process are stored in /analyses/MCResult1/model

The resulting side distribution histograms can be found within the files at /analyses/MCResult1/histograms

File storage:

To maintain compatability with scripts uploaded to the DACHS community, data from this upload should be stored locally in the following file path: 

DACHS/MOFs/AutoMOFs_4/Analysis/X-ray_Scattering/MOUSE/McSAS
DOI: 10.26023/f4pq-crsh-te08
title: DC3: CSU Pawnee Radar Data. Version 1.0

description: This dataset contains CSU Pawnee Radar Data from Colorado State University taken as part of the Deep Convective Clouds and Chemistry (DC3). The data are in Dorade sweep file format and are available as TAR/GNU Zip files. Additional time periods can be made available by making requests to the data provider.
DOI: 10.18150/py3kli
title: Oxidative Phenotyping and Histochemical Mapping in Salicornia europaea

description: This dataset accompanies the study “Decoding Salinity Tolerance in Salicornia europaea L.: Image-Based Oxidative Phenotyping and Histochemical Mapping of Pectin and Lignin.” The purpose of the dataset is to provide comprehensive image-based and quantitative measurements describing oxidative stress and structural defence responses in four inland populations of Salicornia europaea exposed to controlled salinity gradients. The dataset contains colourimetric and computer vision system (CVS)-derived data from shoot and root tissues subjected to 0, 200, 400, and 1000 mM NaCl. Oxidative stress responses were assessed through lipid peroxidation (MDA accumulation, visualized with Schiff’s reagent) and hydrogen peroxide (H₂O₂) accumulation (DAB staining), quantified via image analysis in the CIELab color space. In parallel, histochemical image data document pectin and lignin distribution in shoot tissues, providing a structural context for salt-induced cell wall remodeling. The scope of the dataset is to enable reproducible, non-destructive phenotyping of salinity tolerance mechanisms. It covers multiple biological replicates from four distinct inland populations: Inowrocław and Ciechocinek (Poland), Salzgraben-Salzdahlum (Salz), and Soltauquelle (Germany). The data allow for comparative analysis of population-specific oxidative and structural responses, supporting integrative studies on stress physiology, phenotypic plasticity, and ecotype-level adaptation in halophytes. This dataset is intended for researchers interested in plant stress biology through a non-destructive approach, cell wall dynamics, image-based phenotyping, and the identification of salt-tolerant ecotypes for saline agriculture.
DOI: 10.15468/dl.h2tn9m
title: Occurrence Download

description: A dataset containing 1999 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Cupressus lusitanica lusitanica)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1999 records from 108 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053763-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6wg32y
title: Occurrence Download

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

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053764-250920141307145/datasets/export for details.
DOI: 10.15468/dl.7zrmu9
title: Occurrence Download

description: A dataset containing 496 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Trifolium incarnatum",
 "Country is Portugal",
 "HasCoordinate is true"
 ]
}

 The dataset includes 496 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053766-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16949470
title: Data: Micromechanical and biodegradation properties of a rapidly solidified Mg-1.3Zn alloy with gradient microstructure

description: This dataset contains ZIP archives corresponding to each figure in the article. Each archive includes data files and their associated metadata files. Metadata files are in XML format with .xml file extension and have the same filename as their corresponding data files.The metadata includes Dublin Core metadata as well as detailed measurement information, including instrument type and measurement parameters.
DOI: 10.5281/zenodo.16949471
title: Data: Micromechanical and biodegradation properties of a rapidly solidified Mg-1.3Zn alloy with gradient microstructure

description: This dataset contains ZIP archives corresponding to each figure in the article. Each archive includes data files and their associated metadata files. Metadata files are in XML format with .xml file extension and have the same filename as their corresponding data files.The metadata includes Dublin Core metadata as well as detailed measurement information, including instrument type and measurement parameters.
DOI: 10.15468/dl.22bdtn
title: Occurrence Download

description: A dataset containing 10255 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Trifolium incarnatum",
 "Country is Netherlands",
 "HasCoordinate is true"
 ]
}

 The dataset includes 10255 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053765-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.m7zakr
title: Occurrence Download

description: A dataset containing 14 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Brazil",
 "Geometry POLYGON((-145.38924 -28.52691,17.38924 -28.52691,17.38924 36.52691,-145.38924 36.52691,-145.38924 -28.52691))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Campylocentrum pachyrrhizum"
 ]
}

 The dataset includes 14 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053768-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.26023/dbn3-0cbv-pn0t
title: DC3: NOAA CMDL Huntsville Alabama Ozonesonde Data. Version 1.0

description: This dataset contains Ozonesonde Vertical Profile Data collected by the NOAA Climate Monitoring and Diagnostics Laboratory (CMDL) in Huntsville, Alabama from 5 May to 30 June 2012, the time period of interest for the Deep Convective Clouds and Chemistry Project (DC3) 2012 project.
DOI: 10.15468/dl.7er24v
title: Occurrence Download

description: A dataset containing 13419 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Cupressus sempervirens)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 13419 records from 392 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053769-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d5r5gn
title: Occurrence Download

description: A dataset containing 19 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Trifolium incarnatum",
 "Country is Romania",
 "HasCoordinate is true"
 ]
}

 The dataset includes 19 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053770-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sgx9j8
title: Occurrence Download

description: A dataset containing 27 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Trifolium incarnatum",
 "Country is Russian Federation",
 "HasCoordinate is true"
 ]
}

 The dataset includes 27 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053771-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17278649
title: DACHS/MOFs/AutoMOFs_5/Analysis/X-ray_Scattering/MOUSE/McSAS

description: DACHS:

The DACHS (Database for Automation, Characterization and Holistic Synthesis) project aims to create completely traceable experimental data, covering syntheses, measurements, analyses, and interpretations.  DACHS_MOFs focuses on the synthesis and characterisation of metal-organic frameworks, across multiple, automation-assisted experimental series (AutoMOFs), with the overall goal of producing reproducible MOF samples through tracking of the synthesis parameters. 

DACHS_MOFs is simultaneously used to test the DACHS principles. 

This upload contain analysis of SAXS data from AutoMOFs_5 using McSAS3 (bamresearch.github.io/McSAS3/)

AutoMOFs_5

What: 57 samples (H001 - H011, L001 - L007, M001 - M017, T000 - T021)

Why: Initial systems testing, consistency/repeatability 

Technique: SAXS (Small-Angle X-ray Scattering)

Analysis: McSAS3 (Monte Carlo-based size distribution extraction)

File Naming

Each file is named according the associated measured sample.

How to view the files:

To open files, any HDF5 compatable viewer should work (e.g. DAWN, HDF view, H5Web etc).  It is also possible to view files in Python using the h5py library. Jupyter notebooks will also be made available to explore the files.

File structure:

Information on the model used for the fitting process are stored in /analyses/MCResult1/model

The resulting side distribution histograms can be found within the files at /analyses/MCResult1/histograms

File storage:

To maintain compatability with scripts uploaded to the DACHS community, data from this upload should be stored locally in the following file path: 

DACHS/MOFs/AutoMOFs_5/Analysis/X-ray_Scattering/MOUSE/McSAS
DOI: 10.5281/zenodo.17278648
title: DACHS/MOFs/AutoMOFs_5/Analysis/X-ray_Scattering/MOUSE/McSAS

description: DACHS:

The DACHS (Database for Automation, Characterization and Holistic Synthesis) project aims to create completely traceable experimental data, covering syntheses, measurements, analyses, and interpretations.  DACHS_MOFs focuses on the synthesis and characterisation of metal-organic frameworks, across multiple, automation-assisted experimental series (AutoMOFs), with the overall goal of producing reproducible MOF samples through tracking of the synthesis parameters. 

DACHS_MOFs is simultaneously used to test the DACHS principles. 

This upload contain analysis of SAXS data from AutoMOFs_5 using McSAS3 (bamresearch.github.io/McSAS3/)

AutoMOFs_5

What: 57 samples (H001 - H011, L001 - L007, M001 - M017, T000 - T021)

Why: Initial systems testing, consistency/repeatability 

Technique: SAXS (Small-Angle X-ray Scattering)

Analysis: McSAS3 (Monte Carlo-based size distribution extraction)

File Naming

Each file is named according the associated measured sample.

How to view the files:

To open files, any HDF5 compatable viewer should work (e.g. DAWN, HDF view, H5Web etc).  It is also possible to view files in Python using the h5py library. Jupyter notebooks will also be made available to explore the files.

File structure:

Information on the model used for the fitting process are stored in /analyses/MCResult1/model

The resulting side distribution histograms can be found within the files at /analyses/MCResult1/histograms

File storage:

To maintain compatability with scripts uploaded to the DACHS community, data from this upload should be stored locally in the following file path: 

DACHS/MOFs/AutoMOFs_5/Analysis/X-ray_Scattering/MOUSE/McSAS
DOI: 10.15468/dl.ppqezv
title: Occurrence Download

description: A dataset containing 127 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Trifolium incarnatum",
 "Country is Slovenia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 127 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053772-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s63x7z
title: Occurrence Download

description: A dataset containing 194 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((38.4907 44.41809,40.9294 41.71965,42.17039 41.28674,43.05063 41.48876,44.49365 39.61284,46.42729 38.47286,47.10551 39.68499,49.09687 42.21027,46.83133 44.6634,41.89622 46.0487,38.4907 44.41809))",
 "TaxonKey is Ursus arctos"
 ]
}

 The dataset includes 194 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053773-250920141307145/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.30285598
title: Supplementary Material for: Case Report: Internal Cerebral Vein Thrombus Mimicking Thalamic Neoplasm in a Child with Down Syndrome

description: A two-year-old boy with Trisomy 21 presented with 5 days of altered mentation and fussiness, nausea, vomiting and seizures. CT head demonstrated a right thalamic edematous lesion. MRI showed a lesion with imaging features suggestive of a thalamic neoplasm that was ultimately found to be an infarct secondary to right internal cerebral vein thrombus. The patient was treated with heparin and returned to his clinical baseline.
DOI: 10.6084/m9.figshare.30285598.v1
title: Supplementary Material for: Case Report: Internal Cerebral Vein Thrombus Mimicking Thalamic Neoplasm in a Child with Down Syndrome

description: A two-year-old boy with Trisomy 21 presented with 5 days of altered mentation and fussiness, nausea, vomiting and seizures. CT head demonstrated a right thalamic edematous lesion. MRI showed a lesion with imaging features suggestive of a thalamic neoplasm that was ultimately found to be an infarct secondary to right internal cerebral vein thrombus. The patient was treated with heparin and returned to his clinical baseline.
DOI: 10.6084/m9.figshare.30285601
title: Supplementary Material for: What people with tinnitus want. A survey of desired tinnitus digital therapy features.

description: Background: Tinnitus is the perception of sound when no sound is present. Due to its heterogenous nature, tinnitus can impact people differently. Tinnitus disorder occurs when the perception of tinnitus affects quality of life. Personalized digital mHealth therapy approaches to tinnitus treatment have been proposed to address the heterogeneity of tinnitus. To build self-efficacy in tinnitus management there should be alignment between therapeutic objectives and the needs of end users. This survey was undertaken to learn the desirable features a digital therapy should have from the perspective of people with tinnitus. Methods: A cross-sectional online survey of 986 people on a tinnitus research list was undertaken asking questions about their experience of tinnitus and desirable features in a digital tinnitus therapy. Results: The highest rated problems with tinnitus where “loss of peace and quiet” and “sound intrusiveness” (Median (Mdn) 4/5). The most common problems that participants wanted help with were learning about treatments and management, hearing, tinnitus elimination, sleep and reduction in tinnitus. Participants rated sound-based brain-training games (training to focus away from tinnitus) as the top feature they wanted in digital therapy (Mdn 5/5, extremely important). Mann Whitney-U tests identified differences in problems and solutions when variables were grouped according to gender (female/male), self-reported hearing loss (yes/no), country of residence (New Zealand (NZ), non-NZ) and app use (yes/no). Females and males rated tinnitus problems differently, and females tended to rate solutions as more valuable than males. Conclusions: A survey of many people with tinnitus identified common problems and preferred solutions. Although a high percentage of responders wanted tinnitus eliminated, a large number recognized the desirability of management through sound-based and psychological approaches. This information can assist clinicians and researchers developing therapies.
DOI: 10.6084/m9.figshare.30285601.v1
title: Supplementary Material for: What people with tinnitus want. A survey of desired tinnitus digital therapy features.

description: Background: Tinnitus is the perception of sound when no sound is present. Due to its heterogenous nature, tinnitus can impact people differently. Tinnitus disorder occurs when the perception of tinnitus affects quality of life. Personalized digital mHealth therapy approaches to tinnitus treatment have been proposed to address the heterogeneity of tinnitus. To build self-efficacy in tinnitus management there should be alignment between therapeutic objectives and the needs of end users. This survey was undertaken to learn the desirable features a digital therapy should have from the perspective of people with tinnitus. Methods: A cross-sectional online survey of 986 people on a tinnitus research list was undertaken asking questions about their experience of tinnitus and desirable features in a digital tinnitus therapy. Results: The highest rated problems with tinnitus where “loss of peace and quiet” and “sound intrusiveness” (Median (Mdn) 4/5). The most common problems that participants wanted help with were learning about treatments and management, hearing, tinnitus elimination, sleep and reduction in tinnitus. Participants rated sound-based brain-training games (training to focus away from tinnitus) as the top feature they wanted in digital therapy (Mdn 5/5, extremely important). Mann Whitney-U tests identified differences in problems and solutions when variables were grouped according to gender (female/male), self-reported hearing loss (yes/no), country of residence (New Zealand (NZ), non-NZ) and app use (yes/no). Females and males rated tinnitus problems differently, and females tended to rate solutions as more valuable than males. Conclusions: A survey of many people with tinnitus identified common problems and preferred solutions. Although a high percentage of responders wanted tinnitus eliminated, a large number recognized the desirability of management through sound-based and psychological approaches. This information can assist clinicians and researchers developing therapies.
DOI: 10.5281/zenodo.17278150
title: Replication package for N–Q–S Operational Invariants: Mixing, Order Effects, and Gauge Geometry

description: CSV tables and Python scripts to reproduce all figures. Includes README with command-line recipes (classic/unified/U(3)) and environment notes.
DOI: 10.5281/zenodo.17278149
title: Replication package for N–Q–S Operational Invariants: Mixing, Order Effects, and Gauge Geometry

description: CSV tables and Python scripts to reproduce all figures. Includes README with command-line recipes (classic/unified/U(3)) and environment notes.
DOI: 10.15468/dl.4f47q5
title: Occurrence Download

description: A dataset containing 548 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Cupressus torulosa)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 548 records from 57 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053774-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8xa4us
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Trifolium incarnatum",
 "Country is South Africa",
 "HasCoordinate is true"
 ]
}

 The dataset includes 9 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053775-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.26023/2jxs-4v08-2r0y
title: DC3: NOAA CMDL Boulder Colorado Ozonesonde Data. Version 1.0

description: This dataset contains Ozonesonde Vertical Profile Data collected by the NOAA Climate Monitoring and Diagnostics Laboratory (CMDL) in Boulder, Colorado from 10 May to 29 June 2012, the time period of interest for the Deep Convective Clouds and Chemistry Project (DC3) 2012 project.