cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3886/icpsr39477.v1
title: Developing Patient-Centered Outcomes for Dementia: Goal Setting and Attainment [Methods Study], Los Angeles, California, 2013-2018
title: Version 1

description: Dementia is a health problem that can cause memory loss, trouble doing daily tasks, and behavioral problems. Sometimes patients with dementia and their caregivers have goals for patients that their usual medical care doesn't include. For example, caregivers may want to maintain patients' social activities in the community. They may also want patients to continue to live at home.
The research team wanted to test a process called Goal Attainment Scaling, or GAS, to see if patients and their caregivers could identify, set, and meet goals that were important to them. The team also wanted to see if GAS was valuable to patients and their caregivers.
description: To test the feasibility and value of a method for care-goal setting and goal attainment for patients with dementia and their caregivers. The study aims were the following:

develop a standard set of goals for patients with dementia and their caregivers; 
develop a methodology to revise goals when the clinical or social situation changes; 
integrate goal setting and attainment into clinical care
description: The researchers evaluated a method for care-goal setting and attainment called Goal Attainment Scaling (GAS) for patients with dementia and their caregivers to determine whether clinicians could integrate GAS into clinical care and if doing so helped patients. In GAS, patients and caregivers consider care goals across a variety of dimensions when planning for care, such as reducing caregiver burden and improving patients' social functioning.
In the first part of the study, the researchers held focus groups with 7 patients and 36 caregivers to identify goals for persons with dementia and their caregivers. The researchers reviewed focus group transcripts and created a list of goals, such as patient participation in activities outside the home, preventing falls, or reducing the number of healthcare visits.
In the second part of the study, a pilot test of the method, the researchers evaluated whether patients and caregivers could use this list to select care priorities and set goals for themselves. The researchers asked 6 patients and 26 caregivers to choose the three goals they considered most important for the next six months.
In the third and main part of the study, the researchers implemented GAS in a clinical setting. Patient and caregiver dyads worked with nurse practitioner dementia care managers to select goals that were most important to them. The dementia care managers then helped incorporate these goals into patient care. The researchers interviewed patients and caregivers 6 months and 12 months after setting goals to determine progress in achieving their goals.
description: Datasets: 
DS1: Developing Patient-Centered Outcomes for Dementia: Goal Setting and Attainment [Methods Study], Los Angeles, California, 2013-2018
description: Patients with dementia and their caregivers based in Los Angeles, California.
DOI: 10.3886/icpsr39477
title: Developing Patient-Centered Outcomes for Dementia: Goal Setting and Attainment [Methods Study], Los Angeles, California, 2013-2018
title: Archival Version

description: Dementia is a health problem that can cause memory loss, trouble doing daily tasks, and behavioral problems. Sometimes patients with dementia and their caregivers have goals for patients that their usual medical care doesn't include. For example, caregivers may want to maintain patients' social activities in the community. They may also want patients to continue to live at home.
The research team wanted to test a process called Goal Attainment Scaling, or GAS, to see if patients and their caregivers could identify, set, and meet goals that were important to them. The team also wanted to see if GAS was valuable to patients and their caregivers.
description: To test the feasibility and value of a method for care-goal setting and goal attainment for patients with dementia and their caregivers. The study aims were the following:

develop a standard set of goals for patients with dementia and their caregivers; 
develop a methodology to revise goals when the clinical or social situation changes; 
integrate goal setting and attainment into clinical care
description: The researchers evaluated a method for care-goal setting and attainment called Goal Attainment Scaling (GAS) for patients with dementia and their caregivers to determine whether clinicians could integrate GAS into clinical care and if doing so helped patients. In GAS, patients and caregivers consider care goals across a variety of dimensions when planning for care, such as reducing caregiver burden and improving patients' social functioning.
In the first part of the study, the researchers held focus groups with 7 patients and 36 caregivers to identify goals for persons with dementia and their caregivers. The researchers reviewed focus group transcripts and created a list of goals, such as patient participation in activities outside the home, preventing falls, or reducing the number of healthcare visits.
In the second part of the study, a pilot test of the method, the researchers evaluated whether patients and caregivers could use this list to select care priorities and set goals for themselves. The researchers asked 6 patients and 26 caregivers to choose the three goals they considered most important for the next six months.
In the third and main part of the study, the researchers implemented GAS in a clinical setting. Patient and caregiver dyads worked with nurse practitioner dementia care managers to select goals that were most important to them. The dementia care managers then helped incorporate these goals into patient care. The researchers interviewed patients and caregivers 6 months and 12 months after setting goals to determine progress in achieving their goals.
description: Datasets: 
DS1: Developing Patient-Centered Outcomes for Dementia: Goal Setting and Attainment [Methods Study], Los Angeles, California, 2013-2018
description: Patients with dementia and their caregivers based in Los Angeles, California.
DOI: 10.15468/dl.y8k63h
title: Occurrence Download

description: A dataset listing the 32 species recorded in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-90.26729 14.22214,-90.28164 14.1897,-90.26958 14.15289,-90.21405 14.13563,-90.18368 14.15081,-90.17724 14.17785,-90.19679 14.20114,-90.21738 14.22506,-90.26729 14.22214))",
 "OccurrenceStatus is Present"
 ]
}

 The dataset's 32 records were derived from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0063381-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5683/sp3/tryohl
title: Data for: Classification of Retinal Diseases in Pseudo-color OCT Using a Vision Transformer with DCT Compression

description: Classification of Retinal Diseases in Pseudo-color OCT Using a Vision Transformer with DCT Compression
description: updated labels
DOI: 10.5066/p13kugyi
title: Workflow and data supporting ensemble-based history matching and uncertainty quantification for selected watersheds from the National Hydrologic Model

description: History matching of large hydrologic models is challenging due to data sparsity and non-unique process combinations (and associated parameters) that can produce similar model predictions. We developed an ensemble-based history matching and uncertainty quantification approach using an iterative ensemble smoother (iES) method for three cutouts of the National Hydrologic Model (NHM) and qualitatively compared the results and performance to the stepwise history matching approach. In the latter approach, subsets of parameters and observations were sequentially calibrated to a diverse range of observations to mitigate non-uniqueness and local minima. In iES, localization simulates the same causal connections between parameters and observations without the need (and computational cost) of sequential history matching steps. iES uses a weighted sum-of-squared errors objective function which allows differential weighting of multiple data sources. Formal adoption of range observation also pushes results to within ranges of observation values rather than discrete values. Overall, the ensemble approach performs similarly to the stepwise approach. Both approaches performed poorly for the cutout representing a snowmelt-dominated watershed, indicating a structural issue in the process representation of the model. The main advantage of iES is quantification of uncertainty in both the history matching and the predictions of interest.

Plain language summary: Parameter estimation, or history matching, for large hydrologic models to best align with real-world observations is difficult because there are often limited data and many ways to adjust the parameters that can produce similar results. This study tests a statistical approach, called the iterative ensemble smoother (iES), in three National Hydrologic Model cutouts. The iES method is compared with a traditional step-by-step parameterization approach. Both methods produced similar results overall, though both struggled in a watershed where snowmelt plays a major role, suggesting the model needs improvement there. The main advantage of the iES approach is that it provides an estimate of uncertainty, which helps scientists better understand how confident they can be in both the history matching and its predictions.
DOI: 10.17909/g0yy-bd30
title: Updating DOI via the form

description: Creating test DOI in DOI Form
DOI: 10.5281/zenodo.17950888
title: EuXFEL #3063 experiment on iron and iron alloys under planetary cores conditions

description: Community proposal to study iron and iron alloy phases at high pressure and temperature conditions at the European XFEL. Experiment EuXFEL #3063. September 2022.

The archive holds



The list of samples

The list of runs

Data from sample screening at PETRA III

XFEL beam intensity information for all runs

Calibration information for X-ray diffraction data at the EuXFEL

Raw data from the corresponding publications.


Information on the experiment, data analysis procedure, and corresponding metrology are published in Ginestet et al, 2006 (see below).

If used, please cite this archive as well as the corresponding publication:



Ginestet et al, Metrology for femtosecond pulsed x-ray heating in diamond anvil cell experiments at the European XFEL: Revisiting the iron phase diagram up to 150 GPa, J. Appl. Phys. 139, 000000 (2026); doi: 10.1063/5.0303953
DOI: 10.5281/zenodo.17950889
title: EuXFEL #3063 experiment on iron and iron alloys under planetary cores conditions

description: Community proposal to study iron and iron alloy phases at high pressure and temperature conditions at the European XFEL. Experiment EuXFEL #3063. September 2022.

The archive holds



The list of samples

The list of runs

Data from sample screening at PETRA III

XFEL beam intensity information for all runs

Calibration information for X-ray diffraction data at the EuXFEL

Raw data from the corresponding publications.


Information on the experiment, data analysis procedure, and corresponding metrology are published in Ginestet et al, 2006 (see below).

If used, please cite this archive as well as the corresponding publication:



Ginestet et al, Metrology for femtosecond pulsed x-ray heating in diamond anvil cell experiments at the European XFEL: Revisiting the iron phase diagram up to 150 GPa, J. Appl. Phys. 139, 000000 (2026); doi: 10.1063/5.0303953
DOI: 10.5281/zenodo.16248133
title: Raw Qualitative and Quantitative Data for Veins in the Sutton Island and Blunts Point members (Revised)
DOI: 10.5281/zenodo.18024590
title: Raw Qualitative and Quantitative Data for Veins in the Sutton Island and Blunts Point members (Revised)
DOI: 10.25739/vddx-w132
title: Public Data Release of the Event Horizon Telescope 2021 Observations

description: This data delivery contains what is defined by the Event Horizon Telescope Collaboration (EHTC) as L1 data for the Very Long Baseline Interferometry (VLBI) 1-mm 2021 observing campaign by the Event Horizon Telescope (EHT). The 2021 campaign was the third where the Atacama Large Millimeter Array (ALMA) participated as a phased array, a capability that was developed by the ALMA Phasing Project (APP; [Doeleman 2010](https://ui.adsabs.harvard.edu/abs/2010evn..confE..53D); [Fish et al. 2013](https://ui.adsabs.harvard.edu/abs/2013arXiv1309.3519F); [Matthews et al. 2018](https://ui.adsabs.harvard.edu/abs/2018PASP..130a5002M)). New telescopes joining the EHT in this campaign were the IRAM NOEMA Observatory and the Kitt Peak 12-meter Telescope. The EHT L1 data encompasses the VLBI correlator output, converted into circular polarization basis, as well as the calibration information from the participating telescopes. For ALMA this includes their quality assurance (QA2) output that is used for the polarization basis conversion. The processing carried out on this L1 data delivery is largely the same as for the EHT 2018 April observations as described in Event Horizon Telescope Collaboration et al. (2024). Aspects that are the same as the EHT 2017 April campaign are described in more detail in Event Horizon Telescope Collaboration et al. (2019). For scientific results derived from the EHT 2021 April Observation Campaign see https://eventhorizontelescope.org/publications. Additional data products derived from this L1 data can be found at https://eventhorizontelescope.org/for-astronomers/data.

This data delivery includes data from the following facilities: ALMA, the Atacama Pathfinder Experiment (APEX), the Submillimeter Telescope (SMT), the James Clerk Maxwell Telescope (JCMT), the IRAM 30m telescope, the phased Submillimeter Array (SMA), the South Pole Telescope (SPT), the Greenland Telescope (GLT), the IRAM NOEMA Observatory and the Kitt Peak 12-meter telescope. More information about the facilities used for these observations can be found in [Event Horizon Telescope Collaboration et al. (2024)](https://ui.adsabs.harvard.edu/abs/2024A&A...681A..79E).
DOI: 10.26193/wmqamh
title: Towards Net Zero survey
title: Attitudes to home upgrades (especially solar) that reduce greenhouse gas emissions and energy bills
title: High-impact decisions that reduce household emissions

description: Home energy upgrades are a high-impact way for people to reduce their greenhouse gas emissions and energy bills, and increase the comfort of their homes. Despite their benefits to households, the decisions around making home energy upgrades are not easy. They can be expensive, complex, inconvenient and time-consuming. &lt;br&gt;

Understanding the capabilities, opportunities and motivations driving home energy upgrade decisions is the first step in identifying ways to increase uptake. In 2023, BETA ran an online survey with a sample of 4,891 Australians, which provides valuable insights to inform this discussion.
description: SPSS, 18
description: Stata, 17.0
DOI: 10.5281/zenodo.18023606
title: Method Release [Embargo]
DOI: 10.5281/zenodo.18023607
title: Method Release [Embargo]
DOI: 10.17909/esma-0y72
title: Updating test DOI in Basket
DOI: 10.15468/dl.6w2bg2
title: Occurrence Download

description: A dataset containing 14696 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Material sample, Specimen, Occurrence evidence)",
 "Geometry POLYGON((-122.921 -57.032,-122.846 -57.032,-122.846 57.1,-122.921 57.1,-122.921 -57.032))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Lepidoptera"
 ]
}

 The dataset includes 14696 records from 55 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0063385-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mqrzzq
title: Occurrence Download

description: A dataset containing 538693 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Carpinus betulus)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Geometry POLYGON ((-20 20, 45 20, 45 75, -20 75, -20 20))"
 ]
}

 The dataset includes 538693 records from 2444 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0063383-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zckscn
title: Occurrence Download

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Chalcides thierryi Tornier, 1901"
 ]
}

 The dataset includes 13 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0275212-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.v4wrep
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lyciasalamandra arikani Göçmen & Akman, 2012",
 "HasCoordinate is true",
 "Year is greater than or equal to 2011",
 "Year is less than or equal to 2024"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016063-240425142415019/datasets/export for details.
DOI: 10.15468/dl.uyhjeg
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Callionymus fasciatus Valenciennes, 1837"
 ]
}

 The dataset includes 7 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035850-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ychg8z
title: Occurrence Download

description: A dataset containing 1130 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Mexico",
 "OccurrenceStatus is Present",
 "TaxonKey is Abies religiosa (Kunth) Schltdl. & Cham."
 ]
}

 The dataset includes 1130 records from 72 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0275202-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f2zv4b
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Sphaerodactylus dimorphicus Fong & Diaz, 2004"
 ]
}

 The dataset includes 8 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0275205-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jnttrm
title: Occurrence Download

description: A dataset containing 79 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Clivia nobilis Lindl.",
 "HasCoordinate is true"
 ]
}

 The dataset includes 79 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037095-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.329qfz
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Pseudoechthistatus chiangshunani, Pseudoechthistatus hei, Pseudoechthistatus chiangshunani, Pseudoechthistatus pufujiae, Pseudoechthistatus sinicus, Pseudoechthistatus chiangshunani, Pseudoechthistatus glabripennis, Pseudoechthistatus holzschuhi, Pseudoechthistatus hei, Pseudoechthistatus birmanicus, Pseudoechthistatus birmanicus Breuning, 1942, Pseudoechthistatus granulatus Breuning 1942, Pseudoechthistatus acutipennis Chiang 1981, Pseudoechthistatus obliquefasciatus Pic, 1917, Pseudoechthistatus birmanicus Breuning, 1942, Pseudoechthistatus granulatus Breuning, 1942, Pseudoechthistatus acutipennis Chiang, 1981, Pseudoechthistatus granulatus Breuning, 1942, Pseudoechthistatus acutipennis Chiang 1981, Pseudoechthistatus obliquefasciatus Pic 1917, Pseudoechthistatus rugosus Huang, 2020, Pseudoechthistatus acutipennis Chiang, 1981, Pseudoechthistatus obliquefasciatus Pic, 1917, Pseudoechthistatus birmanicus Breuning, 1942, Pseudoechthistatus obliquefasciatus Pic, 1917, Pseudoechthistatus granulatus Breuning, 1942, Pseudoechthistatus birmanicus Breuning 1942, Pseudoechthistatus acutipennis Chiang, 1981, Pseudoechthistatus sinicus Bi & Lin, 2016, Pseudoechthistatus pufujiae Bi & Lin, 2016, Pseudoechthistatus pufujiae Bi & Lin, 2016, Pseudoechthistatus pufujiae Bi & Lin, 2016, Pseudoechthistatus holzschuhi Bi & Lin, 2016, Pseudoechthistatus glabripennis Bi & Lin, 2016, Pseudoechthistatus glabripennis Bi & Lin, 2016, Pseudoechthistatus hei Xie & W.Wang, 2019, Pseudoechthistatus holzschuhi Bi & Lin, 2016, Pseudoechthistatus glabripennis Bi & Lin, 2016, Pseudoechthistatus chiangshunani Bi & Lin, 2016, Pseudoechthistatus holzschuhi Bi & Lin, 2016, Pseudoechthistatus chiangshunani Bi & Lin, 2016, Pseudoechthistatus sinicus Bi & Lin, 2016, Pseudoechthistatus sinicus Bi & Lin, 2016, Pseudoechthistatus chiangshunani Bi & Lin, 2016, Pseudoechthistatus holzschuhi Bi & Lin, 2016, Pseudoechthistatus glabripennis Bi & Lin, 2016, Pseudoechthistatus chiangshunani Bi & Lin, 2016, Pseudoechthistatus sinicus Bi & Lin, 2016, Pseudoechthistatus pufujiae Bi & Lin, 2016, Pseudoechthistatus rugosus Huang, Yan & Li, 2020, Pseudoechthistatus hei Xie & W. Wang, 2019, Pseudoechthistatus hei Wang, Xie, and Wang 2019, Pseudoechthistatus rugosus Huang, Yan, and Li 2020, Pseudoechthistatus hei Xie & W. Wang in Wang, Xie & Wang, 2019)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "Geometry POLYGON((73 3,135 3,135 54,73 54,73 3))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046825-231002084531237/datasets/export for details.
DOI: 10.15468/dl.8jqn7j
title: Occurrence Download

description: A dataset containing 73 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Puma yagouaroundi tolteca (Thomas, 1898)"
 ]
}

 The dataset includes 73 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0426976-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.k8vsez
title: Occurrence Download

description: A dataset containing 301 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Photinia hirsuta Hand.-Mazz."
 ]
}

 The dataset includes 301 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018411-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.r9zqaq
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cyrtodactylus gialaiensis Luu, Dung, Nguyen, Le & Ziegler, 2017"
 ]
}

 The dataset includes 6 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0275224-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.