cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.18739/a2rx93g3p
title: Evolution of snow and firn on the Juneau Icefield, Alaska (2024)

description: Alpine glaciers of Alaska are a significant contributor to global sea-level rise. Most Alaskan glaciers lose mass through surface melting due to increasing atmospheric temperatures, which may change regional glacier hydrology, including firn properties and the firn's meltwater retention and runoff. We use field observations and firn modeling to investigate seasonal to decadal changes in the thermal and physical properties of firn on the Juneau Icefield, Alaska, and the impacts on the firn column’s capacity for refreezing meltwater. Our results reveal local and transient retention of liquid water in the snow and firn during the 2024 melt season. We also find that the long-term firn column’s capacity to refreeze liquid water (rain/melt) is decreasing due to decreasing firn cold content.
 The first dataset contains measurements collected during June and July of the 2024 field season at four sites on the Juneau Icefield (MLD, MG3, NWB1, and TKG4). These include density, permittivity, liquid-water content, and ablation rates. The documents "Juneau_Icefield_Firn_Core_Data_2024.csv" and "Juneau_Icefield_Ablation_Data_2024.csv" contain these data for all sites. The second dataset contains modeled results from using the Community Firn Model and the climate forcing used to run the model, including firn density, temperature, thickness, refreeze, and runoff, atmospheric temperature, snow accumulation, melt, and rainfall. The documents "mg3_model_results.csv," "mld_model_results.csv" and "nwb1_model_results" contain these data for the three sites in the accumulation zone (MLD, MG3, NWB1).
DOI: 10.3886/icpsr39613
title: Bayesian Hierarchical Models for the Design and Analysis of Studies to Individualize Healthcare [Methods Study], United States, 2015-2020
title: Archival Version

description: When choosing a treatment, doctors often look at research results that show how well the treatment worked in large groups of people. But many factors can affect how well a treatment works for an individual patient. These factors may include the patient's sex, age, other health problems, or how they responded to treatments in the past. Some patient data sources, such as electronic health records, have this information. But existing statistical methods may not use these data well. For example, existing methods may not be able to take advantage of data that include measurements of a patient's health from more than one point in time.
For this project, the research team developed new methods to analyze data that includes measurements of a patient's health from different points in time. To develop the new methods, the team used a Bayesian approach. Bayesian approaches include findings from previous studies in the analysis, which can make results more accurate.
 To access the software and methods, please visit the Neuroconductor website and neuroc_travis GitHub.
description: To use a Bayesian analytic approach to develop and implement new methods and software for predicting individual patient health status, changes in health status over time, and response to treatment.
description: The research team developed a Bayesian hierarchical statistical model. The model had four components:

Estimation of the effects of current treatment and patient characteristics such as age and clinical history on health status
Use of multiple clinical measures to infer health status
Analysis of the effect of health measurements at one time point on subsequent treatment decisions
Specification of a model with two levels in which factors affecting the estimation of treatment effects could vary over time for the same patient and could also vary across many patients with similar characteristics

The research team then developed a software package called OSLER inHealth to help other researchers implement the Bayesian hierarchical model as well as existing methods to make individual predictions on health status and treatment effects.
Finally, the research team used three case studies to test and adapt the statistical model and software to predict a patient's health status and changes in health over time. Patients, clinicians, and a health plan administrative leader helped build and refine the statistical models for each case study.
description: Datasets: 
DS1: Bayesian Hierarchical Models for the Design and Analysis of Studies to Individualize Healthcare [Methods Study], United States, 2015-2020
DOI: 10.3886/icpsr39613.v1
title: Bayesian Hierarchical Models for the Design and Analysis of Studies to Individualize Healthcare [Methods Study], United States, 2015-2020
title: Version 1

description: When choosing a treatment, doctors often look at research results that show how well the treatment worked in large groups of people. But many factors can affect how well a treatment works for an individual patient. These factors may include the patient's sex, age, other health problems, or how they responded to treatments in the past. Some patient data sources, such as electronic health records, have this information. But existing statistical methods may not use these data well. For example, existing methods may not be able to take advantage of data that include measurements of a patient's health from more than one point in time.
For this project, the research team developed new methods to analyze data that includes measurements of a patient's health from different points in time. To develop the new methods, the team used a Bayesian approach. Bayesian approaches include findings from previous studies in the analysis, which can make results more accurate.
 To access the software and methods, please visit the Neuroconductor website and neuroc_travis GitHub.
description: To use a Bayesian analytic approach to develop and implement new methods and software for predicting individual patient health status, changes in health status over time, and response to treatment.
description: The research team developed a Bayesian hierarchical statistical model. The model had four components:

Estimation of the effects of current treatment and patient characteristics such as age and clinical history on health status
Use of multiple clinical measures to infer health status
Analysis of the effect of health measurements at one time point on subsequent treatment decisions
Specification of a model with two levels in which factors affecting the estimation of treatment effects could vary over time for the same patient and could also vary across many patients with similar characteristics

The research team then developed a software package called OSLER inHealth to help other researchers implement the Bayesian hierarchical model as well as existing methods to make individual predictions on health status and treatment effects.
Finally, the research team used three case studies to test and adapt the statistical model and software to predict a patient's health status and changes in health over time. Patients, clinicians, and a health plan administrative leader helped build and refine the statistical models for each case study.
description: Datasets: 
DS1: Bayesian Hierarchical Models for the Design and Analysis of Studies to Individualize Healthcare [Methods Study], United States, 2015-2020
DOI: 10.15468/dl.vrarjc
title: Occurrence Download

description: A dataset containing 274 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Stevia caracasana"
 ]
}

 The dataset includes 274 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048182-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hpcebt
title: Occurrence Download

description: A dataset containing 25 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Stevia dictyophylla"
 ]
}

 The dataset includes 25 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048183-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/14116750
title: Berita UNPAM
DOI: 10.17026/ar/qnl3k6
title: PAN-00132006 - decorative Roman horse gear fitting group Bvar.

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00132006&lt;/p&gt;
description: Modified: 2025-06-05T17:50:01+02:00
DOI: 10.15468/dl.pabnb8
title: Occurrence Download

description: A dataset containing 579 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Stevia jorullensis"
 ]
}

 The dataset includes 579 records from 44 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048184-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fcgjx9
title: Occurrence Download

description: A dataset containing 768 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Stevia lucida"
 ]
}

 The dataset includes 768 records from 52 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048185-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17904760
title: Pausslot Situs Permainan Online Top nomor 1

description: Pausslot merupakan situs Permainan Online Terbaik di Indonesia dengan berbagai macam permainan menarik yang dapat dimainkan bersama dengan teman dan keluarga
DOI: 10.5281/zenodo.17904761
title: Pausslot Situs Permainan Online Top nomor 1

description: Pausslot merupakan situs Permainan Online Terbaik di Indonesia dengan berbagai macam permainan menarik yang dapat dimainkan bersama dengan teman dan keluarga
DOI: 10.17026/ar/ddwucd
title: PAN-00018911 - iron T-nail

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00018911&lt;/p&gt;
description: Modified: 2025-08-07T15:15:38+02:00
DOI: 10.15468/dl.mf7px7
title: Occurrence Download

description: A dataset listing the 190 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "OccurrenceStatus is Present",
 "TaxonKey is Lauraceae",
 "Year 1999-2025"
 ]
}

 The dataset's 190 records were derived from 120 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048176-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.k7w7kt
title: Occurrence Download

description: A dataset containing 318 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Stevia micrantha"
 ]
}

 The dataset includes 318 records from 37 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048186-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9y4vtq
title: Occurrence Download

description: A dataset containing 1543 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Stevia ovata"
 ]
}

 The dataset includes 1543 records from 73 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048187-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18739/a2n58cn97
title: Evolution of snow and firn on the Juneau Icefield, Alaska (2025)

description: Collectively, Alaskan glaciers contribute 25 percent (%) of the global land-ice loss to sea-level rise, and most lose mass through surface melting due to increasing atmospheric temperatures. Snow and firn properties impact the retention and runoff of snow melt in the glacier, and are therefore an important connection between the suprglacial, englacial, and subglacial hydrological systems. We use field observations to investigate changes in the thermal and physical properties of snow and firn on the Juneau Icefield, Alaska during summer of 2025.
 The first dataset contains measurements collected during June 2025 field season three sites on the Juneau Icefield: a site at the Matthes-Llewellyn Divide (MLD); at the Northwest Branch of the Taku Glacier (NWB1); and at a firn-covered site in the current ablation zone of the Taku Glacier (TKG4). These include density, permittivity, grain size, and temperature. The document "Juneau_Icefield_Core_and_Pit_Data_2025.csv" contain these data for all sites.
 The second dataset contains data derived from a self-potential system (Clayton, W. S. (2022). Measurement of unsaturated meltwater percolation flux in seasonal snowpack using self-potential (SP). Journal of Glaciology, 68(267), 25–40. doi:10.1017/jog.2021.67), which includes a weather station and electrodes placed into the snow with the possibility of measuring melt infiltration. These data include wind speed, wind direction, air temperature, relative humidity, incoming shortwave, reflected shortwave, incoming longwave, outgoing longwave, albedo, self-potential across electrode pairs, potential difference between reference electrodes, and effective relative permittivity. The documents "SP_data_logger1_06_23_2025_download_TKG4.csv," "SP_data_logger1_06_27_2025_download_TKG4.csv" and "SP_data_logger2_06_26_2025_download_TKG4.csv" and “SP_data_logger2_06_29_2025_download_TGK4.csv” contain these data for one site in the ablation zone (TKG4) that still has snow and firn cover.
 Clayton, W.S. (2022) Measurement of unsaturated meltwater percolation flux in seasonal snowpack using self-potential. Journal of Glaciology, 68(267), pp.25-40.
DOI: 10.15468/dl.83vspm
title: Occurrence Download

description: A dataset containing 1187 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Stevia salicifolia"
 ]
}

 The dataset includes 1187 records from 56 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048188-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17026/ar/dyus6q
title: PAN-00146685 - pipkin with one handle (red-baked pottery)

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00146685&lt;/p&gt;
description: Modified: 2025-06-13T11:58:51+02:00
DOI: 10.15468/dl.92ch2j
title: Occurrence Download

description: A dataset containing 15305 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry MULTIPOLYGON(((-105.60487 40.29583,-105.59582 40.02662,-105.45274 40.02436,-105.45613 40.29243,-105.60487 40.29583)))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 15305 records from 121 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048189-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ga3rkd
title: Occurrence Download

description: A dataset containing 1477 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Stevia serrata"
 ]
}

 The dataset includes 1477 records from 67 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048190-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4e222j
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Stevia stricta"
 ]
}

 The dataset includes 4 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048191-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18739/a2959c94m
title: Evolution of snow and firn on the Juneau Icefield, Alaska (2025)

description: Collectively, Alaskan glaciers contribute 25 percent (%) of the global land-ice loss to sea-level rise, and most lose mass through surface melting due to increasing atmospheric temperatures. Snow and firn properties impact the retention and runoff of snow melt in the glacier, and are therefore an important connection between the suprglacial, englacial, and subglacial hydrological systems. We use field observations to investigate changes in the thermal and physical properties of snow and firn on the Juneau Icefield, Alaska during summer of 2025.
 The first dataset contains measurements collected during June 2025 field season three sites on the Juneau Icefield: a site at the Matthes-Llewellyn Divide (MLD); at the Northwest Branch of the Taku Glacier (NWB1); and at a firn-covered site in the current ablation zone of the Taku Glacier (TKG4). These include density, permittivity, grain size, and temperature. The document "Juneau_Icefield_Core_and_Pit_Data_2025.csv" contain these data for all sites.
 The second dataset contains data derived from a self-potential system (Clayton, W. S. (2022). Measurement of unsaturated meltwater percolation flux in seasonal snowpack using self-potential (SP). Journal of Glaciology, 68(267), 25–40. doi:10.1017/jog.2021.67), which includes a weather station and electrodes placed into the snow with the possibility of measuring melt infiltration. These data include wind speed, wind direction, air temperature, relative humidity, incoming shortwave, reflected shortwave, incoming longwave, outgoing longwave, albedo, self-potential across electrode pairs, potential difference between reference electrodes, and effective relative permittivity. The documents "SP_data_logger1_06_23_2025_download_TKG4.csv," "SP_data_logger1_06_27_2025_download_TKG4.csv" and "SP_data_logger2_06_26_2025_download_TKG4.csv" and “SP_data_logger2_06_29_2025_download_TGK4.csv” contain these data for one site in the ablation zone (TKG4) that still has snow and firn cover.
 Clayton, W.S. (2022) Measurement of unsaturated meltwater percolation flux in seasonal snowpack using self-potential. Journal of Glaciology, 68(267), pp.25-40.
DOI: 10.17026/ar/0kyxqi
title: PAN-00002845 - coin/coin-related, Septimius Severus (193-211), voor Caracalla, denarius

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00002845&lt;/p&gt;
description: Modified: 2025-09-23T10:24:50+02:00
DOI: 10.15468/dl.k6k5wk
title: Occurrence Download

description: A dataset containing 182 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Stevia suaveolens"
 ]
}

 The dataset includes 182 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048192-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/14116805
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15468/dl.bw3yae
title: Occurrence Download

description: A dataset containing 554 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Halichoeres rubrovirens"
 ]
}

 The dataset includes 554 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048193-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dx2h77
title: Pholcid spiders of the genus Pholcus Walckenaer, 1805 (Araneae, Pholcidae) from eastern Sichuan, China, with descriptions of two new species

description: This dataset contains the digitized treatments in Plazi based on the original journal article Yan, Meichen, Zhao, Yingwen, Li, Jinglin, Wang, Luyu, Yao, Zhiyuan (2025): Pholcid spiders of the genus Pholcus Walckenaer, 1805 (Araneae, Pholcidae) from eastern Sichuan, China, with descriptions of two new species. ZooKeys 1264: 37-50, DOI: 10.3897/zookeys.1264.175373AbstractThe spider genus Pholcus Walckenaer, 1805 exhibits high diversity in eastern Sichuan, China, and 19 species have been recorded in this area so far. In this study, two additional new species of Pholcus from north of the Sichuan Basin are described, Pholcus jiuzhai Yan, Li & Yao, sp. nov. (♂ ♀) from the crypticolens group and Pholcus pingwu Yan, Li & Yao, sp. nov. (♂ ♀) from the yichengicus group. In addition, an updated list of all Pholcus species from eastern Sichuan is provided.
DOI: 10.15468/dl.vywyzp
title: Occurrence Download

description: A dataset containing 348 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Stevia tomentosa"
 ]
}

 The dataset includes 348 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048194-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17026/ar/i6qhox
title: PAN-00161900 - biconical spindle whorl (handmade pottery)

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00161900&lt;/p&gt;
description: Modified: 2025-05-14T11:43:26+02:00
DOI: 10.15468/dl.j5g7cy
title: Occurrence Download

description: A dataset containing 258 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Stevia trifida"
 ]
}

 The dataset includes 258 records from 36 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048196-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.