cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.3xfqwn
title: Occurrence Download

description: A dataset containing 193306 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Human Observation, Material sample, Specimen)",
 "Geometry POLYGON((162.69226 -46.53735,154.51241 -50.24965,155.27674 -67.01043,161.08205 -70.88671,170.47018 -70.82402,167.78824 -58.51579,176.27623 -58.3903,176.16668 -46.76295,162.69226 -46.53735))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Aves"
 ]
}

 The dataset includes 193306 records from 78 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028036-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sgr89k
title: Occurrence Download

description: A dataset containing 30485 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "CoordinateUncertaintyInMeters 0.0-1000.0",
 "Geometry POLYGON((-167.77042 9.82205,-46.11163 9.82205,-46.11163 80.81008,-167.77042 80.81008,-167.77042 9.82205))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Cirsium arvense (L.) Scop."
 ]
}

 The dataset includes 30485 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028065-250426092105405/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.29046401
title: EU Parliament amendment proposals for Stop-the-Clock Directive

description: EU Parliament amendment proposals for Stop-the-Clock Directive
DOI: 10.15468/dl.dm4r2a
title: Occurrence Download

description: A dataset containing 3160 species occurrences available in GBIF matching the query:
{
 "and" : [
 "PublishingOrg is e88c96a3-5884-4e51-a580-e417ca4c9eed",
 "TaxonKey is Cetacea"
 ]
}

 The dataset includes 3160 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028066-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.phj5xa
title: Occurrence Download

description: A dataset containing 151350 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Human Observation, Material sample, Specimen)",
 "Geometry POLYGON((22.70425 -54.7529,74.21378 -59.48404,83.57839 -54.7529,83.57839 -37.97303,22.70425 -37.97303,22.70425 -54.7529))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Aves"
 ]
}

 The dataset includes 151350 records from 63 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028032-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15395100
title: Development data for Tb-149 production/separation
DOI: 10.5281/zenodo.15395101
title: Development data for Tb-149 production/separation
DOI: 10.15468/dl.apfem7
title: Occurrence Download

description: A dataset containing 5738 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Human Observation, Living Specimen, Occurrence evidence)",
 "Continent is Europe",
 "Country is Portugal",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Month is one of (February, March, April, May, June, July, August, September, October, November, December, January)",
 "OccurrenceStatus is Present",
 "TaxonKey is Acridotheres cristatellus (Linnaeus, 1758)",
 "Year 2019-2024"
 ]
}

 The dataset includes 5738 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028067-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4hc3jy
title: Occurrence Download

description: A dataset containing 510 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (China, Mongolia)",
 "TaxonKey is Bidens biternata (Lour.) Merr. & Sherff"
 ]
}

 The dataset includes 510 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028068-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/xh6pgtnjtk
title: Precipitation phase and dislocation movement

description: Precipitation phase and dislocation movement
DOI: 10.17632/xh6pgtnjtk.1
title: Precipitation phase and dislocation movement

description: Precipitation phase and dislocation movement
DOI: 10.17632/dv5bp3nbvj
title: Sediment Hg

description: The bottom conditions of the sediment sites, the sediment porosity and the specific activities of excess 234Th (234Thex) and surface-bound 228Th.
The concentrations of sediment total nitrogen (TN) and total organic carbon (TOC), and concentrations of MeHg and total Hg (THg) in the porewater (pw) and dry sediment.
DOI: 10.17632/dv5bp3nbvj.1
title: Sediment Hg

description: The bottom conditions of the sediment sites, the sediment porosity and the specific activities of excess 234Th (234Thex) and surface-bound 228Th.
The concentrations of sediment total nitrogen (TN) and total organic carbon (TOC), and concentrations of MeHg and total Hg (THg) in the porewater (pw) and dry sediment.
DOI: 10.17632/zjz2fm3kr4.1
title: Relationship between vertical dimension and anthropometric facial measurements in Universidad Nacional Pedro Henríquez Ureña patients.

description: The aim of this study was to evaluate the relationship between the occlusal vertical dimension
(OVD) and various anthropometric measurements of the face and hand in a sample of
patients treated at the Pedro Henríquez Ureña National University (UNPHU). The research is
based on the hypothesis that there is a significant correlation between these measurements
and the DVO, with the purpose of establishing auxiliary parameters that contribute to its
clinical determination, especially in oral rehabilitation contexts.
A data collection protocol was designed that included demographic information, determination
of facial biotype by clinical observation, and accurate measurements of the DVO and other
anatomical structures. Measurements were performed using high-precision digital
instruments, such as the caliper and digital optical ruler. The sample consisted of adult
patients, categorized by sex and facial biotype (mesofacial, brachyfacial and dolichofacial),
who gave informed consent.
Statistical analysis included the Kolmogorov-Smirnov test to verify the normality of the data
and Pearson's correlation coefficient to evaluate the relationships between variables. The
results evidenced a strong positive correlation between DVO and vertical dimension at rest,
as well as a moderate negative correlation with interocclusal clearance, these being the most
consistent associations. On the other hand, weak to moderate correlations were observed
between DVO and measurements such as eye-commissure distance, nose-glabella length,
and ear height. As for finger measurements, correlations were weak, with slight variations
according to the sex of the patient. No significant differences were identified in relation to the
predominant hemibody.
Likewise, it was found that patients with dolichofacial biotype tend to present a decreased
DVO compared to other biotypes, which suggests the influence of the facial pattern in the
determination of this dimension. These findings underscore the need to individualize
measurement methods, considering variables such as sex and facial morphology.
In conclusion, the results obtained support the use of certain anthropometric measurements
as complementary tools in the estimation of the DVO. However, their clinical application
should be carried out with caution, adapting them to the particular characteristics of the
patient. This study provides relevant information for the Dominican population, highlighting the
importance of continuing to develop research to validate these methods in different population
contexts.
DOI: 10.15468/dl.kgdv7v
title: Occurrence Download

description: A dataset containing 916 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "Country is Ecuador",
 "DatasetKey is one of (iNaturalist Research-grade Observations, INSDC Host Organism Sequences)",
 "Geometry POLYGON((-79.9209 -0.92125,-79.57562 -1.82168,-79.57562 -1.82168,-77.856 -2.45808,-76.60352 -1.53734,-79.9209 -0.92125))",
 "TaxonKey is Fungi",
 "Year 2000-2025"
 ]
}

 The dataset includes 916 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028069-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.44u29t
title: Occurrence Download

description: A dataset containing 1697075 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Melozone crissalis (Vigors, 1839)",
 "Year is greater than or equal to 1950",
 {
 "or" : [
 "GadmGid is USA",
 "GadmGid is CAN",
 "GadmGid is MEX"
 ]
 }
 ]
}

 The dataset includes 1697075 records from 49 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028059-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/534w4xk9zg.1
title: Output divergence in fixed exchange rate regimes: Replication package and online appendix

description: Replication package and online appendix for the paper “Output Divergence in Fixed Exchange Rate Regimes” by Yao Chen and Felix Ward. The replication package includes a readme-file, Stata codes, data, and output files required to reproduce all figures presented in the main text and Online Appendix.

The paper presents empirical evidence for the violation of nominal exchange regime neutrality. We find that fixing the exchange rate is associated with real output losses among countries with a high pre-peg inflation rate. In particular, ten years after fixing the exchange rate a country with a +1 percentage point (ppt) pre-peg wage inflation differential has a 2% lower real GDP per capita level and a 1% lower TFP level. The tradable sector is more affected than the non-tradable sector, which accords with the former’s greater exposure to international arbitrage.
DOI: 10.17632/3m5jndmt4n.1
title: Tuolumne Intrusive Complex Ti isotope dataset

description: The Supplementary Material File contains an excel document with the following tabs: 1) mineral EPMA data; 2) whole rock XRF and ICP-MS geochemistry; 3) ICP-MS mineral chemistry for Ti isotope aliquots; 4) Ti isotope data for whole rock and mineral aliquots; 5) literature whole rock Ti isotope data compilation.
DOI: 10.17632/8cv6y7sb9d.1
title: Supplemental File S2 - Data set used for the meta-analysis and meta-regression to compare the production performance, feed efficiency, and milk N efficiency in Jersey versus Holstein cows

description: Final data set used for the statistical analysis of the meta analysis and meta-regression to compare the production performance, feed efficiency, and milk N efficiency in Jersey versus Holstein cows
DOI: 10.15468/dl.d8kazk
title: Occurrence Download

description: A dataset containing 705 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (China, Mongolia)",
 "TaxonKey is Bidens bipinnata L."
 ]
}

 The dataset includes 705 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028071-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/n5ywfj4mhj.1
title: Data for: Generation of mask from segmented whole plant image dataset of Indian Mustard (Brassica juncea) genotypes for computer vision aided phenotypic trait extraction

description: The image acquisition was conducted under natural illuminating conditions (9AM to 5PM) at Nanaji Deshmukh Plant Phenomics Centre (NDPPC), ICAR-IARI, New Delhi, during November-December, 2024. High-resolution images of Indian mustard (Brassica juncea) genotypes at 40-45 Days after sowing, at vegetative stage (BBCH16-18) that corresponds to 6 to 8 leaf unfolded stage were captured using a black background for side view and two smartphones one for Top view- Smartphone Camera specification : Samsung Galaxy A14 5G, 50 MP (f/1.8, 26mm wide, 1/2.76", 0.64µm, PDAF) main camera + 2 MP (f/2.4) macro + 2 MP (f/2.4) depth sensor; features include LED flash, panorama, HDR; video recording up to 1080p@30fps mounted on an inhouse built PVC pipe structure and other for Side view Smartphone Camera specification : Samsung Galaxy A05s, 50 MP (f/1.8, wide, autofocus) main camera + 2 MP (f/2.4) macro + 2 MP (f/2.4) depth sensor; features include LED flash, 10x digital zoom; video recording up to 1080p@30/60fps placed on a tripod at a fixed distance. The potted mustard plants were manually rotated to obtain three side view images at 0°, 120° and 240° with a black background. One Top view image was simultaneously captured using topview smartphone. Brassica juncea genotypes were grown in plastic pots filled with 13 kg soil with recommended dose of 100-60-40-20 kg/ha N-P-K-S, respectively. Images of 10 genotypes with two replications and three side views and one top view each were captured in .jpeg format.
This comprehensive dataset facilitate downstream image analysis, binary masks were generated for each image using color-based thresholding techniques. These masks delineate the plant region from the background, providing a clean segmentation layer for further phenotypic trait extraction.The availability of binary masks aligned with multi-view images enables a wide range of analyses within high-throughput phenotyping (HTP) frameworks. Specifically:
• Trait Quantification: The dataset supports automated estimation of morphological features such as leaf area, plant height, rosette diameter, and canopy spread through non-destructive image-based methods.
• 3D Reconstruction Potential: The multi-view nature of the images lends itself to 3D modeling and reconstruction of the plant architecture, enhancing our understanding of growth dynamics over time.
• Digital Image Processing (DIP): The binary segmentation masks simplify tasks such as edge detection, object tracking, and shape analysis, which are foundational in DIP pipelines.
This dataset can serve as a valuable resource for researchers developing computer vision algorithms in plant phenomics, particularly in the context of mustard, and contributes to the broader goals of precision agriculture and crop improvement through AI-assisted tools.
DOI: 10.5281/zenodo.14918473
title: Dataset for daily energy management: Renewable generation, consumption, and storage

description: This dataset provides annual hourly data on renewable generation (kWh), consumption (kWh), and energy prices (EUR/kWh). The data is categorized into seasonal blocks (i.e., winter, spring, summer, and autumn) and contains representative daily scenarios for each season. The available data includes sets of 3, 9, 12, 27, and 50 scenarios, such as the “Set of 3 Winter Scenarios” and “Set of 50 Autumn Scenarios”. The dataset also includes real battery charge and discharge profiles collected over 24-hour periods at 15-minute intervals.

 

 The data are organized into multiple sheets, each representing specific components of the dataset as follows:



“2023 data” sheet: Contains hourly historical data for the entire year of 2023, including timestamp (column A), PV generation (kW) (column B), Consumption (kW) (column C), Consumption (p.u.) (column D), Energy price (EUR/MWh) (column E), Energy price (EUR/kWh) (column F).

Seasonal data sheets (winter, spring, summer, autumn): Each sheet contains hourly data according to the season, including Timestamp (column A), PV generation (kW) (column B), Consumption (kW) (column C), Consumption (p.u.) (column D), Energy price (EUR/MWh) (column E), Energy price (EUR/kWh) (column F).

Representative scenario sheets: These sheets contain representative scenarios generated for each season (Winter, Spring, Summer, Autumn) using the method detailed in section 4a. Each sheet is organized by the number of clusters used to generate the scenarios, allowing for different levels of detail and computational complexity. The available scenarios include sets of 3, 9, 12, 27, and 50 clusters, such as the “Set of 3 Winter Scenarios” and “Set of 50 Autumn Scenarios.”

“Battery SOC profiles” sheet: This spreadsheet contains real data for three battery operational profiles recorded over 24 hours at 15-minute intervals (96 periods). Each profile includes the following parameters: period, time, SOC (%), and temperature (°C).
description: This dataset was developed under the “NGS - New Generation Storage” Innovation Pact (C644936001-00000045), by the “NGS” Consortium, cofounded by the NextGenerationEU, through the investment “Agendas para a Inovação Empresarial” of the Portuguese Recovery and Resilience Plan (PRR). The authors acknowledge the work facilities and equipment provided by the GECAD research center (UIDB/00760/2020) to the project team.
DOI: 10.5281/zenodo.14918474
title: Dataset for daily energy management: Renewable generation, consumption, and storage

description: This dataset provides annual hourly data on renewable generation (kWh), consumption (kWh), and energy prices (EUR/kWh). The data is categorized into seasonal blocks (i.e., winter, spring, summer, and autumn) and contains representative daily scenarios for each season. The available data includes sets of 3, 9, 12, 27, and 50 scenarios, such as the “Set of 3 Winter Scenarios” and “Set of 50 Autumn Scenarios”. The dataset also includes real battery charge and discharge profiles collected over 24-hour periods at 15-minute intervals.

 

 The data are organized into multiple sheets, each representing specific components of the dataset as follows:



“2023 data” sheet: Contains hourly historical data for the entire year of 2023, including timestamp (column A), PV generation (kW) (column B), Consumption (kW) (column C), Consumption (p.u.) (column D), Energy price (EUR/MWh) (column E), Energy price (EUR/kWh) (column F).

Seasonal data sheets (winter, spring, summer, autumn): Each sheet contains hourly data according to the season, including Timestamp (column A), PV generation (kW) (column B), Consumption (kW) (column C), Consumption (p.u.) (column D), Energy price (EUR/MWh) (column E), Energy price (EUR/kWh) (column F).

Representative scenario sheets: These sheets contain representative scenarios generated for each season (Winter, Spring, Summer, Autumn) using the method detailed in section 4a. Each sheet is organized by the number of clusters used to generate the scenarios, allowing for different levels of detail and computational complexity. The available scenarios include sets of 3, 9, 12, 27, and 50 clusters, such as the “Set of 3 Winter Scenarios” and “Set of 50 Autumn Scenarios.”

“Battery SOC profiles” sheet: This spreadsheet contains real data for three battery operational profiles recorded over 24 hours at 15-minute intervals (96 periods). Each profile includes the following parameters: period, time, SOC (%), and temperature (°C).
description: This dataset was developed under the “NGS - New Generation Storage” Innovation Pact (C644936001-00000045), by the “NGS” Consortium, cofounded by the NextGenerationEU, through the investment “Agendas para a Inovação Empresarial” of the Portuguese Recovery and Resilience Plan (PRR). The authors acknowledge the work facilities and equipment provided by the GECAD research center (UIDB/00760/2020) to the project team.
DOI: 10.5281/zenodo.15394961
title: Dataset for daily energy management: Renewable generation, consumption, and storage

description: This dataset provides annual hourly data on renewable generation (kWh), consumption (kWh), and energy prices (EUR/kWh). The data is categorized into seasonal blocks (i.e., winter, spring, summer, and autumn) and contains representative daily scenarios for each season. The available data includes sets of 3, 9, 12, 27, and 50 scenarios, such as the “Set of 3 Winter Scenarios” and “Set of 50 Autumn Scenarios”. The dataset also includes real battery charge and discharge profiles collected over 24-hour periods at 15-minute intervals.

 

 The data are organized into multiple sheets, each representing specific components of the dataset as follows:



“2023 data” sheet: Contains hourly historical data for the entire year of 2023, including timestamp (column A), PV generation (kW) (column B), Consumption (kW) (column C), Consumption (p.u.) (column D), Energy price (EUR/MWh) (column E), Energy price (EUR/kWh) (column F).

Seasonal data sheets (winter, spring, summer, autumn): Each sheet contains hourly data according to the season, including Timestamp (column A), PV generation (kW) (column B), Consumption (kW) (column C), Consumption (p.u.) (column D), Energy price (EUR/MWh) (column E), Energy price (EUR/kWh) (column F).

Representative scenario sheets: These sheets contain representative scenarios generated for each season (Winter, Spring, Summer, Autumn) using the method detailed in section 4a. Each sheet is organized by the number of clusters used to generate the scenarios, allowing for different levels of detail and computational complexity. The available scenarios include sets of 3, 9, 12, 27, and 50 clusters, such as the “Set of 3 Winter Scenarios” and “Set of 50 Autumn Scenarios.”

“Battery SOC profiles” sheet: This spreadsheet contains real data for three battery operational profiles recorded over 24 hours at 15-minute intervals (96 periods). Each profile includes the following parameters: period, time, SOC (%), and temperature (°C).
description: This dataset was developed under the “NGS - New Generation Storage” Innovation Pact (C644936001-00000045), by the “NGS” Consortium, cofounded by the NextGenerationEU, through the investment “Agendas para a Inovação Empresarial” of the Portuguese Recovery and Resilience Plan (PRR). The authors acknowledge the work facilities and equipment provided by the GECAD research center (UIDB/00760/2020) to the project team.
DOI: 10.15468/dl.h8xdsp
title: Occurrence Download

description: A dataset containing 1222 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Human Observation, Living Specimen, Occurrence evidence)",
 "Continent is Europe",
 "Country is Portugal",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Month is one of (February, March, April, May, June, July, August, September, October, November, December, January)",
 "OccurrenceStatus is Present",
 "TaxonKey is Agave americana L.",
 "Year 2019-2024"
 ]
}

 The dataset includes 1222 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028072-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/b3qoep
title: Low-Dose Lithium Salts for Varroa Mite Management in Honeybees: Field Efficacy and Health Implications

description: Low-Dose Lithium Salts for Varroa Mite Management in Honeybees: Field Efficacy and Health Implications