cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.mjx868
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((71.64125199999999 24.51803, 71.56407299999999 24.512453, 71.488815 24.495861, 71.417348 24.468666, 71.351446 24.431545, 71.29274100000001 24.385419, 71.242681 24.331433, 71.202495 24.270926, 71.173164 24.205396, 71.155395 24.136461, 71.149609 24.065824, 71.15592700000001 23.995225, 71.17417500000001 23.926401, 71.20388699999999 23.861042, 71.244317 23.800751, 71.294461 23.747006, 71.353082 23.70112, 71.41874 23.664215, 71.48982599999999 23.637192, 71.564605 23.62071, 71.64125199999999 23.615171, 71.717899 23.62071, 71.792678 23.637192, 71.863764 23.664215, 71.929422 23.70112, 71.988043 23.747006, 72.03818699999999 23.800751, 72.07861699999999 23.861042, 72.108329 23.926401, 72.126577 23.995225, 72.132895 24.065824, 72.127109 24.136461, 72.10934 24.205396, 72.080009 24.270926, 72.039823 24.331433, 71.989763 24.385419, 71.93105799999999 24.431545, 71.865156 24.468666, 71.793689 24.495861, 71.718431 24.512453, 71.64125199999999 24.51803))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0082127-251120083545085/datasets/export for details.
DOI: 10.21227/eyh9-hg41
title: "Beyond the GPU: Efficiency, Limitations, and Future Trends in FPGA LLM Inference"

description: "Large-language model (LLM) inference is a rapidly growing class of computer workload, with over 100~GW of compute capacity expected to come online in the next 5 years. The most popular chips used for LLM inference are graphics processing units (GPUs), which are expensive and power-intensive. We present a review of the latest literature on LLM inference using field-programmable gate arrays (FPGAs), which are chips that can be programmatically optimized for inference tasks. We find that current FPGA implementations can achieve similar inference speeds to GPUs while using up to 80 percent less energy. We also find that FPGA performance is primarily constrained by memory bandwidth, limiting them to smaller models. We discuss these limitations, provide analysis of upcoming FPGA products that may overcome these limitations, and analyze the implications of our findings on the future of LLM inference hardware."
DOI: 10.15468/dl.k5zyhv
title: Occurrence Download

description: A dataset containing 303 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Bothrops lanceolatus"
 ]
}

 The dataset includes 303 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0082128-251120083545085/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/14438032
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15468/dl.9aqwv5
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Ficus noronhae",
 "Year 1970-2026"
 ]
}

 The dataset includes 8 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0082129-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ryrcrz
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((71.64125199999999 24.51803, 71.56407299999999 24.512453, 71.488815 24.495861, 71.417348 24.468666, 71.351446 24.431545, 71.29274100000001 24.385419, 71.242681 24.331433, 71.202495 24.270926, 71.173164 24.205396, 71.155395 24.136461, 71.149609 24.065824, 71.15592700000001 23.995225, 71.17417500000001 23.926401, 71.20388699999999 23.861042, 71.244317 23.800751, 71.294461 23.747006, 71.353082 23.70112, 71.41874 23.664215, 71.48982599999999 23.637192, 71.564605 23.62071, 71.64125199999999 23.615171, 71.717899 23.62071, 71.792678 23.637192, 71.863764 23.664215, 71.929422 23.70112, 71.988043 23.747006, 72.03818699999999 23.800751, 72.07861699999999 23.861042, 72.108329 23.926401, 72.126577 23.995225, 72.132895 24.065824, 72.127109 24.136461, 72.10934 24.205396, 72.080009 24.270926, 72.039823 24.331433, 71.989763 24.385419, 71.93105799999999 24.431545, 71.865156 24.468666, 71.793689 24.495861, 71.718431 24.512453, 71.64125199999999 24.51803))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0082131-251120083545085/datasets/export for details.
DOI: 10.5281/zenodo.18188692
title: Bounded Drivers in Immune Geometry: Supplementary Data and Analysis

description: This dataset contains supplementary data and analysis for the research on bounded drivers in immune geometry. The analysis focuses on identifying critical parameters that control immune system organization and dynamics in different immune states.

The supplementary file TableS2_ALL_runs.tsv contains comprehensive analysis results including mutual information (MI) measurements across multiple immune states, phase transition indicators, and bounded driver identification using geometric methods.

Key analysis components:- Immune state characterization using single-cell transcriptomics- Critical phenomena detection and analysis- Bounded driver identification through mutual information calculations- Geometric constraints on immune system dynamics- Phase transition analysis in immune populations

This data supports research on systems immunology and complex biological phenomena in immune system evolution and adaptation.
DOI: 10.5281/zenodo.18188691
title: Bounded Drivers in Immune Geometry: Supplementary Data and Analysis

description: This dataset contains supplementary data and analysis for the research on bounded drivers in immune geometry. The analysis focuses on identifying critical parameters that control immune system organization and dynamics in different immune states.

The supplementary file TableS2_ALL_runs.tsv contains comprehensive analysis results including mutual information (MI) measurements across multiple immune states, phase transition indicators, and bounded driver identification using geometric methods.

Key analysis components:- Immune state characterization using single-cell transcriptomics- Critical phenomena detection and analysis- Bounded driver identification through mutual information calculations- Geometric constraints on immune system dynamics- Phase transition analysis in immune populations

This data supports research on systems immunology and complex biological phenomena in immune system evolution and adaptation.
DOI: 10.15468/dl.zheg8a
title: Occurrence Download

description: A dataset containing 100019 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lynx rufus"
 ]
}

 The dataset includes 100019 records from 207 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0082092-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/e242705
title: DQS Normal weight, overweight, and obesity among adults aged 20 and over, by selected characteristics: United States

description: Data on overweight and obesity among adults aged 20 and over in the United States, by selected characteristics, including sex, age, race, Hispanic origin, and poverty level. Data are from Health, United States. SOURCE: National Center for Health Statistics, National Health and Nutrition Examination Survey.
Search, visualize, and download these and other estimates from a wide range of health topics with the NCHS Data Query System (DQS), available from: https://www.cdc.gov/nchs/dataquery/index.htm.
Read less
description: (Downloaded 1/7/2026)
DOI: 10.3886/e242705v1
title: DQS Normal weight, overweight, and obesity among adults aged 20 and over, by selected characteristics: United States

description: Data on overweight and obesity among adults aged 20 and over in the United States, by selected characteristics, including sex, age, race, Hispanic origin, and poverty level. Data are from Health, United States. SOURCE: National Center for Health Statistics, National Health and Nutrition Examination Survey.
Search, visualize, and download these and other estimates from a wide range of health topics with the NCHS Data Query System (DQS), available from: https://www.cdc.gov/nchs/dataquery/index.htm.
Read less
description: (Downloaded 1/7/2026)
DOI: 10.15468/dl.dkhy57
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((71.661404 24.586027, 71.58418399999999 24.58045, 71.50888500000001 24.563858, 71.43738 24.536663, 71.371443 24.499542, 71.31270600000001 24.453416, 71.26262 24.39943, 71.222413 24.338924, 71.193067 24.273393, 71.17529 24.204459, 71.169501 24.133823, 71.17582400000001 24.063224, 71.19408199999999 23.994401, 71.22381 23.929043, 71.264262 23.868753, 71.31443299999999 23.815009, 71.373085 23.769123, 71.438777 23.732219, 71.5099 23.705197, 71.584717 23.688715, 71.661404 23.683176, 71.738091 23.688715, 71.81290799999999 23.705197, 71.88403099999999 23.732219, 71.94972300000001 23.769123, 72.008375 23.815009, 72.05854600000001 23.868753, 72.09899799999999 23.929043, 72.128726 23.994401, 72.146984 24.063224, 72.153307 24.133823, 72.14751800000001 24.204459, 72.129741 24.273393, 72.10039500000001 24.338924, 72.060188 24.39943, 72.010102 24.453416, 71.951365 24.499542, 71.885428 24.536663, 71.813923 24.563858, 71.738624 24.58045, 71.661404 24.586027))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0082133-251120083545085/datasets/export for details.
DOI: 10.5281/zenodo.18189026
title: CSV Datasets on Exhibited Objects and Digitisation Process from "The Other Renaissance – Ulisse Aldrovandi and the Wonders of the World" Temporary Exhibition Digital Twin

description: This record contains the CSV datasets of the metadata about the exhibited objects and the digitisation process, collected while creating the Digital Twin of the temporary exhibition THE OTHER RENAISSANCE - Ulisse Aldrovandi and the wonders of the world (closed in May 2023). These CSV tables are intended to serve as input for CHAD-KG, the TTL Serialised RDF Dataset of Exhibited Objects and Digitisation Process (10.5281/zenodo.15102845), based on the Chad-AP application profile (https://dharc-org.github.io/chad-ap/current/chad-ap.html) and generated using the ad-hoc extension Morph-KGChad (https://github.com/dharc-org/morph-kgc-changes-metadata.git) of the RML materialisation tool Morph-KGC (https://github.com/morph-kgc). 

Updated Version 1.1: licenses were also specified for the digital object derived from digitisation processes previous to the Digital Twin development.
DOI: 10.15468/dl.w4427f
title: Occurrence Download

description: A dataset containing 13331 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Europe",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Xanthium strumarium"
 ]
}

 The dataset includes 13331 records from 360 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0082134-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18188212
title: Riemann Zeros: A Self-Organized Hamil- tonian Framework in Phase Space and the Mechanical Pressure Equilibrium of the vacuum fabric
DOI: 10.5281/zenodo.15850977
title: Constraining Population III stellar demographics with next-generation gravitational-wave observatories

description: Data release accompanying Plunkett et al. 2025.

The files contain the posterior samples for the analyses on each Pop III universe, TOP and LOG. Each file includes the combined samples from the 50 normalizing flows that comprise the deep ensemble used for the Pop III mass model. The hyperparameters are described in Table III of Plunkett et al. 2025.
DOI: 10.5281/zenodo.15850976
title: Constraining Population III stellar demographics with next-generation gravitational-wave observatories

description: Data release accompanying Plunkett et al. 2025.

The files contain the posterior samples for the analyses on each Pop III universe, TOP and LOG. Each file includes the combined samples from the 50 normalizing flows that comprise the deep ensemble used for the Pop III mass model. The hyperparameters are described in Table III of Plunkett et al. 2025.
DOI: 10.15468/dl.2bwyj3
title: Occurrence Download

description: A dataset containing 57 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is UWBM Ornithology Collection",
 "PublishingOrg is 06fcbbf0-0562-11d8-b851-b8a03c50a862",
 "TaxonKey is Momotus"
 ]
}

 The dataset includes 57 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0082135-251120083545085/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.28113032.v1
title: supplementary table and figure

description: Detrital zircon U-Pb ages of Hanoi sedimentary rocks for Red River provenance and reorganization.
DOI: 10.15468/dl.kjkdex
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((71.661404 24.586027, 71.58418399999999 24.58045, 71.50888500000001 24.563858, 71.43738 24.536663, 71.371443 24.499542, 71.31270600000001 24.453416, 71.26262 24.39943, 71.222413 24.338924, 71.193067 24.273393, 71.17529 24.204459, 71.169501 24.133823, 71.17582400000001 24.063224, 71.19408199999999 23.994401, 71.22381 23.929043, 71.264262 23.868753, 71.31443299999999 23.815009, 71.373085 23.769123, 71.438777 23.732219, 71.5099 23.705197, 71.584717 23.688715, 71.661404 23.683176, 71.738091 23.688715, 71.81290799999999 23.705197, 71.88403099999999 23.732219, 71.94972300000001 23.769123, 72.008375 23.815009, 72.05854600000001 23.868753, 72.09899799999999 23.929043, 72.128726 23.994401, 72.146984 24.063224, 72.153307 24.133823, 72.14751800000001 24.204459, 72.129741 24.273393, 72.10039500000001 24.338924, 72.060188 24.39943, 72.010102 24.453416, 71.951365 24.499542, 71.885428 24.536663, 71.813923 24.563858, 71.738624 24.58045, 71.661404 24.586027))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0082136-251120083545085/datasets/export for details.
DOI: 10.5517/ccdc.csd.cc2fwcsh
title: CCDC 2260637: Experimental Crystal Structure Determination

description: Related Article: Jeremy Brals, David B. Cordes, Allan J. B. Watson
|2025|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2pt09v
title: CCDC 2496687: Experimental Crystal Structure Determination

description: Related Article: Constantin G. Daniliuc, Max Schwenzer, Armido Studer
|2025|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2pvpcm
title: CCDC 2498301: Experimental Crystal Structure Determination

description: Related Article: Constantin G. Daniliuc, Lin Wang, Armido Studer
|2025|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5281/zenodo.17807523
title: Phytoplankton microscopy-based biovolumes and chlorophyll a concentrations based on FluoroProbe assessment in the Laurentian Great Lakes

description: Description: Supporting data for Kovalenko et al. Limnology and Oceanography Methods includes data from the Great Lakes Biological Monitoring Program by US EPA. Included here are the aggregated phytoplankton microscopy data for pelagic phytoplankton in the Laurentian Great Lakes and simultaneously sampled fluoroprobe data for 2013-2022 along with metadata explaining fields and units of measurement. Water quality data are a subset of data collected by the US EPA integrated for  phytoplankton analysis. This dataset includes turbidity, total phosphorus and chlorophyll a, with units included in column names. Data are aggregated at the station-season-year level. Details on sampling protocols and data treatment are available in the published Standard Operating Procedures referenced in Kovalenko et al. (2025). 

File Format: .csv

Geographical Area Covered: Laurentian Great Lakes (Lake Superior, Huron, Michigan, Erie and Ontario), North America

Temporal Coverage: 2013-2022 with biannual sampling in spring and summer, typically April and August

Related Datasets: Raw fluoroprobe profile data are available from the EPA co-authors on reasonable request

Discipline: Limnology, Phycology, Aquatic Ecology
DOI: 10.5281/zenodo.18188705
title: Phytoplankton microscopy-based biovolumes and chlorophyll a concentrations based on FluoroProbe assessment in the Laurentian Great Lakes

description: Description: Supporting data for Kovalenko et al. Limnology and Oceanography Methods includes data from the Great Lakes Biological Monitoring Program by US EPA. Included here are the aggregated phytoplankton microscopy data for pelagic phytoplankton in the Laurentian Great Lakes and simultaneously sampled fluoroprobe data for 2013-2022 along with metadata explaining fields and units of measurement. Water quality data are a subset of data collected by the US EPA integrated for  phytoplankton analysis. This dataset includes turbidity, total phosphorus and chlorophyll a, with units included in column names. Data are aggregated at the station-season-year level. Details on sampling protocols and data treatment are available in the published Standard Operating Procedures referenced in Kovalenko et al. (2025). 

File Format: .csv

Geographical Area Covered: Laurentian Great Lakes (Lake Superior, Huron, Michigan, Erie and Ontario), North America

Temporal Coverage: 2013-2022 with biannual sampling in spring and summer, typically April and August

Related Datasets: Raw fluoroprobe profile data are available from the EPA co-authors on reasonable request

Discipline: Limnology, Phycology, Aquatic Ecology
DOI: 10.5517/ccdc.csd.cc2q9x0z
title: CCDC 2511961: Experimental Crystal Structure Determination

description: Related Article: Constantin G. Daniliuc, Fang Ge, Gerhard Erker
|2025|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2qg0px
title: CCDC 2515919: Experimental Crystal Structure Determination

description: Related Article: Ananda Karki, Jeanette A. Krause, Hairong Guan|2025|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2qj1w6
title: CCDC 2517878: Experimental Crystal Structure Determination

description: Related Article: G. Kh. Toirova, Kh. Kh. Turaev, A. B. Ibragimov, Sh. A. Kasimov, U. U. Ruziev, K. B. Kholturaev
|2025|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.3886/e242706
title: DQS National health spending: United States

description: National health spending in the United States. Data are from Health, United States. Source: Centers for Medicare & Medicaid Services, Office of the Actuary, National Health Statistics Group, National Health Expenditure Accounts, National health expenditures.
Search, visualize, and download these and other estimates from a wide range of health topics with the NCHS Data Query System (DQS), available from: https://www.cdc.gov/nchs/dataquery/index.htm.
Read less
description: (Downloaded 1/7/2026)