cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3535/pyf-p4d-mjh
title: Rangifer tarandus (Linnaeus, 1758)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/5sz-0qq-pdb
title: Odontaspis

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/vt5-5bc-fjn
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/fpn-07d-8xa
title: Bos taurus Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/v8v-0hl-kvz
title: Lamna

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/fn5-7zw-fke
title: Brachiopoda Duméril, 1805

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/pwg-nzs-h40
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/flb-zrl-1c8
title: Porifera Grant, 1836

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/qrl-n1s-0e3
title: Scalpellum

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/7fn-yl2-fa9
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/xx3-40y-cpm
title: Phyllacanthus Brandt, 1835

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/3ab-403-9m7
title: Lychniscosida Schrammen, 1903

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/9l4-s67-cxt
title: Equus (Equus) caballus Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/cxh-zp0-6c2
title: †Echinocorys Leske, 1778

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/0l3-8pt-ers
title: Sus scrofa Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/ygc-mhs-pwx
title: Heteroscleromorpha Cárdenas, Pérez & Boury-Esnault, 2012

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/566-hyj-vkj
title: Equus (Equus) caballus Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/znh-1qa-zja
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/ph1-7eg-jy4
title: Isurus

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/zzk-w67-zvx
title: Odontaspis

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/h4g-l9z-3n3
title: Canis lupus familiaris Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/9br-3sf-rxp
title: Balanophyllia (Eupsammia) Milne Edwards & Haime, 1848

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/hdk-w10-233
title: Pilosa Flower, 1883

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/lzq-327-kn4
title: †Acaste downingiae (Murchison, 1839)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/t2f-kfv-f67
title: Delphinapterus leucas (Pallas, 1776)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.18738/t8/jjbkhx
title: Ecological_Land_Classification_Vegetation_Based

description: Shapefile of the vegetation-based ecological land classification for the Mission River landscape. Each feature in the shapefile represents a distinct landscape patch. The "Ecol_Class" field in the attribute table identifies the ecological class for each feature. The vegetation-based ecological classes are based on the common name vegetation classes from the Ecological Mapping System of Texas and manual digitizing of the geomorphological features. The spatial reference for the data is NAD83 UTM zone 14N.
DOI: 10.18738/t8/jxaxzy
title: Replication Data for Risk Assessment of Copper and Molybdenum and Other Minerals in Feed Ingredients and Finished Feeds

description: This file contains the data used in the paper listed above. The sample data used in the paper was collected by the Office of the Texas State Chemist in the state of Texas from various manufacturers and distributors.
DOI: 10.18738/t8/lomhkh
title: EBPG_Project_2019_Interview02

description: EBPG_Interview_02
description: This interview will be the first of several. Please use as test trial.
DOI: 10.18738/t8/mzq3o8
title: Flow Inundation Extents: Landcover +25% Roughness Scenario

description: &lt;p&gt; Polygon shapefiles that represent flow inundation extents. These extents are derived from water surface elevations from the HEC-RAS 5.0.7 2D hydrodynamic model (Brunner, 2016), and associated with flow stages (1.0 – 11.63m) at 0.25m interval (N=44). These flow stages were output from simulations coincident with the scenario that contains patches that are derived from locations of downed trees expanded by 2.0 m. At these patches, roughness is 25% higher than the roughness that is only associated with land cover, informed by the Ecological Mapping Systems of Texas (Elliott et al. 2014, url: https://tpwd.texas.gov/landwater/land/programs/landscape-ecology/ems/) and calibrated to WSEs found in flood insurance studies (FEMA, 2014), which found an error of 20cm. Only inundation extents that are associated with a depth above 20cm and are connected to the main channel are preserved. &lt;/p&gt;
&lt;p&gt; Brunner, G.W. (2016). HEC-RAS: River Analysis System, 2D Modeling User’s Manual Version 5.0. Rep., Hydrological Engineering Center – U.S. Army Corp of Engineers, Davis, CA.&lt;/p&gt;
&lt;p&gt; Elliott, L.F., Treuer-Kuehn, A., Blodgett, C.F., True. C.D., German, D. Diamond, D.D. (2014). Ecological System of Texas: 391 Mapped Types, edited by Texas Parks and Wildlife Department and Texas Water Development Board, Austin, TX.&lt;/p&gt;
&lt;p&gt; FEMA (2014). Flood Insurance Study: Refugio County, Texas and Incorporated Areas. Rep., 101 pp, Federal Emergency Management Agency, Denton, TX.&lt;/p&gt;
DOI: 10.18738/t8/oecsxz
title: Grid model energy, emissions, and economics results

description: These data include the annual energy results, by fuel type, for each model run scenario as well as annual emissions and economics results.
DOI: 10.15468/dl.aa3g9h
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Malaysia, Singapore, Indonesia)",
 "OccurrenceStatus is Present",
 "TaxonKey is Rhynchobatus springeri Compagno & Last, 2010",
 "Year 2000-2024"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011387-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ej8seg
title: Occurrence Download

description: A dataset containing 37949 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Azolla filiculoides Lam."
 ]
}

 The dataset includes 37949 records from 820 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011385-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4d67py
title: Occurrence Download

description: A dataset containing 26993 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cannabis sativa L."
 ]
}

 The dataset includes 26993 records from 790 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011386-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25345/c5cj87z4v
title: MassIVE MSV000097699 - Chana_GID4_MolGlueCmpds_6600_P124
title: This dataset consists of 10 raw MS files and associated peak lists and results files, acquired on AB Sciex TripleTOF 6600 mass spectrometer operated in Data Dependent Acquisition mode. Samples were generated and IP was performed by Chetan Chana. Mass spectrometry acquisition was performed by Cassandra Wong. Data analysis was performed by Brett Larsen and Chetan Chana. The files are associated with a manuscript submitted for publication by Chetan Chana et al. This manuscript identifies proteins which are glued to GID4 via treatment with small molecules. Frank Sicheri is the corresponding authors of the manuscript (sicheri@lunenfeld.ca); Anne-Claude Gingras should be contacted for questions on this dataset (gingras@lunenfeld.ca) This submission is associated with 2 Supplementary Files (in addition to this README file) Table 1 describes the composition of this dataset Table 2 lists all the peptide identification evidence (as per iProphet)
DOI: 10.5281/zenodo.15269560
title: IPLMA_Datasets Required
DOI: 10.5281/zenodo.15269561
title: IPLMA_Datasets Required
DOI: 10.15468/dl.trg5we
title: Occurrence Download

description: A dataset listing the 16 species recorded in GBIF matching the query:
{
 "TaxonKey" : [
 "is Panthera onca (Linnaeus, 1758)"
 ]
}

 The dataset's 16 records were derived from 291 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003016-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.actnu5
title: Occurrence Download

description: A dataset containing 104 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Argopecten nucleus (Born, 1778)",
 "Year 2000-2025"
 ]
}

 The dataset includes 104 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003019-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jgd5us
title: Occurrence Download

description: A dataset containing 43 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((-107.0688 23.24913, -106.9188 23.24913, -106.9188 23.39913, -107.0688 23.39913, -107.0688 23.24913))"
 ]
}

 The dataset includes 43 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042392-251025141854904/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.30647552
title: <b>RNA-seq dataset for "</b><b>Versatile and selective biomolecule pulldown with combinatorial DNA-crosslinked polymers"</b>

description: Raw RNA sequencing datasets and associated Kallisto TPM counts
DOI: 10.6084/m9.figshare.30647552.v1
title: <b>RNA-seq dataset for "</b><b>Versatile and selective biomolecule pulldown with combinatorial DNA-crosslinked polymers"</b>

description: Raw RNA sequencing datasets and associated Kallisto TPM counts
DOI: 10.15468/dl.yc9q9e
title: Occurrence Download

description: A dataset containing 8890 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "Geometry POLYGON ((5.967663745416647 49.72444878656061, 5.966622893924936 49.73323524870719, 5.962956592905882 49.74172118157717, 5.956804506245631 49.74958023253538, 5.948402204301927 49.75651000515751, 5.9380722412450355 49.76224373760698, 5.926211812074216 49.76656062339594, 5.913277455437736 49.769294367348856, 5.89976739505688 49.770339637201644, 5.886202215733743 49.769656153581266, 5.873104643708817 49.76727025474475, 5.860979241161633 49.76327387336985, 5.850292828497356 49.75782096640946, 5.8414564155002076 49.751121540905686, 5.834809355433117 49.74343351417438, 5.8306063387088285 49.735052731765315, 5.829007720469609 49.72630153754529, 5.830073536026402 49.71751634439397, 5.833761406896678 49.70903468950552, 5.83992838538426 49.70118227423238, 5.848336633982823 49.69426048477722, 5.8586626931894825 49.688534867612354, 5.87050996232186 49.68422499374678, 5.883423906223956 49.68149609085307, 5.896909408831116 49.680452754186696, 5.910449624048009 49.68113496881002, 5.923525626201936 49.68351658965968, 5.935636136934987 49.687506335343784, 5.946316602982842 49.6929512591345, 5.955156919871385 49.699642569355476, 5.961817139996697 49.70732358416873, 5.966040569442172 49.715699525524265, 5.967663745416647 49.72444878656061))",
 "Year is one of (2019, 2020, 2021, 2022, 2023, 2024, 2025)",
 "KingdomKey is one of (Animalia, Fungi, Plantae)"
 ]
}

 The dataset includes 8890 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042391-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9szrkp
title: Occurrence Download

description: A dataset containing 634 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Leymus angustus",
 "HasCoordinate is true"
 ]
}

 The dataset includes 634 records from 34 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042393-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15978628
title: Topographic scattering of internal waves in the presence of a steady surface current

description: Datasets and Codes that were used to generate the data used in the Paper titled "Topographic scattering of internal waves in the presence of a steady surface current". 

 

Codes need to be run with the open source, pseudo spectral code Dedalus (Burns et al. 2020).
DOI: 10.5281/zenodo.15978629
title: Topographic scattering of internal waves in the presence of a steady surface current

description: Datasets and Codes that were used to generate the data used in the Paper titled "Topographic scattering of internal waves in the presence of a steady surface current". 

 

Codes need to be run with the open source, pseudo spectral code Dedalus (Burns et al. 2020).
DOI: 10.15468/dl.eq4s84
title: Occurrence Download

description: A dataset containing 183 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Amerosporium",
 "HasCoordinate is true"
 ]
}

 The dataset includes 183 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042394-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5287/ora-eonzaxjpm
title: Data repository for 'Electrochemical-thermal modelling of high power Li-ion pouch cells'

description: This dataset contains experimental results from comprehensive lock-in thermography performed on a large-format Li-ion (LFP/Gr) pouch cell across a wide range of operating conditions. Measurements include constant-current charge/discharge tests and pulse-testing protocols conducted at multiple states of charge and C-rates from 1C to 10C. These experiments were designed to characterise the cell’s thermal behaviour and electrochemical performance under high-power operation. The dataset accompanies our publication, “Electrochemical-thermal modelling of high power Li-ion pouch cells” (Journal of Power Sources, 2026; DOI: 10.1016/j.jpowsour.2025.238764), and the PhD thesis by M. E. Wojtala (2023), Degradation and thermal performance of Li-ion batteries: implications for electric vehicles (University of Oxford; DOI: 10.5287/ora-vj4g0a82q).
DOI: 10.5281/zenodo.17642110
title: CircThread Dataset Deliverable 3.3 Target Components & Disassembly Failures Questionnaire

description: Dataset supporting Deliverable 3.3.
DOI: 10.5281/zenodo.17642111
title: CircThread Dataset Deliverable 3.3 Target Components & Disassembly Failures Questionnaire

description: Dataset supporting Deliverable 3.3.
DOI: 10.15468/dl.mrgkzn
title: Occurrence Download

description: A dataset containing 18 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((-106.9188 23.24913, -106.7688 23.24913, -106.7688 23.39913, -106.9188 23.39913, -106.9188 23.24913))"
 ]
}

 The dataset includes 18 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042397-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60879/ufg/nruyop
title: SLArch: arquitetura de Split Learning orientada a m��tricas de rede para desempenho de redes m��veis B5G/6G
title: SLArch: A Network Metric-aware Split Learning Architecture for B5G/6G Mobile Networks

description: O conjunto de dados re��ne m��tricas de rede e de aprendizado geradas por simula����es integradas entre o NS-3/5G-LENA e o pipeline de Split Learning via ns3-ai. Seu prop��sito �� avaliar como lat��ncia, throughput, jitter, taxa de perda de pacotes e energia influenciam a estabilidade e a converg��ncia do treinamento distribu��do em cen��rios 5G/B5G com diferentes slices (URLLC, eMBB, mMTC), numerologias e cargas de tr��fego. Os dados incluem s��ries temporais, estat��sticas agregadas e resultados de acur��cia, todos exportados em CSV, permitindo an��lises quantitativas compar��veis e reprodut��veis. O escopo abrange desde a configura����o do cen��rio (gNBs, UEs, BWPs) at�� a coleta final das m��tricas, fornecendo uma base estruturada para estudar a rela����o entre comportamento da rede e desempenho do aprendizado distribu��do.
description: Split Learning (SL) �� um paradigma de aprendizado colaborativo no qual um modelo de rede neural �� particionado entre cliente e servidor, possibilitando treinamento distribu��do sem a necessidade de compartilhar os dados originais. Nesta disserta����o, investigamos uma arquitetura de SL sens��vel ��s condi����es de rede, desenvolvida no simulador Network Simulator 3 (ns-3) com o m��dulo 5G-LENA e a interface ns3-ai, a fim de avaliar a viabilidade desse paradigma em cen��rios Beyond 5G (B5G) e 6G. O framework proposto, denominado Split-Learning-ns3, constitui uma infraestrutura aberta, reprodut��vel e extens��vel, capaz de integrar processos de aprendizado de m��quina a din��micas realistas de rede, considerando m��tricas como lat��ncia, vaz��o, jitter, taxa de perda de pacotes (PLR) e consumo energ��tico. Para validar a proposta, estabelecemos um protocolo experimental com redes neurais convolucionais (CNN) treinadas sobre o conjunto de dados MNIST, distribu��das entre diferentes fatiamentos (URLLC, eMBB, mMTC) sob m��ltiplas numerologias e configura����es de parte de largura de banda (BWP). Os resultados mostram que a PLR �� o fator dominante para a converg��ncia, enquanto lat��ncia e vaz��o exercem influ��ncia moderada; contudo, o jitter e o consumo energ��tico apresentam pap��is mensur��veis, por��m secund��rios. A an��lise por fatiamento confirma que o URLLC assegura menor lat��ncia, o eMBB concentra maior vaz��o e o mMTC demonstra maior efici��ncia energ��tica. Esses achados refor��am a import��ncia da confiabilidade do enlace e da aloca����o de recursos para o desempenho do SL em condi����es realistas. Al��m de fornecer uma base metodol��gica reprodut��vel, esta disserta����o oferece evid��ncias emp��ricas para o treinamento distribu��do resiliente e energeticamente eficiente na borda da rede sem fio (wireless edge), com aplica����es potenciais em setores cr��ticos como sa��de, transporte aut��nomo e Ind��stria 4.0.
description: Simulador Network Simulator 3 (ns-3), Vers��o 3.45
DOI: 10.5281/zenodo.17642088
title: Machine learning for east africa MAM seasonal forecasts
DOI: 10.5281/zenodo.17642089
title: Machine learning for east africa MAM seasonal forecasts
DOI: 10.15468/dl.q9akxb
title: Occurrence Download

description: A dataset containing 416 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Brazil",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Cariniana legalis"
 ]
}

 The dataset includes 416 records from 64 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042398-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dbcszg
title: Occurrence Download

description: A dataset containing 4819 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Leymus cinereus",
 "HasCoordinate is true"
 ]
}

 The dataset includes 4819 records from 100 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042400-251025141854904/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.30648812
title: Descriptor data for RHEA yield strength and plasticity

description: Yield Strength-Plasticity Trade-off and Uncertainty Quantification for Machine-learning-based Design of Refractory High-Entropy Alloys
DOI: 10.6084/m9.figshare.30648812.v1
title: Descriptor data for RHEA yield strength and plasticity

description: Yield Strength-Plasticity Trade-off and Uncertainty Quantification for Machine-learning-based Design of Refractory High-Entropy Alloys
DOI: 10.15468/dl.83466g
title: Occurrence Download

description: A dataset containing 22963 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Terminalia catappa"
 ]
}

 The dataset includes 22963 records from 433 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042401-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9d2qz8
title: Occurrence Download

description: A dataset containing 121 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((-106.7688 23.24913, -106.6188 23.24913, -106.6188 23.39913, -106.7688 23.39913, -106.7688 23.24913))"
 ]
}

 The dataset includes 121 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042406-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rbszxu
title: Occurrence Download

description: A dataset containing 301 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Chasmagnathus convexus"
 ]
}

 The dataset includes 301 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042407-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.