cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.43acux
title: Occurrence Download

description: A dataset containing 1338 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Megachile antisanellae Cameron, 1903, Megachile bidentata (Fabricius, 1775), Megachile bidentis Cockerell, 1896, Megachile brasiliensis Dalla Torre, 1896, Megachile luctifera Spinola, 1841, Megachile microsoma Cockerell, 1912, Megachile orba Schrottky, 1913, Megachile urbana Smith, 1879, Megalopta nitidicollis Friese, 1926, Megommation insigne (Smith, 1853), Melipona orbignyi (Guérin-Méneville, 1844), Melipona scutellaris Latreille, 1811, Melissodes sexcinctus (Lepeletier, 1841), Nannotrigona occidentalis Jaramillo, Ospina-Torres & Gonzalez, 2019, Neocorynura cuprifrons (Smith, 1879), Nomada inepta Mitchell, 1962, Nomada pseudops Cockerell, 1905, Nomada pulsatillae Cockerell, 1906, Nomada taraxacella Cockerell, 1903, Nomada ultima Cockerell, 1903)"
 ]
}

 The dataset includes 1338 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005345-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vhc8ga
title: Occurrence Download

description: A dataset containing 1619 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Plethodon websteri Highton, 1979",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 1950"
 ]
}

 The dataset includes 1619 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005346-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7jbehg
title: Occurrence Download

description: A dataset containing 82034 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Scorzoneroides autumnalis (L.) Moench",
 "Year is less than or equal to 2000",
 "Year is greater than or equal to 1970",
 {
 "or" : [
 {
 "not" : {
 "EstablishmentMeans" : [
 "is one of (MANAGED, INTRODUCED)"
 ]
 }
 },
 "EstablishmentMeans is null"
 ]
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 1000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 82034 records from 213 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005334-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25318/3310094801-eng
title: Obstacles experienced by businesses when selling goods or services to customers located within another province or territory over last 12 months

description: Obstacles experienced by businesses when selling goods or services to customers located within another province or territory over last 12 months, by North American Industry Classification System (NAICS) and business employment size.
DOI: 10.5281/zenodo.14967236
title: clean dataset
DOI: 10.5281/zenodo.14967237
title: clean dataset
DOI: 10.15468/dl.zxtjqe
title: Occurrence Download

description: A dataset containing 428454060 species occurrences available in GBIF matching the query:
{
 "Year" : [
 "1985-2006"
 ]
}

 The dataset includes 428454060 records from 21833 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005308-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.26036/cnp0007151
title: Bone marrow-derived a-synuclein exacerbates Parkinson's disease through blood-brain barrior disruption

description: Parkinson's disease (PD) is classically defined by a-synuclein pathology within the brain. However, the origin of a-synuclein remains unclear. To investigate whether peripheral sources contribute to a-synuclein pathology, we employed a novel Vav1-SNCA mouse model, in which human SNCA-A53T is selectively expressed under the Vav1-cre promoter. Bone marrow (BM) was harvested from these mice and wild-type (WT) controls, then rigorously depleted of T-cells to isolate hematopoietic populations. Following whole-body X-ray irradiation to ablate endogenous hematopoiesis in recipient WT mice, the T-cell-depleted BM was intravenously transplanted via tail vein injection. We performed single-nucleus RNA sequencing (snRNA-seq) on post-transplantation brain tissue. Our findings reveal a pivotal role for bone marrow-derived a-synuclein in disease pathogenesis, identifying erythrocytes as the primary reservoir for this protein. These results redefine our understanding of a-synuclein propagation, positioning the bone marrow as a critical source of pathogenic protein and offering new therapeutic targets for intervention.
DOI: 10.15468/dl.3rwa7c
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cyprinus carpio wuyuanensis x Carassius auratus"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057339-250920141307145/datasets/export for details.
DOI: 10.15468/dl.qtbhwt
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Rheiformes)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((30 60,60 60,60 90,30 90,30 60))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057340-250920141307145/datasets/export for details.
DOI: 10.15468/dl.u74qcu
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Rheiformes)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((0 60,30 60,30 90,0 90,0 60))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057344-250920141307145/datasets/export for details.
DOI: 10.15468/dl.pj2z7g
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Kaempferia elegans",
 "Country is India",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057342-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8gvz68
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Kaempferia elegans",
 "Country is Japan",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057343-250920141307145/datasets/export for details.
DOI: 10.15468/dl.4jhbjq
title: Occurrence Download

description: A dataset containing 9849 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Amatitlania kanna, Atherinella colombiensis, Gobiesox juradoensis, Toxotes microlepis, Pampus candidus, Amblydoras nheco, Leporinus steyermarki, Hyphessobrycon sateremawe, Betta dennisyongi, Moema apurinan, Moema boticarioi, Cottus aturi, Leuciscus bearnensis, Rhodeus meridionalis, Cobitis vardarensis, Barbus strumicae, Phallotorynus pankalos, Petrocephalus bovei, Enteromius punctitaeniatus, Micralestes occidentalis, Mormyrus rume, Micropanchax pfaffi, Mormyrus hasselquistii, Enteromius leonensis, Raiamas senegalensis, Labeo coubie, Micralestes elongatus, Hippopotamyrus pictus, Petrocephalus bane, Enteromius lornae, Enteromius machadoi, Leptocypris modestus, Micralestes ambiguus, Micralestes congicus, Micralestes fodori, Microctenopoma ocellifer, Microctenopoma uelense, Tricuspidalestes caeruleus, Bagrus docmak, Ctenopoma muriei, Microctenopoma lineatum, Alestes dentex, Leptocypris niloticus, Petrocephalus soudanensis, Leptocypris crossensis, Micralestes argyrotaenia, Hyperopisus bebe, Arnoldichthys spilopterus, Luciobarbus figuigensis, Mormyrops curviceps, Petrocephalus pallidomaculatus, Ctenopoma garuanum, Enteromius pumilus, Microctenopoma pekkolai, Schilbe durinii, Gymnarchus niloticus, Parakneria fortuita, Garra makiensis, Garra aethiopica, Epiplatys zenkeri, Phenacogrammus deheyni, Phenacogrammus polli, Polypterus mokelembembe, Polypterus congicus, Polypterus polli, Polypterus ornatipinnis, Micropanchax katangae, Polypterus ansorgii, Labeobarbus gananensis, Labeobarbus jubae, Parioglossus multiradiatus, Enteromius yardiensis, Distichodus ingae, Chiloglanis igamba, Labeobarbus dimidiatus, Heterotis niloticus, Malapterurus electricus, Marcusenius cyprinoides, Enteromius anema, Enteromius alberti, Protopterus annectens, Alestes baremoze, Scriptaphyosemion etzeli, Sandelia bainsii, Mormyrus longirostris, Nothobranchius virgatus, Enteromius akakianus, Kribia nana, Distichodus engycephalus, Distichodus brevipinnis, Hydrocynus forskahlii, Hydrocynus brevis, Lates niloticus, Brachyalestes nurse)",
 "HasCoordinate is true",
 "Year is less than or equal to 2024"
 ]
}

 The dataset includes 9849 records from 115 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057341-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wru8ec
title: Occurrence Download

description: A dataset containing 212 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Metzia lineata"
 ]
}

 The dataset includes 212 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057345-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.keyy8j
title: Occurrence Download

description: A dataset containing 2334 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Cerinthe glabra, Cerinthe glabra, Cerinthe glabra)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 2334 records from 74 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057346-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cb9h5z
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Rheiformes)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((-30 60,0 60,0 90,-30 90,-30 60))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057347-250920141307145/datasets/export for details.
DOI: 10.15468/dl.dqfjw7
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Carassius auratus x Megalobrama amblycephala tetraploid hybrid"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057350-250920141307145/datasets/export for details.
DOI: 10.15468/dl.ge9dqg
title: Occurrence Download

description: A dataset containing 2811 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Moenkhausia celibela, Otocinclus hoppei, Poecilia minor, Rineloricaria melini, Rineloricaria teffeana, Taeniacara candidi, Apionichthys asphyxiatus, Chaetobranchopsis orbicularis, Pimelodella steindachneri, Chilodus gracilis, Leporinus klausewitzi, Hyphessobrycon amaronensis, Hyphessobrycon oritoensis, Anablepsoides jucundus, Anablepsoides monticola, Platysilurus olallae, Anablepsoides derhami, Anablepsoides peruanus, Astyanax poetzschkei, Curimata inornata, Anadoras insculptus, Crenicara latruncularium, Centrodoras hasemani, Creagrutus tuyuka, Hemigrammus melanochrous, Hypostomus varimaculosus, Pseudacanthicus spinosus, Plectrochilus machadoi, Centrodoras brachiatus, Creagrutus runa, Liosomadoras oncinus, Hemigrammus coeruleus, Hemigrammus pretoensis, Hyphessobrycon melazonatus, Apteronotus macrolepis, Hypoptopoma bianale, Hyphessobrycon tukunai, Pterygoplichthys weberi, Hoplomyzon papillatus, Bryconamericus carlosi, Farlowella gracilis, Tahuantinsuyoa chipi, Bryconamericus macrophthalmus, Ancistrus dubius, Hypopygus benoneae, Loricaria pumila, Gymnotus capanema, Pariosternarchus amazonensis, Propimelodus eigenmanni, Roeboides oligistos, Myloplus arnoldi, Lycengraulis figueiredoi, Microglanis lundbergi, Leporinus arimaspi, Eleotris macrolepis, Andeancistrus eschwartzae, Ompok karunkodu, Heteropneustes longipectoralis, Ancistrus amaris, Characidium borellii, Trichomycterus oroyae, Cordylancistrus setosus, Astroblepus prenadillus, Astroblepus cajamarcaensis, Astroblepus chinchaoensis, Astroblepus floridaensis, Astroblepus hidalgoi, Astroblepus huallagaensis, Astroblepus moyanensis, Astroblepus tamboensis, Gogo arcuatus, Haplochromis schwetzi, Petrocephalus cunganus, Haplochromis humilis, Labeobarbus clarkeae, Alestes ansorgii, Pachypanchax sparksorum, Akysis vespertinus, Erethistoides vesculus, Psilorhynchus melissa, Psilorhynchus pavimentatus, Bedotia alveyi, Pseudoqolus koko, Kryptolebias marmoratus, Apistogramma caetei, Paralithoxus boujardi, Astyanax leopoldi, Leporinus melanostictus, Guianacara geayi, Peckoltia capitulata, Telestes comes, Apteronotus magoi, Spectrolebias costai, Pituna poranga, Farlowella henriquei, Hemigrammus filamentosus, Henonemus intermedius, Hyphessobrycon amandae, Ituglanis macunaima, Melanocharacidium auroradiatum)",
 "HasCoordinate is true",
 "Year is less than or equal to 2024"
 ]
}

 The dataset includes 2811 records from 74 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057351-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7r9ayp
title: Occurrence Download

description: A dataset containing 6533 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Mormyrops anguilloides, Polypterus senegalus, Micralestes stormsi, Brachyalestes imberi, Garra dembeensis, Polypterus bichir, Neolebias lozii, Fundulopanchax schwoiseri, Polypterus endlicherii, Pollimyrus eburneensis, Trichomycterus aguarague, Microglanis pellopterygius, Attonitus ephimeros, Aequidens patricki, Melanotaenia boesemani, Paralithoxus mocidade, Leiocassis aculeatus, Hemibagrus caveatus, Mystus punctifer, Glyptothorax plectilis, Mystus alasensis, Glyptothorax ketambe, Rasbora truncata, Trichomycterus meridae, Rineloricaria capitonia, Luciobarbus amguidensis, Salmo macrostigma, Luciobarbus massaensis, Squalius aradensis, Parapsilorhynchus alluriensis, Rhinosardinia bahiensis, Eirmotus furvus, Coregonus confusus, Coregonus palaea, Bryconamericus huilae, Aequidens superomaculatum, Hyphessobrycon amapaensis, Ammoglanis amapaensis, Amatolacypris trevelyani, Horiomyzon retropinnatus, Acanthodoras depressus, Pseudepapterus cucuhyensis, Apistogramma alacrina, Apistogramma iniridae, Chaetostoma platyrhynchus, Hyphessobrycon taguae, Boulengerella lucius, Charax condei, Hoplocharax goethei, Tatia nigra, Boulengerella lateristriga, Caenotropus mestomorgmatos, Gladioglanis machadoi, Heterocharax virgulatus, Tatia strigata, Hypostomus plecostomoides, Trachelyopterichthys taeniatus, Cyphocharax multilineatus, Gymnotus stenoleucus, Acestridium dichromum, Apistogramma flabellicauda, Curimata cerasina, Curimata incompta, Semaprochilodus kneri, Biotodoma wavrini, Anadoras regani, Scoloplax dicra, Scoloplax empousa, Potamotrygon constellata, Gymnotus arapaima, Potamoglanis anhanga, Compsaraia iara, Sternopygus branco, Satanoperca daemon, Trichomycterus barbouri, Cichlasoma boliviense, Hypselecara coryphaenoides, Heros spurius, Aequidens epae, Aequidens michaeli, Aequidens mauesanus, Apistogramma atahualpa, Moenkhausia newtoni, Cichlasoma araguaiense, Crenicichla cametana, Aequidens gerciliae, Aequidens rondoni, Retroculus xinguensis, Rineloricaria heteroptera, Chaetobranchus semifasciatus, Acestrorhynchus maculipinna, Anablepsoides xanthonotus, Ancistrus maculatus, Apistogramma arua, Archolaemus luciae, Astyanax gracilior, Biotoecus opercularis, Dianema urostriatum, Ituglanis parkoi, Melanorivulus schuncki)",
 "HasCoordinate is true",
 "Year is less than or equal to 2024"
 ]
}

 The dataset includes 6533 records from 134 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057349-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/3c27p5pzts
title: Data and codes for RoBERTa-base repurposing to SELFIES chemical notation

description: This repository contains four Jupyter/Colab notebooks that reproduce the analyses reported in the manuscript. The Stage 1 notebook (Domain Adaptation) performs masked language modeling to adapt RoBERTa-base to a corpus of SELFIES strings, aligning the encoder with SELFIES grammar without introducing a new vocabulary. Stage 2 (Finetuning) applies compact supervision on seven QM9 quantum-chemical properties, shaping the embedding space toward structure–property relations. The REFPROP notebook generates thermophysical and transport property grids for 88 fluids from NIST REFPROP, producing the 108k vapor-phase state points used for further evaluation. A fourth notebook (Other Codes) contains supporting scripts for embedding extraction and mean-pooling, chemotype clustering, silhouette analysis, Mantel correlation testing, and multi-output regression with (T,P), RDKit descriptors, MoLFormer-XL-10pct, and SELFIES–QM9 embeddings. These codes enable reproduction of the training pipeline, property extraction, and evaluation protocols described in the study.
DOI: 10.17632/3c27p5pzts.2
title: Data and codes for RoBERTa-base repurposing to SELFIES chemical notation

description: This repository contains four Jupyter/Colab notebooks that reproduce the analyses reported in the manuscript. The Stage 1 notebook (Domain Adaptation) performs masked language modeling to adapt RoBERTa-base to a corpus of SELFIES strings, aligning the encoder with SELFIES grammar without introducing a new vocabulary. Stage 2 (Finetuning) applies compact supervision on seven QM9 quantum-chemical properties, shaping the embedding space toward structure–property relations. The REFPROP notebook generates thermophysical and transport property grids for 88 fluids from NIST REFPROP, producing the 108k vapor-phase state points used for further evaluation. A fourth notebook (Other Codes) contains supporting scripts for embedding extraction and mean-pooling, chemotype clustering, silhouette analysis, Mantel correlation testing, and multi-output regression with (T,P), RDKit descriptors, MoLFormer-XL-10pct, and SELFIES–QM9 embeddings. These codes enable reproduction of the training pipeline, property extraction, and evaluation protocols described in the study.
DOI: 10.17632/5v54mctvxs
title: From Expansion to Elimination, DATA

description: This project performs a Bayesian hierarchical analysis to investigate the factors influencing energy cost burden across different ZIP codes and years. Using panel data from multiple Excel files spanning several years (2012-2022), the project aims to model the relationship between energy cost burden and various predictors including tax_returns, uptake (presumably related to program participation or energy efficiency measures), and percent_white.

The core of the analysis involves:

Data Loading and Preprocessing: Combining data from multiple years, handling missing values, and standardizing predictor variables.
Hierarchical Modeling: Building a Bayesian hierarchical model using PyMC that accounts for variation across both ZIP codes and years through the use of random effects.
Inference: Performing inference using both variational inference (ADVI) and Markov Chain Monte Carlo (MCMC) methods, specifically the No-U-Turn Sampler (NUTS), to estimate the posterior distributions of the model parameters.
Diagnostics and Comparison: Analyzing the convergence diagnostics (R-hat, ESS, divergences) for the MCMC samples and comparing the results obtained from ADVI and NUTS to understand the reliability of the different inference methods for this model and dataset.
Exploratory Analysis: Including steps for basic data exploration such as summary statistics, correlation analysis, and time trends of key variables.
The project highlights the importance of using robust MCMC methods like NUTS for complex models, especially when simpler approximations like ADVI might yield conflicting conclusions, and includes steps to improve sampler performance and assess convergence.
DOI: 10.17632/5v54mctvxs.1
title: From Expansion to Elimination, DATA

description: This project performs a Bayesian hierarchical analysis to investigate the factors influencing energy cost burden across different ZIP codes and years. Using panel data from multiple Excel files spanning several years (2012-2022), the project aims to model the relationship between energy cost burden and various predictors including tax_returns, uptake (presumably related to program participation or energy efficiency measures), and percent_white.

The core of the analysis involves:

Data Loading and Preprocessing: Combining data from multiple years, handling missing values, and standardizing predictor variables.
Hierarchical Modeling: Building a Bayesian hierarchical model using PyMC that accounts for variation across both ZIP codes and years through the use of random effects.
Inference: Performing inference using both variational inference (ADVI) and Markov Chain Monte Carlo (MCMC) methods, specifically the No-U-Turn Sampler (NUTS), to estimate the posterior distributions of the model parameters.
Diagnostics and Comparison: Analyzing the convergence diagnostics (R-hat, ESS, divergences) for the MCMC samples and comparing the results obtained from ADVI and NUTS to understand the reliability of the different inference methods for this model and dataset.
Exploratory Analysis: Including steps for basic data exploration such as summary statistics, correlation analysis, and time trends of key variables.
The project highlights the importance of using robust MCMC methods like NUTS for complex models, especially when simpler approximations like ADVI might yield conflicting conclusions, and includes steps to improve sampler performance and assess convergence.