cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.26684418.v1
title: Additional file 3 of Interactions between maternal parity and feed additives drive the composition of pig gut microbiomes in the post-weaning period

description: Additional file 3. Sow reproductive performance. Average preweaning mortalities and number of piglets liveborn are listed for each maternal parity group, as well as for all sows in the study combined. Data is presented as average counts with standard deviation, with significant differences denoted with differing letter superscripts (t-test, P &lt; 0.05).
DOI: 10.6084/m9.figshare.26684421
title: Additional file 4 of Interactions between maternal parity and feed additives drive the composition of pig gut microbiomes in the post-weaning period

description: Additional file 4. Effects of dietary treatment group on nursery pig ADG and ADFI. Average overall nursery ADG and ADFI are listed for each treatment, as well as averages of weekly ADFI. ADG was calculated by dividing total nursery weight gain by the number of d in the study (42 d). ADFI was calculated on a weekly basis by dividing feed disappearance by the number of pigs in each pen. Pooled standard error for each metric is also listed. Significant differences among dietary treatment groups are denoted with differing letter superscripts (P&lt;0.05).
DOI: 10.6084/m9.figshare.26684421.v1
title: Additional file 4 of Interactions between maternal parity and feed additives drive the composition of pig gut microbiomes in the post-weaning period

description: Additional file 4. Effects of dietary treatment group on nursery pig ADG and ADFI. Average overall nursery ADG and ADFI are listed for each treatment, as well as averages of weekly ADFI. ADG was calculated by dividing total nursery weight gain by the number of d in the study (42 d). ADFI was calculated on a weekly basis by dividing feed disappearance by the number of pigs in each pen. Pooled standard error for each metric is also listed. Significant differences among dietary treatment groups are denoted with differing letter superscripts (P&lt;0.05).
DOI: 10.6084/m9.figshare.26684424
title: Additional file 5 of Interactions between maternal parity and feed additives drive the composition of pig gut microbiomes in the post-weaning period

description: Additional file 5. Discriminant taxa between parity groups for sow vaginal microbiomes at weaning (d 0). Listed taxa were selected on the basis of having indicator value scores of at least 0.5, and significant differences (Wilcoxon test, P &lt; 0.05) in average relative abundances between parity groups. Group designations of P or M represent the parity group (Primiparous or Multiparous) the listed taxa is enriched in. P-values represent One-tailed Wilcoxon tests between parity groups. Listed taxa are identified to the genus (g) level, or represent unidentified genera within the listed family (f), order (o), class (c), or phylum (p), where applicable.
DOI: 10.6084/m9.figshare.26684424.v1
title: Additional file 5 of Interactions between maternal parity and feed additives drive the composition of pig gut microbiomes in the post-weaning period

description: Additional file 5. Discriminant taxa between parity groups for sow vaginal microbiomes at weaning (d 0). Listed taxa were selected on the basis of having indicator value scores of at least 0.5, and significant differences (Wilcoxon test, P &lt; 0.05) in average relative abundances between parity groups. Group designations of P or M represent the parity group (Primiparous or Multiparous) the listed taxa is enriched in. P-values represent One-tailed Wilcoxon tests between parity groups. Listed taxa are identified to the genus (g) level, or represent unidentified genera within the listed family (f), order (o), class (c), or phylum (p), where applicable.
DOI: 10.6084/m9.figshare.26684427
title: Additional file 6 of Interactions between maternal parity and feed additives drive the composition of pig gut microbiomes in the post-weaning period

description: Additional file 6. Discriminant taxa between parity groups for sow gut microbiomes at weaning (d 0). Listed taxa were selected on the basis of having indicator value scores of at least 0.5, and significant differences (Wilcoxon test, P &lt; 0.05) in average relative abundances between parity groups. Group designations of P or M represent the parity group (Primiparous or Multiparous) the listed taxa is enriched in. Taxa are sorted by parity group and then by indicator value. P-values represent One-tailed Wilcoxon tests between parity groups. Listed taxa are identified to the genus (g) level, or represent unidentified genera within the listed family (f), order (o), class (c), or phylum (p), where applicable.
DOI: 10.6084/m9.figshare.26684427.v1
title: Additional file 6 of Interactions between maternal parity and feed additives drive the composition of pig gut microbiomes in the post-weaning period

description: Additional file 6. Discriminant taxa between parity groups for sow gut microbiomes at weaning (d 0). Listed taxa were selected on the basis of having indicator value scores of at least 0.5, and significant differences (Wilcoxon test, P &lt; 0.05) in average relative abundances between parity groups. Group designations of P or M represent the parity group (Primiparous or Multiparous) the listed taxa is enriched in. Taxa are sorted by parity group and then by indicator value. P-values represent One-tailed Wilcoxon tests between parity groups. Listed taxa are identified to the genus (g) level, or represent unidentified genera within the listed family (f), order (o), class (c), or phylum (p), where applicable.
DOI: 10.6084/m9.figshare.26684430
title: Additional file 7 of Interactions between maternal parity and feed additives drive the composition of pig gut microbiomes in the post-weaning period

description: Additional file 7. Discriminant taxa among dietary treatment groups for primiparous offspring gut microbiomes. Listed taxa were selected on the basis of having indicator value scores of at least 0.5, and significant differences (Kruskal Wallis, P &lt; 0.05) in average relative abundances between parity groups. Treatment designations represent the dietary treatment group the listed taxa is enriched in. If a group is not listed, no discriminant taxa with the listed criteria were observed. Taxa are sorted by treatment group and then by indicator value for each time-point. P-values represent Kruskal Wallis tests among treatment groups. Listed taxa are identified to the genus (g) level, or represent unidentified genera within the listed family (f), order (o), class (c), or phylum (p), where applicable.
DOI: 10.6084/m9.figshare.26684430.v1
title: Additional file 7 of Interactions between maternal parity and feed additives drive the composition of pig gut microbiomes in the post-weaning period

description: Additional file 7. Discriminant taxa among dietary treatment groups for primiparous offspring gut microbiomes. Listed taxa were selected on the basis of having indicator value scores of at least 0.5, and significant differences (Kruskal Wallis, P &lt; 0.05) in average relative abundances between parity groups. Treatment designations represent the dietary treatment group the listed taxa is enriched in. If a group is not listed, no discriminant taxa with the listed criteria were observed. Taxa are sorted by treatment group and then by indicator value for each time-point. P-values represent Kruskal Wallis tests among treatment groups. Listed taxa are identified to the genus (g) level, or represent unidentified genera within the listed family (f), order (o), class (c), or phylum (p), where applicable.
DOI: 10.6084/m9.figshare.26684433
title: Additional file 8 of Interactions between maternal parity and feed additives drive the composition of pig gut microbiomes in the post-weaning period

description: Additional file 8. Discriminant taxa among dietary treatment groups for multiparous offspring gut microbiomes. Listed taxa were selected on the basis of having indicator value scores of at least 0.5, and significant differences (Kruskal Wallis, P &lt; 0.05) in average relative abundances between parity groups. Treatment designations represent the dietary treatment group the listed taxa is enriched in. If a group is not listed, no discriminant taxa with the listed criteria were observed. Taxa are sorted by treatment group and then by indicator value for each time-point. P-values represent Kruskal Wallis tests among treatment groups. Listed taxa are identified to the genus (g) level, or represent unidentified genera within the listed family (f), order (o), class (c), or phylum (p), where applicable.
DOI: 10.6084/m9.figshare.26684433.v1
title: Additional file 8 of Interactions between maternal parity and feed additives drive the composition of pig gut microbiomes in the post-weaning period

description: Additional file 8. Discriminant taxa among dietary treatment groups for multiparous offspring gut microbiomes. Listed taxa were selected on the basis of having indicator value scores of at least 0.5, and significant differences (Kruskal Wallis, P &lt; 0.05) in average relative abundances between parity groups. Treatment designations represent the dietary treatment group the listed taxa is enriched in. If a group is not listed, no discriminant taxa with the listed criteria were observed. Taxa are sorted by treatment group and then by indicator value for each time-point. P-values represent Kruskal Wallis tests among treatment groups. Listed taxa are identified to the genus (g) level, or represent unidentified genera within the listed family (f), order (o), class (c), or phylum (p), where applicable.
DOI: 10.15468/dl.vq3rv4
title: Occurrence Download

description: A dataset containing 2020297795 species occurrences available in GBIF matching the query:
{
 "Year" : [
 "2012-2024"
 ]
}

 The dataset includes 2020297795 records from 46897 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072825-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uxjtkd
title: Occurrence Download

description: A dataset containing 67 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Vespidae",
 "Year is 1906",
 "Continent is North America",
 "HasCoordinate is true"
 ]
}

 The dataset includes 67 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040205-250920141307145/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.30265828
title: Dataset & Results

description: regression analysis, structural break, monetary variables, macroeconomic variables
DOI: 10.6084/m9.figshare.30265828.v1
title: Dataset & Results

description: regression analysis, structural break, monetary variables, macroeconomic variables
DOI: 10.15468/dl.y6g46w
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Saudi Arabia",
 "TaxonKey is Eudromias morinellus"
 ]
}

 The dataset includes 5 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040206-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.m6ad5c
title: Occurrence Download

description: A dataset containing 71 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Diponthus crassus"
 ]
}

 The dataset includes 71 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040207-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xv95kd
title: Occurrence Download

description: A dataset containing 123 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-48.64177 -25.14955,-40.06434 -25.14955,-40.06434 -20.10662,-48.64177 -20.10662,-48.64177 -25.14955))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Chusquea pinifolia"
 ]
}

 The dataset includes 123 records from 34 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040208-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2hby8k
title: Occurrence Download

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

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040209-250920141307145/datasets/export for details.
DOI: 10.71819/8hws8v
title: UFS | Coleção de Invertebrados da UFS - Peracarida

description: A coleção de Peracarida da Universidade Federal de Sergipe faz parte da Coleção de Invertebrados (CINUFS): engloba diversos acervos dos principais grupos de invertebrados aquáticos nas regiões de estuários, praias, plataforma e talude continental do estado de Sergipe e Alagoas.
DOI: 10.17028/rd.lboro.30265867
title: Supplementary information files for "Synthesis and RAFT polymerisation of hydrophobic acrylamide monomers derived from plant oils"

description: Supplementary files for article "Synthesis and RAFT polymerisation of hydrophobic acrylamide monomers derived from plant oils"<br><br>Polymeric materials based on fatty acids (FAs) have a combination of characteristics (alkene groups, hydrophobicity, tuneable <i>T</i><sub>g)</sub> that give them great potential as renewable, high value materials. Here, we investigate the base catalysed transesterification of four different plant oils (high oleic sunflower, olive, hydrogenated coconut and hydrogenated rapeseed) with <i>N</i>-hydroxyethyl acrylamide. By conducting kinetics experiments, investigating potential side reactions and improving isolation of the target products, we were able to identify reactive impurities (radical inhibitors, unintended co-monomers) that were found to remain in the impure brine washed plant oil-based monomers (POBM). Kinetics experiments were then performed to investigate the RAFT polymerisation of these monomers. It was found that the more sustainable brine washing process was viable for the controlled radical polymerisation of the higher <i>k</i><sub>p </sub><sub>app</sub><sub> </sub>(saturated) monomers, however column purification was necessary for good control of unsaturated monomers. Polymers with values of <i>M</i><sub>n </sub>between 3000 and 12 000 g mol<sup>−1 </sup>were synthesised and dependent on the FA source exhibited either amorphous or semi-crystalline behaviour (<i>T</i><sub>g</sub><sub> </sub>values between −1 and 33 °C, <i>T</i><sub>m </sub>values between 48 and 66 °C). This work demonstrates the first example of RAFT polymerisation of acrylamide monomers derived from plant oils by a one step direct transesterification, opening the door for novel well-defined, functional bio-based polymers.<br><br>© Royal Society of Chemistry, CC BY 3.0<br>
DOI: 10.17028/rd.lboro.30265867.v1
title: Supplementary information files for "Synthesis and RAFT polymerisation of hydrophobic acrylamide monomers derived from plant oils"

description: Supplementary files for article "Synthesis and RAFT polymerisation of hydrophobic acrylamide monomers derived from plant oils"<br><br>Polymeric materials based on fatty acids (FAs) have a combination of characteristics (alkene groups, hydrophobicity, tuneable <i>T</i><sub>g)</sub> that give them great potential as renewable, high value materials. Here, we investigate the base catalysed transesterification of four different plant oils (high oleic sunflower, olive, hydrogenated coconut and hydrogenated rapeseed) with <i>N</i>-hydroxyethyl acrylamide. By conducting kinetics experiments, investigating potential side reactions and improving isolation of the target products, we were able to identify reactive impurities (radical inhibitors, unintended co-monomers) that were found to remain in the impure brine washed plant oil-based monomers (POBM). Kinetics experiments were then performed to investigate the RAFT polymerisation of these monomers. It was found that the more sustainable brine washing process was viable for the controlled radical polymerisation of the higher <i>k</i><sub>p </sub><sub>app</sub><sub> </sub>(saturated) monomers, however column purification was necessary for good control of unsaturated monomers. Polymers with values of <i>M</i><sub>n </sub>between 3000 and 12 000 g mol<sup>−1 </sup>were synthesised and dependent on the FA source exhibited either amorphous or semi-crystalline behaviour (<i>T</i><sub>g</sub><sub> </sub>values between −1 and 33 °C, <i>T</i><sub>m </sub>values between 48 and 66 °C). This work demonstrates the first example of RAFT polymerisation of acrylamide monomers derived from plant oils by a one step direct transesterification, opening the door for novel well-defined, functional bio-based polymers.<br><br>© Royal Society of Chemistry, CC BY 3.0<br>
DOI: 10.60508/61j3-d906
title: Automated extraction of stroke severity from unstructured electronic health records using natural language processing

description: ### Background

Multicenter electronic health records can support quality improvement and
comparative effectiveness research in stroke. However, limitations of
electronic health record-based research include challenges in abstracting key
clinical variables, including stroke severity, along with missing data. We
developed a natural language processing model that reads electronic health
record notes to directly extract the National Institutes of Health Stroke
Scale score when documented and predict the score from clinical documentation
when missing.

### Methods and Results

The study included notes from patients with acute stroke (aged ≥18 years)
admitted to Massachusetts General Hospital (2015-2022). The Massachusetts
General Hospital data were divided into training/holdout test (70%/30%) sets.
We developed a 2‐stage model to predict the admission National Institutes of
Health Stroke Scale, obtained from the GWTG (Get With The Guidelines) stroke
registry. We trained a model with the least absolute shrinkage and selection
operator. For test notes with documented National Institutes of Health Stroke
Scale, scores were extracted using regular expressions (stage 1); when not
documented, least absolute shrinkage and selection operator was used for
prediction (stage 2). The 2‐stage model was tested on the holdout test set and
validated in the Medical Information Mart for Intensive Care (2001-2012)
version 1.4, using root mean squared error and Spearman correlation. We
included 4163 patients (Massachusetts General Hospital, 3876; Medical
Information Mart for Intensive Care, 287); average age, 69 (SD, 15) years; 53%
men, and 72% White individuals. The model achieved a root mean squared error
of 2.89 (95% CI, 2.62-3.19) and Spearman correlation of 0.92 (95% CI,
0.91-0.93) in the Massachusetts General Hospital test set, and 2.20 (95% CI,
1.69-2.66) and 0.96 (95% CI, 0.94-0.97) in the MIMIC validation set,
respectively.

### Conclusions

The automatic natural language processing-based model can enable large‐scale
stroke severity phenotyping from the electronic health record and support
real‐world quality improvement and comparative effectiveness studies in
stroke.
DOI: 10.60508/gbcr-e844
title: Automated extraction of stroke severity from unstructured electronic health records using natural language processing

description: ### Background

Multicenter electronic health records can support quality improvement and
comparative effectiveness research in stroke. However, limitations of
electronic health record-based research include challenges in abstracting key
clinical variables, including stroke severity, along with missing data. We
developed a natural language processing model that reads electronic health
record notes to directly extract the National Institutes of Health Stroke
Scale score when documented and predict the score from clinical documentation
when missing.

### Methods and Results

The study included notes from patients with acute stroke (aged ≥18 years)
admitted to Massachusetts General Hospital (2015-2022). The Massachusetts
General Hospital data were divided into training/holdout test (70%/30%) sets.
We developed a 2‐stage model to predict the admission National Institutes of
Health Stroke Scale, obtained from the GWTG (Get With The Guidelines) stroke
registry. We trained a model with the least absolute shrinkage and selection
operator. For test notes with documented National Institutes of Health Stroke
Scale, scores were extracted using regular expressions (stage 1); when not
documented, least absolute shrinkage and selection operator was used for
prediction (stage 2). The 2‐stage model was tested on the holdout test set and
validated in the Medical Information Mart for Intensive Care (2001-2012)
version 1.4, using root mean squared error and Spearman correlation. We
included 4163 patients (Massachusetts General Hospital, 3876; Medical
Information Mart for Intensive Care, 287); average age, 69 (SD, 15) years; 53%
men, and 72% White individuals. The model achieved a root mean squared error
of 2.89 (95% CI, 2.62-3.19) and Spearman correlation of 0.92 (95% CI,
0.91-0.93) in the Massachusetts General Hospital test set, and 2.20 (95% CI,
1.69-2.66) and 0.96 (95% CI, 0.94-0.97) in the MIMIC validation set,
respectively.

### Conclusions

The automatic natural language processing-based model can enable large‐scale
stroke severity phenotyping from the electronic health record and support
real‐world quality improvement and comparative effectiveness studies in
stroke.
DOI: 10.15468/dl.8ejpcw
title: Occurrence Download

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

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040210-250920141307145/datasets/export for details.
DOI: 10.6084/m9.figshare.30265924
title: Quadro 2 – Síntese da organização dos arquivos manipulados e criados neste item

description: Dataset apresentado no Quadro 2 – Síntese da organização dos arquivos manipulados e criados neste item do artigo "Glossários médicos multilíngues para CAT Tools: desenvolvimento baseado na CID-11 da OMS ".
DOI: 10.6084/m9.figshare.30265924.v1
title: Quadro 2 – Síntese da organização dos arquivos manipulados e criados neste item

description: Dataset apresentado no Quadro 2 – Síntese da organização dos arquivos manipulados e criados neste item do artigo "Glossários médicos multilíngues para CAT Tools: desenvolvimento baseado na CID-11 da OMS ".
DOI: 10.15468/dl.5cqbhz
title: Occurrence Download

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

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040211-250920141307145/datasets/export for details.
DOI: 10.15468/dl.z8aabu
title: Occurrence Download

description: A dataset containing 36 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is one of (Description of two new species in the Ixodes ricinus complex from the New World (Acari: Ixodidae), and redescription of Ixodes affinis Neumann, 1899)"
 ]
}

 The dataset includes 36 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040212-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.