cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.7274/28578875.v1
title: Fabrication of Adsorptive Polymer System by Vapor-Induced Phase Separation and 3D-Printing

description: Adsorption-based separations have the potential to improve the sustainability of established industrial processes and support the adoption of new practices. They offer solutions for isolating resources from non-traditional sources and remediating hazardous environmental contaminants. Significant opportunities exist to advance fundamental polymer science and engineering applications through next-generation adsorbent systems. Insights from macro and micromolecular architecture, polymer physics, and materials processing reveal how these interrelationships can impact the performance of sorbent systems. To address the demand for separations capable of isolating trace analytes from complex mixtures, sorbents with structures tailored from the molecular to the device scale are necessary.
This dissertation explores various polymer and solvent systems to develop symmetric or asymmetric adsorptive membranes with high capacity and permeability using vapor-induced phase separation techniques. By replacing traditional toxic solvents to bio-renewable solvents to achieve comparable performance, this research contributes to greener chemistry practices and enhances process sustainability. In addition to commercial polymers, the study investigates synthetic polymers and diverse functionalization methods to address different separation goals. Once successful at the molecular and microscale levels, direct-ink-writing 3D-printing is combined with the VIPS process to produce hierarchically structured sorbents, allowing for tailored morphology at the device scale.
Morphology and performance characterizations are conducted to demonstrate the feasibility of achieving hierarchical sorbent structures. The experimental design, image and video analyses, and binding capacity tests developed in this study can be adapted to other systems. The insights gained from creating these sorbents have the potential to enhance numerous separation processes and provide valuable perspectives on overcoming permeability and capacity tradeoff, understanding phase separation mechanisms and expanding printable polymer systems.
DOI: 10.15468/oyrrdz
title: Autoecología de las lagartijas de arena Uma paraphygas y Uma exsul (Sauria: Phrynosomatidae) en las dunas del Bolsón de Mapimí

description: Uma es el único género de lagartijas restringido únicamente a los depósitos eólicos de arena. Las tres especies de este taxón que viven en el sudoeste de Estados Unidos han sido estudiadas en mayor profundidad. No obstante, se conoce muy poco de las dos especies endémicas mexicanas Uma esxual y Uma paraphygas las cuales viven en el centro del Desierto Chihuahuense. Se ha detectado que la variabilidad genética de Uma es extremadamente baja (reflejo de la elevada consanguinidad), encontrándose la mayor erosión genética en las dos especies mexicanas. La importancia de este trabajo de autoecología radica en que puede servir como modelo para estudiar la respuesta de diversos parámetros poblacionales (fluctuaciones de la densidad, biomasa, sobrevivencia, ámbito hogareño, etc.) en especies que presentan muy poca variabilidad genética, una distribución geográfica puntual y están sujetas a un solo hábitat. Asimismo a partir del monitoreo y estimación de varias características poblacionales en estos dos lacertilios, se pondrá una estrategia para conservar algunos ecosistemas de dunas en donde habiten. Uma exsual requiere de una urgente protección, debido tanto a las causas mencionadas arriba como al crecimiento del cordón agrícola e industrial en la región de "La Laguna", que paulatinamente ha ido envolviendo a la pequeña zona de dunas en donde habita este reptil. Ligado a esto, la escasa diversidad vegetal y la poca cobertura de la misma en estos ecosistemas, determina que sean muy frágiles a las múltiples alteraciones a las que esta siendo sujeto su hábitat. Uma paraphygas aunque habita en la zona de amortiguación de la Reserva de la Biósfera de Mapimí, ha sido poco estudiada y requiere de un monitoreo poblacional constante, debido a que se ha detectado que el número de organismos adultos en las poblaciones es muy bajo y las zonas donde habita están siendo sujetas a una fuerte presión de pastoreo por el ganado que pisa y afecta considerablemente los mocrohábitats en donde vive esta especie.Reino: 1
Filo: 1
Clase: 1
Orden: 1
Familia: 1
Género: 1
Especie: 2
DOI: 10.60740/0wma-vx61
title: Salmon and Steelhead Conservation Unit Boundaries
DOI: 10.15468/dl.hyzu7b
title: Occurrence Download

description: A dataset listing the 1 species recorded in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is Greenland",
 "MediaType is Image",
 "TaxonKey is Saxifraga oppositifolia L."
 ]
}

 The dataset's 1 records were derived from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000786-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13755752
title: POSEIDON Input Files

description: This repository contains the input files required by the POSEIDON atmospheric retrieval code. The input files consist of molecular, atomic, and ionic cross sections, Mie scattering aerosol properties, model grids of stellar spectra, and a chemical equilibrium grid. 

See the installation instructions for the next steps after the download is complete. 

 

v1.3





No changes to the input files from v1.2.



v1.2





Added a Mie scattering database of aerosol optical properties.

Updated POSEIDON gas-phase opacity database.

Both databases are described on a new documentation page: POSEIDON Opacity Database.



v1.1





Added a chemical equilibrium grid computed with Fastchem 2.

New, simplified, input file structure used by POSEIDON v1.1.

One download, easier installation.
DOI: 10.15468/dgmxss
title: Base de datos de la flora de la Reserva de la Biosfera Chamela-Cuixmala, Jalisco, México

description: Se propone el estudio detallado de la reserva de la Biósfera Chamela-Cuixmala, la cual se ubica en el estado de Jalisco, municipio de la Huerta, comprende una superficie de alrededor de 13,142 ha, y está considerada como parte del área prioritaria para ser estudiada 97, de la clasificación de la CONABIO. Este proyecto se integrará una base de datos de esta reserva, alrededor de 6 000 registros de al menos dos fuentes, 1) los herbarios ENCB, MEXU y parte de MICH, Y 2) así como del programa sistemático de colecta, que se llevará a cabo a través de las épocas de lluvias y sequía y el cual se espera produzca alrededor de 3 000 colecciones. Finalmente, se pretende brindar información precisa a cerca de la distribución de especies clave, y áreas con importantes congregaciones de diversidad. Lo anterior con el fin de brindar elementos para establecer una zona núcleo real sobre bases objetivas.Reino: 1
Filo: 1
Clase: 2
Orden: 36
Familia: 100
Género: 373
Subgénero: 7
Especie: 586
Epitetoinfraespecifico: 29
DOI: 10.5281/zenodo.14037044
title: Full-length and split homologs of human proteins in the gut microbiome

description: These files were generated as part of the manuscript "Human xenobiotic metabolism proteins have full-length and split homologs in the gut microbiome" (submitted).

The .tar file contains .ipc files that are tables of full-length (full_humcover3.ipc) and split homologs (part_humcover3.ipc) of human proteins in the gut microbiome, organized by alignment coverage threshold. For example, the directory `HumanUPR_0.67_src_20000_70` contains results obtained at a 67% alignment coverage threshold for the bacterial protein, and 70% for the human protein. Note that our pipeline collapses full-length alignments to the same UHGP-90 protein family into a single entry per species, with the number of genomes reported in the column nGenomes. Split homologs are not collapsed because genomic context is used to define them, and this context may differ across individual genomes.

These files are in Arrow IPC format, which provides compression and fast I/O for large tables. We recommend reading them using pola.rs or the R Arrow package. In particular, because the full-length homolog table is large, you may wish to work with it without loading it into memory, which can be accomplished using scan_ipc in pola.rs or open_dataset in R Arrow.

We also provide gzipped .csv format datasets of full-length (pgkb_FH_drugs.csv.gz) and split (pgkb_SH_drugs.csv.gz) homologs, at the default 67% alignment coverage threshold for bacterial and 70% for human proteins, organized by their PharmGKB annotations. For each drug annotated in PharmGKB as being metabolized by a human protein with full-length or split homologs, we provide the human protein(s) responsible, its xenobiotic enzyme class, the bacterial protein homolog(s), length and percent identity of the alignment, and either the specific genome (g, split homologs only) or the number of genomes (nGenomes, full homologs only). Xenobiotic enzyme classes are defined as in Figure 4 of the manuscript, with the additional classes "nucl" (nucleobase-containing metabolic proteins not annotated to any other class), "redox" (oxidoreductases not annotated to any other class), and "other" (all remaining proteins).
DOI: 10.5281/zenodo.14037045
title: Full-length and split homologs of human proteins in the gut microbiome

description: These files were generated as part of the manuscript "Human xenobiotic metabolism proteins have full-length and split homologs in the gut microbiome" (submitted).

The .ipc files are tables of full-length (full_humcover3.ipc) and split homologs (part_humcover3.ipc) of human proteins in the gut microbiome. Note that our pipeline collapses full-length alignments to the same UHGP-90 protein family into a single entry per species, with the number of genomes reported in the column nGenomes. Split homologs are not collapsed because genomic context is used to define them, and this context may differ across individual genomes.

These files are in Arrow IPC format, which provides compression and fast I/O for large tables. We recommend reading them using pola.rs or the R Arrow package. In particular, because the full-length homolog table is large, you may wish to work with it without loading it into memory, which can be accomplished using scan_ipc in pola.rs or open_dataset in R Arrow.

We also provide gzipped .csv format datasets of full-length (pgkb_FH_drugs.csv.gz) and split (pgkb_SH_drugs.csv.gz) homologs organized by their PharmGKB annotations. For each drug annotated in PharmGKB as being metabolized by a human protein with full-length or split homologs, we provide the human protein(s) responsible, its xenobiotic enzyme class, the bacterial protein homolog(s), length and percent identity of the alignment, and either the specific genome (g, split homologs only) or the number of genomes (nGenomes, full homologs only). Xenobiotic enzyme classes are defined as in Figure 3 of the manuscript, with the additional classes "nucl" (nucleobase-containing metabolic proteins not annotated to any other class), "redox" (oxidoreductases not annotated to any other class), and "other" (all remaining proteins).
DOI: 10.5281/zenodo.15127224
title: Full-length and split homologs of human proteins in the gut microbiome

description: These files were generated as part of the manuscript "Human xenobiotic metabolism proteins have full-length and split homologs in the gut microbiome" (submitted).

The .tar file contains .ipc files that are tables of full-length (full_humcover3.ipc) and split homologs (part_humcover3.ipc) of human proteins in the gut microbiome, organized by alignment coverage threshold. For example, the directory `HumanUPR_0.67_src_20000_70` contains results obtained at a 67% alignment coverage threshold for the bacterial protein, and 70% for the human protein. Note that our pipeline collapses full-length alignments to the same UHGP-90 protein family into a single entry per species, with the number of genomes reported in the column nGenomes. Split homologs are not collapsed because genomic context is used to define them, and this context may differ across individual genomes.

These files are in Arrow IPC format, which provides compression and fast I/O for large tables. We recommend reading them using pola.rs or the R Arrow package. In particular, because the full-length homolog table is large, you may wish to work with it without loading it into memory, which can be accomplished using scan_ipc in pola.rs or open_dataset in R Arrow.

We also provide gzipped .csv format datasets of full-length (pgkb_FH_drugs.csv.gz) and split (pgkb_SH_drugs.csv.gz) homologs, at the default 67% alignment coverage threshold for bacterial and 70% for human proteins, organized by their PharmGKB annotations. For each drug annotated in PharmGKB as being metabolized by a human protein with full-length or split homologs, we provide the human protein(s) responsible, its xenobiotic enzyme class, the bacterial protein homolog(s), length and percent identity of the alignment, and either the specific genome (g, split homologs only) or the number of genomes (nGenomes, full homologs only). Xenobiotic enzyme classes are defined as in Figure 4 of the manuscript, with the additional classes "nucl" (nucleobase-containing metabolic proteins not annotated to any other class), "redox" (oxidoreductases not annotated to any other class), and "other" (all remaining proteins).
DOI: 10.15468/dl.mrtz4f
title: Occurrence Download

description: A dataset containing 15443 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Antilocapra americana (Ord, 1815)",
 "Year 1850-2025"
 ]
}

 The dataset includes 15443 records from 101 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000791-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/slyg47
title: Monitoreo y uso del hábitat de aves neárticas y neotropicales asociados a ambientes acuáticos litorales en el municipio de Tomatlán, Jalisco, México

description: El presente proyecto, si bien forma parte de un programa más ambicioso e integral, esta orientado principalmente al desarrollo de estudios básicos para conocer el estado actual de las poblaciones de aves neárticas y neotropicales asociadas a humedales costeros del municipio de Tomatlán, Jalisco. Este aspecto es importante para entender la interrelación que presentan las comunidades de aves entre los esteros. Además este trabajo servirá como una contribución para describir hábitats y especies asociadas a los sitios de anidación de las tortugas marinas, ya que en esta área se encuentra "La Zona de Reserva y Sitio de Refugio en el Playón de Mismaloya", considerada como una de las principales áreas de anidación para la tortuga golfina. El trabajo pretende dar información sobre las especies de aves neárticas y neotropicales relacionadas a las principales lagunas y estuarios que forman el municipio de Tomatlán. De igual forma se pretende conocer la variación espacio-temporal de las aves migratorias y residentes y la importancia que representan los diferentes humedales costeros de Tomatlán para las comunidades que de ellos dependen. Por tal motivo la participación de la CONABIO es importante ya que sea visto que en la zona hay varias especies que se encuentran en la lista de especies amenazadas y en peligro de extinción.Reino: 1
Filo: 1
Clase: 1
Orden: 9
Familia: 19
Género: 54
Especie: 94
DOI: 10.25345/c5348gv1b
title: MassIVE MSV000097498 - GNPS chemical ecology project network
title: Crude extract from Boca Florida-extracted March 2025
DOI: 10.15468/dl.48q75x
title: Occurrence Download

description: A dataset containing 173620 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Country is one of (Canada, Mexico, United States of America)",
 "EventDate is greater than or equal to 2025-03-08",
 "EventDate is less than or equal to 2025-04-07",
 {
 "not" : {
 "Issue" : [
 "is one of (Basis of record invalid, Coordinate reprojection failed, Coordinate reprojection suspicious, Coordinate precision invalid, Coordinate uncertainty meters invalid, Country mismatch, Country invalid, Geodetic datum invalid, Presumed swapped coordinate, Presumed negated longitude, Presumed negated latitude, Country coordinate mismatch)"
 ]
 }
 }
 ]
}

 The dataset includes 173620 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000783-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13020/jw25-8560
title: Data and R-code for "Aquatic Macrophyte and Water Quality Response to Aluminum Sulfate Treatments"

description: This study examines data from 6 lakes in Minnesota and 2 in Wisconsin to assess the response of aquatic plants and water quality to aluminum sulfate (alum) treatments. The dataset spans from 2011 to 2023 and includes measurements of total epilimnetic phosphorus, Secchi depths, and the frequency of native and invasive macrophyte species. Data were collected directly by project personnel but we also include data provided by project collaborators that were used in the formal analysis. Additional data collected by project personnel, including all point intercept aquatic plant data, temperature, light and dissolved oxygen profiles, and additional water chemistry data are included to facilitate further analysis in the future. Results indicate a marked reduction in total epilimnetic phosphorus levels and improved water clarity (Secchi) after alum treatment, with notable increases in native macrophyte occurrence. Invasive species such as curly-leaf pondweed decreased after alum treat, while Eurasian watermilfoil exhibited variable responses. This comprehensive dataset highlights the effectiveness of alum treatments in enhancing water quality and supporting macrophyte health, with considerations for ongoing invasive species management.
description: The dataset spans from 2011 to 2023 and includes a data file of water quality (total epilimnetic phosphorus, Secchi depths), a data file of Submersed aquatic plant data (frequency of occurrence of native and invasive macrophyte species) and files with statistical output reported in Hembre 2024. Additional data collected by project personnel, including all point intercept aquatic plant data, temperature, light and dissolved oxygen profiles, and additional water chemistry data are provided to facilitate further analysis in the future.
DOI: 10.15468/vi3kxf
title: Fortalecimiento del herbario SERO

description: El herbario SERO se creo en el año 2000, con especímenes recolectados desde 1981 en proyectos llevados a cabo por SERBO, A.C. Los especímenes con que cuenta son casi exclusivamente del estado de Oaxaca, a la fecha se tienen poco más de 16 000 especímenes integrados al herbario, todos ya en base de datos. Actualmente el rezago que se tiene es en la determinación taxonómica, en el montaje de al menos 10 000 especímenes, 5 000 colectados en varios proyectos de SERBO Y 5 000 especímenes de intercambio provenientes de varios herbarios, estos también deben ser capturados en la base de datos del herbario, así como la optimización del espacio en el herbario con infraestructura adecuada y equipo.Reino: 1
Filo: 1
Clase: 5
Orden: 62
Familia: 217
Género: 1158
Subgénero: 17
Especie: 2902
Epitetoinfraespecifico: 75
DOI: 10.15468/dl.r5qcfb
title: Occurrence Download

description: A dataset containing 138283 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((119.52693 11.49629,119.32083 11.4085,117.11343 8.53942,117.09263 8.38741,117.19743 8.30914,117.36435 8.41439,117.66021 8.39302,119.65031 10.29514,119.7315 10.50478,119.72436 10.56114,119.77028 10.71029,119.76465 11.0469,119.52693 11.49629))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 138283 records from 294 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000755-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pv2d2m
title: Occurrence Download

description: A dataset containing 1468633 records in GBIF matching the query:
SELECT
 kingdom,
 kingdomkey,
 phylum,
 phylumkey,
 class,
 classkey,
 "order",
 orderkey,
 family,
 familykey,
 genus,
 genuskey,
 species,
 specieskey,
 PRINTF('%04d-%02d', "year", "month") yearmonth,
 IF(ISNULL(kingdomkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY kingdomkey, PRINTF('%04d-%02d', "year", "month"))) kingdomcount,
 IF(ISNULL(phylumkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY phylumkey, PRINTF('%04d-%02d', "year", "month"))) phylumcount,
 IF(ISNULL(classkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY classkey, PRINTF('%04d-%02d', "year", "month"))) classcount,
 IF(ISNULL(orderkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY orderkey, PRINTF('%04d-%02d', "year", "month"))) ordercount,
 IF(ISNULL(familykey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY familykey, PRINTF('%04d-%02d', "year", "month"))) familycount,
 IF(ISNULL(genuskey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY genuskey, PRINTF('%04d-%02d', "year", "month"))) genuscount,
 COUNT(*) occurrences,
 MIN(GBIF_TEMPORALUNCERTAINTY(eventdate, eventtime)) mintemporaluncertainty,
 MIN(COALESCE(coordinateuncertaintyinmeters, 1000)) mincoordinateuncertaintyinmeters
FROM
 occurrence
WHERE
 occurrence.countrycode = 'CO'
 AND occurrence.occurrencestatus = 'PRESENT'
 AND (occurrence.specieskey IS NOT NULL AND occurrence."year" IS NOT NULL AND occurrence."month" IS NOT NULL)
GROUP BY
 occurrence.kingdom,
 occurrence.kingdomkey,
 occurrence.phylum,
 occurrence.phylumkey,
 occurrence.class,
 occurrence.classkey,
 occurrence."order",
 occurrence.orderkey,
 occurrence.family,
 occurrence.familykey,
 occurrence.genus,
 occurrence.genuskey,
 occurrence.species,
 occurrence.specieskey,
 PRINTF('%04d-%02d', "year", "month")

 The dataset's 1468633 records were derived from 3765 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000787-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vz543a
title: Occurrence Download

description: A dataset listing the 2 species recorded in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-115.98162 -15.38478,-24.01838 -15.38478,-24.01838 21.38478,-115.98162 21.38478,-115.98162 -15.38478))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Arawacus lincoides (Draudt, 1917)"
 ]
}

 The dataset's 2 records were derived from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0246164-230224095556074/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.26015212.v1
title: n vitro evaluation of antifungal combinations against neurotropic dematiaceous fungi associated with primary cerebral phaeohyphomycosis (Supplemental_data_tables_S1-S20)

description: This research evaluated the in vitro activities of nine antifungal drugs and their combinations against neurotropic melanized fungi associated with cerebral phaeohyphomycosis. To our knowledge, this is the first study to assess the in vitro activities of 13 double and five triple antifungal combinations against three common causative agents of fungal brain abscess in humans. We developed and standardized a simple and cost-effective method of testing double and triple combinations of antifungal agents, using a modified version of checkerboard assay. This dataset shows the drug dilution scheme and final microplate configurations for antifungal combinations in two- and three-dimensional checkerboard assays.