cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7947707
title: Macroalgal genomics illuminate three paths to multicellularity - Supplementary Data - Tables - Data S4

description: Macroalgae are multicellular, aquatic autotrophs that play vital roles in global climate maintenance and have diverse applications in biotechnology and eco-engineering, which are directly linked to their multicellularity phenotypes. However, their genomic diversity and the evolutionary mechanisms underlying multicellularity in these organisms remain uncharacterized. Here, we sequenced 112 macroalgal genomes from diverse climates and phyla, identifying key genomic features that distinguish them from their microalgal relatives. We found that macroalgae have expanded gene families related to cellular adhesion, extracellular matrix formation, cytoskeletal organization and signaling pathways. We discovered that many of these genes have viral origins and are lineage-specific or conserved among the three major macroalgal phyla: Rhodophyta (red algae), Chlorophyta (green algae) and Ochrophyta (brown algae). Our work reveals genetic determinants of convergent and divergent evolutionary trajectories that have shaped morphological diversity in macroalgae and provides genome-wide frameworks to understand photosynthetic multicellular evolution in marine environments.

Table S1. Functional annotation and metadata for macroalgal species. This is a multi-sheet Excel workbook containing the PFAM count matrix for decontaminated assemblies and their strain metadata, contamination estimates, assembly metrics including BUSCO and N50 scores, and source data for the ternary analysis. Related to Figs. 2 and 3.

Table S2. GO enrichment in macroalgal-specific genes. This is a multi-sheet Excel workbook containing enriched GO terms in macroalgal-specific PFAMs conserved in Rhodophyta, Ochrophyta, and Chlorophyta and response screening results comparing means in PFAM counts between divisions. Related to Fig. 3.

Table S3. Comparative genomics of micro- and macroalgae. This is a multi-sheet Excel workbook containing response screening tables comparing PFAM and GO variation in micro- compared to macroalgae. Related to Fig. 4.

Table S4. Unraveling the macroalgal adhesome. This is a multi-sheet Excel workbook containing macroalgal adhesome atlas and response screens among macroalgal phyla and between micro- and macroalgae. Related to Fig. 4.

Table S5. Endogenous viral elements in macroalgae. This is a multi-sheet Excel workbook containing VFAM count matrix and response screening results for comparisons of macroalgal VFAM counts by climate and habitat. This table also includes the EVOP matrix and response screening results comparing EVOPs found in the macroalgal genomes among climates and macroalgal tORFs with EsV-1-7 domains and their codomains. Related to Fig. 5.
DOI: 10.5281/zenodo.10264338
title: Base datos segundo y tercer año 13_15_Teoría de la Educación EDU2012-32725.sav

description: Base de datos de 426 sujetos, formada por tres grupos de alumnos (los grupos vienen recogidos en la primera variable de la base de datos). El primer grupo (grupo 1), correspondiente al curso académico 2012-13, de 65 sujetos, está formado, a su vez, por dos subgrupos; el primer grupo corresponde al profesor A y el segundo al profesor B (los profesores se recogen en la cuarta de las variables). El segundo (grupo 2), correspondiente al curso académico 2013-14, de 181 sujetos, está formado, a su vez, por tres subgrupos de alumnos; el primer grupo corresponde al profesor A , el segundo al profesor B y el tercero al profesor C (los profesores se recogen en la cuarta de las variables). El tercero (grupo 3), correspondiente al curso académico 2014-15, de 180 sujetos, también está formado por tres subgrupos de alumnos; el primer grupo corresponde al profesor A , el segundo al profesor B y el tercero al profesor C (los profesores se recogen en la cuarta de las variables).
La muestra, de la asignatura de Teoría de la Educación, cursada en 1º curso de los grados de Educación Social y Pedagogía de la Universidad de Valencia, se usó para analizar el impacto de la aplicación de métodos centrados en el aprendizaje, sobre los enfoques de aprendizaje de los alumnos de estos grupos y sobre sus capacidades y su percepción del entorno de aprendizaje articulado por sus profesores.
Los datos correspondientes al curso 2012-13 se tomaron de los alumnos en situación de postest, una vez acabada la docencia de la materia en cuestión, usando en ella metodología más bien tradicional, para tener puntuaciones de anclaje de cara a los siguientes cursos, En los dos cursos siguientes (2013-14 y 2014-15) se aplicaron a los tres grupos de la materia Teoría de la Educación métodos centrados en el aprendizaje y se pasó, cada uno de los cursos, pretest y postest, con un diseño transversal, ya que los alumnos eran diferentes cada curso.
En este trabajo se quería valorar la influencia de los métodos centrados en el aprendizaje sobre los enfoques de aprendizaje y sobre diversas capacidades/habilidades de tres grupos de alumnos (426 sujetos) de 1º curso de los grados de Pedagogía y Educación Social de la Universidad de Valencia en la asignatura de Teoría de la Educación. Se utilizó un diseño cuasiexperimental de grupo de control no equivalente, con medidas de postest en el grupo de control y de pretest y postest en los grupos experimentales, evaluando los enfoques de aprendizaje mediante  el cuestionario  CPE y las capacidades del alumno mediante el cuestionario SEQ. 
La base de datos, en SPSS 17.0, está integrada por 50 variables, siendo las cuatro primeras nominales y las restantes escalares, con valores que van de 1 (máximo desacuerdo) a 5 (máximo acuerdo). De la variable 5 a la 16 recogen resultados del cuestionario CPE, que evalúa los enfoques de aprendizaje del alumnado. 
En el fichero que se ha subido, en txt, junto a la base de datos, se explican las variables y otras cuestiones relativas a la base de datos.
DOI: 10.5281/zenodo.10581324
title: Reduction of NQO1 S82D by NADH

description: Raw data published in: Pacheco-Garcia JL, Anoz-Carbonell E, Vankova P, Kannan A, Palomino-Morales R, Mesa-Torres N, Salido E, Man P, Medina M, Naganathan AN, Pey AL. Structural basis of the pleiotropic and specific phenotypic consequences of missense mutations in the multifunctional NAD(P)H:quinone oxidoreductase 1 and their pharmacological rescue. Redox Biol. 2021 Oct;46:102112. doi: 10.1016/j.redox.2021.102112. Epub 2021 Aug 18. PMID: 34537677; PMCID: PMC8455868.

Data measured using a stopped-flow spectrophotometer from Applied Photophysics (SX.18MV, Applied Photophysics Ltd., Leatherhead, UK) interfaced with a photodiode array detector and under anaerobic conditions, following previously established protocols. Multiple wavelength absorption data in the flavin absorption region (400-900 nm) were collected and processed using the ProData-SX software (Applied Photophysics Ltd.). Time-dependent spectral deconvolution was performed by global analysis and numerical integration methods using Pro-Kineticist (Applied Photophysics Ltd.). Collected data were fitted to either single- or multi-step (A→B→n….→Z) models allowing for estimation of the corresponding observed conversion rate constants at each NADH concentration, as well of the spectra of intermediate and final species.

NQO1ox S82D (7.5 μM) was mixed with NADH at concentrations ranging from 1:1 to 1:14 NQO1ox:NADH ratio. Reactions were studied in 20 mM HEPES-KOH, pH 7.4 with glucose/glucose oxidase (310 mM/10 units/mL), at 25 C.

Spectral evolution of NQO1 reductive half-reaction with NADH at different concentrations. Files are numbered from 1 to 7 representing the following NADD concentrations: 7.5, 10, 15, 20, 30, 50 and 100 uM of NADH.
DOI: 10.48443/svh0-n604
title: Sediment chemical and physical properties (DP1.20194.001)
title: RELEASE-2024

description: This data product contains the quality-controlled, native sampling resolution data from NEON's aquatic sediment collection and field metadata, as well as associated chemical data (nutrients, carbon, heavy metals) and physical properties (sediment size and texture) provided by a contracted lab. Organic contaminants were analyzed prior to 2020. In 2022, sediment began to be archived for future analysis. Sediment field samples are collected in wadeable streams, rivers, and lakes 2 times per year (spring and fall). Samples are collected from several depositional zones, homogenized, subsampled, and shipped to an external lab. For additional details, see the user guide, protocols, and science design listed in the Documentation section in this data product's details webpage.

Latency:
The expected time from data and/or sample collection in the field to data publication is as follows, for each of the data tables (in days) in the downloaded data package. See the Data Product User Guide for more information.

asc_externalLabData: 90

asc_externalLabSummary: 14

asc_fieldDataPoint: 30

asc_fieldDataStation: 30

asc_fieldDataZone: 30
description: Sediment samples are collected from 2 stations at each site: at wadeable streams and non-wadeable (large river) sites are divided in half longitudinally and sediment is collected throughout each half (approx. 500 m reach per station). In lakes, there are also 2 stations, the first near the buoy (the deep center point in the basin, called ‘c0’ meaning ‘center’), and the second near the near-shore infrastructure (about 1-2 m deep, called ‘in’ meaning ‘in-shore’). Within each station, sediments are collected and homogenized from depositional zones at both stations 2 times per year during the spring and fall aquatic biological sampling bouts. Homogenized aggregate samples are subsampled and shipped to an external lab for analysis, or to the NEON Biorepository for archiving. Instrumentation:
DOI: 10.48443/9qpc-5v70
title: Shortwave and longwave radiation (net radiometer) (DP1.00023.001)
title: RELEASE-2024

description: The four components of net radiation, available as one- and thirty-minute averages of 1 Hz observations. Net radiation is the balance between incoming and outgoing shortwave and longwave radiation on a horizontal plane at the Earth's surface. This data product provides observations of incoming shortwave, outgoing shortwave, incoming longwave, and outgoing longwave radiation.

Latency:
Data collected in any given month are published during the second full week of the following month.
description: Observations of incoming shortwave, outgoing shortwave, incoming longwave, and outgoing longwave radiation are made by a 4-component sensor located at the top of the tower infrastructure as well as on the aquatic met station, while only longwave radiation components are observed in the soil array. Instrumentation: Hukseflux NR01 Net Radiometer
DOI: 10.48443/wbf6-4h53
title: Shortwave and longwave radiation above water on-buoy (net radiometer) (DP1.20032.001)
title: RELEASE-2024

description: Net shortwave and longwave radiation on buoys is measured every minute and is reported as 1-minute instantaneous measurements and 30-minute mean values. Other than the data collection frequency, this data product has the same data streams and processing as net radiation at aquatic met stations and on the terrestrial instrument towers.

Latency:
Data collected in any given month are published during the second full week of the following month.
description: The buoys are comprised of sensor sets which measure meteorological parameters over a water surface along with submerged sensors that measure physical and chemical parameters of the water body. Some of these sensors are unique to the buoy subsystem and others are shared with other NEON subsystems, such as the wadeable stream sensor sets or terrestrial towers. Due to power, space, and data storage constraints on the buoy, the configuration of sensors deployed on a buoy may be different than those in other parts of NEON. Instrumentation: Hukseflux NR01 Net Radiometer
DOI: 10.48443/rk6w-kt91
title: Shortwave radiation (direct and diffuse pyranometer) (DP1.00014.001)
title: RELEASE-2024

description: Total, direct, and diffuse shortwave radiation, available as one- and thirty-minute averages of 1 Hz observations. Direct radiation, also called direct beam radiation, is the solar radiation traveling in a straight line from the sun to a plane at the Earth's surface oriented perpendicular to the sun's rays. Diffuse radiation is the solar radiation scattered by particles in the atmosphere and received at a horizontal plane at the Earth's surface. Diffuse radiation comes from the entire sky dome, whereas direct radiation comes from a single direction. Total solar radiation is the sum of direct and diffuse solar radiation received at a horizontal plane at the Earth's surface.

Latency:
Data collected in any given month are published during the second full week of the following month.
description: Observations are made by a sensor located at the top of the tower infrastructure. Instrumentation: Delta-T Devices SPN1 Sunshine Pyranometer
DOI: 10.48443/fkmf-3439
title: Shortwave radiation (primary pyranometer) (DP1.00022.001)
title: RELEASE-2024

description: Total incoming solar shortwave radiation, available as one- and thirty-minute averages of 1 Hz observations. Shortwave radiation is composed of ultraviolet, visible, and a portion of infra-red wavelengths. Total shortwave radiation, also called global radiation, is the incendent shortwave solar radiation (direct and diffuse) received on a horizontal plane at the Earth's surface.

Latency:
Data collected in any given month are published during the second full week of the following month.
description: The primary pyranometer is housed in a heated and aspirated ventilation unit at the top of the tower infrastructure. Instrumentation: Kipp and Zonen CMP22 Pyranometer
DOI: 10.48443/9p2t-hj77
title: Site management and event reporting (DP1.10111.001)
title: RELEASE-2024

description: This data product contains records of land management activities, disturbances, and other incidents of ecological note within all NEON sites. Records are reported about management activities and disturbances that have the potential to impact or affect data products across all NEON data-generating systems (TIS, TOS, AIS, AOS, and AOP) that are not collected as part of existing data product protocols. For additional details, see the user guide, protocols, and science design listed in the Documentation section in this data product's details webpage.

Latency: The expected time from data and/or sample collection in the field to data publication is as follows, for each of the data tables (in days) in the downloaded data package. See the Data Product User Guide for more information.

sim_eventData: 60
description: Site management activity and disturbance reporting occurs at the time NEON staff are aware of the planned or unplanned event, either through direct observation during normal scheduled site visits or secondary reports from landowners, site hosts, and other reliable sources. For planned events, reporting is expected to occur only after the management activity has been started. For unplanned events, data recording takes place as soon as the disturbance is observed as well as when it is safe to assess the scale and intensity of the impact. Instrumentation:
DOI: 10.48443/ypnz-e179
title: Small mammal sequences DNA barcode (DP1.10076.001)
title: RELEASE-2024

description: This data product contains the quality-controlled laboratory metadata and QA results for NEON's cytochrome oxidase I (COI) barcoding of small mammal sequences. The DNA barcoding procedure involves the non-distructive collection of tissue from live specimens in the field, extracting and sequencing DNA from the tissue, and matching that sequence data to sequences from previously identified voucher specimens. DNA analysis serves a number of purposes, including verification of taxonomy of specimens that do not receive expert identification, clarification of the taxonomy of rare or cryptic species, and characterization of diversity using molecular markers. For additional details, see the user guide, protocols, and science design listed in the Documentation section in this data product's details webpage. These queries will also provide links to the actual sequence data, which are publicly available on the [Barcode of Life Data System](http://www.boldsystems.org/) (BOLD) website. The sequence data can be obtained by following the links from the NEON data portal, or by directly querying NEON data sets on the BOLD server. From the NEON portal, the link "BOLD Project: Small Mammal sequences DNA barcode" redirects to a page on the BOLD public data portal for the queried data. This is a dynamic link and will automatically update based on the user query.

Latency:
The expected time from data and/or sample collection in the field to data publication is as follows, for each of the data tables (in days) in the downloaded data package. See the Data Product User Guide for more information.

mam_BOLDcollectionData: 375

mam_BOLDspecimenDetails: 375

mam_BOLDtaxonomy: 375

mam_BOLDvoucherInfo: 375
description: Up to 240 ear punches will be collected from each target and opportunistic species per site per year. These tissues will be preserved in an appropriate tissue vial and up to 95 tissue samples per domain will be shipped to an external lab. DNA will be extracted and target sequences amplified via PCR. Barcodes of cytochrome oxidase I will be generated per specimen. Instrumentation:
DOI: 10.48443/k5tg-n992
title: Soil heat flux plate (DP1.00040.001)
title: RELEASE-2024

description: Soil heat flux is the amount of thermal energy that moves by conduction across an area of soil in a unit of time and usually expressed in Watts per square meter. This data product represents the soil heat flux at the locations of the heat flux plates below the soil surface. It is reported as 1-minute mean measurements and 30-minute mean values. Sensors were initially installed at ~8 cm deep at most sites and are in the process of being moved to ~5 cm deep.

Latency:
Data collected in any given month are published during the second full week of the following month.
description: The soil heat flux data product is available at all NEON TIS sites. At each site, soil heat flux sensors are distributed within three of the five soil plots within the TIS soil array. Instrumentation: Hukseflux HFP01SC: Self-Calibrating Heat Flux Sensor
DOI: 10.48443/6p0f-r630
title: Soil microbe community composition (DP1.10081.001)
title: RELEASE-2024

description: This data product contains the quality-controlled laboratory data and metadata for NEON's soil bacterial, archaeal, and fungal community composition analysis derived from soil microbial sampling. Taxon tables are derived from the 16S and ITS marker gene sequencing data product, NEON.DP1.10108. The DNA sequence data are processed using standard bioinformatics software to generate taxonomic data. For additional details, see the user guide, protocols, and science design listed in the Documentation section in this data product's details webpage.

Latency:
The expected time from data and/or sample collection in the field to data publication is as follows, for each of the data tables (in days) in the downloaded data package. See the Data Product User Guide for more information.

mcc\_soilSeqVariantMetadata\_16S: 730

mcc\_soilSeqVariantMetadata\_ITS: 730

mcc\_taxonTableLabSummary: 7
description: Soil sampling occurs annually at a minimum of one site per domain and once (sites with short growing seasons) to three times per year (sites with longer growing seasons), with collections occurring at every sampled site during the historic peak in vegetation greenness. Three pre-determined, randomly assigned locations are selected for each sampling event within each of 10 plots distributed throughout a site; sampling locations within a plot are not re-sampled. Soil samples are collected to a maximum depth of 30 cm, with organic and mineral soils sampled separately. The same samples are used for measurement of soil physical and chemical properties to maintain temporal and spatial connectivity. Subsamples of homogenized soil (rocks, roots and organic debris removed) from each of the 3 sampling locations are stored in sterile containers, frozen on dry ice in the field and shipped to an analytical facility for DNA sequence analysis using primer sets targeting the small subunit of the ribosomal RNA gene. Sequence data undergo QAQC and are processed bioinformatically using an in-house pipeline to identify unique sequence variants in the data and to taxonomically identify each sequence variant. Instrumentation:
DOI: 10.48443/gjze-9158
title: Soil microbe group abundances (DP1.10109.001)
title: RELEASE-2024

description: This data product contains the quality-controlled laboratory data and metadata for NEON's soil bacterial, archaeal, and fungal group abundances analysis, which are derived from soil microbial sampling. Group abundances are quantified via qPCR on frozen, field-collected soils. For additional details, see protocol [NEON.DOC.014048](http://data.neonscience.org/api/v0/documents/NEON.DOC.014048vJ): TOS Protocol and Procedure for Soil Biogeochemical and Microbial Sampling; and science design [NEON.DOC.000908](http://data.neonscience.org/api/v0/documents/NEON.DOC.000908vB): TOS Science Design for Terrestrial Microbial Diversity.

Latency:
The expected time from data and/or sample collection in the field to data publication is as follows, for each of the data tables (in days) in the downloaded data package. See the Data Product User Guide for more information.

mga_batchResults: 14

mga_labSummary: 14

mga_soilGroupAbundances: 240
description: This data product was discontinued as of June 2020. Three predetermined, randomly assigned locations are selected for each sampling event within each of 10 plots distributed throughout a site; sampling locations within a plot are not re-sampled. Soil sampling occurs once (sites with short growing seasons) to three times a year (sites with longer growing seasons), with all sites sampled during the historic peak in vegetation greenness. Soil samples are collected to a maximum depth of 30 cm, with organic and mineral soils sampled separately. Subsamples of homogenized soil (rocks, roots and organic debris removed) from each of the 3 sampling locations are stored in sterile containers, frozen on dry ice in the field and shipped to an analytical facility for DNA extraction, sample preparation and qPCR analysis uses primer sets targeting the small subunit of the ribosomal RNA gene. Instrumentation: