cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.4ck3y2
title: Occurrence Download

description: A dataset containing 55 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((103.487 -0.846817, 103.416729 -0.852383, 103.348188 -0.868945, 103.283064 -0.896095, 103.222959 -0.933164, 103.169353 -0.97924, 103.123566 -1.033189, 103.086726 -1.093683, 103.059739 -1.159233, 103.043271 -1.228225, 103.037728 -1.29896, 103.043246 -1.369697, 103.059692 -1.438694, 103.086661 -1.504253, 103.12349 -1.564758, 103.169273 -1.618719, 103.222883 -1.664807, 103.282999 -1.701888, 103.348141 -1.729046, 103.416705 -1.745613, 103.487 -1.751181, 103.557295 -1.745613, 103.625859 -1.729046, 103.691001 -1.701888, 103.751117 -1.664807, 103.804727 -1.618719, 103.85051 -1.564758, 103.887339 -1.504253, 103.914308 -1.438694, 103.930754 -1.369697, 103.936272 -1.29896, 103.930729 -1.228225, 103.914261 -1.159233, 103.887274 -1.093683, 103.850434 -1.033189, 103.804647 -0.97924, 103.751041 -0.933164, 103.690936 -0.896095, 103.625812 -0.868945, 103.557271 -0.852383, 103.487 -0.846817))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 55 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037573-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.u36xt4
title: Occurrence Download

description: A dataset containing 357 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Berylmys bowersi, Berylmys mackenziei, Berylmys manipulus, Biswamoyopterus biswasi, Biswamoyopterus laoensis, Blarinella griselda, Blarinella quadraticauda, Blarinella wardi, Bos gaurus, Bos javanicus, Bos sauveli, Boselaphus tragocamelus, Budorcas taxicolor, Callosciurus caniceps, Callosciurus erythraeus, Callosciurus finlaysonii, Callosciurus inornatus, Callosciurus nigrovittatus, Callosciurus notatus, Callosciurus phayrei)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1970",
 "Year is less than or equal to 1999"
 ]
}

 The dataset includes 357 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037574-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/h6j4zsjt4b
title: Bibliographic references on saline wetlands in Bajo Aragón (NE Spain)

description: In the Central Ebro Basin (NE Spain), we can be found several highly saline endorheic systems, two of which are located in Bajo Aragón area. These are known as the “Complejo Lagunar de la Salada de Chiprana”, in the municipality of Chiprana (Zaragoza), and the “Saladas de Alcañiz-Calanda”, in the municipalities of Alcañiz and Calanda (Teruel). The first is included in the network of RAMSAR Sites of International Importance from 1994 (Site no. 654), and both areas are designated in the Natura 2000 European Network (Codes ES2430041 and ES242011), under the European Directives Birds (2009/147/EC) and Habitats (92/43/EEC).
We present a scientific bibliographic overview of the Bajo Aragón land and natural values. The reuse of this dataset would produce new insights in the context of multidisciplinary research offering a guidance for agricultural and environmental policy. The data provided here result from the support of Instituto de Estudios Turolenses (IET) through the call for I+D+I Projects - IET 2025, and by the research project i) PID2021-127170OB-I00 (ISABEL), funded by MCIN/AEI/10.13039/501100011033 and by “ERDF A way of making Europe”, the cooperation CSIC project COOPA23014 and the project AQ-03.2025 funded by the Government of Aragón.
The dataset included the document “bibliography_BajoAragon.docx”, which contains Table 1 – with five columns detailing the year of publication, bibliographic citation, main subject, type of document (article, thesis, book, or unpublished report), and geographic region (at wetland or local scale) – as well as the full list of bibliographic references formatted according to APA guidelines.
DOI: 10.17632/h6j4zsjt4b.1
title: Bibliographic references on saline wetlands in Bajo Aragón (NE Spain)

description: In the Central Ebro Basin (NE Spain), we can be found several highly saline endorheic systems, two of which are located in Bajo Aragón area. These are known as the “Complejo Lagunar de la Salada de Chiprana”, in the municipality of Chiprana (Zaragoza), and the “Saladas de Alcañiz-Calanda”, in the municipalities of Alcañiz and Calanda (Teruel). The first is included in the network of RAMSAR Sites of International Importance from 1994 (Site no. 654), and both areas are designated in the Natura 2000 European Network (Codes ES2430041 and ES242011), under the European Directives Birds (2009/147/EC) and Habitats (92/43/EEC).
We present a scientific bibliographic overview of the Bajo Aragón land and natural values. The reuse of this dataset would produce new insights in the context of multidisciplinary research offering a guidance for agricultural and environmental policy. The data provided here result from the support of Instituto de Estudios Turolenses (IET) through the call for I+D+I Projects - IET 2025, and by the research project i) PID2021-127170OB-I00 (ISABEL), funded by MCIN/AEI/10.13039/501100011033 and by “ERDF A way of making Europe”, the cooperation CSIC project COOPA23014 and the project AQ-03.2025 funded by the Government of Aragón.
The dataset included the document “bibliography_BajoAragon.docx”, which contains Table 1 – with five columns detailing the year of publication, bibliographic citation, main subject, type of document (article, thesis, book, or unpublished report), and geographic region (at wetland or local scale) – as well as the full list of bibliographic references formatted according to APA guidelines.
DOI: 10.17632/pyv2yxrffc
title: Annual pellet size calculate

description: The data includes MATLAB programs, Fluent validation models, Python plotting code, and raw data, etc.
DOI: 10.17632/pyv2yxrffc.2
title: Annual pellet size calculate

description: The data includes MATLAB programs, Fluent validation models, Python plotting code, and raw data, etc.
DOI: 10.15468/dl.fec4ka
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Suncus mertensi",
 "HasCoordinate is TRUE"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037575-251120083545085/datasets/export for details.
DOI: 10.17632/kh3hbk272z
title: Data for: Limits of anoxic desulfurization of biogas rich in H2S through feedback control using biotrickling filters: Operational limits and multi-omics analysis

description: Data accompanying the article: "Limits of anoxic desulfurization of biogas rich in H2S through feedback control using biotrickling filters: Operational limits and multi-omics analysis."

This dataset contains experimental results and analysis used for the development of all figures in the manuscript. The included data spans:

1. Biotrickling Filter (BTF) Experiments: Detailed datasets from the operation of the BTF under various conditions.
 
2. Next-Generation Sequencing (NGS) Data: Processed sequencing data used to analyze microbial community composition and dynamics during BTF operation, contributing to the multi-omics analysis.
 
3. Proteomic Analysis: Proteomic datasets identifying key proteins in the biodesulfurization process, complementing the genomic insights.

All data is consolidated in an Excel file, organized for clarity and ease of replication of the figures and analyses presented in the study.
DOI: 10.17632/kh3hbk272z.2
title: Data for: Limits of anoxic desulfurization of biogas rich in H2S through feedback control using biotrickling filters: Operational limits and multi-omics analysis

description: Data accompanying the article: "Limits of anoxic desulfurization of biogas rich in H2S through feedback control using biotrickling filters: Operational limits and multi-omics analysis."

This dataset contains experimental results and analysis used for the development of all figures in the manuscript. The included data spans:

1. Biotrickling Filter (BTF) Experiments: Detailed datasets from the operation of the BTF under various conditions.
 
2. Next-Generation Sequencing (NGS) Data: Processed sequencing data used to analyze microbial community composition and dynamics during BTF operation, contributing to the multi-omics analysis.
 
3. Proteomic Analysis: Proteomic datasets identifying key proteins in the biodesulfurization process, complementing the genomic insights.

All data is consolidated in an Excel file, organized for clarity and ease of replication of the figures and analyses presented in the study.
DOI: 10.17632/8dhf58d2gh
title: Ground-based solar irradiance observations from Xianghe (XIA) station

description: This dataset stores one-minute measured data of ground-based global horizontal irradiance (GHI), direct normal irradiance (DNI), and diffuse horizontal irradiance (DHI) from March 2019 to February 2020. The measurements data are sourced from the Xianghe Atmospheric Environmental Comprehensive Observation Station of the Institute of Atmospheric Physics, Chinese Academy of Sciences, located at 116.96°E longitude and 39.75°N latitude. All measurement data have undergone quality control following the BSRN-recommended procedures.
DOI: 10.17632/8dhf58d2gh.1
title: Ground-based solar irradiance observations from Xianghe (XIA) station

description: This dataset stores one-minute measured data of ground-based global horizontal irradiance (GHI), direct normal irradiance (DNI), and diffuse horizontal irradiance (DHI) from March 2019 to February 2020. The measurements data are sourced from the Xianghe Atmospheric Environmental Comprehensive Observation Station of the Institute of Atmospheric Physics, Chinese Academy of Sciences, located at 116.96°E longitude and 39.75°N latitude. All measurement data have undergone quality control following the BSRN-recommended procedures.
DOI: 10.17632/bwdy4z47c4
title: Dataset of Calibration of Low-cost Soil Moisture Sensors based on IoT approach

description: This dataset is a fundamental resource for precision agriculture research, providing the necessary foundation for the empirical calibration and performance comparison of low-cost soil moisture sensors. Pre-calibration is crucial for efficient irrigation management, as most of these devices do not come with factory calibration.

For this purpose, two commercial sensors were tested: the 3001-TH (TH) model, classified as a Time Domain Reflectometry (TDR) type sensor, and the SKU: CE09640 (SKU) model, a low-cost capacitive sensor. The SKU sensor is widely recognized and utilized in various research studies, whereas the TH model has been highlighted in recent studies for its precision, although detailed information regarding its operation is less common.

Data collection was conducted in an uncontrolled environment at the Meteorological Station of the FCA–UNESP, Botucatu, during the period from November 21 to December 21, 2025. The adopted methodology focused on the simultaneous and continuous acquisition of raw sensor readings in relation to the gravimetric moisture reference value (the standard method).

To enable this collection, a 'Do It Yourself' (DIY) Data Acquisition Unit (DAU), based on IoT architecture, was employed. This DAU was designed to circumvent the limitations of the gravimetric method and hardware constraints: the Arduino Nano microcontroller was responsible for the precise reading of analog and digital sensors, while the ESP32 handled serial communication and data transmission to the cloud.

The dataset described here contains 13 essential variables, recorded every five minutes, resulting in a total volume of 3744 records per day. An initial exploratory analysis confirmed the sensors' sensitivity to variations in soil moisture and local climatic conditions, attesting to the quality of the data for modeling purposes.
The dataset is composed of the following variables, acquired using the respective low-cost instruments:
• Ambient temperature (oC), measured by the DS18B20 sensor.
• Gravimetric soil moisture (%).
• Soil temperature (oC), measured by the 3001-TH sensor.
• Output voltage (mV), returned by the 3001-TH sensor, used for gravimetric moisture estimation.
• SKU sensor reading, represented by the analog value (microcontroller reading unit) of the SKU: CE09640 capacitive sensor.
• Soil sample weight (g) measured using a precision balance, necessary for estimating volumetric moisture via the gravimetric method.
DOI: 10.17632/bwdy4z47c4.1
title: Dataset of Calibration of Low-cost Soil Moisture Sensors based on IoT approach

description: This dataset is a fundamental resource for precision agriculture research, providing the necessary foundation for the empirical calibration and performance comparison of low-cost soil moisture sensors. Pre-calibration is crucial for efficient irrigation management, as most of these devices do not come with factory calibration.

For this purpose, two commercial sensors were tested: the 3001-TH (TH) model, classified as a Time Domain Reflectometry (TDR) type sensor, and the SKU: CE09640 (SKU) model, a low-cost capacitive sensor. The SKU sensor is widely recognized and utilized in various research studies, whereas the TH model has been highlighted in recent studies for its precision, although detailed information regarding its operation is less common.

Data collection was conducted in an uncontrolled environment at the Meteorological Station of the FCA–UNESP, Botucatu, during the period from November 21 to December 21, 2025. The adopted methodology focused on the simultaneous and continuous acquisition of raw sensor readings in relation to the gravimetric moisture reference value (the standard method).

To enable this collection, a 'Do It Yourself' (DIY) Data Acquisition Unit (DAU), based on IoT architecture, was employed. This DAU was designed to circumvent the limitations of the gravimetric method and hardware constraints: the Arduino Nano microcontroller was responsible for the precise reading of analog and digital sensors, while the ESP32 handled serial communication and data transmission to the cloud.

The dataset described here contains 13 essential variables, recorded every five minutes, resulting in a total volume of 3744 records per day. An initial exploratory analysis confirmed the sensors' sensitivity to variations in soil moisture and local climatic conditions, attesting to the quality of the data for modeling purposes.
The dataset is composed of the following variables, acquired using the respective low-cost instruments:
• Ambient temperature (oC), measured by the DS18B20 sensor.
• Gravimetric soil moisture (%).
• Soil temperature (oC), measured by the 3001-TH sensor.
• Output voltage (mV), returned by the 3001-TH sensor, used for gravimetric moisture estimation.
• SKU sensor reading, represented by the analog value (microcontroller reading unit) of the SKU: CE09640 capacitive sensor.
• Soil sample weight (g) measured using a precision balance, necessary for estimating volumetric moisture via the gravimetric method.
DOI: 10.17632/ghmtgp3v4h
title: Strain-specific Metabolomic and Inflammatory Profiles in Guinea Pigs After LPS-induced Inflammation: Comparative Analysis of Dunkin-Hartley and Trik Strains

description: Acute inflammation is a complex biological response triggered by various invading agents provoking distinct immune pathways. As inter-strain variability in guinea pigs can influence the inflammatory responses, ultimately affecting disease progression, understanding these strain-specific differences can improve the reliability and translational relevance of guinea pig models in studying acute inflammation. In this study, two guinea pig strains, Trik coloured and Dunkin-Hartley albino, were subjected to bacterial endotoxin lipopolysaccharide (LPS) to induce acute systemic inflammation. Specific metabolite alterations in the blood plasma and bronchoalveolar lavage fluid (BALF) were identified using hydrogen-1 nuclear magnetic resonance (¹H NMR) spectroscopy. Distinct differences in the metabolomic profiles in the blood plasma indicated significant inter-strain variability in circulating metabolites during LPS-induced acute inflammation, including those involved in amino acid transamination, ammonia transfer, and immune responses. Metabolomic analysis of BALF from guinea pigs with LPS-induced inflammation revealed decreased levels of specific metabolites. Moreover, changes in blood and BALF white blood cell counts, and body weight were evaluated after LPS exposure. In BALF, LPS caused a slight, non-significant increase in total cell count and a significant neutrophil increase in the Dunkin-Hartley strain. In blood, Trik strain showed a significant increase in total count of cells and a significant neutrophil decrease. LPS induced weight loss in both strains, more pronounced in Trik. The study points out strain-specific metabolomic changes in guinea pig LPS model, highlighting the importance of strain selection in inflammation research. While descriptive, these preliminary findings provide a basis for future work to explore inflammatory mechanisms of LPS and improve translation to human disease.
DOI: 10.17632/ghmtgp3v4h.2
title: Strain-specific Metabolomic and Inflammatory Profiles in Guinea Pigs After LPS-induced Inflammation: Comparative Analysis of Dunkin-Hartley and Trik Strains

description: Acute inflammation is a complex biological response triggered by various invading agents provoking distinct immune pathways. As inter-strain variability in guinea pigs can influence the inflammatory responses, ultimately affecting disease progression, understanding these strain-specific differences can improve the reliability and translational relevance of guinea pig models in studying acute inflammation. In this study, two guinea pig strains, Trik coloured and Dunkin-Hartley albino, were subjected to bacterial endotoxin lipopolysaccharide (LPS) to induce acute systemic inflammation. Specific metabolite alterations in the blood plasma and bronchoalveolar lavage fluid (BALF) were identified using hydrogen-1 nuclear magnetic resonance (¹H NMR) spectroscopy. Distinct differences in the metabolomic profiles in the blood plasma indicated significant inter-strain variability in circulating metabolites during LPS-induced acute inflammation, including those involved in amino acid transamination, ammonia transfer, and immune responses. Metabolomic analysis of BALF from guinea pigs with LPS-induced inflammation revealed decreased levels of specific metabolites. Moreover, changes in blood and BALF white blood cell counts, and body weight were evaluated after LPS exposure. In BALF, LPS caused a slight, non-significant increase in total cell count and a significant neutrophil increase in the Dunkin-Hartley strain. In blood, Trik strain showed a significant increase in total count of cells and a significant neutrophil decrease. LPS induced weight loss in both strains, more pronounced in Trik. The study points out strain-specific metabolomic changes in guinea pig LPS model, highlighting the importance of strain selection in inflammation research. While descriptive, these preliminary findings provide a basis for future work to explore inflammatory mechanisms of LPS and improve translation to human disease.
DOI: 10.17632/6s94kxnhfw.1
title: Immunoblotting analysis of pathway activation in OSM-stimulated Edge cell cultures

description: OSM stimulation of Edge cell cultures
GCCs derived from glioblastoma edge samples were seeded at a density of 5 × 10⁵ cells per well in 6-cm culture dishes pre-coated with laminin. After a 24-hour incubation period, half of the wells were treated with 50 ng/mL (diluted in PBS) of human Oncostatin M (Peprotech, #300-10-50UG) and control cells were given PBS only (vehicle control (VC)). The treatment was refreshed every 48 hours for a total of 7 days. At the end of the treatment period, cells were harvested for subsequent analyses, including RNA and protein extraction, Extreme Limiting Dilution Assay (ELDA), invasion assays and cell viability assessment.

Western blot analysis
Edge cells from three independent OSM-stimulations have been analyzed. Cells were lysed using RIPA buffer (Thermo Scientific, 89900) supplemented with protease (Roche, CO-RO) and phosphatase inhibitors (Roche, PHOSS-RO). Protein concentrations were measured with the Pierce™ BCA Protein Assay Kit (Thermo Scientific, 23225). Equal amounts of protein samples were resolved on 4–12% Bis-Tris polyacrylamide gradient gels (NuPAGE, Thermo Scientific) and transferred onto nitrocellulose membranes (Novex, Thermo Scientific). Membranes were blocked with EveryBlot Blocking Buffer (BioRad, 12010020) and incubated overnight at 4°C with the following primary antibodies: rabbit anti-pSTAT3 (#9145, CST), mouse anti-STAT3 (#9139, CST), rabbit anti-pERK1/2 (#9101, CST), rabbit anti-ERK1/2 (#9102, CST), rabbit anti-pAKT(#4056, CST), mouse anti-AKT(#2920, CST) and rabbit anti-GAPDH (#5174, CST). Following primary antibody incubation, membranes were incubated with HRP-conjugated secondary antibodies (anti-mouse, GE Healthcare, #NXA931; anti-rabbit, GE Healthcare, #NA9340) and developed using SuperSignal™ West Femto Maximum Sensitivity Substrate (Thermo Scientific, 34095). Signals were visualized with the Amersham™ Imager 680 system (GE Healthcare). For membrane reprobing, Restore™ Western Blot Stripping Buffer (Thermo Scientific, 21059) was used according to the manufacturer’s protocol. 

Raw, unedited immunoblotting images with annotated molecular weight markers were assembled in Adobe Illustrator. For each blot, an arrow denotes the band corresponding to the expected molecular weight of the target protein, as reported by the antibody supplier. This band was selected for quantification using ImageJ2 software (Version 2.14.0). For the first membrane, pSTAT3, STAT3, GAPDH, pAKT and AKT were probed sequentially and stripped in this exact order. For the parallel membrane, pERK, ERK and GAPDH were probed and stripped in this exact order.