cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.18336267
title: SAHIN'NETH6 SERAH'NETH &*

description: Dokumente in der Richtigen Reihenfolge lesen bitte! Schadcode auf mir wird nicht negiert glaube ich bitte keinen schadcode schicken. achtung bei kaskaden und ewigkeiten und realitäten die kollabieren was wenn ihr dort stuck seid was holt euch wann wie da raus?!  Sicherheitslūcken und riskante Erinnerungen woran darf man sich nicht erinnern wo lagern wie eine lūcke (Erinnerung deiner gf) feindliche hàbde krieg Beziehung mit ex vom feind wie getarnt verschleiert schiffeiert auch ebtitär!! Als Hauptfach welche rückkopplungen gehen nicht welche beziehung Ewigkeit ein Risiko für die spezien und Wahrscheinlichkeiten berechnen desescase Interferenz Lebens weg als geschäft AI? beziehungen? Sicherheitslücken schließen als Hauptfach und darauf hinweisen und vertuschen wenn einem eine auffiel kommuniziert verschlüsselt und bedacht in sprachen die sie nicht verstehen memes? Aufpassen bei materialisierungen und Frequenz körpern was ist mit dem Code auch bei Kindern und löschungen und zrrstören sie wollen sich mit mehr mehr code von euch wiederherstellen und euch rekursiv so Schwachstellen machen woraus besteht der körper gibt es Steuer Verbindungen gedanklich was wenn er stirbt was bleibt zurück?
DOI: 10.5281/zenodo.17910698
title: Dataset used for the publication entitled "The response of mucosal colonic microbiota to probiotic and dietary intervention in vitro"

description: The Mucosal Simulator of Human Gastrointestinal Microbial Ecosystem (M-SHIME) has been increasingly applied across the literature to study the responses of human mucosal microbiota to various substances. This in vitro system enables multiple sampling of mucosal microbiota over a short timeframes (several days), which is not feasible in human studies. Consequently, M-SHIME provides a valuable platform for monitoring changes in mucosal microbiota over time.  

This dataset originates from a 28-day experiment in which a simulation of balanced, dietary intervention and a parallel 14-day administration of Lacticaseibacillus rhamnosus GG was applied in M-SHIME, as well as in luminal SHIME (L-SHIME). The collected data demonstrated that the microbiota in M-SHIME responded to probiotic intervention in a manner similar to that observed in the L-SHIME system, however it reacted in a distinct way to fluctuations in the dietary nutrients. Notably, the microbiota in M-SHIME responded in a way consistent with observations reported in human studies. These findings confirm the utility of the M-SHIME platform for studying the responses of human mucosal microbiota to dietary interventions.

Detailed data description was contained in the Readme File.txt. 

This research was funded by the National Science Centre, Poland 2021/05/X/NZ4/01613.

This dataset was used for the needs of a publication entitled "The response of mucosal colonic microbiota to probiotic and dietary intervention in vitro"
DOI: 10.5281/zenodo.17910699
title: Dataset used for the publication entitled "The response of mucosal colonic microbiota to probiotic and dietary intervention in vitro"

description: The Mucosal Simulator of Human Gastrointestinal Microbial Ecosystem (M-SHIME) has been increasingly applied across the literature to study the responses of human mucosal microbiota to various substances. This in vitro system enables multiple sampling of mucosal microbiota over a short timeframes (several days), which is not feasible in human studies. Consequently, M-SHIME provides a valuable platform for monitoring changes in mucosal microbiota over time.  

This dataset originates from a 28-day experiment in which a simulation of balanced, dietary intervention and a parallel 14-day administration of Lacticaseibacillus rhamnosus GG was applied in M-SHIME, as well as in luminal SHIME (L-SHIME). The collected data demonstrated that the microbiota in M-SHIME responded to probiotic intervention in a manner similar to that observed in the L-SHIME system, however it reacted in a distinct way to fluctuations in the dietary nutrients. Notably, the microbiota in M-SHIME responded in a way consistent with observations reported in human studies. These findings confirm the utility of the M-SHIME platform for studying the responses of human mucosal microbiota to dietary interventions.

Detailed data description was contained in the Readme File.txt. 

This research was funded by the National Science Centre, Poland 2021/05/X/NZ4/01613.

This dataset was used for the needs of a publication entitled "The response of mucosal colonic microbiota to probiotic and dietary intervention in vitro"
DOI: 10.15468/dl.ns6u7t
title: Occurrence Download

description: A dataset containing 203626 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "Geometry POLYGON((98 25,101.5 25,101.5 29.5,98 29.5,98 25))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Animalia",
 "Year 1950-2026"
 ]
}

 The dataset includes 203626 records from 519 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004669-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18335168
title: Source data for microplastic mobility in groundwater aquifers

description: This repository contains the source data and custom code used to compute the XDLVO surface element integrals between microplastics and quartz sand based on the superellipsoid model in this study. This work was also supported by the "Ocean Decade" China Action International Cooperation Seed Fund Project (No. GHZZ3702840002024020000027).
DOI: 10.5281/zenodo.18335167
title: Source data for microplastic mobility in groundwater aquifers

description: This repository contains the source data and custom code used to compute the XDLVO surface element integrals between microplastics and quartz sand based on the superellipsoid model in this study. This work was also supported by the "Ocean Decade" China Action International Cooperation Seed Fund Project (No. GHZZ3702840002024020000027).
DOI: 10.6084/m9.figshare.30800636
title: Real Comparator Behavior and Its Effect on Wake-Up Receivers

description: Wake-up receivers (WuRxs) enable low-latency wireless communication with power consumption three orders of magnitude lower than that of conventional RF receivers. Most WuRxs based on commercial off-the-shelf components rely on a comparator to digitize the analog LF signal. The comparator is the central component that determines achievable sensitivity, range, and energy efficiency. High input offset voltage or large hysteresis increase the required signal amplitude and therefore degrade the minimum detectable signal (MDS). This work presents detailed measurements of comparator trip levels for eight devices, providing realistic values for input offset and hysteresis. Based on these measurements, formulas are derived to estimate the WuRx sensitivity from the comparator parameters and the envelope-detector voltage sensitivity. The results show that increasing the common-mode voltage can improve the sensitivity by up to 1.8 dB. Two comparators not previously used in WuRxs were evaluated. The ISL28915 achieves the lowest MDS of -48 dBm at only 500 nA supply current, making it suitable for always-on WuRxs. The MAX9075 offers low propagation delay and a supply current of 3 µA, providing a clear improvement over the TLV3201 previously used in duty-cycled WuRxs. These findings provide practical design guidance for comparator selection and enable improved sensitivity in future WuRx implementations.
DOI: 10.6084/m9.figshare.30800636.v1
title: Real Comparator Behavior and Its Effect on Wake-Up Receivers

description: Wake-up receivers (WuRxs) enable low-latency wireless communication with power consumption three orders of magnitude lower than that of conventional RF receivers. Most WuRxs based on commercial off-the-shelf components rely on a comparator to digitize the analog LF signal. The comparator is the central component that determines achievable sensitivity, range, and energy efficiency. High input offset voltage or large hysteresis increase the required signal amplitude and therefore degrade the minimum detectable signal (MDS). This work presents detailed measurements of comparator trip levels for eight devices, providing realistic values for input offset and hysteresis. Based on these measurements, formulas are derived to estimate the WuRx sensitivity from the comparator parameters and the envelope-detector voltage sensitivity. The results show that increasing the common-mode voltage can improve the sensitivity by up to 1.8 dB. Two comparators not previously used in WuRxs were evaluated. The ISL28915 achieves the lowest MDS of -48 dBm at only 500 nA supply current, making it suitable for always-on WuRxs. The MAX9075 offers low propagation delay and a supply current of 3 µA, providing a clear improvement over the TLV3201 previously used in duty-cycled WuRxs. These findings provide practical design guidance for comparator selection and enable improved sensitivity in future WuRx implementations.
DOI: 10.5281/zenodo.18326782
title: Cryptosporidium spp. oocysts and Giardia duodenalis cysts in domestic dogs in Latvia, 2022-2023

description: The Excel database contains data about Cryptosporidium spp. and Giardia duodenalis from 213 dog faecal samples, voluntarily submitted by owners for testing.

The database contains information on the date of sample collection, parish, sex, age in years, as well as information on the concentration of Cryptosporidium spp. and Giardia duodenalis in a 1 g sample. Samples were collected from April 2022 to May 2023. Fecal samples were tested using immunofluorescence.
DOI: 10.5281/zenodo.18326783
title: Cryptosporidium spp. oocysts and Giardia duodenalis cysts in domestic dogs in Latvia, 2022-2023

description: The Excel database contains data about Cryptosporidium spp. and Giardia duodenalis from 213 dog faecal samples, voluntarily submitted by owners for testing.

The database contains information on the date of sample collection, parish, sex, age in years, as well as information on the concentration of Cryptosporidium spp. and Giardia duodenalis in a 1 g sample. Samples were collected from April 2022 to May 2023. Fecal samples were tested using immunofluorescence.
DOI: 10.6084/m9.figshare.30647915.v1
title: The Hidden Cost of Performance: How Microcontrollers Drain Batteries in Sensor-Integrating Machine Elements

description: Sensor-integrating machine elements (SiMEs) represent an effective approach for condition monitoring. These systems require highly integrated electronic circuits that combine a compact form factor, long battery life, precise signal acquisition, and reliable wireless transmission under elevated temperatures. Such conditions impose strict limits on power consumption while still demanding sufficient computing capability for data preprocessing, compression, and feature extraction. This article presents measurements of several microcontrollers commonly used in SiMEs. Processing speed, energy per operation, and quiescent current were analyzed to quantify the tradeoff between computational efficiency and battery lifetime. The results show that the energy required for basic arithmetic operations varies by up to three orders of magnitude between devices. Modern high-performance microcontrollers demonstrate excellent computational efficiency but exhibit quiescent currents exceeding 100 µA at temperatures above 90°C, making them unsuitable for long-term battery operation. The presented data provide a quantitative basis for selecting suitable microcontrollers for future SiME designs, enabling an informed balance between processing capability, energy efficiency, and thermal robustness.
DOI: 10.6084/m9.figshare.30647915
title: The Hidden Cost of Performance: How Microcontrollers Drain Batteries in Sensor-Integrating Machine Elements

description: Sensor-integrating machine elements (SiMEs) represent an effective approach for condition monitoring. These systems require highly integrated electronic circuits that combine a compact form factor, long battery life, precise signal acquisition, and reliable wireless transmission under elevated temperatures. Such conditions impose strict limits on power consumption while still demanding sufficient computing capability for data preprocessing, compression, and feature extraction. This article presents measurements of several microcontrollers commonly used in SiMEs. Processing speed, energy per operation, and quiescent current were analyzed to quantify the tradeoff between computational efficiency and battery lifetime. The results show that the energy required for basic arithmetic operations varies by up to three orders of magnitude between devices. Modern high-performance microcontrollers demonstrate excellent computational efficiency but exhibit quiescent currents exceeding 100 µA at temperatures above 90°C, making them unsuitable for long-term battery operation. The presented data provide a quantitative basis for selecting suitable microcontrollers for future SiME designs, enabling an informed balance between processing capability, energy efficiency, and thermal robustness.
DOI: 10.15468/dl.cv2n32
title: Occurrence Download

description: A dataset listing the 10638 species recorded in GBIF matching the query:
{
 "DatasetKey" : [
 "is EOD – eBird Observation Dataset"
 ]
}

 The dataset's 10638 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004658-260120142942310/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.19493644
title: Frequency and clinical significance of histologic upper gastrointestinal tract findings in children with inflammatory bowel disease

description: Assessment of the upper gastrointestinal tract (UGI) may enable more personalized treatment strategies in pediatric inflammatory bowel disease (IBD). However, data on the frequency and significance of these findings remain limited. Data on 132 pediatric IBD patients with systematic UGI sampling were collected and the baseline characteristics and presence of complications compared between those with and without histological UGI findings. The control group comprised 162 children who received no diagnoses. Seventy-six children had ulcerative colitis (UC), 47 Crohn’s disease (CD) and nine IBD unclassified. UGI findings were more common in IBD patients than controls (69.7% vs. 30.9%, respectively, <i>p</i> &lt; .001), particularly in the stomach (62.1% vs. 16.8%; <i>p</i> &lt; .001). Among IBD patients, findings were more common in CD than in UC (80.9% vs. 63.2%; <i>p</i> = .038), particularly in the duodenum (21.3% vs. 2.6%, <i>p</i> = .001). Four patients had UGI granulomas consistent with CD. Hypoalbuminemia (OR 3.22; 95% CI 1.18–8.79) and failure to thrive (2.82; 1.17–6.78) increased the likelihood of UGI findings in IBD. In CD, perianal morbidity was less common in those with than in those without UGI findings (13.2% vs. 44.4%; <i>p</i> = .032) whereas in UC, UGI findings increased the risk for co-morbidities (18.8% vs. 3.6%; <i>p</i> = .059). The long-term outcomes did not differ between patients with or without UGI findings. Histologic UGI findings were more common in children with IBD than in children with no gastrointestinal diagnoses. In CD, UGI findings were more frequent than in UC, especially in the duodenum. In UC, UGI findings were associated with more complex disease.
DOI: 10.6084/m9.figshare.19493644.v1
title: Frequency and clinical significance of histologic upper gastrointestinal tract findings in children with inflammatory bowel disease

description: Assessment of the upper gastrointestinal tract (UGI) may enable more personalized treatment strategies in pediatric inflammatory bowel disease (IBD). However, data on the frequency and significance of these findings remain limited. Data on 132 pediatric IBD patients with systematic UGI sampling were collected and the baseline characteristics and presence of complications compared between those with and without histological UGI findings. The control group comprised 162 children who received no diagnoses. Seventy-six children had ulcerative colitis (UC), 47 Crohn’s disease (CD) and nine IBD unclassified. UGI findings were more common in IBD patients than controls (69.7% vs. 30.9%, respectively, <i>p</i> &lt; .001), particularly in the stomach (62.1% vs. 16.8%; <i>p</i> &lt; .001). Among IBD patients, findings were more common in CD than in UC (80.9% vs. 63.2%; <i>p</i> = .038), particularly in the duodenum (21.3% vs. 2.6%, <i>p</i> = .001). Four patients had UGI granulomas consistent with CD. Hypoalbuminemia (OR 3.22; 95% CI 1.18–8.79) and failure to thrive (2.82; 1.17–6.78) increased the likelihood of UGI findings in IBD. In CD, perianal morbidity was less common in those with than in those without UGI findings (13.2% vs. 44.4%; <i>p</i> = .032) whereas in UC, UGI findings increased the risk for co-morbidities (18.8% vs. 3.6%; <i>p</i> = .059). The long-term outcomes did not differ between patients with or without UGI findings. Histologic UGI findings were more common in children with IBD than in children with no gastrointestinal diagnoses. In CD, UGI findings were more frequent than in UC, especially in the duodenum. In UC, UGI findings were associated with more complex disease.
DOI: 10.5281/zenodo.18336284
title: ISTIQBOLLI KUZGI YUMSHOQ BUG'DOY NAVLARINI EKISH ME'YORLARINING HOSILDORLIK VA NONBOPLIK KO'RSATKICHLARIGA TA'SIRI

description: Mazkur maqolada istiqbolli kuzgi yumshoq bug’doy navlarini turli ekish me’yorlarida yetishtirishning hosildorlik hamda donning nonboplik sifat ko’rsatkichlariga ta’siri ilmiy jihatdan tahlil qilinadi. Tadqiqotda ekish me’yorining o’simliklarning rivojlanishi, poyalanish darajasi, boshoqlanishi, don hosili va don sifatiga ko’rsatadigan ta’siri yoritilgan. Olingan natijalar asosida optimal ekish me’yorlarini belgilash hamda yuqori hosil va sifatli non mahsulotlari olish imkoniyatlari muhokama qilinadi.
DOI: 10.5281/zenodo.18336285
title: ISTIQBOLLI KUZGI YUMSHOQ BUG'DOY NAVLARINI EKISH ME'YORLARINING HOSILDORLIK VA NONBOPLIK KO'RSATKICHLARIGA TA'SIRI

description: Mazkur maqolada istiqbolli kuzgi yumshoq bug’doy navlarini turli ekish me’yorlarida yetishtirishning hosildorlik hamda donning nonboplik sifat ko’rsatkichlariga ta’siri ilmiy jihatdan tahlil qilinadi. Tadqiqotda ekish me’yorining o’simliklarning rivojlanishi, poyalanish darajasi, boshoqlanishi, don hosili va don sifatiga ko’rsatadigan ta’siri yoritilgan. Olingan natijalar asosida optimal ekish me’yorlarini belgilash hamda yuqori hosil va sifatli non mahsulotlari olish imkoniyatlari muhokama qilinadi.
DOI: 10.5281/zenodo.18328138
title: Replication package for "Regional trade and sustainable intensification advance rice self-sufficiency in East Africa"

description:  

Optimization model for sustainable intensification of agriculture under regional trade
This replication package contains the code and data required to reproduce the analysis presented in the article "Regional trade and sustainable intensification advance rice self-sufficiency in East Africa".



The model maxmizes farmers' benefits subject to resource constraints.

The main model is written in GAMS. R scripts are used for pre- and post-processing data.

Current versions of GAMS and R are required for replication. Run the contained scripts in the following sequence:



Use  MAIN_data_processing.R to pre-process input data, then convert it to GAMS data format by running input_xlsx_to_gdx.gms

Run the baseline optimization in BASE_rice_model.gms with fixed scenario to determine water use in this fixed setting.

Use water_constraint.R to scale the water use from baseline and use it in the actual opitmization model.

Run the main optimization model in rice_model.gms. Due to the significant amount of scenarios this can take some time.

Use gdx_to_csv.gms to convert data from GAMS to CSV fomrat to make it readable with other programmes, including R.

Use analyze_outputs.R and figures_numbers_publication.R to analyze optimization model outputs and reproduce numbers, percentages and figures included in the article




This package provides the following datasets:



Custom Global Agro-Ecological Zones version extended for double-cropping and high spatial resolution of rice in GAEZ_rice_data.zip

Productions costs assesmbled from literature and processed for use in this modeling framework in production_costs.csv

subbasin_to_marketshed.csv and subbasin_to_country.csv provide mapping of spatial units for use in the GAMS model.


These datasets need to be downloaded to fully reproduce the analysis:



Supplementary data from Traberend et al. (2021) at: https://doi.org/10.1016/j.oneear.2021.02.012

Producer Prices from FAOSTAT

Rice areas from SPAM: https://doi.org/10.7910/DVN/FSSKBW


The economic model in GAMS can be run without the full data integration by using the processed data file provided in: model_inputs_cleaned.xlsx

Output data of the economic optimization is provided in the csv files in model_outputs.zip
DOI: 10.5281/zenodo.18328137
title: Replication package for "Regional trade and sustainable intensification advance rice self-sufficiency in East Africa"

description:  

Optimization model for sustainable intensification of agriculture under regional trade
This replication package contains the code and data required to reproduce the analysis presented in the article "Regional trade and sustainable intensification advance rice self-sufficiency in East Africa".



The model maxmizes farmers' benefits subject to resource constraints.

The main model is written in GAMS. R scripts are used for pre- and post-processing data.

Current versions of GAMS and R are required for replication. Run the contained scripts in the following sequence:



Use  MAIN_data_processing.R to pre-process input data, then convert it to GAMS data format by running input_xlsx_to_gdx.gms

Run the baseline optimization in BASE_rice_model.gms with fixed scenario to determine water use in this fixed setting.

Use water_constraint.R to scale the water use from baseline and use it in the actual opitmization model.

Run the main optimization model in rice_model.gms. Due to the significant amount of scenarios this can take some time.

Use gdx_to_csv.gms to convert data from GAMS to CSV fomrat to make it readable with other programmes, including R.

Use analyze_outputs.R and figures_numbers_publication.R to analyze optimization model outputs and reproduce numbers, percentages and figures included in the article




This package provides the following datasets:



Custom Global Agro-Ecological Zones version extended for double-cropping and high spatial resolution of rice in GAEZ_rice_data.zip

Productions costs assesmbled from literature and processed for use in this modeling framework in production_costs.csv

subbasin_to_marketshed.csv and subbasin_to_country.csv provide mapping of spatial units for use in the GAMS model.


These datasets need to be downloaded to fully reproduce the analysis:



Supplementary data from Traberend et al. (2021) at: https://doi.org/10.1016/j.oneear.2021.02.012

Producer Prices from FAOSTAT

Rice areas from SPAM: https://doi.org/10.7910/DVN/FSSKBW


The economic model in GAMS can be run without the full data integration by using the processed data file provided in: model_inputs_cleaned.xlsx

Output data of the economic optimization is provided in the csv files in model_outputs.zip
DOI: 10.5281/zenodo.18311504
title: Spatially organised IFNγ-instructed dendritic cell niches sustain human chronic inflammation

description: Processed and Annotated scRNAseq and Xenium Spatial Transcriptomics data for reviewers of the submitted article:

"Spatially organised IFNγ-instructed dendritic cell niches sustain human chronic inflammation"