cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/c9hjz49xdd.1
title: Fetal Liver-Restricted Leukemic Proliferation Via GATA1s-CSF2RB-MPL Axis In Down Syndrome

description: Transient abnormal myelopoiesis (TAM) is a fetal liver-stage leukemia driven by GATA1s mutations that resolves postnatally. Additional lesions transform TAM into Myeloid Leukemia of Down Syndrome (ML-DS), enabling proliferation in the postnatal bone marrow. We integrated single-cell transcriptomics of TAM with CRISPR-engineered GATA1s-mutant progenitors and functional assays to define the mechanism confining proliferation to the fetal liver. We identified the cytokine receptor CSF2RB as a GATA2 target that escapes repression by GATA1s and is upregulated in TAM. CSF2RB interacts with the TPO receptor (MPL) to prolong JAK-STAT signaling under high-TPO conditions of the fetal liver, driving GATA1-mutant cell expansion. In ML-DS, a CSF2RB A455D variant enforces MPL dimerization and JAK-STAT activation, bypassing the TPO dependence and enabling bone-marrow proliferation. Base-editing reversion of ML-DS-derived JAK3A572V restores TPO dependence. These findings define a fetal liver cytokine gate that restricts GATA1s oncogenic competence in utero and when genetically bypassed, permits progression to ML-DS.
DOI: 10.15468/dl.267ugg
title: Occurrence Download

description: A dataset containing 1566 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Continent is North America",
 "Country is United States of America",
 "License is one of (CC0 1.0, CC-BY 4.0)",
 "OccurrenceStatus is Present",
 "TaxonKey is Ovis canadensis",
 "Year 1970-2025"
 ]
}

 The dataset includes 1566 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033319-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/bp9by739w9
title: Distribution of workplaces in Warsaw 2015-2025 in high spatial resolution

description: This data presents a 100 square meters spatially disaggregated dataset of workplace locations in Warsaw for the years 2015 and 2025. The dataset was created by integrating employment data from the Warsaw Traffic Survey (WTS) 2015 with high-resolution geospatial data from the Global Human Settlement Layer (GHSL, R2023), taking into account areas with missing data from OpenStreetMap (OSM). In 2015, WTS reported 804,760 workplaces in 800 transport zones. To enable fine-scale analysis, these values were redistributed to a 100 m GHSL grid using non-residential built-up volume and height as allocation factors. Areas without employment, such as parks, cemeteries, airport runways, the Vistula river, and water areas, were excluded using OSM data.
produced The 2025 dataset by updating the 2015 distribution with changes in non-residential built-up volume between 2015 and 2025, as well as incorporating newly constructed skyscrapers not included in GHSL 2018 height data. The result is two harmonised datasets representing workplace distribution across Warsaw at 100 m resolution. These datasets provide valuable input for studies of urban accessibility, transport equity, and land-use–transport interactions, and the methodological framework can be replicated in other urban contexts.
DOI: 10.17632/bp9by739w9.1
title: Distribution of workplaces in Warsaw 2015-2025 in high spatial resolution

description: This data presents a 100 square meters spatially disaggregated dataset of workplace locations in Warsaw for the years 2015 and 2025. The dataset was created by integrating employment data from the Warsaw Traffic Survey (WTS) 2015 with high-resolution geospatial data from the Global Human Settlement Layer (GHSL, R2023), taking into account areas with missing data from OpenStreetMap (OSM). In 2015, WTS reported 804,760 workplaces in 800 transport zones. To enable fine-scale analysis, these values were redistributed to a 100 m GHSL grid using non-residential built-up volume and height as allocation factors. Areas without employment, such as parks, cemeteries, airport runways, the Vistula river, and water areas, were excluded using OSM data.
produced The 2025 dataset by updating the 2015 distribution with changes in non-residential built-up volume between 2015 and 2025, as well as incorporating newly constructed skyscrapers not included in GHSL 2018 height data. The result is two harmonised datasets representing workplace distribution across Warsaw at 100 m resolution. These datasets provide valuable input for studies of urban accessibility, transport equity, and land-use–transport interactions, and the methodological framework can be replicated in other urban contexts.
DOI: 10.17632/y89dprnt5b
title: A systems perspective on harnessing the unseen architects: microbiome stewardship for resilient food systems and planetary health

description: R codes to create the Casual loop diagrams
DOI: 10.15468/dl.em2ch4
title: Occurrence Download

description: A dataset containing 30 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Bradybaena similaris",
 "Country is Argentina",
 "HasCoordinate is true"
 ]
}

 The dataset includes 30 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033320-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/y89dprnt5b.1
title: A systems perspective on harnessing the unseen architects: microbiome stewardship for resilient food systems and planetary health

description: R codes to create the Casual loop diagrams
DOI: 10.5281/zenodo.16929915
title: Adolescent Nutrition,Tanzania_Dataset

description: This dat set contains de-identified datafrom the Adolescents including their height, weight and haemoglobin which were used to assess the outcomes and household informtion like sources of water and sanitation
DOI: 10.15468/dl.aazytq
title: Occurrence Download

description: A dataset containing 1112 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Bradybaena similaris",
 "Country is Brazil",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1112 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033321-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5drmpp
title: Occurrence Download

description: A dataset containing 319 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Bradybaena similaris",
 "Country is Japan",
 "HasCoordinate is true"
 ]
}

 The dataset includes 319 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033322-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/58dr7jx38y
title: Port-Wine Stains

description: Supplementary Figure 1. Clinical outcomes in facial PWS patients. (a, b) Patient with PDL-PDT treatment intervals &gt;12 months between PDL and PDT showed poor erythema clearance after three PDT sessions. (c, d) Patient with treatment intervals &lt;12 months exhibited significant erythema regression after three PDT sessions.
DOI: 10.17632/58dr7jx38y.1
title: Port-Wine Stains

description: Supplementary Figure 1. Clinical outcomes in facial PWS patients. (a, b) Patient with PDL-PDT treatment intervals &gt;12 months between PDL and PDT showed poor erythema clearance after three PDT sessions. (c, d) Patient with treatment intervals &lt;12 months exhibited significant erythema regression after three PDT sessions.
DOI: 10.17632/2g8kchh347
title: Fate of Iodate on Adsorbed/Coprecipitated Ferrihydrite-Organic Matter Compl https://doi.org/10.17632/cfdzx2rh8z.1

description: Raw data for all figures in the manuscript of "Fate of Iodate on Adsorbed/Coprecipitated Ferrihydrite-Organic Matter".
DOI: 10.17632/2g8kchh347.2
title: Fate of Iodate on Adsorbed/Coprecipitated Ferrihydrite-Organic Matter Compl https://doi.org/10.17632/cfdzx2rh8z.1

description: Raw data for all figures in the manuscript of "Fate of Iodate on Adsorbed/Coprecipitated Ferrihydrite-Organic Matter".
DOI: 10.17632/vkgnm92swn
title: Sapota_bioengineering_project

description: The data contains the eventwise rainfall, rainfall intensity, runoff and soil loss from 2013-2022 under different bio-engineering measures on ravine lands of Western India.
DOI: 10.17632/vkgnm92swn.1
title: Sapota_bioengineering_project

description: The data contains the eventwise rainfall, rainfall intensity, runoff and soil loss from 2013-2022 under different bio-engineering measures on ravine lands of Western India.
DOI: 10.17632/yvwtnpvrc4
title: Quantifying Response Capacity to Enhance Residual Flood Risk Assessment (Case Study of Sefidroud River, Northwestern Iran)

description: This file including Supplementary Information (figures and tables) related to the research article entitled "Quantifying Response Capacity to Enhance Residual Flood Risk Assessment (Case Study of Sefidroud River, Northwestern Iran)".
DOI: 10.17632/yvwtnpvrc4.1
title: Quantifying Response Capacity to Enhance Residual Flood Risk Assessment (Case Study of Sefidroud River, Northwestern Iran)

description: This file including Supplementary Information (figures and tables) related to the research article entitled "Quantifying Response Capacity to Enhance Residual Flood Risk Assessment (Case Study of Sefidroud River, Northwestern Iran)".
DOI: 10.17632/tksn2jrckf
title: YOLO-Formatted Dataset of Bottles in Diverse Backgrounds (plastic_bottle & tetra_pak)

description: The dataset consists of 548 bottle images that are gathered in different real-life scenarios such as streets, parks, shops, and indoor scenes. The pictures were taken in a variety of conditions like variation in lighting, background and object positions to create more variability. All of the images are annotated adequately in the YOLO format, where there are bounding boxes denoting two classes (plastic_bottle and tetra_pak). The annotation files are in the YOLO TXT format (class_id x_center y_center width height with normalized coordinates) and accompanying the images so that it is ready-to-use.

The dataset can help serve the study of computer application in the field of bottle type detection, waste classification, recycling, and environmental monitoring. It can be employed to train and test object detection models to differentiate recycling objects in complicated and noisy backgrounds. There is no predetermined division, and scientists can make their own train, validation, and test subsets as per their requirements.

It should be of particular interest to students, researchers and practitioners who work with a YOLO-based pipeline (e.g., YOLOv5 including YOLOv8) but it can be converted into other formats like Pascal VOC or COCO. By presenting a diverse and labeled set of bottles, this work will help to drive the field of automated waste recognition and reinforce the use of sustainable tools via machine learning.
DOI: 10.17632/tksn2jrckf.1
title: YOLO-Formatted Dataset of Bottles in Diverse Backgrounds (plastic_bottle & tetra_pak)

description: The dataset consists of 548 bottle images that are gathered in different real-life scenarios such as streets, parks, shops, and indoor scenes. The pictures were taken in a variety of conditions like variation in lighting, background and object positions to create more variability. All of the images are annotated adequately in the YOLO format, where there are bounding boxes denoting two classes (plastic_bottle and tetra_pak). The annotation files are in the YOLO TXT format (class_id x_center y_center width height with normalized coordinates) and accompanying the images so that it is ready-to-use.

The dataset can help serve the study of computer application in the field of bottle type detection, waste classification, recycling, and environmental monitoring. It can be employed to train and test object detection models to differentiate recycling objects in complicated and noisy backgrounds. There is no predetermined division, and scientists can make their own train, validation, and test subsets as per their requirements.

It should be of particular interest to students, researchers and practitioners who work with a YOLO-based pipeline (e.g., YOLOv5 including YOLOv8) but it can be converted into other formats like Pascal VOC or COCO. By presenting a diverse and labeled set of bottles, this work will help to drive the field of automated waste recognition and reinforce the use of sustainable tools via machine learning.
DOI: 10.17632/c9yrcgmv7v
title: Supplemental Material

description: Baseline characteristics and skin cancer type of patients with a history of opioid or alcohol use disorder and patients without a history of these disorders
DOI: 10.17632/c9yrcgmv7v.1
title: Supplemental Material

description: Baseline characteristics and skin cancer type of patients with a history of opioid or alcohol use disorder and patients without a history of these disorders
DOI: 10.17632/bvj5zc85d5
title: NCCR-Water structure in the first layers on TiO2: a key factor for boosting solar-driven water-splitting performances

description: NCCR-Water structure in the first layers on TiO2: a key factor for boosting solar-driven water-splitting performances
DOI: 10.15468/dl.zwabpw
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Bradybaena similaris",
 "Country is Seychelles",
 "HasCoordinate is true"
 ]
}

 The dataset includes 6 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033325-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/bvj5zc85d5.1
title: NCCR-Water structure in the first layers on TiO2: a key factor for boosting solar-driven water-splitting performances

description: NCCR-Water structure in the first layers on TiO2: a key factor for boosting solar-driven water-splitting performances
DOI: 10.15468/dl.g9939x
title: Occurrence Download

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

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033324-250811113504898/datasets/export for details.
DOI: 10.15468/dl.d7rfxw
title: Occurrence Download

description: A dataset containing 1917886 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is one of (North America, South America, Antarctica)",
 "TaxonKey is Tringa flavipes"
 ]
}

 The dataset includes 1917886 records from 296 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033288-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/7fpjphm2rp
title: Late Cenozoic Exhumation and Basin Capture in the Eastern Talesh–Western Alborz (NW Iran): Insights from Caspian Sea Base-Level Fall, Structural Architecture, and Orographic Forcing

description: This repository contains the thermochronologic data (Apatite (U-Th-Sm)/He and Apatite Fission Track) supporting the submitted research article titled: Late Cenozoic Exhumation and Basin Capture in the Eastern Talesh–Western Alborz (NW Iran): Insights from Caspian Sea Base-Level Fall, Structural Architecture, and Orographic Forcing
DOI: 10.17632/7fpjphm2rp.1
title: Late Cenozoic Exhumation and Basin Capture in the Eastern Talesh–Western Alborz (NW Iran): Insights from Caspian Sea Base-Level Fall, Structural Architecture, and Orographic Forcing

description: This repository contains the thermochronologic data (Apatite (U-Th-Sm)/He and Apatite Fission Track) supporting the submitted research article titled: Late Cenozoic Exhumation and Basin Capture in the Eastern Talesh–Western Alborz (NW Iran): Insights from Caspian Sea Base-Level Fall, Structural Architecture, and Orographic Forcing
DOI: 10.15468/dl.5mpw9s
title: Occurrence Download

description: A dataset containing 23 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Bradybaena similaris",
 "Country is Mexico",
 "HasCoordinate is true"
 ]
}

 The dataset includes 23 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033323-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/xdjn6jnzjn
title: "Son las mismas condiciones, nada especial”: experiencia de trabajadores con discapacidad. Base de datos

description: Este dataset contiene las transcripciones anonimizadas de entrevistas en profundidad realizadas a cinco trabajadores con discapacidad vinculados al sector formal de la economía en Cali, Colombia. El objetivo del estudio fue comprender las experiencias laborales de estas personas, explorando cómo perciben su entorno laboral, las adaptaciones realizadas (o la falta de estas) y sus estrategias de integración.

Características del dataset:

Formato: Texto plano, organizado por pregunta y respuesta.
Idioma: Español.
Participantes: 3 hombres y 2 mujeres (1 hombre con discapacidad visual y 4 personas con discapacidad motora), seleccionados mediante muestreo propositivo.
Estructura de la información: Las entrevistas fueron estructuradas para abordar los existenciales fenomenológicos (cuerpo, espacio, tiempo y relaciones humanas) y la percepción de las condiciones laborales.
Anonimización: Todos los datos personales y cualquier información que pudiera identificar a los participantes han sido eliminados para garantizar la confidencialidad.
DOI: 10.17632/xdjn6jnzjn.2
title: "Son las mismas condiciones, nada especial”: experiencia de trabajadores con discapacidad. Base de datos

description: Este dataset contiene las transcripciones anonimizadas de entrevistas en profundidad realizadas a cinco trabajadores con discapacidad vinculados al sector formal de la economía en Cali, Colombia. El objetivo del estudio fue comprender las experiencias laborales de estas personas, explorando cómo perciben su entorno laboral, las adaptaciones realizadas (o la falta de estas) y sus estrategias de integración.

Características del dataset:

Formato: Texto plano, organizado por pregunta y respuesta.
Idioma: Español.
Participantes: 3 hombres y 2 mujeres (1 hombre con discapacidad visual y 4 personas con discapacidad motora), seleccionados mediante muestreo propositivo.
Estructura de la información: Las entrevistas fueron estructuradas para abordar los existenciales fenomenológicos (cuerpo, espacio, tiempo y relaciones humanas) y la percepción de las condiciones laborales.
Anonimización: Todos los datos personales y cualquier información que pudiera identificar a los participantes han sido eliminados para garantizar la confidencialidad.
DOI: 10.17632/y25g22ydct
title: SMART-CCPP Dataset

description: The SMART-CCPP dataset comprises four input features—ambient temperature (AT), ambient barometric pressure (BP), dew point temperature (DP), and steam turbine LP exhaust vacuum (V)—along with one target variable, the electrical power output (EP). The original dataset included 8,124 samples; however, following preprocessing and cleaning, 3,234 valid data points were retained.

Data were collected over a five-year period (2020–2025) across all four seasons to capture varying climatic conditions. Although the raw measurements were initially recorded at 40 ms intervals, they were resampled to four-hour intervals during preprocessing to ensure manageability.

To guarantee data quality prior to model training, several preprocessing steps were conducted using Python’s pandas and scikit-learn libraries:

Data Cleaning: Samples affected by missing values, instrument malfunctions, grid instabilities, load transients, or maintenance activities were removed. To ensure reliability, only data from full-load operation were preserved.

Feature Scaling: All features and the target variable were standardized and normalized using Min-Max scaling to maintain consistency.

Correlation Analysis: A correlation matrix was generated to examine relationships between the features and the target variable.
DOI: 10.17632/y25g22ydct.2
title: SMART-CCPP Dataset

description: The SMART-CCPP dataset comprises four input features—ambient temperature (AT), ambient barometric pressure (BP), dew point temperature (DP), and steam turbine LP exhaust vacuum (V)—along with one target variable, the electrical power output (EP). The original dataset included 8,124 samples; however, following preprocessing and cleaning, 3,234 valid data points were retained.

Data were collected over a five-year period (2020–2025) across all four seasons to capture varying climatic conditions. Although the raw measurements were initially recorded at 40 ms intervals, they were resampled to four-hour intervals during preprocessing to ensure manageability.

To guarantee data quality prior to model training, several preprocessing steps were conducted using Python’s pandas and scikit-learn libraries:

Data Cleaning: Samples affected by missing values, instrument malfunctions, grid instabilities, load transients, or maintenance activities were removed. To ensure reliability, only data from full-load operation were preserved.

Feature Scaling: All features and the target variable were standardized and normalized using Min-Max scaling to maintain consistency.

Correlation Analysis: A correlation matrix was generated to examine relationships between the features and the target variable.
DOI: 10.17632/wh5g9hwv5g
title: Runoff reconstructions and future projections indicate highly variable water supply from Pacific Rim water towers

description: Anthropogenic climate change affects regional hydrological cycles and poses significant challenges to the sustainable supply of freshwater. The Central China water tower (CCWT) is the key source region feeding the Yangtze and Yellow Rivers, and its runoff is indispensable for the surrounding mega-city clusters. Here we present a reconstruction of CCWT runoff depth back to 1595 CE, based on a new dendrochronological network including 100 tree-ring chronologies and an ensemble averaging approach that combines multiple regression models. Comparison of this reconstruction with similar records from six water tower regions along the Pacific Rim (Mongolian Plateau, Tibetan Plateau, Great Dividing Range, Southern and Northern Rocky Mountains, Andes Mountains) revealed that the CCWT provide the most stable water supply, while the Tibetan Plateau to be most susceptible to extreme runoff events. Twenty-first century projections indicate generally increasing runoff across most Pacific Rim water towers, whereas the Northern Rocky Mountains are projected to decline substantially. We attribute the differences in runoff variability and projected trends across Pacific Rim water towers to their distinct geographies and synoptic climatic conditions. The long-term runoff reconstructions and projected changes highlighted in this study provide insights for adaptive management strategies in China and all other regions relying on supply from mountain water towers.