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

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((-119.7754881000000040 36.7361501999999973, -119.7754881000000040 36.7367635700000008, -119.7754881000000040 36.7373490499999988, -119.7754881000000040 36.7377672599999983, -119.7754881000000040 36.7382969900000020, -119.7754881000000040 36.7390218700000020, -119.7754881000000040 36.7396073600000008, -119.7754881000000040 36.7399976900000027, -119.7754881000000040 36.7406389300000029, -119.7754881000000040 36.7411128999999974, -119.7747637899999944 36.7411128999999974, -119.7741230599999938 36.7411128999999974, -119.7735101800000024 36.7411128999999974, -119.7727023000000059 36.7411128999999974, -119.7727023000000059 36.7404437699999988, -119.7727023000000059 36.7399419300000005, -119.7727023000000059 36.7394121999999967, -119.7727023000000059 36.7389382300000022, -119.7727023000000059 36.7386873100000031, -119.7727023000000059 36.7382133400000015, -119.7727023000000059 36.7377951400000029, -119.7727023000000059 36.7372932899999967, -119.7727023000000059 36.7368750899999981, -119.7727023000000059 36.7361501999999973, -119.7731480300000015 36.7361501999999973, -119.7736216100000064 36.7361501999999973, -119.7742902100000038 36.7361501999999973, -119.7749587999999932 36.7361501999999973, -119.7754881000000040 36.7361501999999973))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1932",
 "BasisOfRecord is one of (Human Observation, Living Specimen, Observation, Specimen, Machine Observation)"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0097177-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xvvc4z
title: Occurrence Download

description: A dataset containing 1027132 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "Country is Peru",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1027132 records from 234 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017141-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.knma5m
title: Occurrence Download

description: A dataset containing 35122 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ambrosia artemisiifolia L."
 ]
}

 The dataset includes 35122 records from 499 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008226-200613084148143/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.27952592
title: The lining of maps: mapping the intimacies of the cartographic processes

description: Each mapping process is affected by the personal lives of the cartographer(s). In this paper we propose to focus on this particular aspect of mapmaking: How do the intimate and emotional aspects of the map's creation impact the decision process and by extension the cartographic outcome? This intimate aspect of mapmaking can become eminently political when the mapmakers uncover the traumatic experiences they face because of their racial, class, gendered or intersectional identities. This paper proposes to investigate the potential of sensibility mapping to represent such dimensions of mapping processes. Sensibility mapping can be defined as a reflexive research-creation approach. It emerged a few decades ago from artistic, feminist, activist and participatory urbanism cartographies. In recent years, this specific mode of representation has been mobilized in a research project to address the mapping complexity related to traumatic genocide stories: the life stories of Rwandan exiles who have lived in Montreal since the 1994 genocide against the Tutsi. Overall, this research underpins sensibility mapping to challenge cartographic norms from an epistemological point of view, in order to enrich the knowledge about how we make maps.
DOI: 10.6084/m9.figshare.27952592.v1
title: The lining of maps: mapping the intimacies of the cartographic processes

description: Each mapping process is affected by the personal lives of the cartographer(s). In this paper we propose to focus on this particular aspect of mapmaking: How do the intimate and emotional aspects of the map's creation impact the decision process and by extension the cartographic outcome? This intimate aspect of mapmaking can become eminently political when the mapmakers uncover the traumatic experiences they face because of their racial, class, gendered or intersectional identities. This paper proposes to investigate the potential of sensibility mapping to represent such dimensions of mapping processes. Sensibility mapping can be defined as a reflexive research-creation approach. It emerged a few decades ago from artistic, feminist, activist and participatory urbanism cartographies. In recent years, this specific mode of representation has been mobilized in a research project to address the mapping complexity related to traumatic genocide stories: the life stories of Rwandan exiles who have lived in Montreal since the 1994 genocide against the Tutsi. Overall, this research underpins sensibility mapping to challenge cartographic norms from an epistemological point of view, in order to enrich the knowledge about how we make maps.
DOI: 10.5281/zenodo.10818347
title: Precipitation extremes across the Mississippi River basin using the NASA global daily downscaled datasets NEX-GDDP-CMIP6

description: This study comprehensively analyzes historical and projected changes in various precipitation parameters within the Mississippi River basin. These parameters include annual total values, simple daily intensity index, consecutive dry and wet spells, as well as heavy precipitation event related indices, such as maximum one-day, three-day, five-day, and seven-day consecutive precipitation. We examine the quantity exceeding specific percentile-based thresholds (95th and 99th) as well as the frequency of days surpassing absolute thresholds (1 mm, 10 mm, 20 mm, 50 mm). Additionally, we assess the percentage contribution of various extreme precipitation events to the annual total. The study employs a total of 32 Climate Models with a spatial resolution of 0.25 degrees (approximately 25 km) for the historical period spanning from 1985 to 2014, and the projected period from 2015 to 2094. A comparison is made between climate models and ground-based observations during the historical period. Using climate models, projected deviations in future periods are then computed, specifically the near future (2025 to 2054) and far future (2065 to 2094), with respect to the historical period. These climate models are part of the Coupled Model Inter-comparison Project phase 6 (CMIP6), and have undergone downscaling and bias-correction by the NASA Earth Exchange Global Daily Downscaled Projections project, referred to as NEX-GDDP-CMIP6.
DOI: 10.5281/zenodo.10818348
title: Precipitation extremes across the Mississippi River basin using the NASA global daily downscaled datasets NEX-GDDP-CMIP6

description: This study comprehensively analyzes historical and projected changes in various precipitation parameters within the Mississippi River basin. These parameters include annual total values, simple daily intensity index, consecutive dry and wet spells, as well as heavy precipitation event related indices, such as maximum one-day, three-day, five-day, and seven-day consecutive precipitation. We examine the quantity exceeding specific percentile-based thresholds (95th and 99th) as well as the frequency of days surpassing absolute thresholds (1 mm, 10 mm, 20 mm, 50 mm). Additionally, we assess the percentage contribution of various extreme precipitation events to the annual total. The study employs a total of 32 Climate Models with a spatial resolution of 0.25 degrees (approximately 25 km) for the historical period spanning from 1985 to 2014, and the projected period from 2015 to 2094. A comparison is made between climate models and ground-based observations during the historical period. Using climate models, projected deviations in future periods are then computed, specifically the near future (2025 to 2054) and far future (2065 to 2094), with respect to the historical period. These climate models are part of the Coupled Model Inter-comparison Project phase 6 (CMIP6), and have undergone downscaling and bias-correction by the NASA Earth Exchange Global Daily Downscaled Projections project, referred to as NEX-GDDP-CMIP6.
DOI: 10.25934/pr00010943.0
title: Available datapackage for study 'Usage Tracking Test Data Set 9 - do not request'

description: Vivli is an independent, non-profit organization that has developed a global data-sharing and analytics platform to serve all elements of the international research community. Our mission is to promote, coordinate, and facilitate scientific sharing and reuse of clinical research data through the creation and implementation of a sustainable global data-sharing enterprise. The Vivli platform includes an independent data repository, in-depth search engine and a cloud-based, secure analytics platform.
DOI: 10.15468/dl.fjuyba
title: Occurrence Download

description: A dataset containing 189863 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Africa",
 "TaxonKey is Vidua macroura (Pallas, 1764)"
 ]
}

 The dataset includes 189863 records from 144 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0047813-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ke9qs6
title: Occurrence Download

description: A dataset containing 608 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hoplangia durotrix Gosse, 1860"
 ]
}

 The dataset includes 608 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0047814-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14552391
title: GEOLAB project: ISEDEA - Influence of Storm Events on Drag Embedment Anchor Behaviour for Floating Offshore Wind Turbines

description: This dataset contains experimental data collected during a four-week testing program conducted in the Deltares geotechnical centrifuge in Delft, Netherlands. 1:100 scale stainless steel 3D-printed drag embedment anchor (DEA) models were subjected to 100g acceleration to replicate in-situ stress conditions. The experiments focused on embedding the anchor through pulling the mooring line, applying sinusoidal loading to simulate varying offshore conditions and pull-out tests. Anchor resistance was monitored throughout the tests, while penetration depths were determined post-test through exhumation, aided by coloured soil layers. These physical data serve as a basis for validating numerical models developed at TUHH to predict the load-displacement behaviour of DEAs.

The measured parameters varied according to the type of soil. For sand samples, a load cell recorded the force required to pull the anchor, providing data on the DEA's resistance. Furthermore the setup included a cone penetration test (CPT) device, a linear variable differential transformer transducer (LVDT) for settlement measurements, and two pore pressure transducers (PPTs). For clay samples, the setup was extended with two additional PPTs and four total pressure cells (TPCs) to enable a more detailed assessment of total stress, pore pressure distribution, and soil deformation. The data were recorded at a sampling rate of 300 Hz. 

After testing, the anchors were exhumed within the sample container to determine their final position and measure the drag distance. Manual 3D scanning of soil samples was performed using the EinScan HX scanner before and after exhumation. Rapid Scan mode with texture alignment and blue LED light sources ensured precise scanning, achieving an accuracy of up to 0.05 mm. The resulting point cloud was processed into a coloured 3D mesh.
DOI: 10.15468/c27g3s
title: Ephemeral plants in Fergana valleys

description: In 2020–2023, 160 species of ephemeral plants belonging to 20 families and 83 genera were identified as a result of targeted field research and herbarium samples conducted on the flora of the Fergana Valley.
DOI: 10.5281/zenodo.14544215
title: SellSTEM_ESR14_03

description: This dataset accompanies the published paper Lesson Study as a Professional Development Model for Teaching Spatial Ability in Primary STEM. It includes qualitative data collected from pre-questionnaires and focus group discussions. The pre-questionnaires and focus groups were designed to explore participants' understanding and implementation of spatial ability concepts in teaching. NVivo software was used for data analysis, employing nodes and codes to systematically organize responses. Key themes emerged, offering valuable insights into participants' perspectives, motivations, and techniques.
DOI: 10.5281/zenodo.14544216
title: SellSTEM_ESR14_03

description: This dataset accompanies the published paper Lesson Study as a Professional Development Model for Teaching Spatial Ability in Primary STEM. It includes qualitative data collected from pre-questionnaires and focus group discussions. The pre-questionnaires and focus groups were designed to explore participants' understanding and implementation of spatial ability concepts in teaching. NVivo software was used for data analysis, employing nodes and codes to systematically organize responses. Key themes emerged, offering valuable insights into participants' perspectives, motivations, and techniques.
DOI: 10.15468/dl.56zd3q
title: Occurrence Download

description: A dataset containing 1038 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United Kingdom of Great Britain and Northern Ireland",
 "TaxonKey is Catocala promissa (Denis & Schiffermüller), 1775"
 ]
}

 The dataset includes 1038 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0047816-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2fgx9d
title: Occurrence Download

description: A dataset containing 40942 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Littorina littorea (Linnaeus, 1758)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 40942 records from 261 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0047817-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15139/s3/epofqg
title: Low Cost Incubator Development

description: This data set contains logged temperature data measured during evaluation and designed of a low cost incubator for assessing microbial contamination.
DOI: 10.6084/m9.figshare.28017461
title: Supplementary data1 : All characterized GH proteins (retrieved Spring 2023) ez-CAZy_V1a.faa

description: Supplementary data1 : All characterized GH proteins (retrieved Spring 2023) ez-CAZy_V1a.faa
DOI: 10.15468/dl.duese3
title: Occurrence Download

description: A dataset containing 153582 species occurrences available in GBIF matching the query:
{
 "Issue" : [
 "is Coordinate reprojection suspicious"
 ]
}

 The dataset includes 153582 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0047815-241126133413365/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.28017476
title: Supplementary data3 : All characterized CAZy proteins (retrieved November 2024) - ez-CAZy_V2a.faa

description: Supplementary data3 : All characterized CAZy proteins (retrieved November 2024) - ez-CAZy_V2a.faa
DOI: 10.6084/m9.figshare.28017464
title: Supplementary data2 : All characterized GH catalytic domains (retrieved Spring 2023) - ez-CAZy_V1b.faa

description: Supplementary data2 : All characterized GH catalytic domains (retrieved Spring 2023) - ez-CAZy_V1b.faa
DOI: 10.5281/zenodo.14552718
title: Diagnostic Techniques in Cancer & Machinery working in Bharat Cancer Research Institute

description: During my internship at Bharat Cancer Research Institute, I conducted research on various aspects of cancer diagnosis and treatment. The study explored diagnostic methods, ranging from traditional biopsies to advanced imaging techniques such as CT scans and PET scans, focusing on their efficacy in early cancer detection. I also examined treatment modalities, including chemotherapy, immunotherapy, and targeted therapies tailored to specific cancer types. Special attention was given to radiation technologies like X-rays and CT scans, and their role in tumor identification, as well as radiotherapy in treatment. Additionally, I researched the application of nuclear medicine, emphasizing Fluorodeoxyglucose (FDG) in PET scans for metabolic imaging and Prostate-Specific Membrane Antigen (PSMA) in prostate cancer diagnosis, highlighting their impact on cancer staging and monitoring. The research integrated molecular techniques, radiological imaging, and nuclear medicine to enhance understanding of tumor biology and therapeutic outcomes.
DOI: 10.5281/zenodo.14552719
title: Diagnostic Techniques in Cancer & Machinery working in Bharat Cancer Research Institute

description: During my internship at Bharat Cancer Research Institute, I conducted research on various aspects of cancer diagnosis and treatment. The study explored diagnostic methods, ranging from traditional biopsies to advanced imaging techniques such as CT scans and PET scans, focusing on their efficacy in early cancer detection. I also examined treatment modalities, including chemotherapy, immunotherapy, and targeted therapies tailored to specific cancer types. Special attention was given to radiation technologies like X-rays and CT scans, and their role in tumor identification, as well as radiotherapy in treatment. Additionally, I researched the application of nuclear medicine, emphasizing Fluorodeoxyglucose (FDG) in PET scans for metabolic imaging and Prostate-Specific Membrane Antigen (PSMA) in prostate cancer diagnosis, highlighting their impact on cancer staging and monitoring. The research integrated molecular techniques, radiological imaging, and nuclear medicine to enhance understanding of tumor biology and therapeutic outcomes.
DOI: 10.5281/zenodo.14500363
title: Codes and Data for "Quantifying the Contribution of Mesoscale Eddies to Global Internal Wave-Driven Turbulent Mixing"

description: Collection of codes and data used for results of Nature Communications submission "Quantifying the Contribution of Mesoscale Eddies to Global Internal Wave-Driven Turbulent mixing." by Yongqiang Chen, Chuanyu Liu, Fan Wang, Armin Köhl, and Rui Xin Huang.
DOI: 10.5281/zenodo.14500364
title: Codes and Data for "Quantifying the Contribution of Mesoscale Eddies to Global Internal Wave-Driven Turbulent Mixing"

description: Collection of codes and data used for results of Nature Communications submission "Quantifying the Contribution of Mesoscale Eddies to Global Internal Wave-Driven Turbulent mixing." by Yongqiang Chen, Chuanyu Liu, Fan Wang, Armin Köhl, and Rui Xin Huang.
DOI: 10.5281/zenodo.14552741
title: Codes and Data for "Quantifying the Contribution of Mesoscale Eddies to Global Internal Wave-Driven Turbulent Mixing"

description: Collection of codes and data used for results of Nature Communications submission "Quantifying the Contribution of Mesoscale Eddies to Global Internal Wave-Driven Turbulent mixing." by Yongqiang Chen, Chuanyu Liu, Fan Wang, Armin Köhl, and Rui Xin Huang.
DOI: 10.15468/dl.c7rsxd
title: Occurrence Download

description: A dataset containing 40942 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Littorina littorea (Linnaeus, 1758)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 40942 records from 261 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0047819-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d2vuds
title: Occurrence Download

description: A dataset containing 282540 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Africa",
 "TaxonKey is Threskiornis aethiopicus (Latham, 1790)"
 ]
}

 The dataset includes 282540 records from 98 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0047818-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6hr8mh
title: Occurrence Download

description: A dataset containing 40942 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Littorina littorea (Linnaeus, 1758)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 40942 records from 261 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0047820-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14047722
title: Patch-level UNI feature embeddings from colorectal cancer whole slide images (WSIs) in the SurGen dataset

description: This dataset contains UNI patch embeddings derived from the SurGen cohort's whole slide images (WSIs), focused on colorectal cancer cases. Each WSI was processed into 224x224 pixel tissue patches, extracted at a scale of 1.0 microns per pixel (MPP). A 1024-dimensional embedding was computed for each patch using the UNI foundation model[1]. This dataset allows for rapid downstream analysis of tasks such as biomarker prediction, survival analysis, tumour grading, and prognostic modelling. The SurGen dataset, comprising both primary colorectal and metastatic cases, offers a valuable resource for computational pathology research.

Each Zarr file within the dataset contains an array of patch-level features and a corresponding array of coordinates, enabling the retrieval of specific feature locations as needed.

Embeddings are provided in a zip archive and intended for reuse in research focused on digital pathology, tumour genomics, and oncology. For cohort ground truth labels please see the link below.

Access the original dataset: https://doi.org/10.6019/S-BIAD1285

GitHub for more info: https://github.com/CraigMyles/SurGen-Dataset

[1] Chen, R.J., Ding, T., Lu, M.Y., Williamson, D.F.K., et al. Towards a general-purpose foundation model for computational pathology. Nat Med (2024). https://doi.org/10.1038/s41591-024-02857-3