cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/pnd4kp9r3c
title: প্রাগাধুনিক বাংলা হস্তলিপি: ঐতিহ্যের শিল্পিত রূপান্তর ও ইতিহাসের নীরব ভাষ্য

description: সারসংক্ষেপ:
 বাংলা ভাষার প্রাচীনতম লিখিত ঐতিহ্যের নিদর্শন হস্তলিপি, যা কেবল ভাষার বাহ্যিক রূপ নয়, বরং এক অমূল্য সাংস্কৃতিক ঐতিহ্য। এই প্রবন্ধে প্রাগাধুনিক বাংলার পুথি ও হস্তলিপির ঐতিহাসিক বিকাশ, শৈল্পিক গুণাবলী, সামাজিক ও সাংস্কৃতিক তাৎপর্য বিস্তারিতভাবে আলোচনা করা হয়েছে। প্রাচীন তক্ষশীলা ও নালন্দা বিশ্ববিদ্যালয়ের তালপাতা ও ভোজপাতায় লেখা পাণ্ডুলিপি থেকে শুরু করে মধ্যযুগের বাংলার পুথি-সংস্কৃতি—প্রতিটি ধাপই ছিল একটি নীরব শিল্পকর্মের অবিচ্ছিন্ন অংশ। প্রবন্ধে হস্তলিপির গঠনশৈলী, ক্যালিগ্রাফি, এবং লিপিকরদের দক্ষতার পরিচয় তুলে ধরা হয়েছে। পাশাপাশি, প্রতিলিপি নির্মাণের প্রক্রিয়া এবং তার সামাজিক প্রভাবও আলোচিত হয়েছে। হস্তলিপির মাধ্যমে সংরক্ষিত এই সাহিত্যিক ঐতিহ্য শুধু ভাষার ধারকই নয়, তা বাংলার সাহিত্যিক বিকাশের সোপানও। অতীতের সেই মূল্যবান নিদর্শনগুলি কেবল আমাদের ঐতিহ্যের গর্ব নয়; এটি বাংলা সাহিত্যের অমরত্বের সুরক্ষা। এই গবেষণালব্ধ আলোচনা আমাদের বর্তমান প্রজন্মকে এই ঐতিহ্য সংরক্ষণের দায়বদ্ধতার প্রতি সচেতন করবে।
সূচক শব্দ: , হস্তলিপি, প্রাগাধুনিক বাংলা, পাণ্ডুলিপি, ক্যালিগ্রাফি, লিপিকর, সাহিত্যিক ঐতিহ্য, প্রতিলিপি নির্মাণ।
ভূমিকা:
 লিপির ইতিহাস মানব সভ্যতার অগ্রগতির অন্যতম প্রমাণ। প্রাগৈতিহাসিক যুগে গুহাচিত্র ও প্রত্নতাত্ত্বিক নিদর্শনে ভাষার সূচনা পরিলক্ষিত হয়, যা পরবর্তীতে হস্তলিপির মাধ্যমে শিল্পমণ্ডিত রূপে বিকশিত হয়। বাংলার সাহিত্যিক ঐতিহ্যেও হস্তলিপির ভূমিকা অপরিসীম। প্রাচীন পুথি, তালপাতা ও ভোজপাতায় লিপিবদ্ধ গ্রন্থসমূহ আজও ইতিহাসের নিরব সাক্ষ্য বহন করে। তক্ষশীলা ও নালন্দা বিশ্ববিদ্যালয়ের ভান্ডারে সংরক্ষিত পাণ্ডুলিপিগুলি আমাদের কাছে একদিকে জ্ঞানচর্চার নিদর্শন, অন্যদিকে শিল্পিত ক্যালিগ্রাফির অপূর্ব উদাহরণ। বাংলার পুথি-সংস্কৃতি, যা মূলত মৌখিক পরম্পরায় শুরু হলেও, পরবর্তীতে লিপিকরদের নিপুণ হাতে হস্তলিপিতে রূপান্তরিত হয়। এ লেখনীতে প্রতিফলিত হয়েছিল বাংলার সামাজিক, সাংস্কৃতিক ও ধর্মীয় ভাবনার নিপুণ প্রকাশ। তাই, বাংলার হস্তলিপি কেবলমাত্র ভাষার বাহন নয়; এটি এক মহাকালের শিল্পিত সাক্ষ্য, যা প্রজন্ম থেকে প্রজন্মে ছড়িয়ে পড়েছে।
• হাতের লেখার ঐতিহ্য ও সাহিত্যিক মূল্যবোধ
“হাতের লেখা খারাপ হলে ক্ষতি নেই, লেখার হাত ভাল হওয়াই আসল।”—এই প্রবচন সাহিত্যিক সৃষ্টির গভীরতম তত্ত্বের প্রতিফলন। সাহিত্যের মর্মস্পর্শী অনুভূতি, চিন্তার গভীরতা ও কাব্যময়তা হাতের লেখার শৈল্পিকতার ওপর নির্ভর করে না; বরং লেখার অন্তর্নিহিত ভাব ও সৃজনশীলতায় তার অমরত্ব নিহিত। বাংলাসাহিত্যের বহু মনীষীর হস্তলিখিত পাণ্ডুলিপি থেকে দেখা যায়, হাতের লেখা যতই অস্পষ্ট হোক, চিন্তার গভীরতা ও কাব্যময়তার সৌকর্য আজও পাঠককে মুগ্ধ করে।
• প্রাচ্য ও পাশ্চাত্যের হস্তলিখিত পাণ্ডুলিপি: 
প্রাচীন ভারতীয় জ্ঞানচর্চার দুই গুরুত্বপূর্ণ কেন্দ্র নালন্দা ও তক্ষশীলা বিশ্ববিদ্যালয় ছিল বিশ্ববিখ্যাত। তক্ষশীলা বিশ্ববিদ্যালয়ে আয়ুর্বেদ, গণিত, জ্যোতিষশাস্ত্র, দর্শন প্রভৃতি বিষয়ে তালপাতা ও ভোজপাতায় লেখা অগণিত পাণ্ডুলিপি সংরক্ষিত ছিল। শিক্ষার্থীরা হস্তলিপি শিখত এবং তা অলংকৃত ক্যালিগ্রাফি ও সূক্ষ্ম চিত্রাঙ্কনে সমৃদ্ধ ছিল। হিউয়েন সাং-এর বিবরণ অনুযায়ী, নালন্দার গ্রন্থাগারে তিনটি বিভাগ—Ratnasagara, Ratnadadhi এবং Ratnaranjaka—ছিল, যেখানে দর্শন, চিকিৎসাশাস্ত্র, সাহিত্য ও ধর্মীয় তত্ত্ব সংক্রান্ত পাণ্ডুলিপি সংরক্ষিত ছিল।
.....
DOI: 10.6084/m9.figshare.28787966.v1
title: Data of <b>High-speed readout for direct light orbital angular momentum photodetector via photoelastic modulation</b>

description: All data of figures in Manuscript and Supplementary information for <b>High-speed readout for direct light orbital angular momentum photodetector via photoelastic modulation</b>
DOI: 10.6084/m9.figshare.3554493.v1
title: Supplement 1. R code for fitting the individual-specific HMMs and HSMMs, for computing the HSMM residuals, for fitting the hierarchical HSMM, and observations for one of the bison, as well as an updated more efficient version of the code.

description: File List (Older version) 1_individual_specific_HMMs_and_HSMMs.r (md5: 480705d7fbaa10185b499a13c72dff91) 2_residuals_for_HSMMs.r (md5: f49e03aedde8c09cad8325ce72b87a8b) (Older version) 3_hierarchical_HSMM.r (md5: c5e3234dcbc9a81079411c26e85892d2) 4_obs.txt (md5: b5eea7bba207da7711801939d10da124) <b>Revised, more efficient code. Received and published 5 February 2015:</b> 1_individual_specific_HMMs_and_HSMMs_revised.r.R (MD5: c4ec48927645e403ed9e3c6b7df22f9f) 3_hierarchical_HSMM_revised.r.R (MD5: 5f11bc3831bd8c7a93f7560d304e6f56) Description The supplements give R implementations of the methods described in the paper. The first supplement gives R code for fitting individual-specific HMMs and HSMMs. The second supplement gives R code for computing residuals for fitted HSMMs. The third supplement gives R code for fitting the hierarchical HSMM described in Section 5 of the main manuscript. The fourth supplement gives an example bivariate time series, the step lengths and turning angles for one of the bison considered in the main manuscript, that can be analyzed using the first supplement.
DOI: 10.17632/xr3xvw977y
title: Data for: The formation and development of coral reefs in the South China Sea

description: minerals, elements, carbon-oxygen and Sr isotopes
DOI: 10.6084/m9.figshare.19070084.v1
title: A global map of planting years of plantations

description: The dataset has a spatial resolution of 30 m. It is in a GeoTIFF format and has three bands named "plantyear" ,"startyear" and "species", which describe the planting years and the species of trees, and the year in which Landsat TM, ETM+ and OLI data began to accumulate. The "startyear" band should be used as the Quality Assessment (QA) band for this dataset because the supplementary value from 1982 to the start year may contain erroneous LandTrendr estimates of planting years.<br>The values of the three bands range from 1981 to 2019, 0 to 2020 and 1 to 190, respectively. For the "plantyear" band, a value of 1981 means the planting year was before 1982, and values from 1982 to 2019 correspond to the planting years. A value of 0 in the "startyear" band indicates that no Landsat data from June to September was obtained for the pixel during the period 1982–2020. Values from 1 to 1981 are not present and values 1982–2020 show the year when Landsat data started to accumulate. Values 1–190 in the "species" band represent tree species provided by the SDPT.
DOI: 10.6084/m9.figshare.19394162.v1
title: Coral reefs coverage map of the Mexican Caribbean: Cabo Catoche – Xcalak

description: The map represents the spatial distribution of coral reef cover in shallow waters of the Mexican Mesoamerican Barrier Reef System, from Cabo Catoche to Xcalak, in an area of 1001 km<sup>2</sup>, with an average maximum depth of 18 m. It is generated from the benthic coverage map of the marine ecosystems of the Mexican Caribbean: Cabo Catoche - Xcalak, combining the classes: (i) coral reef structure, (ii) octocorals and (iii) octocorals and corals. The benthic cover map was obtained from bottom reflectance, relief and bathymetry, coming from the analysis of 23 WorldView-2 satellite images (2009-2015). This product is the result of the ArrecifeSAM project, coordinated by CONABIO as part of the Marine-Coastal Information and Analysis System (SIMAR) (https://simar.conabio.gob.mx).<br><b>Acknowledgement</b>The authors acknowledge the logistical and technical support provided by National Financial Trust Fund for Biodiversity, the National Commission for the Knowledge and Use of Biodiversity (CONABIO), National Commission of Natural Protected Areas Mexico (CONANP), and National Autonomous University of Mexico, UNAM (UASA Marine Science and Limnology Institute, Science Faculty - Academic Unit Sisal).<br><br>
DOI: 10.6084/m9.figshare.22691416.v2
title: Untitled Item

description: The MIDOG++ dataset represents an extension of the data set used in the MIDOG 2021 and 2022 challenges. We provide region of interest images from 503 histological specimens of seven different tumor types with variable morphology: breast carcinoma, lung carcinoma, lymphosarcoma, neuroendocrine tumor, cutaneous mast cell tumor, cutaneous melanoma, and (sub)cutaneous soft tissue sarcoma. The human and canine samples were processed and stained at different human and veterinary pathology laboratories with standard H&E dye and digitized with different digital whole slide image scanners. We provide labels for 11,937 mitotic figures that have been differentiated against 14,351 imposter cells in a blinded consensus by two pathologists and a final decision by a third pathologist for disagreed labels.
DOI: 10.6084/m9.figshare.24271828.v1
title: Spectral Flow Cytometry Experiment (Young & Aged)

description: csv files of Spectral Flow Cytometry analysis of the small intestine of 3 young and 3 aged mice.Data related to Figures 4A-D+G, S3F and S4A-I of the manuscript.Data analysis as described in the Star Methods section of the manuscript.
DOI: 10.6084/m9.figshare.28535423.v1
title: Sensor moisture data

description: This is the soil moisture data used to calculate root water uptake from different soil layers in a wheat field and grassland fields in a paper published in New Phytologist (2025), "Field plants strategically regulate water uptake from different soil depths by spatiotemporally adjusting their radial root hydraulic conductivity", doi: 10.1111/nph.70013.
DOI: 10.17632/99x7hhsr8g
title: Dynamics of subsurface migration of water on the Moon

description: Dataset for the JGR publication (submitted 07/12/2020, under review): Reiss et al (xxxx), Dynamics of subsurface migration of water on the Moon
DOI: 10.6084/m9.figshare.24453214.v1
title: Data for ["Delayed ENSO impact on phytoplankton variability over the Western North Pacific"]

description: We used long-term climate simulation of Geophysical Fluid Dynamic Laboratory (GFDL) - CM2.1 (Delworth et al., 2006), fully coupled with oceanic biogeochemical (BGC) model – TOPAZv2 (Tracers of Ocean Phytoplankton with Allometric Zooplankton Version 2;Dunne et al., 2013) as the same as that used in (Lim et al., 2021; Oh et al., 2022). We used monthly output from 1000-year long-term control simulation applying a fixed atmospheric<sub> </sub>CO<sub>2</sub> concentration of 353 ppm (1990 level). SCHL and surface nutrient values from the model data were averaged over the upper 30m depth. An El Niño event was defined as the winter season (December - January - February; DJF) index of the Nino3.4 region (Nino3.4 index; 5S-5N / 170W-120W) being greater than 1 standard deviation from the total period, and 176 cases were selected from total 1000-year model simulation.
DOI: 10.6084/m9.figshare.25130783.v1
title: Dataset for "Production of Neoproterozoic banded iron formations in a partially ice-covered ocean" by Gianchandani et al.

description: We employ the Massachusetts Institute of Technology General Circulation Model (MITgcm) to conduct near-global ocean simulations that include representation of sea glaciers extending to a prescribed latitude, and a novel biogeochemical model tailored to the Neoproterozoic era. The dataset comprises distributions of phosphate, oxygen, and ferrous iron for various combinations of mean seawater phosphate concentration and the meridional extent of sea glaciers.Note that the dataset presents model outputs as the decadal averages for the last 100 years of the simulation. We have also provided a Juypter notebook (figures_gianchandani2024production.ipynb) that can be used to produce the figures presented in our study.
DOI: 10.6084/m9.figshare.28270763.v1
title: Transforming Education through AI and Technology: Bridging the Gaps and Enhancing Learning

description: This article explores the transformative potential of technology in Bangladesh’s education system, focusing on its role in enhancing learning outcomes, teaching practices, and access to education. It highlights the challenges and barriers to the integration of digital tools, including limited access to technology, financial constraints, inadequate infrastructure, and socio-cultural factors such as gender bias. The article also examines the critical role of stakeholders—including the government, NGOs, and families—in fostering an environment that supports the adoption of technology in education. By addressing these challenges and providing actionable recommendations, the article aims to contribute to more inclusive and equitable educational opportunities for students, particularly in rural and underserved areas.
DOI: 10.6084/m9.figshare.28329488.v1
title: Annex II Framings

description: Originally used in Kalpakchiev et al., 2015
DOI: 10.17632/gx66wsgwkr
title: Robust portfolio selection with smart return prediction

description: We propose a robust portfolio framework that optimizes parameters in return prediction by maximizing robust mean-variance utility. The proposed framework effectively combines return prediction and portfolio decisions while mitigating the uncertainty in return prediction.

The data includes monthly firm-level returns and firm-level characteristics from January 1976 to December 2021.
DOI: 10.17632/y5vhrdzjn2
title: On the role of loanwords in modern Russian

description: The topic of borrowing in the Russian language remains a favorite object of study for both domestic and foreign linguists. This article presents the ways of penetration of lexical borrowings into Russian from different languages; identifies the areas of Anglicism using in modern Russian; considers loan words from the border areas on the example of Yakutian. Studies have shown that not only Russian has had a considerable impact on the languages of the indigenous peoples of the national republics, enriching them with new words. Also, the lexics of the Russian language itself has been subjected to a particular influence of national languages.
DOI: 10.6084/m9.figshare.25296250.v1
title: Shi et.al. Climate change will impact the value and optimal adoption of residential rooftop solar. Nature climate change, 2024

description: Codes: It contains codes related to the model and figure plots.Data: It contains household level value of solar and optimal solar capacity across climate change.
DOI: 10.6084/m9.figshare.26403262.v1
title: README

description: It includes basic information for the dataset.
DOI: 10.6084/m9.figshare.4657195.v1
title: Week 6 - Intro to spectral remote sensing data to understand fire

description: Fire remote sensing data including<br><br>Landsat data<br>Modis Data<br>NAIP data<br><br>for the 2016 coldsprings fire in Colorado. July 2016<br>
DOI: 10.6084/m9.figshare.5101150.v3
title: Frangula alnus chorology

description: Distribution map of alder buckthorn (<i>Frangula alnu</i>s)<br><br>These maps were produced by combining numerous and heterogeneous data collected from atlas monographs providing complete species distribution maps, from national to regional atlases, occurrence geo-databases, scientific and grey literature.<br>The maps were created using ESRI shapefiles (*.shp, *.shx, *.dbf, *.prj files) archived in the ZIP file. Species range is mapped with polygon features (name suffix "plg"), which define continuous areas of occupancy of the species, and with point features (name suffix "pnt"), which identify more fragmented and isolated populations. If synanthropic occurrences are reported outside the species natural range, additional point and/or polygon shapefiles are also present (suffix "syn"). <br>Polygon borders delimiting species ranges are generalized across the mainland and sea boundaries. This offers the possibility to mask sea areas or to clip and extract the terrestrial range parts using GIS data layers of the users' choice. An additional version of polygon ranges are clipped with a coastline (name suffix "clip"), which have been derived from Natural Earth dataset "Admin 0 - Countries" 1:50M version 4.1.0 (https://www.naturalearthdata.com). <br><br>Please cite as:<br>Caudullo, G., Welk, E., San-Miguel-Ayanz, J., 2017. Chorological maps for the main European woody species. Data in Brief 12, 662-666. DOI: doi.org/10.1016/j.dib.2017.05.007 <br><br>Additional information and used references are on 'supplementary materials' document:<br>https://doi.org/10.6084/m9.figshare.5091901<br><br>Chorological maps are part of the "European Atlas of Forest Tree Species" project:<br>https://w3id.org/mtv/FISE-Comm/v01
DOI: 10.60893/figshare.apl.28928027.v1
title: Towards heralded single-photon storage via chiral-cavity-enhanced spontaneous Raman scattering

description: The dependence of the cross-correlation function on the storage time 
The dependence of the excitation probability on the power of the write pulse
DOI: 10.17632/mkmtpx2x5g
title: Prevalence of Irritable bowel syndrome before and during menstrual cycle among college going students

description: This study aimed to investigate the prevalence of irritable bowel syndrome before and during the menstrual cycle among college going students. Irritable bowel syndrome (IBS) is a common functional gastrointestinal disorder, is characterized by abdominal pain, discomfort, and erratic bowel habits without evidence of organic disease. It affects individuals of all ages and genders, but it is more prevalent in women. Women with bowel disorder often more severe symptoms during their menstrual cycle. The exact cause of IBS is multifactorial and likely involves a combination of genetic, environmental, and psychosocial factors. An online survey study was carried out among college going students. Data was collected through self made questionnaire on college going students. Total 185 students participated in this study. Among the participants, 153 (82.7%) reported being
familiar with IBS and their symptoms, while 32 (17.3%) were unaware of this condition. Participants were questioned about their IBS symptoms before and during their menstrual cycle. Significant number of participants experience symptoms of IBS before and during their menstrual cycle. This indicated a noteworthy prevalence of menstrual cycle related exacerbation of IBS symptoms among college going students.
DOI: 10.6084/m9.figshare.24147423.v1
title: syntheticUniform_rippleData

description: Simulated data of sharp-wave ripples using a uniform distribution of frequencies
DOI: 10.6084/m9.figshare.29062367.v1
title: Kyanite as a Petrogenetic Archive of the Metamorphic Reactions and Fluid Metasomatism in Aluminous rocks

description: Supporting information includes two tables and three figures
DOI: 10.25378/janelia.24239053.v1
title: Manual organelle segmentations (crop31) in near-isotropic, reconstructed volume electron microscopy (FIB-SEM) of macrophage cell (jrc_macrophage-2)

description: <b>This acquisition is part of the CellMap 2024 Segmentation Challenge</b><br><br>- <b>Challenge DOI:</b> https://doi.org/10.25378/janelia.c.7456966<br><br>- <b>Challenge Website:</b> https://cellmapchallenge.janelia.org/<br><br><b>Annotation description</b>: Dense segmentations of extracellular space, plasma membrane, mitochondrial membrane, mitochondrial lumen, vesicle membrane, endosome membrane, vesicle lumen, endoplasmic reticulum lumen, endoplasmic reticulum membrane, lysosome lumen, lysosome membrane, endosome lumen, cytosol, lysosome, endosome, vesicle, mitochondria, endoplasmic reticulum, cell, endoplasmic reticulum membrane collective in jrc_macrophage-2 using Amira 3D 2021.1, Classic Segmentation Workroom and the 'Using Amira to manually segment organelles in vEM for machine learning V.3' annotation protocol.<br><br><b>Annotation ID</b>: crop31<br><br><b>Primary Annotator</b>: Woohyun Park<br><br><b>Annotation protocol</b>: Using Amira to manually segment organelles in vEM for machine learning V.3 (http://dx.doi.org/10.17504/protocols.io.bp2l61rb5vqe/v3)<br><br><b>Software</b>: Amira 3D 2021.1, Classic Segmentation Workroom<br><br><b>Annotated voxel size (nm)</b>: 2 x 2 x 2 (x, y, z)<br><br><b>Annotated data dimensions (µm)</b>: 0.6 x 0.6 x 0.6 (x, y, z)<br><br><b>Annotated data offset (nm)</b>: 16079 x 3299 x 35319 (x, y, z)<br><br><b>Classes annotated</b>: extracellular space, plasma membrane, mitochondrial membrane, mitochondrial lumen, vesicle membrane, endosome membrane, vesicle lumen, endoplasmic reticulum lumen, endoplasmic reticulum membrane, lysosome lumen, lysosome membrane, endosome lumen, cytosol, lysosome, endosome, vesicle, mitochondria, endoplasmic reticulum, cell, endoplasmic reticulum membrane collective<br><br><b>Dataset URL</b>: s3://janelia-cosem-datasets/jrc_macrophage-2/jrc_macrophage-2.zarr/recon-1/labels/groundtruth/crop31<br><br><b>Source (EM) dataset ID</b>: jrc_macrophage-2<br><br><b>Source (EM) voxel size (nm)</b>: 4 x 4 x 4 (x, y, z)<br><br><b>Source (EM) data dimensions (µm)</b>: 40 x 8 x 44.35 (x, y, z)<br><br><b>Source (EM) DOI</b>: https://doi.org/10.25378/janelia.13114343<br><br><b>Visualization website</b>: https://openorganelle.janelia.org/datasets/jrc_macrophage-2<br><br><b>Publication:</b> <i>CellMap Segmentation Challenge,</i> 2024.<br><br><b>The CellMap Project Team during this time consisted of:</b> David Ackerman, Davis Bennett, Marley Bryant, Hannah Nguyen, Grace Park, Alyson Petruncio, Alannah Post, Jacquelyn Price, Diana Ramirez, Jeff Rhoades, Rebecca Vorimo, Aubrey Weigel, Marwan Zouinkhi, Yurii Zubov.<br><br><b>The CellMap Project Team Steering Committee during this time consisted of:</b> Misha Ahrens, Christopher Beck, Teng-Leong Chew, Daniel Feliciano, Jan Funke, Harald Hess, Wyatt Korff, Jennifer Lippincott-Schwartz, Zhe J. Liu, Kayvon Pedram, Stephan Preibisch, Stephan Saalfeld, Ronald Vale, and Aubrey Weigel.
DOI: 10.6084/m9.figshare.12830405.v1
title: Molecular-based cross-species evaluation of bovine coronavirus infection in cattle, sheep and goats in Ghana.

description: This is the dataset associated with the manuscript: Molecular-based cross-species evaluation of bovine coronavirus infection in cattle, sheep and goats in Ghana.
DOI: 10.6084/m9.figshare.25909630.v1
title: ANEMIA CKD FINAL manuscript.xlsx

description: patients admitted to outpatient between 2010 and 2018 in a University Medical Service specialized in CKD of the Discipline of Nephrology at Escola Paulista de Medicina/ Federal University of São Paulo (EPM/ UNIFESP). Demographic data (sex, age, anthropometric measurements, comorbidities), cause and stage of CKD, and medications in use. Laboratory tests: complete blood count, venous blood gas analysis, lipid profile, glycemic profile, iron profile, creatinine, urea, uric acid, sodium, potassium, phosphorus, parathyroid hormone, total calcium, and alkaline phosphatase, in addition to urine analysis.
DOI: 10.6084/m9.figshare.28208183.v1
title: OADR 2024_2074 ITASWE.xlsx

description: OADR 2024-2074 Italy and Sweden Un Population data
DOI: 10.15468/dl.hzf23r
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sagamichthys schnakenbecki (Krefft, 1953)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((37.8208 19.3058,37.7519 19.8496,35.9648 19.8496,35.9648 10.8496,44.9648 10.8496,44.9648 11.0757,44.5079 10.8984,44.021 11.3535,43.8449 12.4869,43.4392 13.1773,42.7805 13.6576,42.3014 14.2854,41.9925 14.3935,41.4722 15.0272,40.477 15.6908,40.2575 16.0951,39.9024 16.3482,38.9748 18.3342,37.8208 19.3058))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013180-250525065834625/datasets/export for details.