cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3535/ak6-b9k-03r
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/nra-v06-stq
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/43t-j3b-r5h
title: †Leptagonia M'Coy, 1844

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/mr3-ehe-2em
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/6ew-m0p-fpj
title: Equus (Equus) caballus Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/e68-k6l-5ay
title: Ptychophylloceras

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/6v7-p0t-407
title: Rajidae

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/vr6-2zg-zzv
title: Chordata

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/g08-qce-ky1
title: Bos taurus primigenius Bojanus, 1827

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/07z-srb-txf
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/54j-605-df1
title: Cetacea Brisson, 1762

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/3b2-aw2-1c1
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/g93-j7x-6sd
title: Equus (Equus) caballus Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/lca-5g6-94t
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/62t-ad0-8zg
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/694-0fl-tgw
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/s05-mxh-z6s
title: Porites lutea Milne Edwards & Haime, 1851

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/t35-1wm-gkb
title: Maianthemum F.H.Wigg.

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/jtx-397-gvf
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/w4n-6a2-e91
title: Eucytherura (Eucytherura) Müller, 1894

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/q8n-w7q-qt9
title: Cnidaria

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/yyp-1wy-087
title: Cnidaria

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/w5b-es7-73l
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/78t-rv7-451
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/tvs-lgh-vl9
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/a98-rnj-709
title: Cervidae Goldfuss, 1820

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/w4c-t91-2j6
title: †Montlivaltia Lamouroux, 1821

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/bg8-j59-cm1
title: Bison C. H. Smith, 1827

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/r3b-7ez-hxa
title: Neolissoceras

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.25549/pcra-ouc11399cdxb
title: Seiatel' istiny = The sower of truth, vol. 15, no. 2 [i.e. 3] (March 1930)

description: Monthly
DOI: 10.15468/dl.n852wh
title: Occurrence Download

description: A dataset containing 7268495 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Thailand",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Year 2000-2026"
 ]
}

 The dataset includes 7268495 records from 884 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000153-260226173443078/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ga894u
title: Occurrence Download

description: A dataset containing 1763 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lutra lutra",
 "Country is Germany",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1763 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000180-260226173443078/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zwgs2a
title: Occurrence Download

description: A dataset containing 459 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Argentina",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Bombus opifex"
 ]
}

 The dataset includes 459 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000181-260226173443078/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/pcra-ouc11399cdxi
title: Seiatel' istiny = The sower of truth, vol. 15, no. 7 (July 1930)

description: Monthly
DOI: 10.15468/dl.keh7qk
title: Occurrence Download

description: A dataset containing 773 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Caryocar villosum"
 ]
}

 The dataset includes 773 records from 79 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000182-260226173443078/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5683/sp3/njgm61
title: Habitat overlap of Canada lynx and sympatric mesopredators increases following cyclical reduction in primary prey
title: Lynx_co-occurrence_Crowley

description: Habitat covariates and species occurrence
DOI: 10.25549/pcra-ouc11399cdxu
title: Seiatel' istiny = The sower of truth, vol. 16, no. 1 (January 1931)

description: Monthly
DOI: 10.3886/e236421
title: NCES Digest of Education Statistics: Data Tables

description: <b>About the Digest of Education Statistics</b><br>The 2022 edition of the Digest of Education Statistics is the 58th in a series of publications initiated in 1962. The Digest has been issued annually except for combined editions for the years 1977–78, 1983–84, and 1985–86. Its primary purpose is to provide a compilation of statistical information covering the broad field of American education from prekindergarten through graduate school. The Digest includes a selection of data from many sources, both government and private, and draws especially on the results of surveys and activities carried out by the National Center for Education Statistics (NCES). To qualify for inclusion in the Digest, material must be nationwide in scope and of current interest and value. The publication contains information on a variety of subjects in the field of education statistics, including the number of schools and colleges, teachers, enrollments, and graduates, in addition to data on educational attainment, finances, federal funds for education, libraries, and international comparisons. Supplemental information on population trends, attitudes on education, education characteristics of the labor force, government finances, and economic trends provides background for evaluating education data. The Digest contains important information on federal education funding, though more detailed information on federal activities is available from federal education program offices.<br><br>The Digest contains tables organized into seven chapters: All Levels of Education, Elementary and Secondary Education, Postsecondary Education, Federal Funds for Education and Related Activities, Outcomes of Education, International Comparisons of Education, and Libraries and Use of Technology. Each chapter is divided into a number of topical subsections.<br><br><b>About this Dataset<br></b>"nces-digest-statistics-2025-07-13.zip" represents the tables from the Most Current Digest Tables page: https://nces.ed.gov/programs/digest/current_tables.asp, as downloaded 2025-07-13.<br><br>The folder system has three levels. Level 1 is the chapters of the data digest. Level 2 is the subsections of the chapters. Level 3 is a folder each for each table. Each table folder contains an excel file for the table.<br><br>The top level folder contains a catalog csv with a cross walk between the folder name and the original table titles.<br><br>There is also a folder for Machine Readable tables downloaded from this page in the top level folder: https://nces.ed.gov/programs/digest/mrt_tables.asp.<br><br>"Digest_archive.zip" has all of the digest tables in xlsx or xls from 2013, organized by year, then chapter, then subchapter.<br>
description: Data downloaded 2025-07-13 and 2-25-26.
DOI: 10.3886/e236421v2
title: NCES Digest of Education Statistics: Data Tables

description: <b>About the Digest of Education Statistics</b><br>The 2022 edition of the Digest of Education Statistics is the 58th in a series of publications initiated in 1962. The Digest has been issued annually except for combined editions for the years 1977–78, 1983–84, and 1985–86. Its primary purpose is to provide a compilation of statistical information covering the broad field of American education from prekindergarten through graduate school. The Digest includes a selection of data from many sources, both government and private, and draws especially on the results of surveys and activities carried out by the National Center for Education Statistics (NCES). To qualify for inclusion in the Digest, material must be nationwide in scope and of current interest and value. The publication contains information on a variety of subjects in the field of education statistics, including the number of schools and colleges, teachers, enrollments, and graduates, in addition to data on educational attainment, finances, federal funds for education, libraries, and international comparisons. Supplemental information on population trends, attitudes on education, education characteristics of the labor force, government finances, and economic trends provides background for evaluating education data. The Digest contains important information on federal education funding, though more detailed information on federal activities is available from federal education program offices.<br><br>The Digest contains tables organized into seven chapters: All Levels of Education, Elementary and Secondary Education, Postsecondary Education, Federal Funds for Education and Related Activities, Outcomes of Education, International Comparisons of Education, and Libraries and Use of Technology. Each chapter is divided into a number of topical subsections.<br><br><b>About this Dataset<br></b>"nces-digest-statistics-2025-07-13.zip" represents the tables from the Most Current Digest Tables page: https://nces.ed.gov/programs/digest/current_tables.asp, as downloaded 2025-07-13.<br><br>The folder system has three levels. Level 1 is the chapters of the data digest. Level 2 is the subsections of the chapters. Level 3 is a folder each for each table. Each table folder contains an excel file for the table.<br><br>The top level folder contains a catalog csv with a cross walk between the folder name and the original table titles.<br><br>There is also a folder for Machine Readable tables downloaded from this page in the top level folder: https://nces.ed.gov/programs/digest/mrt_tables.asp.<br><br>"Digest_archive.zip" has all of the digest tables in xlsx or xls from 2013, organized by year, then chapter, then subchapter.<br>
description: Data downloaded 2025-07-13 and 2-25-26.
DOI: 10.5281/zenodo.18792634
title: SPECIFIC FEATURES OF ANESTHESIA IN PATIENTS WITH LIVER FAILURE

description: Liver failure represents a complex clinical condition characterized by profound metabolic, hemodynamic, and hematological disturbances that significantly influence perioperative management. Because the liver is central to drug metabolism, protein synthesis, coagulation regulation, immune modulation, and maintenance of systemic homeostasis, hepatic dysfunction creates substantial challenges for anesthesiologists. Altered pharmacokinetics and pharmacodynamics, reduced hepatic blood flow, portal hypertension, ascites, renal dysfunction, and susceptibility to encephalopathy increase perioperative morbidity and mortality. The selection and titration of anesthetic agents require careful consideration of reduced metabolic capacity and altered protein binding. Furthermore, perioperative stress may precipitate hepatic decompensation in vulnerable patients. This article provides a comprehensive and clinically oriented review of pathophysiological alterations in liver failure and discusses evidence-based strategies for preoperative risk stratification, intraoperative anesthetic management, coagulation correction, fluid therapy, and postoperative monitoring. An individualized, multidisciplinary, and physiology-driven approach is essential to optimize outcomes in this high-risk population.
DOI: 10.5281/zenodo.18792633
title: SPECIFIC FEATURES OF ANESTHESIA IN PATIENTS WITH LIVER FAILURE

description: Liver failure represents a complex clinical condition characterized by profound metabolic, hemodynamic, and hematological disturbances that significantly influence perioperative management. Because the liver is central to drug metabolism, protein synthesis, coagulation regulation, immune modulation, and maintenance of systemic homeostasis, hepatic dysfunction creates substantial challenges for anesthesiologists. Altered pharmacokinetics and pharmacodynamics, reduced hepatic blood flow, portal hypertension, ascites, renal dysfunction, and susceptibility to encephalopathy increase perioperative morbidity and mortality. The selection and titration of anesthetic agents require careful consideration of reduced metabolic capacity and altered protein binding. Furthermore, perioperative stress may precipitate hepatic decompensation in vulnerable patients. This article provides a comprehensive and clinically oriented review of pathophysiological alterations in liver failure and discusses evidence-based strategies for preoperative risk stratification, intraoperative anesthetic management, coagulation correction, fluid therapy, and postoperative monitoring. An individualized, multidisciplinary, and physiology-driven approach is essential to optimize outcomes in this high-risk population.
DOI: 10.25549/pcra-ouc11399cdy1
title: Seiatel' istiny = The sower of truth, vol. 16, no. 4 (April 1931)

description: Monthly
DOI: 10.15468/dl.qt7wxb
title: Occurrence Download

description: A dataset containing 142311 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Asclepias syriaca, Amorpha fruticosa)",
 "BasisOfRecord is one of (Observation, Human Observation, Material sample, Specimen, Unknown evidence, Machine Observation, Occurrence evidence)",
 "Year is greater than or equal to 1971",
 "Year is less than or equal to 2025",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "HasGeospatialIssue is false",
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than or equal to 5000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 142311 records from 602 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000107-260226173443078/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s52mwc
title: Occurrence Download

description: A dataset containing 6007 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Eschweilera coriacea"
 ]
}

 The dataset includes 6007 records from 181 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000183-260226173443078/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.twmfyu
title: Occurrence Download

description: A dataset containing 47 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Schizymenia apoda",
 "Country is New Zealand",
 "HasCoordinate is true"
 ]
}

 The dataset includes 47 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010147-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s7necd
title: Occurrence Download

description: A dataset containing 9681 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Myrmecophaga tridactyla"
 ]
}

 The dataset includes 9681 records from 280 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0086514-250717081556266/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.29779832
title: Open-source code for the Spatial Optimization Model for Land Use (SSFLA-MLAS)

description: The open-source content is the source code of a land use spatial optimization model (SSFLA-MLAS) that couples the spatial leapfrog algorithm with multi-level multi-agent systems. The related paper is titled "Multi-objective synergy and hierarchical decision-making in land use optimization: Coupling bionic algorithm with multi-level agent". Since this research is still in the submission stage, the following is a summary of the research for ease of understanding.Land use optimization is a crucial method to reduce carbon emission and promote sustainable development. However, existing optimization models exhibit limitations in addressing complex human-land conflicts: (1) Local-scale models fail to incorporate spatial non-stationarity constraints and multi-level agent interactions, resulting in inadequate representation of heterogeneous decision-making. (2) Global-scale methods struggle with the endogenization of geographical rules, hindering effective translation of numerical solutions into spatial configurations. (3) The insufficient spatial-scale compatibility between global and local optimizations, coupled with shallow model integration and the absence of multi-scale feedback mechanisms, collectively constrain their application in supporting low-carbon-oriented territorial spatial management. Therefore, this study constructs a multi-objective optimization scenario under low-carbon development, introducing a new coupling model (SSFLA-MLAS). It designs a multi-level agent system (MLAS) where mapping and interaction coexist, and creates a spatialized frog leaping algorithm (SSFLA) by reconfiguring heuristic operators. The coupling of multi-models is achieved through an internal and external nested approach. The results, using Huangpi District as the experimental area, demonstrate that: (1) SSFLA-MLAS outperforms single algorithms in effectiveness and efficiency, achieving multi-objective benefits 3.4%, 32.5% and 26.5% greater than SSFLA, MLAS and MAS. (2) MLAS improves the comprehensive landscape pattern index by 26.4% over MAS while aligning spatial layouts with development strategies. (3) SSFLA-MLAS demonstrates remarkable optimization results, improving economic, social and ecological objectives by 5.01%, 2.87% and 0.74%, while enhancing carbon sinks by 1.38%. This research provides both a methodological framework for achieving sustainable development goals and novel insights into coupling global optimization with local simulation for modeling.
DOI: 10.6084/m9.figshare.29779832.v1
title: Open-source code for the Spatial Optimization Model for Land Use (SSFLA-MLAS)

description: The open-source content is the source code of a land use spatial optimization model (SSFLA-MLAS) that couples the spatial leapfrog algorithm with multi-level multi-agent systems. The related paper is titled "Multi-objective synergy and hierarchical decision-making in land use optimization: Coupling bionic algorithm with multi-level agent". Since this research is still in the submission stage, the following is a summary of the research for ease of understanding.Land use optimization is a crucial method to reduce carbon emission and promote sustainable development. However, existing optimization models exhibit limitations in addressing complex human-land conflicts: (1) Local-scale models fail to incorporate spatial non-stationarity constraints and multi-level agent interactions, resulting in inadequate representation of heterogeneous decision-making. (2) Global-scale methods struggle with the endogenization of geographical rules, hindering effective translation of numerical solutions into spatial configurations. (3) The insufficient spatial-scale compatibility between global and local optimizations, coupled with shallow model integration and the absence of multi-scale feedback mechanisms, collectively constrain their application in supporting low-carbon-oriented territorial spatial management. Therefore, this study constructs a multi-objective optimization scenario under low-carbon development, introducing a new coupling model (SSFLA-MLAS). It designs a multi-level agent system (MLAS) where mapping and interaction coexist, and creates a spatialized frog leaping algorithm (SSFLA) by reconfiguring heuristic operators. The coupling of multi-models is achieved through an internal and external nested approach. The results, using Huangpi District as the experimental area, demonstrate that: (1) SSFLA-MLAS outperforms single algorithms in effectiveness and efficiency, achieving multi-objective benefits 3.4%, 32.5% and 26.5% greater than SSFLA, MLAS and MAS. (2) MLAS improves the comprehensive landscape pattern index by 26.4% over MAS while aligning spatial layouts with development strategies. (3) SSFLA-MLAS demonstrates remarkable optimization results, improving economic, social and ecological objectives by 5.01%, 2.87% and 0.74%, while enhancing carbon sinks by 1.38%. This research provides both a methodological framework for achieving sustainable development goals and novel insights into coupling global optimization with local simulation for modeling.
DOI: 10.15139/s3/gehvsp
title: Data Management and Sharing Plan for: Biased PAR1 Agonism in Sickle Cell Disease

description: The Data Management and Sharing Plan describes the scientific data to be generated and/or used in the research and outlines a strategy for managing and sharing project data.
description: Data Management and Sharing Plan