cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.9v8e5y
title: Occurrence Download

description: A dataset containing 30 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Apenes nebulosa LeConte, 1867",
 "Year is greater than or equal to 1950",
 {
 "or" : [
 "GadmGid is USA",
 "GadmGid is CAN",
 "GadmGid is MEX"
 ]
 }
 ]
}

 The dataset includes 30 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008633-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.c5bcta
title: Occurrence Download

description: A dataset containing 4293 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "TaxonKey is Myotis velifer (J.A.Allen, 1890)",
 "Year 1960-2025"
 ]
}

 The dataset includes 4293 records from 61 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008631-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16944405
title: Dataset - Urban Agenda for the European Union (UAforEU)

description: The Urban Agenda for the European Union (UAforEU), adopted through the Pact of Amsterdam in 2016, sets the priorities related to the urban policy at the European level. It is the result of a policy process that dates to the 1990s, when the European Commission approved the Communication ‘Towards an EU Urban Agenda in the EU’ (COM (97)197). This document laid the foundation for a more integrated and coordinated approach to urban policy at the EU level. Moreover, the UAforEU is meant to contribute to the implementation of the Sustainable Development Goal 11, and the global New Urban Agenda, as part of the Habitat III process.

The UAforEU has introduced an innovative working method based on Thematic Partnerships (TPs) that are conceived as ‘delivery mechanisms’ within a multilevel governance framework. This method recognizes the increased interdependence of public authorities operating at different territorial levels, as well as the interconnectedness between public authorities and non-state stakeholders. It is aimed at fostering network governance and inspired in the so-called ‘Dutch Approach’ to urban development and the ‘City Deals’ launched by the country in 2015.
DOI: 10.5281/zenodo.16944406
title: Dataset - Urban Agenda for the European Union (UAforEU)

description: The Urban Agenda for the European Union (UAforEU), adopted through the Pact of Amsterdam in 2016, sets the priorities related to the urban policy at the European level. It is the result of a policy process that dates to the 1990s, when the European Commission approved the Communication ‘Towards an EU Urban Agenda in the EU’ (COM (97)197). This document laid the foundation for a more integrated and coordinated approach to urban policy at the EU level. Moreover, the UAforEU is meant to contribute to the implementation of the Sustainable Development Goal 11, and the global New Urban Agenda, as part of the Habitat III process.

The UAforEU has introduced an innovative working method based on Thematic Partnerships (TPs) that are conceived as ‘delivery mechanisms’ within a multilevel governance framework. This method recognizes the increased interdependence of public authorities operating at different territorial levels, as well as the interconnectedness between public authorities and non-state stakeholders. It is aimed at fostering network governance and inspired in the so-called ‘Dutch Approach’ to urban development and the ‘City Deals’ launched by the country in 2015.
DOI: 10.25574/22700
title: Chandra X-ray Observatory ObsId 22700

description: HIGH-RESOLUTION IRON LINE DIAGNOSTICS IN THE HIGHLY OBSCURED X-RAY BINARY IGR J163184-848 WITH Chandra/HETGS AND NuSTAR
DOI: 10.5066/p958s4xr
title: Percent volumes of insects consumed by the western small-footed bat (Myotis ciliolabrum) captured at Chaco Culture National Historical Park, El Malpais National Monument and El Malpais National Conservation Area, Mesa Verde National Park, Pecos National Historical Park, Guadalupe Mountains National Park, and Capulin Volcano National Monument, USA

description: This dataset represents the date and related identification number for each guano sample collected from the western small-footed bat (Myotis ciliolabrum) captured at Chaco Culture National Historical Park, El Malpais National Monument and El Malpais National Conservation Area, Mesa Verde National Park, Pecos National Historical Park, Guadalupe Mountains National Park, and Capulin Volcano National Monument, USA. Additionally, from analyses of guano, percent volumes of insects consumed by M. ciliolabrum with totals for each sample equal to 100%. Some samples may not equal 100% due to rounding up of calculated percentages, particularly for percent frequency.
DOI: 10.15468/dl.xf8jkw
title: Occurrence Download

description: A dataset containing 12 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tecoma stans",
 "Country is Eswatini",
 "HasCoordinate is true"
 ]
}

 The dataset includes 12 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043413-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yfrb2s
title: Occurrence Download

description: A dataset containing 58 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tecoma stans",
 "Country is Ethiopia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 58 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043414-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.97v752
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tecoma stans",
 "Country is Micronesia (Federated States of)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 5 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043415-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16905647
title: MDSINE2 Cross-Validation Analysis (Healthy Cohort)

description: MDSINE2 Inference Analysis files. This archive contains all output files from the cross-validation inference (with comparator analysis included) for Healthy cohort. (Both healthy and dysbiotic cohorts are required to run the Jupyter Notebook (`fig4_semisynthetic_v2_cache.ipynb`) on our MDSINE2_Paper repo. For the Dysbiotic cohort files, refer to https://zenodo.org/records/16915340.

For the full project/source pipeline, refer to https://github.com/gerberlab/MDSINE2_Paper.

The archive here was created using the command `tar --zstd -cvf`, and then split using the unix "split" command. To unpack these files, please use the following command:

cat cross_validation_healthy.tar.zst.part* > cross_validation_healthy.tar.zst
tar -I zstd -xvf cross_validation_healthy.tar.zst

These files should be unpacked and placed in the paper repository directory (wherever you did `git clone`), so that the `datasets` directory is directly inside `MDSINE2_Paper` repository directory. 

------------

Related zenodo records:

https://doi.org/10.5281/zenodo.8208502 -- Full MDSINE2 inference on Healthy cohort

https://doi.org/10.5281/zenodo.16915340 -- MDSINE2 Cross-Validation run (Dysbiotic cohort)

https://doi.org/10.5281/zenodo.16915311 -- MDSINE2 semisynthetic dataset
DOI: 10.5281/zenodo.8006853
title: MDSINE2 Cross-Validation Analysis (Healthy Cohort)

description: MDSINE2 Inference Analysis files. This archive contains all output files from the cross-validation inference (with comparator analysis included) for Healthy cohort. (Both healthy and dysbiotic cohorts are required to run the Jupyter Notebook (`fig4_semisynthetic_v2_cache.ipynb`) on our MDSINE2_Paper repo. For the Dysbiotic cohort files, refer to https://zenodo.org/records/16915340.

For the full project/source pipeline, refer to https://github.com/gerberlab/MDSINE2_Paper.

The archive here was created using the command `tar --zstd -cvf`, and then split using the unix "split" command. To unpack these files, please use the following command:

cat cross_validation_healthy.tar.zst.part* > cross_validation_healthy.tar.zst
tar -I zstd -xvf cross_validation_healthy.tar.zst

These files should be unpacked and placed in the paper repository directory (wherever you did `git clone`), so that the `datasets` directory is directly inside `MDSINE2_Paper` repository directory. 

------------

Related zenodo records:

https://doi.org/10.5281/zenodo.8208502 -- Full MDSINE2 inference on Healthy cohort

https://doi.org/10.5281/zenodo.16915340 -- MDSINE2 Cross-Validation run (Dysbiotic cohort)

https://doi.org/10.5281/zenodo.16915311 -- MDSINE2 semisynthetic dataset
DOI: 10.15468/dl.93g6qv
title: Occurrence Download

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

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043416-250811113504898/datasets/export for details.
DOI: 10.15468/dl.un3qm2
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Bromus mollis pumilus, Bromus mollis pygmaeus, Bromus mollis ramosus, Bromus mollis rarus, Bromus mollis simplicissimus, Bromus mollis subglaber, Bromus mollis thyrsiformis, Bromus mollis tunetanus, Bromus mollis tunetanus, Bromus mollis typicus)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen, Machine Observation)"
 ]
 }
 },
 "Continent is Europe",
 "Year is greater than or equal to 1980",
 "Year is less than or equal to 2024"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043417-250811113504898/datasets/export for details.
DOI: 10.34740/kaggle/dsv/8421156
title: Gold-standard Lunar Sinuous Rilles Image Data
DOI: 10.5281/zenodo.15064381
title: CSA and Food security
DOI: 10.5281/zenodo.16944460
title: CSA and Food security
DOI: 10.15468/dl.fpmxmn
title: Occurrence Download

description: A dataset containing 114 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Centrolene quindianum"
 ]
}

 The dataset includes 114 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043418-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7298/d8f3-q379
title: Data from: Chiroptical Strain Sensors from Electrospun Cadmium Sulfide Quantum-Dot Fibers
DOI: 10.7910/dvn/n8aayn
title: Replication Data for: Classifying Asian Party Systems: Sartori’s Typology in Comparative Perspective

description: Almost 50 years have passed since Sartori introduced to the world one of the most famous innovations in the history of political science: a new party systems typology. Despite many criticisms and refinements since then, Sartori’s typology still constitutes, as stated by Peter Mair in 1990, “the most effective and exhaustive framework within which to contrast the properties of different party systems”. In the current research note, and taking into consideration that previous typologies have not yet been that successful, we propose a new classification of party systems – which not only embeds the notion of polarization into the typology, but also allows us to populate the “polarized pluralist” type beyond Sartori’s “centre-based” (Italian) model – in Asia, a continent almost completely ignored by Sartori in his seminal work. Using an original dataset that includes the most important characteristics of party systems in the region and building on Sartori’s original conceptualization, we examine to what extent party systems in Asian democracies, both contemporary (Bhutan, East Timor, India, Indonesia, Japan, Malaysia, Mongolia, Nepal, Pakistan, Philippines, South Korea, Sri Lanka and Taiwan) and historical (Bangladesh 1991–2006, Kyrgyzstan 2010–2020, Myanmar 2015–2020 and Thailand 1992–2013), have changed. Our discussion of a new party system typology is particularly relevant and important to Asia, as its many new democracies still need to shift from plurality electoral rules adopted during the early post-independence periods to more mature, power-dispersing political institutions that accommodate their rich ethnic and religious diversity, as it happened in Europe after the World Wars.
description: Replication files (data and Stata do-file) for "Classifying Asian Party Systems: Sartori’s Typology in Comparative Perspective" published in Italian Political Science Review
DOI: 10.15468/dl.n2qkyg
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tecoma stans",
 "Country is Fiji",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043420-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4myv2p
title: Occurrence Download

description: A dataset containing 11934 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Carex muricata mediterranea, Carex pairae lumnitzeri, Vignea spicata, Carex strigosa, Carex godefrinii, Carex leptostachya, Carex leptostachys, Carex leptostachys, Loxotrema leptostachys, Trasus strigosus)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen, Machine Observation)"
 ]
 }
 },
 "Continent is Europe",
 "Year is greater than or equal to 1980",
 "Year is less than or equal to 2024"
 ]
}

 The dataset includes 11934 records from 265 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043419-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3c7ms5
title: Occurrence Download

description: A dataset containing 121 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tecoma stans",
 "Country is Guatemala",
 "HasCoordinate is true"
 ]
}

 The dataset includes 121 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043421-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ku27x9
title: Occurrence Download

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

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043422-250811113504898/datasets/export for details.
DOI: 10.15468/dl.tb37fm
title: Occurrence Download

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

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043423-250811113504898/datasets/export for details.
DOI: 10.15468/dl.62dmha
title: Occurrence Download

description: A dataset containing 1367 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Specimen, Human Observation)",
 "Continent is South America",
 "Country is Colombia",
 "OccurrenceStatus is Present",
 "PublishedByGbifRegion is Latin America and the Caribbean",
 "TaxonKey is Lomariocycas aurata"
 ]
}

 The dataset includes 1367 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043425-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tw83ju
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tecoma stans",
 "Country is Nauru",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043427-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.54pdpw
title: Occurrence Download

description: A dataset containing 14 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tecoma stans",
 "Country is Rwanda",
 "HasCoordinate is true"
 ]
}

 The dataset includes 14 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043428-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d6d9md
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tecoma stans",
 "Country is Timor-Leste",
 "HasCoordinate is true"
 ]
}

 The dataset includes 3 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043429-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.a9jypu
title: Occurrence Download

description: A dataset containing 49665 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Bromus mollis vernus, Bromus mollis vulgaris, Bromus parvispiculatus, Bromus pratensis simplex, Bromus pratensis simplex, Bromus simplex, Bromus simplicissimus, Bromus velutinus, Bromus inermis, Bromopsis australis)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen, Machine Observation)"
 ]
 }
 },
 "Continent is Europe",
 "Year is greater than or equal to 1980",
 "Year is less than or equal to 2024"
 ]
}

 The dataset includes 49665 records from 528 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043424-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5066/p1stpnf5
title: Chemical and physical data for fingerprinting 2022 sediment in East River, Wisconsin, tributary to the Fox River, Green Bay, and Lake Michigan - sources

description: Data include particle-size distribution as well as sediment-bound total concentrations of carbon (organic and total), nitrogen, phosphorus, and other trace metals. Samples include those from upland sources (cropland, woodland, gullies, roads) as well as exposed streambank from the East River basin, Brown County, Wisconsin. Sources samples were collected in July and August 2022. These data will be used to apportion sediment sources of suspended and streambed sediment collected from the East River.
DOI: 10.15468/dl.3w73bd
title: Occurrence Download

description: A dataset containing 28544 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Carex supina, Carex nitida supina, Carex obtusata supina, Carex supina, Edritria supina, Carex tomentosa, Carex bruckneri, Carex brueckneri, Carex caesia, Carex grasmanniana)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen, Machine Observation)"
 ]
 }
 },
 "Continent is Europe",
 "Year is greater than or equal to 1980",
 "Year is less than or equal to 2024"
 ]
}

 The dataset includes 28544 records from 520 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043426-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5066/p13tezgz
title: Chemical and physical data for fingerprinting 2022 sediment in East River, Wisconsin, tributary to the Fox River, Green Bay, and Lake Michigan - streambed sediment

description: Data include total nitrogen and organic carbon, total metal, and particle-size analyses of upland (cropland, woodland, gullies, roads) and streambank from the East River basin, Brown County, Wisconsin that was collected in July and August 2022. These data will be used in a sediment-source apportionment tool to attribute the proportional contribution of individual sources to suspended sediment in the basin.
DOI: 10.15468/dl.7szgen
title: Occurrence Download

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

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043430-250811113504898/datasets/export for details.
DOI: 10.5281/zenodo.16944425
title: Wounded Healers as Agents of Change: A Comparative Study on Stress and Work Satisfaction of Nepali Accompaniers - Qualitative data

description: Qualitative data with quotes
DOI: 10.5281/zenodo.16944426
title: Wounded Healers as Agents of Change: A Comparative Study on Stress and Work Satisfaction of Nepali Accompaniers - Qualitative data

description: Qualitative data with quotes
DOI: 10.5066/p14whcpv
title: Chemical and physical data for fingerprinting 2022 sediment in East River, Wisconsin, tributary to the Fox River, Green Bay, and Lake Michigan - suspended sediment collected with passive sampler

description: Data include total nitrogen and organic carbon, total metal, and particle-size analyses of upland (cropland, woodland, gullies, roads) and streambank from the East River basin, Brown County, Wisconsin that was collected in July and August 2022. These data will be used in a sediment-source apportionment tool to attribute the proportional contribution of individual sources to suspended sediment in the basin.
DOI: 10.5066/p13zxazu
title: Chemical and physical data for fingerprinting 2022 sediment in East River, Wisconsin, tributary to the Fox River, Green Bay, and Lake Michigan - suspended sediment collected with autosampler

description: Data include total nitrogen and organic carbon, total metal, and particle-size analyses of upland (cropland, woodland, gullies, roads) and streambank from the East River basin, Brown County, Wisconsin that was collected in July and August 2022. These data will be used in a sediment-source apportionment tool to attribute the proportional contribution of individual sources to suspended sediment in the basin.