cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.5v3dra
title: Occurrence Download

description: A dataset containing 19420 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Nyctalus lasiopterus)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 19420 records from 394 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027192-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hd87qv
title: Occurrence Download

description: A dataset containing 2281 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Bombus muscorum (Linnaeus, 1758))",
 "Continent is one of (Europe)"
 ]
}

 The dataset includes 2281 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0100115-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yuzequ
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005295-171113114016250/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ps0kwv
title: Occurrence Download

description: A dataset containing 32 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 32 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026099-181108115102211/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3u5vez
title: Occurrence Download

description: A dataset containing 443 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((36 40,50 40,50 46,36 46,36 40))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Heracleum L."
 ]
}

 The dataset includes 443 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0135145-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p67qrp
title: Occurrence Download

description: A dataset containing 1501 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "TaxonKey is Puma concolor (Linnaeus, 1771)"
 ]
}

 The dataset includes 1501 records from 79 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0213906-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s1xp3v
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005319-171113114016250/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q7cipp
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003426-171219132708484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hv8ryf
title: Occurrence Download

description: A dataset containing 554707779 species occurrences available in GBIF matching the query:
{
 "Country" : [
 "is United States of America"
 ]
}

 The dataset includes 554707779 records from 2972 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0067310-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rqr7xs
title: Occurrence Download

description: A dataset containing 4506 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Polycentropus flavomaculatus (Pictet, 1834)",
 "Geometry POLYGON((-8.00174339329464 54.1998526673513, 0.202120938926891 54.1998526673513, 0.202120938926891 61.2628565887411, -8.00174339329464 61.2628565887411, -8.00174339329464 54.1998526673513))",
 "CoordinateUncertaintyInMeters is 0,101",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 4506 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012282-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.brvsjv
title: Occurrence Download

description: A dataset containing 1985 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Chelonoidis carbonarius (Spix, 1824)"
 ]
}

 The dataset includes 1985 records from 136 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012284-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/13351703
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15468/dl.xeb934
title: Occurrence Download

description: A dataset containing 72409 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Silybum marianum (L.) Gaertn."
 ]
}

 The dataset includes 72409 records from 1118 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004518-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16368451
title: Interdisziplinaritätsnetzwerk der an Exzellenzcluster 2025 beteiligten Fächer

description: Das Netzwerk stellt dar, in welchen Fachdisziplinen Principal Investigators (PIs) im Rahmen von Exzellenzclustern tätig waren bzw. sind und in welchen fachlichen Konstellationen sie gemeinsam an Clustern mitgewirkt haben bzw. mitwirken. Die Zuordnung eines Faches zu einer Person erfolgt auf Basis von Angaben in der → DFG-Einrichtungsdatenbank bezogen auf das Institut, an dem ein PI zum Zeitpunkt der Antragstellung tätig war. Die farbige Unterscheidung der Fächer basiert auf einer Klassifikation, die diese den vier Wissenschaftsbereichen (WSB) der DFG zuordnet. Fächer, die keiner WSB-Kategorie zugewiesen werden konnten – insbesondere Rechenzentren und andere zentrale Einrichtungen – wurden von der Analyse ausgenommen.

Der Abbildung liegen Daten zu 1.663 fachlich klassifizierten an Exzellenzclustern der zweiten Wettbewerbsphase der Exzellenzstrategie beteiligten Principal Investigators (PIs) zugrunde, die Lehr- und Forschungsbereichen (LuF) zugeordnet wurden, die zwei und mehr Personen umfassen. 

In der Netzwerkkarte repräsentiert jeder Knoten ein Fach. Die Knotengröße steht für die Anzahl der zugeordneten PIs. Verbindungslinien (Kanten) zwischen zwei Knoten zeigen an, dass PIs aus beiden Fächern gemeinsam in einem oder mehreren Clustern vertreten sind. Die Stärke der Kanten steigt mit der Anzahl dieser fachübergreifenden Verbindungen. Sie ergibt sich aus der Anzahl gemeinsamer Clusterbeteiligungen zwischen zwei Fächern. Wenn beispielsweise in drei Clustern PIs aus der Volkswirtschaftslehre und der internationalen Politik gemeinsam vorkommen, ergibt sich die Beziehungsstärke drei.

Für die räumliche Anordnung der Knoten wurde der Algorithmus Force Atlas 2 verwendet. Er bewirkt, dass Fächer mit engen direkten und indirekten Beziehungen auf der Fläche nah zueinander und Fächer, die für die jeweilige Substruktur sowie für die Gesamtstruktur von zentraler Bedeutung sind, jeweils mittig zu der entsprechenden (Sub-)Struktur positioniert werden.

Zur besseren Orientierung bietet die interaktive Netzwerkdarstellung verschiedene Funktionen: Über eine Suchfunktion können Fachnamen oder Kürzel gezielt lokalisiert werden. Beim Mouseover eines Knotens erscheint ein Tooltipp mit Zusatzinformationen – darunter die Anzahl der zugehörigen PIs sowie die Zahl der Cluster, an denen mindestens ein PI aus diesem Fach beteiligt war bzw. ist. Darüber hinaus kann das Netzwerk nach Wissenschaftsbereichen gefiltert werden, um fachliche Schwerpunkte innerhalb einzelner WSB gezielt hervorzuheben.

In der Darstellung werden ausschließlich die 192 Fächer berücksichtigt, denen mindestens zwei PIs zugeordnet sind (192 Knoten, 3.206 Kanten). Für die Berechnung der folgenden Netzwerkmetriken (Zentralitätsmaße) wurden hingegen alle verfügbaren Fächer einbezogen, einschließlich solcher mit nur einem PI (insgesamt 263 Knoten und 4.157 Kanten):
DOI: 10.5281/zenodo.16368452
title: Interdisziplinaritätsnetzwerk der an Exzellenzcluster 2025 beteiligten Fächer

description: Das Netzwerk stellt dar, in welchen Fachdisziplinen Principal Investigators (PIs) im Rahmen von Exzellenzclustern tätig waren bzw. sind und in welchen fachlichen Konstellationen sie gemeinsam an Clustern mitgewirkt haben bzw. mitwirken. Die Zuordnung eines Faches zu einer Person erfolgt auf Basis von Angaben in der → DFG-Einrichtungsdatenbank bezogen auf das Institut, an dem ein PI zum Zeitpunkt der Antragstellung tätig war. Die farbige Unterscheidung der Fächer basiert auf einer Klassifikation, die diese den vier Wissenschaftsbereichen (WSB) der DFG zuordnet. Fächer, die keiner WSB-Kategorie zugewiesen werden konnten – insbesondere Rechenzentren und andere zentrale Einrichtungen – wurden von der Analyse ausgenommen.

Der Abbildung liegen Daten zu 1.663 fachlich klassifizierten an Exzellenzclustern der zweiten Wettbewerbsphase der Exzellenzstrategie beteiligten Principal Investigators (PIs) zugrunde, die Lehr- und Forschungsbereichen (LuF) zugeordnet wurden, die zwei und mehr Personen umfassen. 

In der Netzwerkkarte repräsentiert jeder Knoten ein Fach. Die Knotengröße steht für die Anzahl der zugeordneten PIs. Verbindungslinien (Kanten) zwischen zwei Knoten zeigen an, dass PIs aus beiden Fächern gemeinsam in einem oder mehreren Clustern vertreten sind. Die Stärke der Kanten steigt mit der Anzahl dieser fachübergreifenden Verbindungen. Sie ergibt sich aus der Anzahl gemeinsamer Clusterbeteiligungen zwischen zwei Fächern. Wenn beispielsweise in drei Clustern PIs aus der Volkswirtschaftslehre und der internationalen Politik gemeinsam vorkommen, ergibt sich die Beziehungsstärke drei.

Für die räumliche Anordnung der Knoten wurde der Algorithmus Force Atlas 2 verwendet. Er bewirkt, dass Fächer mit engen direkten und indirekten Beziehungen auf der Fläche nah zueinander und Fächer, die für die jeweilige Substruktur sowie für die Gesamtstruktur von zentraler Bedeutung sind, jeweils mittig zu der entsprechenden (Sub-)Struktur positioniert werden.

Zur besseren Orientierung bietet die interaktive Netzwerkdarstellung verschiedene Funktionen: Über eine Suchfunktion können Fachnamen oder Kürzel gezielt lokalisiert werden. Beim Mouseover eines Knotens erscheint ein Tooltipp mit Zusatzinformationen – darunter die Anzahl der zugehörigen PIs sowie die Zahl der Cluster, an denen mindestens ein PI aus diesem Fach beteiligt war bzw. ist. Darüber hinaus kann das Netzwerk nach Wissenschaftsbereichen gefiltert werden, um fachliche Schwerpunkte innerhalb einzelner WSB gezielt hervorzuheben.

In der Darstellung werden ausschließlich die 192 Fächer berücksichtigt, denen mindestens zwei PIs zugeordnet sind (192 Knoten, 3.206 Kanten). Für die Berechnung der folgenden Netzwerkmetriken (Zentralitätsmaße) wurden hingegen alle verfügbaren Fächer einbezogen, einschließlich solcher mit nur einem PI (insgesamt 263 Knoten und 4.157 Kanten):
DOI: 10.15468/dl.tp9qz7
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Senna siamea",
 "Country is Philippines",
 "HasCoordinate is true"
 ]
}

 The dataset includes 8 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019978-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.g8d69r
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Senna siamea",
 "Country is Saint Vincent and the Grenadines",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019979-250802193616735/datasets/export for details.
DOI: 10.15468/dl.c4k22p
title: Occurrence Download

description: A dataset containing 89232 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is one of (USA.4_1, USA.26_1, USA.19_1)",
 "TaxonKey is one of (Squamata, Crocodylia, Testudines)"
 ]
}

 The dataset includes 89232 records from 82 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019936-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nsv9xm
title: Occurrence Download

description: A dataset containing 703 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Philemon subcorniculatus)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "License is one of (CC-BY 4.0, CC0 1.0)"
 ]
}

 The dataset includes 703 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019980-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7kppfb
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is BOLD:ABY5140"
 ]
}

 The dataset includes 9 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019982-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gshhhe
title: Occurrence Download

description: A dataset containing 5565 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Philentoma pyrhoptera)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "License is one of (CC-BY 4.0, CC0 1.0)"
 ]
}

 The dataset includes 5565 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019981-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q95vhc
title: Occurrence Download

description: A dataset containing 45 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Paraguay",
 "TaxonKey is Philodryas olfersii"
 ]
}

 The dataset includes 45 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019983-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/e230944
title: Data and Code for: How Regional Inequality and Migration Drive Housing Prices and Rents

description: For several decades after World War II,
regional incomes converged within the United States, but in recent decades,
this trend has stopped and even reversed. Instead, more recent income
growth—and the economic opportunities that come with it—has been increasingly
concentrated in a small number of cities. From 2000 to 2018, median household
incomes increased by about 15 percent more in cities that were already in the
top 10 percent as compared to cities that were initially in the bottom half.
During this time, the FHFA house price index rose by 31 percentage points more
than the consumer price index (CPI). This increase is unevenly distributed, and
driven in large part by the higher rate of housing price increases in major
cities. Relative to CPI, house prices rose by 49 percentage points in New York,
96 percentage points in Seattle, 129 percentage points in Los Angeles, and 113
percentage points in Miami. Our
essay argues that this is no coincidence: the workhorse model of urban
economics predicts that an increase in regional inequality leads to higher
average national housing rents and prices, and the data support this theory.
DOI: 10.3886/e230944v1
title: Data and Code for: How Regional Inequality and Migration Drive Housing Prices and Rents

description: For several decades after World War II,
regional incomes converged within the United States, but in recent decades,
this trend has stopped and even reversed. Instead, more recent income
growth—and the economic opportunities that come with it—has been increasingly
concentrated in a small number of cities. From 2000 to 2018, median household
incomes increased by about 15 percent more in cities that were already in the
top 10 percent as compared to cities that were initially in the bottom half.
During this time, the FHFA house price index rose by 31 percentage points more
than the consumer price index (CPI). This increase is unevenly distributed, and
driven in large part by the higher rate of housing price increases in major
cities. Relative to CPI, house prices rose by 49 percentage points in New York,
96 percentage points in Seattle, 129 percentage points in Los Angeles, and 113
percentage points in Miami. Our
essay argues that this is no coincidence: the workhorse model of urban
economics predicts that an increase in regional inequality leads to higher
average national housing rents and prices, and the data support this theory.
DOI: 10.6084/m9.figshare.29839517.v1
title: Surgical versus non-operative treatment for Bennett’s fractures of the thumb. A matched patient cohort study Dataset

description: <b>Aims:</b><br>Bennett’s fractures can be managed operatively or nonoperatively, but there is uncertainty regarding the long-term outcomes and superiority of each approach. This study evaluates whether surgical treatment offers superior medium-term outcomes compared to nonoperative management.<b>Methods:</b><br>We retrospectively reviewed patients treated surgically for displaced Bennett’s fractures over a four-year period in our unit. Each surgical patient was matched with a nonoperatively managed control. At a minimum of five years post-injury, patients were assessed in clinic for grip and pinch strength, pain, satisfaction, and radiographic evidence of osteoarthritis. Functional outcomes were evaluated using the brief Michigan Hand Questionnaire (bMHQ) and the Disability of the Arm, Shoulder and Hand (DASH) questionnaire.<b>Results:</b><br>Thirty-three surgically treated patients were identified and matched with nonoperative counterparts. At follow-up, the surgical group demonstrated significantly better grip strength, lower DASH scores, greater first web space angles, and higher satisfaction scores compared to the nonoperative group.<b>Conclusions:</b><br>While both surgical and nonoperative approaches can yield excellent outcomes when fracture reduction is adequately achieved and maintained, surgical fixation was associated with improved grip strength, functional scores, and patient satisfaction at five-year follow-up. Closed reduction and percutaneous pinning remains a reliable option when satisfactory reduction cannot be achieved in a nonoperative setting.
DOI: 10.6084/m9.figshare.29839517
title: Surgical versus non-operative treatment for Bennett’s fractures of the thumb. A matched patient cohort study Dataset

description: <b>Aims:</b><br>Bennett’s fractures can be managed operatively or nonoperatively, but there is uncertainty regarding the long-term outcomes and superiority of each approach. This study evaluates whether surgical treatment offers superior medium-term outcomes compared to nonoperative management.<b>Methods:</b><br>We retrospectively reviewed patients treated surgically for displaced Bennett’s fractures over a four-year period in our unit. Each surgical patient was matched with a nonoperatively managed control. At a minimum of five years post-injury, patients were assessed in clinic for grip and pinch strength, pain, satisfaction, and radiographic evidence of osteoarthritis. Functional outcomes were evaluated using the brief Michigan Hand Questionnaire (bMHQ) and the Disability of the Arm, Shoulder and Hand (DASH) questionnaire.<b>Results:</b><br>Thirty-three surgically treated patients were identified and matched with nonoperative counterparts. At follow-up, the surgical group demonstrated significantly better grip strength, lower DASH scores, greater first web space angles, and higher satisfaction scores compared to the nonoperative group.<b>Conclusions:</b><br>While both surgical and nonoperative approaches can yield excellent outcomes when fracture reduction is adequately achieved and maintained, surgical fixation was associated with improved grip strength, functional scores, and patient satisfaction at five-year follow-up. Closed reduction and percutaneous pinning remains a reliable option when satisfactory reduction cannot be achieved in a nonoperative setting.
DOI: 10.15468/dl.66p2pj
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Senna siamea",
 "Country is Sao Tome and Principe",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019984-250802193616735/datasets/export for details.
DOI: 10.5281/zenodo.16753300
title: Smoke Test Data from HALFpipe2bids for Wonkyconn

description: Output derivatives generated using HALFpipe2bids (https://github.com/LAB-BRIGHT/HalfPipe2Bids) used to smoke test wonkyconn builds.

Dataset: Sub-sample from dataset ds000030 (OpenNeuro).

Atlas: atlas-Schaefer2018Combined_dseg.

3 zip files: * test_data_h2bids_impute_and_metadata: generated using --denoise-metadata and --impute-nan* test_data_h2bids_impute_nan: generated using --impute-nan* test_data_h2bids_denoise_metadata: generated using --denoise-metadata

Note: the atlas folder was manually added to the directory for testing purposes.
DOI: 10.15468/dl.cg7uq6
title: Occurrence Download

description: A dataset containing 124 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Odorrana huanggangensis",
 "Country is China",
 "HasCoordinate is true"
 ]
}

 The dataset includes 124 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019986-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.