cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17877/tudodata-2025-mbs2ha8b
title: 15 Choräle für den Harmonielehre-, Gehörbildungs- und Begleitspielunterricht an der TU Dortmund

description: Diese 15 Choräle sind für den Unterricht in Harmonielehre, Gehörbildung und Begleitspiel an der TU Dortmund konzipiert. Je nach Format eignen sie sich für: 

&lt;ol&gt;
&lt;li&gt; die harmonische Analyse anhand von Stufen, Generalbass, Funktionen oder Akkordsymbolen; &lt;/li&gt; 
&lt;li&gt; das Hinzufügen von Mittelstimmen (d.h. Alt und Tenor); oder &lt;/li&gt;
&lt;li&gt; die freie Harmonisierung.&lt;/li&gt;
&lt;/ol&gt;

Die in der Datei enthaltenen Stimmen werden durch die Abkürzungen SATB für Sopran, Alt, Tenor und Bass im Dateinamen angegeben. Zusätzliche Abkürzungen sind GB (Generalbass) und AS (Akkordsymbole). Die Choralmelodien selbst basieren auf bekannten Chorälen, wurden jedoch gekürzt oder erweitert, um stets fünf Choralzeilen zu enthalten. Aus diesem Grund werden keine spezifischen Namen für die Choräle angegeben. Sibelius ist eine kommerzielle Notations-Software; Die interoperable, nicht firmeneigenen musicxml-Dateien sorgen für ein breites Nachnutzen.
DOI: 10.15468/dl.8z4vfm
title: Occurrence Download

description: A dataset containing 36989 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Diptera",
 "Year 1981-2020"
 ]
}

 The dataset includes 36989 records from 159 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014072-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.grdzzm
title: Occurrence Download

description: A dataset containing 786 species occurrences available in GBIF matching the query:
{
 "and" : [
 "CoordinateUncertaintyInMeters 0.0-1000.0",
 "Country is one of (India, Sri Lanka, Nepal, Pakistan, Bhutan, Bangladesh)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Month is one of (January, February, March, April, May, June, July, August, September, October, November, December)",
 "OccurrenceStatus is Present",
 "TaxonKey is Cheilomenes sexmaculata",
 "Year 1950-2025"
 ]
}

 The dataset includes 786 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014074-251120083545085/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.25359841
title: SCodeSearcher

description: <pre>### File path configuration<br><br>Before you start training the model, make sure that all file paths are correctly set to the paths in your local environment. This includes training data, where the model is saved, and any associated configuration files.<br><br>- ** Training data paths ** : Check the path of the training data to make sure they point to the correct location.<br>- ** Model save path ** : The 'checkpoint' directory is used to save model weights during training. Make sure that this path correctly points to the local directory where you want to save the model weights.<br><br>** Important note ** : Before running the run.sh script, open the script and any related Python files, then check and update the path settings.<br><br>## Soft contrastive learning<br><br>To soft contrastive learning, navigate to the corresponding directory and run the following command:<br><br>```sh<br>cd $Project_Path<br>bash run.sh<br>```<br><br>## Parameter setting description<br><br>- To adjust the weight ranges of positive samples, modify the softmax operation for 'ai' on line 158 of 'utils.py'.<br><br>- To adjust the weight ranges of negative sample, adjust 'bi' on line 163 of 'utils.py'. <br><br><br><br>## Code Search<br><br><br>The dataset file contains the code retrieval datasets and the code classification datasets. <br><br>```<br>python run.py \<br> --output_dir=./python \<br> --config_name=/graphcodebert-base \<br> --model_name_or_path=/graphcodebert-base \<br> --tokenizer_name=/graphcodebert-base \<br> --lang=python \<br> --do_train \<br> --train_data_file=/dataset/CSN-Python/train.jsonl \<br> --eval_data_file=/dataset/CSN-Python/test.jsonl \<br> --test_data_file=/dataset/CSN-Python/test.jsonl \<br> --codebase_file=/dataset/CSN-Python/codebase.jsonl \<br> --num_train_epochs 20 \<br> --code_length 318 \<br> --data_flow_length 64 \<br> --nl_length 256 \<br> --train_batch_size 32 \<br> --eval_batch_size 64 \<br> --learning_rate 2e-5 \<br> --seed 42<br>```</pre>
DOI: 10.6084/m9.figshare.25359841.v3
title: SCodeSearcher

description: <pre>### File path configuration<br><br>Before you start training the model, make sure that all file paths are correctly set to the paths in your local environment. This includes training data, where the model is saved, and any associated configuration files.<br><br>- ** Training data paths ** : Check the path of the training data to make sure they point to the correct location.<br>- ** Model save path ** : The 'checkpoint' directory is used to save model weights during training. Make sure that this path correctly points to the local directory where you want to save the model weights.<br><br>** Important note ** : Before running the run.sh script, open the script and any related Python files, then check and update the path settings.<br><br>## Soft contrastive learning<br><br>To soft contrastive learning, navigate to the corresponding directory and run the following command:<br><br>```sh<br>cd $Project_Path<br>bash run.sh<br>```<br><br>## Parameter setting description<br><br>- To adjust the weight ranges of positive samples, modify the softmax operation for 'ai' on line 158 of 'utils.py'.<br><br>- To adjust the weight ranges of negative sample, adjust 'bi' on line 163 of 'utils.py'. <br><br><br><br>## Code Search<br><br><br>The dataset file contains the code retrieval datasets and the code classification datasets. <br><br>```<br>python run.py \<br> --output_dir=./python \<br> --config_name=/graphcodebert-base \<br> --model_name_or_path=/graphcodebert-base \<br> --tokenizer_name=/graphcodebert-base \<br> --lang=python \<br> --do_train \<br> --train_data_file=/dataset/CSN-Python/train.jsonl \<br> --eval_data_file=/dataset/CSN-Python/test.jsonl \<br> --test_data_file=/dataset/CSN-Python/test.jsonl \<br> --codebase_file=/dataset/CSN-Python/codebase.jsonl \<br> --num_train_epochs 20 \<br> --code_length 318 \<br> --data_flow_length 64 \<br> --nl_length 256 \<br> --train_batch_size 32 \<br> --eval_batch_size 64 \<br> --learning_rate 2e-5 \<br> --seed 42<br>```</pre>
DOI: 10.6084/m9.figshare.25359841.v2
title: SCodeSearcher

description: <pre>### File path configuration<br><br>Before you start training the model, make sure that all file paths are correctly set to the paths in your local environment. This includes training data, where the model is saved, and any associated configuration files.<br><br>- ** Training data paths ** : Check the path of the training data to make sure they point to the correct location.<br>- ** Model save path ** : The 'checkpoint' directory is used to save model weights during training. Make sure that this path correctly points to the local directory where you want to save the model weights.<br><br>** Important note ** : Before running the run.sh script, open the script and any related Python files, then check and update the path settings.<br><br>## Soft contrastive learning<br><br>To soft contrastive learning, navigate to the corresponding directory and run the following command:<br><br>```sh<br>cd $Project_Path<br>bash run.sh<br>```<br><br>## Parameter setting description<br><br>- To adjust the weight ranges of positive samples, modify the softmax operation for 'ai' on line 158 of 'utils.py'.<br><br>- To adjust the weight ranges of negative sample, adjust 'bi' on line 163 of 'utils.py'. <br><br><br><br>## Code Search<br><br><br>The dataset file contains the code retrieval datasets and the code classification datasets. <br><br>```<br>python run.py \<br> --output_dir=./python \<br> --config_name=/graphcodebert-base \<br> --model_name_or_path=/graphcodebert-base \<br> --tokenizer_name=/graphcodebert-base \<br> --lang=python \<br> --do_train \<br> --train_data_file=/dataset/CSN-Python/train.jsonl \<br> --eval_data_file=/dataset/CSN-Python/test.jsonl \<br> --test_data_file=/dataset/CSN-Python/test.jsonl \<br> --codebase_file=/dataset/CSN-Python/codebase.jsonl \<br> --num_train_epochs 20 \<br> --code_length 318 \<br> --data_flow_length 64 \<br> --nl_length 256 \<br> --train_batch_size 32 \<br> --eval_batch_size 64 \<br> --learning_rate 2e-5 \<br> --seed 42<br>```</pre>
DOI: 10.15468/dl.37djyv
title: Occurrence Download

description: A dataset containing 46356 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Lepidoptera",
 "Year 1981-2020"
 ]
}

 The dataset includes 46356 records from 233 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014075-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/pcra-c14-233967
title: Rev./Atty. John Butler speaks on wills, 1992

description: [description english/roman)] John L. Butler. Rev./Atty. John L. Butler speaks on wills: an oten ignored, misunderstood, or forgotten subject. Brooklyn, New York: Ellis-Butler Ministries, 1992.
DOI: 10.15468/dl.gj1yvq
title: Occurrence Download

description: A dataset containing 1310 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Canis mesomelas Schreber, 1775"
 ]
}

 The dataset includes 1310 records from 45 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001568-181003121212138/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nzajwu
title: Occurrence Download

description: A dataset containing 44 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rytigynia ruwenzoriensis (De Wild.) Robyns"
 ]
}

 The dataset includes 44 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0399954-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e9embr
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Guatemala",
 "DatasetKey is On the types species of the New World dung beetle genus Canthidium Erichson, 1847 (Coleoptera: Scarabaeidae: Scarabaeinae), with an annotated checklist of species"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001568-181108115102211/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/pcra-c14-37611
title: Minute book no. 1, PMU, 1909-1917

description: [description english/roman)] Pentecostal Missionary Union [PMU] minute book No. 1 including 37 pages of subject index; 519 pages of council meeting minutes.
DOI: 10.15468/dl.q7cxk5
title: Occurrence Download

description: A dataset containing 41 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Croton echinulatus (Griseb.) Croizat"
 ]
}

 The dataset includes 41 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0117235-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4m92s9
title: Occurrence Download

description: A dataset containing 78 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Hygrophorus queletii Bres.)",
 "Geometry POLYGON((-9.36035 44.71551,-10.59082 42.81152,-11.82129 36.80928,-7.69043 36.17336,-3.38379 35.88905,3.12012 38.13456,9.18457 38.20366,11.7334 37.16032,12.78809 34.74161,17.09473 33.79741, 23.15918 34.23451,30.10254 32.62087,33.2666 32.99024,35.72754 35.03,33.00293 35.53223,28.69629 35.17381,28.34473 36.31513,25.7959 37.50973,24.91699 39.90974,28.78418 40.6473,30.71777 41.17865,36.87012 45.213,38.18848 46.98025,38.71582 47.7541,39.94629 47.93107,40.20996 49.61071,37.0459 50.34546,35.72754 50.40152,33.79395 52.26816,31.68457 51.94426,31.4209 53.27835,32.56348 53.43572,30.98145 54.77535,30.89355 55.52863,28.43262 56.02295,27.20215 57.65716,27.37793 58.30949,27.90527 59.17593,29.66309 59.88894,27.6416 60.58697,31.50879 62.75473,28.78418 69.83962,30.89355 70.28912,29.22363 71.55274,21.75293 71.30079,14.28223 70.14036,11.38184 67.47492,4.87793 63.66576,-5.53711 71.52491,-10.63477 71.69129,-21.5332 67.74276,-28.56445 65.36684,-24.3457 61.35461,-9.36035 44.71551))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "Year is less than or equal to 2021"
 ]
}

 The dataset includes 78 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0242623-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34816/ifao.archives.163766
title: DENDARA - TEMPLE - Vol.III, pl. CXC._pv_2004_00811

description: Référence : pv_2004_00811<br />Site : Dendara<br />Secteur : Sanctuaire d'Hathor (J); Temple d'Hathor<br />Type : photographie<br />
DOI: 10.15468/dl.d4bzcg
title: Occurrence Download

description: A dataset containing 6087 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "Continent is Europe",
 "Year is greater than 1978",
 "Year is less than 2014",
 "HasGeospatialIssue is false",
 "TaxonKey is Briza minor L."
 ]
}

 The dataset includes 6087 records from 140 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0096705-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dx9e8x
title: Occurrence Download

description: A dataset containing 63 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Micrurus annellatus Peters, 1871"
 ]
}

 The dataset includes 63 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0123622-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34816/ifao.archives.163767
title: DENDARA - TEMPLE - Vol.III, pl. CCII._pv_2004_00250

description: Référence : pv_2004_00250<br />Site : Dendara<br />Secteur : Sanctuaire d'Hathor (J); Temple d'Hathor<br />Type : photographie<br />
DOI: 10.25549/pcra-c14-37734
title: Minute book no. 1, PMU, 1909-1917

description: [description english/roman)] Pentecostal Missionary Union [PMU] minute book No. 1 including 37 pages of subject index; 519 pages of council meeting minutes.
DOI: 10.34816/ifao.archives.163768
title: DENDARA - TEMPLE - Vol.III, pl. CCI._pv_2004_00267

description: Référence : pv_2004_00267<br />Site : Dendara<br />Secteur : Sanctuaire d'Hathor (J); Temple d'Hathor<br />Type : photographie<br />
DOI: 10.15468/dl.kwdyeh
title: Occurrence Download

description: A dataset containing 9680 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Coelioxys rufescens Lepeletier & Audinet-Serville, 1825, Coelotes terrestris (Wider, 1834))",
 "Geometry POLYGON((-9.36035 44.71551,-10.59082 42.81152,-11.82129 36.80928,-7.69043 36.17336,-3.38379 35.88905,3.12012 38.13456,9.18457 38.20366,11.7334 37.16032,12.78809 34.74161,17.09473 33.79741, 23.15918 34.23451,30.10254 32.62087,33.2666 32.99024,35.72754 35.03,33.00293 35.53223,28.69629 35.17381,28.34473 36.31513,25.7959 37.50973,24.91699 39.90974,28.78418 40.6473,30.71777 41.17865,36.87012 45.213,38.18848 46.98025,38.71582 47.7541,39.94629 47.93107,40.20996 49.61071,37.0459 50.34546,35.72754 50.40152,33.79395 52.26816,31.68457 51.94426,31.4209 53.27835,32.56348 53.43572,30.98145 54.77535,30.89355 55.52863,28.43262 56.02295,27.20215 57.65716,27.37793 58.30949,27.90527 59.17593,29.66309 59.88894,27.6416 60.58697,31.50879 62.75473,28.78418 69.83962,30.89355 70.28912,29.22363 71.55274,21.75293 71.30079,14.28223 70.14036,11.38184 67.47492,4.87793 63.66576,-5.53711 71.52491,-10.63477 71.69129,-21.5332 67.74276,-28.56445 65.36684,-24.3457 61.35461,-9.36035 44.71551))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "Year is less than or equal to 2021"
 ]
}

 The dataset includes 9680 records from 111 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0315809-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fawkn8
title: Occurrence Download

description: A dataset containing 43 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Fluminicola turbiniformis (Tryon, 1865)",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 43 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001568-190320150433242/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.um3cyv
title: Occurrence Download

description: A dataset containing 2615 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "Continent is Europe",
 "Year is greater than 1978",
 "Year is less than 2014",
 "HasGeospatialIssue is false",
 "TaxonKey is Anacamptis papilionacea (L.) R.M.Bateman, Pridgeon & M.W.Chase"
 ]
}

 The dataset includes 2615 records from 71 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0096707-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/pcra-c14-37659
title: Minute book no. 1, PMU, 1909-1917

description: [description english/roman)] Pentecostal Missionary Union [PMU] minute book No. 1 including 37 pages of subject index; 519 pages of council meeting minutes.
DOI: 10.34816/ifao.archives.163769
title: DENDARA - TEMPLE - Vol.III, pl. CCII._pv_2004_00262

description: Référence : pv_2004_00262<br />Site : Dendara<br />Secteur : Sanctuaire d'Hathor (J); Temple d'Hathor<br />Type : photographie<br />
DOI: 10.15468/dl.vzstxg
title: Occurrence Download

description: A dataset containing 700 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Fomitopsis pinicola (Sw.) P.Karst.",
 {
 "or" : [
 "Country is United States",
 "Country is Canada",
 "Continent is North America"
 ]
 }
 ]
}

 The dataset includes 700 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0123650-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zr9u3g
title: Occurrence Download

description: A dataset containing 83 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Kenya",
 "OccurrenceStatus is Present",
 "TaxonKey is Spodoptera frugiperda J.E.Smith, 1797"
 ]
}

 The dataset includes 83 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0117202-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/pcra-c14-37580
title: Minute book no. 1, PMU, 1909-1917

description: [description english/roman)] Pentecostal Missionary Union [PMU] minute book No. 1 including 37 pages of subject index; 519 pages of council meeting minutes.
DOI: 10.34816/ifao.archives.163770
title: DENDARA - TEMPLE - Vol.III, pl. CXC._pv_2004_00232

description: Référence : pv_2004_00232<br />Site : Dendara<br />Secteur : Sanctuaire d'Hathor (J); Temple d'Hathor<br />Type : photographie<br />
DOI: 10.15468/dl.v9z3ns
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pulvinaria aurantii Cockerell, 1896",
 {
 "not" : {
 "DatasetKey" : [
 "is Global database of alien macrofungi"
 ]
 }
 },
 {
 "or" : [
 "Country is United States of America",
 "Country is United States",
 "Country is United States of America",
 "Country is Canada",
 "Continent is North America"
 ]
 }
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0370455-210914110416597/datasets/export for details.
DOI: 10.34816/ifao.archives.163771
title: DENDARA - TEMPLE - Vol.III, pl. CXC._pv_2004_00238

description: Référence : pv_2004_00238<br />Site : Dendara<br />Secteur : Sanctuaire d'Hathor (J); Temple d'Hathor<br />Type : photographie<br />
DOI: 10.15468/dl.uu5hcx
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Scaphochlamys rubescens Jenjitt. & K.Larsen"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0117239-230530130749713/datasets/export for details.
DOI: 10.34816/ifao.archives.163772
title: DENDARA - TEMPLE - Vol.III, pl. CXC._pv_2004_00877

description: Référence : pv_2004_00877<br />Site : Dendara<br />Secteur : Sanctuaire d'Hathor (J); Temple d'Hathor<br />Type : photographie<br />
DOI: 10.15468/dl.3kmrxb
title: Occurrence Download

description: A dataset containing 47169 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Philippines",
 "TaxonKey is Mammalia"
 ]
}

 The dataset includes 47169 records from 71 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001134-200127171203522/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/pcra-c14-37594
title: Minute book no. 1, PMU, 1909-1917

description: [description english/roman)] Pentecostal Missionary Union [PMU] minute book No. 1 including 37 pages of subject index; 519 pages of council meeting minutes.
DOI: 10.15468/dl.ef4zm8
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "VerbatimScientificName is one of (Galactella lactea (Linnaeus, 1758), Galactella lactea, Striarca lactea (Linnaeus, 1758), , , , )",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Country is Ukraine"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0133088-230530130749713/datasets/export for details.
DOI: 10.34816/ifao.archives.163773
title: DENDARA - TEMPLE - Vol.III, pl. CXCIX._pv_2004_00242

description: Référence : pv_2004_00242<br />Site : Dendara<br />Secteur : Sanctuaire d'Hathor (J); Temple d'Hathor<br />Type : photographie<br />
DOI: 10.15468/dl.eev9vf
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Tropheops gracilior (Trewavas, 1935)"
 ]
}

 The dataset includes 6 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0332219-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.