-
Notifications
You must be signed in to change notification settings - Fork 0
Expand file tree
/
Copy pathindex.html
More file actions
765 lines (670 loc) · 31.3 KB
/
index.html
File metadata and controls
765 lines (670 loc) · 31.3 KB
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
474
475
476
477
478
479
480
481
482
483
484
485
486
487
488
489
490
491
492
493
494
495
496
497
498
499
500
501
502
503
504
505
506
507
508
509
510
511
512
513
514
515
516
517
518
519
520
521
522
523
524
525
526
527
528
529
530
531
532
533
534
535
536
537
538
539
540
541
542
543
544
545
546
547
548
549
550
551
552
553
554
555
556
557
558
559
560
561
562
563
564
565
566
567
568
569
570
571
572
573
574
575
576
577
578
579
580
581
582
583
584
585
586
587
588
589
590
591
592
593
594
595
596
597
598
599
600
601
602
603
604
605
606
607
608
609
610
611
612
613
614
615
616
617
618
619
620
621
622
623
624
625
626
627
628
629
630
631
632
633
634
635
636
637
638
639
640
641
642
643
644
645
646
647
648
649
650
651
652
653
654
655
656
657
658
659
660
661
662
663
664
665
666
667
668
669
670
671
672
673
674
675
676
677
678
679
680
681
682
683
684
685
686
687
688
689
690
691
692
693
694
695
696
697
698
699
700
701
702
703
704
705
706
707
708
709
710
711
712
713
714
715
716
717
718
719
720
721
722
723
724
725
726
727
728
729
730
731
732
733
734
735
736
737
738
739
740
741
742
743
744
745
746
747
748
749
750
751
752
753
754
755
756
757
758
759
760
761
762
763
764
765
<!DOCTYPE html>
<html lang="en">
<head>
<!-- Google tag (gtag.js) -->
<script async src="https://www.googletagmanager.com/gtag/js?id=G-564NTY4L4Z"></script>
<script>
window.dataLayer = window.dataLayer || [];
function gtag(){dataLayer.push(arguments);}
gtag('js', new Date());
gtag('config', 'G-564NTY4L4Z');
</script>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<meta name="description" content="SciSciNet-v2: A Linked Dataset for Science of Science Research">
<title>SciSciNet-v2: A Linked Dataset for Science of Science Research</title>
<link rel="preconnect" href="https://fonts.googleapis.com">
<link rel="preconnect" href="https://fonts.gstatic.com" crossorigin>
<link href="https://fonts.googleapis.com/css2?family=Monoton&display=swap" rel="stylesheet">
<link href="https://fonts.googleapis.com/css2?family=Josefin+Sans:ital,wght@0,100..700;1,100..700&family=Monoton&display=swap" rel="stylesheet">
<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.5.0/css/all.min.css" crossorigin="anonymous" referrerpolicy="no-referrer" />
<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/11.9.0/styles/default.min.css">
<script src="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/11.9.0/highlight.min.js"></script>
<script>hljs.highlightAll();</script>
<style>
body {
background: #ECE9E6; /* fallback for old browsers */
background: -webkit-linear-gradient(to right, #FFFFFF, #ECE9E6); /* Chrome 10-25, Safari 5.1-6 */
background: linear-gradient(to right, #FFFFFF, #ECE9E6); /* W3C, IE 10+/ Edge, Firefox 16+, Chrome 26+, Opera 12+, Safari 7+ */
font-family: "Josefin Sans", sans-serif;
color: #333333;
line-height: 1.6;
margin: 0;
padding: 0;
}
.container {
max-width: 900px;
margin: 40px auto;
padding: 20px;
}
.logo {
font-size: 5em;
text-align: left;
color: #A0522D;
margin-bottom: 15px;
font-weight: normal;
font-family: "Monoton", sans-serif;
font-weight: 400;
font-style: normal;
}
.logo-text {
font-size: 0.75em;
text-align: left;
color: #A0522D;
font-weight: normal;
font-family: "Monoton", sans-serif;
font-weight: 400;
font-style: normal;
}
h1, h2, h3 {
font-family: "Josefin Sans", sans-serif;
font-optical-sizing: auto;
font-weight: 700;
font-style: normal;
color: #581845; /* A darker accent color, e.g., a deep purple/maroon */
margin-top: 30px;
margin-bottom: 15px;
}
h1 {
font-size: 2.2em;
text-align: center;
margin-bottom: 25px;
}
h2 {
font-size: 1.8em;
border-bottom: 1px solid #cccccc;
padding-bottom: 5px;
}
h3 {
font-size: 1.4em;
font-weight: 700;
}
p, li {
font-family: "Josefin Sans", sans-serif;
font-optical-sizing: auto;
font-weight: 200;
font-style: normal;
font-size: 1.4em;
margin-bottom: 15px;
}
a {
color: #007bff; /* Standard link blue, or choose another accent */
text-decoration: none;
}
a:hover {
text-decoration: underline;
}
.button-container {
text-align: center;
margin: 30px 0;
}
.button {
display: inline-block;
background-color: #8B4513;
color: #FFFFFF;
padding: 12px 25px;
border: none;
border-radius: 5px;
font-family: 'PT Serif', serif;
font-weight: 700;
font-size: 1.1em;
text-decoration: none;
margin: 10px;
cursor: pointer;
transition: background-color 0.3s ease;
}
.button:hover {
background-color: #A0522D; /* Sienna - slightly lighter brown */
text-decoration: none;
color: #FFFFFF;
}
.access-section {
background-color: #E2E2E2; /* fallback for old browsers */
background-color: -webkit-linear-gradient(to right, #FFFFFF, #E2E2E2); /* Chrome 10-25, Safari 5.1-6 */
background-color: linear-gradient(to right, #FFFFFF, #E2E2E2); /* W3C, IE 10+/ Edge, Firefox 16+, Chrome 26+, Opera 12+, Safari 7+ */
background: linear-gradient(to right, #FFFFFF, #E2E2E2);
padding: 20px;
border-radius: 8px;
margin-top: 30px;
}
.access-method {
margin-bottom: 20px;
}
.footer {
text-align: center;
margin-top: 50px;
font-size: 0.9em;
color: #666666;
}
/* Optional: Add a subtle placeholder image area */
.hero-image-placeholder {
background-color: #ddd;
height: 250px;
margin-bottom: 30px;
display: flex;
align-items: center;
justify-content: center;
text-align: center;
color: #888;
font-style: italic;
/* /* border-radius: 5px; */
}
.stats {
display: flex;
justify-content: space-around;
text-align: center;
margin: 40px 0;
}
.stat-item {
padding: 20px;
}
.stat-number {
font-size: 2.5rem;
font-weight: 700;
color: #4a6fa5;
}
.stat-label {
font-size: 1.1rem;
}
@media (max-width: 768px) {
.logo {
font-size: 2.5rem;
}
.stats {
flex-direction: column;
}
.stat-item {
margin-bottom: 20px;
}
}
.citation {
background-color: #E2E2E2; /* fallback for old browsers */
background-color: -webkit-linear-gradient(to right, #FFFFFF, #E2E2E2); /* Chrome 10-25, Safari 5.1-6 */
background-color: linear-gradient(to right, #FFFFFF, #E2E2E2); /* W3C, IE 10+/ Edge, Firefox 16+, Chrome 26+, Opera 12+, Safari 7+ */
padding: 25px;
border-radius: 8px;
box-shadow: 0 4px 8px rgba(0, 0, 0, 0.05);
}
code {
display: block;
background-color: #f7f7f7;
padding: 15px;
border-radius: 4px;
white-space: pre-wrap;
font-family: monospace;
margin: 15px 0;
}
table{
width:100%;
border-collapse:collapse;
font-family:Arial,Helvetica,sans-serif;
font-size:0.95rem;
}
th,td{
font-family: "Josefin Sans", sans-serif;
font-optical-sizing: auto;
font-weight: 350;
font-style: normal;
border:1px solid #d0d0d0;
padding:8px 6px;
vertical-align:top;
}
th{
background:#f5f5f5;
text-align:left;
font-weight:600;
}
tbody tr:nth-child(even){
background:#fafafa;
}
caption{
font-family: "Josefin Sans", sans-serif;
font-optical-sizing: auto;
font-weight: 200;
font-style: normal;
caption-side:top;
text-align:left;
font-size:1.1rem;
font-weight:600;
margin:0 0 .4rem 0;
}
.faq-list {
max-width: 800px;
margin: 0 auto;
}
.faq-list details {
margin-bottom: 1.5em;
padding: 1em;
border: 1px solid #ddd;
border-radius: 6px;
background: #fafbfc;
}
.faq-images {
display: flex;
gap: 1em;
flex-wrap: wrap;
margin: 1em 0;
}
.faq-images img {
max-width: 100%;
height: auto;
border: 1px solid #ccc;
border-radius: 4px;
}
/* Team Section Styles - Compact Version */
.team-section {
background: linear-gradient(135deg, #E2E2E2, #F5F5F5);
padding: 30px 20px; /* Reduced from 40px */
border-radius: 12px;
margin-top: 30px; /* Reduced from 40px */
box-shadow: 0 8px 25px rgba(0, 0, 0, 0.08);
}
.team-grid {
display: grid;
grid-template-columns: repeat(auto-fit, minmax(240px, 1fr)); /* Reduced from 280px */
gap: 25px; /* Reduced from 40px */
margin-top: 20px; /* Reduced from 30px */
}
.team-member {
text-align: center;
transition: transform 0.3s ease, box-shadow 0.3s ease;
padding: 15px; /* Reduced from 20px */
border-radius: 15px;
background: linear-gradient(145deg, rgba(255,255,255,0.9), rgba(255,255,255,0.6));
backdrop-filter: blur(10px);
border: 1px solid rgba(255,255,255,0.3);
}
.team-member:hover {
transform: translateY(-8px);
box-shadow: 0 15px 40px rgba(0, 0, 0, 0.15);
}
.team-photo {
width: 100px; /* Reduced from 140px */
height: 100px; /* Reduced from 140px */
border-radius: 50%;
margin: 0 auto 15px; /* Reduced margin from 20px */
position: relative;
overflow: hidden;
background: linear-gradient(135deg, #A0522D, #8B4513);
display: flex;
align-items: center;
justify-content: center;
box-shadow: 0 8px 25px rgba(160, 82, 45, 0.3);
transition: all 0.3s ease;
}
.team-member:hover .team-photo {
box-shadow: 0 12px 35px rgba(160, 82, 45, 0.4);
transform: scale(1.05);
}
.team-photo img {
width: 100%;
height: 100%;
object-fit: cover;
border-radius: 50%;
}
.team-photo .placeholder-icon {
font-size: 2.5rem; /* Reduced from 3.5rem */
color: #FFFFFF;
opacity: 0.9;
}
.team-name {
font-family: "Josefin Sans", sans-serif;
font-size: 1.4em; /* Reduced from 1.6em */
font-weight: 600;
color: #581845;
margin-bottom: 6px; /* Reduced from 8px */
transition: color 0.3s ease;
}
.team-name > a {
color: #581845;
}
.team-member:hover .team-name {
color: #A0522D;
}
.team-role {
font-family: "Josefin Sans", sans-serif;
font-size: 1em; /* Reduced from 1.1em */
font-weight: 400;
color: #666;
margin-bottom: 10px; /* Reduced from 15px */
text-transform: uppercase;
letter-spacing: 1px;
}
.lead-pi {
grid-column: 1 / -1;
max-width: 350px; /* Reduced from 400px */
margin: 0 auto;
background: linear-gradient(145deg, rgba(160, 82, 45, 0.1), rgba(139, 69, 19, 0.05));
border: 2px solid rgba(160, 82, 45, 0.2);
}
.lead-pi .team-photo {
width: 120px; /* Reduced from 160px */
height: 120px; /* Reduced from 160px */
background: linear-gradient(135deg, #581845, #A0522D);
}
.lead-pi .team-name {
font-size: 1.6em; /* Reduced from 1.8em */
color: #581845;
}
.lead-pi .team-role {
font-size: 1.1em; /* Reduced from 1.2em */
color: #A0522D;
font-weight: 500;
}
.authors-subtitle {
text-align: center;
font-family: "Josefin Sans", sans-serif;
font-size: 1.2em; /* Reduced from 1.3em */
color: #666;
margin-bottom: 20px; /* Reduced from 30px */
font-weight: 300;
}
</style>
</head>
<body>
<div class="container">
<div class="logo">SciSciNet</div>
<section id="about">
<h2>About the Dataset</h2>
<p><b>SciSciNet-v2</b> is a refreshed update to <a href="https://doi.org/10.1038/s41597-023-02198-9" target="_blank">SciSciNet</a> which is a large-scale, integrated dataset designed to support research in the science of science domain.
It combines scientific publications with their network of relationships to funding sources, patents, citations, and institutional affiliations, creating a
rich ecosystem for analyzing scientific productivity, impact, and innovation.</p>
<div class="stats">
<div class="stat-item">
<div class="stat-number">~250M</div>
<div class="stat-label">Research Papers</div>
</div>
<div class="stat-item">
<div class="stat-number">~2.5B</div>
<div class="stat-label">Citations</div>
</div>
<div class="stat-item">
<div class="stat-number">100M</div>
<div class="stat-label">Authors</div>
</div>
<div class="stat-item">
<div class="stat-number">45M+</div>
<div class="stat-label">Patent Linkages</div>
</div>
</div>
</section>
<section class="access-section" id="access">
<h2>Access <span class="logo-text">Sciscinet-v2</span></h2>
<p>SciSciNet‑v2 is available through multiple platforms. Choose the one that best fits your workflow and copy the snippet to get started:</p>
<div class="access-method">
<h3><i class="fa-solid fa-cloud-arrow-down icon" aria-hidden="true"></i> Cloud Storage (Direct Download)</h3>
<p>Download the complete dataset files directly from our public Cloud Storage bucket.</p>
<pre><code language="shell">$ gsutil -m cp -r gs://sciscinet-neo/v2/* ./sciscinet-v2/</code></pre>
</div>
<div class="access-method">
<h3><i class="fa-solid fa-database icon" aria-hidden="true"></i> Google-BigQuery</h3>
<p>Query the dataset directly on BigQuery—no downloading required. Please request for <a href="https://forms.office.com/r/AAi9SnGEsR" target="_blank">access via BigQuery</a>.</p>
<pre><code language="SQL">-- sample query (SQL)
SELECT paperid, C3, C5, C10
FROM `ksm-rch-scisciturbo.sciscinet_v2.sciscinet_papers`
WHERE year = 2014
LIMIT 100;</code></pre>
<p>Or, you can use python to run the same query.</p>
<pre><code language="python">
from google.cloud import bigquery
sql_query="""
SELECT paperid, C3, C5, C10
FROM `ksm-rch-scisciturbo.sciscinet_v2.sciscinet_papers`
WHERE year = 2014
LIMIT 100;
"""
client = bigquery.Client(project="ksm-rch-scisciturbo")
results = list(client.query(sql_query).result())
</code></pre>
<div class="button-container">
<a href="https://forms.office.com/r/AAi9SnGEsR" class="button" target="_blank" rel="noopener">Access via BigQuery</a>
</div>
</div>
<div class="access-method">
<h3><i class="fa-solid fa-robot icon" aria-hidden="true"></i> Hugging Face Datasets</h3>
<p>Load SciSciNet‑v2 straight into Python using <pre><code language="shell">pip install -U "huggingface_hub[cli]"</code></pre></p>
<pre><code language="shell">from huggingface_hub import snapshot_download
repo_id = "Northwestern-CSSI/sciscinet-v2"
local_dir = "/path/to/your/directory"
snapshot_download(repo_id=repo_id, local_dir=local_dir, repo_type="dataset")
</code></pre>
<div class="button-container">
<a href="https://huggingface.co/datasets/Northwestern-CSSI/sciscinet-v2" class="button" target="_blank" rel="noopener">Use with Hugging Face</a>
</div>
</div>
</section>
<section class="access-section" id="access">
<h2>Access <span class="logo-text">Sciscinet-v1</span></h2>
<p>The original version SciSciNet-v1 is available through <a href="https://springernature.figshare.com/collections/SciSciNet_A_large-scale_open_data_lake_for_the_science_of_science_research/6076908/1" target="_blank">Figshare</a>. We also made it available
on Cloud storage and Huggingface similar to version 2. Choose the one that best fits your workflow:
</p>
<div class="access-method">
<h3><i class="fa-solid fa-cloud-arrow-down icon" aria-hidden="true"></i> Cloud Storage (Direct Download)</h3>
<p>Download the complete dataset files directly from our public Cloud Storage bucket.</p>
<pre><code language="shell">$ gsutil -m cp -r gs://sciscinet-neo/v1/* ./sciscinet-v1/</code></pre>
</div>
<div class="access-method">
<h3><i class="fa-solid fa-robot icon" aria-hidden="true"></i> Hugging Face Datasets</h3>
<p>Load SciSciNet‑v1 straight into Python using <pre><code language="shell">pip install -U "huggingface_hub[cli]"</code></pre></p>
<pre><code language="python">from huggingface_hub import snapshot_download
repo_id = "Northwestern-CSSI/sciscinet-v1"
local_dir = "/path/to/your/directory"
snapshot_download(repo_id=repo_id, local_dir=local_dir, repo_type="dataset")
</code></pre>
<div class="button-container">
<a href="https://huggingface.co/datasets/Northwestern-CSSI/sciscinet-v1" class="button" target="_blank" rel="noopener">Use with Hugging Face</a>
</div>
</div>
</section>
<section>
<table>
<caption>SciSciNet Tables</caption>
<h2>Getting Started & Documentation</h2>
<p>
To learn more about the dataset schema, data sources, construction methodology, and usage examples, please refer to our documentation and accompanying paper.
</p>
<img src="./media/v1_v2_fields.png" width="800" height="auto">
<img src="./media/v1_v2_years.png" width="800" height="auto">
<thead>
<tr><th>Dataset</th><th>Version</th><th>Count / Notes</th></tr>
</thead>
<tbody>
<tr><td rowspan="2">SciSciNet‑Papers</td><td>V1</td><td>134,129,188</td></tr>
<tr><td>V2</td><td>249,803,279</td></tr>
<tr><td rowspan="2">SciSciNet‑Authors</td><td>V1</td><td>134,197,162</td></tr>
<tr><td>V2</td><td>100,418,971</td></tr>
<tr><td rowspan="2">SciSciNet‑Affiliations</td><td>V1</td><td>26,998</td></tr>
<tr><td>V2</td><td>110,553</td></tr>
<tr><td rowspan="2">SciSciNet‑Fields</td><td>V1</td><td>311</td></tr>
<tr><td>V2</td><td>303</td></tr>
<tr><td rowspan="2">SciSciNet‑Journals</td><td>V1</td><td>49,066</td></tr>
<tr><td>V2</td><td>260,811</td></tr>
<tr><td rowspan="2">Paper‑Author‑Affiliations</td><td>V1</td><td>413,869,501</td></tr>
<tr><td>V2</td><td>772,984,433</td></tr>
<tr><td rowspan="2">Paper‑References</td><td>V1</td><td>1,588,739,703</td></tr>
<tr><td>V2</td><td>2,494,545,461</td></tr>
</tbody>
</table>
<br>
<table>
<caption>SciSciNet → NSF Links</caption>
<thead>
<tr><th>Version</th><th>Details</th></tr>
</thead>
<tbody>
<tr>
<td>V1</td>
<td>
Downloaded dump: 489 ,446 NSF awards<br>
1 ,309 ,518 linkages (MAGID → NSF Award #) to 148 ,148 awards
</td>
</tr>
<tr>
<td>V2</td>
<td>
Downloaded dump: 524 ,903 NSF awards<br>
1 ,580 ,522 linkages (PaperID → NSF Award #) to 334 ,996 awards
</td>
</tr>
</tbody>
</table>
<br>
<table>
<caption>SciSciNet → NIH Links</caption>
<thead>
<tr><th>Version</th><th>Details</th></tr>
</thead>
<tbody>
<tr>
<td>V1</td>
<td>
6 ,013 ,187 linkages (MAGID → NIH Project #)<br>
379 ,014 NIH projects
</td>
</tr>
<tr>
<td>V2</td>
<td>
6 ,546 ,836 linkages (PaperID → NIH Project #)<br>
603 ,388 NIH projects
</td>
</tr>
</tbody>
</table>
<br>
<table>
<caption>SciSciNet → Clinical Trials Links</caption>
<thead>
<tr><th>Version</th><th>Details</th></tr>
</thead>
<tbody>
<tr>
<td>V1</td>
<td>
686 ,524 records linking clinical trials to papers (PMID); 480 ,893 selected (type = “background”)<br>
438 ,220 linkages (MAGID → NCT #)
</td>
</tr>
<tr>
<td>V2</td>
<td>
935 ,249 records linking clinical trials to papers (PMID); 678 ,992 selected (type = “background”)<br>
612 ,587 linkages (PaperID → NCT #)
</td>
</tr>
</tbody>
</table>
</section>
<div class="button-container">
<a href="https://github.com/Northwestern-CSSI/sciscinet-v2/tree/main" class="button" target="_blank" rel="noopener noreferrer">View Documentation</a>
<a href="https://github.com/Northwestern-CSSI/sciscinet-v2/tree/main" class="button" target="_blank" rel="noopener noreferrer">View GitHub Repo</a>
</div>
<section id="faq">
<h3>FAQ about <span class="logo-text">Sciscinet-v2</span></h3>
<div class="faq-list">
<details>
<summary>1. How does Sciscinet-v2 compare to the previous version?</summary>
<div class="faq-images">
<img src="https://github.com/Northwestern-CSSI/sciscinet/blob/main/media/twt-image-4.png?raw=true" width="400" alt="Comparison 1">
<img src="https://github.com/Northwestern-CSSI/sciscinet/blob/main/media/twt-image-5.png?raw=true" width="400" alt="Comparison 2">
</div>
</details>
<details>
<summary>2. Does Sciscinet-v2 include precomputed metrics and linkages?</summary>
<div class="faq-images">
<img src="https://github.com/Northwestern-CSSI/sciscinet/blob/main/media/twt-image-7.png?raw=true" width="400" alt="Metrics 1">
<img src="https://github.com/Northwestern-CSSI/sciscinet/blob/main/media/twt-image-6.png?raw=true" width="400" alt="Metrics 2">
</div>
</details>
<details>
<summary>3. Do you have precomputed embeddings for papers?</summary>
<div class="faq-images">
<img src="https://github.com/Northwestern-CSSI/sciscinet/blob/main/media/twt-image-8.png?raw=true" width="400" alt="Embeddings">
</div>
<p>
Due to the sheer size of the embeddings (1.7TB), the chunked embeddings are hosted on Google Cloud Storage. The easiest way to access them is through the following command:
</p>
<pre><code>$ gsutil -m cp -r gs://sciscinet-neo/v2/embeddings/* ./path/to/your/directory/</code></pre>
</details>
<details>
<summary>4. I do not see <code>sciscinet_paperdetails.parquet</code> or <code>sciscinet_papertitleabstract.parquet</code> on Huggingface, where can I find them?</summary>
<p>
<code>sciscinet_paperdetails.parquet</code> (117 GB) and <code>sciscinet_papertitleabstract.parquet</code> (92GB) are hosted on Google Cloud Storage and Big Query exclusively due to file size. You can access them using these commands:
</p>
<pre><code>$ gsutil ls gs://sciscinet-neo/v2 | grep -e "sciscinet_paperdetails"
gs://sciscinet-neo/v2/sciscinet_paperdetails.parquet
$ gsutil ls gs://sciscinet-neo/v2 | grep -e "sciscinet_papertitleabstract"
gs://sciscinet-neo/v2/sciscinet_papertitleabstract.parquet
</code></pre>
</details>
<details>
<summary>5. I do not see <code>sciscinet_journals</code> similar to v1, where can I find journal information?</summary>
<p>
Since <strong>Sciscinet-v2</strong> is built on top of <a href="https://docs.openalex.org/" target="_blank">OpenAlex</a>, journal information is stored as <a href="https://docs.openalex.org/api-entities/sources">Sources</a>. You can find the same in the file <code>sciscinet_sources.parquet</code> and paper-source mapping in <code>sciscinet_papersources.parquet</code>.
</p>
</details>
</div>
</section>
<section class="team-section" id="team">
<h2>Team behind <span class="logo-text">Sciscinet-v2</span></h2>
<div class="team-grid">
<!-- Lead PI -->
<div class="team-member lead-pi">
<div class="team-photo">
<img src="./media/dashun_wang.png" alt="Dashun Wang">
</div>
<div class="team-name"><a href="https://www.dashunwang.com/" target="_blank">Dashun Wang</a></div>
<div class="team-role">Lead Principal Investigator</div>
</div>
</div>
<div class="team-grid">
<!-- Author 1 -->
<div class="team-member">
<div class="team-photo">
<img src="./media/akella_akhil.jpg" alt="Akhil Akella">
</div>
<div class="team-name"><a href="https://akhilpandey95.github.io/" target="_blank">Akhil Akella</a></div>
<div class="team-role">Author</div>
</div>
<!-- Author 2 -->
<div class="team-member">
<div class="team-photo">
<img src="./media/lin_zihang.jpg" alt="Zihang Lin">
</div>
<div class="team-name"><a href="https://ezlzh.github.io/" target="_blank">Zihang Lin</a></div>
<div class="team-role">Author</div>
</div>
<!-- Author 3 -->
<div class="team-member">
<div class="team-photo">
<img src="./media/qian_yifan.jpg" alt="Yifan Qian">
</div>
<div class="team-name"><a href="https://yifanqian.com/" target="_blank">Yifan Qian</a></div>
<div class="team-role">Author</div>
</div>
</div>
</section>
<section id="citation">
<h2>How to Cite</h2>
<div class="citation">
<p>If you use SciSciNet-v2 in your research, please cite:</p>
<code>Lin, Z., Yin, Y., Liu, L. et al. SciSciNet: A large-scale open data lake for the science of science research. Sci Data 10, 315 (2023). https://doi.org/10.1038/s41597-023-02198-9.</code>
</div>
</section>
<section id="citation">
<h2>Acknowledgement</h2>
<div class="citation">
<p>
This material is based upon work supported by the National Science Foundation under Grant No. 2404035.
Any opinions,findings, and conclusions or recommendations expressed in this material
are those of the author(s) and do not necessarily reflect the views of the
National Science Foundation.
</p>
</div>
</section>
<div class="footer">
<p>2025. <span><a href="https://www.kellogg.northwestern.edu/academics-research/science-of-science/" target="_blank">Center for Science of Science and Innovation (CSSI)</a></span>, <br/>Kellogg School of Management, Northwestern University.</p>
</div>
</div>
</body>
</html>